{"meta":{"query_hash":"5a645d359bd8","filters":{"topic":"Firm Innovation and Growth"},"cohort_total":1145,"direct_labels_cover":3,"predictions_cover":1145,"exported":1145,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5a645d359bd8","api":"https://metacan.xera.ac/api/v1/cohort?topic=Firm+Innovation+and+Growth"},"results":[{"id":"W1156456560","doi":"","title":"Managerial Strategy Implementation for Growth : Small Businesses in Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Small business; Order (exchange); Marketing; Industrial organization; Process management; Finance","score_opus":0.08739157055788765,"score_gpt":0.24693848365873378,"score_spread":0.15954691310084612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1156456560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720015,0.0009946034,0.00031532062,0.0037945383,0.000025580544,0.000072442934,0.000622039,0.000024461606,0.022149406],"genre_scores_gemma":[0.9940744,0.00051953946,0.00022826593,0.0001965624,0.000003675818,0.000009549972,0.0002349284,0.0000053880412,0.0047276625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835473,0.000112118134,0.000027077014,0.000079736164,0.00053929124,0.00088696677],"domain_scores_gemma":[0.99410135,0.00047307697,0.0005305481,0.00007139908,0.0026722695,0.0021512934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035138,0.00027353645,0.00026125758,0.0017940302,0.0075354106,0.0031041603,0.0010193305,0.00056183874,0.0028165488],"category_scores_gemma":[0.005194141,0.00018715212,0.0002333638,0.0030880591,0.0013590637,0.00083500234,0.0011996181,0.0012053548,0.00019096989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059210835,0.00045457968,0.75833845,0.00034524073,0.00008122587,0.0018827613,0.0399373,0.004112678,0.0025037387,0.027912978,0.024963668,0.13887532],"study_design_scores_gemma":[0.000038682323,0.000107776745,0.87404734,0.00017901423,0.000044015957,0.00014331413,0.07618477,0.0043816143,0.0009265652,0.0011470582,0.04272803,0.00007188961],"about_ca_topic_score_codex":0.99790823,"about_ca_topic_score_gemma":0.99918824,"teacher_disagreement_score":0.14286834,"about_ca_system_score_codex":0.14286834,"about_ca_system_score_gemma":0.19136067,"threshold_uncertainty_score":0.99415123},"labels":[],"label_agreement":null},{"id":"W119411011","doi":"","title":"Apprentissage et Innovation: Une Analyse Econometrique a Partir De Donnees D'enquete Dans Les Entreprises Des Regions De Quebec et De Chaudiere-Appalaches (*)","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","score_opus":0.06665606231133966,"score_gpt":0.272668238062605,"score_spread":0.20601217575126532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119411011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90187055,0.025082963,0.010154068,0.004037644,0.00007655031,0.0003527337,0.015184798,0.00008668629,0.04315393],"genre_scores_gemma":[0.950381,0.010900058,0.0079070255,0.00032144375,0.000045484237,0.0002668728,0.0049617607,0.00005075808,0.025165744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728584,0.00061882345,0.00018489665,0.00039150365,0.0011627887,0.0003561037],"domain_scores_gemma":[0.9874071,0.006135488,0.0014154058,0.00036487906,0.00423577,0.00044134958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038194347,0.0005071152,0.0010251235,0.008989047,0.0030663365,0.005884443,0.0008801147,0.0007589774,0.008189831],"category_scores_gemma":[0.010116372,0.00037256294,0.0011167316,0.02185217,0.001576158,0.0020736982,0.0014685014,0.0008683069,0.00071780774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032360986,0.00014121452,0.7088684,0.0027188538,0.000847912,0.0011683768,0.07088308,0.010511576,0.0013080757,0.02575754,0.011772788,0.16569857],"study_design_scores_gemma":[0.000015818438,0.000069580485,0.87817854,0.0007744064,0.00028069245,0.00014915114,0.02981429,0.0041315793,0.0004851619,0.0017258525,0.08429492,0.000080008016],"about_ca_topic_score_codex":0.93875295,"about_ca_topic_score_gemma":0.946888,"teacher_disagreement_score":0.06124705,"about_ca_system_score_codex":0.027357236,"about_ca_system_score_gemma":0.022629738,"threshold_uncertainty_score":0.19849157},"labels":[],"label_agreement":null},{"id":"W139789606","doi":"10.2139/ssrn.2477217","title":"Applied Survey Data Analysis Using Stata: The Kauffman Firm Survey Data","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Survey data collection; Job creation; Business; Marketing; Industrial organization; Economics; Labour economics; Mathematics; Statistics","score_opus":0.14136630774153888,"score_gpt":0.2910869451131584,"score_spread":0.14972063737161953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W139789606","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055759706,0.0003228511,0.21962786,0.002097481,0.000900359,0.027282065,0.6617328,0.008841406,0.023435539],"genre_scores_gemma":[0.19322124,0.00059425196,0.41659033,0.0014764146,0.00045902436,0.12046957,0.23363635,0.0046889097,0.028863924],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9806644,0.009915698,0.0036263666,0.0025320523,0.002017078,0.001244469],"domain_scores_gemma":[0.92883945,0.03086071,0.008644826,0.018209588,0.012182494,0.0012628491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0128453225,0.0012745388,0.0018410832,0.008484184,0.0009712638,0.002332428,0.0023041493,0.0013394635,0.08557637],"category_scores_gemma":[0.0937481,0.0010679582,0.0020496908,0.014776553,0.000836946,0.001609135,0.0031143525,0.0038272317,0.018740404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012543404,0.0014374062,0.07436616,0.0034225057,0.0012587777,0.0006233482,0.0031165688,0.016577533,0.0016693536,0.033505954,0.60693586,0.2558322],"study_design_scores_gemma":[0.001932036,0.0014502553,0.17633262,0.002202924,0.0009008173,0.00062908954,0.004814924,0.043684963,0.006176818,0.051121164,0.7103773,0.00037712217],"about_ca_topic_score_codex":0.014122965,"about_ca_topic_score_gemma":0.012395284,"teacher_disagreement_score":0.08557637,"about_ca_system_score_codex":0.0019827434,"about_ca_system_score_gemma":0.007877326,"threshold_uncertainty_score":0.28628147},"labels":[],"label_agreement":null},{"id":"W144608250","doi":"","title":"The Role of Returnee-Entrepreneurs in Cluster Emergence: The Case of Shanghai’s Semiconductor-Design Industry","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Multinational corporation; Competition (biology); Cluster (spacecraft); Economic geography; Business; Semiconductor industry; Emerging markets; Indigenous; Business cluster; Industrial organization; Economics; Engineering","score_opus":0.022435793670369384,"score_gpt":0.23612728958620205,"score_spread":0.21369149591583267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W144608250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913523,0.00010261028,0.00038680295,0.00070697785,0.000004724648,0.000016526,0.000010036641,0.000005349624,0.0074146176],"genre_scores_gemma":[0.9982973,0.00010012089,0.00015793373,0.0000498956,0.0000027856083,0.000004586691,0.000011622596,0.0000017046101,0.0013741622],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9993456,0.0002316653,0.000010463252,0.000039971852,0.000047270198,0.00032499875],"domain_scores_gemma":[0.9983382,0.000689667,0.00018613455,0.000066583605,0.00012355958,0.00059585326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011463845,0.00023094118,0.00021433464,0.0012319871,0.0074070273,0.0026121656,0.00067410665,0.0010430887,0.0032334647],"category_scores_gemma":[0.0014462032,0.0001618872,0.00030038314,0.0010881796,0.0032638204,0.0013307667,0.0028147977,0.00094779197,0.00019427815],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006875506,0.0007509319,0.37017524,0.00026079197,0.00007086167,0.06178927,0.38821116,0.00785589,0.0056382422,0.11042958,0.0064148433,0.047715615],"study_design_scores_gemma":[0.00014998027,0.00034008396,0.26920986,0.00015441683,0.00010269148,0.0029768427,0.65802205,0.015428135,0.0019607723,0.012186902,0.039373882,0.00009442157],"about_ca_topic_score_codex":0.07607701,"about_ca_topic_score_gemma":0.13818838,"teacher_disagreement_score":0.07607701,"about_ca_system_score_codex":0.005866251,"about_ca_system_score_gemma":0.0025519063,"threshold_uncertainty_score":0.15126842},"labels":[],"label_agreement":null},{"id":"W145739709","doi":"","title":"Les Systemes Locaux D'innovation: Quelle Portee Pour Les Pays Moins Avances? * (Research Notes/Notes De Recherche)","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Local Development; Humanities; Political science; Sociology; Regional science; Philosophy","score_opus":0.5101926521371173,"score_gpt":0.4089069054512079,"score_spread":0.1012857466859094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W145739709","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08449791,0.035669826,0.044453952,0.08746702,0.0010902913,0.00015507199,0.0008818542,0.00020616478,0.745578],"genre_scores_gemma":[0.9244294,0.01250581,0.008608899,0.0018203708,0.0005878401,0.00017540509,0.00031610217,0.00007307929,0.051483065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953242,0.002441107,0.0001787015,0.00065272424,0.00077335926,0.00062989735],"domain_scores_gemma":[0.9959422,0.0019214133,0.00060587376,0.00036012675,0.00091658166,0.0002538579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003643076,0.00030806713,0.0005307538,0.0015942119,0.0029443468,0.014395915,0.0009032661,0.0017535014,0.02491808],"category_scores_gemma":[0.004958275,0.0002698154,0.0008394531,0.004499296,0.009749128,0.009193468,0.0032778897,0.0022363118,0.0019848088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008663482,0.000008208837,0.0008352107,0.00008264069,0.000005705858,0.000058468337,0.0024357256,0.00054256455,0.00009493669,0.9860387,0.0040872185,0.0058019473],"study_design_scores_gemma":[0.000021761542,0.00004603642,0.011024098,0.0005195507,0.000024922765,0.00045920245,0.018881531,0.002726915,0.00065817125,0.49108547,0.47449473,0.00005766089],"about_ca_topic_score_codex":0.028906979,"about_ca_topic_score_gemma":0.014588815,"teacher_disagreement_score":0.028906979,"about_ca_system_score_codex":0.013036849,"about_ca_system_score_gemma":0.0058706766,"threshold_uncertainty_score":0.09458941},"labels":[],"label_agreement":null},{"id":"W1479880456","doi":"","title":"Plant Divestitures and Acquisitions in the Canadian Manufacturing Sector","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Divestment; Mergers and acquisitions; Manufacturing sector; Perspective (graphical); Business; Economic geography; Industrial organization; International trade; Economics; International economics; Finance","score_opus":0.0538519804572045,"score_gpt":0.27307162217496656,"score_spread":0.21921964171776206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479880456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968009,0.00041740082,0.0000384276,0.00017628782,0.0000018427838,0.000006402376,0.00019461487,0.0000022426539,0.0023617921],"genre_scores_gemma":[0.99850106,0.0004027097,0.00003389109,0.000021674023,0.0000027590402,0.0000011815306,0.00022465778,8.7534517e-7,0.0008111723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899405,0.00003946862,0.000028837278,0.00007225051,0.0004191082,0.0004462818],"domain_scores_gemma":[0.996546,0.00034421956,0.0015126267,0.000073155126,0.00078876835,0.00073521264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057923427,0.00015702756,0.00021507447,0.0024072381,0.0017076244,0.00155581,0.0004835807,0.00055960024,0.00181711],"category_scores_gemma":[0.003519973,0.00017138073,0.00026890554,0.003646879,0.0009654877,0.0008179156,0.0011139208,0.0006487865,0.00013764833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008734202,0.000044512155,0.9801239,0.000023897046,0.000019790687,0.00042761976,0.0020113376,0.0013869595,0.00061075063,0.0012402,0.0006413232,0.013382376],"study_design_scores_gemma":[0.0000013144157,0.000012213304,0.99692047,0.0000065404915,0.0000043303207,0.0000772261,0.0015853491,0.0004439082,0.00006773962,0.0000670998,0.00080716395,0.000006735353],"about_ca_topic_score_codex":0.9128847,"about_ca_topic_score_gemma":0.9648681,"teacher_disagreement_score":0.08711529,"about_ca_system_score_codex":0.015510205,"about_ca_system_score_gemma":0.010375312,"threshold_uncertainty_score":0.17525661},"labels":[],"label_agreement":null},{"id":"W1481009058","doi":"10.7202/601299ar","title":"Les nouvelles technologies et l’emploi au Québec","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Concurrence; Humanities; Political science; Economics; Philosophy","score_opus":0.06632976245874385,"score_gpt":0.25748486610841814,"score_spread":0.1911551036496743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481009058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7687976,0.0075112795,0.00570956,0.006969509,0.00009412508,0.00007279466,0.002334904,0.00011050884,0.20839973],"genre_scores_gemma":[0.9125054,0.0038127608,0.0012360474,0.0002980535,0.000013951825,0.000031522708,0.0004960284,0.000022938222,0.08158334],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993843,0.00010232087,0.000014901085,0.00008853934,0.00023217725,0.00017770116],"domain_scores_gemma":[0.9979601,0.00056320167,0.00019116321,0.00008560223,0.0009903763,0.0002095063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065410195,0.00023629909,0.00017386679,0.0011994005,0.0018517122,0.002418117,0.00043487438,0.0005222191,0.013481048],"category_scores_gemma":[0.0022696122,0.000108382046,0.00022624942,0.002427093,0.00086697796,0.0009491683,0.0005002167,0.0006609377,0.0008112368],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037391856,0.00037551348,0.3140538,0.00086589577,0.0002004854,0.0012691409,0.012152756,0.032037377,0.008903276,0.09912003,0.036426783,0.494221],"study_design_scores_gemma":[0.000017950368,0.00012476493,0.7920869,0.00039244507,0.000083885854,0.00012776398,0.00827108,0.011160929,0.0023670008,0.0036201263,0.18168494,0.000062244566],"about_ca_topic_score_codex":0.9661877,"about_ca_topic_score_gemma":0.9804411,"teacher_disagreement_score":0.033812284,"about_ca_system_score_codex":0.02768078,"about_ca_system_score_gemma":0.014839106,"threshold_uncertainty_score":0.2008391},"labels":[],"label_agreement":null},{"id":"W1481419068","doi":"","title":"L'innovation et la formation dans les nouvelles entreprises","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04971009112794848,"score_gpt":0.3033290722661645,"score_spread":0.253618981138216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481419068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6264896,0.03499427,0.020252278,0.011089362,0.00038532587,0.00012732379,0.00019404397,0.00008045748,0.30638742],"genre_scores_gemma":[0.91240156,0.021685999,0.0070923,0.00070394494,0.00021168779,0.00013332888,0.000092502836,0.000032209264,0.05764647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9962239,0.0013243165,0.00012156244,0.00073190854,0.0011132609,0.00048498824],"domain_scores_gemma":[0.9810863,0.01273439,0.003031391,0.0006672575,0.0015840558,0.0008966211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004147577,0.00038642867,0.0004838569,0.002738671,0.0026788597,0.010471976,0.00077660667,0.002267663,0.011097355],"category_scores_gemma":[0.009130166,0.00031029442,0.0008271426,0.0030467398,0.0058870404,0.006805488,0.0029365947,0.0018738197,0.001350513],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018781461,0.00047473906,0.065654,0.0015662469,0.00015859693,0.001337152,0.06369551,0.0022217822,0.003558883,0.62022173,0.002935618,0.23798794],"study_design_scores_gemma":[0.000052540756,0.00044931943,0.17279987,0.001410101,0.00017426268,0.0018264846,0.04329714,0.0041175797,0.0062720026,0.18325473,0.58616984,0.00017609468],"about_ca_topic_score_codex":0.006762531,"about_ca_topic_score_gemma":0.009212407,"teacher_disagreement_score":0.011097355,"about_ca_system_score_codex":0.004182701,"about_ca_system_score_gemma":0.0036847042,"threshold_uncertainty_score":0.037124336},"labels":[],"label_agreement":null},{"id":"W1481475518","doi":"","title":"Productivite du travail des entreprises individuelles et des societes de personnes non constituees: incidence sur l'ecart de productivite entre le Canada et les Etats-Unis","year":2011,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.04292803970785592,"score_gpt":0.2583433157041268,"score_spread":0.21541527599627086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481475518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889237,0.0012967346,0.0007151165,0.0001390067,0.000008819408,0.000030507605,0.002699075,0.000022938393,0.006164005],"genre_scores_gemma":[0.99010533,0.0013496407,0.0010306751,0.000034516546,0.000009739182,0.000047748308,0.0018896426,0.00001319298,0.005519449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984414,0.00020585526,0.00007914728,0.0002548651,0.0007245187,0.00029419572],"domain_scores_gemma":[0.99412316,0.000973246,0.0017249782,0.0003045566,0.0022291967,0.0006449192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014493108,0.0004392775,0.00039470787,0.0029059018,0.0011869502,0.0018826097,0.0007068968,0.00029361516,0.003617417],"category_scores_gemma":[0.0036221468,0.00026294886,0.0006705847,0.006455992,0.0008773742,0.00071553275,0.0010571646,0.00059319707,0.00032425715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065630105,0.000016597656,0.9803043,0.00008139021,0.00016792849,0.000053228723,0.003146072,0.00013460734,0.00042137495,0.0004703423,0.00025573577,0.014882912],"study_design_scores_gemma":[8.1795315e-7,0.0000163698,0.9954601,0.000024621882,0.000024932844,0.000032390297,0.0020684705,0.00014187102,0.00015135239,0.00005031062,0.0020218028,0.000007024367],"about_ca_topic_score_codex":0.75868374,"about_ca_topic_score_gemma":0.8392416,"teacher_disagreement_score":0.24131626,"about_ca_system_score_codex":0.005393454,"about_ca_system_score_gemma":0.0067073377,"threshold_uncertainty_score":0.48547482},"labels":[],"label_agreement":null},{"id":"W1482263239","doi":"","title":"A Detailed Analysis of the Productivity Performance of the Canadian Food Manufacturing Subsector","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Human capital; Economics; Manufacturing sector; Labour economics; Manufacturing; Business; Total factor productivity; Economic growth","score_opus":0.05739239084557784,"score_gpt":0.24826639019332838,"score_spread":0.19087399934775054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482263239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9277774,0.0026089966,0.0007456119,0.00046209246,0.00002623325,0.00007665167,0.041934393,0.00008699649,0.026281644],"genre_scores_gemma":[0.9521328,0.002345494,0.0008615915,0.000051508607,0.000017493443,0.000024081352,0.026939806,0.000021286443,0.017605923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992267,0.00001985198,0.000017968941,0.00006967029,0.0003473642,0.0003185095],"domain_scores_gemma":[0.9984274,0.00007197199,0.00013620254,0.00004419159,0.0011649627,0.00015536019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005301635,0.0005027331,0.00035288173,0.0059060776,0.0013710284,0.0012782898,0.00053348584,0.00022353524,0.0035005184],"category_scores_gemma":[0.0014732161,0.0001545799,0.0005935302,0.013381003,0.00023963957,0.00032108737,0.00048785782,0.00027979744,0.00066937343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028064346,0.000063001535,0.82518333,0.00037038705,0.00025657512,0.00053196243,0.0024772545,0.010286234,0.0041674785,0.0038091457,0.016069291,0.13650472],"study_design_scores_gemma":[0.0000010632252,0.00001726668,0.9885761,0.000012683672,0.000013628868,0.000030599607,0.00046262867,0.000639037,0.00027840765,0.00003308666,0.009924343,0.000011147187],"about_ca_topic_score_codex":0.98523825,"about_ca_topic_score_gemma":0.99131525,"teacher_disagreement_score":0.01871953,"about_ca_system_score_codex":0.01871953,"about_ca_system_score_gemma":0.019270115,"threshold_uncertainty_score":0.13582033},"labels":[],"label_agreement":null},{"id":"W1482455904","doi":"10.2139/ssrn.1027918","title":"Kauffman Firm Survey: Presentation","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Presentation (obstetrics); Business; Survey data collection; Panel survey; Marketing; Economics; Demographic economics","score_opus":0.02751432106105954,"score_gpt":0.2504415336434798,"score_spread":0.22292721258242026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482455904","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01499267,0.0006206299,0.0010355612,0.0014361708,0.00023154296,0.0005559207,0.96341693,0.000488604,0.017221883],"genre_scores_gemma":[0.044276364,0.0023962518,0.0015510293,0.000829274,0.000543418,0.0016936357,0.8695904,0.0002182296,0.07890144],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99859303,0.00014659786,0.00018785751,0.00019920524,0.00058470387,0.00028853441],"domain_scores_gemma":[0.99172664,0.001213674,0.0013156466,0.0006743624,0.004370702,0.0006989525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016006357,0.0009774235,0.0006383239,0.014977783,0.00044726173,0.0012397073,0.0012099751,0.001054705,0.05078816],"category_scores_gemma":[0.0073720412,0.00039686792,0.00048343578,0.013333432,0.00018662607,0.0010059648,0.0009299195,0.00088846585,0.055688582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059300382,0.00010658454,0.021573069,0.00015992226,0.00001891553,0.000038898783,0.000036463633,0.00023775548,0.000100652134,0.00040613906,0.957336,0.019926209],"study_design_scores_gemma":[0.0001038611,0.0001328225,0.3289367,0.00023470694,0.000060808954,0.0002919438,0.00031798397,0.0010902336,0.0006513333,0.0009472388,0.667181,0.00005131871],"about_ca_topic_score_codex":0.028247524,"about_ca_topic_score_gemma":0.034399014,"teacher_disagreement_score":0.05078816,"about_ca_system_score_codex":0.0009749067,"about_ca_system_score_gemma":0.0021261678,"threshold_uncertainty_score":0.16990334},"labels":[],"label_agreement":null},{"id":"W1482913851","doi":"10.26481/dis.20120420jr","title":"Organizational strategies, firms' performance and spatial spillovers : the Canadian case in research and development","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Performing arts; Context (archaeology); General partnership; Descriptive statistics; Conceptual framework; Marketing; Business; Sociology; Geography; Statistics; Mathematics; Social science; Art; Finance","score_opus":0.08477614534174023,"score_gpt":0.2776652113399663,"score_spread":0.19288906599822608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482913851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70686585,0.0033271664,0.0013481058,0.018223505,0.00005587381,0.00019083044,0.0005317113,0.000030585008,0.26942644],"genre_scores_gemma":[0.98966366,0.0016507516,0.0008665894,0.00033684244,0.000012114184,0.000042654538,0.00008486525,0.0000061893143,0.0073363096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99484235,0.0010057108,0.000103019935,0.0003602985,0.0014245062,0.0022640915],"domain_scores_gemma":[0.9938279,0.0018099034,0.0008136891,0.0004668305,0.0015327556,0.001548884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003288516,0.0005263097,0.000626998,0.0040729376,0.026971046,0.009294575,0.0022934645,0.002472643,0.0041804113],"category_scores_gemma":[0.008752087,0.0003303366,0.00047442265,0.012830584,0.015197603,0.0033559387,0.004590718,0.0017058321,0.00030887473],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00017785258,0.00031880022,0.09662082,0.0002508817,0.000055531782,0.0034789264,0.13835056,0.00562824,0.00091893255,0.67407906,0.01880943,0.061310973],"study_design_scores_gemma":[0.00017611045,0.00017475703,0.24979849,0.0005553235,0.00015572812,0.001028753,0.41807753,0.008973802,0.0007532319,0.059430666,0.26051658,0.00035898908],"about_ca_topic_score_codex":0.9924765,"about_ca_topic_score_gemma":0.9938093,"teacher_disagreement_score":0.8503901,"about_ca_system_score_codex":0.14960995,"about_ca_system_score_gemma":0.098332234,"threshold_uncertainty_score":0.98633194},"labels":[],"label_agreement":null},{"id":"W1483935802","doi":"","title":"Industrial Clustering and the Returns to Inventive Activity Canadian Biotechnology Firms, 1991-2000","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Cluster analysis; Business; Industrial organization; Economic geography; Cluster (spacecraft); Economics; Economic growth","score_opus":0.06620922396184283,"score_gpt":0.27986326047858495,"score_spread":0.21365403651674214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483935802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991747,0.0007322477,0.00013748073,0.00034952175,0.0000052684163,0.000016005355,0.0035658292,0.000023674196,0.0034228433],"genre_scores_gemma":[0.99501836,0.00037056545,0.00005705104,0.000027530388,0.00001255154,0.000004910601,0.0030743857,0.0000032869075,0.001431276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999255,0.00005557173,0.000037737616,0.000109826244,0.00027363357,0.00026817142],"domain_scores_gemma":[0.9898352,0.0016603412,0.0046743434,0.00039053438,0.0019806293,0.001458967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011904537,0.00026807692,0.00037015663,0.0032597943,0.0007902759,0.0017086482,0.0007042808,0.0007182262,0.0023942112],"category_scores_gemma":[0.008422271,0.0002208027,0.0003720887,0.005223517,0.0008509317,0.0005782075,0.00083465513,0.0007126307,0.00045767787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018011956,0.00005956452,0.98461425,0.000025235666,0.00008675377,0.00009158813,0.0002939349,0.0042215283,0.00027896638,0.00068788254,0.0016163662,0.007843925],"study_design_scores_gemma":[0.0000070031697,0.000024286643,0.99774396,0.0000045881416,0.000014661218,0.000025771713,0.00016987398,0.00082057103,0.0000927691,0.00007580907,0.0010150041,0.0000057449924],"about_ca_topic_score_codex":0.75646245,"about_ca_topic_score_gemma":0.7989813,"teacher_disagreement_score":0.24353755,"about_ca_system_score_codex":0.010081741,"about_ca_system_score_gemma":0.0038738025,"threshold_uncertainty_score":0.48994356},"labels":[],"label_agreement":null},{"id":"W1484572577","doi":"","title":"Changing Trade Barriers and Canadian Firms: Survival and Exit After the Canada-U.S. Free Trade Agreement","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tariff; Leverage (statistics); Free trade; International economics; Cournot competition; Free trade agreement; Business; Economics; Trade barrier; Productivity; Trade agreement; Vulnerability (computing); International trade; Liberalization; Microeconomics; Market economy; Economic growth","score_opus":0.02785558427215979,"score_gpt":0.23917927801646882,"score_spread":0.21132369374430904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484572577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938665,0.00028955823,0.00015993378,0.0006959488,0.000005852852,0.000010741661,0.0005270216,0.000007347537,0.0044371667],"genre_scores_gemma":[0.998016,0.0001275418,0.000028435257,0.000041310563,0.000002818209,0.0000015924735,0.00031353554,0.0000019734423,0.0014668741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991165,0.0000428437,0.000014339598,0.000075039454,0.00017722759,0.0005741126],"domain_scores_gemma":[0.99616516,0.0006272981,0.001060665,0.00011535852,0.0008477486,0.0011837092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011509308,0.00022915096,0.00045270193,0.0012764583,0.0029856113,0.0028480564,0.00068021065,0.0010654909,0.0029691125],"category_scores_gemma":[0.0059132134,0.00011898999,0.0005127972,0.0015130558,0.0017006391,0.0008959169,0.0010569849,0.0013348325,0.00019944063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012178874,0.0002080734,0.90220004,0.000056534565,0.000105993735,0.0012522078,0.0057871253,0.024405312,0.0012170271,0.018567082,0.0059488835,0.039033957],"study_design_scores_gemma":[0.00006345839,0.00015428048,0.96441555,0.00005728682,0.00005403713,0.00021088224,0.0059900647,0.015215738,0.0007021502,0.0043486794,0.008692715,0.00009531032],"about_ca_topic_score_codex":0.95048875,"about_ca_topic_score_gemma":0.96386945,"teacher_disagreement_score":0.049511254,"about_ca_system_score_codex":0.021122549,"about_ca_system_score_gemma":0.01372334,"threshold_uncertainty_score":0.15325552},"labels":[],"label_agreement":null},{"id":"W1485032236","doi":"","title":"Les facteurs du modèle de Fama et French : cas du marché des actions canadiennes","year":2009,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.026686567754500536,"score_gpt":0.18479508841479977,"score_spread":0.15810852066029923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485032236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89231807,0.0027813227,0.059603542,0.002951073,0.00017712788,0.0002218425,0.008676665,0.0006152603,0.032655254],"genre_scores_gemma":[0.97704405,0.00056701433,0.012258037,0.00012893682,0.000046243702,0.00020106687,0.0028026996,0.00013613871,0.006815901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966815,0.0013051067,0.00022485228,0.0006775681,0.00072381465,0.00038716246],"domain_scores_gemma":[0.9700483,0.023142582,0.0026120285,0.001633354,0.0020234957,0.0005402286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007452586,0.0009936738,0.0012367395,0.0031521867,0.0012739945,0.0052562454,0.0012265291,0.0011308646,0.014319898],"category_scores_gemma":[0.031691287,0.00051824347,0.0021163358,0.0056626704,0.001505218,0.0025314544,0.0013666253,0.0025183726,0.0010551121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009204804,0.00012515529,0.6510104,0.0006229092,0.0015156931,0.0013701272,0.012893281,0.107519284,0.0014211895,0.10630317,0.01075968,0.10553865],"study_design_scores_gemma":[0.00013812078,0.0004120376,0.6074618,0.00066825794,0.0009666171,0.0007276493,0.016020276,0.22981963,0.0021609908,0.04925621,0.092021585,0.00034690194],"about_ca_topic_score_codex":0.32576007,"about_ca_topic_score_gemma":0.20104504,"teacher_disagreement_score":0.67423993,"about_ca_system_score_codex":0.0053664744,"about_ca_system_score_gemma":0.0031841965,"threshold_uncertainty_score":0.64772785},"labels":[],"label_agreement":null},{"id":"W1487101913","doi":"","title":"Volatilite de l'emploi au niveau regional dans le secteur canadien de la fabrication : les effets de la specialisation et du commerce","year":2003,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.021076591620556227,"score_gpt":0.23111149743735412,"score_spread":0.2100349058167979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487101913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960867,0.00083992485,0.00027194183,0.00021573018,0.0000026833488,0.0000036736226,0.0009366255,0.000014145292,0.0016286018],"genre_scores_gemma":[0.99334186,0.0006583567,0.0001742051,0.000024350546,0.0000058770615,0.0000045315123,0.00071815966,0.00000549916,0.0050670933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967,0.000056434452,0.000016233478,0.000078613215,0.00007193659,0.000106780986],"domain_scores_gemma":[0.9961361,0.001796779,0.0009792792,0.00017516808,0.00045440215,0.00045812046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071699766,0.0001750475,0.00030401387,0.0008818283,0.0003175085,0.0010557551,0.00042465643,0.00039618087,0.004149078],"category_scores_gemma":[0.0022753228,0.00013527574,0.0005596309,0.0016094622,0.00036048176,0.0003983167,0.0004903729,0.0005796026,0.0003690689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016141708,0.00002641044,0.9793076,0.000026699621,0.00014989497,0.00017501717,0.0008906038,0.003437309,0.00085942604,0.0009688881,0.00041943978,0.013577309],"study_design_scores_gemma":[0.0000023125908,0.000026949234,0.9964599,0.000009752587,0.00004866612,0.00005207681,0.0006421628,0.0010836999,0.0004222772,0.000101970094,0.0011440244,0.0000062263057],"about_ca_topic_score_codex":0.3917624,"about_ca_topic_score_gemma":0.49082214,"teacher_disagreement_score":0.6082376,"about_ca_system_score_codex":0.0020831185,"about_ca_system_score_gemma":0.0010688112,"threshold_uncertainty_score":0.77896416},"labels":[],"label_agreement":null},{"id":"W1487458911","doi":"10.2139/ssrn.2448518","title":"IT Patents and Firm Value in the IT Industry: The Role of Innovation Orientation and Environmental Uncertainty","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Value (mathematics); Business; Industrial organization; Orientation (vector space); Enterprise value; Accounting; Mathematics; Statistics; Geometry","score_opus":0.012437855072900322,"score_gpt":0.2055063936712292,"score_spread":0.19306853859832887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487458911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909141,0.00097093964,0.00091887504,0.0010467969,0.000008617451,0.0000045659917,0.00005427617,0.0000056519643,0.0060762204],"genre_scores_gemma":[0.9994393,0.00017678378,0.000037178652,0.000019487252,0.000015796391,8.3358816e-7,0.000015651416,0.0000015146591,0.00029345747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936146,0.00023424653,0.000034423883,0.00006640517,0.00011147808,0.00019195011],"domain_scores_gemma":[0.9560892,0.033908725,0.00602846,0.0006638041,0.0011220984,0.0021876905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00193454,0.00021151941,0.00036523954,0.0012039904,0.000482286,0.0032828036,0.00041053965,0.0015069908,0.0036768997],"category_scores_gemma":[0.013954688,0.0001553939,0.00046631682,0.0016948559,0.002163348,0.0036726207,0.0013649826,0.0014790454,0.00025803642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008084331,0.0006558908,0.8652383,0.00008483054,0.00024756283,0.000821783,0.0009542063,0.031098953,0.0016181812,0.06982391,0.0009422848,0.02770558],"study_design_scores_gemma":[0.00009594635,0.00038635338,0.77294797,0.00010911419,0.00029945356,0.0003933605,0.0029684762,0.053934064,0.0015999249,0.16463067,0.0025416596,0.00009302463],"about_ca_topic_score_codex":0.0056432677,"about_ca_topic_score_gemma":0.0064858506,"teacher_disagreement_score":0.0056432677,"about_ca_system_score_codex":0.0014437985,"about_ca_system_score_gemma":0.0008024303,"threshold_uncertainty_score":0.012300432},"labels":[],"label_agreement":null},{"id":"W1487790930","doi":"","title":"Productivity in Canada: Does Firm Size Matter?","year":2008,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Economic geography; Demographic economics; Macroeconomics","score_opus":0.01891412254876247,"score_gpt":0.1829295212313353,"score_spread":0.1640153986825728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487790930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41869208,0.40989584,0.00128806,0.06106179,0.0008665825,0.00009111975,0.0107457815,0.00013667454,0.09722217],"genre_scores_gemma":[0.8975077,0.090697914,0.0003015665,0.0016859841,0.00028353173,0.000010242094,0.0021410284,0.00002109521,0.007350948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980673,0.00012273659,0.000082537365,0.0002069126,0.0010292608,0.0004912419],"domain_scores_gemma":[0.98675275,0.0024077217,0.0019216508,0.00019560689,0.0071868612,0.0015354364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021133581,0.00029917533,0.0007358796,0.003954271,0.0018490156,0.0038321288,0.0011975077,0.0006885254,0.0038903719],"category_scores_gemma":[0.011483224,0.00017938048,0.0006712593,0.010487216,0.0013158652,0.0008708843,0.0005560104,0.0009325631,0.00037626468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042801906,0.00007270486,0.6842404,0.0021250604,0.00092727697,0.0010327213,0.0018409133,0.0025462,0.00065059814,0.020198064,0.066836454,0.21910161],"study_design_scores_gemma":[0.000040469513,0.000048608912,0.9300513,0.0008839788,0.00054225686,0.00024277421,0.0020820042,0.0009894765,0.000431144,0.0021948947,0.062435176,0.000057792924],"about_ca_topic_score_codex":0.9877582,"about_ca_topic_score_gemma":0.99035877,"teacher_disagreement_score":0.9552045,"about_ca_system_score_codex":0.044795543,"about_ca_system_score_gemma":0.061234664,"threshold_uncertainty_score":0.32501596},"labels":[],"label_agreement":null},{"id":"W1488246378","doi":"","title":"Long-term Productivity Growth in Manufacturing in Canada and the United States, 1961 to 2003","year":2007,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Multifactor productivity; Economics; Capital deepening; Capital (architecture); Labour economics; Investment (military); Annual growth %; Manufacturing sector; Manufacturing; Demographic economics; Human capital; Total factor productivity; Agricultural economics; Business; Capital formation; Economic growth; Geography; Political science; Financial capital","score_opus":0.016257050426615856,"score_gpt":0.1986422942214838,"score_spread":0.18238524379486795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488246378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8983954,0.01042362,0.00070104114,0.0024866136,0.00014101698,0.000039869694,0.05766688,0.00016850374,0.029976984],"genre_scores_gemma":[0.9642861,0.004434497,0.00060196075,0.00013965386,0.00003588243,0.000016357493,0.022556338,0.000018916378,0.007910278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991443,0.000015281656,0.000034207405,0.000074826865,0.0004372247,0.0002941233],"domain_scores_gemma":[0.996709,0.00010746766,0.0003871857,0.000047597066,0.0023361377,0.00041257348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053213496,0.00042600028,0.00033245527,0.0044023925,0.0016413,0.0020228347,0.0006494323,0.00031493508,0.0014996163],"category_scores_gemma":[0.002637711,0.00014222502,0.0005262643,0.012102312,0.0004286808,0.00069098454,0.00072229275,0.0007982449,0.00035603243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029861816,0.0000719184,0.8968352,0.00027024592,0.00023371601,0.0005460856,0.002311495,0.005867865,0.00067276263,0.004075384,0.020048337,0.06876838],"study_design_scores_gemma":[0.0000041045714,0.000011790703,0.981546,0.000060777933,0.000029093515,0.00006719009,0.0008349969,0.00094220217,0.00036897924,0.00011078818,0.016003069,0.000021104224],"about_ca_topic_score_codex":0.9931578,"about_ca_topic_score_gemma":0.9948966,"teacher_disagreement_score":0.048581425,"about_ca_system_score_codex":0.048581425,"about_ca_system_score_gemma":0.029822296,"threshold_uncertainty_score":0.35248452},"labels":[],"label_agreement":null},{"id":"W1488769922","doi":"10.3386/w20036","title":"Information Technology and the Distribution of Inventive Activity","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distribution (mathematics); Computer science; Mathematics","score_opus":0.16864978850192086,"score_gpt":0.4041723180752265,"score_spread":0.23552252957330566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488769922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852642,0.0013753655,0.0019189587,0.0004942638,0.000006694391,0.000010948578,0.0005222181,0.000021546211,0.010385854],"genre_scores_gemma":[0.99841475,0.00039482734,0.00020705334,0.000012632431,0.000015766012,0.0000064506357,0.00017548709,0.0000034347925,0.0007696274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999468,0.0001553318,0.000040802868,0.00011884628,0.00010414291,0.0001128724],"domain_scores_gemma":[0.97740096,0.013790997,0.005984129,0.00085377705,0.0010660612,0.00090413284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010571475,0.00012080919,0.0002718652,0.004021355,0.000362476,0.0017026286,0.00042951363,0.0005499046,0.0053843944],"category_scores_gemma":[0.0131165795,0.00013103541,0.000258914,0.005068143,0.0009957938,0.0017651629,0.000698703,0.00048737327,0.0007365794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024149002,0.00019515245,0.9152276,0.00011267586,0.0002099929,0.00033706875,0.0014348043,0.009265582,0.0023235541,0.0342994,0.0011963671,0.035156317],"study_design_scores_gemma":[0.000040957668,0.00014555805,0.9525125,0.000060585447,0.000059375387,0.00057058595,0.0013293946,0.013510825,0.0013745844,0.02449376,0.0058687394,0.000033151075],"about_ca_topic_score_codex":0.003202902,"about_ca_topic_score_gemma":0.0026922033,"teacher_disagreement_score":0.0053843944,"about_ca_system_score_codex":0.00089433015,"about_ca_system_score_gemma":0.00025176103,"threshold_uncertainty_score":0.018012583},"labels":[],"label_agreement":null},{"id":"W1489025392","doi":"10.1002/cjas.1303","title":"The link between product diversification and performance among Spanish manufacturing firms: Analyzing the role of firm size","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unobservable; Diversification (marketing strategy); Endogeneity; Sample (material); Panel data; Industrial organization; Product (mathematics); Economics; Business; Econometrics; Marketing; Mathematics","score_opus":0.0972749613060963,"score_gpt":0.26431174832696025,"score_spread":0.16703678702086394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489025392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885654,0.00023526566,0.00009738726,0.000057073077,0.0000016020651,0.0000026604812,0.00009572985,0.0000015499104,0.00065233203],"genre_scores_gemma":[0.9996606,0.0000410871,0.000025309142,0.0000064356227,0.00000437363,0.0000011287552,0.00013232276,5.9791756e-7,0.00012804705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937963,0.0001926786,0.000038197126,0.00013452557,0.000093400944,0.00016153912],"domain_scores_gemma":[0.9858743,0.0056877104,0.005232399,0.000661137,0.0011099825,0.0014345389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298029,0.00020426507,0.00032433812,0.0012198165,0.00018891397,0.0010497716,0.00030584628,0.00040780942,0.0018035698],"category_scores_gemma":[0.006378875,0.000083977306,0.00038299084,0.0013572184,0.0004605541,0.0004924977,0.0007969827,0.0003668654,0.00025850403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065429755,0.00002908161,0.9962368,0.0000072722746,0.00004922289,0.000066178356,0.00010805592,0.00068293867,0.00020283126,0.000104643135,0.00009185432,0.0023556903],"study_design_scores_gemma":[0.0000034422924,0.00004929909,0.99868256,0.0000060997972,0.000013785884,0.000023478147,0.0002817527,0.00057746546,0.000065814325,0.00009715537,0.00019632794,0.000002780665],"about_ca_topic_score_codex":0.010230113,"about_ca_topic_score_gemma":0.00850611,"teacher_disagreement_score":0.010230113,"about_ca_system_score_codex":0.0005857671,"about_ca_system_score_gemma":0.00043435197,"threshold_uncertainty_score":0.020341158},"labels":[],"label_agreement":null},{"id":"W1490095249","doi":"10.2139/ssrn.2141863","title":"Firm Dynamics: Variation in Profitability Across Canadian Firms of Different Sizes, 2000 to 2009","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Profitability index; Variation (astronomy); Business; Econometrics; Economics; Financial economics; Economic geography; Finance","score_opus":0.011251892840440128,"score_gpt":0.22435308670511916,"score_spread":0.21310119386467904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490095249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93919617,0.0020538603,0.0002298051,0.0014097313,0.000034867997,0.00002943874,0.049594257,0.00010128397,0.0073506325],"genre_scores_gemma":[0.9821671,0.00072386063,0.00017691082,0.000104971936,0.000014608036,0.000009014756,0.011991225,0.000012326601,0.0047999453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916625,0.000021668904,0.00004310728,0.00012655191,0.00031245046,0.00032996622],"domain_scores_gemma":[0.9948519,0.00023591353,0.0011830635,0.00011316059,0.002624855,0.0009911153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007432335,0.0003648465,0.00030157858,0.004001253,0.001454788,0.0019823404,0.0014881557,0.000724417,0.003488715],"category_scores_gemma":[0.0036913233,0.00023071824,0.0006609386,0.0091585815,0.0006567764,0.0009335259,0.00085391756,0.00072108436,0.00059600204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021801372,0.000050237642,0.970488,0.000074105505,0.00011845607,0.00014474244,0.0013187455,0.00078842,0.00033637648,0.0008818579,0.013404846,0.012176197],"study_design_scores_gemma":[0.0000020436275,0.000006888599,0.99662423,0.000010010892,0.000011012255,0.00002182303,0.00052610715,0.00027213374,0.000052391733,0.000016298682,0.0024478424,0.000009229223],"about_ca_topic_score_codex":0.9948902,"about_ca_topic_score_gemma":0.9974819,"teacher_disagreement_score":0.03192381,"about_ca_system_score_codex":0.03192381,"about_ca_system_score_gemma":0.027614487,"threshold_uncertainty_score":0.23162454},"labels":[],"label_agreement":null},{"id":"W1490201608","doi":"10.7202/028910ar","title":"Wages and Establishment Size","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Demographic economics; Econometrics; Labour economics","score_opus":0.027424932760143936,"score_gpt":0.2118745323712449,"score_spread":0.18444959961110097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490201608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92104924,0.001895009,0.00294062,0.0025452708,0.000103976505,0.000018534303,0.00060781004,0.000040016424,0.07079946],"genre_scores_gemma":[0.98909867,0.00036552403,0.00034597862,0.00006595292,0.00007717041,0.0000054385423,0.00021130832,0.000007516312,0.009822623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951756,0.00012885849,0.000029597793,0.000077082186,0.00013643905,0.00011057467],"domain_scores_gemma":[0.9841166,0.00864827,0.0038714893,0.00059508026,0.0010207524,0.0017477475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089716195,0.00011616588,0.00014215926,0.00082219875,0.00042307214,0.00085981574,0.0003555413,0.0003118475,0.011943765],"category_scores_gemma":[0.009396792,0.00010025712,0.00019077514,0.0010841767,0.0005984043,0.0008106723,0.00072363834,0.0006002442,0.0010516278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023132526,0.0002455543,0.8808492,0.0000991503,0.000058229,0.00036248186,0.0014637702,0.0025100412,0.0018059383,0.041944798,0.0051852316,0.065244175],"study_design_scores_gemma":[0.000011543064,0.000120664066,0.9789604,0.000030908843,0.0000165229,0.00020175002,0.0013488783,0.0010528519,0.0003565604,0.010302718,0.007584116,0.000013149168],"about_ca_topic_score_codex":0.004898774,"about_ca_topic_score_gemma":0.014415115,"teacher_disagreement_score":0.011943765,"about_ca_system_score_codex":0.0005902456,"about_ca_system_score_gemma":0.00040313113,"threshold_uncertainty_score":0.039955854},"labels":[],"label_agreement":null},{"id":"W1490233784","doi":"","title":"Les revisions aux estimations annuelles de la productivite du travail du secteur des entreprises au Canada et aux Etats-Unis, 2003 a 2006","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04012406991577302,"score_gpt":0.30816503913195414,"score_spread":0.26804096921618115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490233784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83343166,0.009406394,0.047830757,0.003291762,0.00058826787,0.00016429224,0.08470256,0.0013853365,0.019198984],"genre_scores_gemma":[0.8866963,0.004662687,0.03130208,0.00041893168,0.00019929174,0.0001674879,0.058248844,0.00045134444,0.017853191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9893406,0.0023875881,0.0009420081,0.0012614342,0.005415449,0.0006529354],"domain_scores_gemma":[0.9033976,0.03601705,0.008600653,0.005174429,0.045255445,0.0015548104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014621913,0.0009851425,0.00069587375,0.0052777077,0.0008933877,0.004149736,0.0012997834,0.0007291183,0.0029320286],"category_scores_gemma":[0.06600679,0.0006484394,0.0013233274,0.0071879565,0.00070186297,0.0012641654,0.0010450841,0.0019006017,0.0010818373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051075866,0.000077647936,0.75603694,0.00035536868,0.0008070613,0.00023996893,0.002941817,0.045767557,0.0018840507,0.005917907,0.021531124,0.16392982],"study_design_scores_gemma":[0.000041232026,0.00010057269,0.86027926,0.00045998415,0.00037455664,0.00019933343,0.0020320776,0.044984568,0.00857029,0.00212935,0.08066223,0.00016642261],"about_ca_topic_score_codex":0.81257606,"about_ca_topic_score_gemma":0.7629718,"teacher_disagreement_score":0.18742394,"about_ca_system_score_codex":0.010240441,"about_ca_system_score_gemma":0.01714037,"threshold_uncertainty_score":0.3770554},"labels":[],"label_agreement":null},{"id":"W1490585953","doi":"","title":"Innovation, survie et rendement des etablissements canadiens de fabrication","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.07075428381568884,"score_gpt":0.3184187676888064,"score_spread":0.24766448387311757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490585953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96875036,0.0017065953,0.020195905,0.0004521555,0.000033053777,0.000034866924,0.00047232205,0.00008939536,0.00826548],"genre_scores_gemma":[0.9778246,0.0010941232,0.0039230655,0.000039467763,0.000018489367,0.000058993504,0.00036884198,0.000023548448,0.016648686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99933666,0.00014450598,0.000020172438,0.00014939795,0.00018101963,0.00016818872],"domain_scores_gemma":[0.99529123,0.003012012,0.00086501415,0.00026421234,0.0003217162,0.00024577114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763464,0.0006347833,0.0007134696,0.0014952545,0.00075491046,0.0022151088,0.00073774625,0.0012418139,0.007714474],"category_scores_gemma":[0.005960289,0.0002538382,0.0013174898,0.0012947065,0.00083394407,0.0014028497,0.0007709537,0.0009333649,0.0010460553],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012396853,0.00048510308,0.26344812,0.00033037932,0.00036521908,0.0015894301,0.003615711,0.4051096,0.03495965,0.06611422,0.0018386669,0.22090422],"study_design_scores_gemma":[0.00012675619,0.001954201,0.48522064,0.00018607838,0.0005887536,0.0023127075,0.0028397848,0.32849568,0.041736737,0.09288898,0.04328033,0.00036940802],"about_ca_topic_score_codex":0.012486888,"about_ca_topic_score_gemma":0.010235175,"teacher_disagreement_score":0.9875131,"about_ca_system_score_codex":0.0021326656,"about_ca_system_score_gemma":0.0007772053,"threshold_uncertainty_score":0.0258075},"labels":[],"label_agreement":null},{"id":"W1491470503","doi":"","title":"Productivity Growth in Service Industries: A Canadian Success Story","year":2004,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Productivity; Multifactor productivity; Human capital; Labour economics; Economics; Capital intensity; Service (business); Total factor productivity; Demographic economics; Sectoral analysis; Economic growth; Economy; Macroeconomics","score_opus":0.1192250162995873,"score_gpt":0.30925553092836133,"score_spread":0.19003051462877402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491470503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4575787,0.033394285,0.0010881658,0.17351554,0.0008228446,0.00011234496,0.010332217,0.00037000809,0.3227859],"genre_scores_gemma":[0.9569541,0.022058012,0.0005822806,0.0018155647,0.0002116652,0.000025066502,0.002066046,0.00009112528,0.016196158],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9944812,0.00018525141,0.00014706365,0.00025287175,0.0032486708,0.0016848997],"domain_scores_gemma":[0.9816638,0.0009666338,0.0011247238,0.0003805677,0.012302796,0.0035614655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003463695,0.0006883771,0.0005546794,0.0059214397,0.0054051746,0.006244365,0.0011698145,0.0009852495,0.0050675925],"category_scores_gemma":[0.011656752,0.00026214533,0.0005905401,0.017019492,0.0026446483,0.0019884517,0.0024122072,0.0025052107,0.00068690034],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052278757,0.00022717727,0.2606381,0.0010079321,0.00019620807,0.0017950432,0.013309222,0.0035152182,0.001362948,0.18034032,0.18220767,0.3548774],"study_design_scores_gemma":[0.000050878643,0.0001186283,0.6174957,0.00057846174,0.00010694957,0.00046376852,0.010328248,0.002171492,0.0013063209,0.0055662366,0.36166957,0.00014373068],"about_ca_topic_score_codex":0.99073726,"about_ca_topic_score_gemma":0.9909101,"teacher_disagreement_score":0.91109896,"about_ca_system_score_codex":0.08890107,"about_ca_system_score_gemma":0.11177907,"threshold_uncertainty_score":0.6450255},"labels":[],"label_agreement":null},{"id":"W1491585551","doi":"","title":"The Firm Size Distribution and Productivity Growth","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Distribution (mathematics); Economics; Market size; Econometrics; Demographic economics; Economic geography; Labour economics; Monetary economics; International economics; Macroeconomics","score_opus":0.029976524007408613,"score_gpt":0.26744839999423514,"score_spread":0.23747187598682654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491585551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531489,0.0020512675,0.0043249293,0.0018900813,0.000017740893,0.000023029734,0.0043683713,0.0000882373,0.03408745],"genre_scores_gemma":[0.99685574,0.00043731288,0.00019216433,0.000023409715,0.000009968475,0.0000037460006,0.00090044265,0.0000043035357,0.0015728895],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999648,0.000037649235,0.000011542599,0.00006921387,0.00010124591,0.00013234987],"domain_scores_gemma":[0.9969614,0.00096219545,0.0011186951,0.00016222314,0.00048805005,0.00030731125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057882944,0.00015400774,0.00015179532,0.0016214147,0.00032533996,0.0012684091,0.00031158837,0.0003113063,0.0031291142],"category_scores_gemma":[0.004569576,0.0000989489,0.00020662944,0.0021362945,0.00067545683,0.0006228701,0.000375983,0.00044066802,0.00039989816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015910782,0.00007203095,0.81944126,0.000075207754,0.000114647635,0.0006142527,0.00068630336,0.04699551,0.0016221305,0.05816936,0.010367824,0.061682377],"study_design_scores_gemma":[0.000018963114,0.00003050795,0.94722867,0.000039962935,0.000026044834,0.00023327222,0.0005827133,0.025331872,0.0007707243,0.014625478,0.011082671,0.000029172894],"about_ca_topic_score_codex":0.24010845,"about_ca_topic_score_gemma":0.18629496,"teacher_disagreement_score":0.24010845,"about_ca_system_score_codex":0.0039016274,"about_ca_system_score_gemma":0.001507114,"threshold_uncertainty_score":0.4774217},"labels":[],"label_agreement":null},{"id":"W1492696532","doi":"","title":"Productivity Trends of Unincorporated Enterprises in the Canadian Economy, 1987 to 2005","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Business sector; Business; Order (exchange); Real gross domestic product; Economics; Economy; Labour economics; Finance; Monetary economics; Economic growth","score_opus":0.012935672535347912,"score_gpt":0.21237257041693214,"score_spread":0.19943689788158422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492696532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91844636,0.004082785,0.00039444226,0.0012633546,0.000067799134,0.000042956486,0.050257757,0.000120936274,0.02532352],"genre_scores_gemma":[0.9442647,0.0051061776,0.000741553,0.00019516138,0.000026519843,0.000025244066,0.029862609,0.000026859589,0.019751009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989837,0.00002285936,0.000052933305,0.00008734504,0.00042087983,0.00043235614],"domain_scores_gemma":[0.99601954,0.00009792374,0.00040574753,0.00007758057,0.002977823,0.0004213506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930069,0.00053864415,0.0003562151,0.005576672,0.0016017717,0.0018694825,0.0009371565,0.00024183754,0.0026238058],"category_scores_gemma":[0.0030039714,0.00021816259,0.0004673109,0.009579298,0.0004934874,0.00074785977,0.0008749165,0.0006199622,0.00058101164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023192618,0.000092393246,0.90314794,0.00030146926,0.00013680905,0.00031517513,0.0031601514,0.0025302859,0.000748482,0.0037323837,0.020366462,0.06523648],"study_design_scores_gemma":[0.0000032200005,0.000015701478,0.9769372,0.000042191685,0.000016875892,0.00004996963,0.0010632601,0.0006298725,0.00041555573,0.000050773433,0.020761224,0.000014147858],"about_ca_topic_score_codex":0.994712,"about_ca_topic_score_gemma":0.9977101,"teacher_disagreement_score":0.051893894,"about_ca_system_score_codex":0.051893894,"about_ca_system_score_gemma":0.0453078,"threshold_uncertainty_score":0.3765183},"labels":[],"label_agreement":null},{"id":"W1494897932","doi":"","title":"Capacités d'innovation: utilisation de technologies, croissance de la productivité et rendement des entreprises: résultats des enquêtes canadiennes sur la technologie","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Forestry; Geography; Art","score_opus":0.06419154386326675,"score_gpt":0.3130111538541175,"score_spread":0.24881960999085073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494897932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95408565,0.018069182,0.004687064,0.0006764737,0.000042025684,0.00016104376,0.0020064262,0.00006720785,0.020204922],"genre_scores_gemma":[0.9784823,0.005141363,0.002568786,0.000088432804,0.00004703099,0.0002029294,0.0010258566,0.000061054816,0.012382245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98779756,0.0041473415,0.0007728333,0.001672526,0.0047653015,0.000844437],"domain_scores_gemma":[0.804012,0.15522319,0.015142059,0.0067681987,0.016397556,0.0024568974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016466893,0.000921954,0.0019112462,0.009093223,0.0014483635,0.0056507704,0.0013202167,0.0023329663,0.00999552],"category_scores_gemma":[0.06588615,0.0005956267,0.0030562556,0.019067015,0.0021919215,0.0036321708,0.00389572,0.0015785168,0.0017569589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011047326,0.00050110323,0.8420317,0.002237551,0.0019266264,0.00031832187,0.015675742,0.010970919,0.0015821909,0.006299468,0.0014059593,0.115945615],"study_design_scores_gemma":[0.000034013527,0.00077684066,0.95793885,0.00043649515,0.0010977936,0.00028835,0.009298528,0.0043870118,0.003004905,0.004541157,0.01804253,0.00015358221],"about_ca_topic_score_codex":0.07005775,"about_ca_topic_score_gemma":0.06338903,"teacher_disagreement_score":0.92994225,"about_ca_system_score_codex":0.005927281,"about_ca_system_score_gemma":0.0045755906,"threshold_uncertainty_score":0.13929993},"labels":[],"label_agreement":null},{"id":"W1496211297","doi":"","title":"Les disparitions du monde industriel: fermetures d'usines et retrait de capitaux","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.06898454483232332,"score_gpt":0.3144656217989425,"score_spread":0.2454810769666192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496211297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799983,0.0012345377,0.00045300694,0.00042856595,0.000019648602,0.000009664931,0.00013641252,0.000017134758,0.017702844],"genre_scores_gemma":[0.9886855,0.00055523834,0.00031883607,0.000057490925,0.000010554588,0.000013574505,0.00008374316,0.000012736413,0.010262241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990175,0.00022764334,0.00004915204,0.00018798899,0.00027487558,0.0002428683],"domain_scores_gemma":[0.99675936,0.0007612699,0.0012294331,0.00019129536,0.0006834035,0.00037530204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011011652,0.00028156122,0.00024750954,0.0012829272,0.002500838,0.0021377841,0.000557908,0.0006198395,0.008698621],"category_scores_gemma":[0.0048681423,0.00022152261,0.00028619354,0.0022850425,0.002530046,0.001339935,0.0017273213,0.00059824355,0.0007611782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043147083,0.00006671044,0.7880746,0.00042538857,0.00008193787,0.0016255068,0.09863199,0.001141929,0.008045695,0.012410289,0.0018548581,0.08720957],"study_design_scores_gemma":[0.0000054397956,0.000121424324,0.8869357,0.00016536545,0.000024965255,0.00068687793,0.048840836,0.00030432097,0.0019206974,0.0014301179,0.059520394,0.00004385632],"about_ca_topic_score_codex":0.057194304,"about_ca_topic_score_gemma":0.10238952,"teacher_disagreement_score":0.057194304,"about_ca_system_score_codex":0.0032527153,"about_ca_system_score_gemma":0.0016900218,"threshold_uncertainty_score":0.11372274},"labels":[],"label_agreement":null},{"id":"W1496584081","doi":"10.2139/ssrn.1016961","title":"Real Wage Chronologies","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wage; Wage growth; Economics; Productivity; Efficiency wage; Real wages; Wage bargaining; Labour economics; Macroeconomics","score_opus":0.017672856237198716,"score_gpt":0.22826892082300043,"score_spread":0.2105960645858017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496584081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47059044,0.0030295898,0.10360738,0.0023909947,0.00054043415,0.0017765112,0.19516775,0.0018630812,0.22103384],"genre_scores_gemma":[0.82426625,0.0014178943,0.055893894,0.00022578893,0.000086955464,0.0008185574,0.07044515,0.00037065594,0.046474803],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973163,0.00023892082,0.00016573476,0.00048728462,0.0015146811,0.00027711547],"domain_scores_gemma":[0.99261296,0.001186147,0.001157964,0.0012901298,0.0034067645,0.0003459603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030446374,0.000349207,0.0002562228,0.008396978,0.0015927076,0.002365659,0.0013479501,0.0005427796,0.014913654],"category_scores_gemma":[0.017059432,0.00031350585,0.00044293192,0.010174718,0.00090952683,0.0012696082,0.00074562704,0.0009777001,0.0022672564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003056929,0.00013009764,0.16866069,0.0005830255,0.00014135562,0.00035838748,0.00797655,0.037220236,0.0023720576,0.30753323,0.07869464,0.39602396],"study_design_scores_gemma":[0.00005575947,0.00012781203,0.46660376,0.0003600895,0.000044988956,0.0004037202,0.0033064808,0.029818915,0.0020220932,0.053516112,0.44347045,0.0002698784],"about_ca_topic_score_codex":0.41225746,"about_ca_topic_score_gemma":0.43720487,"teacher_disagreement_score":0.41225746,"about_ca_system_score_codex":0.0071300347,"about_ca_system_score_gemma":0.0067736506,"threshold_uncertainty_score":0.81971574},"labels":[],"label_agreement":null},{"id":"W1497655174","doi":"10.3386/w17181","title":"Business Partners, Financing, and the Commercialization of Inventions","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondation HEC; University of Toronto","keywords":"Commercialization; Business; Finance; Commerce; Marketing","score_opus":0.5958768832991501,"score_gpt":0.4992642396665594,"score_spread":0.0966126436325907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497655174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9504864,0.0019762716,0.0022539715,0.0008522359,0.000015059557,0.000071579845,0.00029405195,0.00003265359,0.04401775],"genre_scores_gemma":[0.9964012,0.0006868164,0.00024208147,0.000022231692,0.000015064682,0.00001789692,0.00013962727,0.0000039989827,0.0024710153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982101,0.00074317004,0.00009535964,0.00015458571,0.0004322556,0.00036455833],"domain_scores_gemma":[0.9656663,0.01879349,0.0102899475,0.0008662967,0.0013175216,0.0030665356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032574695,0.00019762942,0.0003343041,0.0017530082,0.00077557535,0.0029905534,0.0003239679,0.0006617848,0.00879877],"category_scores_gemma":[0.027047256,0.00015251669,0.00025038817,0.0018377107,0.001100439,0.002040742,0.0018292649,0.0007866631,0.0005579942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031392774,0.00051734596,0.8526629,0.00010644652,0.00011361027,0.0007812711,0.0008052239,0.0049152053,0.0006055746,0.036836956,0.002357977,0.099983506],"study_design_scores_gemma":[0.00027950306,0.00082607986,0.8790419,0.00033042926,0.00023461127,0.0025879901,0.003398013,0.012640306,0.0033266426,0.06228601,0.034977116,0.000071408766],"about_ca_topic_score_codex":0.0019816933,"about_ca_topic_score_gemma":0.0028724736,"teacher_disagreement_score":0.00879877,"about_ca_system_score_codex":0.0009017835,"about_ca_system_score_gemma":0.0010844304,"threshold_uncertainty_score":0.02943486},"labels":[],"label_agreement":null},{"id":"W1502171503","doi":"10.2139/ssrn.940477","title":"Determinants of Survival of De Novo Entrants in Clusters and Dispersal","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biological dispersal; Biology; Ecology; Geography; Demography; Sociology; Population","score_opus":0.00981818043320462,"score_gpt":0.2132219260176707,"score_spread":0.20340374558446608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502171503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850637,0.00016824492,0.0003098813,0.00022215747,0.000005279619,0.0000072164667,0.00010934217,0.000007804811,0.0006637738],"genre_scores_gemma":[0.9991228,0.000056429544,0.000039575818,0.000011123903,0.0000071353934,0.0000018389666,0.00007135928,0.0000013623124,0.0006884554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953103,0.00008250272,0.000042115884,0.00009732271,0.00004070757,0.00020634837],"domain_scores_gemma":[0.98132336,0.0065866713,0.0057125557,0.000810579,0.0014503936,0.0041165226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014307568,0.00015326485,0.0004174236,0.0010061642,0.000739345,0.0018998574,0.00063143537,0.0010300988,0.009164992],"category_scores_gemma":[0.01035646,0.00020143701,0.0004514068,0.00092670176,0.0008889481,0.0014074671,0.001291679,0.0011018462,0.0007050974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035911493,0.00011793721,0.98016137,0.000030603966,0.00012405343,0.00048335578,0.0006399688,0.0053423275,0.0010300571,0.0031857144,0.0006527379,0.007872816],"study_design_scores_gemma":[0.000043396594,0.00020400992,0.9849015,0.000030973653,0.000090898866,0.0004319257,0.0035205025,0.0057360646,0.00045476793,0.0036324526,0.00092556945,0.000027961903],"about_ca_topic_score_codex":0.010550618,"about_ca_topic_score_gemma":0.015384767,"teacher_disagreement_score":0.010550618,"about_ca_system_score_codex":0.0007379315,"about_ca_system_score_gemma":0.0005801932,"threshold_uncertainty_score":0.030659914},"labels":[],"label_agreement":null},{"id":"W1502567068","doi":"10.2139/ssrn.1370537","title":"Firm Turnover and Productivity Growth in the Canadian Retail Trade Sector","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Retail trade; Productivity; Business; Inventory turnover; Turnover; Labour economics; Industrial organization; Economics; Commerce; Finance; Management; Economic growth","score_opus":0.01827629693301542,"score_gpt":0.19462151861457297,"score_spread":0.17634522168155756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502567068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320143,0.001078282,0.00010842085,0.00095473474,0.00001591544,0.000009276137,0.0016427581,0.000018813626,0.0029703986],"genre_scores_gemma":[0.9971208,0.00041108386,0.000036843045,0.000041171766,0.000014179585,0.0000025381655,0.0007319554,0.000004440868,0.0016370706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990268,0.000075557764,0.00004044478,0.000108013934,0.00029651317,0.0004526142],"domain_scores_gemma":[0.9877291,0.0030089316,0.0024701324,0.0003370856,0.004216263,0.0022386087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017593857,0.00030436422,0.00047775434,0.003772285,0.001870051,0.0032084254,0.0014876343,0.0014058977,0.004513373],"category_scores_gemma":[0.0117627345,0.00026978663,0.000630649,0.0061697345,0.0011562471,0.0012136272,0.00084315555,0.0014634995,0.0006081397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034508712,0.00010306097,0.974433,0.00004288733,0.00007749897,0.0002466024,0.0014281471,0.0039269943,0.00031374244,0.001954317,0.0037428874,0.013385943],"study_design_scores_gemma":[0.000010217948,0.00001496852,0.9916152,0.000025914886,0.000031238458,0.000034730703,0.0015567509,0.00518861,0.00010064155,0.00027592923,0.0011265493,0.00001942761],"about_ca_topic_score_codex":0.98874086,"about_ca_topic_score_gemma":0.9921483,"teacher_disagreement_score":0.9602601,"about_ca_system_score_codex":0.039739918,"about_ca_system_score_gemma":0.022999246,"threshold_uncertainty_score":0.28833467},"labels":[],"label_agreement":null},{"id":"W1504264755","doi":"10.1787/515653287372","title":"The Importance of Entry to Canadian Manufacuring, with an Appendix on Measurement Issues","year":2002,"lang":"en","type":"paratext","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Appendix; Computer science; Biology; Paleontology","score_opus":0.03953705433018721,"score_gpt":0.2383724923871453,"score_spread":0.19883543805695808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504264755","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029433401,0.024859728,0.014771602,0.026390793,0.0056012934,0.0026275981,0.2833101,0.0006531439,0.6123524],"genre_scores_gemma":[0.2155677,0.035026032,0.059155688,0.005160633,0.0015926602,0.0031152498,0.16211776,0.0004991904,0.51776505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99689025,0.00029626957,0.00029846287,0.00025714704,0.0019273453,0.00033066643],"domain_scores_gemma":[0.99121946,0.0028938516,0.0006017312,0.000234585,0.004817903,0.0002324194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016265584,0.0007700044,0.0005303455,0.008264939,0.0026906903,0.003067879,0.0014171192,0.0012282208,0.07236387],"category_scores_gemma":[0.010233585,0.0003861641,0.00076829625,0.019289099,0.0011263217,0.0016074153,0.0009023564,0.0014282573,0.009458275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006537693,0.00013072825,0.012832384,0.0019752823,0.000019972085,0.00035337452,0.0015846407,0.0016550275,0.00046011806,0.06954648,0.7919775,0.11939909],"study_design_scores_gemma":[0.000018391012,0.0000476821,0.11532612,0.00066208345,0.00002713672,0.00020820709,0.0016140703,0.0007045161,0.0010200649,0.0077282,0.87254417,0.00009928103],"about_ca_topic_score_codex":0.8245801,"about_ca_topic_score_gemma":0.88540363,"teacher_disagreement_score":0.17541993,"about_ca_system_score_codex":0.021581456,"about_ca_system_score_gemma":0.016384557,"threshold_uncertainty_score":0.352906},"labels":[],"label_agreement":null},{"id":"W1504534467","doi":"","title":"Dynamique des entreprises: Variation de la rentabilite d'entreprises canadiennes de differentes tailles, de 2000 a 2009","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02266672888279425,"score_gpt":0.2648979371972611,"score_spread":0.24223120831446687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504534467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887255,0.00202737,0.0005281775,0.0001736025,0.000008743825,0.0000073638535,0.006291788,0.00002321593,0.00221435],"genre_scores_gemma":[0.9934645,0.0008164587,0.00037061746,0.000026106029,0.000017428367,0.000012705698,0.0038941556,0.00000658497,0.0013914156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993882,0.00006532462,0.00006750934,0.00018572356,0.0001954435,0.00009763108],"domain_scores_gemma":[0.9929455,0.0016883604,0.0035719024,0.0004399777,0.0009569067,0.00039740847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013062814,0.0002679282,0.0003685921,0.002644006,0.00029219905,0.0013501863,0.00037146866,0.0005838998,0.002070862],"category_scores_gemma":[0.004708598,0.00023333222,0.00083932915,0.003675471,0.0003401307,0.0010469964,0.000628232,0.00049982226,0.00056561764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010859751,0.000025965332,0.98937947,0.00004702521,0.00023135079,0.00006945668,0.0004188652,0.00062065205,0.0004935707,0.00032579055,0.00052306725,0.00775629],"study_design_scores_gemma":[0.000002124901,0.000021558752,0.9973137,0.0000143173,0.000035709563,0.000091424765,0.00018696098,0.00038092563,0.00022116514,0.00009429182,0.0016296548,0.000008172625],"about_ca_topic_score_codex":0.04658365,"about_ca_topic_score_gemma":0.054164853,"teacher_disagreement_score":0.95341635,"about_ca_system_score_codex":0.0008297378,"about_ca_system_score_gemma":0.0006420439,"threshold_uncertainty_score":0.09262502},"labels":[],"label_agreement":null},{"id":"W1504743551","doi":"10.2139/ssrn.2011795","title":"Firm Dynamics: Firm Entry and Exit in Canada, 2000 to 2008","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Innovation, Science and Economic Development Canada; Statistics Canada","funders":"","keywords":"Dynamics (music); Business; Industrial organization; Economic geography; Economics; Physics","score_opus":0.008999276385134578,"score_gpt":0.18897464311722167,"score_spread":0.17997536673208708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504743551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9235167,0.0032759511,0.00024921322,0.0031069666,0.00006726835,0.000059156027,0.058906946,0.000120768666,0.010697017],"genre_scores_gemma":[0.9541949,0.0015236962,0.00019910086,0.00028255492,0.000034833873,0.000022723498,0.01801409,0.000024948122,0.025703233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998793,0.00003246526,0.0000566411,0.00014269247,0.00035927456,0.00061590027],"domain_scores_gemma":[0.99388546,0.00034942414,0.0013382526,0.000087186905,0.0026771624,0.0016624862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064894266,0.00044444329,0.00058983365,0.0029818309,0.002328881,0.0029715453,0.0017086619,0.0013043209,0.006922895],"category_scores_gemma":[0.0038470877,0.00030643085,0.00074909086,0.0067092697,0.00084416004,0.001305345,0.0015482221,0.0015264875,0.0009620562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005238861,0.00013289023,0.9405141,0.00017139754,0.00012349387,0.00032690744,0.0020915822,0.0017357942,0.00022274758,0.002452027,0.030327223,0.021377904],"study_design_scores_gemma":[0.000014273164,0.000035355875,0.981974,0.00007452709,0.000033000335,0.000063931046,0.0028722084,0.0012631317,0.00016563565,0.0001000139,0.013375026,0.000028969844],"about_ca_topic_score_codex":0.9968405,"about_ca_topic_score_gemma":0.9983132,"teacher_disagreement_score":0.04343599,"about_ca_system_score_codex":0.04343599,"about_ca_system_score_gemma":0.06188458,"threshold_uncertainty_score":0.31515163},"labels":[],"label_agreement":null},{"id":"W1507712669","doi":"10.1023/a:1015161307863","title":"Entry of Small and Medium Enterprises and Economic Dynamism in Japan","year":2002,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"World Bank Group","keywords":"Economic shortage; Barriers to entry; Business; Entrepreneurship; Quarter (Canadian coin); Government (linguistics); Economies of scale; Scale (ratio); Market economy; Economics; Industrial organization; Finance; Marketing; Market structure; Geography","score_opus":0.026992662647043284,"score_gpt":0.18069512789180128,"score_spread":0.153702465244758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507712669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978654,0.00036653035,0.00015390785,0.0002555546,0.000009377647,0.0000055102064,0.000066785986,0.0000051115376,0.0012718462],"genre_scores_gemma":[0.9990884,0.00019449345,0.00006896546,0.00003539072,0.000023478933,0.0000056040853,0.00009216118,0.000002022454,0.00048945076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946815,0.000056800545,0.00006477133,0.00012555903,0.00006528531,0.00021942849],"domain_scores_gemma":[0.99572206,0.0013824414,0.0010682016,0.00009880701,0.0005567738,0.0011717286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010624441,0.0003447541,0.00078921136,0.0023911735,0.0014773697,0.0031240154,0.00047320203,0.0010778784,0.0015676154],"category_scores_gemma":[0.0023105885,0.00036688166,0.00077636505,0.0018032256,0.0014210761,0.0029484578,0.0019299478,0.0009622662,0.00015389969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096314657,0.00034703212,0.95318526,0.0002175017,0.00015313593,0.0038329929,0.005500269,0.0032511032,0.0044695344,0.010039147,0.0017684036,0.01627234],"study_design_scores_gemma":[0.00009446912,0.00017045715,0.97561467,0.000045816443,0.00018257844,0.00036640067,0.008298423,0.008369161,0.00065786816,0.0041228374,0.0019928585,0.000084499334],"about_ca_topic_score_codex":0.026532885,"about_ca_topic_score_gemma":0.028174778,"teacher_disagreement_score":0.026532885,"about_ca_system_score_codex":0.002414138,"about_ca_system_score_gemma":0.0015158504,"threshold_uncertainty_score":0.052756906},"labels":[],"label_agreement":null},{"id":"W1507960739","doi":"","title":"La disparition des usines de fabrication canadiennes : reponses heterogenes aux changements de tarifs et de taux de change reels","year":2010,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.08045920060942452,"score_gpt":0.29201509766510714,"score_spread":0.21155589705568262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507960739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454874,0.0006270467,0.00087910047,0.0000918317,0.0000065093927,0.000011242526,0.00031727972,0.000013983531,0.0035042148],"genre_scores_gemma":[0.9926287,0.00040607934,0.00038837743,0.000030774754,0.0000030713281,0.000017506034,0.0002592007,0.0000058957266,0.0062602744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990313,0.0001586957,0.000049992184,0.00027246756,0.00033006925,0.00015744628],"domain_scores_gemma":[0.9952596,0.0024176745,0.0012781755,0.00028830112,0.0006406502,0.000115644725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015219997,0.00034104736,0.0004296639,0.00078898435,0.000348377,0.0011418364,0.0003974311,0.00063165993,0.0045060734],"category_scores_gemma":[0.0032263785,0.00022924776,0.0008162269,0.0013711445,0.000534392,0.00046659648,0.0005517085,0.00052539527,0.00040649326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019456295,0.0002898106,0.77406865,0.00033230305,0.0006747597,0.00048982486,0.0021812585,0.0490618,0.06505649,0.0029951404,0.0004809476,0.102423415],"study_design_scores_gemma":[0.000013179795,0.0008333555,0.96812606,0.000025729421,0.00011490367,0.00009907715,0.0014284462,0.0046908064,0.017484482,0.00078292994,0.006360261,0.00004084209],"about_ca_topic_score_codex":0.03255641,"about_ca_topic_score_gemma":0.040812504,"teacher_disagreement_score":0.9674436,"about_ca_system_score_codex":0.0022117074,"about_ca_system_score_gemma":0.0006809105,"threshold_uncertainty_score":0.0647338},"labels":[],"label_agreement":null},{"id":"W1510690073","doi":"","title":"Tendances du produit interieur brut et du travail autonome dans les entreprises non constituees en societe de l'economie canadienne, 1987 a 2005","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02292939652681944,"score_gpt":0.25830724507020153,"score_spread":0.2353778485433821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510690073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98754233,0.0013179765,0.00019445775,0.0004959784,0.000018832334,0.000012376451,0.0014536398,0.000011497099,0.00895296],"genre_scores_gemma":[0.97590226,0.0014520908,0.00028507516,0.00009856284,0.000024918856,0.00004077254,0.0022533715,0.000008076247,0.01993489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993436,0.00006793671,0.00002761775,0.00010454428,0.00024212323,0.00021425883],"domain_scores_gemma":[0.99681336,0.0003264873,0.0011957556,0.00008142038,0.0007429842,0.0008398673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007780597,0.00022704186,0.00027543926,0.002406549,0.0010218215,0.0013248035,0.00040075983,0.0003333188,0.0049761888],"category_scores_gemma":[0.0028269459,0.00021147808,0.00027772153,0.004149941,0.00039267782,0.00065122073,0.00090964296,0.0008366825,0.00064632617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016370212,0.000046602938,0.95779836,0.000076425276,0.000099613295,0.0001451401,0.0085165305,0.00046729532,0.00033890182,0.0020877107,0.003203488,0.02705619],"study_design_scores_gemma":[0.0000017883726,0.000020578243,0.9897143,0.000022384578,0.000007796227,0.000023965431,0.0025764531,0.00008893833,0.000052332936,0.00005020762,0.007436754,0.000004506103],"about_ca_topic_score_codex":0.23820673,"about_ca_topic_score_gemma":0.38686582,"teacher_disagreement_score":0.76179326,"about_ca_system_score_codex":0.00330759,"about_ca_system_score_gemma":0.0024452668,"threshold_uncertainty_score":0.47364044},"labels":[],"label_agreement":null},{"id":"W1510872224","doi":"","title":"Concurrence, roulement des entreprises et croissance de la productivite","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04706784839970267,"score_gpt":0.3219125100195491,"score_spread":0.27484466161984644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510872224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.904138,0.0029969928,0.081043616,0.00024806368,0.000058044,0.00015514134,0.00035100454,0.00023483777,0.010774127],"genre_scores_gemma":[0.9628564,0.00089804793,0.02970595,0.00006422379,0.00003675863,0.0001647725,0.00025232908,0.00008682768,0.005934659],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932892,0.0011774233,0.0003259641,0.0017789628,0.0030670972,0.00036130243],"domain_scores_gemma":[0.9623164,0.023060381,0.0069107963,0.003996789,0.0030375244,0.0006782318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006451794,0.0006455025,0.0014548204,0.0026582212,0.0007346296,0.0038926124,0.0009154846,0.0012314001,0.0037901702],"category_scores_gemma":[0.028085588,0.00075060606,0.0012792917,0.0026174833,0.0013822912,0.0026082539,0.0017686522,0.0012745976,0.0008549796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001907347,0.0005768955,0.3344736,0.0017118298,0.00096225156,0.0012660567,0.0045772204,0.035943303,0.1760131,0.03233952,0.00084403856,0.40938485],"study_design_scores_gemma":[0.00012487356,0.0023164211,0.6905461,0.00025911865,0.0007991782,0.0017435201,0.0020566792,0.08501388,0.16014127,0.036832143,0.019854931,0.00031182257],"about_ca_topic_score_codex":0.0037583476,"about_ca_topic_score_gemma":0.0051592467,"teacher_disagreement_score":0.006451794,"about_ca_system_score_codex":0.0016552316,"about_ca_system_score_gemma":0.001054901,"threshold_uncertainty_score":0.034120798},"labels":[],"label_agreement":null},{"id":"W1510945989","doi":"","title":"Dynamique des entreprises: dynamique de l'emploi resultant de la croissance et de la decroissance des entreprises au Canada, 2001 a 2009","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02954013390730302,"score_gpt":0.30185990916487326,"score_spread":0.27231977525757023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510945989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660198,0.001783515,0.0012614907,0.00093998486,0.000011279269,0.00002218673,0.014349361,0.00006335117,0.015548952],"genre_scores_gemma":[0.97375727,0.0018788025,0.0008631322,0.000055656034,0.00001710046,0.00001626044,0.0056884154,0.000015458263,0.017708035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999527,0.000017932905,0.000016291915,0.00007351383,0.00023004062,0.00013523725],"domain_scores_gemma":[0.99716055,0.0003774154,0.00081999967,0.00010826303,0.0011889846,0.00034482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005381033,0.00021884282,0.0002505852,0.0025808231,0.00091470307,0.002023682,0.00038920573,0.00031073103,0.0038585498],"category_scores_gemma":[0.0024056379,0.00019007754,0.00036691927,0.0048401174,0.0005560488,0.000638063,0.00068077975,0.00057238917,0.0004828962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017428318,0.00004184021,0.92315865,0.00011712162,0.00014016365,0.00024358986,0.0031686383,0.005573749,0.0016201766,0.0057602073,0.005606525,0.05439498],"study_design_scores_gemma":[0.000001966138,0.000009813745,0.9822741,0.000027230082,0.00002128847,0.000048421545,0.0010686589,0.0018119607,0.00040422255,0.00038223783,0.013936611,0.000013546313],"about_ca_topic_score_codex":0.8715289,"about_ca_topic_score_gemma":0.9238308,"teacher_disagreement_score":0.12847108,"about_ca_system_score_codex":0.009198846,"about_ca_system_score_gemma":0.010022892,"threshold_uncertainty_score":0.25845528},"labels":[],"label_agreement":null},{"id":"W1512071015","doi":"","title":"The Trend to Smaller Producers in Manufacturing in Canada and the U.S","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Order (exchange); Market share; Manufacturing sector; Economics; Business; Wage share; Labour economics; Demographic economics; Economic growth; Marketing","score_opus":0.0401440839670683,"score_gpt":0.24866389815222986,"score_spread":0.20851981418516158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512071015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96441287,0.0040362976,0.0006743578,0.0049076816,0.00006982136,0.000022673383,0.00237096,0.000078449426,0.023426807],"genre_scores_gemma":[0.98666096,0.002657122,0.0004072317,0.00045313346,0.000027503795,0.0000061807364,0.0010290747,0.000018611756,0.008740105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991843,0.000023356653,0.000019495532,0.00015029829,0.00029221876,0.00033029268],"domain_scores_gemma":[0.9954319,0.00032870795,0.00084805174,0.00009057676,0.0020537202,0.0012470238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006951921,0.00019372471,0.00029673407,0.0032643091,0.002628497,0.0020536643,0.0006645473,0.0005090774,0.0035341645],"category_scores_gemma":[0.0027171243,0.00022226223,0.00025670056,0.0040973504,0.0015445027,0.0008082903,0.0008344273,0.00096968305,0.00033777824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000606698,0.00007859619,0.83995646,0.0003431276,0.000080834216,0.0010894994,0.01737008,0.0012787428,0.012563404,0.013654148,0.01578192,0.0971965],"study_design_scores_gemma":[0.0000069446837,0.00002778499,0.96449006,0.000049198643,0.000020421006,0.0001824155,0.004062052,0.0002800255,0.0011099771,0.00018594966,0.029566444,0.000018681376],"about_ca_topic_score_codex":0.97067106,"about_ca_topic_score_gemma":0.9893457,"teacher_disagreement_score":0.029328942,"about_ca_system_score_codex":0.01966558,"about_ca_system_score_gemma":0.021200253,"threshold_uncertainty_score":0.14268446},"labels":[],"label_agreement":null},{"id":"W1513287803","doi":"","title":"Les industries de service et le commerce des services","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Business; Philosophy","score_opus":0.09644967711144188,"score_gpt":0.3215799606246358,"score_spread":0.22513028351319392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513287803","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36698255,0.047679514,0.035422254,0.019366814,0.00042277656,0.0001381605,0.009109085,0.0002328732,0.5206459],"genre_scores_gemma":[0.86658,0.028353661,0.010517264,0.0013668162,0.00029519387,0.000098100885,0.0032470196,0.00006976219,0.08947218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985103,0.0002225466,0.000038031318,0.00016193482,0.00073685683,0.00033033855],"domain_scores_gemma":[0.99819785,0.0006491836,0.00030607948,0.00008089775,0.0005707427,0.0001953925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648424,0.0004107475,0.00035518355,0.0032078153,0.0018166811,0.0052793953,0.0004131674,0.0010172742,0.01650073],"category_scores_gemma":[0.0030740527,0.00023601134,0.0005602687,0.008600609,0.0021616728,0.0025156825,0.0008066826,0.0010257273,0.0013567326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011342107,0.000045259505,0.060759477,0.00052383495,0.000072262366,0.0005142824,0.0023775746,0.0045542195,0.0019732527,0.81322825,0.015099277,0.100738846],"study_design_scores_gemma":[0.000026354526,0.000058314705,0.15209271,0.00074264366,0.00006929925,0.0009620188,0.008240229,0.006767464,0.0021669653,0.15426244,0.67453766,0.00007399653],"about_ca_topic_score_codex":0.4909667,"about_ca_topic_score_gemma":0.5068522,"teacher_disagreement_score":0.4909667,"about_ca_system_score_codex":0.009508347,"about_ca_system_score_gemma":0.010248045,"threshold_uncertainty_score":0.9762179},"labels":[],"label_agreement":null},{"id":"W1514617419","doi":"","title":"Annexe 2 : Main d’œuvre familiale et extra-familiale selon la ville","year":2012,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.026359169742505,"score_gpt":0.236521433612095,"score_spread":0.21016226386959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514617419","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40304816,0.011019106,0.00900535,0.008405176,0.0013540933,0.00054385193,0.101743996,0.0008401506,0.4640401],"genre_scores_gemma":[0.5077106,0.005402208,0.005667718,0.0010824975,0.00053141394,0.0004385221,0.036940645,0.0004242341,0.4418022],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9990633,0.00013286402,0.00004671863,0.00011748467,0.00033800933,0.00030165954],"domain_scores_gemma":[0.99241066,0.00328101,0.0008525125,0.0002576929,0.002581797,0.0006163554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075452396,0.0005518216,0.0005265388,0.003286872,0.0014326212,0.0027211625,0.0005602487,0.00042065923,0.11116782],"category_scores_gemma":[0.0059064864,0.00032149232,0.00064079807,0.0047640973,0.0008105549,0.0015903186,0.0010248442,0.0011814338,0.008853219],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095039926,0.00017262937,0.3023559,0.0017299642,0.0002651975,0.000929519,0.0139254965,0.004864547,0.0026093181,0.075745024,0.4219989,0.17445311],"study_design_scores_gemma":[0.000027199892,0.00008207769,0.38923338,0.00054245925,0.00005033176,0.00027090762,0.0066507976,0.0004307233,0.0011428667,0.0022481042,0.5992547,0.00006637244],"about_ca_topic_score_codex":0.14655067,"about_ca_topic_score_gemma":0.2357576,"teacher_disagreement_score":0.14655067,"about_ca_system_score_codex":0.0029022924,"about_ca_system_score_gemma":0.0025857291,"threshold_uncertainty_score":0.3718934},"labels":[],"label_agreement":null},{"id":"W1516218955","doi":"","title":"Quatre decennies de destruction creatrice : renouvellement de la base du secteur de la fabrication au Canada, de 1961 a 1999","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01602241225481493,"score_gpt":0.2587271181990443,"score_spread":0.24270470594422938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516218955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545065,0.004900971,0.0016600474,0.001629543,0.000050154482,0.000030155334,0.00457749,0.000056529767,0.032588575],"genre_scores_gemma":[0.9606778,0.0027688304,0.00091905583,0.00010087229,0.000021611504,0.00001695886,0.0011063312,0.000028587401,0.034359876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987814,0.00007220839,0.000029956034,0.00014154716,0.0005456456,0.0004291837],"domain_scores_gemma":[0.9979214,0.0003829471,0.00041690038,0.000087141736,0.00082041643,0.00037138138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066128076,0.00043076114,0.00028731447,0.0024149732,0.004558398,0.0031998998,0.00079621875,0.00075888267,0.0074645285],"category_scores_gemma":[0.002720033,0.0003154354,0.0004740411,0.004393905,0.0023491548,0.0011086668,0.0010426576,0.0014497883,0.00043338645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012484719,0.00017631674,0.52771634,0.0005859632,0.0003482655,0.0023331423,0.05691707,0.016539851,0.007624339,0.07007086,0.017635668,0.29880366],"study_design_scores_gemma":[0.000015841179,0.00006736281,0.84648126,0.00018820704,0.000055272274,0.0003225227,0.013631827,0.0010596076,0.0030943952,0.0014521193,0.13355653,0.00007510895],"about_ca_topic_score_codex":0.9749442,"about_ca_topic_score_gemma":0.9890947,"teacher_disagreement_score":0.03215315,"about_ca_system_score_codex":0.03215315,"about_ca_system_score_gemma":0.025772696,"threshold_uncertainty_score":0.23328847},"labels":[],"label_agreement":null},{"id":"W1516837126","doi":"10.1111/j.1365-2966.2007.00434.x","title":"Persistence of initial debt in the long‐term employment dynamics of new firms","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Debt; Econometrics; Asset (computer security); Economics; Persistence (discontinuity); Debt ratio; Null hypothesis; Monetary economics; Monotonic function; Financial economics; Mathematics; Macroeconomics; Computer science","score_opus":0.1663222676185273,"score_gpt":0.2179959038177293,"score_spread":0.05167363619920198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516837126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983228,0.00016676623,0.0003750081,0.00022468407,0.0000025777651,0.0000024636272,0.00014677289,0.0000028479894,0.00075604254],"genre_scores_gemma":[0.99920505,0.00007091697,0.000036239362,0.000008243141,0.000005038662,0.0000014992117,0.000112114474,8.5376337e-7,0.00056017184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984014,0.000023262153,0.000013676302,0.00003460043,0.000030392188,0.00005790527],"domain_scores_gemma":[0.99474204,0.0016680498,0.0019839078,0.00021162044,0.0005453801,0.00084902527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010635327,0.00011485558,0.00022788398,0.00055345555,0.00035371247,0.0013128782,0.00032653662,0.00048734932,0.0024817644],"category_scores_gemma":[0.005897344,0.00016987986,0.00018980082,0.0005499298,0.0005715853,0.0010347028,0.00072190084,0.0008500163,0.00041078412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021103522,0.00012134763,0.96860707,0.000034655586,0.000047668385,0.00037053577,0.00057850353,0.006123609,0.0032047203,0.007663865,0.00041867766,0.012618278],"study_design_scores_gemma":[0.000009314091,0.00006126442,0.9799762,0.000029540053,0.000014670671,0.00019124502,0.00051056145,0.012439722,0.0006860619,0.005303043,0.0007634408,0.000014969442],"about_ca_topic_score_codex":0.0059102844,"about_ca_topic_score_gemma":0.0061127143,"teacher_disagreement_score":0.0059102844,"about_ca_system_score_codex":0.0007622659,"about_ca_system_score_gemma":0.0003804715,"threshold_uncertainty_score":0.011751771},"labels":[],"label_agreement":null},{"id":"W1519228912","doi":"","title":"How relation-specific assets affect firm scope : A study of Japanese automotive firms' entry into the United states and Canada","year":2005,"lang":"en","type":"article","venue":"Research portal (Tilburg University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Scope (computer science); Affect (linguistics); Business; Relation (database); Industrial organization; Operations management; Economics; Engineering; Computer science; Psychology","score_opus":0.039491111569989606,"score_gpt":0.24989314966213524,"score_spread":0.21040203809214564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519228912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838865,0.00008348087,0.000011038812,0.00008944991,8.014942e-7,0.0000048511824,0.00008965744,8.3230697e-7,0.0013312448],"genre_scores_gemma":[0.99872845,0.000103893704,0.0000147088795,0.000028534663,0.0000012338869,0.0000024235062,0.00013736458,0.0000015069879,0.000981976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995185,0.000056245375,0.000018295586,0.00005175749,0.00012846866,0.00022665763],"domain_scores_gemma":[0.9949169,0.0010486734,0.0009532041,0.000104721286,0.0011826309,0.001793909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062925194,0.00019129754,0.0003555076,0.0013796694,0.0028025697,0.003293208,0.0007593105,0.0007271767,0.0026658892],"category_scores_gemma":[0.0035444733,0.00023153162,0.00033780065,0.0032547645,0.0012843907,0.0010515092,0.001878285,0.0011086377,0.00020566492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010526274,0.0001182004,0.9823815,0.000013980274,0.000032379,0.00023401828,0.011466444,0.00016840166,0.0003769025,0.0005038746,0.00041765202,0.004181364],"study_design_scores_gemma":[0.0000034607892,0.000018541743,0.98221844,0.000010045443,0.000012947654,0.000018580366,0.016731845,0.00018233288,0.000047191883,0.0000346411,0.0007144546,0.0000075538337],"about_ca_topic_score_codex":0.9481773,"about_ca_topic_score_gemma":0.98338103,"teacher_disagreement_score":0.051822722,"about_ca_system_score_codex":0.010843819,"about_ca_system_score_gemma":0.012711835,"threshold_uncertainty_score":0.104255795},"labels":[],"label_agreement":null},{"id":"W1519711094","doi":"","title":"Failure Rates for New Canadian Firms: New Perspectives on Entry and Exit","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographics; Competition (biology); Market failure; Demographic economics; Economics; Business; Microeconomics; Demography","score_opus":0.044553647269659054,"score_gpt":0.3001059042665268,"score_spread":0.25555225699686773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519711094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90553236,0.010996442,0.0075398255,0.009655606,0.00013103525,0.00009028039,0.0061172643,0.00010227202,0.059834808],"genre_scores_gemma":[0.99190485,0.0020387617,0.00030899225,0.00013247265,0.00009894199,0.000009644205,0.001062206,0.000025690422,0.004418405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973111,0.00030440916,0.000096661584,0.00028862467,0.0009003807,0.0010988781],"domain_scores_gemma":[0.9745816,0.009468601,0.00469718,0.00092441327,0.0057869493,0.004541241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047798813,0.000536667,0.000993184,0.006573806,0.0027348502,0.003999976,0.0019786214,0.0011590591,0.008492211],"category_scores_gemma":[0.026990624,0.00021114804,0.0012618694,0.0043339976,0.002582955,0.0026297248,0.0016617269,0.002790644,0.00040658258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003656799,0.00008178416,0.8732788,0.00020270245,0.00016418383,0.0005376639,0.00538563,0.013617589,0.00036565517,0.043134946,0.0076941513,0.05517123],"study_design_scores_gemma":[0.000019601599,0.000074568656,0.9640319,0.00020026378,0.00008998369,0.00021953555,0.0037604682,0.01129114,0.0001932427,0.0091310255,0.0108119855,0.0001764196],"about_ca_topic_score_codex":0.9367053,"about_ca_topic_score_gemma":0.9230875,"teacher_disagreement_score":0.06329471,"about_ca_system_score_codex":0.019633982,"about_ca_system_score_gemma":0.012674719,"threshold_uncertainty_score":0.14245516},"labels":[],"label_agreement":null},{"id":"W1522109706","doi":"10.2139/ssrn.2057923","title":"Stimulating Innovation: Is Canada Pursuing the Right Policies?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Perspective (graphical); Diversity (politics); Productivity; Open innovation; Business; Public policy; Innovation management; Knowledge management; Marketing; Industrial organization; Political science; Economics; Economic growth; Computer science","score_opus":0.018999771958007897,"score_gpt":0.22484107467392325,"score_spread":0.20584130271591536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522109706","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064945936,0.008907744,0.00088502985,0.79627717,0.0016730969,0.000117060656,0.0021433632,0.00012550944,0.12492511],"genre_scores_gemma":[0.7710832,0.0117205065,0.0027294194,0.16508418,0.00075085164,0.00009231419,0.0006778788,0.00011446506,0.047747128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98671794,0.00093180453,0.00038440275,0.00069400267,0.0043616174,0.006910311],"domain_scores_gemma":[0.9551909,0.0054028737,0.0022454083,0.00094417995,0.01843693,0.017779835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00734752,0.00045696186,0.0009865885,0.002596759,0.010812041,0.01589455,0.0022949828,0.009977662,0.01435776],"category_scores_gemma":[0.030981543,0.00030483527,0.00075178227,0.0056335074,0.006680528,0.0045686327,0.003134593,0.007223631,0.00085790927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004934461,0.0002070704,0.03867027,0.00084664987,0.00021405752,0.0005315217,0.0029632007,0.0025502578,0.0016423303,0.5482061,0.28432617,0.119348936],"study_design_scores_gemma":[0.00046769044,0.00017549684,0.08541278,0.0016900938,0.00040535975,0.00018444553,0.012403772,0.0024883673,0.0030737463,0.089170545,0.804095,0.00043271828],"about_ca_topic_score_codex":0.98512,"about_ca_topic_score_gemma":0.9892942,"teacher_disagreement_score":0.88706756,"about_ca_system_score_codex":0.11293247,"about_ca_system_score_gemma":0.4872412,"threshold_uncertainty_score":0.81938624},"labels":[],"label_agreement":null},{"id":"W1522205430","doi":"","title":"Tendances nationales et regionales des faillites d'entreprises, 1980 a 2005","year":2006,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03026993721116384,"score_gpt":0.2254497496787371,"score_spread":0.19517981246757327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522205430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884925,0.0015454342,0.0001752187,0.00031644877,0.000008929956,0.000008484801,0.005736914,0.000027101843,0.0036890176],"genre_scores_gemma":[0.9897584,0.0012686804,0.00019528705,0.00004662721,0.000010603593,0.000010989857,0.0035302227,0.0000060392967,0.0051731807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938726,0.000029587274,0.000039570747,0.00009261895,0.00025559505,0.00019538667],"domain_scores_gemma":[0.99664646,0.00018455357,0.0014234487,0.00007426689,0.0011674694,0.0005038189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004934396,0.00023770914,0.00026415018,0.0021228278,0.00066309737,0.00092181115,0.00039868598,0.00024002626,0.0019839997],"category_scores_gemma":[0.0020113613,0.00015247452,0.00033126128,0.0023880987,0.0004751771,0.00030459673,0.0006898209,0.00048489464,0.00020881518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006925187,0.000008466008,0.9869665,0.000048119615,0.00007222714,0.00008686057,0.0011544699,0.00030394498,0.00025914572,0.00029428132,0.0012548605,0.009481932],"study_design_scores_gemma":[0.0000010439334,0.00001374731,0.996384,0.000017237186,0.000016317334,0.000043239208,0.0009252972,0.00012515175,0.000064536245,0.000017757966,0.0023874065,0.000004289304],"about_ca_topic_score_codex":0.83719504,"about_ca_topic_score_gemma":0.9313409,"teacher_disagreement_score":0.83719504,"about_ca_system_score_codex":0.0052816295,"about_ca_system_score_gemma":0.005544638,"threshold_uncertainty_score":0.32752746},"labels":[],"label_agreement":null},{"id":"W1522802466","doi":"","title":"Skill Shortages and Advanced Technology Adoption","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economic shortage; Business; Marketing; Labour economics; Economic growth; Economics","score_opus":0.03374756918612104,"score_gpt":0.2951729233779154,"score_spread":0.26142535419179436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522802466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953377,0.00033137063,0.00014077342,0.00032680805,0.000004948844,0.000009391417,0.00014166473,0.0000039412153,0.003703434],"genre_scores_gemma":[0.99901557,0.00014314493,0.000033045697,0.00003164241,0.0000046766027,0.000002185699,0.00008531221,6.925998e-7,0.00068374205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881506,0.00009774757,0.00005544607,0.00007963877,0.0003887049,0.0005633268],"domain_scores_gemma":[0.9879578,0.0019226805,0.0062274477,0.00024992882,0.001415923,0.002226309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009701836,0.00013362372,0.00023843505,0.0015249997,0.00096871954,0.00082637067,0.00041146707,0.00034738472,0.00508408],"category_scores_gemma":[0.008306551,0.00012186578,0.00017699102,0.0014236694,0.0010616265,0.00058169954,0.0013053188,0.00063521334,0.00027126295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007185256,0.00010766039,0.97917545,0.00006715527,0.000023830384,0.00022752353,0.0026027493,0.00039510807,0.00043080773,0.0008450519,0.0006038191,0.015449036],"study_design_scores_gemma":[0.000003407696,0.000033980854,0.9963481,0.000021630136,0.0000049050236,0.000058333128,0.0021205582,0.00016039675,0.00006504794,0.00018899266,0.000990459,0.0000041936373],"about_ca_topic_score_codex":0.32286513,"about_ca_topic_score_gemma":0.424989,"teacher_disagreement_score":0.32286513,"about_ca_system_score_codex":0.002856356,"about_ca_system_score_gemma":0.0034942713,"threshold_uncertainty_score":0.6419717},"labels":[],"label_agreement":null},{"id":"W1523034690","doi":"10.2139/ssrn.1384562","title":"Industrial Competition, Shifts in Market Share and Productivity Growth","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Competition (biology); Liberalization; Market share; Economics; Industrial organization; Labour economics; International trade; Business; International economics; Market economy; Macroeconomics; Ecology; Finance","score_opus":0.02043790845584528,"score_gpt":0.2013508964642873,"score_spread":0.18091298800844202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523034690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948073,0.00038365283,0.00045972006,0.00033559554,0.000010301036,0.000005370163,0.0002821639,0.000016123622,0.0036997453],"genre_scores_gemma":[0.99848855,0.00012213463,0.000058136262,0.000027440628,0.000027192493,0.0000025560105,0.0002015306,0.00000293577,0.0010694838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975556,0.00006804015,0.000017095985,0.000050191815,0.000040575,0.000068683876],"domain_scores_gemma":[0.98743314,0.008438776,0.0023786696,0.00037206203,0.00027557826,0.0011017044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012406643,0.00022775996,0.00035075797,0.0011722004,0.00033680667,0.001784744,0.00037032305,0.0012511893,0.013363621],"category_scores_gemma":[0.008241965,0.00015888282,0.00040518693,0.0021709206,0.00085384754,0.0016233125,0.0007190535,0.00090168684,0.0012995617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016975434,0.00090254215,0.9426756,0.00010718688,0.00026679493,0.0006110311,0.0006071257,0.008579454,0.00414049,0.009712293,0.0019857527,0.02871411],"study_design_scores_gemma":[0.00008618314,0.00031711403,0.98074305,0.00001483813,0.000096672265,0.00020206883,0.0006144445,0.0066960123,0.00081240473,0.009165242,0.00123169,0.000020204638],"about_ca_topic_score_codex":0.004336916,"about_ca_topic_score_gemma":0.0058950465,"teacher_disagreement_score":0.013363621,"about_ca_system_score_codex":0.0008179554,"about_ca_system_score_gemma":0.00052745355,"threshold_uncertainty_score":0.04470581},"labels":[],"label_agreement":null},{"id":"W1523935192","doi":"","title":"Roulement des usines et croissance de la productivite dans le secteur canadien de la fabrication","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03411841591612665,"score_gpt":0.30013234462029487,"score_spread":0.26601392870416823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523935192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782809,0.0037917034,0.0009656692,0.00013220997,0.000025273417,0.000022266733,0.0005777703,0.00002647076,0.016177634],"genre_scores_gemma":[0.96745,0.003553167,0.0023109973,0.00008804976,0.000013025631,0.000040599592,0.00056565145,0.000034792938,0.025943719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991161,0.00014064166,0.000029140445,0.00024336971,0.0002881385,0.00018254059],"domain_scores_gemma":[0.99798167,0.00072283886,0.0005373363,0.000116049974,0.000490057,0.00015205171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010642923,0.00048693884,0.00036071535,0.0023009684,0.001405553,0.001547223,0.00070898427,0.0004370058,0.006523967],"category_scores_gemma":[0.0010624424,0.000260212,0.00071262906,0.0029453055,0.0008929345,0.0007499312,0.0006666616,0.0005445656,0.00082937384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094483356,0.00017558297,0.645379,0.0010678747,0.00038698514,0.00159998,0.020725625,0.0025416806,0.08037018,0.004896406,0.0013377453,0.24057403],"study_design_scores_gemma":[0.000004950507,0.0002846315,0.94835705,0.00010338609,0.00009721325,0.00026773813,0.0057687648,0.0003059865,0.008884438,0.0003850807,0.03549682,0.000043995817],"about_ca_topic_score_codex":0.090587795,"about_ca_topic_score_gemma":0.28766397,"teacher_disagreement_score":0.9094122,"about_ca_system_score_codex":0.0038963566,"about_ca_system_score_gemma":0.0018417018,"threshold_uncertainty_score":0.180121},"labels":[],"label_agreement":null},{"id":"W1524243475","doi":"10.1017/cbo9780511817441.011","title":"Entrepreneurship, job creation and innovation","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Job creation; Business; Labour economics; Economics; Finance","score_opus":0.03625703626794886,"score_gpt":0.19353725928853469,"score_spread":0.15728022302058584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524243475","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063422164,0.15634744,0.0011939137,0.00489042,0.0012607056,0.000024186775,0.00003571806,0.000022901588,0.8298826],"genre_scores_gemma":[0.12290979,0.18645413,0.0016000835,0.0025215857,0.0016864524,0.000077665194,0.00010176469,0.000031515552,0.684617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998622,0.000027322665,0.0000047307108,0.000022989807,0.000049709393,0.000033004322],"domain_scores_gemma":[0.9998723,0.00006710904,0.000011292286,0.0000069045536,0.000013671917,0.000028632996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021777333,0.00034913374,0.00026993378,0.0006681857,0.00097480096,0.0025193132,0.00033021538,0.0009734065,0.013943066],"category_scores_gemma":[0.00033498651,0.00011925307,0.00013716721,0.001043468,0.0016787923,0.0014871986,0.0010089951,0.0009810517,0.002809628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016195429,0.00009596996,0.00051292346,0.00040315682,0.0000049150235,0.00016718301,0.0019344155,0.0005662712,0.00027227664,0.7581707,0.05895342,0.1789025],"study_design_scores_gemma":[0.0000047813787,0.000027650694,0.001524401,0.0006461042,0.000002813987,0.00021080092,0.00069476955,0.00017500311,0.00014275887,0.15006623,0.846498,0.000006744774],"about_ca_topic_score_codex":0.0008759804,"about_ca_topic_score_gemma":0.001962727,"teacher_disagreement_score":0.013943066,"about_ca_system_score_codex":0.00086356717,"about_ca_system_score_gemma":0.0010549614,"threshold_uncertainty_score":0.04664421},"labels":[],"label_agreement":null},{"id":"W1525322709","doi":"","title":"Innovation and Productivity: A Study of Argentine Manufacturing Firms' Behavior (1992-2001)","year":2004,"lang":"en","type":"preprint","venue":"San Andres Digital Repository  (University of San Andrés)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Productivity; Industrial organization; Business; Economic geography; Economics; Macroeconomics","score_opus":0.03162331341452379,"score_gpt":0.20872340704477013,"score_spread":0.17710009363024634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525322709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429566,0.0018098904,0.00012739166,0.0003447419,0.000011508762,0.000008906379,0.0013113621,0.0000070577917,0.0020834552],"genre_scores_gemma":[0.9968945,0.00060830807,0.00008990296,0.00002484459,0.00002120111,0.000010586942,0.0009665447,0.0000045286197,0.0013795571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997328,0.00006215021,0.000016374297,0.000051816496,0.000057359463,0.00007960627],"domain_scores_gemma":[0.99664825,0.000989802,0.001400513,0.0001341496,0.00043054065,0.00039674086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010673419,0.00021371468,0.00024116611,0.0012974741,0.00042091915,0.0010702111,0.0003521753,0.0005287651,0.0018324972],"category_scores_gemma":[0.0034623044,0.00017147716,0.00020548362,0.0026751081,0.00024501694,0.00048746806,0.0004176857,0.0005315008,0.0003576942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014538731,0.000116268915,0.9742811,0.000041330513,0.0000777771,0.00017114024,0.0019418055,0.0005064633,0.00018026296,0.00031444206,0.0020471402,0.020176802],"study_design_scores_gemma":[0.0000032423343,0.000018851279,0.99827194,0.000011893889,0.000011131052,0.00003573958,0.0003041894,0.00018821863,0.000029389943,0.000029767536,0.0010933767,0.0000022428983],"about_ca_topic_score_codex":0.063521184,"about_ca_topic_score_gemma":0.061685238,"teacher_disagreement_score":0.063521184,"about_ca_system_score_codex":0.0012511541,"about_ca_system_score_gemma":0.0005602631,"threshold_uncertainty_score":0.1263029},"labels":[],"label_agreement":null},{"id":"W1525748198","doi":"10.2139/ssrn.2141812","title":"Firm Dynamics: Employment Growth Rates of Small Versus Large Firms in Canada","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Business; Labour economics; Demographic economics; Monetary economics","score_opus":0.020278966665962222,"score_gpt":0.21796767017578142,"score_spread":0.1976887035098192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525748198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883392,0.0006238535,0.00008433556,0.0009567432,0.000009132376,0.000008215976,0.0062996186,0.00002318852,0.0036557042],"genre_scores_gemma":[0.99486923,0.00021423383,0.000046031393,0.00003897792,0.0000055554306,0.0000020120626,0.0015484145,0.0000063024077,0.0032692256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995803,0.000018545843,0.000017215358,0.00006885132,0.00011615398,0.00019890782],"domain_scores_gemma":[0.9962262,0.0005292655,0.0006607735,0.000067337736,0.0014818258,0.0010345506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006296572,0.00018495008,0.0002865747,0.0021478585,0.0012728379,0.0020738195,0.0009712739,0.00075226027,0.0054243063],"category_scores_gemma":[0.003227492,0.00016487668,0.0003733679,0.0039530485,0.000648107,0.00072818925,0.0007820615,0.0007557498,0.00043308805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003332263,0.00006424348,0.97096324,0.000049997576,0.000058620568,0.00022297133,0.0017621838,0.0032632146,0.0005679311,0.0032180755,0.0058167656,0.013679501],"study_design_scores_gemma":[0.0000079030615,0.000013612344,0.99231464,0.000016623044,0.000016909571,0.00003176519,0.0023075347,0.0026239709,0.00017528534,0.00014320076,0.0023331705,0.000015274805],"about_ca_topic_score_codex":0.99371547,"about_ca_topic_score_gemma":0.9954723,"teacher_disagreement_score":0.023417203,"about_ca_system_score_codex":0.023417203,"about_ca_system_score_gemma":0.018707182,"threshold_uncertainty_score":0.16990453},"labels":[],"label_agreement":null},{"id":"W153071900","doi":"","title":"Success Factors for High-Technology SMEs: A Case Study from Australia","year":2000,"lang":"en","type":"article","venue":"Deakin Research Online (Deakin University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obsolescence; Commercialization; Business; Marketing; Product (mathematics); Process (computing); Industrial organization","score_opus":0.16930996484645736,"score_gpt":0.35213688878030763,"score_spread":0.18282692393385028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W153071900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969361,0.0005233199,0.00016621723,0.00038787007,0.000004082092,0.00005732504,0.000016482489,0.0000016539703,0.001907109],"genre_scores_gemma":[0.9949511,0.0022686492,0.0006594359,0.00020581878,0.000010718654,0.000055680906,0.000025197982,0.0000036620686,0.0018197399],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99901295,0.00041977898,0.000078493016,0.00005900806,0.00024287323,0.00018693264],"domain_scores_gemma":[0.99740523,0.0011266717,0.00037010905,0.000065412794,0.000510912,0.0005216513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014887871,0.00044049145,0.00057605555,0.001751502,0.0041483627,0.0016050036,0.0008629608,0.0015319736,0.0011147073],"category_scores_gemma":[0.0039135744,0.00033034352,0.00037886773,0.0025485924,0.0011205737,0.0011743635,0.002170372,0.0010254679,0.00021166205],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017595655,0.0014992665,0.13465168,0.0012398126,0.00005088974,0.115299374,0.6893267,0.0005604274,0.0039874245,0.0033964822,0.0017825852,0.048029464],"study_design_scores_gemma":[0.000032442993,0.001063666,0.3004441,0.00068220263,0.000081766266,0.018465653,0.65981734,0.0014368936,0.0011808207,0.0008259408,0.015905615,0.00006362003],"about_ca_topic_score_codex":0.055034023,"about_ca_topic_score_gemma":0.13447551,"teacher_disagreement_score":0.055034023,"about_ca_system_score_codex":0.0027857623,"about_ca_system_score_gemma":0.002400671,"threshold_uncertainty_score":0.10942733},"labels":[],"label_agreement":null},{"id":"W1532981004","doi":"10.1023/a:1012556327791","title":"Does Local Competition Impact Interest Rates Charged on Small Business Loans? Empirical Evidence from Canada","year":2001,"lang":"en","type":"article","venue":"Review of Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Wildlife Federation","funders":"","keywords":"Proxy (statistics); Loan; Business; Small business; The Internet; Relation (database); Actuarial science; Economics; Marketing; Finance; Computer science; Database; World Wide Web","score_opus":0.1431228705265541,"score_gpt":0.28329257636417143,"score_spread":0.14016970583761734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532981004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580406,0.012051374,0.00020837804,0.0048355386,0.000031401716,0.000037812482,0.0021067103,0.000023314642,0.022664925],"genre_scores_gemma":[0.98925424,0.0045407345,0.00010316638,0.00032473594,0.000021889751,0.00000802079,0.0008804302,0.0000097101,0.0048569795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979037,0.00023111848,0.00008582962,0.00020889973,0.00090302835,0.00066734024],"domain_scores_gemma":[0.9723975,0.007930135,0.004547499,0.0004554052,0.011145475,0.0035239097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021359518,0.000233692,0.00071366987,0.0023364483,0.003035485,0.003647955,0.0012808767,0.0006104119,0.0057385904],"category_scores_gemma":[0.013810748,0.0002899753,0.0004147022,0.006452408,0.0019847096,0.0008891425,0.0011875926,0.0012985503,0.00046665315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009649345,0.00021547728,0.92742753,0.00048521569,0.00027838492,0.00063457654,0.004656858,0.0013233722,0.00045912142,0.007327674,0.01715691,0.03906996],"study_design_scores_gemma":[0.00007212712,0.000050889917,0.98230517,0.00018178363,0.00022409509,0.00006962596,0.0050241137,0.0005333139,0.00032457718,0.0004397107,0.0107422685,0.000032363303],"about_ca_topic_score_codex":0.98762685,"about_ca_topic_score_gemma":0.9940806,"teacher_disagreement_score":0.033182677,"about_ca_system_score_codex":0.033182677,"about_ca_system_score_gemma":0.033187497,"threshold_uncertainty_score":0.2407583},"labels":[],"label_agreement":null},{"id":"W1533205551","doi":"10.22495/cocv1i2p4","title":"The impact of LBOs on investment policies and operations of acquired French firms","year":2003,"lang":"en","type":"preprint","venue":"Corporate Ownership and Control","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Investment (military); Capital (architecture); Economics; Business; Return on investment; Labour economics; Finance; Monetary economics; Macroeconomics; Production (economics)","score_opus":0.06496495397254079,"score_gpt":0.2511851317887891,"score_spread":0.1862201778162483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533205551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967269,0.00031778935,0.00008233852,0.00021872003,0.0000026666285,0.0000031326463,0.00009365059,0.0000067873652,0.0025480737],"genre_scores_gemma":[0.9991296,0.00012334943,0.000027944085,0.000017169761,0.000008714374,0.0000015513665,0.00012058837,0.0000011942888,0.0005698993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864525,0.00028697454,0.00006699996,0.00012586646,0.00035548222,0.00051938934],"domain_scores_gemma":[0.99093413,0.0018323881,0.0049664807,0.000246017,0.0010781273,0.00094281253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361103,0.00022282112,0.00023335335,0.001626624,0.0005248779,0.0025175835,0.00022344172,0.0005484714,0.0013984465],"category_scores_gemma":[0.0061466997,0.00009041229,0.00017761756,0.0010948516,0.0007326591,0.0006316782,0.000625299,0.000432996,0.00021341292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042275424,0.00016143423,0.9534492,0.000031403204,0.000069990776,0.00044190293,0.00076537696,0.0044736206,0.002292443,0.0033863073,0.0006635488,0.03384194],"study_design_scores_gemma":[0.000006526715,0.00014275582,0.9953122,0.000009617945,0.000012929911,0.00007004698,0.0006149429,0.0011380357,0.00039617767,0.00030062356,0.0019864046,0.000009637189],"about_ca_topic_score_codex":0.059539318,"about_ca_topic_score_gemma":0.05521376,"teacher_disagreement_score":0.059539318,"about_ca_system_score_codex":0.004208516,"about_ca_system_score_gemma":0.001343014,"threshold_uncertainty_score":0.118385494},"labels":[],"label_agreement":null},{"id":"W1533985464","doi":"","title":"Comprendre la productivite : un precis","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04365083428031988,"score_gpt":0.2831154694057548,"score_spread":0.23946463512543495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533985464","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026476797,0.18450513,0.20282924,0.047035743,0.039186593,0.00020597692,0.0020699236,0.0010962376,0.49659437],"genre_scores_gemma":[0.32452512,0.13682967,0.13018519,0.012019458,0.030439796,0.00041397527,0.0020995277,0.0024348341,0.36105245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99673563,0.00082961813,0.00019267882,0.00060929067,0.0014728814,0.00015980263],"domain_scores_gemma":[0.99330586,0.0034550603,0.00035254256,0.0009787387,0.0017341005,0.00017373539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027647375,0.0014933726,0.0009092531,0.0024731394,0.0014463376,0.009277637,0.0011502003,0.0027046236,0.03415668],"category_scores_gemma":[0.009404647,0.00037405442,0.0015316162,0.003161158,0.003753368,0.011134265,0.0021294553,0.004644129,0.011196519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013777982,0.0001413151,0.0017169958,0.0017412244,0.00009883795,0.00070232805,0.002150964,0.0010271667,0.0052650524,0.67339,0.07385183,0.23977661],"study_design_scores_gemma":[0.000014274889,0.00012252493,0.0019754828,0.0006109153,0.00004434708,0.0012722918,0.00051983114,0.0006515227,0.0058372132,0.11295628,0.87592375,0.00007152189],"about_ca_topic_score_codex":0.0032437767,"about_ca_topic_score_gemma":0.0029233901,"teacher_disagreement_score":0.03415668,"about_ca_system_score_codex":0.0019904096,"about_ca_system_score_gemma":0.0019479915,"threshold_uncertainty_score":0.1142655},"labels":[],"label_agreement":null},{"id":"W1534821281","doi":"","title":"La vie apres le repli : mises a pied permanentes dans le secteur de la technologie de pointe et pertes de gains des travailleurs deplaces","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05001677174048146,"score_gpt":0.3161302636491786,"score_spread":0.26611349190869715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534821281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421688,0.0013670631,0.004957154,0.0018582362,0.0000864195,0.00010763033,0.0025099434,0.000103346785,0.04684157],"genre_scores_gemma":[0.9634402,0.0006307256,0.0018660153,0.00018173447,0.00002973288,0.00009810695,0.00078658323,0.000054036715,0.03291282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974661,0.00043184447,0.00010184145,0.00043447647,0.0010945308,0.00047121782],"domain_scores_gemma":[0.9898318,0.0034777606,0.0020065168,0.000601821,0.003225592,0.0008564298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033431086,0.00033484027,0.00041907805,0.0024564574,0.002494317,0.004571941,0.0010580225,0.0010455592,0.011967343],"category_scores_gemma":[0.016230281,0.00033261473,0.0004878829,0.0039026649,0.0017603156,0.0018397822,0.0022106722,0.00133154,0.0014104337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017402058,0.0003644069,0.60056955,0.0007686291,0.00043481978,0.001190005,0.09210527,0.004882879,0.0048753293,0.0293897,0.008648934,0.25503027],"study_design_scores_gemma":[0.00002628063,0.000396729,0.8972463,0.0003447604,0.00017328089,0.00025092237,0.046123,0.0012749023,0.00211077,0.004625217,0.047338806,0.00008901975],"about_ca_topic_score_codex":0.26487523,"about_ca_topic_score_gemma":0.3787799,"teacher_disagreement_score":0.26487523,"about_ca_system_score_codex":0.008510169,"about_ca_system_score_gemma":0.007899579,"threshold_uncertainty_score":0.526667},"labels":[],"label_agreement":null},{"id":"W1535145647","doi":"","title":"SHORT TERM SACRIFICES FOR LONG TERM BENEFITS: A LOOK AT HIGH GROWTH FIRMS","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Profitability index; Term (time); Business; Profit (economics); Order (exchange); Industrial organization; Emerging markets; Workforce; Economics; Labour economics; Monetary economics; Finance; Microeconomics; Economic growth","score_opus":0.018135475156785087,"score_gpt":0.22954976882385475,"score_spread":0.21141429366706965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535145647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019796,0.007787746,0.026435336,0.011063347,0.00005313732,0.00003578296,0.00015124182,0.000036210873,0.05245755],"genre_scores_gemma":[0.9965829,0.0009094968,0.00062269974,0.00015252578,0.00003136655,0.0000051042575,0.000015324746,0.0000032931812,0.0016774087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996729,0.00010538749,0.000007792496,0.000040132785,0.000045941346,0.00012791094],"domain_scores_gemma":[0.9975454,0.0013527352,0.00048089176,0.000067055036,0.00012800358,0.00042590898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000833357,0.00021945858,0.000458811,0.00063149916,0.0007622652,0.0027494426,0.00062783755,0.001666549,0.004016446],"category_scores_gemma":[0.0021601254,0.00019409598,0.0006519802,0.00077350065,0.0015160872,0.00264934,0.0006962715,0.0017034287,0.00021480805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045653412,0.0006909466,0.06574892,0.00033470822,0.00015484249,0.0031367915,0.0019919474,0.19530794,0.0047192196,0.6705855,0.0059484276,0.05092419],"study_design_scores_gemma":[0.000113794325,0.0011361113,0.09725087,0.00030539173,0.00017993848,0.0010987084,0.0050138477,0.40549245,0.0014013349,0.47397336,0.013877327,0.00015690262],"about_ca_topic_score_codex":0.004608922,"about_ca_topic_score_gemma":0.0066268747,"teacher_disagreement_score":0.004608922,"about_ca_system_score_codex":0.001998011,"about_ca_system_score_gemma":0.0008887559,"threshold_uncertainty_score":0.0144966245},"labels":[],"label_agreement":null},{"id":"W1535177344","doi":"","title":"Stock Price Performance for Corporate Focus Strategy in Chile","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Diversification (marketing strategy); Restructuring; Divestment; Shareholder value; Financial economics; Portfolio; Equity (law); Shareholder; Business; Abnormal return; Economics; Event study; Share price; Corporate governance; Finance; Marketing; Stock exchange","score_opus":0.027505690781673996,"score_gpt":0.21443349085564795,"score_spread":0.18692780007397394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535177344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210006,0.00009564973,0.000052711435,0.00024502026,0.0000049562145,0.000008935773,0.00036331112,0.0000067391147,0.0071225218],"genre_scores_gemma":[0.9962758,0.000053778873,0.000015512025,0.000026375374,0.000010696854,0.000004489621,0.0005099299,0.0000020654334,0.0031014779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981576,0.000028736995,0.000008956542,0.00002536176,0.000052510055,0.00006861442],"domain_scores_gemma":[0.99819845,0.0005585845,0.00065638794,0.00010695458,0.00015560004,0.00032398364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054107374,0.00014234374,0.00020637467,0.0007,0.0002021281,0.0011819054,0.00023605881,0.00042029505,0.006176799],"category_scores_gemma":[0.002697632,0.000066652996,0.00022973878,0.0006319372,0.00028423162,0.00055313914,0.00059752923,0.0006480375,0.00069741835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009143417,0.0006652219,0.97192425,0.00004489644,0.000109707296,0.00094476744,0.0009612419,0.0018078863,0.0020421364,0.0037781436,0.003510086,0.01329741],"study_design_scores_gemma":[0.000030735253,0.00015189196,0.9939855,0.000007185567,0.000019152085,0.00007356813,0.0008277699,0.0020838522,0.00041081957,0.0005179031,0.0018823002,0.000009461109],"about_ca_topic_score_codex":0.009723548,"about_ca_topic_score_gemma":0.005340033,"teacher_disagreement_score":0.009723548,"about_ca_system_score_codex":0.00084804,"about_ca_system_score_gemma":0.00033791614,"threshold_uncertainty_score":0.02066344},"labels":[],"label_agreement":null},{"id":"W1537081634","doi":"","title":"Innovation and Firm Performance. Econometric Explorations of Survey Data","year":2002,"lang":"en","type":"book","venue":"Data Archiving and Networked Services (DANS)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Product innovation; Subsidy; Industrial organization; Economics; Economic geography; Business; Market economy","score_opus":0.15367720464340373,"score_gpt":0.24577353744270541,"score_spread":0.09209633279930168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537081634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7594313,0.011087623,0.0774201,0.0023502826,0.00042547286,0.0014842382,0.124926694,0.0021043941,0.020769872],"genre_scores_gemma":[0.9454932,0.001674531,0.01117285,0.00018351756,0.00018400246,0.0012622647,0.02864251,0.00015583952,0.01123112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98232186,0.01313731,0.00072001416,0.0014692105,0.0014820335,0.00086949527],"domain_scores_gemma":[0.87816024,0.10290797,0.01022871,0.0059276265,0.0019881378,0.00078723504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01907477,0.00083988794,0.0017886371,0.005397231,0.00059812784,0.002476023,0.002042551,0.0014700323,0.023514137],"category_scores_gemma":[0.07284465,0.00059532735,0.0032643247,0.01185484,0.0012772427,0.0015821289,0.0015655921,0.0017459291,0.005388752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014618057,0.0006098382,0.7124216,0.0016817821,0.003137593,0.0009220897,0.0016323655,0.05660702,0.00026998736,0.01916844,0.048233636,0.15385392],"study_design_scores_gemma":[0.00045327487,0.0016778524,0.76689154,0.00069175416,0.00093948597,0.0010321753,0.005324269,0.13732666,0.00062356424,0.018122965,0.066713944,0.00020256815],"about_ca_topic_score_codex":0.020112708,"about_ca_topic_score_gemma":0.007917499,"teacher_disagreement_score":0.023514137,"about_ca_system_score_codex":0.001111232,"about_ca_system_score_gemma":0.0011712093,"threshold_uncertainty_score":0.10087824},"labels":[],"label_agreement":null},{"id":"W1537987212","doi":"","title":"Mesure de la contribution du secteur des entreprises non constituees en societe a l'economie canadienne, 1997 a 2002","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.016019462681228974,"score_gpt":0.2591288560960237,"score_spread":0.24310939341479473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537987212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94028205,0.003950104,0.0014357583,0.0017084999,0.000068474386,0.00006409059,0.015595687,0.00008630322,0.036809023],"genre_scores_gemma":[0.915346,0.0054455535,0.0012674242,0.00025035918,0.000071032584,0.000109282395,0.013375496,0.00004402583,0.06409077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793977,0.000273979,0.00009745249,0.000269345,0.0009841846,0.00043527395],"domain_scores_gemma":[0.99025774,0.0023436802,0.0018108501,0.00036281077,0.0040124734,0.0012125134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015761745,0.00047407727,0.00046654354,0.006144772,0.0015100763,0.002439885,0.00069419236,0.00041611984,0.0068994],"category_scores_gemma":[0.007574104,0.0004360022,0.0006603241,0.012819199,0.00047631812,0.0006095652,0.0015747134,0.0011391545,0.0012663654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013564574,0.000031083553,0.93167436,0.00019927985,0.0003647405,0.00021453564,0.00652402,0.0016658079,0.00063671044,0.0026119023,0.0046733376,0.05126853],"study_design_scores_gemma":[0.0000035216835,0.00001812103,0.9699126,0.000056814224,0.00007785278,0.00005376662,0.0035757576,0.0004545552,0.0003198744,0.00012907639,0.025387961,0.00001015337],"about_ca_topic_score_codex":0.73605174,"about_ca_topic_score_gemma":0.84237486,"teacher_disagreement_score":0.26394826,"about_ca_system_score_codex":0.010952333,"about_ca_system_score_gemma":0.01123489,"threshold_uncertainty_score":0.5310054},"labels":[],"label_agreement":null},{"id":"W1538316821","doi":"10.7202/1025033ar","title":"Les effets possibles de la formation sur la productivité : l’apport de données longitudinales","year":2014,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04519030359064172,"score_gpt":0.24108577105116819,"score_spread":0.19589546746052647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538316821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9451349,0.014442238,0.023896726,0.000995162,0.00022772739,0.00044082158,0.009795676,0.00015022249,0.0049164942],"genre_scores_gemma":[0.97400826,0.0028991203,0.012167946,0.00032458486,0.00008253396,0.0008559092,0.005549932,0.00009690327,0.0040147495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9629141,0.023229232,0.0043623857,0.0038818666,0.004533668,0.0010787257],"domain_scores_gemma":[0.5045185,0.43487477,0.028685244,0.015169751,0.015359215,0.0013925676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.046419833,0.001176139,0.0014501212,0.003192093,0.0012962562,0.00390152,0.0012656256,0.0015149039,0.00683793],"category_scores_gemma":[0.15615767,0.0009233394,0.005974525,0.005408811,0.001227495,0.0031269258,0.0023373198,0.0020770906,0.001083534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024932565,0.0003322065,0.9305743,0.002080941,0.009515054,0.0004460196,0.0056263967,0.0045929193,0.0017571745,0.0011282569,0.001271496,0.040182002],"study_design_scores_gemma":[0.00019894267,0.0030266799,0.9348423,0.0017844139,0.008715947,0.0006764538,0.008781029,0.0080634095,0.0063283453,0.0027875463,0.024526138,0.00026879954],"about_ca_topic_score_codex":0.026908409,"about_ca_topic_score_gemma":0.02239133,"teacher_disagreement_score":0.046419833,"about_ca_system_score_codex":0.0013652614,"about_ca_system_score_gemma":0.0026291695,"threshold_uncertainty_score":0.24549443},"labels":[],"label_agreement":null},{"id":"W1538701784","doi":"10.5539/ijms.v7n3p39","title":"Market Orientation and the Performance of Small and Medium-Sized Manufacturing Enterprises in the Accra Metropolis","year":2015,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market orientation; Business; Small and medium-sized enterprises; Marketing; Lottery; Scale (ratio); Industrial organization; Manufacturing; Orientation (vector space); Economics","score_opus":0.04083027314079991,"score_gpt":0.27160702165693135,"score_spread":0.23077674851613145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538701784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996068,0.000026617854,0.000007847914,0.000030182237,7.724442e-7,0.000002829501,0.000017952305,3.207081e-7,0.00030676386],"genre_scores_gemma":[0.99976903,0.0000276102,0.000016220509,0.000005825416,0.0000014639221,0.0000020440941,0.000016932978,2.2255561e-7,0.00016067633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996438,0.0001144939,0.000028572884,0.000027615959,0.00007765537,0.000107814325],"domain_scores_gemma":[0.99770397,0.000421186,0.0011189977,0.000051841453,0.00015824259,0.00054590026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006047411,0.0001443906,0.00015245474,0.00071784947,0.0005757792,0.0010306819,0.00015160366,0.00026471593,0.0017880609],"category_scores_gemma":[0.0017269653,0.0000878865,0.00015394138,0.0009238432,0.0004934923,0.0004912115,0.00052496203,0.00035494813,0.00027226153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006224793,0.00019110256,0.9929033,0.000012699441,0.000013460106,0.00027841053,0.0023735831,0.00007033583,0.0005018063,0.00014360734,0.00008649937,0.0033630284],"study_design_scores_gemma":[0.0000016403939,0.000106395,0.9942059,0.00000889846,0.0000036185354,0.000076982185,0.0051381546,0.00010527737,0.000072798706,0.00003510881,0.00024190218,0.0000033551883],"about_ca_topic_score_codex":0.00673764,"about_ca_topic_score_gemma":0.012952817,"teacher_disagreement_score":0.00673764,"about_ca_system_score_codex":0.00059778616,"about_ca_system_score_gemma":0.0004196657,"threshold_uncertainty_score":0.013396859},"labels":[],"label_agreement":null},{"id":"W1540503160","doi":"","title":"Skills Required for Innovation: A Review of the Literature","year":2007,"lang":"en","type":"review","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada","keywords":"Business; Endowment; Economic shortage; Technological change; Innovator; National innovation system; Obstacle; Industrial organization; Innovation system; Process (computing); Marketing; Economics; Entrepreneurship; Political science; Economy","score_opus":0.04348547233658327,"score_gpt":0.2773063349850136,"score_spread":0.23382086264843033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540503160","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002023133,0.9976647,0.00007632788,0.0007241232,0.00018337226,0.0000043534737,0.000028549022,0.0000033508159,0.0011128563],"genre_scores_gemma":[0.0012909464,0.9979626,0.00013043878,0.000283635,0.00017083996,0.000006534877,0.00002377144,0.0000012256103,0.00013011564],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998468,0.00029640133,0.0003257518,0.00024089144,0.00055291917,0.00011607242],"domain_scores_gemma":[0.98996395,0.008012965,0.0007962616,0.000096170894,0.00084833294,0.00028238795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024064356,0.0010183748,0.0019775773,0.01147117,0.0009222768,0.0045057097,0.0017141936,0.0029146078,0.0058712135],"category_scores_gemma":[0.00843419,0.0007077206,0.0013897179,0.014033416,0.0017488485,0.0053197746,0.0015613812,0.0025920086,0.0015658366],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010538989,0.00013124643,0.0016625323,0.118685745,0.00022667534,0.0005355582,0.00093206484,0.0008554177,0.00041602808,0.020086695,0.041919652,0.814443],"study_design_scores_gemma":[0.000020818901,0.00013233318,0.010842342,0.14651379,0.00040042071,0.0022143503,0.0015006567,0.00025470115,0.0002914115,0.015296876,0.8224635,0.00006869481],"about_ca_topic_score_codex":0.0051310556,"about_ca_topic_score_gemma":0.0058178604,"teacher_disagreement_score":0.01147117,"about_ca_system_score_codex":0.0028866136,"about_ca_system_score_gemma":0.007353031,"threshold_uncertainty_score":0.02094388},"labels":[],"label_agreement":null},{"id":"W1540796237","doi":"","title":"Les revisions de 2001 a 2004 de la productivite du travail du secteur des entreprises au Canada et aux Etats-Unis","year":2006,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.020248875377156278,"score_gpt":0.2272945756694764,"score_spread":0.2070457002923201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540796237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297728,0.0039124642,0.007820523,0.0010415307,0.00015037278,0.00010283246,0.04403081,0.00031790716,0.012850744],"genre_scores_gemma":[0.9317359,0.0032819703,0.00787606,0.00016542972,0.000094565774,0.00010923168,0.037027337,0.00012871348,0.019580899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99451536,0.0007392368,0.0004425198,0.00057714805,0.0033084133,0.00041727582],"domain_scores_gemma":[0.93734574,0.016616212,0.007872492,0.0022686697,0.034749065,0.0011477859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005811746,0.00091789267,0.00058247655,0.006348859,0.00094953825,0.0040909555,0.0009773839,0.0006855864,0.0021008132],"category_scores_gemma":[0.031515867,0.00059641834,0.00081589643,0.009017786,0.0008110613,0.0012022977,0.00069112383,0.0014428151,0.0007218578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048977643,0.00010051108,0.79742134,0.00041776817,0.00040995752,0.000284255,0.0040126466,0.028404487,0.0016142746,0.0036459719,0.012303395,0.15089552],"study_design_scores_gemma":[0.000015214019,0.000071594804,0.9478353,0.00018026763,0.00010162175,0.000096878495,0.0011853133,0.010130311,0.003083035,0.00041408144,0.036826044,0.00006025267],"about_ca_topic_score_codex":0.89775074,"about_ca_topic_score_gemma":0.8863542,"teacher_disagreement_score":0.102249265,"about_ca_system_score_codex":0.015888875,"about_ca_system_score_gemma":0.017319992,"threshold_uncertainty_score":0.20570284},"labels":[],"label_agreement":null},{"id":"W1542300088","doi":"10.1108/00070701011058262","title":"Productivity and business R&amp;D","year":2010,"lang":"en","type":"article","venue":"British Food Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Productivity; Business; Agricultural economics; Capital (architecture); Industrial organization; Economics; Economic growth; Geography","score_opus":0.026821862989413862,"score_gpt":0.20232479855159738,"score_spread":0.17550293556218352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542300088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8127691,0.015850754,0.007322854,0.0058757793,0.00017935423,0.00008625797,0.012434695,0.00045099194,0.14503023],"genre_scores_gemma":[0.98069364,0.0028739464,0.0009532927,0.00018317014,0.00006459082,0.000008872759,0.0024068032,0.000027495085,0.012788342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983627,0.00014370416,0.00006653745,0.00017886523,0.0008642246,0.00038391122],"domain_scores_gemma":[0.99123114,0.0020094186,0.0024579393,0.0005138372,0.0027264133,0.0010612174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013251366,0.000420728,0.00023119124,0.0034880273,0.0008659278,0.003316964,0.0004881595,0.00032608086,0.007813767],"category_scores_gemma":[0.006963532,0.00014037112,0.0005001051,0.004887309,0.0012168289,0.00068668986,0.00082091364,0.00080302777,0.0025214087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020053869,0.00012923325,0.8400569,0.00037596276,0.0004011426,0.00033879187,0.00056160404,0.008129904,0.001916866,0.013299597,0.008259913,0.12632944],"study_design_scores_gemma":[0.0000137527095,0.000048869737,0.9318761,0.0001604816,0.000113358954,0.00023779634,0.0008138383,0.0032715432,0.002763631,0.004674753,0.055996716,0.00002917605],"about_ca_topic_score_codex":0.37881795,"about_ca_topic_score_gemma":0.35450962,"teacher_disagreement_score":0.37881795,"about_ca_system_score_codex":0.008586321,"about_ca_system_score_gemma":0.007148141,"threshold_uncertainty_score":0.753226},"labels":[],"label_agreement":null},{"id":"W1542310681","doi":"","title":"L'endettement des entreprises dans le secteur canadien de la fabrication : consequences pour l'emploi et les inventaires","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05093171292483039,"score_gpt":0.30084420854205296,"score_spread":0.24991249561722256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542310681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948086,0.0006046309,0.00023720766,0.00017659241,0.000003896879,0.000004825059,0.00022921336,0.0000049967107,0.0039300905],"genre_scores_gemma":[0.99093926,0.00081327546,0.00025978617,0.000028086915,0.0000102790045,0.000008712454,0.00028052102,0.0000019753672,0.0076581175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995321,0.00006153664,0.000018435181,0.00008050927,0.00017736289,0.00012996556],"domain_scores_gemma":[0.99645567,0.001053399,0.0014657279,0.00013822361,0.00044467047,0.00044241676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011582556,0.00025682198,0.00021695739,0.0016319373,0.00092115975,0.0014621253,0.00034694636,0.00046348368,0.004878144],"category_scores_gemma":[0.002705263,0.00014464968,0.00029759193,0.0022366832,0.00056345674,0.00060829124,0.0006341436,0.00039500959,0.0005717861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001245027,0.000049767674,0.9445779,0.00006760346,0.00006376574,0.0005225867,0.004034228,0.0016130188,0.0037189939,0.002915476,0.0004403396,0.041871738],"study_design_scores_gemma":[0.0000029797343,0.00009179659,0.98877233,0.000028516693,0.000036098743,0.00018937889,0.0022745272,0.00076978665,0.0015011902,0.0005762094,0.005747194,0.000010106311],"about_ca_topic_score_codex":0.03668225,"about_ca_topic_score_gemma":0.09933099,"teacher_disagreement_score":0.96331775,"about_ca_system_score_codex":0.0019852256,"about_ca_system_score_gemma":0.001198388,"threshold_uncertainty_score":0.07293749},"labels":[],"label_agreement":null},{"id":"W1542469513","doi":"","title":"Liaisons globales : les multinationales au Canada : apercu des recherches a Statistique Canada","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.10472372035336022,"score_gpt":0.3240610059943105,"score_spread":0.21933728564095026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542469513","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27273288,0.29456264,0.010624866,0.056339715,0.0012061293,0.00031436724,0.02763098,0.0003354109,0.336253],"genre_scores_gemma":[0.76186305,0.1743484,0.0071124686,0.0049226945,0.00036935124,0.00019112395,0.0071451124,0.00016678269,0.043881096],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9953694,0.0006211424,0.00019258432,0.0006142602,0.002361878,0.0008407271],"domain_scores_gemma":[0.98413575,0.0047490783,0.0014103377,0.00054009556,0.008199668,0.0009651094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004227673,0.0007904217,0.0009511934,0.010610045,0.0056537986,0.009169865,0.001218386,0.00081098796,0.00999476],"category_scores_gemma":[0.013654659,0.00041440898,0.0008464831,0.03738002,0.003406884,0.003136146,0.0026537045,0.0024184082,0.0005129505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001571893,0.00007279462,0.27874914,0.00485779,0.0007648399,0.00074387505,0.047498994,0.005556989,0.0007131101,0.19120485,0.076970086,0.3927103],"study_design_scores_gemma":[0.00001459317,0.000041407904,0.35911748,0.0066015413,0.00048109906,0.0001972836,0.06086902,0.0016309912,0.0008614365,0.008638309,0.56137913,0.00016776824],"about_ca_topic_score_codex":0.99194956,"about_ca_topic_score_gemma":0.99429387,"teacher_disagreement_score":0.08083809,"about_ca_system_score_codex":0.08083809,"about_ca_system_score_gemma":0.13872811,"threshold_uncertainty_score":0.5865241},"labels":[],"label_agreement":null},{"id":"W1543387646","doi":"","title":"Financial Market Imperfections: Does it Matter for Firm Size Dynamics?","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Balance sheet; Economics; Asset (computer security); Debt; Panel data; Debt ratio; Control (management); Dynamics (music); Finance; Monetary economics; Financial economics; Econometrics","score_opus":0.021156367148168945,"score_gpt":0.27634363469895074,"score_spread":0.2551872675507818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543387646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675596,0.003064765,0.002772707,0.010639186,0.000045068868,0.00006110427,0.0010801257,0.00006176656,0.014715573],"genre_scores_gemma":[0.99788994,0.00045446085,0.00011819128,0.00021445808,0.000041153377,0.0000056079207,0.00017797826,0.0000061810447,0.0010920076],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955755,0.0000752159,0.000035623598,0.00011923577,0.0000680353,0.0001442991],"domain_scores_gemma":[0.9767701,0.009330726,0.011063689,0.0006385646,0.00054089475,0.0016561336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016409858,0.00017761774,0.00074418716,0.00089803134,0.0005541988,0.0026355179,0.0007243182,0.0015535769,0.0131077375],"category_scores_gemma":[0.013307192,0.00022587007,0.00046964464,0.0011753248,0.0011449711,0.0030906321,0.0006704952,0.001264747,0.00064624794],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018640413,0.00023876263,0.9245698,0.00016168157,0.00024368922,0.00068363204,0.0006047026,0.0062551755,0.00092247216,0.028674485,0.004080124,0.033379093],"study_design_scores_gemma":[0.00005124449,0.00009751836,0.9534171,0.00007936349,0.00016285604,0.00020839302,0.0009422904,0.01140358,0.00042009237,0.028333612,0.0048512127,0.000032767584],"about_ca_topic_score_codex":0.013681201,"about_ca_topic_score_gemma":0.013964197,"teacher_disagreement_score":0.013681201,"about_ca_system_score_codex":0.0011537073,"about_ca_system_score_gemma":0.0008774152,"threshold_uncertainty_score":0.043849766},"labels":[],"label_agreement":null},{"id":"W1543717263","doi":"10.1111/j.1540-5982.2010.01629.x","title":"Trade‐related intellectual property rights: industry variation and technology diffusion","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Intellectual property; Imitation; Diffusion; International trade; Economics; International economics; High tech; Business; Industrial organization; Geography; Political science","score_opus":0.1204466948236999,"score_gpt":0.15983653315642282,"score_spread":0.039389838332722915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543717263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874297,0.0005922685,0.0067398907,0.00042874273,0.000009460018,0.000018951214,0.00021445654,0.000037464444,0.0045291446],"genre_scores_gemma":[0.9992193,0.00007184042,0.00023664432,0.000009417132,0.0000054983625,0.000003165941,0.000056512115,0.0000021758426,0.00039542935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886537,0.00058307726,0.000053969798,0.00021531952,0.00012392915,0.00015837046],"domain_scores_gemma":[0.9774645,0.015797177,0.004139042,0.0014415882,0.0006354431,0.0005223783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028606944,0.00019211775,0.00048178085,0.0010542219,0.00026148258,0.001615989,0.00048107686,0.00093535555,0.003515006],"category_scores_gemma":[0.013936877,0.00013539408,0.00064392335,0.0014701084,0.0009647916,0.0013986216,0.00076243735,0.00071888085,0.0002871151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008790708,0.00050746655,0.65581846,0.00020960663,0.0009479484,0.0008552436,0.0006799544,0.23176453,0.0053798947,0.061653353,0.0012897743,0.040014695],"study_design_scores_gemma":[0.000097926815,0.0004937083,0.52321166,0.00007391896,0.00029657307,0.000571966,0.0007550953,0.37425303,0.0026649192,0.093330875,0.004157272,0.00009309809],"about_ca_topic_score_codex":0.0042896112,"about_ca_topic_score_gemma":0.0024388048,"teacher_disagreement_score":0.0042896112,"about_ca_system_score_codex":0.00064620515,"about_ca_system_score_gemma":0.00026567624,"threshold_uncertainty_score":0.01512897},"labels":[],"label_agreement":null},{"id":"W1547181583","doi":"","title":"Innovation and Productivity: Summary Results for Canadian Manufacturing Establishments","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Innovation, Science and Economic Development Canada","funders":"","keywords":"Lagging; Productivity; Human capital; Total factor productivity; Labour economics; Business; Economics; Survey data collection; Industrial organization; Economic growth","score_opus":0.07215597846513756,"score_gpt":0.2709952660027571,"score_spread":0.19883928753761954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547181583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8064143,0.011200064,0.0012329479,0.00069410156,0.00005571359,0.00016300737,0.16374427,0.00041299214,0.016082486],"genre_scores_gemma":[0.9317778,0.0052192993,0.0008590338,0.000092267495,0.000033419685,0.000047579153,0.052810926,0.00005905232,0.0091006635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983865,0.000097765565,0.00008383021,0.00021914064,0.0007597474,0.00045304312],"domain_scores_gemma":[0.9936785,0.00082726055,0.0007602987,0.00027929537,0.0037198,0.00073493505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019430435,0.0008536104,0.000826833,0.005085277,0.0012793405,0.0014546576,0.0013814009,0.00044288818,0.004369933],"category_scores_gemma":[0.0047119134,0.00033448165,0.0018613375,0.01296341,0.00054252875,0.0004869987,0.0009332694,0.0005866709,0.0008558921],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027951942,0.000062140636,0.95032996,0.00031887103,0.00053826853,0.00012163854,0.00048022435,0.0034336783,0.00019442049,0.00043150733,0.013519449,0.030290244],"study_design_scores_gemma":[0.0000113064425,0.0000275987,0.99594456,0.000020689384,0.00012873196,0.000021997706,0.00026185467,0.00065174035,0.00008260898,0.00003799906,0.0027930553,0.000017910448],"about_ca_topic_score_codex":0.9947632,"about_ca_topic_score_gemma":0.9958001,"teacher_disagreement_score":0.01986739,"about_ca_system_score_codex":0.01986739,"about_ca_system_score_gemma":0.022282254,"threshold_uncertainty_score":0.1441487},"labels":[],"label_agreement":null},{"id":"W1548575696","doi":"10.7202/029278ar","title":"The Rise of Service Employment in the Canadian Economy","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Service economy; Tertiary sector of the economy; Business; Labour economics; Goods and services; Economy; Economics; Marketing","score_opus":0.042294543572270485,"score_gpt":0.22221680077450062,"score_spread":0.17992225720223015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548575696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8891049,0.0056940103,0.0004995472,0.019230474,0.00015214235,0.00003657037,0.0045136386,0.00008410099,0.08068471],"genre_scores_gemma":[0.9862027,0.0035029815,0.00030777958,0.00057160505,0.000056995592,0.000005942998,0.00070423476,0.000016902792,0.008630756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849164,0.000050016904,0.000031342974,0.00006417363,0.0006410442,0.0007217132],"domain_scores_gemma":[0.9955889,0.00022414594,0.0003414377,0.000069456975,0.0028341878,0.00094186986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088012137,0.00025036692,0.00028853904,0.0050495593,0.0058496613,0.003231025,0.00093378837,0.0007903474,0.0054631024],"category_scores_gemma":[0.0045354078,0.00019734283,0.00036456817,0.010437012,0.001973547,0.0010957631,0.0013059493,0.0012004622,0.00039989603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072839845,0.00013751132,0.59087706,0.0005616755,0.00009293024,0.0018975666,0.019374693,0.004158429,0.0034501592,0.096252866,0.05568478,0.22678395],"study_design_scores_gemma":[0.00001229777,0.000028127763,0.89736646,0.00014204714,0.000020810727,0.0002125678,0.0106267985,0.0014238154,0.0004638086,0.0017113646,0.08794687,0.00004501015],"about_ca_topic_score_codex":0.9956067,"about_ca_topic_score_gemma":0.9978733,"teacher_disagreement_score":0.07375546,"about_ca_system_score_codex":0.07375546,"about_ca_system_score_gemma":0.05763233,"threshold_uncertainty_score":0.5351358},"labels":[],"label_agreement":null},{"id":"W1550456954","doi":"10.2139/ssrn.1918854","title":"Labour Productivity of Unincorporated Sole Proprietorships and Partnerships: Impact on the Canada-United States Productivity Gap","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Labour economics; Business; Economics; Demographic economics; Agricultural economics; Economic growth","score_opus":0.06753016487052686,"score_gpt":0.22285460550438022,"score_spread":0.15532444063385337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550456954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835474,0.0010053654,0.00008661019,0.0028722032,0.00003335702,0.000012027577,0.002736121,0.000018896608,0.009688026],"genre_scores_gemma":[0.9946577,0.00037777738,0.000032138705,0.00011695344,0.000010049085,0.0000044581534,0.00088890025,0.000005353729,0.0039066193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978835,0.00019615234,0.00004758018,0.00014058365,0.00046027912,0.0012719111],"domain_scores_gemma":[0.9885731,0.001757773,0.0013896837,0.00019570273,0.0033492222,0.0047346153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001498324,0.00023036962,0.0005743412,0.0020832068,0.00317986,0.0047759814,0.0013420805,0.0009790182,0.0061256806],"category_scores_gemma":[0.009613488,0.00017107867,0.0004887221,0.004742658,0.0013241085,0.001303913,0.0031725469,0.001549987,0.00050652656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009140724,0.00025962395,0.9301497,0.000073133,0.00010295679,0.00034308244,0.0029574456,0.0028316684,0.00036787317,0.014053145,0.011853453,0.036093883],"study_design_scores_gemma":[0.000040175357,0.000064062915,0.9768803,0.00007116674,0.00004693639,0.00005368843,0.012413078,0.0020855519,0.00031006898,0.001071374,0.0069445665,0.00001900778],"about_ca_topic_score_codex":0.97551185,"about_ca_topic_score_gemma":0.9855186,"teacher_disagreement_score":0.9712503,"about_ca_system_score_codex":0.028749676,"about_ca_system_score_gemma":0.05207477,"threshold_uncertainty_score":0.20859444},"labels":[],"label_agreement":null},{"id":"W1553188482","doi":"","title":"Impacts des dépenses en recherche et développement sur la fonction de production et l'efficience des entreprises canadiennes et américaines du secteur manufacturier","year":2007,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03480572209229999,"score_gpt":0.22779906410264705,"score_spread":0.19299334201034707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553188482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8603109,0.007038665,0.08088102,0.0020020735,0.00015099038,0.0003091198,0.003054781,0.00034034354,0.045912083],"genre_scores_gemma":[0.9551757,0.0052074627,0.019229235,0.00017466827,0.000018334804,0.00027331093,0.000837293,0.0000835153,0.019000478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9974988,0.0008496562,0.00010773421,0.00033773886,0.00090453884,0.0003014866],"domain_scores_gemma":[0.99512863,0.002963669,0.00056432944,0.0002955763,0.0009186128,0.0001291042],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003188863,0.0010125798,0.0007829872,0.0011580073,0.00057462184,0.0035399324,0.00068561645,0.0010140168,0.0053711087],"category_scores_gemma":[0.004340737,0.000583172,0.0016528921,0.0026966124,0.00084401923,0.0016662539,0.0012180232,0.0012115281,0.0006696507],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064255076,0.00041978867,0.09710828,0.0015361559,0.0006207279,0.00053795654,0.0012955755,0.7140653,0.017640678,0.026327755,0.0018278558,0.13797735],"study_design_scores_gemma":[0.00014880279,0.0030673519,0.3030483,0.0010499666,0.0013816458,0.00045771583,0.008638495,0.49596846,0.055949453,0.021951051,0.10791265,0.00042608104],"about_ca_topic_score_codex":0.05652345,"about_ca_topic_score_gemma":0.0706496,"teacher_disagreement_score":0.99681115,"about_ca_system_score_codex":0.005611558,"about_ca_system_score_gemma":0.0042959354,"threshold_uncertainty_score":0.11238885},"labels":[],"label_agreement":null},{"id":"W1553833957","doi":"","title":"Profitability of Canadian- Versus U.S.-controlled Enterprises","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Profit (economics); Business; Competition (biology); Market share; Order (exchange); Monetary economics; Economics; Industrial organization; Finance; Microeconomics","score_opus":0.06565540290064738,"score_gpt":0.30054973835436105,"score_spread":0.2348943354537137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553833957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98281026,0.000845254,0.00007591323,0.00021655737,0.00001836165,0.000010343923,0.0043441537,0.00002581488,0.011653186],"genre_scores_gemma":[0.99132806,0.00034122705,0.000050992163,0.000020524507,0.000009548579,0.0000021643402,0.0025070123,0.0000053996623,0.0057350104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927396,0.000028921466,0.00001741127,0.000113642775,0.00028414474,0.00028199106],"domain_scores_gemma":[0.9967771,0.00035577547,0.00064476515,0.000108768436,0.0014019636,0.0007116164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356997,0.0002797033,0.00030008488,0.00202267,0.0008138488,0.0023001025,0.0005200194,0.00043271127,0.0039725564],"category_scores_gemma":[0.002369697,0.00009463464,0.00045734647,0.0025366999,0.00058354845,0.0005272198,0.00044532074,0.00033697512,0.00045719428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035514806,0.00030742423,0.8715115,0.00024296122,0.0005228742,0.0006732877,0.0017784155,0.010156747,0.0075484584,0.0126045905,0.033175323,0.05792684],"study_design_scores_gemma":[0.00003386726,0.00012237432,0.98485017,0.000029584717,0.00009275662,0.00011472039,0.0015850011,0.0029058687,0.0020927093,0.00022317762,0.007906364,0.000043500655],"about_ca_topic_score_codex":0.9066666,"about_ca_topic_score_gemma":0.9384782,"teacher_disagreement_score":0.09333342,"about_ca_system_score_codex":0.013355607,"about_ca_system_score_gemma":0.009271749,"threshold_uncertainty_score":0.18776613},"labels":[],"label_agreement":null},{"id":"W1555118942","doi":"10.2139/ssrn.1406992","title":"Innovation Capabilities: Science and Engineering Employment in Canada and the United States","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Science and engineering; Political science; Engineering; Regional science; Engineering ethics; Geography","score_opus":0.006552846848006712,"score_gpt":0.1736276349800543,"score_spread":0.16707478813204757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555118942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780818,0.0024832853,0.00008484828,0.0031976048,0.000038263963,0.000019009245,0.0035490335,0.00001533901,0.0125308465],"genre_scores_gemma":[0.9930877,0.0010374335,0.000050705796,0.0001471231,0.000015097476,0.0000052633713,0.00091863103,0.000004625424,0.004733445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987067,0.000059363178,0.000040524625,0.00008816051,0.00044545467,0.00065975636],"domain_scores_gemma":[0.9943844,0.00070262654,0.0007360967,0.000055453333,0.0017565681,0.0023648865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009925157,0.0002591711,0.00047774636,0.004427852,0.0031957517,0.0037476593,0.0012826127,0.0010611129,0.0041022836],"category_scores_gemma":[0.0045895725,0.0001835702,0.0005527915,0.009098097,0.0016062396,0.0016547021,0.0023196142,0.0014803354,0.00028850738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022090322,0.0001885473,0.9421108,0.0000947123,0.00009293302,0.00039670483,0.004497937,0.0026050217,0.0001892822,0.0116157755,0.010404899,0.027582414],"study_design_scores_gemma":[0.000015505331,0.00003872293,0.97186285,0.00013022967,0.000050773066,0.00007456769,0.013336784,0.001961395,0.00020228968,0.0008830747,0.01141555,0.000028329787],"about_ca_topic_score_codex":0.9928093,"about_ca_topic_score_gemma":0.9973183,"teacher_disagreement_score":0.9604799,"about_ca_system_score_codex":0.039520066,"about_ca_system_score_gemma":0.065146506,"threshold_uncertainty_score":0.28673953},"labels":[],"label_agreement":null},{"id":"W1555181943","doi":"","title":"Effet de l'utilisation des technologies de pointe sur le rendement des entreprises du secteur canadien de la transformation des aliments","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Forestry; Geography; Art","score_opus":0.03450173938015292,"score_gpt":0.2627208829717278,"score_spread":0.22821914359157489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555181943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520285,0.0027381806,0.001982183,0.00039092035,0.000029435236,0.000029359344,0.00027257553,0.000028788463,0.009325777],"genre_scores_gemma":[0.9796602,0.002608349,0.0033048664,0.000107167776,0.000019422563,0.000035037683,0.00032980135,0.000026014315,0.013909125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975655,0.0008142132,0.00007797505,0.0004414793,0.0007351956,0.00036564353],"domain_scores_gemma":[0.9887108,0.0060113,0.0020756228,0.0006601951,0.0018640325,0.00067806814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027038532,0.00055507716,0.0005263732,0.00170359,0.00098655,0.003456244,0.0008574304,0.0012032293,0.0079510985],"category_scores_gemma":[0.005912176,0.00025928454,0.0009890364,0.00313033,0.0010268027,0.0016913055,0.0014965343,0.00066215766,0.0013175751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042405534,0.00068975694,0.504813,0.0016076579,0.00090294384,0.0015895645,0.0152193,0.012733242,0.10246172,0.008653063,0.0017379676,0.34535125],"study_design_scores_gemma":[0.000051502175,0.0018838127,0.8929724,0.00047233817,0.0005177364,0.00048369935,0.01469766,0.0024968225,0.037670285,0.0028094158,0.045848787,0.000095543175],"about_ca_topic_score_codex":0.025512649,"about_ca_topic_score_gemma":0.04205577,"teacher_disagreement_score":0.97448736,"about_ca_system_score_codex":0.0030669896,"about_ca_system_score_gemma":0.001128653,"threshold_uncertainty_score":0.05072826},"labels":[],"label_agreement":null},{"id":"W1557784934","doi":"","title":"Dynamique des entreprises : l'entrée et la sortie d'entreprises au Canada, 2000 à 2008","year":2012,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.019915815526693557,"score_gpt":0.21997752439663512,"score_spread":0.20006170886994157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557784934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542164,0.0069908993,0.0008190925,0.0014750754,0.000032471828,0.00005549807,0.021883609,0.00005719799,0.0144697195],"genre_scores_gemma":[0.9606018,0.005765072,0.0012902949,0.00018489912,0.000026342153,0.000034706707,0.00859142,0.000019803332,0.023485687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990446,0.00003291732,0.000036852398,0.00013636045,0.0005094799,0.00023977646],"domain_scores_gemma":[0.99503857,0.0005337755,0.001394493,0.0001329983,0.0022554544,0.00064476614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007278871,0.00039061837,0.00039048397,0.0049178437,0.0017951091,0.0025322372,0.00066611735,0.0003752334,0.0037904275],"category_scores_gemma":[0.0028075087,0.00025242608,0.0005580968,0.01178335,0.0009019231,0.0008197227,0.0010483739,0.0008000237,0.0003366972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019669389,0.00004677645,0.9177438,0.00025511606,0.00020273104,0.0002736012,0.00610616,0.0010205556,0.00079183734,0.004433508,0.0057289936,0.063200206],"study_design_scores_gemma":[0.0000040047644,0.000016834,0.97291857,0.00007733338,0.000050943912,0.00005406205,0.0031261828,0.0004507928,0.00039974344,0.00024306183,0.022640536,0.000018027207],"about_ca_topic_score_codex":0.9828404,"about_ca_topic_score_gemma":0.9919566,"teacher_disagreement_score":0.024407666,"about_ca_system_score_codex":0.024407666,"about_ca_system_score_gemma":0.034441877,"threshold_uncertainty_score":0.17709088},"labels":[],"label_agreement":null},{"id":"W1558602464","doi":"","title":"Les travailleurs du savoir sont-ils employes uniquement dans les industries des technologies de pointe?","year":2004,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.07931556273288923,"score_gpt":0.23935681618108,"score_spread":0.16004125344819078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558602464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548178,0.0045601088,0.0023329929,0.0046902555,0.00007551997,0.000025426094,0.00018026457,0.00002474716,0.03329301],"genre_scores_gemma":[0.97128457,0.0032252432,0.0012280884,0.00046686386,0.000034497127,0.000018448049,0.00012531436,0.00001695965,0.02359999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973048,0.00053887715,0.00006819536,0.0004177056,0.00074938574,0.0009210269],"domain_scores_gemma":[0.990941,0.0025259366,0.0022176798,0.00052557926,0.0023950806,0.0013947578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023379582,0.00023102993,0.0004510356,0.001392252,0.003870696,0.006294246,0.0007647244,0.0014348229,0.0042269886],"category_scores_gemma":[0.010627077,0.0002268337,0.0003024496,0.002733741,0.0021211798,0.002805403,0.0011999672,0.0010612792,0.00083597127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014897941,0.0001905612,0.58689016,0.00029793254,0.00011111924,0.00093112985,0.20137322,0.00042401062,0.0036822876,0.037419844,0.003786563,0.16474415],"study_design_scores_gemma":[0.0000140503635,0.0002012736,0.63283265,0.00059813756,0.000091931026,0.001016303,0.21900158,0.00063110876,0.0016161448,0.007087601,0.13681932,0.00008993249],"about_ca_topic_score_codex":0.43450305,"about_ca_topic_score_gemma":0.689331,"teacher_disagreement_score":0.43450305,"about_ca_system_score_codex":0.0054408233,"about_ca_system_score_gemma":0.009318417,"threshold_uncertainty_score":0.8639479},"labels":[],"label_agreement":null},{"id":"W1558756588","doi":"","title":"Une approche frontiere de la productivite multifactorielle au Canada et aux Etats-Unis","year":2003,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.019248817083977722,"score_gpt":0.22523811669665947,"score_spread":0.20598929961268175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558756588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03715986,0.0056998516,0.92121017,0.003483432,0.0001631675,0.00015554547,0.0010888746,0.0007367709,0.030302381],"genre_scores_gemma":[0.38462833,0.0056114006,0.5870038,0.00041368217,0.00011990622,0.0002905308,0.0007397871,0.0002474274,0.02094518],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979488,0.0005995906,0.000074045485,0.00039246245,0.00072286575,0.00026227182],"domain_scores_gemma":[0.996534,0.0014862485,0.00018211763,0.00025147456,0.0014652492,0.000080975755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036452713,0.0012794152,0.0010701225,0.004351822,0.0014739542,0.003679979,0.0014585298,0.0012425387,0.008878603],"category_scores_gemma":[0.007072416,0.00053980213,0.002295269,0.003962193,0.0011576887,0.0018303145,0.0014653717,0.0016937638,0.0010321091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001401105,0.000066036424,0.010693679,0.00048125614,0.0004480533,0.00038324887,0.0010227312,0.26766643,0.004126915,0.34644672,0.006588979,0.36193576],"study_design_scores_gemma":[0.00012437723,0.00013764834,0.02047192,0.00087465707,0.00043311718,0.00036116547,0.0012650111,0.6083815,0.003914472,0.2657321,0.09808429,0.00021976372],"about_ca_topic_score_codex":0.42091733,"about_ca_topic_score_gemma":0.44691485,"teacher_disagreement_score":0.57908267,"about_ca_system_score_codex":0.00912062,"about_ca_system_score_gemma":0.009973815,"threshold_uncertainty_score":0.8369346},"labels":[],"label_agreement":null},{"id":"W1559216935","doi":"10.2139/ssrn.316848","title":"The Importance of Entry to Canadian Manufacturing with an Appendix on Measurement Issues","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Appendix; Engineering; Manufacturing engineering; Geology","score_opus":0.026128968388821346,"score_gpt":0.20722525693228025,"score_spread":0.1810962885434589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559216935","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10007026,0.009064169,0.013665453,0.019212993,0.0036443463,0.0039163493,0.41798148,0.0008513953,0.43159357],"genre_scores_gemma":[0.4208027,0.0090057375,0.04104002,0.0040457547,0.0009854772,0.004087164,0.1666689,0.00034672543,0.35301745],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9961784,0.00036282436,0.00041446352,0.00025983923,0.0019992571,0.0007853001],"domain_scores_gemma":[0.9769974,0.00699752,0.001601345,0.0006172395,0.013106381,0.0006801563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002093969,0.00070577237,0.00057635293,0.008402816,0.0036329387,0.0022684464,0.001502272,0.0011065033,0.061640166],"category_scores_gemma":[0.018657899,0.0003136329,0.00093336,0.017600471,0.00073677005,0.0010854815,0.0008510432,0.0013689395,0.005423354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021266447,0.00034996343,0.050944183,0.0013565837,0.00005815076,0.0005839604,0.00146046,0.0028491092,0.00081967056,0.090796866,0.70653796,0.14403039],"study_design_scores_gemma":[0.000084802494,0.00015203693,0.42351243,0.00065312855,0.000100106416,0.00021949301,0.001976726,0.0021995914,0.00334266,0.011305206,0.55624235,0.00021139561],"about_ca_topic_score_codex":0.91970843,"about_ca_topic_score_gemma":0.9508807,"teacher_disagreement_score":0.08029157,"about_ca_system_score_codex":0.019446233,"about_ca_system_score_gemma":0.025629953,"threshold_uncertainty_score":0.20620692},"labels":[],"label_agreement":null},{"id":"W1559414564","doi":"10.7202/601214ar","title":"Des observations empiriques encourageantes pour la théorie dualiste","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Philosophy","score_opus":0.08535001129817495,"score_gpt":0.2602416737069962,"score_spread":0.17489166240882126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559414564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13425648,0.020524085,0.74596465,0.021308612,0.0009744714,0.00014037092,0.0010610948,0.00020004936,0.075570285],"genre_scores_gemma":[0.79082954,0.021384679,0.16146502,0.002845976,0.0014963873,0.00037098405,0.0013514368,0.00022575022,0.020030303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9918379,0.0038454938,0.00034846194,0.0014695154,0.0021917995,0.00030688054],"domain_scores_gemma":[0.8929639,0.089917086,0.0027342062,0.007879709,0.0058955257,0.0006096889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01983348,0.0014358398,0.001498919,0.0036562558,0.001674004,0.0052551934,0.0022226402,0.0021572115,0.010066243],"category_scores_gemma":[0.088022105,0.0011531481,0.002058624,0.0039460813,0.0054277466,0.0069734734,0.003281543,0.008364155,0.0019561064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039808708,0.0004061348,0.018089037,0.0010132369,0.00046288472,0.00035233027,0.0020283812,0.03538793,0.0023409578,0.83602273,0.0043926667,0.09910564],"study_design_scores_gemma":[0.00016920062,0.0002139398,0.013717419,0.0009008035,0.00031003033,0.00039761333,0.0013861535,0.09780796,0.004828729,0.8246779,0.05545114,0.0001390685],"about_ca_topic_score_codex":0.015617669,"about_ca_topic_score_gemma":0.011686503,"teacher_disagreement_score":0.01983348,"about_ca_system_score_codex":0.0040955683,"about_ca_system_score_gemma":0.0031207113,"threshold_uncertainty_score":0.104890704},"labels":[],"label_agreement":null},{"id":"W1561325272","doi":"10.2139/ssrn.756371","title":"The Flow Approach to Labor Markets: New Data Sources, Micro-Macro Links and the Recent Downturn","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Unemployment; Business cycle; Recession; Economics; Great recession; Unemployment rate; Macro; Job creation; Geography; Macroeconomics","score_opus":0.018849096607468172,"score_gpt":0.21501308829898347,"score_spread":0.1961639916915153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561325272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4870979,0.011457153,0.26618958,0.02197227,0.001276934,0.0008243594,0.15895918,0.0017500219,0.050472572],"genre_scores_gemma":[0.830826,0.0056522586,0.09010536,0.0015211521,0.0016953768,0.0014911194,0.057340957,0.0003928166,0.0109749995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969897,0.0016398162,0.00033756005,0.00031169518,0.0005298151,0.00019138557],"domain_scores_gemma":[0.9833241,0.00995813,0.0022807205,0.0020120994,0.0018981579,0.0005267343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072663506,0.00035599511,0.0005397247,0.010054437,0.00076222094,0.004099524,0.0010067262,0.00092976535,0.006029134],"category_scores_gemma":[0.026737064,0.00033376177,0.00060703245,0.012161202,0.0006503946,0.0048042983,0.0020000935,0.0013695733,0.0010189086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006670796,0.0004217981,0.5170106,0.0005435531,0.00045234596,0.00018855237,0.002564653,0.010937567,0.00050080544,0.108685896,0.07327282,0.28475422],"study_design_scores_gemma":[0.00033894405,0.00033584342,0.45320886,0.0010455388,0.0005813764,0.00030030182,0.003904753,0.08399935,0.0018710425,0.23017481,0.2239984,0.00024077785],"about_ca_topic_score_codex":0.018247006,"about_ca_topic_score_gemma":0.012624253,"teacher_disagreement_score":0.018247006,"about_ca_system_score_codex":0.0009887632,"about_ca_system_score_gemma":0.001680877,"threshold_uncertainty_score":0.038428605},"labels":[],"label_agreement":null},{"id":"W1561607182","doi":"","title":"Roulement des entreprises et croissance de la productivite dans certaines industries de services au Canada, 2000 a 2007","year":2011,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03832331136333301,"score_gpt":0.2819942917148488,"score_spread":0.2436709803515158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561607182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779447,0.0018964756,0.00094125886,0.00045921048,0.000012280597,0.000037782378,0.0070681726,0.00006192915,0.011578234],"genre_scores_gemma":[0.9619123,0.0020948418,0.0017275665,0.000090491085,0.0000093889985,0.00002414609,0.004752213,0.00002255532,0.029366503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914694,0.00002344084,0.000019598952,0.00011781564,0.0004992243,0.00019294169],"domain_scores_gemma":[0.9968129,0.0003415694,0.0005451997,0.00006526498,0.0017854925,0.0004495711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005190782,0.00034904273,0.00021878,0.0032727912,0.0014768626,0.001865053,0.00059494417,0.0003511096,0.003286477],"category_scores_gemma":[0.0021581016,0.00021386593,0.00037237152,0.00483148,0.0010091936,0.0005408917,0.00058277114,0.0006754897,0.00036080083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006825847,0.00014848085,0.7914525,0.00029482457,0.000114722985,0.00057057873,0.0065638046,0.0038935423,0.006303128,0.00659761,0.00828243,0.17509557],"study_design_scores_gemma":[0.00000677582,0.00006455192,0.96748054,0.00004769015,0.000030230995,0.00008938775,0.002537793,0.0012885155,0.0023528088,0.00018507711,0.025894271,0.000022337626],"about_ca_topic_score_codex":0.9764273,"about_ca_topic_score_gemma":0.9893523,"teacher_disagreement_score":0.028476635,"about_ca_system_score_codex":0.028476635,"about_ca_system_score_gemma":0.026501903,"threshold_uncertainty_score":0.20661342},"labels":[],"label_agreement":null},{"id":"W1564025091","doi":"","title":"Productivity Drivers in British Columbia: Strategic Areas for Improvement","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Investment (military); Product market; Competition (biology); Business; Product (mathematics); Foreign direct investment; Order (exchange); Immigration; Emigration; Economic growth; Economics; Market economy; Finance; Political science","score_opus":0.05845979414011767,"score_gpt":0.2758127572520943,"score_spread":0.21735296311197663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564025091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6817919,0.052571733,0.0047225347,0.09636049,0.00091308204,0.0002463681,0.037469063,0.0013933186,0.124531545],"genre_scores_gemma":[0.9376796,0.018963363,0.0047852607,0.0023957605,0.00011945718,0.0001131286,0.009153464,0.00017322207,0.026616694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983352,0.00016695113,0.00011117153,0.00014661018,0.0005251004,0.0007150565],"domain_scores_gemma":[0.9898732,0.00085175387,0.00043174296,0.00020866549,0.0072464696,0.0013881061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021100773,0.00076313264,0.0007415621,0.007147505,0.002409063,0.005102023,0.0015046757,0.00072150194,0.00806174],"category_scores_gemma":[0.006348065,0.00028035635,0.00046863218,0.0220284,0.00091249717,0.001649407,0.001225037,0.0012587563,0.0013647896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027500984,0.00017808625,0.46424562,0.0013914017,0.00022082512,0.0007957142,0.003114132,0.0038021835,0.0016301129,0.011827346,0.118453786,0.39406592],"study_design_scores_gemma":[0.000014828374,0.00004672797,0.920877,0.00051458675,0.00005811349,0.00009325372,0.0089886,0.0023012506,0.00050722377,0.0017904893,0.06471283,0.000095205505],"about_ca_topic_score_codex":0.97790056,"about_ca_topic_score_gemma":0.9820726,"teacher_disagreement_score":0.041850574,"about_ca_system_score_codex":0.041850574,"about_ca_system_score_gemma":0.067696095,"threshold_uncertainty_score":0.3036486},"labels":[],"label_agreement":null},{"id":"W1564142627","doi":"10.7202/050184ar","title":"A Microeconometric Analysis of the Effects of Strikes on Wages","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Economics; Political science; Philosophy","score_opus":0.01861243559796381,"score_gpt":0.21049055036941647,"score_spread":0.19187811477145267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564142627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918241,0.00037779484,0.0007654736,0.00027730517,0.000013698275,0.000019370867,0.0012592982,0.000016564469,0.0054463767],"genre_scores_gemma":[0.9969318,0.00029916235,0.00020163208,0.00002619764,0.000031380616,0.000009350005,0.00084692566,0.000003766886,0.0016498225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999569,0.0001639223,0.000029441548,0.000042226275,0.00012796988,0.00006738505],"domain_scores_gemma":[0.9916487,0.005164713,0.0022134457,0.0003279984,0.00030799702,0.00033718973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007844906,0.00012671032,0.00031707349,0.0019555106,0.000305616,0.0010150437,0.00022104618,0.0003972824,0.004680787],"category_scores_gemma":[0.0067508253,0.00014639526,0.0003767537,0.0044983733,0.0002510673,0.00046700565,0.0003374474,0.0007071394,0.00083168905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013272231,0.0007878947,0.91565394,0.00018498937,0.00041367524,0.0005688935,0.0006672278,0.02043665,0.0032665585,0.011281492,0.0034095615,0.042001896],"study_design_scores_gemma":[0.000017986247,0.0001282212,0.988644,0.0000070318238,0.0000330068,0.00007034236,0.0003248307,0.0070456155,0.00037729312,0.0015413244,0.0017989354,0.000011390832],"about_ca_topic_score_codex":0.0065212664,"about_ca_topic_score_gemma":0.012208794,"teacher_disagreement_score":0.0065212664,"about_ca_system_score_codex":0.00063056336,"about_ca_system_score_gemma":0.0003105347,"threshold_uncertainty_score":0.015658796},"labels":[],"label_agreement":null},{"id":"W1564633924","doi":"","title":"Decline in Self-financing Capacity in 2001 Due to the Economic Downturn","year":2002,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Index (typography); Economics; Quarter (Canadian coin); Recession; Business; Finance; Monetary economics; Agricultural economics; Labour economics; Macroeconomics; Geography","score_opus":0.0429539011345488,"score_gpt":0.20938653468764745,"score_spread":0.16643263355309865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564633924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94784033,0.0039607193,0.0010244878,0.005496067,0.0001786947,0.000045098226,0.0044457726,0.00010919461,0.03689967],"genre_scores_gemma":[0.97854596,0.0019861658,0.0004708694,0.00051416113,0.000103064565,0.000046408346,0.0053883293,0.00003650767,0.012908425],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989802,0.00008116772,0.00007387868,0.00014789333,0.0002609859,0.0004558582],"domain_scores_gemma":[0.9975434,0.00021901344,0.0009464932,0.00008436162,0.00072803686,0.00047876412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018967558,0.00030233458,0.00032577605,0.0020195136,0.00039461907,0.002104227,0.0005579208,0.0011784368,0.0070879133],"category_scores_gemma":[0.0058341967,0.0002244827,0.0003688863,0.0015573967,0.000310886,0.001453739,0.0011448468,0.0011065444,0.0027087322],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010842305,0.00034094352,0.3997912,0.0005234907,0.00013189585,0.0022628186,0.0042314706,0.007604574,0.006004842,0.03487063,0.069048986,0.47410482],"study_design_scores_gemma":[0.000046529458,0.00016885097,0.8259616,0.00031439782,0.000024460445,0.0009805716,0.0009459486,0.0028851673,0.0021844793,0.0019831338,0.16447297,0.00003185908],"about_ca_topic_score_codex":0.0069716615,"about_ca_topic_score_gemma":0.0036082116,"teacher_disagreement_score":0.0070879133,"about_ca_system_score_codex":0.0027144742,"about_ca_system_score_gemma":0.0008631845,"threshold_uncertainty_score":0.023711443},"labels":[],"label_agreement":null},{"id":"W1564830859","doi":"","title":"L'evolution des obstacles aux echanges et les entreprises canadiennes : survie et disparition apres l'Accord de libre-echange entre le Canada et les Etats-Unis","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.05543707511938598,"score_gpt":0.2770372009341036,"score_spread":0.22160012581471764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564830859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9358323,0.0016263876,0.0059390534,0.0025795156,0.000026814929,0.00008821143,0.0029350678,0.00012342432,0.050849266],"genre_scores_gemma":[0.9790542,0.0006337591,0.0008279718,0.00011395067,0.0000057145166,0.000036604746,0.00061647163,0.00001830275,0.018692972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982881,0.00018132894,0.000035427413,0.00020479201,0.00060223474,0.000688057],"domain_scores_gemma":[0.9956181,0.0011676265,0.0010629266,0.00022117817,0.0013450139,0.0005851426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001360115,0.00033381206,0.00050539395,0.0014760471,0.0017369922,0.0036994608,0.00095540367,0.00082422415,0.009358521],"category_scores_gemma":[0.0049986546,0.0002511959,0.0006869363,0.0030673207,0.0013247398,0.0011180254,0.001244468,0.001243625,0.0005514517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045868478,0.00014205245,0.6985679,0.00024805477,0.0003989533,0.00070816214,0.0056377533,0.11825678,0.0025566965,0.085823596,0.0067022354,0.08049905],"study_design_scores_gemma":[0.0000478159,0.0002500259,0.81878036,0.00027734714,0.00031503648,0.00023795378,0.01703038,0.052161433,0.0031451385,0.01766774,0.089916244,0.00017062158],"about_ca_topic_score_codex":0.86259085,"about_ca_topic_score_gemma":0.90039,"teacher_disagreement_score":0.13740915,"about_ca_system_score_codex":0.021307549,"about_ca_system_score_gemma":0.017200198,"threshold_uncertainty_score":0.27643675},"labels":[],"label_agreement":null},{"id":"W1565474485","doi":"","title":"Niveaux relatifs de productivite multifactorielle au Canada et aux Etats-Unis: une analyse sectorielle","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04193273365890285,"score_gpt":0.28701135560562285,"score_spread":0.24507862194672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565474485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631946,0.0039571137,0.004575634,0.00065102585,0.000031345644,0.00009762934,0.013101912,0.00021227039,0.014178581],"genre_scores_gemma":[0.98392266,0.0012433148,0.002697671,0.00009482561,0.00001171355,0.000072581795,0.004458923,0.00005433347,0.0074438923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981616,0.00018951026,0.00008237883,0.00033787737,0.00065162586,0.00057704374],"domain_scores_gemma":[0.99404055,0.0013423788,0.0008203657,0.00032211855,0.0028622737,0.00061232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014522356,0.0006202597,0.00072061346,0.0040066345,0.0012923589,0.0023749832,0.0008418775,0.0004223726,0.0051701046],"category_scores_gemma":[0.004668939,0.00028997418,0.0014287864,0.00998861,0.00078068953,0.0007654265,0.0012763725,0.00078807055,0.00049647066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017851302,0.000029694711,0.96280646,0.00015651199,0.0005678932,0.00010604796,0.001907394,0.0029974584,0.0008998934,0.0027490936,0.0015393834,0.02606177],"study_design_scores_gemma":[0.000004868508,0.000029102213,0.98990065,0.000060639526,0.00011715438,0.00003319972,0.0015940212,0.0018422966,0.0003021496,0.00032515614,0.00577076,0.000019889792],"about_ca_topic_score_codex":0.95561713,"about_ca_topic_score_gemma":0.95568377,"teacher_disagreement_score":0.04438287,"about_ca_system_score_codex":0.015396935,"about_ca_system_score_gemma":0.022746762,"threshold_uncertainty_score":0.11171311},"labels":[],"label_agreement":null},{"id":"W1565711265","doi":"10.2139/ssrn.1019119","title":"A Description and Analysis of Evolving Data Resources on Small Business","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workers Compensation Board of British Columbia","funders":"","keywords":"Business; Data science; Computer science; Process management; Knowledge management","score_opus":0.04668764105669977,"score_gpt":0.23362420640986434,"score_spread":0.18693656535316455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565711265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07529896,0.0017338576,0.8064073,0.003541756,0.00027398064,0.0023608443,0.07869279,0.016735965,0.0149546005],"genre_scores_gemma":[0.17901419,0.0016212566,0.7368221,0.00053276645,0.0002150657,0.001967421,0.0692392,0.0030689014,0.0075190035],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9892781,0.0027155092,0.0016365928,0.0012718512,0.0045462213,0.0005516381],"domain_scores_gemma":[0.9154655,0.045259777,0.0029776983,0.023086537,0.01184668,0.0013637935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013118629,0.00082251575,0.0010834412,0.01323308,0.0013510353,0.0070708557,0.002810407,0.0013145731,0.008411399],"category_scores_gemma":[0.08683672,0.0012163249,0.0018786569,0.021476006,0.001069542,0.007288649,0.0029814807,0.0024608523,0.0047296933],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008683387,0.0005217381,0.05746724,0.0013355749,0.00036196478,0.0015451927,0.0016028038,0.053136956,0.012668579,0.13379858,0.070950724,0.6657423],"study_design_scores_gemma":[0.00025724978,0.0003406719,0.060718857,0.0007384679,0.00030588085,0.0022827764,0.0016443218,0.4551985,0.050456546,0.112415954,0.31519282,0.00044805254],"about_ca_topic_score_codex":0.016370906,"about_ca_topic_score_gemma":0.0082798,"teacher_disagreement_score":0.016370906,"about_ca_system_score_codex":0.0024073208,"about_ca_system_score_gemma":0.003644581,"threshold_uncertainty_score":0.06937873},"labels":[],"label_agreement":null},{"id":"W1566375313","doi":"","title":"Effet des innovations organisationnelles et des technologies de l'information sur le rendement des entreprises","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.05497502661222869,"score_gpt":0.2815060291592516,"score_spread":0.2265310025470229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566375313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618989,0.0061634947,0.005380589,0.0026526183,0.00021325803,0.000048385114,0.0006147624,0.000089792644,0.022938166],"genre_scores_gemma":[0.9759329,0.0048165563,0.0027135923,0.0002820456,0.00015284271,0.000041691525,0.00032117433,0.00003473704,0.015704446],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982869,0.00055538473,0.0000869702,0.0002300444,0.0006204781,0.0002202184],"domain_scores_gemma":[0.9579642,0.036025237,0.0029666214,0.00097499625,0.0013996444,0.0006693218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021843652,0.0005214372,0.0005451412,0.0011652746,0.00057672634,0.0033170623,0.00037120777,0.0021772305,0.012908151],"category_scores_gemma":[0.014720167,0.00019357422,0.00072150055,0.0011590072,0.0007516107,0.0015935184,0.00072487723,0.0010950456,0.001342539],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009533235,0.0038123722,0.26617062,0.0035398852,0.00160381,0.0032080498,0.00382312,0.061445378,0.099800654,0.08819025,0.013437764,0.4454349],"study_design_scores_gemma":[0.0010551886,0.007697668,0.5628846,0.00077559217,0.0030068588,0.0026438725,0.0054754084,0.06088097,0.18004143,0.09029529,0.08479581,0.0004472776],"about_ca_topic_score_codex":0.0032243072,"about_ca_topic_score_gemma":0.0033782271,"teacher_disagreement_score":0.012908151,"about_ca_system_score_codex":0.0011239167,"about_ca_system_score_gemma":0.0005792825,"threshold_uncertainty_score":0.043182075},"labels":[],"label_agreement":null},{"id":"W1567319969","doi":"10.2139/ssrn.1864161","title":"Small, Medium-Sized and Large Businesses in the Canadian Economy: Measuring their Contribution to Gross Domestic Product in 2005","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Gross domestic product; Business; Gross domestic income; Product (mathematics); Commerce; International trade; Economics; Economy; Market economy; Macroeconomics; Gross income; Mathematics","score_opus":0.03534940299127061,"score_gpt":0.2061060020497566,"score_spread":0.170756599058486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567319969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512357,0.0021154487,0.00031397943,0.0010135167,0.000038665883,0.000045708643,0.033787444,0.00005274506,0.01139684],"genre_scores_gemma":[0.98315215,0.0012740707,0.00045356035,0.00008819433,0.00001158725,0.0000126604455,0.007846414,0.000007001204,0.007154449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999383,0.000026988673,0.000032551638,0.000055138546,0.00032670237,0.00017567068],"domain_scores_gemma":[0.99647,0.00018568915,0.0004495133,0.000055592798,0.0021115765,0.0007276708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006928916,0.0003818006,0.00021495965,0.0032158317,0.0015473651,0.0014427375,0.00084669515,0.00033654974,0.0014092964],"category_scores_gemma":[0.0035314115,0.0001677666,0.00037667254,0.0063860426,0.00055466994,0.000588498,0.0007403158,0.0005869256,0.00026293882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001457123,0.000057192345,0.96008354,0.00010942517,0.000082755905,0.00012487883,0.0015034166,0.0017233033,0.00032610644,0.0015519081,0.012206871,0.022084814],"study_design_scores_gemma":[0.0000020719065,0.000009878482,0.9907142,0.000021903228,0.000020996198,0.00002136774,0.0011684435,0.00061937666,0.00023213528,0.000053320688,0.007123997,0.000012312578],"about_ca_topic_score_codex":0.9956481,"about_ca_topic_score_gemma":0.9984665,"teacher_disagreement_score":0.037922364,"about_ca_system_score_codex":0.037922364,"about_ca_system_score_gemma":0.03739885,"threshold_uncertainty_score":0.27514732},"labels":[],"label_agreement":null},{"id":"W1567556048","doi":"","title":"Qui assure la formation? Les industries de haute technologie ou les etablissements de haute technologie?","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.0777561128109263,"score_gpt":0.31992105864312215,"score_spread":0.24216494583219583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567556048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8388489,0.016164476,0.009844534,0.035075165,0.0003518958,0.00015713647,0.0005285031,0.00010722062,0.098922156],"genre_scores_gemma":[0.97163004,0.0068414714,0.0030992508,0.0013847541,0.00016403518,0.000074485084,0.0001793659,0.000020598054,0.016606087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963888,0.0010592687,0.00019375511,0.000558606,0.0008567943,0.0009429215],"domain_scores_gemma":[0.98906296,0.0032644211,0.003704745,0.0005849475,0.0016526817,0.0017302274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038860212,0.00033378915,0.00045504188,0.0025443728,0.0026476951,0.007776948,0.0007967588,0.0019228589,0.013480528],"category_scores_gemma":[0.011932205,0.00036599018,0.00050078554,0.0034403137,0.0035616562,0.007087514,0.0026602496,0.001411951,0.0021096417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023425579,0.000365943,0.4208239,0.001488669,0.000108211854,0.001152468,0.07115896,0.0007187555,0.0054782806,0.13245188,0.008516049,0.35750264],"study_design_scores_gemma":[0.000025581054,0.0003309407,0.55352503,0.0017085277,0.000088429326,0.0011524849,0.12152189,0.0007875046,0.0032511363,0.03136198,0.2861606,0.00008597364],"about_ca_topic_score_codex":0.019616172,"about_ca_topic_score_gemma":0.02002034,"teacher_disagreement_score":0.019616172,"about_ca_system_score_codex":0.003277556,"about_ca_system_score_gemma":0.005521266,"threshold_uncertainty_score":0.045096815},"labels":[],"label_agreement":null},{"id":"W1567752995","doi":"10.1057/palgrave.jibs.8400183","title":"Trade liberalization, profitability, and financial leverage","year":2006,"lang":"en","type":"article","venue":"Journal of International Business Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Leverage (statistics); Profitability index; Pecking order theory; Capital structure; Business; Free trade; Monetary economics; International economics; Economics; Liberalization; Finance; Market economy; Debt","score_opus":0.035264265170354206,"score_gpt":0.25060763059656205,"score_spread":0.21534336542620786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567752995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990549,0.0016035251,0.00016838752,0.0009360354,0.000013883546,0.000004482649,0.00012447558,0.000008507197,0.0065916255],"genre_scores_gemma":[0.9992581,0.0002931201,0.00001890582,0.00003571213,0.000037204787,0.0000011025778,0.00006145532,0.0000012501104,0.00029310558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968493,0.00009740493,0.000027043778,0.000035082263,0.00005300017,0.00010256838],"domain_scores_gemma":[0.9781542,0.011178324,0.007433778,0.00049283693,0.0005070883,0.0022337348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012532311,0.00020068474,0.00027858315,0.0012031914,0.000401091,0.0021654777,0.00027006867,0.0012064346,0.005067328],"category_scores_gemma":[0.009598766,0.000111267706,0.00036236044,0.0019361805,0.0014600675,0.0014942489,0.0008722408,0.001433169,0.0003423478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003966859,0.00030061178,0.9772011,0.00002683305,0.00012717467,0.0005340404,0.00023310946,0.0021982735,0.00040287615,0.0058163046,0.0009070187,0.011856036],"study_design_scores_gemma":[0.00002999451,0.00012711654,0.9795696,0.00003960114,0.0001239244,0.000407705,0.00089452195,0.0034072953,0.00023550136,0.013739287,0.0014082532,0.000017215136],"about_ca_topic_score_codex":0.0031741578,"about_ca_topic_score_gemma":0.0047709118,"teacher_disagreement_score":0.005067328,"about_ca_system_score_codex":0.0006319161,"about_ca_system_score_gemma":0.000601244,"threshold_uncertainty_score":0.016951859},"labels":[],"label_agreement":null},{"id":"W1568357284","doi":"10.2139/ssrn.1402752","title":"Impact of Advanced Technology Use on Firm Performance in the Canadian Food Processing Sector","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Business; Food processing; Food sector; Industrial organization; Marketing; Political science; Geography; Agriculture; Law","score_opus":0.020204564761041776,"score_gpt":0.2243477565343892,"score_spread":0.20414319177334744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568357284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950598,0.0004892957,0.000033062046,0.0004342718,0.000005502139,0.000008608874,0.0005610017,0.000007883713,0.0034005763],"genre_scores_gemma":[0.9980227,0.00025818095,0.000019777652,0.000026477364,0.000006226027,0.0000014764381,0.00028633678,0.0000014575055,0.0013775082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868506,0.00011551937,0.000045599798,0.00010876327,0.0003954858,0.0006495577],"domain_scores_gemma":[0.9912437,0.0019214319,0.0019553115,0.00019539426,0.002507925,0.0021762834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139484,0.0002884546,0.00027839674,0.0017685589,0.00112064,0.0025300786,0.0008016943,0.0010170513,0.0039384235],"category_scores_gemma":[0.0066154804,0.00012769159,0.00047664696,0.002930101,0.0011679188,0.00076796935,0.0009861173,0.0009977401,0.0003918432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008130169,0.00034702383,0.95867693,0.00008548729,0.00012705248,0.00045888431,0.00093048357,0.0059278915,0.0014956514,0.001726582,0.001937006,0.027474057],"study_design_scores_gemma":[0.000008474796,0.000077373516,0.996673,0.000014335801,0.000031007443,0.000020748575,0.0009103982,0.0010143163,0.00025354585,0.00009531066,0.0008903115,0.000011354556],"about_ca_topic_score_codex":0.9485315,"about_ca_topic_score_gemma":0.9720263,"teacher_disagreement_score":0.05146849,"about_ca_system_score_codex":0.022829076,"about_ca_system_score_gemma":0.01866192,"threshold_uncertainty_score":0.16563731},"labels":[],"label_agreement":null},{"id":"W1570040690","doi":"10.3917/hori.007.0030","title":"Le profit contre la croissance ?","year":2008,"lang":"fr","type":"article","venue":"Horizons stratégiques","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.027629471430982683,"score_gpt":0.22578173875144492,"score_spread":0.19815226732046223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570040690","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16388348,0.013779645,0.009839903,0.049059313,0.0007401434,0.00007609878,0.00062305137,0.00016221793,0.7618361],"genre_scores_gemma":[0.833588,0.0050692847,0.0006820979,0.0015955997,0.00051024795,0.000031011965,0.00016602935,0.00005459977,0.1583031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882346,0.00022192347,0.000043598666,0.0001952351,0.00039025728,0.00032542367],"domain_scores_gemma":[0.9975706,0.0008416591,0.0005176396,0.00015689315,0.0005732497,0.00033995224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015394636,0.00038566795,0.00039771857,0.0010935278,0.0013687825,0.0067625283,0.00070303585,0.0017738425,0.042155094],"category_scores_gemma":[0.0061725946,0.00018744482,0.00043159,0.0011553322,0.00363721,0.0035753557,0.0022717966,0.002897457,0.004781574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001907251,0.000077968565,0.00951019,0.00023919369,0.000045152035,0.00044719898,0.0018184491,0.003818861,0.000713215,0.8947671,0.01646098,0.07191091],"study_design_scores_gemma":[0.00006702155,0.00022485848,0.0297078,0.0009134211,0.00005894585,0.0006924339,0.005652885,0.004532359,0.0017054719,0.4775954,0.4787738,0.00007568783],"about_ca_topic_score_codex":0.011037764,"about_ca_topic_score_gemma":0.008195314,"teacher_disagreement_score":0.042155094,"about_ca_system_score_codex":0.0048133302,"about_ca_system_score_gemma":0.0035748545,"threshold_uncertainty_score":0.1410228},"labels":[],"label_agreement":null},{"id":"W1570484028","doi":"","title":"Learning from Failure: Organizational Mortality and the Resource-based View","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Business; Resource (disambiguation); Business failure; Finance","score_opus":0.05397746051360318,"score_gpt":0.27628779167614265,"score_spread":0.22231033116253945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570484028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7986867,0.012549894,0.032747097,0.054407258,0.00031695972,0.000056194887,0.0005226271,0.0001046943,0.10060853],"genre_scores_gemma":[0.99544275,0.0015473684,0.00029242257,0.0006371048,0.00022995278,0.000010833632,0.00005835453,0.000009895198,0.0017712958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896276,0.00032513586,0.00003240294,0.00013157679,0.00020418638,0.00034385335],"domain_scores_gemma":[0.98863435,0.005149851,0.002223605,0.00097514974,0.0008831421,0.002133861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029468464,0.0002751991,0.00043507075,0.0021148026,0.0013937484,0.002562746,0.0010565851,0.0014681428,0.0059607974],"category_scores_gemma":[0.012005037,0.00015166713,0.00042996503,0.0009825071,0.006503943,0.0043227794,0.0022324785,0.0022617113,0.00043059405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020658142,0.00027299658,0.3196856,0.00019315546,0.00018567378,0.0010621545,0.008376376,0.008453207,0.0005133112,0.46916625,0.0072725886,0.18461215],"study_design_scores_gemma":[0.000039118055,0.00020182939,0.28560948,0.00028240497,0.00007895962,0.00073009735,0.00466739,0.0046221158,0.00023814676,0.6873348,0.01613318,0.00006245172],"about_ca_topic_score_codex":0.0058247624,"about_ca_topic_score_gemma":0.004968967,"teacher_disagreement_score":0.0059607974,"about_ca_system_score_codex":0.0017882761,"about_ca_system_score_gemma":0.0012501266,"threshold_uncertainty_score":0.019940853},"labels":[],"label_agreement":null},{"id":"W1572491869","doi":"","title":"Reductions tarifaires et emploi dans le secteur de la fabrication au Canada, 1988 a 1994","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.024825280211686132,"score_gpt":0.2781028833876239,"score_spread":0.2532776031759378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572491869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856619,0.0011497039,0.00041138838,0.00027577893,0.000009219848,0.000048031037,0.0022419419,0.000031451284,0.010170616],"genre_scores_gemma":[0.9566289,0.0021909578,0.0016608138,0.00017444322,0.000008955429,0.000057938527,0.0021422533,0.000016148377,0.037119504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991173,0.000051698047,0.000018978535,0.00010431458,0.00043152578,0.00027621968],"domain_scores_gemma":[0.9985746,0.00017055897,0.00038609293,0.000044239943,0.00061850325,0.0002059825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059544086,0.00035399297,0.00027186362,0.0014338625,0.0022633323,0.0011853775,0.00073927455,0.00033573416,0.0036155668],"category_scores_gemma":[0.0013830536,0.00026979638,0.0003554393,0.0024596762,0.000850795,0.00024186913,0.0005598857,0.0005872961,0.0002450291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013372409,0.0002993518,0.7698411,0.00045717633,0.00029267572,0.0009822692,0.014728394,0.004238814,0.017354798,0.0050739995,0.006129003,0.1792651],"study_design_scores_gemma":[0.000011569049,0.00011097081,0.9709465,0.000040394312,0.000048243237,0.000059806116,0.0037229229,0.00043303665,0.0026469347,0.0001043468,0.021858392,0.000016857559],"about_ca_topic_score_codex":0.97655743,"about_ca_topic_score_gemma":0.99352646,"teacher_disagreement_score":0.026108189,"about_ca_system_score_codex":0.026108189,"about_ca_system_score_gemma":0.026842127,"threshold_uncertainty_score":0.18942904},"labels":[],"label_agreement":null},{"id":"W1574350268","doi":"","title":"Liaisons globales : multinationales, propriete etrangere et croissance de la productivite dans le secteur canadien de la fabrication","year":2005,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.012996352439218331,"score_gpt":0.23845411737753489,"score_spread":0.22545776493831654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574350268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6894673,0.0084774215,0.0048416806,0.0045908773,0.0001411719,0.000091931885,0.00041958736,0.00014023461,0.29182976],"genre_scores_gemma":[0.94490963,0.0028868986,0.001516745,0.00046529062,0.00004145777,0.000055270622,0.00019223573,0.00004438223,0.049888093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983954,0.0004078861,0.000052157615,0.00036442073,0.0004460518,0.00033404454],"domain_scores_gemma":[0.9962393,0.00085700647,0.0010733274,0.00024336934,0.0011014806,0.00048540987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029300426,0.00039207897,0.0002502185,0.0014735052,0.002011121,0.004608406,0.00044737814,0.0006420601,0.01576623],"category_scores_gemma":[0.0026683917,0.000174711,0.0002966526,0.0028725294,0.0017225796,0.0024853223,0.002120537,0.00093880895,0.0010955218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004366482,0.00028475357,0.41663578,0.0015132512,0.00023057804,0.0025125474,0.071983136,0.0039088815,0.016702335,0.12833461,0.012300126,0.3451574],"study_design_scores_gemma":[0.000019233146,0.00042256672,0.5169717,0.00073854194,0.0001567848,0.0007403066,0.07986876,0.0008869005,0.0047402806,0.009250705,0.38609177,0.000112452944],"about_ca_topic_score_codex":0.028737076,"about_ca_topic_score_gemma":0.048418295,"teacher_disagreement_score":0.97126293,"about_ca_system_score_codex":0.0045263474,"about_ca_system_score_gemma":0.0029899876,"threshold_uncertainty_score":0.057139575},"labels":[],"label_agreement":null},{"id":"W1577211168","doi":"","title":"ACCELERATING TECHNOLOGY COMMERCIALIZATION IN CANADA: THE ROLE OF MEDIUM-SIZED FIRMS","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Commercialization; Lagging; Pace; Business; Industrial organization; Empirical evidence; Work (physics); Marketing; Economics; Engineering","score_opus":0.020801925173903564,"score_gpt":0.21050871451555117,"score_spread":0.1897067893416476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577211168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80565345,0.019966342,0.00094302127,0.034248047,0.0000837199,0.00008965052,0.000967192,0.00005401529,0.13799457],"genre_scores_gemma":[0.9885893,0.0059388615,0.000374689,0.0004708183,0.000016926884,0.0000056182153,0.0001434271,0.000005740378,0.004454635],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980457,0.00014167874,0.000041196083,0.000120393466,0.0007867384,0.0008643186],"domain_scores_gemma":[0.9885388,0.002918902,0.0012639038,0.00017538892,0.004423844,0.0026792055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018016368,0.00021203228,0.0002878908,0.0027539125,0.004355294,0.0055051036,0.00073458126,0.000644651,0.0037720215],"category_scores_gemma":[0.008663658,0.00013270642,0.00033093677,0.0040979167,0.0022585876,0.0015835455,0.0016410383,0.0013131966,0.00015462618],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004856066,0.00019617612,0.5845966,0.0007433317,0.00017254497,0.002286029,0.01221739,0.0035452058,0.0013830602,0.15633826,0.028659118,0.20937668],"study_design_scores_gemma":[0.00004794304,0.00011365547,0.870549,0.00079349347,0.00019537426,0.00035029658,0.023644673,0.0045688907,0.0016689515,0.009445512,0.08852046,0.0001016345],"about_ca_topic_score_codex":0.9821675,"about_ca_topic_score_gemma":0.9897967,"teacher_disagreement_score":0.93246824,"about_ca_system_score_codex":0.067531765,"about_ca_system_score_gemma":0.09498559,"threshold_uncertainty_score":0.48997957},"labels":[],"label_agreement":null},{"id":"W1579727598","doi":"","title":"Head Office Employment in Canada, 1999 to 2005","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Head (geology); Business; Labour economics; Demographic economics; Economics; Geography","score_opus":0.01106877075468121,"score_gpt":0.20684557724600355,"score_spread":0.19577680649132234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579727598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77788126,0.009027633,0.0005651296,0.0033599304,0.00021854197,0.00014046892,0.17237577,0.0003250405,0.03610612],"genre_scores_gemma":[0.9103808,0.005110997,0.0009372235,0.00065039605,0.00007016771,0.00004852192,0.046423588,0.000042393556,0.036336027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989312,0.00001665582,0.000042345106,0.00008932559,0.0005301892,0.00039025006],"domain_scores_gemma":[0.99638593,0.000069066344,0.00050657906,0.00003680266,0.002280294,0.0007212702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042522114,0.0004084352,0.00044296694,0.0044231233,0.0025381602,0.0018214448,0.0011021674,0.0003752552,0.0034546168],"category_scores_gemma":[0.0021396119,0.00021200399,0.00042307333,0.009427753,0.00043640012,0.0006177574,0.0008413126,0.0007569914,0.0006107085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047153316,0.00012788486,0.7956661,0.00055120187,0.00016562428,0.0006456623,0.0033569494,0.0015272656,0.0006803145,0.0025176127,0.07966399,0.11462585],"study_design_scores_gemma":[0.000009394312,0.000024797899,0.94957876,0.000087520246,0.000030792748,0.0000933645,0.0016224906,0.0005428695,0.0002995441,0.000050565814,0.047637116,0.000022781496],"about_ca_topic_score_codex":0.9976941,"about_ca_topic_score_gemma":0.9987841,"teacher_disagreement_score":0.05559312,"about_ca_system_score_codex":0.05559312,"about_ca_system_score_gemma":0.055585347,"threshold_uncertainty_score":0.40335816},"labels":[],"label_agreement":null},{"id":"W1579938449","doi":"","title":"Taille de l'usine, nationalite et changement de propriete","year":2010,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.050008853426953055,"score_gpt":0.31236687393314877,"score_spread":0.2623580205061957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579938449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.911728,0.0021698745,0.0060083126,0.0013760058,0.00005845785,0.00005433055,0.001369639,0.0001244163,0.07711095],"genre_scores_gemma":[0.9734572,0.0008619361,0.0014926583,0.00014124544,0.000025111316,0.00005398474,0.00057837716,0.000027097227,0.02336245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986401,0.00030584767,0.00008156804,0.0002642971,0.0005015224,0.00020668436],"domain_scores_gemma":[0.98835003,0.005658143,0.0030077985,0.00075599784,0.0015373954,0.0006905182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002126879,0.000263346,0.0003997392,0.0011135229,0.00058014976,0.0023969624,0.0004508149,0.0006618394,0.015692398],"category_scores_gemma":[0.0067994,0.00016730701,0.0005767351,0.0017535132,0.00079994026,0.0017311282,0.0012794829,0.0010135416,0.0011343046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012399112,0.00053391984,0.6788555,0.0007723552,0.0006947409,0.00047527772,0.0066322526,0.021088045,0.008673051,0.06954666,0.005203173,0.206285],"study_design_scores_gemma":[0.000030471085,0.00072187575,0.9258327,0.0002445901,0.00023699434,0.00023854896,0.005024087,0.005800277,0.0053433767,0.012301181,0.044138882,0.00008703606],"about_ca_topic_score_codex":0.014851316,"about_ca_topic_score_gemma":0.019417264,"teacher_disagreement_score":0.015692398,"about_ca_system_score_codex":0.0016847108,"about_ca_system_score_gemma":0.0012901089,"threshold_uncertainty_score":0.052496254},"labels":[],"label_agreement":null},{"id":"W1580683016","doi":"","title":"Modelo de inversi¢n basado en la ecuaci¢n de Euler con l¡mite m ximo de endeudamiento: evidencia emp¡rica internacional","year":2004,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Investment (military); Inversion (geology); Humanities; Welfare economics; Geography; Economics; Political science; Mathematics; Economy; Physics; Geology; Finance; Geomorphology; Philosophy","score_opus":0.04256653019266827,"score_gpt":0.30498461929754356,"score_spread":0.2624180891048753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580683016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65831864,0.002678608,0.3065023,0.0032108587,0.00013359313,0.00006213534,0.00072359503,0.00027912282,0.028091162],"genre_scores_gemma":[0.9604856,0.002131262,0.008177455,0.00017681267,0.00007467018,0.00007158458,0.00046258257,0.000071505434,0.028348546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99958044,0.0001585685,0.000017912174,0.00011640472,0.000041371808,0.00008532716],"domain_scores_gemma":[0.9974579,0.0015095733,0.00054248236,0.0001513393,0.00015961734,0.00017913926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015239213,0.0007764561,0.0010083108,0.00071526924,0.00031179757,0.0019046374,0.0013190743,0.0011932112,0.0067140344],"category_scores_gemma":[0.0055386014,0.00050891103,0.001334507,0.0009276877,0.0014672972,0.0022930086,0.0011887363,0.0018709396,0.00061117427],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008225057,0.00005145244,0.019220416,0.00013266905,0.00014517181,0.00050872087,0.0004953863,0.70806724,0.00087076763,0.25621492,0.0018281424,0.012382785],"study_design_scores_gemma":[0.000033205393,0.000054420678,0.005616653,0.00005472112,0.00008754098,0.00011846892,0.00016125069,0.88830745,0.00018530712,0.10213912,0.0032011606,0.000040675488],"about_ca_topic_score_codex":0.019814277,"about_ca_topic_score_gemma":0.008062655,"teacher_disagreement_score":0.019814277,"about_ca_system_score_codex":0.0011320297,"about_ca_system_score_gemma":0.0011366144,"threshold_uncertainty_score":0.039397895},"labels":[],"label_agreement":null},{"id":"W1580727430","doi":"10.7202/028397ar","title":"Employment Impact of Fringe Benefits in Canadian Manufacturing Sector : 1957-1965","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overtime; Economic shortage; Factory (object-oriented programming); Labour economics; Manufacturing sector; Turnover; Business; Economics; Operations management; Computer science","score_opus":0.04509539696394618,"score_gpt":0.23625192384051674,"score_spread":0.19115652687657056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580727430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97731817,0.0029960037,0.00014342659,0.0007915702,0.000035311823,0.000018910827,0.008213017,0.000020655132,0.010462976],"genre_scores_gemma":[0.9911411,0.0012159368,0.00011692803,0.00004099607,0.000014938865,0.0000029217138,0.0020632274,0.000003816285,0.0054002227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959034,0.000013372594,0.000011870625,0.000028172908,0.00014020754,0.00021590487],"domain_scores_gemma":[0.9988242,0.00009883026,0.00012522253,0.000024313262,0.0006360241,0.00029136057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030806274,0.0001758086,0.0001775302,0.0017519672,0.0013420703,0.0008125744,0.0004470518,0.00023158063,0.0034166588],"category_scores_gemma":[0.0013782628,0.00010093706,0.00025423008,0.0024094505,0.0005160519,0.00024445014,0.0004609511,0.0004975264,0.00023789915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008274343,0.00014272309,0.84958106,0.0003205924,0.00012443021,0.00074064004,0.0030164858,0.008136982,0.0015300239,0.0069935895,0.011424972,0.11716106],"study_design_scores_gemma":[0.0000053487297,0.000021020938,0.98598796,0.0000273093,0.000019646735,0.000035177134,0.0007583801,0.000615345,0.00033603332,0.0000766302,0.012106317,0.00001087345],"about_ca_topic_score_codex":0.99319154,"about_ca_topic_score_gemma":0.99763584,"teacher_disagreement_score":0.0368484,"about_ca_system_score_codex":0.0368484,"about_ca_system_score_gemma":0.019653134,"threshold_uncertainty_score":0.26735508},"labels":[],"label_agreement":null},{"id":"W1581412021","doi":"","title":"Dynamique des entreprises: taux de croissance de l'emploi dans les petites et grandes entreprises au Canada","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03905899832162809,"score_gpt":0.2819244971702863,"score_spread":0.24286549884865818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581412021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874834,0.0014181492,0.0006579668,0.00062892615,0.000008474482,0.000020495898,0.0036669371,0.000022105225,0.006093532],"genre_scores_gemma":[0.9879771,0.0011113082,0.00047683812,0.000054134445,0.000008539906,0.000015014611,0.0015268689,0.000008743541,0.008821384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929976,0.000038632246,0.000019873054,0.00013233064,0.00028674063,0.00022264887],"domain_scores_gemma":[0.9948035,0.00096440426,0.0012905813,0.00019170654,0.0018548728,0.0008948808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008504438,0.00026488636,0.00039794706,0.0025369013,0.0017560316,0.0020412053,0.0006612313,0.00042380474,0.0044061583],"category_scores_gemma":[0.0037221615,0.0002474305,0.0004309519,0.004468251,0.0009555294,0.00066622527,0.000933622,0.0009953172,0.00039284443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011185549,0.000039498496,0.96055317,0.000064901855,0.000088976696,0.00014396277,0.005645761,0.0009903376,0.0005890742,0.0024781567,0.0016629775,0.027631376],"study_design_scores_gemma":[0.000002136326,0.0000147408155,0.9923051,0.000029928786,0.000022949798,0.000028025408,0.0021907408,0.000620137,0.0002341594,0.00018130743,0.0043577827,0.000012893083],"about_ca_topic_score_codex":0.9719211,"about_ca_topic_score_gemma":0.9831982,"teacher_disagreement_score":0.028078914,"about_ca_system_score_codex":0.013237476,"about_ca_system_score_gemma":0.019088715,"threshold_uncertainty_score":0.09604508},"labels":[],"label_agreement":null},{"id":"W1582822273","doi":"","title":"Capacité d'innovation des petites et moyennes entreprises et contribution des organisations intermédiaires dans l'industrie des logiciels d'application multimédia à Montréal","year":2011,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.025716538095683396,"score_gpt":0.1897020696960655,"score_spread":0.16398553160038212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582822273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8167152,0.0011440912,0.005845668,0.0013929971,0.0000170148,0.00018876308,0.000581215,0.000101901445,0.17401311],"genre_scores_gemma":[0.9615872,0.00062751025,0.0021719215,0.000048433965,0.000009033657,0.00008226553,0.00020203908,0.000024578352,0.03524693],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99711883,0.00046861585,0.000087755565,0.0004070978,0.0013346466,0.00058308453],"domain_scores_gemma":[0.98933357,0.0036053106,0.0010637268,0.00052799156,0.0037347414,0.0017347418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032370845,0.0005091784,0.00040554997,0.0031380935,0.0027891488,0.008653418,0.001245492,0.0009723559,0.025260217],"category_scores_gemma":[0.01302212,0.00042703058,0.0005827042,0.0031179222,0.0014870705,0.0028461423,0.0027523574,0.000758416,0.0017314069],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051507464,0.00058406644,0.46263057,0.00090215757,0.00022833033,0.0009638982,0.029516144,0.021373762,0.010323923,0.16581225,0.008889213,0.29826066],"study_design_scores_gemma":[0.000060889477,0.00034037328,0.8025403,0.00046473581,0.00027843242,0.00039081756,0.027071614,0.044520643,0.005269588,0.01919388,0.099671006,0.00019769624],"about_ca_topic_score_codex":0.46829712,"about_ca_topic_score_gemma":0.46007025,"teacher_disagreement_score":0.5317029,"about_ca_system_score_codex":0.018305551,"about_ca_system_score_gemma":0.017706525,"threshold_uncertainty_score":0.9311427},"labels":[],"label_agreement":null},{"id":"W1583319636","doi":"","title":"Roulement des entreprises et croissance de la productivité dans le secteur canadien du commerce de détail","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.037426091089123856,"score_gpt":0.2821619353557724,"score_spread":0.24473584426664852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583319636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9042091,0.0053328057,0.0041812607,0.00039337174,0.00005787698,0.00007508648,0.00038801687,0.000062237115,0.08530021],"genre_scores_gemma":[0.9398432,0.0029946014,0.0043909387,0.00018684326,0.000027439923,0.000044043965,0.00046537232,0.00004783632,0.0519998],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991603,0.00011887746,0.000020645672,0.00019996536,0.00034721693,0.00015311535],"domain_scores_gemma":[0.998524,0.00038135154,0.00035127765,0.00014867523,0.00043880907,0.00015602054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010014098,0.0003966612,0.00024650016,0.0014288396,0.0014463409,0.0032831687,0.00047821383,0.00073398685,0.012734381],"category_scores_gemma":[0.0014827937,0.00025968906,0.0005842597,0.0018756249,0.0012080801,0.0019091417,0.0009435226,0.0007474975,0.0015890101],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015445235,0.00042811912,0.31521046,0.0029089274,0.00035827435,0.004644361,0.07727907,0.004686627,0.13664085,0.053675726,0.005399058,0.39722392],"study_design_scores_gemma":[0.000018820308,0.00058621593,0.677964,0.0005863898,0.00019529744,0.0016521417,0.04511007,0.0014262563,0.018470282,0.0051128007,0.2487332,0.00014459545],"about_ca_topic_score_codex":0.023441045,"about_ca_topic_score_gemma":0.045811277,"teacher_disagreement_score":0.976559,"about_ca_system_score_codex":0.002503437,"about_ca_system_score_gemma":0.0012134844,"threshold_uncertainty_score":0.046609223},"labels":[],"label_agreement":null},{"id":"W1584517850","doi":"","title":"Capacites d'innovation: l'emploi en sciences et en genie au Canada et aux Etats-Unis","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.050949351021725,"score_gpt":0.31846951845793386,"score_spread":0.2675201674362089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584517850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8248027,0.003390627,0.0015667093,0.007927553,0.00012448245,0.0001740169,0.0018956786,0.00015630461,0.159962],"genre_scores_gemma":[0.9532717,0.0020123613,0.00079757546,0.00053623336,0.000030375053,0.00008253938,0.0005488258,0.000048434325,0.042671993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99008685,0.0009721722,0.0002146902,0.0005840645,0.0041494616,0.0039927675],"domain_scores_gemma":[0.9746621,0.0034938639,0.0017334356,0.00066837925,0.010678113,0.008764069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004892379,0.0005319501,0.0007331836,0.005241548,0.009170029,0.008998809,0.0013341055,0.0010087312,0.010756076],"category_scores_gemma":[0.011536673,0.00032371812,0.00071217754,0.008543559,0.0047566197,0.0023290517,0.005630623,0.0020022886,0.0010809072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035077325,0.00027647987,0.51370907,0.00068307214,0.00024648014,0.0004891378,0.15613605,0.0024246036,0.0012905014,0.06728761,0.024209356,0.23289688],"study_design_scores_gemma":[0.000016580825,0.00008504142,0.76733273,0.00046059233,0.00007589456,0.00008696866,0.09278981,0.00091556757,0.00048200617,0.00325336,0.13440788,0.00009369279],"about_ca_topic_score_codex":0.9467279,"about_ca_topic_score_gemma":0.96743673,"teacher_disagreement_score":0.9169466,"about_ca_system_score_codex":0.08305343,"about_ca_system_score_gemma":0.14649123,"threshold_uncertainty_score":0.60259765},"labels":[],"label_agreement":null},{"id":"W1585578420","doi":"","title":"Dessaisissements et acquisitions d'usines dans le secteur canadien de la fabrication","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.0290919227809868,"score_gpt":0.29761091510589605,"score_spread":0.2685189923249092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585578420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960626,0.0021625792,0.0016791753,0.00044738158,0.000025152078,0.000024260922,0.00039659505,0.000029756586,0.034609005],"genre_scores_gemma":[0.9682246,0.0012142691,0.0015753009,0.000053883585,0.000022909084,0.000024882522,0.00038550879,0.00001560718,0.028483085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855226,0.00023439057,0.000059971004,0.0002357019,0.00058594375,0.00033179435],"domain_scores_gemma":[0.9928658,0.002272042,0.0026349034,0.000380843,0.001145695,0.0007006896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433825,0.00027521377,0.00025359678,0.0031217914,0.0017898916,0.0024339338,0.00044057265,0.0005618693,0.009319192],"category_scores_gemma":[0.0059636375,0.00019561911,0.00036741229,0.004836125,0.0013405795,0.001759246,0.0015166973,0.000827835,0.00088918954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035762278,0.00013059205,0.6417269,0.0002295847,0.000100578094,0.0021707134,0.038494058,0.002956269,0.006199322,0.072830305,0.0033005117,0.23150355],"study_design_scores_gemma":[0.0000075208736,0.00014269803,0.901843,0.00010329596,0.000042029995,0.0012599684,0.011105728,0.0010585842,0.0028997324,0.0041584014,0.07732743,0.00005163727],"about_ca_topic_score_codex":0.03783076,"about_ca_topic_score_gemma":0.079350114,"teacher_disagreement_score":0.96216923,"about_ca_system_score_codex":0.0035970993,"about_ca_system_score_gemma":0.0019030028,"threshold_uncertainty_score":0.07522112},"labels":[],"label_agreement":null},{"id":"W1586769399","doi":"","title":"Rentabilite des entreprises sous controle canadien par rapport aux entreprises sous controle americain","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03792320413380702,"score_gpt":0.2774907438993088,"score_spread":0.23956753976550177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586769399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99166065,0.00068587245,0.0001614311,0.00016440905,0.000007385474,0.00001567584,0.00078806764,0.0000061058745,0.0065104994],"genre_scores_gemma":[0.98999584,0.00056454673,0.00017245505,0.000041283998,0.000004951201,0.000011793901,0.0007044522,0.0000029862679,0.008501722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962914,0.000027200822,0.000008969965,0.00010155151,0.00010321142,0.00012998386],"domain_scores_gemma":[0.99923563,0.000115428506,0.00024479345,0.000039858245,0.00022068093,0.00014360283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032050905,0.00026365576,0.0004137821,0.0008267644,0.0009883308,0.0011336214,0.00029299044,0.00021951238,0.0043456736],"category_scores_gemma":[0.0009258813,0.000094018054,0.00030748645,0.0016327945,0.00045309067,0.00037529366,0.0004605374,0.00039679263,0.00026343364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060663815,0.0001692375,0.9415518,0.00011618453,0.0002967473,0.00037734254,0.0054748384,0.0014616892,0.00522554,0.004513889,0.001790607,0.038415525],"study_design_scores_gemma":[0.000007552128,0.000093292314,0.98644465,0.000015578224,0.000066667024,0.000043622764,0.0030615025,0.0005094498,0.0007905351,0.00019515122,0.008759414,0.000012533785],"about_ca_topic_score_codex":0.789197,"about_ca_topic_score_gemma":0.8915583,"teacher_disagreement_score":0.9947007,"about_ca_system_score_codex":0.0052993405,"about_ca_system_score_gemma":0.004418425,"threshold_uncertainty_score":0.42408884},"labels":[],"label_agreement":null},{"id":"W1590173878","doi":"10.3386/w17793","title":"Why are Some Regions More Innovative than Others? The Role of Firm Size Diversity","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Diversity (politics); Business; Economic geography; Geography; Psychology; Political science; Law","score_opus":0.3453288076550232,"score_gpt":0.4190337540984773,"score_spread":0.0737049464434541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590173878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97644,0.002764215,0.0024818715,0.0036716014,0.000039026592,0.00003114954,0.0005951713,0.00004715436,0.013929808],"genre_scores_gemma":[0.9984047,0.0003498635,0.00042006627,0.00028909164,0.000037748425,0.0000084956355,0.0000952359,0.000008274621,0.0003865387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816954,0.0004206315,0.0000726679,0.0006605404,0.00026131357,0.00041520403],"domain_scores_gemma":[0.98398054,0.00620375,0.005849868,0.00094423245,0.0013906665,0.0016309436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028157777,0.00016849395,0.0006832572,0.0015306852,0.0009355663,0.0025002658,0.00058712537,0.0007131644,0.0051777847],"category_scores_gemma":[0.013018591,0.0001723752,0.0006966548,0.0024087422,0.0018916685,0.0020248552,0.0013584773,0.0008046063,0.0006936378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029022255,0.00009217041,0.91610104,0.0003492226,0.00058821565,0.0005120393,0.003081955,0.0021277468,0.006108341,0.013126983,0.0030392245,0.054582797],"study_design_scores_gemma":[0.000054291133,0.00013956375,0.9782617,0.00009838733,0.0002603021,0.00041738898,0.0043870895,0.00067278836,0.0014709168,0.008162951,0.0060478146,0.000026758162],"about_ca_topic_score_codex":0.006553673,"about_ca_topic_score_gemma":0.011706888,"teacher_disagreement_score":0.006553673,"about_ca_system_score_codex":0.0009176067,"about_ca_system_score_gemma":0.0006711243,"threshold_uncertainty_score":0.017321467},"labels":[],"label_agreement":null},{"id":"W1590221683","doi":"","title":"Changements observes au niveau de la diversification des entreprises du secteur canadien de la fabrication (de 1973 a 1997)","year":2002,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.052367860944080434,"score_gpt":0.276107753882333,"score_spread":0.22373989293825255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590221683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573524,0.0017146261,0.0003244624,0.00012597852,0.000009910584,0.000012265792,0.0028227782,0.000012263079,0.0092425095],"genre_scores_gemma":[0.9763981,0.0017787685,0.00053368194,0.00007627698,0.00002951019,0.000031507283,0.003962653,0.000008644167,0.017180812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994998,0.00005277335,0.000017967426,0.000103302744,0.00018142632,0.0001446254],"domain_scores_gemma":[0.9955487,0.0008299067,0.0015987658,0.00018257233,0.0014047045,0.00043545314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008972996,0.00033667777,0.0002558444,0.0031575477,0.0008372224,0.0011084419,0.00032985574,0.0005158652,0.004271582],"category_scores_gemma":[0.0023045256,0.00015538605,0.0003714348,0.0045785843,0.0005391766,0.00055396225,0.00070338167,0.0005013929,0.0009880051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000320037,0.00005516483,0.92500716,0.00012070096,0.000107576256,0.0004138728,0.0068242406,0.0007528588,0.005336174,0.0015924075,0.0018099018,0.057659898],"study_design_scores_gemma":[0.000001293274,0.00003322888,0.99006456,0.000014954509,0.000008161957,0.00006232995,0.0009444261,0.000051434054,0.00076883874,0.0000726264,0.007972643,0.000005520308],"about_ca_topic_score_codex":0.09546301,"about_ca_topic_score_gemma":0.15410861,"teacher_disagreement_score":0.90453696,"about_ca_system_score_codex":0.0025810269,"about_ca_system_score_gemma":0.0011282278,"threshold_uncertainty_score":0.18981469},"labels":[],"label_agreement":null},{"id":"W1592393053","doi":"","title":"Financial, Gender and Continuity Issues in Regional Small Business: Management and Policy Implications Derived from Canadian and New Zealand Survey Evidence","year":2010,"lang":"en","type":"article","venue":"FedUni ResearchOnline (Federation University Australia)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Creditor; Politics; Small business; Business; Globalization; Distribution (mathematics); Urbanization; Management styles; Finance; Economic growth; Economics; Political science; Market economy; Debt; Management","score_opus":0.20427526313239144,"score_gpt":0.3200738711372491,"score_spread":0.11579860800485767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592393053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821092,0.0030858933,0.00016687669,0.0034179555,0.000016699234,0.000028307133,0.00090987206,0.0000026256016,0.01026255],"genre_scores_gemma":[0.9980592,0.00096694846,0.00008962743,0.00014242632,0.0000130139715,0.000008489498,0.00020301306,0.0000012860937,0.0005160345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982305,0.0003641745,0.00012516005,0.00022460632,0.0005916121,0.00046382216],"domain_scores_gemma":[0.98696184,0.0033414045,0.005372208,0.00043495095,0.0021267086,0.0017628329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037425747,0.0001378309,0.00025663205,0.0024076116,0.0013185154,0.0012444438,0.0006771865,0.00035306596,0.0043434314],"category_scores_gemma":[0.01482462,0.00014968375,0.0002964355,0.004259784,0.0022647174,0.0013604759,0.00112329,0.0005292025,0.00012958597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007416423,0.00002206217,0.97725266,0.000102970276,0.000029447703,0.00014196894,0.005624692,0.00005507461,0.00007765506,0.0012799738,0.0006843239,0.014654987],"study_design_scores_gemma":[0.0000031042746,0.000010903552,0.9913669,0.00006592021,0.000015531812,0.000037563066,0.0069859074,0.00004856398,0.000030345815,0.00017601185,0.0012551594,0.000004156701],"about_ca_topic_score_codex":0.77179873,"about_ca_topic_score_gemma":0.84119344,"teacher_disagreement_score":0.22820127,"about_ca_system_score_codex":0.004661942,"about_ca_system_score_gemma":0.0055121332,"threshold_uncertainty_score":0.45909035},"labels":[],"label_agreement":null},{"id":"W1594570208","doi":"","title":"La turbulence au sommet : l'industrie canadienne de logiciels","year":2007,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01864709021337895,"score_gpt":0.1926787037935897,"score_spread":0.17403161358021074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594570208","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62153316,0.009829843,0.031420097,0.028582819,0.0005162409,0.00012094747,0.0017611093,0.00062471436,0.30561098],"genre_scores_gemma":[0.9392783,0.004033773,0.007652502,0.0012833838,0.000114216804,0.00007530114,0.00096644013,0.00022585207,0.04637024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99590814,0.0007740938,0.00019310617,0.000567844,0.0021141588,0.00044253247],"domain_scores_gemma":[0.98632866,0.0071301213,0.0014130876,0.0011528175,0.0032139998,0.0007612585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032271484,0.00040557515,0.0004477403,0.003039749,0.0036127488,0.011868254,0.00073947496,0.0011919882,0.017514562],"category_scores_gemma":[0.022438375,0.0007115995,0.0007107496,0.007876226,0.004806743,0.011974541,0.0027933512,0.0031306336,0.0025437218],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006360925,0.00016921113,0.11698283,0.0009378871,0.00014952509,0.001418106,0.12671314,0.005815122,0.0059274486,0.4502108,0.03046361,0.26057622],"study_design_scores_gemma":[0.000046087254,0.00013333996,0.19306996,0.00080088415,0.000075594086,0.0006274595,0.072565034,0.006856119,0.0025723912,0.085353225,0.6376939,0.00020605826],"about_ca_topic_score_codex":0.18689741,"about_ca_topic_score_gemma":0.17168558,"teacher_disagreement_score":0.98803264,"about_ca_system_score_codex":0.011967355,"about_ca_system_score_gemma":0.008159369,"threshold_uncertainty_score":0.37161905},"labels":[],"label_agreement":null},{"id":"W1595212436","doi":"10.19030/iber.v14i3.9217","title":"On The Growth Process Of Firms: Does Size Matter?","year":2015,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Process (computing); Disadvantage; Econometrics; Empirical research; Economics; Industrial organization; Business; Mathematics; Statistics; Computer science","score_opus":0.08742097571401297,"score_gpt":0.3214536356288268,"score_spread":0.2340326599148138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595212436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888109,0.0011727674,0.0019172591,0.0014560686,0.000019490008,0.000027432106,0.00059448177,0.000027361302,0.0059743263],"genre_scores_gemma":[0.99865,0.00026216693,0.000159673,0.00007424634,0.000026302174,0.0000052797845,0.00029008577,0.000009883579,0.0005223404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838054,0.0005261679,0.00009257756,0.00034130216,0.00040252574,0.0002568197],"domain_scores_gemma":[0.9247907,0.055591606,0.012330222,0.0024945007,0.0024680926,0.0023248445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034077712,0.00023748647,0.0005959873,0.0011634418,0.00046886475,0.001151354,0.00070820196,0.000834673,0.0032395828],"category_scores_gemma":[0.033759292,0.00011983385,0.0006174978,0.0023993123,0.0018741917,0.001883678,0.0008792899,0.00086379296,0.000618347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020732182,0.000047694706,0.97778314,0.000052853073,0.00011204746,0.00032063265,0.00046144138,0.0020962679,0.0004816115,0.0026043856,0.000476412,0.015356156],"study_design_scores_gemma":[0.000011100066,0.00011270744,0.99105704,0.000029084242,0.00006451962,0.00013119419,0.0006144423,0.0037884866,0.00025284846,0.002692487,0.0012315966,0.000014465664],"about_ca_topic_score_codex":0.054470036,"about_ca_topic_score_gemma":0.057023957,"teacher_disagreement_score":0.054470036,"about_ca_system_score_codex":0.0013622922,"about_ca_system_score_gemma":0.0015226904,"threshold_uncertainty_score":0.10830599},"labels":[],"label_agreement":null},{"id":"W1595940216","doi":"","title":"L'industrie canadienne des services funeraires dans les annees 90","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Remuneration; Political science; Art","score_opus":0.056813943127257405,"score_gpt":0.2733155166252165,"score_spread":0.21650157349795912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595940216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60478383,0.030807126,0.0038680658,0.010512217,0.0010523215,0.00018037039,0.00391091,0.00015652465,0.34472862],"genre_scores_gemma":[0.6207917,0.018863231,0.0037948266,0.00072294724,0.00028789797,0.0002524619,0.0023062422,0.00011790242,0.3528629],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99864966,0.00020618351,0.000051661038,0.00017929293,0.00048948015,0.00042372776],"domain_scores_gemma":[0.99778,0.0006703778,0.00033057923,0.00006494857,0.0006035676,0.0005506059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013228152,0.00044491104,0.000369014,0.003178621,0.002881573,0.0039968444,0.00035424178,0.0012882776,0.022634236],"category_scores_gemma":[0.0040553124,0.00026725465,0.0005606624,0.0053802845,0.0011151709,0.0015976067,0.0013552732,0.0019218618,0.0036307164],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007393519,0.00032221893,0.11563013,0.0009791869,0.00006838796,0.0027302916,0.050132155,0.0030111677,0.0048231753,0.16032347,0.03895325,0.6222872],"study_design_scores_gemma":[0.000018309649,0.00011449437,0.19489977,0.00039259542,0.000014293865,0.0009735993,0.008054245,0.000308426,0.00090086,0.0024652749,0.79181814,0.000039846713],"about_ca_topic_score_codex":0.17323658,"about_ca_topic_score_gemma":0.20723334,"teacher_disagreement_score":0.8267634,"about_ca_system_score_codex":0.006671194,"about_ca_system_score_gemma":0.0067979475,"threshold_uncertainty_score":0.34445643},"labels":[],"label_agreement":null},{"id":"W1596280701","doi":"","title":"Is Working for a Start-up Worth It? Evidence from the Semiconductor Industry","year":2007,"lang":"en","type":"article","venue":"Industry Studies Working Papers (University of Pittsburgh)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alfred P. Sloan Foundation","keywords":"Earnings; Quarter (Canadian coin); Risk aversion (psychology); Sample (material); Charter; Labour economics; Variance (accounting); Demographic economics; Unemployment; Business; Work (physics); Value (mathematics); Actuarial science; Economics; Finance; Accounting; Expected utility hypothesis; Economic growth; Political science","score_opus":0.20858260430228817,"score_gpt":0.2848386065009417,"score_spread":0.07625600219865356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596280701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718636,0.0006160723,0.00007386807,0.0005138707,0.000005389668,0.000004142333,0.00021204661,0.0000016310029,0.0013866468],"genre_scores_gemma":[0.9979486,0.00073917524,0.000040669333,0.000094485746,0.000012609963,0.0000022522338,0.00037822098,0.0000011995461,0.0007828043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995957,0.00007858196,0.00002255724,0.00009377461,0.00007945489,0.00012995735],"domain_scores_gemma":[0.99153405,0.0034645777,0.0030866873,0.00032251127,0.00042214582,0.0011700792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011154169,0.00013011058,0.00023607166,0.00074636855,0.0007462857,0.00095039257,0.00044057265,0.0006232603,0.0030101144],"category_scores_gemma":[0.005156063,0.0001295242,0.0003228527,0.0009832559,0.0005409675,0.00045275997,0.00072342117,0.00075523293,0.0003940548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035073567,0.00018544274,0.9854974,0.00004577881,0.000055662807,0.00019587667,0.0011488259,0.00027854717,0.00015674766,0.00037466182,0.001057326,0.010652896],"study_design_scores_gemma":[0.000018974339,0.0001071227,0.9955232,0.000033551627,0.000029214192,0.000050755018,0.00251693,0.00018228912,0.00008116896,0.00016375391,0.001286575,0.000006504397],"about_ca_topic_score_codex":0.04381894,"about_ca_topic_score_gemma":0.095614016,"teacher_disagreement_score":0.04381894,"about_ca_system_score_codex":0.00052525534,"about_ca_system_score_gemma":0.00062686444,"threshold_uncertainty_score":0.087127805},"labels":[],"label_agreement":null},{"id":"W1597617593","doi":"10.2139/ssrn.1918929","title":"Firm Turnover and Productivity Growth in Selected Canadian Services Industries, 2000 to 2007","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Business; Turnover; Agricultural economics; Labour economics; Industrial organization; Economics; Economic growth; Management","score_opus":0.016075152855446195,"score_gpt":0.18364502664246377,"score_spread":0.16756987378701757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597617593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938764,0.003213122,0.00019601524,0.00095983665,0.000052656862,0.00003147408,0.051967945,0.00007134815,0.004743513],"genre_scores_gemma":[0.97364897,0.0013957793,0.00017747542,0.00012755675,0.000036323727,0.000017716011,0.018702535,0.000010858311,0.005882837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990388,0.000028036571,0.000056917153,0.00008941994,0.0004044226,0.00038233967],"domain_scores_gemma":[0.99329835,0.00034550685,0.0015656361,0.00011073065,0.003527201,0.0011526125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009163216,0.00043470427,0.00035041972,0.004941897,0.0012978511,0.0016620925,0.0014610015,0.00082153425,0.002397855],"category_scores_gemma":[0.004712591,0.00024953735,0.0006601167,0.008798653,0.0005670792,0.0006413226,0.0007330959,0.0009735447,0.0005313071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020503943,0.000042732074,0.97598064,0.000079631,0.00009830124,0.000099734774,0.00060359685,0.0008953858,0.00013948897,0.00034152323,0.011303911,0.0102100605],"study_design_scores_gemma":[0.0000040256964,0.000010385641,0.9958021,0.000020431738,0.000021941012,0.000032474774,0.00042031816,0.00055106543,0.00006826896,0.00001734024,0.0030427007,0.000008886724],"about_ca_topic_score_codex":0.99403495,"about_ca_topic_score_gemma":0.997063,"teacher_disagreement_score":0.03539746,"about_ca_system_score_codex":0.03539746,"about_ca_system_score_gemma":0.035920087,"threshold_uncertainty_score":0.2568277},"labels":[],"label_agreement":null},{"id":"W1599714988","doi":"10.2139/ssrn.244523","title":"Patterns of Corporate Diversification in Canada: An Empirical Analysis","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Diversification (marketing strategy); Business; Economics; Geography; Econometrics; Marketing","score_opus":0.03245330127240829,"score_gpt":0.22181101702826464,"score_spread":0.18935771575585636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599714988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99403894,0.00079910207,0.00012658381,0.00030870026,0.0000045512165,0.00002903043,0.0027989848,0.000012212184,0.0018818997],"genre_scores_gemma":[0.9950807,0.00053707836,0.00025695484,0.0000782656,0.000005554111,0.00001547375,0.002132861,0.0000114718405,0.0018816446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887925,0.00009352786,0.00006537416,0.00016768678,0.00030691095,0.00048729763],"domain_scores_gemma":[0.9904427,0.0011254391,0.0018019039,0.00024220123,0.004495668,0.0018921405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011223006,0.00040794178,0.0006362691,0.005915175,0.003835381,0.0026838852,0.0018742613,0.0008837441,0.0043275305],"category_scores_gemma":[0.0056115766,0.00037792747,0.00075793226,0.016136559,0.0013392888,0.0008828827,0.001651393,0.00075607246,0.00041890008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016603988,0.00007970352,0.9816024,0.000051186267,0.00009402581,0.00016178483,0.0023127182,0.0007567102,0.00019931706,0.0010878218,0.0023580254,0.011130268],"study_design_scores_gemma":[0.000009726824,0.000018138198,0.9944457,0.000035995687,0.000026212432,0.000053961874,0.0022259785,0.0012835277,0.00006392182,0.0000833224,0.0017345794,0.0000189765],"about_ca_topic_score_codex":0.9966479,"about_ca_topic_score_gemma":0.99839324,"teacher_disagreement_score":0.05319419,"about_ca_system_score_codex":0.05319419,"about_ca_system_score_gemma":0.049728777,"threshold_uncertainty_score":0.3859527},"labels":[],"label_agreement":null},{"id":"W1599767820","doi":"10.2139/ssrn.1407001","title":"Innovation Capabilities: The Knowledge Capital Behind the Survival and Growth of Firms","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Business; Industrial organization; Knowledge management; Economics; Labour economics; Computer science","score_opus":0.01520455860583665,"score_gpt":0.220543361738245,"score_spread":0.20533880313240835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599767820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355634,0.007999982,0.031760383,0.014397627,0.00020044675,0.00007153238,0.0011800666,0.00012646009,0.1087001],"genre_scores_gemma":[0.9970697,0.0007434297,0.0005154257,0.00007596562,0.00008793932,0.000006930684,0.000067109075,0.000004704617,0.0014286565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99933594,0.00015193877,0.000042107382,0.00013239087,0.00014071754,0.00019693453],"domain_scores_gemma":[0.9844313,0.008796355,0.003836899,0.00071527186,0.00092967355,0.0012905245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017784194,0.0003645077,0.0003977853,0.0015441689,0.00057066616,0.0046032253,0.00054138945,0.0017712564,0.0054684733],"category_scores_gemma":[0.016268583,0.00020245387,0.00033714192,0.0018264228,0.00306122,0.009706139,0.0015904072,0.001346402,0.00056473416],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040218662,0.00023064666,0.18643522,0.0004600011,0.00023571154,0.00096211355,0.0026736925,0.024460064,0.0023953938,0.6505596,0.007573955,0.123611346],"study_design_scores_gemma":[0.00003556607,0.00014885813,0.08750685,0.00038805383,0.00010301566,0.00037062785,0.0018895594,0.012411904,0.0019722031,0.8848603,0.010233407,0.000079719735],"about_ca_topic_score_codex":0.002544995,"about_ca_topic_score_gemma":0.0017330818,"teacher_disagreement_score":0.0054684733,"about_ca_system_score_codex":0.0010525405,"about_ca_system_score_gemma":0.0012820648,"threshold_uncertainty_score":0.018293917},"labels":[],"label_agreement":null},{"id":"W1599800402","doi":"","title":"PRIVATE RD INVESTMENT AND PRODUCTIVITY GROWTH IN A PANEL OF FOOD MANUFACTURING INDUSTRIES","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Panel data; Industrial organization; Business; Food industry; Manufacturing; Human capital; Sample (material); Food processing; Total factor productivity; Agricultural economics; Economics; Marketing; Econometrics; Economic growth; Food science","score_opus":0.07380058165723796,"score_gpt":0.2657776445966671,"score_spread":0.19197706293942912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599800402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815885,0.00047799275,0.00050381944,0.00017720614,0.000007852613,0.000013706069,0.0156186465,0.000034536075,0.0015776606],"genre_scores_gemma":[0.978008,0.00033792484,0.00028750373,0.000020850886,0.000007151311,0.000010328752,0.018773247,0.0000047664994,0.0025502932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999597,0.00005010858,0.000017043303,0.00007038464,0.00008477224,0.00018075605],"domain_scores_gemma":[0.99821764,0.00044576402,0.00053664536,0.0001694185,0.00036339444,0.0002670747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008013761,0.00037561366,0.0004267779,0.001533136,0.00044262438,0.0010937946,0.0005619852,0.00034472434,0.0024254909],"category_scores_gemma":[0.0017850905,0.00023882004,0.0005249107,0.00300429,0.00027068992,0.00027691195,0.00044340483,0.00058122294,0.0003971866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021584817,0.00007288931,0.9732911,0.000039783725,0.00032491548,0.00018200226,0.00025045726,0.012173158,0.0009673754,0.00036076424,0.0029870025,0.009134764],"study_design_scores_gemma":[0.0000061892097,0.000019984844,0.99414957,0.0000064936135,0.000040718292,0.000033322005,0.00019289482,0.0033745968,0.00028376887,0.00007406924,0.0018090851,0.000009310672],"about_ca_topic_score_codex":0.7480296,"about_ca_topic_score_gemma":0.7669804,"teacher_disagreement_score":0.7480296,"about_ca_system_score_codex":0.0036099143,"about_ca_system_score_gemma":0.001940688,"threshold_uncertainty_score":0.5069086},"labels":[],"label_agreement":null},{"id":"W1600042680","doi":"","title":"La productivite du travail dans les etablissements de fabrication au Canada sous controle canadien et etranger","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.020559281136549673,"score_gpt":0.24937484924426737,"score_spread":0.2288155681077177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600042680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875541,0.0018528216,0.0011926382,0.00007944683,0.000010922924,0.000074254065,0.0015888141,0.000027877639,0.0076191034],"genre_scores_gemma":[0.9727787,0.0021256353,0.0037967612,0.00009804034,0.000006114498,0.00007393249,0.0017503593,0.000022994898,0.019347534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861383,0.00006896959,0.00003760742,0.00030779713,0.0007380254,0.00023373669],"domain_scores_gemma":[0.99794835,0.00037571948,0.0003248215,0.000078470264,0.0011354989,0.00013720624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090947835,0.00056256994,0.00061625196,0.0016860033,0.0025478033,0.0023773129,0.00087037944,0.00047708585,0.0034666045],"category_scores_gemma":[0.001303775,0.00026138636,0.00069249613,0.0036278074,0.001069187,0.0004559361,0.0004685728,0.00052169076,0.0003408728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013370584,0.00032028375,0.72832954,0.0011861044,0.0005759909,0.0008301494,0.018813139,0.002661382,0.102413274,0.0013928948,0.001040327,0.14109991],"study_design_scores_gemma":[0.0000050616545,0.00021232961,0.98171574,0.000056700417,0.0001035821,0.00006198013,0.0038453813,0.0005119343,0.0061067585,0.0001009929,0.007241993,0.000037455644],"about_ca_topic_score_codex":0.9360309,"about_ca_topic_score_gemma":0.9816067,"teacher_disagreement_score":0.063969076,"about_ca_system_score_codex":0.013847497,"about_ca_system_score_gemma":0.014868117,"threshold_uncertainty_score":0.12869155},"labels":[],"label_agreement":null},{"id":"W1600625016","doi":"10.1002/smj.2331","title":"Growth and survival: The moderating effects of local agglomeration and local market structure","year":2014,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economies of agglomeration; Economics; Corollary; Competition (biology); Urban agglomeration; Market structure; Liability; Monopolistic competition; Economic geography; Microeconomics; Industrial organization; Monopoly; Biology; Ecology; Finance","score_opus":0.01247809641118754,"score_gpt":0.198275714470896,"score_spread":0.18579761805970846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600625016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980792,0.00013851894,0.00031540162,0.0001413995,0.0000024985845,0.0000038925477,0.000039679184,0.000007658724,0.0012717713],"genre_scores_gemma":[0.9995604,0.000043943313,0.00005840077,0.000008912127,0.000003142208,0.0000017812866,0.000029909208,0.0000019485458,0.00029152806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942964,0.00022574897,0.000025595604,0.00010207522,0.000060785995,0.00015617545],"domain_scores_gemma":[0.9913796,0.0038512738,0.002438012,0.00044332663,0.0002843663,0.0016035126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013159072,0.00022275189,0.00033013165,0.00056360546,0.00042168403,0.0010987086,0.00037249827,0.00049246394,0.00564323],"category_scores_gemma":[0.0063699265,0.00010786323,0.00036949874,0.0007443172,0.0013969258,0.0010380702,0.0018222167,0.0006437611,0.00041941516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025552145,0.0001447943,0.98344284,0.000027561753,0.000110123336,0.0002514194,0.0007901072,0.001993886,0.0010062009,0.0013925588,0.00025883294,0.010326166],"study_design_scores_gemma":[0.000008798662,0.00015200426,0.99519193,0.000014236028,0.00004179607,0.00006713382,0.0011419998,0.0016628319,0.00022366203,0.0010173876,0.00047002916,0.000008166834],"about_ca_topic_score_codex":0.0067889257,"about_ca_topic_score_gemma":0.013351825,"teacher_disagreement_score":0.0067889257,"about_ca_system_score_codex":0.00040770232,"about_ca_system_score_gemma":0.00055272464,"threshold_uncertainty_score":0.01887846},"labels":[],"label_agreement":null},{"id":"W1606022594","doi":"","title":"Knowledge Flows and IndustrialClusters: An Analytical Review of Literature","year":2002,"lang":"en","type":"preprint","venue":"ScholarSpace (University of Hawaii at Manoa)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Economic Growth Center, Yale University; Yale University","keywords":"Dynamism; Cluster (spacecraft); Variety (cybernetics); Industrial organization; Process (computing); Knowledge management; Transaction cost; Field (mathematics); Business; Economic geography; Computer science; Economics","score_opus":0.07110421224693618,"score_gpt":0.24923899804164304,"score_spread":0.17813478579470687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606022594","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019809876,0.9373865,0.005342114,0.008724042,0.00018478512,0.000027593322,0.0005712224,0.000040098876,0.02791376],"genre_scores_gemma":[0.13435476,0.8591109,0.0027612608,0.0005692546,0.0006533006,0.00004390286,0.00035665144,0.000021030657,0.002128868],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999278,0.00027228156,0.00004995529,0.00012032195,0.00018278132,0.00009673147],"domain_scores_gemma":[0.9907823,0.007355004,0.0006783855,0.00015634012,0.0008882351,0.000139722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020994241,0.0006898255,0.0009401468,0.018974565,0.0010541973,0.0045677745,0.00083453587,0.0011332952,0.004765038],"category_scores_gemma":[0.006211,0.0004339319,0.00074063265,0.03604768,0.0014251875,0.005321243,0.0015166663,0.00089535787,0.0008931043],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011892027,0.0000975106,0.021182261,0.007969836,0.0004650822,0.0004753568,0.0024799262,0.009737624,0.0002174394,0.27852166,0.040177755,0.63855666],"study_design_scores_gemma":[0.000034479563,0.000103386075,0.08366449,0.017855428,0.000782551,0.0011451597,0.010243899,0.011651528,0.0007077288,0.40685928,0.46682677,0.00012531651],"about_ca_topic_score_codex":0.006485743,"about_ca_topic_score_gemma":0.008965617,"teacher_disagreement_score":0.018974565,"about_ca_system_score_codex":0.0035152996,"about_ca_system_score_gemma":0.0020333505,"threshold_uncertainty_score":0.025505424},"labels":[],"label_agreement":null},{"id":"W1607278995","doi":"","title":"Firm Growth: An International Comparison","year":2011,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Business; Annual growth %; International trade; Database; Economics; Agricultural economics; Computer science","score_opus":0.07580604302531598,"score_gpt":0.2468732767086129,"score_spread":0.1710672336832969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607278995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52406436,0.015470406,0.0045497986,0.0019202784,0.00057071605,0.000104405364,0.033110008,0.00038835037,0.41982168],"genre_scores_gemma":[0.9428523,0.0052153305,0.0018632109,0.00021591199,0.00022370997,0.00008916407,0.037677735,0.00027622623,0.011586374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682826,0.00078176404,0.00026241137,0.0005803896,0.0010101075,0.00053714594],"domain_scores_gemma":[0.9894064,0.0029340326,0.0021090559,0.0012888393,0.003632559,0.00062925764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027755164,0.0004949329,0.0005746314,0.013040924,0.00041017504,0.002566266,0.00045088428,0.0003802224,0.008448055],"category_scores_gemma":[0.008329404,0.00013108828,0.0008934188,0.017464759,0.00044853272,0.002591137,0.0023540356,0.0010678042,0.0024791805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002375249,0.00054284505,0.46716896,0.0011667166,0.0012748895,0.00075672986,0.0032311059,0.0057344614,0.0024918215,0.061968606,0.0687899,0.3844987],"study_design_scores_gemma":[0.00009058845,0.0005272307,0.81240624,0.0004434931,0.00042428708,0.0008457952,0.0037916726,0.0016470995,0.0022969982,0.0056733913,0.17179823,0.00005506821],"about_ca_topic_score_codex":0.0030056986,"about_ca_topic_score_gemma":0.0033748203,"teacher_disagreement_score":0.013040924,"about_ca_system_score_codex":0.0007107066,"about_ca_system_score_gemma":0.00040339807,"threshold_uncertainty_score":0.028261602},"labels":[],"label_agreement":null},{"id":"W1665672895","doi":"10.7202/602360ar","title":"Analyse comparative de la visibilité des articles en économie industrielle : 1991-1998","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.07491527551066465,"score_gpt":0.2790409650635332,"score_spread":0.20412568955286856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1665672895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.813082,0.05929763,0.0016502683,0.0064357775,0.001065118,0.00015555194,0.013565032,0.00016101691,0.10458768],"genre_scores_gemma":[0.8821221,0.038696084,0.002371662,0.0006905492,0.0019957337,0.00027763486,0.009193009,0.00017473429,0.06447851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99348783,0.00089185993,0.00090938,0.00081430713,0.0034311723,0.00046552595],"domain_scores_gemma":[0.85061574,0.07583709,0.028544918,0.0028410843,0.03980835,0.0023529553],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006990229,0.0004453882,0.00062930083,0.032510377,0.0011473332,0.0067351866,0.0005361933,0.0008057185,0.012076901],"category_scores_gemma":[0.048003815,0.00034474814,0.00063344534,0.043564226,0.0010692822,0.0029309192,0.0013180934,0.0006098545,0.0030412378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011048461,0.00021935596,0.47602168,0.005563935,0.00071981695,0.0009952182,0.016999908,0.0008627652,0.008315236,0.012814545,0.033194482,0.44318828],"study_design_scores_gemma":[0.000027336348,0.0001524686,0.85096836,0.0009318223,0.0002895432,0.0005330017,0.0062429756,0.0003380074,0.0017301862,0.000520279,0.13823302,0.000032996893],"about_ca_topic_score_codex":0.016626015,"about_ca_topic_score_gemma":0.025296561,"teacher_disagreement_score":0.9674896,"about_ca_system_score_codex":0.0034133773,"about_ca_system_score_gemma":0.00398019,"threshold_uncertainty_score":0.04040128},"labels":[],"label_agreement":null},{"id":"W1673465277","doi":"10.7202/1026759ar","title":"Le prêt de main-d’oeuvre : un dispositif innovant au service des territoires","year":2014,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02849376517713893,"score_gpt":0.2153244428503225,"score_spread":0.1868306776731836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1673465277","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22062533,0.005175511,0.034021277,0.083131775,0.0012313602,0.0002952698,0.00038358767,0.0005197782,0.6546161],"genre_scores_gemma":[0.769624,0.002733978,0.00977986,0.0058435793,0.00033733615,0.00022101535,0.00028611114,0.0002656916,0.21090843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9960478,0.0010384846,0.00013430463,0.0006002964,0.0011121281,0.0010670517],"domain_scores_gemma":[0.99342996,0.0012279048,0.00059833314,0.00039832972,0.0018918741,0.0024536827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003925606,0.0006223732,0.0004523663,0.001491131,0.0075255963,0.012934637,0.0017127922,0.0040926305,0.029687848],"category_scores_gemma":[0.0075294855,0.000519735,0.00058373815,0.0010786667,0.010852004,0.009129497,0.008017972,0.005365217,0.0058818636],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024324308,0.00031404351,0.026389046,0.0006550433,0.00005611914,0.002887213,0.104435265,0.0014421347,0.0037174935,0.66213566,0.033492494,0.1642322],"study_design_scores_gemma":[0.000021371916,0.0004710722,0.024314417,0.0009714758,0.000036714388,0.0010771541,0.08326191,0.0009906029,0.0017002387,0.10271298,0.7842943,0.0001477],"about_ca_topic_score_codex":0.022458017,"about_ca_topic_score_gemma":0.028159492,"teacher_disagreement_score":0.029687848,"about_ca_system_score_codex":0.0075646443,"about_ca_system_score_gemma":0.01682762,"threshold_uncertainty_score":0.09931576},"labels":[],"label_agreement":null},{"id":"W1674604521","doi":"","title":"L'évolution des avantages comparatifs révélés du secteur manufacturier au Canada et au Mexique, 1980-2002","year":2008,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.012294877244288405,"score_gpt":0.1650556790303895,"score_spread":0.1527608017861011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674604521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98498595,0.0023146782,0.00020592986,0.000949591,0.000016064643,0.000011270327,0.0061013345,0.000035864367,0.005379307],"genre_scores_gemma":[0.9850058,0.0011065019,0.00045307534,0.00010002806,0.000013093177,0.000011143191,0.0026621441,0.00001191679,0.01063619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991774,0.000061174134,0.000042929914,0.00011903503,0.00029019496,0.00030937968],"domain_scores_gemma":[0.9942158,0.00095173786,0.0013584294,0.000103746206,0.0026542747,0.0007159789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767653,0.0003540318,0.00042238404,0.0041599576,0.001789631,0.002479606,0.0008574467,0.0008109238,0.0035484622],"category_scores_gemma":[0.004119973,0.0002685955,0.00055830163,0.008323856,0.0007285505,0.0007592718,0.0009157254,0.00078606623,0.0002926161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041683074,0.000051958083,0.9511422,0.00021216685,0.00025461137,0.000524741,0.0044877226,0.0018068285,0.001336983,0.0026844598,0.0036136447,0.03346775],"study_design_scores_gemma":[0.0000041700036,0.000016798867,0.9933908,0.000025040172,0.000029368071,0.000052743788,0.0015851342,0.00031752445,0.0002044927,0.000035853445,0.0043287184,0.000009217459],"about_ca_topic_score_codex":0.9824294,"about_ca_topic_score_gemma":0.99181706,"teacher_disagreement_score":0.021353416,"about_ca_system_score_codex":0.021353416,"about_ca_system_score_gemma":0.022289116,"threshold_uncertainty_score":0.15493059},"labels":[],"label_agreement":null},{"id":"W1675418920","doi":"10.1016/j.jeca.2009.01.010","title":"Are Liquidity Constraints Holding Women Back? An Analysis of Gender in Self-Employment Earnings","year":2009,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Market liquidity; Economics; Demographic economics; Labour economics; Monetary economics; Accounting","score_opus":0.04908532800937116,"score_gpt":0.25902643801509934,"score_spread":0.20994111000572818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1675418920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955296,0.0005893051,0.00012772066,0.00082041154,0.000008476029,0.000006234758,0.00017867294,0.000002054719,0.002737561],"genre_scores_gemma":[0.99924856,0.00008072582,0.000011416819,0.000032616834,0.000011429642,0.00000177285,0.000040954666,0.0000010617858,0.00057144207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941576,0.00014563242,0.00002280752,0.000046053043,0.000059301346,0.0003105166],"domain_scores_gemma":[0.9869774,0.008272869,0.002967326,0.00023085623,0.0003497243,0.0012018655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016155067,0.00020878892,0.0005077445,0.00088335556,0.00079923816,0.0018565304,0.0006168178,0.00094135676,0.011806192],"category_scores_gemma":[0.009172997,0.00017651811,0.00058900076,0.0013085066,0.0010041498,0.0014379381,0.0012107233,0.00107661,0.00048601654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011820169,0.00029568924,0.9661539,0.000049082344,0.0001751181,0.0009333114,0.00316548,0.0012001792,0.0006005244,0.008577134,0.0010457278,0.016621836],"study_design_scores_gemma":[0.000057392004,0.00024079182,0.9726561,0.000084099964,0.00022487092,0.00022982586,0.015133996,0.00295175,0.0003876753,0.005967856,0.0020374488,0.0000282601],"about_ca_topic_score_codex":0.019963454,"about_ca_topic_score_gemma":0.023632301,"teacher_disagreement_score":0.019963454,"about_ca_system_score_codex":0.0008903828,"about_ca_system_score_gemma":0.00083489734,"threshold_uncertainty_score":0.039694488},"labels":[],"label_agreement":null},{"id":"W1711147850","doi":"10.2139/ssrn.1864144","title":"The Contribution of Small and Medium-Sized Businesses to Gross Domestic Product: A Canada-United States Comparison","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Statistics Canada","funders":"","keywords":"Gross domestic product; Gross domestic income; Product (mathematics); Business; Agricultural economics; International trade; Economics; Economic growth; Public economics; Mathematics; Gross income","score_opus":0.019607629683545923,"score_gpt":0.21518537205846952,"score_spread":0.1955777423749236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1711147850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96492696,0.0046775024,0.00021522699,0.0020867048,0.000041056068,0.000034005465,0.0041874857,0.000031495478,0.023799526],"genre_scores_gemma":[0.99429107,0.0013586094,0.000115968774,0.000095356656,0.000010844776,0.0000036373704,0.0012258467,0.000009196068,0.0028895198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891746,0.000081246566,0.000033123888,0.000100263554,0.0004943978,0.00037357974],"domain_scores_gemma":[0.99418616,0.00071343605,0.0004938195,0.00010631854,0.0031268299,0.0013733335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008987834,0.00029422238,0.00038529336,0.0036606048,0.001731412,0.0031204207,0.0009807718,0.000576844,0.0025841086],"category_scores_gemma":[0.0052424436,0.00019090253,0.000680858,0.0061012907,0.0010232993,0.00072264083,0.0013456681,0.00073319365,0.00026366557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006246103,0.000069928654,0.95822287,0.000094656876,0.0002364598,0.0003459972,0.0011926712,0.002749124,0.00042171933,0.005495373,0.005160914,0.025385661],"study_design_scores_gemma":[0.000019616551,0.000027362215,0.9881793,0.000047026213,0.00014484167,0.00007014105,0.0025612419,0.0013685538,0.00028825982,0.00037814525,0.006893177,0.000022294618],"about_ca_topic_score_codex":0.9903881,"about_ca_topic_score_gemma":0.9955902,"teacher_disagreement_score":0.02833759,"about_ca_system_score_codex":0.02833759,"about_ca_system_score_gemma":0.02965953,"threshold_uncertainty_score":0.20560455},"labels":[],"label_agreement":null},{"id":"W1735330049","doi":"10.1787/027538012864","title":"Impact of the Adoption of Advanced Information and Communication Technologies on Firm Performance in the Canadian Manufacturing Sector","year":2002,"lang":"en","type":"paratext","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Manufacturing sector; Business; Industrial organization; Manufacturing engineering; Engineering; Economics; Labour economics","score_opus":0.024066305916952295,"score_gpt":0.22528425917057307,"score_spread":0.20121795325362077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1735330049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98983663,0.00051992806,0.000075245065,0.0011480688,0.000010852989,0.000013638791,0.00046563282,0.000014150526,0.007915841],"genre_scores_gemma":[0.9985556,0.00022616022,0.00003880675,0.000042394753,0.000004724677,0.0000016450949,0.00021733133,0.0000016800005,0.0009115431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979225,0.00026277712,0.00006349934,0.00014005427,0.00085453456,0.00075672194],"domain_scores_gemma":[0.9908477,0.0018773328,0.0017156734,0.00022773209,0.003379771,0.0019517869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013833598,0.00025864923,0.00025136527,0.0010336328,0.0012451279,0.0022899266,0.00062236574,0.0006799168,0.002382057],"category_scores_gemma":[0.009748884,0.0001138741,0.00029273887,0.0021767458,0.0011359844,0.0005842588,0.00089099264,0.00090621423,0.0003170215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058695645,0.00045534415,0.90788186,0.00009268366,0.000158876,0.0003798287,0.001129842,0.019305887,0.0022137482,0.0039438633,0.004339845,0.05951133],"study_design_scores_gemma":[0.000012730706,0.000085101674,0.993705,0.000017895276,0.000033056414,0.000023358254,0.0009352739,0.0029143407,0.00038275143,0.00015903499,0.0017084256,0.000023035409],"about_ca_topic_score_codex":0.96572936,"about_ca_topic_score_gemma":0.9736616,"teacher_disagreement_score":0.9766446,"about_ca_system_score_codex":0.023355436,"about_ca_system_score_gemma":0.019089658,"threshold_uncertainty_score":0.16945636},"labels":[],"label_agreement":null},{"id":"W1753310999","doi":"10.3968/j.ccc.1923670020050101.024","title":"Financing Mode of American Small and Medium-sized Enterprises and the Enlightenment to Our Country","year":2010,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enlightenment; Humanities; Business; Political science; Welfare economics; Finance; Economics; Art; Philosophy","score_opus":0.01907800114938536,"score_gpt":0.28073321743657015,"score_spread":0.2616552162871848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1753310999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95277387,0.00031701263,0.0011579568,0.0013842213,0.000007242712,0.000026182817,0.000094360454,0.000008097501,0.044231016],"genre_scores_gemma":[0.99585587,0.00015330537,0.0002003409,0.000027239772,0.0000040523887,0.000007317962,0.000028916837,0.000001229299,0.0037217413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997391,0.000069637776,0.000009066498,0.000030861494,0.00004949383,0.00010187105],"domain_scores_gemma":[0.99886227,0.00029759773,0.00037242915,0.000051083287,0.0001468354,0.00026981856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006417906,0.00008891417,0.000082911996,0.0007804028,0.0007773956,0.0021630288,0.00023900796,0.000340085,0.005236929],"category_scores_gemma":[0.0020228839,0.00008056437,0.000121933546,0.0007277317,0.0008372224,0.0012196748,0.00085934065,0.00044269738,0.00018643275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023080937,0.00017466226,0.61235505,0.000060380717,0.00003147633,0.0011285559,0.013922707,0.002615908,0.0009899373,0.29597658,0.0048731137,0.06764087],"study_design_scores_gemma":[0.000053137883,0.0002024127,0.8264695,0.00021335049,0.000045938392,0.0010215774,0.027224025,0.009636156,0.0012677624,0.055444896,0.07835925,0.00006210221],"about_ca_topic_score_codex":0.007739737,"about_ca_topic_score_gemma":0.00717747,"teacher_disagreement_score":0.007739737,"about_ca_system_score_codex":0.001961517,"about_ca_system_score_gemma":0.0010865404,"threshold_uncertainty_score":0.017519236},"labels":[],"label_agreement":null},{"id":"W1755946505","doi":"10.5172/impp.2001.4.1-3.147","title":"Sources of ideas and knowledge for innovatory small companies: Disaggregation of Australian and Eurostat CIS2 innovation survey data","year":2002,"lang":"en","type":"article","venue":"Innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Swinburne University of Technology","keywords":"Public sector; Business; Manufacturing sector; European union; Product (mathematics); Private sector; Tertiary sector of the economy; Survey research; Service (business); Product innovation; Marketing; Economic growth; Economics; Economy; Business administration; International trade; Labour economics","score_opus":0.24322976902014617,"score_gpt":0.2940393360810338,"score_spread":0.0508095670608876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1755946505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542687,0.0007106074,0.00070925255,0.00037785593,0.000008164521,0.000067577355,0.038170632,0.000031449832,0.005655663],"genre_scores_gemma":[0.95718,0.0005267623,0.0007635292,0.000057212972,0.000013887088,0.00015580362,0.036932144,0.000014051348,0.004356639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668175,0.0007892774,0.00046128564,0.00028771284,0.0013873925,0.0003925726],"domain_scores_gemma":[0.96975315,0.009603146,0.011663523,0.0015278523,0.0062145446,0.0012379446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031469245,0.00027014336,0.0004920168,0.011090962,0.00036761706,0.0018633523,0.000536268,0.00039248247,0.0042567793],"category_scores_gemma":[0.018138584,0.00025707114,0.0005927958,0.018781595,0.00033956536,0.0011908635,0.0025832192,0.0005037339,0.0013111283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073172065,0.000043516342,0.9784459,0.00024641748,0.00017003591,0.000106132116,0.0020648248,0.00095700263,0.00033263548,0.0008962878,0.0036071225,0.013056921],"study_design_scores_gemma":[0.000002745287,0.000015525857,0.99189734,0.00003189742,0.000030787876,0.00005303666,0.00083467306,0.00069801667,0.0002486256,0.00015811458,0.006020296,0.000008964784],"about_ca_topic_score_codex":0.055728994,"about_ca_topic_score_gemma":0.04625341,"teacher_disagreement_score":0.055728994,"about_ca_system_score_codex":0.0016173474,"about_ca_system_score_gemma":0.0013535615,"threshold_uncertainty_score":0.11080927},"labels":[],"label_agreement":null},{"id":"W1767439596","doi":"","title":"STRUCTURAL LINKAGES AMONG MARKET ORIENTATION, INNOVATION SPEED AND NEW PRODUCT PERFORMANCE","year":2008,"lang":"en","type":"article","venue":"ASAC","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market orientation; Business; Product (mathematics); Orientation (vector space); Industrial organization; Marketing; Mathematics; Geometry","score_opus":0.04632407266466096,"score_gpt":0.21872243728119317,"score_spread":0.1723983646165322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1767439596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973706,0.00008884316,0.0004103567,0.0001517534,0.0000045656825,0.000005927616,0.00010551021,0.000007908301,0.0018545763],"genre_scores_gemma":[0.99935573,0.000050142655,0.00012389674,0.000012232098,0.000015395373,0.0000029469152,0.00007637811,0.0000022646839,0.0003610898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994486,0.00019459196,0.000046511654,0.00008508052,0.000087672845,0.00013758756],"domain_scores_gemma":[0.9623022,0.024291316,0.0077949627,0.0012252197,0.001835873,0.002550435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017751821,0.00020884964,0.00033932022,0.001986093,0.00044494096,0.0021429118,0.0002724898,0.00071961014,0.010657754],"category_scores_gemma":[0.01293812,0.00026448662,0.0005913675,0.0023082693,0.0009825442,0.001012942,0.0007722699,0.001093232,0.0007652149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018661103,0.0001842453,0.9879848,0.000017425813,0.00015396152,0.000057335892,0.00014611549,0.0015879759,0.00081117474,0.0028975091,0.00018598279,0.005786903],"study_design_scores_gemma":[0.00003270485,0.0001403225,0.98514605,0.000011200428,0.00014667338,0.00005908077,0.0004534937,0.0060031107,0.0002993841,0.0072601424,0.00043515617,0.000012651977],"about_ca_topic_score_codex":0.00492234,"about_ca_topic_score_gemma":0.006938609,"teacher_disagreement_score":0.010657754,"about_ca_system_score_codex":0.0006689812,"about_ca_system_score_gemma":0.0010203575,"threshold_uncertainty_score":0.03565377},"labels":[],"label_agreement":null},{"id":"W1772563446","doi":"10.1111/1756-2171.12100","title":"Building new plants or entering by acquisition? Firm heterogeneity and entry barriers in the U.S. cement industry","year":2015,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Fundación Caja Madrid; US-UK Fulbright Commission; National Science Foundation","keywords":"Industrial organization; Business; Permissive; Cement; Economics; Microeconomics","score_opus":0.06025304224350463,"score_gpt":0.2571469664208905,"score_spread":0.19689392417738588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1772563446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902338,0.0003974418,0.004245529,0.0012525135,0.000013009232,0.00003236641,0.00017237515,0.000033674427,0.003619289],"genre_scores_gemma":[0.99796754,0.00019971504,0.00040346783,0.000087932,0.000012089515,0.000012867172,0.00008829266,0.000006386622,0.0012215358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998803,0.00044276743,0.000042127493,0.00018611149,0.00007226094,0.00045361998],"domain_scores_gemma":[0.98659235,0.009140895,0.0029525848,0.00032196054,0.00021680295,0.00077537785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029433654,0.000588744,0.0014149992,0.0010089047,0.0009924349,0.0039085997,0.0013844195,0.002610963,0.0054101446],"category_scores_gemma":[0.007880117,0.00066424,0.0017825774,0.0011601334,0.0020151609,0.0027752472,0.0014886481,0.0031582233,0.00046627037],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078460196,0.0009185028,0.17901058,0.00014382724,0.00035354428,0.0007218585,0.00062562246,0.7444644,0.0009936462,0.058293186,0.0031890043,0.010501167],"study_design_scores_gemma":[0.0004921201,0.0005837615,0.049368385,0.00012151264,0.00036148573,0.00020178067,0.0018557467,0.9127511,0.0006327384,0.031280447,0.002236723,0.000114284],"about_ca_topic_score_codex":0.07526862,"about_ca_topic_score_gemma":0.07229665,"teacher_disagreement_score":0.07526862,"about_ca_system_score_codex":0.002523105,"about_ca_system_score_gemma":0.0018565878,"threshold_uncertainty_score":0.149661},"labels":[],"label_agreement":null},{"id":"W1775355624","doi":"","title":"Good Firms, Worker Flows and Productivity","year":2013,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Labour economics; Business; Wage; Economics; Economic growth","score_opus":0.02668991100032293,"score_gpt":0.19004764504132932,"score_spread":0.1633577340410064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1775355624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774728,0.004701886,0.00259697,0.0012946773,0.000029023171,0.000016936525,0.0013378011,0.000055523888,0.012494401],"genre_scores_gemma":[0.9973386,0.0006909409,0.00024176977,0.00003554143,0.000036162975,0.0000044076533,0.000253006,0.0000036803485,0.001395928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997117,0.00006523169,0.000012022749,0.00005645155,0.00004296541,0.00011149099],"domain_scores_gemma":[0.9947924,0.0019938077,0.0023458307,0.00023361761,0.00010878162,0.0005255519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006073693,0.00027183874,0.00032398273,0.0020604823,0.0005255468,0.0017537269,0.00030205163,0.0005082272,0.0076925233],"category_scores_gemma":[0.0035588194,0.00012726043,0.00038384154,0.002482311,0.0009882131,0.0008420965,0.0010092292,0.0005572376,0.00059043855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025469312,0.00014496002,0.9108523,0.00023352173,0.00025328848,0.00056412996,0.0008852829,0.011123469,0.00082446326,0.027454486,0.0046660495,0.042743362],"study_design_scores_gemma":[0.000044610802,0.00012038647,0.9542611,0.00010982889,0.00011440717,0.0002662704,0.0013983067,0.004208181,0.00060422026,0.03034455,0.00850155,0.000026706548],"about_ca_topic_score_codex":0.0071982574,"about_ca_topic_score_gemma":0.007974762,"teacher_disagreement_score":0.0076925233,"about_ca_system_score_codex":0.001083582,"about_ca_system_score_gemma":0.00037143077,"threshold_uncertainty_score":0.025734007},"labels":[],"label_agreement":null},{"id":"W1780833907","doi":"10.3968/j.ccc.1923670020090502.007","title":"Solutions of Survival and Development of Enterprise Confronted with Economic Crisis","year":2009,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Order (exchange); Business; Production (economics); Work (physics); Industrial organization; Capital (architecture); Key (lock); Economic system; Economics; Market economy; Finance; Microeconomics; Macroeconomics; Engineering; Computer science","score_opus":0.04708029575840838,"score_gpt":0.28456880879516816,"score_spread":0.23748851303675977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1780833907","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32528648,0.011269568,0.06047696,0.21299994,0.0021827812,0.00021445486,0.00021253622,0.0002276841,0.38712963],"genre_scores_gemma":[0.96046245,0.0038441601,0.0073309834,0.0012729737,0.00030395787,0.000105110565,0.000084152714,0.000016922024,0.026579285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99930954,0.00026422317,0.000023845512,0.000058855265,0.00006971062,0.00027390517],"domain_scores_gemma":[0.99899775,0.00023788825,0.0001348785,0.000036206697,0.0002242022,0.0003690073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011541498,0.00032328017,0.0002060469,0.00055972236,0.002081031,0.0030053472,0.00066407473,0.002726669,0.0058416943],"category_scores_gemma":[0.0028587028,0.00010732131,0.00031061287,0.00033434902,0.0015003543,0.0022453547,0.0032708924,0.0018490102,0.0005217641],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016120168,0.00020435544,0.0079648895,0.00041725475,0.000062010484,0.0024516187,0.008313392,0.011021658,0.001850923,0.8014559,0.047629096,0.11846783],"study_design_scores_gemma":[0.00007885684,0.0002517129,0.0076081315,0.00053325697,0.000044802822,0.0014267315,0.04336143,0.020289386,0.0014547157,0.7525019,0.172391,0.00005808786],"about_ca_topic_score_codex":0.0011324038,"about_ca_topic_score_gemma":0.0015199265,"teacher_disagreement_score":0.0058416943,"about_ca_system_score_codex":0.001715298,"about_ca_system_score_gemma":0.0029009308,"threshold_uncertainty_score":0.019542456},"labels":[],"label_agreement":null},{"id":"W1829337458","doi":"10.2139/ssrn.1443963","title":"Productivity Spillovers from Competitive Reallocation: Evidence from Canadian Manufacturing Plants","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Economics; Business; Industrial organization; Labour economics; International trade; Agricultural economics; Macroeconomics","score_opus":0.019405448704644866,"score_gpt":0.21088367890536688,"score_spread":0.19147823020072202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1829337458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97679406,0.002186317,0.0003571294,0.0009673184,0.000010497388,0.000047932313,0.0010471867,0.000021284566,0.018568184],"genre_scores_gemma":[0.9961183,0.001569173,0.00011550126,0.0000857736,0.0000117805885,0.000006553615,0.00035461283,0.000003005212,0.0017353178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990715,0.00009341792,0.000026862828,0.00012150623,0.00037452366,0.00031207837],"domain_scores_gemma":[0.9917847,0.0034521206,0.0017677511,0.00035985015,0.002045619,0.0005899684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013363003,0.00042551852,0.00050637836,0.002224138,0.0024939242,0.0028567284,0.0010197189,0.0012619838,0.0062246188],"category_scores_gemma":[0.0064782323,0.0002207589,0.00049257657,0.004931275,0.0017206833,0.0011351889,0.0012013997,0.0011427749,0.0005036175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053415736,0.001933508,0.6992049,0.0017353562,0.00072201213,0.002009426,0.01147601,0.023813142,0.00847085,0.02067858,0.0143873235,0.21022725],"study_design_scores_gemma":[0.00016327781,0.00027358704,0.9780563,0.00012332533,0.00037498338,0.00011043453,0.006493997,0.0020476854,0.0016969458,0.0020143322,0.008562374,0.000082722996],"about_ca_topic_score_codex":0.93177396,"about_ca_topic_score_gemma":0.9505445,"teacher_disagreement_score":0.06822604,"about_ca_system_score_codex":0.02048476,"about_ca_system_score_gemma":0.015158964,"threshold_uncertainty_score":0.14862806},"labels":[],"label_agreement":null},{"id":"W185808067","doi":"","title":"Estudios empíricos sobre la industria de los ordenadores personales","year":2012,"lang":"es","type":"article","venue":"TDX (Tesis Doctorals en Xarxa)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.050029338440463256,"score_gpt":0.28786579674588203,"score_spread":0.23783645830541877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W185808067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86412746,0.023850905,0.011730615,0.0035591477,0.00006148817,0.00009152646,0.0023797974,0.000044654364,0.094154395],"genre_scores_gemma":[0.9622484,0.020827482,0.0035247577,0.00027095745,0.00009222609,0.00009996327,0.001382225,0.000030127492,0.011523882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847823,0.00048209142,0.000116802505,0.0003015597,0.00043582582,0.00018545857],"domain_scores_gemma":[0.98171335,0.012886477,0.0023471208,0.0011012546,0.0016144175,0.00033734585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034813904,0.000501255,0.0007122115,0.003089877,0.0012367312,0.0038682423,0.00066692027,0.0005416958,0.010434771],"category_scores_gemma":[0.010589977,0.0004806256,0.0009337461,0.0055293827,0.0014138073,0.002568987,0.0012706927,0.0009761936,0.0010339943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023056414,0.00035678153,0.742029,0.0018507245,0.0009916644,0.0009406353,0.012653987,0.024356704,0.0010527038,0.07489909,0.005841735,0.13479634],"study_design_scores_gemma":[0.000044059343,0.00019719532,0.82497287,0.0024143013,0.0005109653,0.00040224387,0.02056619,0.009374248,0.001532675,0.028589657,0.11130587,0.000089801026],"about_ca_topic_score_codex":0.056053486,"about_ca_topic_score_gemma":0.064579606,"teacher_disagreement_score":0.056053486,"about_ca_system_score_codex":0.0020597784,"about_ca_system_score_gemma":0.0024177593,"threshold_uncertainty_score":0.11145443},"labels":[],"label_agreement":null},{"id":"W1874496400","doi":"10.1111/j.1467-6419.2012.00728.x","title":"THEORIES OF ENTREPRENEURSHIP, INNOVATION AND THE BUSINESS CYCLE","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business cycle; Entrepreneurship; Economics; Key (lock); Creative destruction; Production (economics); Industrial organization; Neoclassical economics; Microeconomics; Macroeconomics; Computer science","score_opus":0.031122345259335868,"score_gpt":0.23386639165312453,"score_spread":0.20274404639378868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874496400","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42947483,0.049211215,0.15401618,0.043534294,0.0005649335,0.00027955836,0.0013549925,0.00023378726,0.32133028],"genre_scores_gemma":[0.9840193,0.0076488433,0.0028605703,0.00037862622,0.00021789319,0.00006759008,0.0001608494,0.000006730189,0.004639579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993604,0.00034268733,0.000032647713,0.00006394636,0.00012276022,0.0000776692],"domain_scores_gemma":[0.99187213,0.006302612,0.0007705801,0.00033949266,0.000427878,0.00028727987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019785904,0.00028433383,0.000514139,0.0025524732,0.0004890784,0.0027648218,0.00065415027,0.0010086562,0.0056195543],"category_scores_gemma":[0.00916692,0.0001773353,0.00037479328,0.0031011354,0.0022601483,0.0025232118,0.0010055174,0.0010407403,0.00043018436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028204262,0.000050630886,0.008401408,0.000095833646,0.00002124323,0.00004989482,0.00019822134,0.011108509,0.0000439064,0.9509659,0.0028290092,0.026207285],"study_design_scores_gemma":[0.000014831151,0.000014153441,0.0029077474,0.00010053962,0.000011350299,0.0000550627,0.00027344882,0.01049518,0.00004367348,0.9780556,0.008021362,0.000007172628],"about_ca_topic_score_codex":0.001448096,"about_ca_topic_score_gemma":0.0011691009,"teacher_disagreement_score":0.0056195543,"about_ca_system_score_codex":0.0014281601,"about_ca_system_score_gemma":0.0011470775,"threshold_uncertainty_score":0.018799305},"labels":[],"label_agreement":null},{"id":"W1876104630","doi":"","title":"Managerial Incentives and the Treatment of Pre-production Expenditure in the Mining Industry","year":2007,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Capitalization; Profitability index; Leverage (statistics); Business; Production (economics); Earnings; Earnings before interest, taxes, depreciation, and amortization; Capital expenditure; Position (finance); Equity (law); Finance; Monetary economics; Economics; Market economy; Macroeconomics","score_opus":0.09018820310364238,"score_gpt":0.302996737028778,"score_spread":0.2128085339251356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1876104630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973137,0.00013443928,0.00014997828,0.00020889273,0.0000040557093,0.000009205692,0.000021034453,0.0000025510096,0.0021562185],"genre_scores_gemma":[0.9995559,0.00003201158,0.000045798446,0.000017784127,0.000006770911,0.0000034710004,0.000016893422,5.8175544e-7,0.00032081248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987425,0.0004856159,0.000108129425,0.000074222065,0.00022266715,0.00036692043],"domain_scores_gemma":[0.9679612,0.007115183,0.021119764,0.00057156774,0.00088075036,0.0023515814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015517975,0.00014920822,0.00016585176,0.00081272825,0.0004700446,0.00124705,0.00026071636,0.00042376536,0.0019241432],"category_scores_gemma":[0.013968466,0.0001283973,0.000109104374,0.00052195886,0.00054114976,0.00057712034,0.0007233064,0.0004556248,0.0001763847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031686737,0.0003534533,0.97399,0.000033583296,0.000029973644,0.00038603946,0.0011015016,0.0009163441,0.0025978624,0.0018140846,0.00027866836,0.018181581],"study_design_scores_gemma":[0.0000058047103,0.000101814214,0.9972631,0.000012801658,0.0000038260796,0.00010440555,0.00057103776,0.00044075804,0.0003730608,0.00044660433,0.00067038584,0.000006457886],"about_ca_topic_score_codex":0.0021149777,"about_ca_topic_score_gemma":0.004551058,"teacher_disagreement_score":0.0021149777,"about_ca_system_score_codex":0.0009623739,"about_ca_system_score_gemma":0.00091163605,"threshold_uncertainty_score":0.008206785},"labels":[],"label_agreement":null},{"id":"W1880031204","doi":"10.1111/grow.12055","title":"The Dynamic Effects of Entrepreneurship on Regional Economic Growth: Evidence from <scp>C</scp>anada","year":2014,"lang":"en","type":"article","venue":"Growth and Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development","funders":"","keywords":"Entrepreneurship; Economic geography; Economics","score_opus":0.03410449017670817,"score_gpt":0.20986814337922785,"score_spread":0.1757636532025197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1880031204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978818,0.000119739845,0.000046635527,0.00012831102,0.0000034529946,0.0000031319094,0.00037098734,0.0000021810645,0.0014437166],"genre_scores_gemma":[0.99945515,0.00010885877,0.000032954787,0.0000069113817,0.0000020776802,0.0000016905924,0.00018728721,5.768662e-7,0.0002044989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996338,0.00011352866,0.000015974121,0.000060152815,0.0000664196,0.00011011333],"domain_scores_gemma":[0.99585056,0.0013685182,0.0011986273,0.00027957643,0.0009216635,0.00038096507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081541063,0.0001223364,0.00016285469,0.0006610725,0.0004131038,0.00072546466,0.00033627296,0.00012908365,0.0011701945],"category_scores_gemma":[0.003113747,0.00009907561,0.00022909831,0.0017115647,0.00046455057,0.00022748519,0.00049940986,0.00034817014,0.00010663245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010407132,0.0000746609,0.99102914,0.000022426011,0.00005395695,0.00017341936,0.00035431757,0.00086623646,0.00015707483,0.0003715602,0.00062840653,0.006164769],"study_design_scores_gemma":[0.0000057259404,0.000022623697,0.99644876,0.000011831917,0.000021331825,0.000022309661,0.0014543212,0.0010690644,0.00007813029,0.00007282078,0.0007896834,0.0000033375618],"about_ca_topic_score_codex":0.40384936,"about_ca_topic_score_gemma":0.49795952,"teacher_disagreement_score":0.59615064,"about_ca_system_score_codex":0.0012650177,"about_ca_system_score_gemma":0.002169669,"threshold_uncertainty_score":0.8029974},"labels":[],"label_agreement":null},{"id":"W1886607088","doi":"10.1016/j.respol.2015.03.003","title":"Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data","year":2015,"lang":"en","type":"article","venue":"Research Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":209,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Panel data; Business; Industrial organization; Stock (firearms); Knowledge flow; Knowledge management; Knowledge economy; Investment (military); Measure (data warehouse); Marketing; Economics; Econometrics; Computer science; Data mining","score_opus":0.6756483836744561,"score_gpt":0.4639262424223971,"score_spread":0.21172214125205902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886607088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97554725,0.0014390973,0.00088921486,0.0006342889,0.000029274703,0.000025218471,0.019103289,0.000031866824,0.0023004385],"genre_scores_gemma":[0.96943206,0.001131882,0.00041174082,0.00013489014,0.00006944503,0.000032524025,0.026679918,0.000010055086,0.0020975533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798167,0.0006089346,0.00024832142,0.00043895945,0.00042078062,0.0003012772],"domain_scores_gemma":[0.94271004,0.02714251,0.022409813,0.003379427,0.0021833552,0.0021749914],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0042819884,0.00035159627,0.0008608929,0.0031267519,0.0005845329,0.002510084,0.0011303923,0.0016176731,0.005259413],"category_scores_gemma":[0.017757902,0.00046127243,0.0008350469,0.008154702,0.000594376,0.002094831,0.0014472661,0.0011521769,0.0017254616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066145125,0.0005605466,0.971865,0.00013921957,0.0013511131,0.00021227195,0.0002965218,0.005639555,0.00031816057,0.001616238,0.0055433074,0.011796632],"study_design_scores_gemma":[0.00011023353,0.00016643322,0.98770136,0.00005946585,0.0006118069,0.00010953519,0.0004713362,0.0035901114,0.0006909349,0.0017509843,0.0047023464,0.000035563244],"about_ca_topic_score_codex":0.028082985,"about_ca_topic_score_gemma":0.029338311,"teacher_disagreement_score":0.99687326,"about_ca_system_score_codex":0.0006684934,"about_ca_system_score_gemma":0.0008976426,"threshold_uncertainty_score":0.05583906},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W1889818137","doi":"","title":"An Empirical Study on Identification of Corporate Life Cycle Phases","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profit margin; Maturity (psychological); Index (typography); Sample (material); Margin (machine learning); Empirical research; Business; Profit (economics); Life-cycle hypothesis; Product life-cycle management; Identification (biology); Econometrics; Industrial organization; Economics; Operations management; Classical economics; Marketing; Computer science; Statistics; Mathematics; Microeconomics; Macroeconomics; Political science; Law","score_opus":0.15425201407675315,"score_gpt":0.32561939683686436,"score_spread":0.1713673827601112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1889818137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928328,0.000262338,0.0014425495,0.00007035807,0.000004379108,0.000044134602,0.0005240776,0.000009940258,0.004809519],"genre_scores_gemma":[0.99676454,0.00019254591,0.0011062006,0.000017376393,0.00000737759,0.000032975608,0.0011185701,0.000004798277,0.00075558876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926203,0.000250006,0.00008733797,0.00012130523,0.00018103787,0.00009828225],"domain_scores_gemma":[0.9761244,0.014509934,0.0053419145,0.0008507422,0.002518113,0.0006549464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795596,0.00016490057,0.00014915217,0.0024305729,0.00042754808,0.0011489689,0.000319537,0.00034790306,0.0028137604],"category_scores_gemma":[0.014410257,0.00011524054,0.0002414148,0.0034705983,0.00026484166,0.0015526399,0.00044922013,0.00043319765,0.00037790314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019727749,0.0001801899,0.9486364,0.00010316231,0.000019738487,0.00015492406,0.001933588,0.0006185139,0.00077997235,0.0039652446,0.00062602625,0.04278498],"study_design_scores_gemma":[0.000013222524,0.00019857947,0.9742268,0.00010186893,0.000034075478,0.00020813232,0.007651421,0.005017781,0.0014193412,0.0021428592,0.008968177,0.000017603175],"about_ca_topic_score_codex":0.0026387777,"about_ca_topic_score_gemma":0.002853595,"teacher_disagreement_score":0.0028137604,"about_ca_system_score_codex":0.00052070984,"about_ca_system_score_gemma":0.0006566325,"threshold_uncertainty_score":0.009496093},"labels":[],"label_agreement":null},{"id":"W1927276380","doi":"10.2139/ssrn.1024312","title":"Kauffman Firm Survey (KFS) - Baseline/First/Second/Third/Fourth Follow-Ups: Study Metadata Documentation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Business; Documentation; Subsidiary; Profit (economics); Baseline (sea); Marketing; Finance; Economics; Political science; Law","score_opus":0.02506152302572443,"score_gpt":0.2499018564822817,"score_spread":0.22484033345655727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1927276380","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02603335,0.00030579793,0.00076154055,0.00065266324,0.00011030616,0.0015317999,0.9558576,0.00030910384,0.014437925],"genre_scores_gemma":[0.044073585,0.00069279445,0.002177476,0.00049542444,0.00018394167,0.0069418265,0.9037688,0.00022873252,0.04143747],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99523914,0.0007554714,0.0013416623,0.000570597,0.0015266233,0.0005663861],"domain_scores_gemma":[0.9504528,0.009061164,0.010210911,0.0076017575,0.02071918,0.0019540596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045615816,0.0007043825,0.00090256444,0.015400651,0.0010827848,0.0015211768,0.001914326,0.0015308836,0.0585481],"category_scores_gemma":[0.025452103,0.0007075813,0.00070448924,0.014319837,0.00034062625,0.0022354745,0.0014862452,0.00085420924,0.03595979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007075404,0.00064520846,0.14398716,0.00075342355,0.00007032663,0.000119639764,0.0004519246,0.00018196546,0.0003272359,0.0010840145,0.8097326,0.04193882],"study_design_scores_gemma":[0.0003331826,0.00034933526,0.6165729,0.00045074103,0.00011274879,0.0001972698,0.0012095406,0.0002540156,0.0010842128,0.00058636314,0.37877718,0.0000723933],"about_ca_topic_score_codex":0.05997471,"about_ca_topic_score_gemma":0.0848116,"teacher_disagreement_score":0.05997471,"about_ca_system_score_codex":0.0021609068,"about_ca_system_score_gemma":0.007534426,"threshold_uncertainty_score":0.19586289},"labels":[],"label_agreement":null},{"id":"W1943312886","doi":"10.2139/ssrn.941188","title":"Mobile Phone Mergers and Market Shares Short Term Losses and Long Term Gains","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Term (time); Business; Market share; Mobile phone; Monetary economics; Financial system; Telecommunications; Finance; Economics; Computer science; Physics","score_opus":0.012228425940284194,"score_gpt":0.22346583216396773,"score_spread":0.21123740622368353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943312886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994599,0.0004209535,0.00020991077,0.00033597814,0.0000063562934,0.000005677631,0.00024287621,0.000011434586,0.0041678334],"genre_scores_gemma":[0.9983499,0.00008339789,0.000019442652,0.000017590823,0.000018969964,0.0000021072408,0.00012311901,0.0000016632964,0.0013838201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942434,0.000108829154,0.000045094082,0.000059987953,0.0001647379,0.0001970414],"domain_scores_gemma":[0.97676235,0.010358796,0.009670656,0.00047138004,0.0010784776,0.0016584217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011144574,0.00016118237,0.00025540573,0.00088847097,0.00030842892,0.0027752882,0.00033014358,0.0009303285,0.007641859],"category_scores_gemma":[0.01309394,0.00013635815,0.00029528464,0.0012170537,0.00080117385,0.0027980423,0.00077425834,0.0012473625,0.0010203054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031781993,0.00041440464,0.9331463,0.00006542763,0.00020280031,0.0010563463,0.0007344454,0.0058806953,0.004331369,0.017270835,0.0025529377,0.031166269],"study_design_scores_gemma":[0.000050342645,0.00043326718,0.98002255,0.000024707746,0.00012841525,0.00068378396,0.0015895595,0.006026206,0.0020092344,0.0071566077,0.0018491101,0.000026233698],"about_ca_topic_score_codex":0.0021997374,"about_ca_topic_score_gemma":0.0025265445,"teacher_disagreement_score":0.007641859,"about_ca_system_score_codex":0.0008945121,"about_ca_system_score_gemma":0.00035841358,"threshold_uncertainty_score":0.025564551},"labels":[],"label_agreement":null},{"id":"W1948550623","doi":"10.7202/1024273ar","title":"Vers une différenciation des trajectoires de forte croissance (FC continue vs FC discontinue)","year":2014,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01636957448580517,"score_gpt":0.2335167884798371,"score_spread":0.21714721399403192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948550623","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31329355,0.011709976,0.048354108,0.007935331,0.00037583662,0.00015957387,0.0012310663,0.00023326927,0.61670727],"genre_scores_gemma":[0.93762904,0.0031042763,0.0094092535,0.00043194686,0.00007919819,0.00009971683,0.0005046418,0.00012185933,0.048619963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889356,0.0003450214,0.000059646758,0.00026386167,0.00023229618,0.00020562093],"domain_scores_gemma":[0.9967982,0.0013396994,0.0006013457,0.00031432224,0.000665775,0.00028055863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018133819,0.0003218708,0.00026787585,0.0018202929,0.0016919472,0.0074574132,0.0009327071,0.0014793883,0.017245848],"category_scores_gemma":[0.0053609796,0.00026881683,0.00057165936,0.0023199331,0.0047065136,0.0068368777,0.0020460656,0.001863354,0.0015011487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020556142,0.000030087884,0.01108213,0.00026815606,0.00001789371,0.00047570275,0.041073583,0.0008218877,0.0015622851,0.87764114,0.003248054,0.06357345],"study_design_scores_gemma":[0.00005533736,0.00030739888,0.08637733,0.0012709982,0.00006477736,0.0014540532,0.105701014,0.0029985846,0.0019417936,0.20952027,0.59017104,0.00013743664],"about_ca_topic_score_codex":0.027062329,"about_ca_topic_score_gemma":0.025976976,"teacher_disagreement_score":0.027062329,"about_ca_system_score_codex":0.0042146593,"about_ca_system_score_gemma":0.0023127715,"threshold_uncertainty_score":0.057693124},"labels":[],"label_agreement":null},{"id":"W1949362322","doi":"10.1111/j.1540-5982.2009.01513.x","title":"Firm survival, performance, and the exchange rate","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Calgary; University of Victoria","funders":"","keywords":"Liberian dollar; Exploit; Exchange rate; Tariff; Survival of the fittest; Business; Monetary economics; Economics; Demographic economics; International economics; Finance; Biology","score_opus":0.12204408348165204,"score_gpt":0.17100595358162818,"score_spread":0.04896187009997614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1949362322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929316,0.00062657543,0.00013199884,0.00022082446,0.000007908352,0.0000079546135,0.0020811425,0.000013750501,0.0039783046],"genre_scores_gemma":[0.997218,0.000157502,0.00003095695,0.000013345336,0.000008919464,0.0000013977277,0.0015080828,0.000001341875,0.0010604557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995814,0.00004243932,0.000025157078,0.000043174125,0.00014806337,0.00015978824],"domain_scores_gemma":[0.990249,0.0019743198,0.0047491323,0.00025345534,0.0015321814,0.0012419289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094859104,0.00018969226,0.00030127398,0.0013285505,0.00036661874,0.0013629568,0.0002995878,0.0003188927,0.0034928536],"category_scores_gemma":[0.004818644,0.00006522467,0.00019897033,0.0017545342,0.00045880006,0.000350714,0.00040585437,0.00057203165,0.00038081405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014487817,0.000046766734,0.98741084,0.000023996321,0.00006842901,0.00014008046,0.000111734626,0.0028052083,0.00029525426,0.00071796234,0.0009356519,0.00729914],"study_design_scores_gemma":[0.0000027982767,0.00003387748,0.997551,0.000008509738,0.000012992282,0.000028423037,0.00015174277,0.00092032924,0.0001504699,0.000122037985,0.001011907,0.0000059201507],"about_ca_topic_score_codex":0.26846024,"about_ca_topic_score_gemma":0.28653917,"teacher_disagreement_score":0.7315397,"about_ca_system_score_codex":0.0019744479,"about_ca_system_score_gemma":0.0012563001,"threshold_uncertainty_score":0.53379524},"labels":[],"label_agreement":null},{"id":"W1952962629","doi":"10.2139/ssrn.1024713","title":"Kauffman Firm Survey: Data Overview","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Survey data collection; Business; Panel survey; Marketing; Economics; Demographic economics","score_opus":0.14004833727038538,"score_gpt":0.2721280381469232,"score_spread":0.13207970087653784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952962629","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03579633,0.00061767775,0.0017991904,0.0005151258,0.000053038573,0.0013988904,0.95202786,0.0006384371,0.007153444],"genre_scores_gemma":[0.038897015,0.0012321635,0.0034838677,0.00032887416,0.0001257887,0.0037379155,0.9387177,0.00015300582,0.0133236395],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9960651,0.0005157891,0.00084824365,0.0006767185,0.0013558146,0.00053835206],"domain_scores_gemma":[0.976551,0.004214819,0.0076495023,0.0026514323,0.007675261,0.001258019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032009142,0.0012241213,0.0010281977,0.021458276,0.0006823819,0.0015043812,0.0019391589,0.0012495463,0.015661193],"category_scores_gemma":[0.014736123,0.00068915,0.00077086117,0.025000656,0.00035903187,0.001460452,0.0015662706,0.0010780744,0.020687005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025953975,0.00048739344,0.2995945,0.0006666114,0.00018876682,0.00024195874,0.00026716778,0.0015268459,0.00044149198,0.0014133821,0.64789546,0.047016878],"study_design_scores_gemma":[0.00013035601,0.00014268786,0.7155132,0.00016223795,0.00012343965,0.00038850628,0.00040568248,0.00095925917,0.0008293751,0.0005649397,0.2807063,0.00007390755],"about_ca_topic_score_codex":0.058726348,"about_ca_topic_score_gemma":0.07199652,"teacher_disagreement_score":0.058726348,"about_ca_system_score_codex":0.0019471399,"about_ca_system_score_gemma":0.005323694,"threshold_uncertainty_score":0.116769016},"labels":[],"label_agreement":null},{"id":"W1965217122","doi":"10.1093/icc/dtl016","title":"Linking the technological regime to the technological catch-up: analyzing Korea and Taiwan using the US patent data","year":2006,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Technological change; Political science; Regional science; Management; Business; Sociology; Economics","score_opus":0.45681000448280035,"score_gpt":0.26571100961556104,"score_spread":0.1910989948672393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965217122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986557,0.00014644257,0.00015135741,0.00001617632,9.980546e-7,0.0000054761035,0.00052578485,0.00000426684,0.0004938418],"genre_scores_gemma":[0.9977901,0.000114052076,0.00019845371,0.0000047551252,0.0000034677382,0.000007914993,0.0016301917,0.0000022491781,0.0002487864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919564,0.00011075115,0.00016959484,0.00014722071,0.00021508118,0.00016170388],"domain_scores_gemma":[0.98488927,0.0057090092,0.0066488576,0.00092680287,0.0014036455,0.0004224957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013406078,0.00022376512,0.0003605445,0.006037381,0.00037220013,0.00122835,0.00038450074,0.00042677586,0.001453368],"category_scores_gemma":[0.0077269934,0.00012920804,0.00075963326,0.006859804,0.0003498676,0.0014490231,0.0010057488,0.00042827497,0.00035048937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006446888,0.00004120236,0.98753035,0.000042320546,0.00010811683,0.00058849383,0.00035801038,0.0010100169,0.00085302023,0.0003450524,0.00018333277,0.008875706],"study_design_scores_gemma":[0.000004039487,0.000071799645,0.99382484,0.000016259692,0.00006860029,0.00025184863,0.0009426008,0.00293088,0.0006671921,0.00013158482,0.0010773002,0.00001306453],"about_ca_topic_score_codex":0.01688063,"about_ca_topic_score_gemma":0.011970293,"teacher_disagreement_score":0.01688063,"about_ca_system_score_codex":0.00055120233,"about_ca_system_score_gemma":0.00044075225,"threshold_uncertainty_score":0.033564746},"labels":[],"label_agreement":null},{"id":"W1967042443","doi":"10.1093/icc/dtq064","title":"Firm dynamics and productivity growth: a comparison of the retail trade and manufacturing sectors","year":2011,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Agricultural economics; Manufacturing sector; Management; Retail trade; Section (typography); Economics; Business; Economic history; Commerce; Advertising; Labour economics; Economic growth","score_opus":0.34431132927650504,"score_gpt":0.23046142468682118,"score_spread":0.11384990458968386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967042443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99004877,0.00073753024,0.00063324685,0.00031164862,0.000006434021,0.000006447602,0.0002729907,0.000011576347,0.007971433],"genre_scores_gemma":[0.9990677,0.00024427054,0.00007999792,0.000010752876,0.000008618346,0.0000018204481,0.00020531875,0.0000025375516,0.00037894605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956816,0.000087385226,0.00002349406,0.00005341746,0.00010778025,0.00015976508],"domain_scores_gemma":[0.99648947,0.0016932903,0.00074432546,0.00016880325,0.0004732809,0.00043075255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037966,0.00020789183,0.00028470327,0.0031019049,0.00023755849,0.0016901128,0.00023343881,0.00035221357,0.0023084418],"category_scores_gemma":[0.0040782173,0.00014085435,0.00038414175,0.003592761,0.000581149,0.0012828007,0.0010206418,0.00039594134,0.000494003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051350077,0.00015822655,0.93510246,0.00008673176,0.00012983079,0.0007928171,0.0018638266,0.0055927522,0.004023691,0.008435825,0.000668001,0.042632304],"study_design_scores_gemma":[0.0000120185305,0.00009580971,0.9870062,0.000019547462,0.00001946108,0.00030550009,0.0019835948,0.004373498,0.00093449367,0.0029965315,0.0022396138,0.000013675145],"about_ca_topic_score_codex":0.005366991,"about_ca_topic_score_gemma":0.004342483,"teacher_disagreement_score":0.005366991,"about_ca_system_score_codex":0.00085240783,"about_ca_system_score_gemma":0.00042555158,"threshold_uncertainty_score":0.010671496},"labels":[],"label_agreement":null},{"id":"W1969404234","doi":"10.1080/08276331.2000.10593291","title":"Innovation of SMEs in the Knowledge-Based Economy","year":2000,"lang":"en","type":"article","venue":"Journal of Small Business & Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Dynamism; Adaptability; Knowledge economy; Business; Flexibility (engineering); Industrial organization; Key (lock); Knowledge management; Component (thermodynamics); Empirical evidence; Economic system; Economy; Economics; Management; Computer science","score_opus":0.05125382613449618,"score_gpt":0.23384994976328802,"score_spread":0.18259612362879185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969404234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94652617,0.005103165,0.0024475155,0.004123353,0.000036873913,0.00002013426,0.000067662644,0.000008038307,0.04166707],"genre_scores_gemma":[0.9985506,0.0007436721,0.00007398048,0.00005156363,0.000016434455,0.00000322602,0.000009343117,3.8071465e-7,0.0005507941],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999196,0.000357233,0.00004713164,0.000058640064,0.00015588406,0.00018502584],"domain_scores_gemma":[0.99335736,0.004339876,0.001098827,0.00008622769,0.00058695755,0.0005306731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015779465,0.00010402905,0.00033830808,0.0011155657,0.0004964936,0.003149955,0.00021733646,0.0010447397,0.0020772072],"category_scores_gemma":[0.0055041714,0.0000655868,0.00022250142,0.0014855646,0.0011118959,0.0025475249,0.0012405892,0.00056511,0.0001708889],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041938468,0.00061341684,0.4004462,0.0008128011,0.00018011889,0.005099034,0.0061389566,0.022622,0.004159903,0.49786624,0.0034340431,0.05820795],"study_design_scores_gemma":[0.00014649388,0.00070710055,0.44859105,0.0010934313,0.00022738092,0.0022942526,0.025499394,0.049940318,0.005142999,0.4244477,0.04178094,0.00012891943],"about_ca_topic_score_codex":0.0022986762,"about_ca_topic_score_gemma":0.002112422,"teacher_disagreement_score":0.003149955,"about_ca_system_score_codex":0.001247122,"about_ca_system_score_gemma":0.00093640375,"threshold_uncertainty_score":0.009048581},"labels":[],"label_agreement":null},{"id":"W1973779332","doi":"10.7202/1008652ar","title":"PME exportatrices et information en zones rurales ou zones urbaines","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02021050617374878,"score_gpt":0.24536754859026752,"score_spread":0.22515704241651874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973779332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421588,0.001610357,0.0017536955,0.0014471825,0.000021950565,0.00005368637,0.0016785058,0.000034782,0.05124109],"genre_scores_gemma":[0.98305815,0.0006046838,0.000940311,0.000105799154,0.000009004007,0.000032900756,0.0004484856,0.0000089597215,0.0147916805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988594,0.00039716094,0.000054119253,0.0001983349,0.00022245443,0.00026848816],"domain_scores_gemma":[0.9958462,0.0017826878,0.0008845893,0.00024882538,0.00088596455,0.00035180507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010045427,0.00028984703,0.00032782578,0.0019037675,0.0013502918,0.0034668418,0.00039048993,0.00049178564,0.016584923],"category_scores_gemma":[0.005684516,0.00018240244,0.00025590733,0.005914326,0.0011454228,0.0018101111,0.001527653,0.000518178,0.0009784092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004853649,0.000244244,0.74521846,0.00085254735,0.00018869051,0.0010486341,0.058330894,0.002476146,0.0032215451,0.043893084,0.004821192,0.1392193],"study_design_scores_gemma":[0.00002171697,0.0000876558,0.90232414,0.0002534968,0.000060713228,0.00025672358,0.040885385,0.0013587017,0.0010064302,0.0024911005,0.051219627,0.000034250508],"about_ca_topic_score_codex":0.29777625,"about_ca_topic_score_gemma":0.29000086,"teacher_disagreement_score":0.29777625,"about_ca_system_score_codex":0.0045270585,"about_ca_system_score_gemma":0.0027169576,"threshold_uncertainty_score":0.592086},"labels":[],"label_agreement":null},{"id":"W1976069194","doi":"10.17722/ijrbt.v3i3.157","title":"Factor Analysis Between Internal and External R&amp;D with Operational Performance moderated by Intellectual Property Rights","year":2013,"lang":"en","type":"article","venue":"International Journal of Research in Business and Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Materials science","score_opus":0.05939649895388177,"score_gpt":0.29651199961163716,"score_spread":0.23711550065775538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976069194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993476,0.00008532412,0.0016512972,0.00020233821,0.000036300502,0.00015767406,0.00040668555,0.000022515755,0.0039619454],"genre_scores_gemma":[0.997503,0.00004771901,0.0013413116,0.000020024472,0.000013016334,0.0001472783,0.00025395284,0.000005062535,0.00066860364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99364,0.0022362345,0.00073401036,0.00088671467,0.0017025019,0.0008005052],"domain_scores_gemma":[0.9611646,0.025879558,0.005950998,0.0019442319,0.0033147621,0.0017457643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074794055,0.0009311315,0.00063476275,0.0019802162,0.0008822562,0.0025313438,0.0006727602,0.00074611465,0.005901127],"category_scores_gemma":[0.020122474,0.00038741055,0.002076298,0.002449623,0.0017598238,0.0012898048,0.0016437859,0.0014518711,0.0005951322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030875287,0.00049478863,0.9687345,0.0001280682,0.00043365217,0.0001663214,0.0049520666,0.00093017914,0.0009919895,0.0021776399,0.0006118655,0.02007018],"study_design_scores_gemma":[0.000029083572,0.00048484505,0.9878072,0.000085424326,0.00014207976,0.00008245522,0.004360652,0.0034313546,0.0007391383,0.0010914587,0.0017073604,0.000038993167],"about_ca_topic_score_codex":0.004273314,"about_ca_topic_score_gemma":0.0030306433,"teacher_disagreement_score":0.0074794055,"about_ca_system_score_codex":0.0013399828,"about_ca_system_score_gemma":0.0034168228,"threshold_uncertainty_score":0.03955531},"labels":[],"label_agreement":null},{"id":"W1976451476","doi":"10.1093/cje/bei044","title":"The evolution and performance of biotechnology regional systems of innovation","year":2005,"lang":"en","type":"article","venue":"Cambridge Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Venture capital; Urban agglomeration; Industrial organization; Technology transfer; Business; Process (computing); Intellectual property; Biotechnology; Economics; Marketing; Economic geography; International trade; Finance; Biology; Political science; Computer science","score_opus":0.026901103393736952,"score_gpt":0.20194373635708981,"score_spread":0.17504263296335287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976451476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916677,0.0002473936,0.0005742443,0.00009518963,0.0000021276526,0.000014446472,0.00013350735,0.000022266806,0.007243072],"genre_scores_gemma":[0.99911994,0.00005466111,0.00027121566,0.000004619129,0.0000015846217,0.0000022970428,0.00006467033,0.0000037290447,0.00047736507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978752,0.00044790097,0.00009059677,0.00040407272,0.00053116836,0.00065105566],"domain_scores_gemma":[0.9876023,0.0034001933,0.0035283235,0.0010302967,0.0034352934,0.0010035805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302234,0.00016530721,0.00024797485,0.0034359184,0.0007450556,0.0037659558,0.00066166307,0.0006065707,0.001978836],"category_scores_gemma":[0.013864972,0.00018808935,0.00026558226,0.003427406,0.0017709386,0.0013877645,0.0016769576,0.00036987392,0.0005543824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045797243,0.0001669226,0.8285341,0.00017430275,0.000215744,0.00036130255,0.009172938,0.021095743,0.017943297,0.032250073,0.0012360347,0.0883915],"study_design_scores_gemma":[0.000017028753,0.00019332918,0.9785058,0.00001716719,0.000042225467,0.00019687416,0.0028240783,0.010105728,0.0025088137,0.002601684,0.0029456632,0.000041570904],"about_ca_topic_score_codex":0.050084405,"about_ca_topic_score_gemma":0.047484964,"teacher_disagreement_score":0.050084405,"about_ca_system_score_codex":0.0058438517,"about_ca_system_score_gemma":0.0020772822,"threshold_uncertainty_score":0.09958577},"labels":[],"label_agreement":null},{"id":"W1976914280","doi":"10.1504/ijev.2012.046520","title":"Factors that affect small business performance in Canada","year":2012,"lang":"en","type":"article","venue":"International Journal of Entrepreneurial Venturing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Small business; Affect (linguistics); Recession; Marketing; Business; Order (exchange); Feeling; Electronic business; Economics; Finance; Business model; Economic growth","score_opus":0.060995479569692354,"score_gpt":0.21660234607328166,"score_spread":0.1556068665035893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976914280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902754,0.00028202057,0.00007010373,0.0009452008,0.000009205786,0.00002056838,0.00055827026,0.000009964114,0.007829349],"genre_scores_gemma":[0.9976561,0.0002615373,0.00007113136,0.000052556883,0.0000025922548,0.000004706258,0.00029638747,0.000003711435,0.0016512328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873155,0.00008252577,0.000040959094,0.000081435755,0.0005435187,0.0005200233],"domain_scores_gemma":[0.9915487,0.00073487486,0.0011376842,0.00012581305,0.0035128063,0.0029401246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096868264,0.00024586407,0.00030589322,0.0013799334,0.00476263,0.0023416402,0.0006706623,0.0002759647,0.00282729],"category_scores_gemma":[0.005215678,0.00013506462,0.00021811017,0.0032152827,0.0015286081,0.00046510863,0.001159798,0.0007048687,0.00027682324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016293456,0.00011948035,0.95147014,0.00007342972,0.000033060365,0.00037902826,0.0073168045,0.00061124447,0.0007768331,0.0016126925,0.0045502987,0.032894067],"study_design_scores_gemma":[0.0000034358957,0.000028264942,0.9894372,0.000029788347,0.000008852924,0.000032355183,0.0066256584,0.00041410147,0.00018389044,0.00010438136,0.0031149208,0.000017226153],"about_ca_topic_score_codex":0.99260426,"about_ca_topic_score_gemma":0.99575657,"teacher_disagreement_score":0.03404112,"about_ca_system_score_codex":0.03404112,"about_ca_system_score_gemma":0.049758542,"threshold_uncertainty_score":0.2469868},"labels":[],"label_agreement":null},{"id":"W1976946851","doi":"10.1111/j.1465-7295.2007.00115.x","title":"CORPORATE PRODUCTIVITY GROWTH: CHAMPIONS, LEADERS, AND LAGGARDS","year":2009,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Park","funders":"","keywords":"Productivity; Economics; Debt; Financial distress; Sample (material); Monetary economics; Large sample; Demographic economics; Macroeconomics; Financial system","score_opus":0.10888059067194618,"score_gpt":0.25312861868610353,"score_spread":0.14424802801415737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976946851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983417,0.00031485848,0.00003544628,0.00021423989,0.000005866302,0.0000022453344,0.00013338077,0.0000019915888,0.00095033925],"genre_scores_gemma":[0.99936014,0.00008647667,0.000012272067,0.0000149439875,0.000012108289,0.0000011232269,0.0001015787,7.206767e-7,0.00041057286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967897,0.000045744193,0.000019196212,0.00005684146,0.00006972044,0.00012960551],"domain_scores_gemma":[0.9925006,0.0015730588,0.0037329106,0.00015910514,0.0005633246,0.0014710197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536857,0.000107973654,0.00020768518,0.0019291367,0.0003799787,0.0013528257,0.00024252378,0.0003752334,0.0032955864],"category_scores_gemma":[0.0060579153,0.00009235242,0.00009256834,0.0015764296,0.0006753754,0.0014512477,0.0008968107,0.00046858014,0.0005766274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013352357,0.000036069847,0.9875759,0.000014537736,0.000011177253,0.00014864992,0.0010758619,0.00012995966,0.0001556289,0.00044618224,0.000666401,0.009605994],"study_design_scores_gemma":[0.000006047751,0.00005824694,0.99650264,0.000015691267,0.0000048066513,0.000085534215,0.0018531603,0.00026018472,0.000078395,0.00031547723,0.0008151841,0.000004662767],"about_ca_topic_score_codex":0.00527736,"about_ca_topic_score_gemma":0.00924167,"teacher_disagreement_score":0.00527736,"about_ca_system_score_codex":0.00045637248,"about_ca_system_score_gemma":0.00031550459,"threshold_uncertainty_score":0.011024892},"labels":[],"label_agreement":null},{"id":"W1977552908","doi":"10.1111/1540-627x.00037","title":"Some Additional Comments on the Sources and Measurement of the Benefits of Small Business Assistance Programs","year":2002,"lang":"en","type":"article","venue":"Journal of Small Business Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Small business; Marketing; Business","score_opus":0.08713508742153823,"score_gpt":0.18819444093542204,"score_spread":0.1010593535138838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977552908","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002435857,0.0022962147,0.0050273845,0.9124636,0.04517318,0.0002493372,0.0023254862,0.0003836379,0.029645348],"genre_scores_gemma":[0.034270205,0.0046532615,0.009725997,0.7768802,0.053449795,0.00082787813,0.0011610333,0.00079580053,0.11823591],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98884785,0.003385276,0.0016808902,0.00074370246,0.004282282,0.0010600332],"domain_scores_gemma":[0.8619641,0.092468165,0.0072325314,0.002570495,0.034149293,0.0016153665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013413865,0.0021312505,0.0010542836,0.0021021243,0.004989544,0.0035850976,0.0033861287,0.016035594,0.05718711],"category_scores_gemma":[0.12188345,0.0009098879,0.0021228865,0.0031221386,0.002339658,0.0062423768,0.0026945844,0.010756706,0.010956404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000749593,0.000027055954,0.0004591433,0.00021957657,0.0000069476696,0.0003418209,0.00067614316,0.00018907432,0.00038541717,0.009839398,0.9814082,0.0063723037],"study_design_scores_gemma":[0.000031831525,0.000048839876,0.0031114365,0.000468392,0.000020988728,0.00027618898,0.0014402422,0.00044328242,0.0009857139,0.0060336096,0.98704743,0.000092140595],"about_ca_topic_score_codex":0.016622053,"about_ca_topic_score_gemma":0.020029148,"teacher_disagreement_score":0.05718711,"about_ca_system_score_codex":0.006133794,"about_ca_system_score_gemma":0.00431521,"threshold_uncertainty_score":0.19130993},"labels":[],"label_agreement":null},{"id":"W1978242285","doi":"10.7202/056469ar","title":"Les techniques électroniques de pointe au Canada et au Québec","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.08032615402484232,"score_gpt":0.3044950812082775,"score_spread":0.22416892718343517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978242285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2058869,0.017867185,0.5335009,0.0030811108,0.0008224307,0.0004249468,0.007661413,0.0020374106,0.22871776],"genre_scores_gemma":[0.6303468,0.014861966,0.22661522,0.00048100928,0.0000937113,0.00041714162,0.0017403077,0.00029546866,0.12514839],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99930406,0.000051428175,0.00001581884,0.00009249465,0.00042471284,0.00011143033],"domain_scores_gemma":[0.9990169,0.00029157716,0.000041908843,0.0000900832,0.0005363882,0.000023120325],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00084512826,0.0006317761,0.00045161918,0.004914802,0.0024816557,0.0022266726,0.0011671464,0.0009785588,0.015275896],"category_scores_gemma":[0.0028488827,0.00036370396,0.000639907,0.005731597,0.0010417858,0.001327392,0.0011253592,0.0011133951,0.0019506763],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020823753,0.0000985762,0.037199765,0.0015262972,0.00025269514,0.0020384144,0.009296485,0.027232954,0.09291757,0.10414901,0.02124689,0.7038331],"study_design_scores_gemma":[0.00006945811,0.00015174026,0.20978504,0.001109357,0.00032178054,0.0021994805,0.0125452485,0.05892709,0.11465713,0.04442626,0.5554366,0.0003708527],"about_ca_topic_score_codex":0.57856196,"about_ca_topic_score_gemma":0.77548176,"teacher_disagreement_score":0.99751836,"about_ca_system_score_codex":0.004608299,"about_ca_system_score_gemma":0.0033103738,"threshold_uncertainty_score":0.84783995},"labels":[],"label_agreement":null},{"id":"W1979596669","doi":"10.2139/ssrn.1020271","title":"The Impact of China's Millennium Labor Restructuring Program on Firm Performance and Employee Earnings","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Restructuring; Earnings; China; Business; Labour economics; Economics; Accounting; Finance; Political science","score_opus":0.00853264118461079,"score_gpt":0.2399594459347004,"score_spread":0.23142680475008962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979596669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978409,0.00016888876,0.000025432357,0.00048090945,0.0000147294395,0.000008007364,0.0002400075,0.000009013815,0.0012121245],"genre_scores_gemma":[0.99892163,0.00005220372,0.000012842971,0.00006894237,0.00001558617,0.0000029984064,0.00020899996,0.0000013092049,0.0007154305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993339,0.00008728105,0.000028337117,0.00006043499,0.000120039156,0.00036992988],"domain_scores_gemma":[0.99718434,0.00037316262,0.00096723525,0.00008891124,0.00036306743,0.0010232792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094752875,0.00026982493,0.0002965559,0.0007406482,0.00061262696,0.0011588582,0.00048651852,0.00078535714,0.0025135283],"category_scores_gemma":[0.0021439898,0.00009929939,0.00034462725,0.0008113779,0.00046816622,0.0004936363,0.00081198936,0.00064337585,0.00023472545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061198504,0.0004200037,0.97504073,0.00003181306,0.00011633604,0.0003571567,0.0002839353,0.0019905297,0.00077718,0.0011503876,0.0019929535,0.01722695],"study_design_scores_gemma":[0.000016342352,0.000096303855,0.998123,0.0000034131187,0.000031816242,0.000013782694,0.00023379743,0.0008364148,0.00012375854,0.000085056774,0.00043139202,0.000004826696],"about_ca_topic_score_codex":0.07178326,"about_ca_topic_score_gemma":0.150153,"teacher_disagreement_score":0.07178326,"about_ca_system_score_codex":0.0022125768,"about_ca_system_score_gemma":0.0050200685,"threshold_uncertainty_score":0.14273083},"labels":[],"label_agreement":null},{"id":"W1980811693","doi":"10.2202/1542-0485.1103","title":"Revisiting the Price Effects of Rising Concentration in U.S. Food Manufacturing","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural & Food Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Technological change; Economics; Meaning (existential); Market power; Technical change; Market concentration; Manufacturing; Industrial organization; Set (abstract data type); Econometrics; Microeconomics; Market structure; Macroeconomics; Business; Marketing; Productivity","score_opus":0.02090433867952882,"score_gpt":0.18940265032669262,"score_spread":0.1684983116471638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980811693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605157,0.002115665,0.0025953327,0.007731094,0.000069754016,0.000018522429,0.00025819213,0.000041596963,0.026654208],"genre_scores_gemma":[0.9975788,0.00067398587,0.00026107376,0.0003666474,0.00006525736,0.0000027746742,0.00005795144,0.000008427876,0.0009850574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996488,0.00007999751,0.000021787313,0.00006951412,0.00009018498,0.0000896817],"domain_scores_gemma":[0.9958055,0.0023650355,0.0011085691,0.00015602238,0.00039740882,0.00016736188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007058612,0.0003000992,0.0003772184,0.00093731284,0.0005848107,0.0017711207,0.0006573986,0.0009018751,0.0062702266],"category_scores_gemma":[0.0045080483,0.0001755205,0.0004900687,0.0013815127,0.0011982282,0.0018463824,0.0014356005,0.0015892311,0.0003231249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012467239,0.0011354296,0.5096294,0.0007121441,0.00046073788,0.006481701,0.0054354635,0.07338136,0.0131532885,0.20230351,0.013392867,0.17266741],"study_design_scores_gemma":[0.0001965745,0.00087566563,0.78952134,0.0002315284,0.00042613843,0.000485399,0.010873957,0.0574476,0.010387012,0.09890456,0.030558975,0.00009119072],"about_ca_topic_score_codex":0.026473952,"about_ca_topic_score_gemma":0.031217676,"teacher_disagreement_score":0.026473952,"about_ca_system_score_codex":0.0017355186,"about_ca_system_score_gemma":0.00070223334,"threshold_uncertainty_score":0.052639663},"labels":[],"label_agreement":null},{"id":"W1981051799","doi":"10.1080/13662711003633371","title":"Patterns of Innovation Capabilities in KIBS Firms: Evidence from the 2003 Statistics Canada Innovation Survey on Services","year":2010,"lang":"en","type":"article","venue":"Industry and Innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consolidation (business); Business; Marketing; Industrial organization; Knowledge acquisition; Service (business); Survey data collection; Knowledge management; Statistics; Computer science","score_opus":0.05660124607136479,"score_gpt":0.2511123155318927,"score_spread":0.19451106946052793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981051799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178797,0.00041106343,0.00015131888,0.00030849184,0.0000029439777,0.00002137047,0.0045400383,0.0000069196913,0.002769935],"genre_scores_gemma":[0.99593544,0.00041323085,0.00015227994,0.000032675693,0.0000032233577,0.000011025023,0.002997604,0.0000026592256,0.00045188348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996956,0.00032151694,0.00021379568,0.00027684792,0.0014475654,0.00078423973],"domain_scores_gemma":[0.9746328,0.005507483,0.00976512,0.0006904635,0.0071924627,0.0022116976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017610783,0.00025709393,0.00045260915,0.0073625175,0.0010132182,0.001554797,0.00085543183,0.00044650387,0.002047865],"category_scores_gemma":[0.013878931,0.00025636403,0.00045179963,0.018878402,0.0010708455,0.0008687273,0.0015031205,0.0006097008,0.00029440253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036763005,0.000029130839,0.99124104,0.00004268383,0.00004398286,0.000051787814,0.00087601633,0.0004337749,0.00008611376,0.00033929673,0.00070426957,0.006115299],"study_design_scores_gemma":[0.0000023984921,0.000009609554,0.99704295,0.000021035785,0.000009136191,0.00002119325,0.0015470735,0.00041995107,0.000055018576,0.00006573405,0.00079724554,0.0000086729015],"about_ca_topic_score_codex":0.9392526,"about_ca_topic_score_gemma":0.96886593,"teacher_disagreement_score":0.060747385,"about_ca_system_score_codex":0.010827791,"about_ca_system_score_gemma":0.012085153,"threshold_uncertainty_score":0.122210205},"labels":[],"label_agreement":null},{"id":"W1982898936","doi":"10.5430/ijba.v5n3p181","title":"Analysis of Impact of the Transnational Corporations’ R &amp; D Investment on Innovation Capability of the High-Tech Industry in Gansu Province","year":2014,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Spillover effect; Competition (biology); Investment (military); High tech; Crowding out; Business; Production (economics); Function (biology); Economic geography; Industrial organization; Economics; Monetary economics; Microeconomics; Political science","score_opus":0.03824808401840031,"score_gpt":0.27609156692613046,"score_spread":0.23784348290773016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982898936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808514,0.000093219314,0.00013455136,0.00008222199,0.0000024419815,0.0000034849743,0.00019391552,0.0000056968743,0.0013991629],"genre_scores_gemma":[0.9991341,0.00006218187,0.000053106785,0.0000070580622,0.0000021196777,0.0000020150594,0.00016361177,7.811128e-7,0.0005748824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950635,0.00013112438,0.000022067536,0.00007132842,0.00009176095,0.000177416],"domain_scores_gemma":[0.99810743,0.000677002,0.00040127058,0.00007712848,0.00041880616,0.00031834576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067483913,0.00024286626,0.00029206873,0.00072337565,0.00020022699,0.0006600303,0.0002589515,0.00019536243,0.0014725204],"category_scores_gemma":[0.0016054751,0.00010515538,0.00058161526,0.00085336034,0.00025828995,0.0003179074,0.0005542955,0.00037375907,0.000099858196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001730859,0.000076005104,0.9671785,0.00004715611,0.00024317736,0.0008303133,0.00019573346,0.01808337,0.0016169933,0.0009122009,0.00041912845,0.010224324],"study_design_scores_gemma":[0.0000046463006,0.000060820446,0.9892888,0.0000052326473,0.00006343704,0.000034558503,0.0003293926,0.009462695,0.0003326162,0.00006868317,0.00034404214,0.0000050631024],"about_ca_topic_score_codex":0.16487724,"about_ca_topic_score_gemma":0.14535278,"teacher_disagreement_score":0.16487724,"about_ca_system_score_codex":0.0013808169,"about_ca_system_score_gemma":0.0018772662,"threshold_uncertainty_score":0.32783508},"labels":[],"label_agreement":null},{"id":"W1983348607","doi":"10.1080/13504850601018122","title":"Entry barriers and markup ratios: evidence from OECD countries","year":2008,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Barriers to entry; Markup language; Profitability index; Natural experiment; International economics; Monetary economics; Economics; Business; Industrial organization; Market structure; Finance; Computer science","score_opus":0.021349660929775117,"score_gpt":0.1783706782330165,"score_spread":0.1570210173032414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983348607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97797024,0.003238938,0.00038142892,0.00021300615,0.00001412144,0.000019077612,0.0027908625,0.000041022293,0.015331289],"genre_scores_gemma":[0.994985,0.0016200965,0.00013697594,0.000066219625,0.000020559437,0.000010993251,0.002628108,0.0000103323555,0.0005217416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991585,0.00016634267,0.0000991121,0.00011973057,0.00028809244,0.00016818648],"domain_scores_gemma":[0.98122656,0.004163107,0.011983101,0.00064520055,0.0012852019,0.0006968642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013930651,0.0002732242,0.00042096106,0.0025533184,0.0003392633,0.0018195811,0.00027449237,0.0002877254,0.0021793665],"category_scores_gemma":[0.0073575154,0.0001385649,0.00045237684,0.0039722696,0.00072037964,0.00067384366,0.0010629923,0.0004744914,0.00038693572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034846776,0.000065129956,0.9773194,0.00031685864,0.00029455067,0.00044638873,0.00071975053,0.0012261228,0.0005052109,0.002223556,0.0016181513,0.014916302],"study_design_scores_gemma":[0.000016453929,0.000066702756,0.99427503,0.000063215266,0.000083689134,0.0001432362,0.0005050303,0.00016828715,0.0005834333,0.00028717116,0.003791294,0.000016445489],"about_ca_topic_score_codex":0.010558197,"about_ca_topic_score_gemma":0.009535879,"teacher_disagreement_score":0.010558197,"about_ca_system_score_codex":0.00046654418,"about_ca_system_score_gemma":0.00039731382,"threshold_uncertainty_score":0.020993471},"labels":[],"label_agreement":null},{"id":"W1984493674","doi":"10.2139/ssrn.242093","title":"Corporate Tournaments, Human Capital Acquisition, and the Firm Size-Wage Relation","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Human capital; Wage; Business; Labour economics; Business administration; Economics; Market economy","score_opus":0.01244475309128867,"score_gpt":0.19739761672536024,"score_spread":0.18495286363407157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984493674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948153,0.00042799872,0.00044043918,0.00038398392,0.000012875282,0.000007826401,0.000072125324,0.000010987865,0.0038283505],"genre_scores_gemma":[0.9986607,0.0000818451,0.000056793153,0.00003876726,0.000023316088,0.000003908706,0.000056514196,0.0000017294201,0.0010763934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994204,0.0002478467,0.000031731368,0.00006981403,0.00005564187,0.0001746006],"domain_scores_gemma":[0.94795734,0.031317364,0.012660982,0.00097266055,0.00069327344,0.0063983207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018261715,0.00018365722,0.0003556557,0.0007786794,0.00059175515,0.0016678864,0.0004271273,0.0010464749,0.012105105],"category_scores_gemma":[0.012373781,0.00014016942,0.00027250487,0.00096405187,0.0010945606,0.00077981886,0.0006888486,0.0011647901,0.0006608315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000796536,0.000592167,0.97298265,0.000030614614,0.00010989591,0.0002867368,0.00025345708,0.0023489792,0.00078722683,0.0050898585,0.0010189784,0.015702901],"study_design_scores_gemma":[0.00006908932,0.00033833637,0.9848846,0.00001396903,0.00004330775,0.00019578659,0.00051265623,0.0048689707,0.000219755,0.007995131,0.0008421729,0.00001629399],"about_ca_topic_score_codex":0.0044711344,"about_ca_topic_score_gemma":0.008073,"teacher_disagreement_score":0.012105105,"about_ca_system_score_codex":0.00052922545,"about_ca_system_score_gemma":0.0004182519,"threshold_uncertainty_score":0.040495634},"labels":[],"label_agreement":null},{"id":"W1985519457","doi":"10.1111/j.0008-4085.2005.00328.x","title":"Firm survival and exit in response to trade liberalization","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Leverage (statistics); Tariff; Free trade; Vulnerability (computing); International economics; Economics; Business; Free trade agreement; Trade barrier; Liberalization; International trade; Market economy","score_opus":0.1286954946657694,"score_gpt":0.18902549981050817,"score_spread":0.06033000514473877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985519457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947594,0.00022162627,0.00014229739,0.000606626,0.000008296046,0.000009606819,0.00063372945,0.000008713223,0.003609661],"genre_scores_gemma":[0.9984334,0.00004766705,0.000011307662,0.0000269231,0.0000060499583,0.0000014279775,0.00030350543,8.0992027e-7,0.0011688987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938524,0.00006366148,0.000022329577,0.000072621915,0.00012529969,0.00033083707],"domain_scores_gemma":[0.9869819,0.0029409754,0.005364116,0.00033338918,0.0020236115,0.002355998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012035966,0.00013740128,0.00033395496,0.00085219025,0.0007031189,0.0016178779,0.00035978705,0.0007254888,0.0055398676],"category_scores_gemma":[0.009435274,0.00007371137,0.00029548063,0.0008482049,0.0007670537,0.0006106508,0.0007651016,0.0010811136,0.00039548936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007494811,0.00011454196,0.9694361,0.00003171976,0.00007669973,0.00038552782,0.00059117225,0.0066209384,0.0007575655,0.0020879167,0.002489003,0.016659433],"study_design_scores_gemma":[0.000012792041,0.00009466825,0.9929791,0.000012612011,0.000020297191,0.000062769,0.0011569014,0.0028754247,0.0002782022,0.001052866,0.0014372827,0.000017127277],"about_ca_topic_score_codex":0.1979699,"about_ca_topic_score_gemma":0.2617517,"teacher_disagreement_score":0.1979699,"about_ca_system_score_codex":0.0032364677,"about_ca_system_score_gemma":0.0014095563,"threshold_uncertainty_score":0.3936352},"labels":[],"label_agreement":null},{"id":"W1985639056","doi":"10.2139/ssrn.861184","title":"Who Enters, Where, and Why? The Influence of Capabilities and Initial Resource Endowments on the Location Choices of New Enterprises","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resource (disambiguation); Business; Industrial organization; Computer science","score_opus":0.01303833095892014,"score_gpt":0.22008412386198853,"score_spread":0.20704579290306838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985639056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894376,0.00034777282,0.0017323551,0.0012082357,0.0000067856527,0.000008311958,0.00010853866,0.00000739278,0.007143056],"genre_scores_gemma":[0.99877006,0.00016291343,0.00021905702,0.000029144521,0.0000066027974,0.0000022804625,0.000020621732,0.000004366522,0.0007850084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886024,0.00060151477,0.000047978236,0.00013025616,0.00007722965,0.00028277765],"domain_scores_gemma":[0.9727869,0.017419074,0.005210683,0.0008666824,0.0009075627,0.0028090982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022306426,0.0001712605,0.00050185766,0.0006003006,0.00060936296,0.0042883568,0.0005380846,0.0010574305,0.0075209066],"category_scores_gemma":[0.016254524,0.0003541096,0.00038765566,0.00067651336,0.0018414337,0.0036930353,0.0014417849,0.00098298,0.00097409525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001964406,0.0005025516,0.8384077,0.00016766878,0.00034499404,0.0015925337,0.0037865513,0.030633181,0.004583745,0.067647025,0.0021732238,0.048196416],"study_design_scores_gemma":[0.00021842853,0.0005309218,0.71457833,0.00024959457,0.00039531817,0.0011942409,0.024661286,0.048385598,0.0036638235,0.19844685,0.0074301544,0.00024550947],"about_ca_topic_score_codex":0.008321144,"about_ca_topic_score_gemma":0.015477933,"teacher_disagreement_score":0.008321144,"about_ca_system_score_codex":0.0008291218,"about_ca_system_score_gemma":0.00074477313,"threshold_uncertainty_score":0.025159955},"labels":[],"label_agreement":null},{"id":"W1986338457","doi":"10.1016/j.nbt.2009.03.006","title":"Growth and profitability in small privately held biotech firms: preliminary findings","year":2009,"lang":"en","type":"article","venue":"New Biotechnology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Profitability index; Business; Biotechnology; Finance; Biology","score_opus":0.02674441366814819,"score_gpt":0.2142705207869496,"score_spread":0.1875261071188014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986338457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900395,0.00010298273,0.000042625947,0.00016223584,0.0000014170826,0.0000024545893,0.00007821262,0.0000018585533,0.0006042829],"genre_scores_gemma":[0.99944323,0.00006771715,0.00001890541,0.000021507713,0.000011213333,0.000002265487,0.00011164851,8.8999775e-7,0.00032260784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995265,0.00014569452,0.000027537691,0.00006620998,0.00008997165,0.00014413727],"domain_scores_gemma":[0.97080684,0.018042725,0.006508532,0.00055841345,0.0011922243,0.0028913293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011274365,0.00018536656,0.0004040801,0.0007268258,0.0005640986,0.0013473976,0.00042896508,0.00077527127,0.002225639],"category_scores_gemma":[0.008799805,0.00016539046,0.00038451015,0.001317075,0.0012718241,0.0010894394,0.0009498513,0.000887517,0.00041732553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010354519,0.00047531363,0.98832744,0.000023437293,0.000054027103,0.00044833572,0.00073353114,0.00095216435,0.0010245111,0.0006413819,0.00028931358,0.0059950314],"study_design_scores_gemma":[0.00002613279,0.00018203976,0.9963188,0.000005561541,0.000029038192,0.00010290132,0.0011461593,0.0010370702,0.00027812095,0.0006395233,0.00022975056,0.0000049759233],"about_ca_topic_score_codex":0.016618352,"about_ca_topic_score_gemma":0.034907922,"teacher_disagreement_score":0.016618352,"about_ca_system_score_codex":0.0009805883,"about_ca_system_score_gemma":0.0008359887,"threshold_uncertainty_score":0.033043206},"labels":[],"label_agreement":null},{"id":"W1986356669","doi":"10.1142/s1084946705000173","title":"POVERTY AMONG SELF-EMPLOYED BUSINESSPEOPLE IN A RICH COUNTRY: A MISUNDERSTOOD AND DISTINCT REALITY","year":2005,"lang":"en","type":"article","venue":"Journal of Developmental Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poverty; Self employed; Self-employment; Poor people; Quarter (Canadian coin); Demographic economics; Distribution (mathematics); Falling (accident); Poverty level; Economics; Economic growth; Psychology; Entrepreneurship; Geography","score_opus":0.026077592359556267,"score_gpt":0.21615887965038222,"score_spread":0.19008128729082596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986356669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96551913,0.010626793,0.0007849101,0.015242683,0.000103732855,0.000006713089,0.00008626525,0.000008761616,0.007621039],"genre_scores_gemma":[0.99375856,0.004703938,0.00021571091,0.0007332743,0.00005583423,0.0000063167818,0.000021140626,0.0000039973556,0.0005013693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989729,0.0005065926,0.00005484202,0.00007734525,0.00015282423,0.00023544142],"domain_scores_gemma":[0.9985464,0.00061186927,0.00033296048,0.000060567312,0.00021574997,0.00023248092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011929736,0.00016589793,0.00045739525,0.0015185644,0.0021676426,0.0028638737,0.00042421502,0.0008438118,0.00083186146],"category_scores_gemma":[0.0026851222,0.00012974125,0.00022462658,0.0013230583,0.004204603,0.00313832,0.0024405315,0.0010955693,0.00008205161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017946043,0.00023532243,0.42459294,0.0010638639,0.00025935058,0.0054453667,0.28971896,0.0009512589,0.0012950222,0.069944285,0.018831361,0.1874828],"study_design_scores_gemma":[0.0000071591776,0.00018297674,0.39589784,0.0015955566,0.000102778664,0.003696967,0.51771826,0.0006950457,0.0005702109,0.01802908,0.06142208,0.00008203988],"about_ca_topic_score_codex":0.012087424,"about_ca_topic_score_gemma":0.019229317,"teacher_disagreement_score":0.012087424,"about_ca_system_score_codex":0.000916429,"about_ca_system_score_gemma":0.0014027442,"threshold_uncertainty_score":0.024034142},"labels":[],"label_agreement":null},{"id":"W1986374537","doi":"10.7202/1008674ar","title":"La PME, terrain d'innovations salariales ?","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02774919544117305,"score_gpt":0.25672474927076694,"score_spread":0.2289755538295939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986374537","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12795125,0.035195664,0.07891836,0.18914714,0.0011641305,0.00035720924,0.00028174845,0.00031312057,0.56667143],"genre_scores_gemma":[0.9401303,0.013541283,0.01347623,0.0055753165,0.00049582473,0.0002523991,0.00006258127,0.00005720642,0.026408963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9895224,0.0059145736,0.00024515679,0.0012292772,0.002100767,0.0009878972],"domain_scores_gemma":[0.9771713,0.015147588,0.0025963646,0.0019331235,0.0017890083,0.0013626253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009760809,0.0004833973,0.000535378,0.0017904516,0.0025456643,0.008975358,0.0018671037,0.0026589013,0.012210806],"category_scores_gemma":[0.024611037,0.00031911902,0.0005474021,0.0026419507,0.013457605,0.0098512005,0.0048325644,0.0039100293,0.001697509],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042050287,0.00010477796,0.006406613,0.0005890639,0.000035665737,0.00018624972,0.010971058,0.0008971083,0.0004570919,0.8819994,0.003940946,0.09436996],"study_design_scores_gemma":[0.000048006692,0.00022385683,0.022566663,0.0022859946,0.00006463852,0.00039514943,0.02420638,0.0029087367,0.0016564941,0.54873085,0.39684004,0.000073162315],"about_ca_topic_score_codex":0.004813463,"about_ca_topic_score_gemma":0.005251144,"teacher_disagreement_score":0.012210806,"about_ca_system_score_codex":0.0064368276,"about_ca_system_score_gemma":0.0086520845,"threshold_uncertainty_score":0.05162072},"labels":[],"label_agreement":null},{"id":"W1987167428","doi":"10.1111/j.0008-4085.2004.00009.x","title":"Sources of aggregate labour productivity growth in Canada and the United States","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Economics; Tertiary sector of the economy; Aggregate (composite); Multifactor productivity; Labour economics; Service (business); Decomposition; Manufacturing sector; Economy; Total factor productivity; Macroeconomics","score_opus":0.05839897672871032,"score_gpt":0.15394580893064766,"score_spread":0.09554683220193734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987167428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88579696,0.00660239,0.0024337098,0.0047293976,0.00015089566,0.00008806201,0.055659506,0.00024356174,0.044295516],"genre_scores_gemma":[0.9797397,0.0025492916,0.0007502877,0.00012866747,0.00003427654,0.000028344875,0.010346336,0.0000336373,0.00638946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850756,0.000068000845,0.000042460648,0.00009946183,0.0008129075,0.0004696482],"domain_scores_gemma":[0.9957974,0.0002987265,0.00047126698,0.00009865103,0.002898499,0.000435461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009796143,0.00042954553,0.00043862595,0.009649697,0.0017874347,0.0026275944,0.0005573087,0.00028782358,0.001842362],"category_scores_gemma":[0.004178911,0.00020535788,0.00042841423,0.019600771,0.00055901305,0.0004823412,0.0017312387,0.000795992,0.00026753717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004003289,0.00004731289,0.7764811,0.0003144946,0.00041869594,0.0009507943,0.0042034495,0.012846194,0.0012585453,0.025749708,0.038922217,0.13840713],"study_design_scores_gemma":[0.000020602607,0.000010126168,0.93677264,0.00019037887,0.00011333347,0.00013459171,0.0028140426,0.00924917,0.00096850225,0.003278703,0.046382364,0.000065570246],"about_ca_topic_score_codex":0.98697656,"about_ca_topic_score_gemma":0.9867654,"teacher_disagreement_score":0.040052116,"about_ca_system_score_codex":0.040052116,"about_ca_system_score_gemma":0.042307284,"threshold_uncertainty_score":0.29059982},"labels":[],"label_agreement":null},{"id":"W1987308615","doi":"10.1016/j.jom.2006.05.014","title":"Factors affecting the evolution of manufacturing in Canada: An historical perspective","year":2006,"lang":"en","type":"article","venue":"Journal of Operations Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Petrel Robertson Consulting (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Manufacturing; Competition (biology); Business; Investment (military); Government (linguistics); Manufacturing operations; Industrial organization; Marketing; Politics; Engineering; Political science; Manufacturing engineering","score_opus":0.02593260685531593,"score_gpt":0.21318953546268735,"score_spread":0.18725692860737142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987308615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55422866,0.0955375,0.0025003585,0.035872202,0.0007644901,0.000117611155,0.004337768,0.00011241408,0.30652907],"genre_scores_gemma":[0.9433779,0.040980496,0.0011750854,0.0008595292,0.00009998437,0.000012298446,0.0005701106,0.000027485188,0.0128971385],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9985781,0.000100181525,0.000050310195,0.0001334733,0.00059963315,0.00053835],"domain_scores_gemma":[0.995902,0.00044775874,0.00040233062,0.000058104175,0.0027513772,0.00043838617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011150414,0.0002730768,0.00021638822,0.0057414235,0.007848734,0.004146852,0.00084878376,0.00063819677,0.005513189],"category_scores_gemma":[0.0030134434,0.00023312985,0.00028751558,0.011148055,0.0031319372,0.0010411042,0.001180422,0.0013646628,0.00021019271],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024661407,0.00012995611,0.21208367,0.0018662274,0.00018207676,0.0052063465,0.046513874,0.0077280463,0.002316007,0.33283955,0.041601557,0.3492862],"study_design_scores_gemma":[0.0000057124075,0.000037189657,0.37163192,0.0010363952,0.00007478634,0.00069444487,0.021205796,0.0013443998,0.0012381222,0.0036935876,0.59890795,0.00012970343],"about_ca_topic_score_codex":0.9920826,"about_ca_topic_score_gemma":0.99617153,"teacher_disagreement_score":0.12712386,"about_ca_system_score_codex":0.12712386,"about_ca_system_score_gemma":0.07755123,"threshold_uncertainty_score":0.9223525},"labels":[],"label_agreement":null},{"id":"W1987519890","doi":"10.1111/j.0013-0133.2005.976_4.x","title":"Innovation and Knowledge Creation in an Open Economy: Canadian Industry and International Implications","year":2005,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Nationality; Open innovation; European union; Function (biology); Economics; Economic geography; Business; Marketing; Political science; International trade","score_opus":0.06733343217971496,"score_gpt":0.30310316900881,"score_spread":0.23576973682909505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987519890","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13272898,0.062624924,0.0012576085,0.091134414,0.00066463917,0.00010578724,0.0030806535,0.000074975695,0.7083281],"genre_scores_gemma":[0.86131465,0.074507445,0.0017706759,0.003500496,0.00021984705,0.000040958555,0.0015879814,0.000033145378,0.057024762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9966539,0.0001737222,0.00008085276,0.0002791974,0.0014638416,0.0013484102],"domain_scores_gemma":[0.9911714,0.0014727016,0.0005225908,0.00022324633,0.0051689963,0.001440953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023211155,0.00047659423,0.00055051455,0.005797022,0.007068877,0.008078065,0.0015790955,0.0015146155,0.010357667],"category_scores_gemma":[0.009625298,0.00020901517,0.0008984443,0.017299196,0.0044374205,0.0036356915,0.0031416009,0.0023595765,0.00047053234],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023189485,0.00019621188,0.03389846,0.000800712,0.00007488192,0.0012162334,0.008459125,0.0036047732,0.00046256662,0.6852366,0.08971158,0.17610699],"study_design_scores_gemma":[0.00008775032,0.00007729617,0.22410417,0.0016420104,0.00023444301,0.00058850367,0.02414717,0.005752875,0.00080688036,0.12039327,0.6219067,0.00025897173],"about_ca_topic_score_codex":0.9924798,"about_ca_topic_score_gemma":0.9901843,"teacher_disagreement_score":0.10984161,"about_ca_system_score_codex":0.10984161,"about_ca_system_score_gemma":0.12366823,"threshold_uncertainty_score":0.79696035},"labels":[],"label_agreement":null},{"id":"W1987874713","doi":"10.1108/14754390810906382","title":"Innovapost executes on high‐speed merger and acquisition activities","year":2008,"lang":"en","type":"article","venue":"Strategic HR Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Timeline; Notice; Originality; Transition (genetics); Transition management (governance); Business; Value (mathematics); Public relations; Marketing; Plan (archaeology); Operations management; Knowledge management; Process management; Psychology; Computer science; Engineering; Political science; Social psychology","score_opus":0.08145343680496417,"score_gpt":0.2497681534685146,"score_spread":0.16831471666355044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987874713","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3957655,0.00017669705,0.16077481,0.0030812062,0.0003463598,0.002030181,0.0005546142,0.020333165,0.41693735],"genre_scores_gemma":[0.6761759,0.00019183915,0.20191807,0.000643177,0.000097909935,0.00077708205,0.0010286411,0.0021190145,0.1170484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942719,0.0014630592,0.00020396753,0.00075546233,0.0023156488,0.0009900152],"domain_scores_gemma":[0.9927468,0.0018351545,0.0007518394,0.0019368016,0.001275874,0.0014535768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004544776,0.00043252367,0.0002534474,0.0011544318,0.0017813822,0.003353962,0.0012526028,0.00061748514,0.022278322],"category_scores_gemma":[0.008158987,0.00059517584,0.00031106093,0.00072103314,0.0012350484,0.002898795,0.006085941,0.0012705729,0.010362077],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058863434,0.0013606817,0.038040463,0.00023906011,0.000031421594,0.0011727997,0.009796142,0.0025051672,0.0175507,0.026041726,0.06780371,0.83486956],"study_design_scores_gemma":[0.0002411556,0.0033280253,0.0939948,0.00031719715,0.00006128587,0.004285917,0.013544832,0.016899083,0.035487004,0.012384438,0.8191335,0.00032270217],"about_ca_topic_score_codex":0.0022778756,"about_ca_topic_score_gemma":0.0038903775,"teacher_disagreement_score":0.022278322,"about_ca_system_score_codex":0.001873324,"about_ca_system_score_gemma":0.0045628725,"threshold_uncertainty_score":0.074528396},"labels":[],"label_agreement":null},{"id":"W1988741788","doi":"10.1108/01443570210433535","title":"Do foreign‐owned firms manage advanced manufacturing technology better?","year":2002,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Manufacturing sector; Proposition; Investment (military); Foreign direct investment; Operations management; Regression analysis; Statistical analysis; Statistical hypothesis testing; Manufacturing; Test (biology); Marketing; Economics; Computer science; Labour economics; Statistics","score_opus":0.02474558895821804,"score_gpt":0.23640627766699407,"score_spread":0.21166068870877602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988741788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973816,0.00023924705,0.000050884548,0.0005982928,0.000006470478,0.000004968317,0.000045272373,0.0000034276013,0.0016697461],"genre_scores_gemma":[0.9988105,0.00021920633,0.00006511382,0.00019061893,0.000013682455,0.0000030481856,0.000072019175,0.0000010933011,0.0006245846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995732,0.000086860964,0.000026846705,0.00006527374,0.00006637334,0.00018147027],"domain_scores_gemma":[0.9938705,0.00081175606,0.004102324,0.00018163677,0.00033022615,0.0007036162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011118276,0.00019524753,0.00029558432,0.0005367753,0.00039931014,0.0018076443,0.0002817293,0.0007220292,0.0037305981],"category_scores_gemma":[0.0037429822,0.00011496714,0.0002240089,0.0007155614,0.0005650971,0.0019043167,0.00048234075,0.00048094412,0.00062136556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010235188,0.0003010444,0.9742643,0.000036404756,0.00008527338,0.00016031283,0.0013757959,0.0006352043,0.0005993701,0.0006996339,0.0007474585,0.020992802],"study_design_scores_gemma":[0.00002386635,0.00016739256,0.991634,0.000025698942,0.00003154537,0.00011303168,0.0045470353,0.00070531986,0.00029631605,0.00038872715,0.0020542976,0.000012783244],"about_ca_topic_score_codex":0.019485023,"about_ca_topic_score_gemma":0.026296666,"teacher_disagreement_score":0.019485023,"about_ca_system_score_codex":0.00086401857,"about_ca_system_score_gemma":0.0007699919,"threshold_uncertainty_score":0.038743198},"labels":[],"label_agreement":null},{"id":"W1988844636","doi":"10.1023/b:sbej.0000032037.34584.a7","title":"Small North American Producers Give Ground in the 1990s","year":2004,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada; Statistics Canada","funders":"Industry Canada","keywords":"Productivity; Entrepreneurship; Order (exchange); Economics; Fair share; Business; Demographic economics; Economic geography; Economic growth; Public economics","score_opus":0.04920030698162397,"score_gpt":0.1966420306348104,"score_spread":0.14744172365318642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988844636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8240489,0.0056333384,0.0010915118,0.026429808,0.0008855041,0.0000740214,0.0018283192,0.00015523759,0.13985354],"genre_scores_gemma":[0.907097,0.0024071608,0.00040662367,0.002636094,0.00036557746,0.00002674049,0.00082592695,0.000033708406,0.08620112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996679,0.000034731893,0.00000747236,0.00005003029,0.00012174712,0.00011808679],"domain_scores_gemma":[0.99718046,0.00067809486,0.00046546452,0.00011149606,0.0008843121,0.0006801252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012249809,0.00023775357,0.00031794255,0.0012884875,0.0024164324,0.0030050299,0.0002819037,0.0013631424,0.009468892],"category_scores_gemma":[0.0055887327,0.00021277553,0.00017599242,0.0017328358,0.0009285888,0.0017525352,0.0012025606,0.0014448377,0.0012836343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014740777,0.00037026708,0.377333,0.00047922405,0.00007454267,0.0023588606,0.02884572,0.0010888516,0.0043378887,0.06635514,0.24507351,0.272209],"study_design_scores_gemma":[0.00003450118,0.0001216607,0.46595716,0.00020394247,0.00003645295,0.00018693703,0.017702254,0.0003870848,0.0013431244,0.0040866155,0.5099217,0.000018451396],"about_ca_topic_score_codex":0.07442378,"about_ca_topic_score_gemma":0.2516202,"teacher_disagreement_score":0.07442378,"about_ca_system_score_codex":0.0040459977,"about_ca_system_score_gemma":0.0020403874,"threshold_uncertainty_score":0.14798117},"labels":[],"label_agreement":null},{"id":"W1988858428","doi":"10.5539/ibr.v4n3p22","title":"The Determinants of Failure of Small Manufacturing Firms: Assessing the Macroeconomic Factors","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Openness to experience; Economics; Error correction model; Manufacturing sector; Wage; Short run; Econometrics; Exchange rate; Monetary economics; Macroeconomics; Labour economics","score_opus":0.1666927777907921,"score_gpt":0.33956555162795216,"score_spread":0.17287277383716004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988858428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918073,0.0001696321,0.00021179618,0.000063977495,0.0000024018611,0.000005149915,0.0000834716,0.0000030506592,0.0002797454],"genre_scores_gemma":[0.9997547,0.000040370975,0.000029039655,0.0000028496463,0.0000059450217,0.000001467961,0.00009799081,6.9116567e-7,0.00006690076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991486,0.00021232369,0.00011524379,0.00012001747,0.0001811268,0.00022252626],"domain_scores_gemma":[0.9613082,0.013413968,0.01933415,0.0011035491,0.00216746,0.0026726515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241011,0.00033030132,0.0005857808,0.0020499006,0.0003613199,0.0010864094,0.00047111438,0.0007596565,0.0021907487],"category_scores_gemma":[0.014240388,0.0001927118,0.00049185805,0.0017886143,0.0007229394,0.00083857134,0.0011053818,0.00072346046,0.00037808547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004392944,0.000024284793,0.99622285,0.000009342037,0.00004564747,0.00015886212,0.000085978834,0.0010417787,0.00015069752,0.00007527531,0.00005823653,0.002083149],"study_design_scores_gemma":[0.0000027547105,0.00006840526,0.99693227,0.0000067963174,0.000019084553,0.00007853995,0.00023654194,0.0022423125,0.00012051276,0.00015676451,0.00013064432,0.000005404964],"about_ca_topic_score_codex":0.0072636204,"about_ca_topic_score_gemma":0.006964409,"teacher_disagreement_score":0.0072636204,"about_ca_system_score_codex":0.0005374357,"about_ca_system_score_gemma":0.00041746077,"threshold_uncertainty_score":0.014442682},"labels":[],"label_agreement":null},{"id":"W1989206910","doi":"10.1007/s00181-014-0807-9","title":"A nonparametric analysis of firm size, leverage and labour productivity distribution dynamics","year":2014,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Lakehead University; Bank of Canada","funders":"","keywords":"Econometrics; Nonparametric statistics; Pairwise comparison; Stochastic dominance; Leverage (statistics); Economics; Statistics; Parametric statistics; Mathematics","score_opus":0.022939371652521,"score_gpt":0.23949290293511613,"score_spread":0.21655353128259514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989206910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7656485,0.00067772774,0.22857673,0.00053763005,0.000029446786,0.00003698481,0.00054128945,0.00023325237,0.0037184772],"genre_scores_gemma":[0.9922931,0.00016167799,0.0052117463,0.00002323936,0.000060821578,0.00001597768,0.00022159395,0.00002267428,0.0019891507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991598,0.0004302066,0.000026451675,0.00014579672,0.00011233714,0.00012545877],"domain_scores_gemma":[0.9758337,0.019158904,0.0019366934,0.0018920355,0.0007405139,0.00043815002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034184568,0.00031101055,0.0007759638,0.0013985931,0.0004389922,0.0013118639,0.0011488342,0.00064448576,0.0042889696],"category_scores_gemma":[0.02343285,0.00031389314,0.00095034955,0.0015089278,0.0013813634,0.0017221943,0.001064807,0.0010646412,0.00031076572],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006659644,0.0008489431,0.20997398,0.00024079204,0.00061427976,0.0010580441,0.0010342376,0.35092542,0.008317063,0.23093712,0.006558667,0.18882547],"study_design_scores_gemma":[0.000024083183,0.000116008116,0.07240467,0.000023320283,0.00006688823,0.0002676172,0.00020374218,0.87775815,0.00046493235,0.04747402,0.0011604469,0.00003607193],"about_ca_topic_score_codex":0.0066187936,"about_ca_topic_score_gemma":0.005040175,"teacher_disagreement_score":0.0066187936,"about_ca_system_score_codex":0.00060877844,"about_ca_system_score_gemma":0.00070812774,"threshold_uncertainty_score":0.018078744},"labels":[],"label_agreement":null},{"id":"W1989434825","doi":"10.2202/1524-5861.1042","title":"Globalization and Wage Inequality in the Canadian Manufacturing Sector: A Time Series Analysis","year":2006,"lang":"en","type":"article","venue":"Global economy journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Wage; Immigration; Globalization; Foreign direct investment; Labour economics; Inequality; Position (finance); Wage inequality; Production (economics); Investment (military); Capital (architecture); Wage share; Efficiency wage; Macroeconomics; Market economy","score_opus":0.013249188075300039,"score_gpt":0.20056804892754035,"score_spread":0.1873188608522403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989434825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99574065,0.00061932596,0.00029304423,0.0004780794,0.000013546157,0.000017160239,0.0013757268,0.000011704119,0.0014507184],"genre_scores_gemma":[0.9968111,0.00047260927,0.00015956572,0.000031189433,0.000010737872,0.000007986303,0.0015748957,0.000003341751,0.0009286029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994289,0.000057392037,0.000022177639,0.00007357275,0.00018139252,0.00023647962],"domain_scores_gemma":[0.998398,0.0003136346,0.00039799343,0.000088182016,0.00047800175,0.00032424222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009548723,0.00030706637,0.0004956411,0.0018316567,0.0011145173,0.0012537893,0.0008399616,0.00052471535,0.002678325],"category_scores_gemma":[0.0027430097,0.00015685741,0.0006998242,0.0042064763,0.000504662,0.0003016778,0.00055837666,0.000845819,0.00021645467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016075847,0.000111240246,0.971289,0.000040560604,0.0002129866,0.00035344122,0.0011786071,0.0051214867,0.0004190571,0.0022498178,0.0022729659,0.016590135],"study_design_scores_gemma":[0.0000067485,0.000023672268,0.98563194,0.000019541927,0.000054123146,0.000044709184,0.00090667006,0.011258259,0.00007473447,0.00014888062,0.0018144619,0.000016136159],"about_ca_topic_score_codex":0.9722063,"about_ca_topic_score_gemma":0.95804757,"teacher_disagreement_score":0.027793705,"about_ca_system_score_codex":0.00831651,"about_ca_system_score_gemma":0.00853563,"threshold_uncertainty_score":0.06034082},"labels":[],"label_agreement":null},{"id":"W1994514555","doi":"10.1007/s10842-013-0155-z","title":"Firm Turnover and Productivity Growth in Canadian Manufacturing and Services Industries, 2000 to 2007","year":2013,"lang":"en","type":"article","venue":"Journal of Industry Competition and Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Barriers to entry; Turnover; Industrial organization; Labour economics; Business; Position (finance); Manufacturing; Economics; Market structure; Marketing; Economic growth","score_opus":0.014952021288028354,"score_gpt":0.19391725864671217,"score_spread":0.1789652373586838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994514555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92457145,0.0058092456,0.00032425634,0.0023577455,0.00010157973,0.000033867713,0.060898576,0.00009906279,0.0058041285],"genre_scores_gemma":[0.9735074,0.001990304,0.0002029718,0.00019788781,0.000047999547,0.0000148975005,0.017784368,0.000011734874,0.006242401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988558,0.000036427875,0.00007290757,0.00011233188,0.00048070608,0.00044185793],"domain_scores_gemma":[0.9921061,0.00043977727,0.0016678601,0.00014514262,0.004500711,0.0011404622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011010891,0.00041997945,0.000414748,0.0042414847,0.001424281,0.0018866844,0.0017824831,0.0011128596,0.0027220207],"category_scores_gemma":[0.006036076,0.0003062638,0.0008288722,0.00816995,0.0006375843,0.00081388414,0.0007831312,0.0012460757,0.00067241985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002099685,0.000052748357,0.9686138,0.000090340174,0.00014178133,0.00012027456,0.00060205825,0.0013181068,0.0001257694,0.00064323435,0.016202115,0.011879824],"study_design_scores_gemma":[0.0000057656716,0.0000101662135,0.99359787,0.00003385027,0.00003390031,0.00003735879,0.00052740565,0.0009604057,0.00008924152,0.00003294742,0.004658702,0.000012316956],"about_ca_topic_score_codex":0.9954391,"about_ca_topic_score_gemma":0.9973871,"teacher_disagreement_score":0.040225387,"about_ca_system_score_codex":0.040225387,"about_ca_system_score_gemma":0.042010844,"threshold_uncertainty_score":0.29185694},"labels":[],"label_agreement":null},{"id":"W1994656982","doi":"10.1016/j.econlet.2007.11.008","title":"Entry penetration in Canadian manufacturing","year":2007,"lang":"en","type":"article","venue":"Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Penetration (warfare); Penetration rate; Business; Barriers to entry; Industrial organization; Econometrics; Economics; Engineering; Petroleum engineering; Market structure","score_opus":0.01445551891648844,"score_gpt":0.18628426908271445,"score_spread":0.171828750166226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994656982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588824,0.003065593,0.00016207463,0.0038831716,0.000048575992,0.00003052622,0.0052300645,0.00006577097,0.028631885],"genre_scores_gemma":[0.98789006,0.00086287403,0.00005322947,0.0001978077,0.000018401404,0.000005424189,0.0012625661,0.000011862996,0.009697719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976891,0.00010179538,0.00007287591,0.00019838367,0.00071297906,0.0012247507],"domain_scores_gemma":[0.992006,0.001096087,0.0014281388,0.00019989822,0.0035920036,0.0016777578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012281494,0.0003795553,0.00069951615,0.0041986196,0.0034062816,0.0041809157,0.0015487012,0.0016100707,0.011931189],"category_scores_gemma":[0.006881085,0.000390465,0.0011217576,0.0072747893,0.0010635984,0.0014997519,0.0013773311,0.0021693995,0.0009181372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007801597,0.00022739905,0.8824484,0.00019518835,0.0002060611,0.0015897397,0.006202836,0.006155936,0.0009639123,0.022405574,0.033871308,0.044953473],"study_design_scores_gemma":[0.000015442232,0.0000337895,0.9826721,0.00007274301,0.000043591244,0.00017282387,0.0034365053,0.002622152,0.00022072322,0.0003895387,0.01026523,0.000055342072],"about_ca_topic_score_codex":0.99578494,"about_ca_topic_score_gemma":0.9979588,"teacher_disagreement_score":0.060458932,"about_ca_system_score_codex":0.060458932,"about_ca_system_score_gemma":0.044172306,"threshold_uncertainty_score":0.4386623},"labels":[],"label_agreement":null},{"id":"W1997505998","doi":"10.1177/0266242612437560","title":"Is entrepreneurship a leading or lagging indicator of the business cycle? Evidence from UK self-employment data","year":2012,"lang":"en","type":"article","venue":"International Small Business Journal Researching Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Lagging; Business cycle; Self-employment; Unemployment; Economics; Causality (physics); Unemployment rate; Covariance; Econometrics; Labour economics; Macroeconomics","score_opus":0.21831255250900575,"score_gpt":0.34144862330575015,"score_spread":0.1231360707967444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997505998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99408925,0.0007581359,0.00054144644,0.0003048903,0.000018055636,0.000007725021,0.0020288555,0.00000854222,0.0022431656],"genre_scores_gemma":[0.99676216,0.00053223467,0.00015199602,0.00004274707,0.000013302902,0.000005105073,0.002084561,0.0000042830657,0.00040346963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878794,0.0003606593,0.00025220492,0.0002022739,0.00024188362,0.00015506778],"domain_scores_gemma":[0.9610627,0.018955821,0.0146153895,0.0016387772,0.0026596528,0.001067612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018326901,0.00013829311,0.00043868826,0.0019210177,0.0002253147,0.0011911159,0.00024879497,0.00036301636,0.0020462438],"category_scores_gemma":[0.0176512,0.00015315236,0.0002635618,0.003528334,0.00049320474,0.0008513039,0.0010774898,0.00043096323,0.00053891994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010905218,0.00001540481,0.9891406,0.00008786446,0.000048167472,0.00008963845,0.00030683738,0.00033941297,0.00014530066,0.0004544547,0.0005207932,0.008742339],"study_design_scores_gemma":[0.000007899159,0.000028538405,0.995756,0.000057598714,0.000026720065,0.000058364432,0.00055394333,0.0009489845,0.00018193015,0.00036278655,0.0020095864,0.00000766165],"about_ca_topic_score_codex":0.01292223,"about_ca_topic_score_gemma":0.019160748,"teacher_disagreement_score":0.01292223,"about_ca_system_score_codex":0.00037757368,"about_ca_system_score_gemma":0.00046580855,"threshold_uncertainty_score":0.025694013},"labels":[],"label_agreement":null},{"id":"W1997758550","doi":"10.5430/ijba.v2n4p25","title":"The Role of Industrial Incentives in Development of Small and Medium Industries","year":2011,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Descriptive statistics; Scale (ratio); Small and medium-sized enterprises; Production (economics); Business; Stratified sampling; Industrial production; Economics; Marketing; Statistics; Microeconomics; Mathematics","score_opus":0.07940643967739121,"score_gpt":0.23594093167562247,"score_spread":0.15653449199823127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997758550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92656785,0.007932514,0.0018289929,0.004372023,0.000091747745,0.00011427352,0.00013852677,0.000024204362,0.05892983],"genre_scores_gemma":[0.99666685,0.0016244787,0.000584499,0.00006185039,0.000019383646,0.000011196141,0.0000161305,0.0000015314865,0.0010141544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983676,0.00063021056,0.00010987133,0.00010207534,0.00042887664,0.00036133084],"domain_scores_gemma":[0.99177366,0.0029219969,0.0028172482,0.00015129258,0.0010024718,0.001333303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025071418,0.00012170181,0.0001377987,0.0018135658,0.0008240639,0.0021574467,0.000304236,0.00028015274,0.0017824238],"category_scores_gemma":[0.0066258237,0.000099621284,0.00014819187,0.001608262,0.0010424124,0.00087881286,0.0010797842,0.00040454976,0.00012498829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017084288,0.00040963732,0.7227669,0.0013493599,0.00009366623,0.0019495793,0.006926832,0.0019520975,0.0020324374,0.05353792,0.0032853705,0.2055254],"study_design_scores_gemma":[0.00001283112,0.000114086055,0.94867045,0.00063148944,0.000039713166,0.00031078805,0.008016583,0.00067800056,0.000681275,0.004340542,0.036478974,0.000025207404],"about_ca_topic_score_codex":0.005979763,"about_ca_topic_score_gemma":0.0138107035,"teacher_disagreement_score":0.005979763,"about_ca_system_score_codex":0.0024577933,"about_ca_system_score_gemma":0.0052327714,"threshold_uncertainty_score":0.017832637},"labels":[],"label_agreement":null},{"id":"W1998234256","doi":"10.1007/s11123-005-2213-y","title":"Product Market Competition, Skill Shortages and Productivity: Evidence from Canadian Manufacturing Firms","year":2005,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"Industry Canada","keywords":"Economic shortage; Productivity; Competition (biology); Industrial organization; Business; Product market; Product (mathematics); Economics; Microeconomics; Economic growth","score_opus":0.022483206205496025,"score_gpt":0.2225919750590628,"score_spread":0.2001087688535668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998234256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98960614,0.0024436242,0.00007890428,0.0008226812,0.000007132831,0.000024757212,0.0025766934,0.0000061059936,0.004434085],"genre_scores_gemma":[0.9949132,0.0018674555,0.00008124263,0.00013529524,0.000013854061,0.0000070259266,0.0017551372,0.0000027846268,0.0012239531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998708,0.00009770271,0.000069442074,0.00013374821,0.000544878,0.00044625552],"domain_scores_gemma":[0.9813074,0.0055581927,0.0044208756,0.00043792222,0.0061838534,0.0020918774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020264825,0.00044196902,0.0005651434,0.004093231,0.0038414889,0.0026296398,0.0016126513,0.0010075825,0.0049127387],"category_scores_gemma":[0.01150432,0.0003619201,0.00053959095,0.0149601,0.0018995688,0.0010012306,0.0012011662,0.0009785551,0.0003533168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035829766,0.00019627532,0.97306335,0.00020005433,0.00014155582,0.000317931,0.0035235728,0.00097597716,0.00037640517,0.0011202821,0.00390779,0.015818613],"study_design_scores_gemma":[0.000021467933,0.000029800101,0.99481297,0.000035641024,0.00007109539,0.000033938337,0.0026749948,0.00031187094,0.00008693336,0.00013268567,0.0017688714,0.000019710267],"about_ca_topic_score_codex":0.99490166,"about_ca_topic_score_gemma":0.9969416,"teacher_disagreement_score":0.028594961,"about_ca_system_score_codex":0.028594961,"about_ca_system_score_gemma":0.03226401,"threshold_uncertainty_score":0.20747197},"labels":[],"label_agreement":null},{"id":"W1998288836","doi":"10.1787/jbcma-v2004-art7-en","title":"Coincident and Leading Indicators of Manufacturing Industry","year":2004,"lang":"en","type":"article","venue":"Journal of Business Cycle Measurement and Analysis","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Quarter (Canadian coin); Econometrics; Statistics; Business cycle; Order (exchange); Production (economics); Economics; Mathematics; Business; Operations research; Geography; Macroeconomics","score_opus":0.034348647738908535,"score_gpt":0.2194192943272391,"score_spread":0.18507064658833058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998288836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8049053,0.0032623103,0.0083879195,0.00074462756,0.00040883236,0.00010332654,0.07061273,0.000707885,0.11086709],"genre_scores_gemma":[0.95712596,0.0009706869,0.0035399138,0.000046572353,0.00024041955,0.00006598504,0.030100862,0.00006669509,0.007842969],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998468,0.0003021793,0.00017108173,0.00028979874,0.00055859255,0.00021042168],"domain_scores_gemma":[0.9873942,0.0017945044,0.006086347,0.0009058923,0.0024701476,0.00134888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014994136,0.0003734145,0.00037143947,0.011342545,0.00056865177,0.0025895934,0.0004702057,0.0003701065,0.0067227636],"category_scores_gemma":[0.009117091,0.0001437174,0.00036496166,0.01571935,0.0005098522,0.0010995818,0.0012671321,0.00060957245,0.002136512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002982162,0.00008658505,0.92181027,0.00032913257,0.0001394722,0.000101376194,0.00038222232,0.0035276238,0.0007449936,0.01916504,0.011765207,0.041649878],"study_design_scores_gemma":[0.00001805979,0.00011562328,0.94404644,0.000077646975,0.000049055237,0.00017551967,0.0006822773,0.002792378,0.000646581,0.0048276363,0.046540488,0.000028288967],"about_ca_topic_score_codex":0.0072172014,"about_ca_topic_score_gemma":0.011698328,"teacher_disagreement_score":0.011342545,"about_ca_system_score_codex":0.0010145637,"about_ca_system_score_gemma":0.0012958328,"threshold_uncertainty_score":0.022489905},"labels":[],"label_agreement":null},{"id":"W1999532201","doi":"10.1163/156915003322763548","title":"The Effects of Information Technology Achievement and Diffusion on Foreign Direct Investment","year":2003,"lang":"en","type":"article","venue":"Perspectives on Global Development and Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Foreign direct investment; Openness to experience; Lagging; Information and Communications Technology; Index (typography); Business; Economics; Investment (military); Industrial organization; International economics; Macroeconomics; Politics; Political science","score_opus":0.005636546095750055,"score_gpt":0.18913091112798255,"score_spread":0.1834943650322325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999532201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508215,0.00068270665,0.0008850283,0.00067569205,0.000017036822,0.000018348366,0.00026260334,0.0000161839,0.012360163],"genre_scores_gemma":[0.9987331,0.00020761615,0.00008916141,0.000014068543,0.000013250375,0.0000053569956,0.00009017234,0.0000026630717,0.0008447074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985825,0.0006367034,0.000083901294,0.00013220035,0.00020401482,0.0003606585],"domain_scores_gemma":[0.94792306,0.036923688,0.009069329,0.0008528113,0.0020135168,0.0032175018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023516126,0.00029365602,0.0003823586,0.0015247152,0.00037310904,0.0026129459,0.00024375287,0.00051898643,0.0068411306],"category_scores_gemma":[0.018027568,0.00012028549,0.00054134894,0.0021504397,0.0010686696,0.0013724929,0.0013800767,0.0013471363,0.00053992204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007321223,0.0002522803,0.9478376,0.00009166014,0.0002903576,0.00039110173,0.0004926596,0.0138547635,0.00065637537,0.016359797,0.00074935606,0.018291995],"study_design_scores_gemma":[0.0000845864,0.0004549253,0.96309584,0.00010771387,0.00025112726,0.00037410323,0.0013641233,0.018168634,0.0017176579,0.010911588,0.0034263376,0.00004328061],"about_ca_topic_score_codex":0.006239946,"about_ca_topic_score_gemma":0.0026082068,"teacher_disagreement_score":0.0068411306,"about_ca_system_score_codex":0.0010212662,"about_ca_system_score_gemma":0.00067045115,"threshold_uncertainty_score":0.022885859},"labels":[],"label_agreement":null},{"id":"W2000022231","doi":"10.1002/jsc.825","title":"Customer access and competitive certainty: performance effects in Swedish foreign subsidiaries","year":2008,"lang":"en","type":"article","venue":"Strategic Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Certainty; Subsidiary; Competitor analysis; Context (archaeology); Scope (computer science); Business; Competitive advantage; Marketing; Industrial organization; Product (mathematics); Multinational corporation; Computer science; Finance","score_opus":0.13132476030089946,"score_gpt":0.2533051513531484,"score_spread":0.12198039105224895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000022231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984769,0.00009386192,0.00004878882,0.0000540714,0.0000016566624,0.0000021602295,0.000041888306,0.0000026991104,0.001277893],"genre_scores_gemma":[0.9997743,0.000023019706,0.000015580665,0.0000046136765,0.0000028559625,0.0000010398692,0.00005935114,0.0000011069983,0.000118050266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970319,0.000801089,0.00024046884,0.00036812946,0.0009933582,0.0005649674],"domain_scores_gemma":[0.9589715,0.024996767,0.009901354,0.0011723522,0.0020436544,0.002914372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002839627,0.0002714676,0.00064743095,0.0014840595,0.0005166649,0.0036561047,0.00037522317,0.0006834727,0.0044114306],"category_scores_gemma":[0.021888597,0.00012763997,0.0004195709,0.0016711432,0.0011104881,0.0015045023,0.0019589504,0.00094310247,0.00052653626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004329597,0.00028148436,0.98642355,0.000039736617,0.00010218751,0.00026386706,0.0014606984,0.0019280906,0.00033785598,0.00077778014,0.00028220253,0.0076696053],"study_design_scores_gemma":[0.000012798614,0.0002804528,0.9941016,0.000021805045,0.000049069356,0.00011098212,0.0027873404,0.0013755681,0.00032743817,0.0004074589,0.00050623,0.000019245968],"about_ca_topic_score_codex":0.011676423,"about_ca_topic_score_gemma":0.0072547505,"teacher_disagreement_score":0.011676423,"about_ca_system_score_codex":0.0010692221,"about_ca_system_score_gemma":0.00072964304,"threshold_uncertainty_score":0.023216903},"labels":[],"label_agreement":null},{"id":"W2001747092","doi":"10.1016/s0166-4972(00)00016-x","title":"Product innovation and competitive advantage in an area of industrial decline: the Niagara region of Canada","year":2001,"lang":"en","type":"article","venue":"Technovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Business; Product innovation; New product development; Service (business); Industrial organization; Competitive advantage; Marketing","score_opus":0.05347635161902466,"score_gpt":0.23397337755071834,"score_spread":0.18049702593169367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001747092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445325,0.0007548122,0.000077927434,0.000503693,0.000005845037,0.000017037928,0.00068218267,0.000006602313,0.0034987375],"genre_scores_gemma":[0.9958787,0.0005537391,0.00014069433,0.00005126001,0.0000051514226,0.0000072559324,0.00049999065,0.000004662461,0.0028585617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993838,0.000058405487,0.00003115797,0.00008540008,0.00015641467,0.0002847739],"domain_scores_gemma":[0.99708194,0.00032504593,0.00048787863,0.0000695181,0.0014170815,0.0006184539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000701957,0.00027524185,0.0006103145,0.0027884992,0.003658572,0.0033563918,0.0015973222,0.0006035687,0.0017821133],"category_scores_gemma":[0.0025868411,0.00020517349,0.00047723704,0.007534914,0.0018521158,0.0008885687,0.0014459086,0.00081328524,0.00014492137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021243097,0.000090136826,0.9757909,0.000061175335,0.00008631105,0.0006350799,0.0039485903,0.0029608358,0.00041960453,0.0030693242,0.0020314108,0.010694341],"study_design_scores_gemma":[0.0000230138,0.000027593182,0.98169804,0.000050857638,0.00006407817,0.00011422929,0.010300667,0.0029665765,0.00020929569,0.00028029326,0.004239069,0.000026232427],"about_ca_topic_score_codex":0.9978765,"about_ca_topic_score_gemma":0.9991474,"teacher_disagreement_score":0.044782996,"about_ca_system_score_codex":0.044782996,"about_ca_system_score_gemma":0.044058878,"threshold_uncertainty_score":0.3249249},"labels":[],"label_agreement":null},{"id":"W2003494852","doi":"10.7202/1008696ar","title":"Les facteurs de succès des entreprises à croissance rapide en Allemagne","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03395095178086071,"score_gpt":0.26261818435804246,"score_spread":0.22866723257718174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003494852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871191,0.0012504131,0.001473431,0.0004414993,0.00003136948,0.00004279374,0.0015804556,0.000031342443,0.008029569],"genre_scores_gemma":[0.98856467,0.0012866529,0.0010459436,0.00007366425,0.000040348354,0.00008261632,0.0014491674,0.000013593818,0.0074433093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884975,0.00029185024,0.00010649686,0.00023233073,0.0003176248,0.0002020408],"domain_scores_gemma":[0.984142,0.006357392,0.0060848095,0.0006674082,0.002022238,0.00072611275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019932417,0.00039208983,0.0004358601,0.0015901068,0.0005411642,0.0015505538,0.00053603493,0.00070650555,0.0084726475],"category_scores_gemma":[0.010444657,0.00028963573,0.00060923386,0.0020827865,0.00048070232,0.0012874973,0.0009047307,0.0008373676,0.0015197471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021608449,0.000117915806,0.96671796,0.00022769177,0.00024322941,0.00021664368,0.0027626732,0.00059252256,0.00065007264,0.00081157393,0.0012072799,0.026236346],"study_design_scores_gemma":[0.000005963439,0.00009162917,0.989608,0.00006663838,0.000062904015,0.000121978796,0.002109529,0.00032101662,0.0003077721,0.0004220358,0.006865169,0.00001730773],"about_ca_topic_score_codex":0.015313091,"about_ca_topic_score_gemma":0.021108292,"teacher_disagreement_score":0.015313091,"about_ca_system_score_codex":0.0009924888,"about_ca_system_score_gemma":0.0008360684,"threshold_uncertainty_score":0.0304479},"labels":[],"label_agreement":null},{"id":"W2003933139","doi":"10.1086/426407","title":"Firm Size Matters: Growth and Productivity Growth in African Manufacturing","year":2005,"lang":"en","type":"article","venue":"Economic Development and Cultural Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":316,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Belgian American Educational Foundation","keywords":"Productivity; Sample (material); Distribution (mathematics); Business; Large sample; Labour economics; Economics; Monetary economics; Demographic economics; Economic growth","score_opus":0.0418167696022962,"score_gpt":0.21118167973680146,"score_spread":0.16936491013450528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003933139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913488,0.0013729788,0.00021643382,0.0029753963,0.000053009302,0.000007278148,0.0008044683,0.000028098872,0.00319357],"genre_scores_gemma":[0.9974438,0.00047179186,0.000031068317,0.00008843453,0.000056409335,0.000004403518,0.00029476828,0.0000058078117,0.0016036478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999411,0.00015569042,0.000038600527,0.000089104586,0.00007453535,0.00023108645],"domain_scores_gemma":[0.98333883,0.0090469355,0.005034578,0.0003122041,0.00048359245,0.0017838757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012022498,0.00031654403,0.00038816364,0.0011099022,0.00036965427,0.0013264365,0.0005321185,0.0012973141,0.011091291],"category_scores_gemma":[0.010277688,0.00025965637,0.0006650273,0.002080928,0.0009201146,0.0014758995,0.0011065834,0.0019277895,0.0012225074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032598525,0.00012244468,0.9803492,0.00006986468,0.00015392182,0.00076493924,0.0005395521,0.0024551514,0.0006100352,0.0024478196,0.002686451,0.009474727],"study_design_scores_gemma":[0.000018784362,0.000083928746,0.99263304,0.0000610901,0.00008700334,0.00020689843,0.0009200784,0.0031167243,0.00038532165,0.0011442095,0.001332505,0.000010435976],"about_ca_topic_score_codex":0.017865874,"about_ca_topic_score_gemma":0.015228506,"teacher_disagreement_score":0.017865874,"about_ca_system_score_codex":0.00062008447,"about_ca_system_score_gemma":0.0011398314,"threshold_uncertainty_score":0.03710407},"labels":[],"label_agreement":null},{"id":"W2005592749","doi":"10.7202/056091ar","title":"La stratégie technologique de Bombardier","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.08901138246297398,"score_gpt":0.3070984055729421,"score_spread":0.21808702310996814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005592749","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22376902,0.011275913,0.5649684,0.009412426,0.00044482294,0.0012879041,0.00026938354,0.0009160345,0.18765607],"genre_scores_gemma":[0.68195516,0.015023562,0.19334343,0.0009684884,0.000118463024,0.0005094533,0.00023210993,0.00013739815,0.10771189],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99884355,0.00028500948,0.000040538835,0.00021797736,0.0004537695,0.00015916629],"domain_scores_gemma":[0.99868816,0.000589166,0.00024167617,0.00015169816,0.00026343483,0.00006588685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014208102,0.0011518246,0.0006056192,0.001901816,0.0012565426,0.003581352,0.0011281956,0.0021387984,0.011484545],"category_scores_gemma":[0.0027229735,0.00076659844,0.0009181345,0.0012566628,0.0015501693,0.0030507473,0.0014250509,0.0016107032,0.004229998],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038701153,0.000591432,0.014068316,0.0024313063,0.00025958577,0.0010264389,0.0024586264,0.05230862,0.2015632,0.16981393,0.007031304,0.5480602],"study_design_scores_gemma":[0.00023037767,0.0034483026,0.026567958,0.0009801121,0.0005819313,0.0063915704,0.006002822,0.12534676,0.35771462,0.16108748,0.31114846,0.00049959694],"about_ca_topic_score_codex":0.0031905943,"about_ca_topic_score_gemma":0.0040012244,"teacher_disagreement_score":0.9968094,"about_ca_system_score_codex":0.0018221551,"about_ca_system_score_gemma":0.0019280162,"threshold_uncertainty_score":0.038419604},"labels":[],"label_agreement":null},{"id":"W2006316903","doi":"10.2139/ssrn.1600308","title":"Death of Canadian Manufacturing Plants: Heterogeneous Responses to Changes in Tariffs and Real Exchange Rates","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Exchange rate; Economics; Business; International economics; Monetary economics; International trade; Industrial organization; Natural resource economics","score_opus":0.02159879542948738,"score_gpt":0.22545864701531756,"score_spread":0.2038598515858302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006316903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939936,0.00032093993,0.00015945711,0.0011990055,0.000019917592,0.000023797442,0.0014753696,0.000017679768,0.0027903074],"genre_scores_gemma":[0.99601316,0.0001571111,0.000038665035,0.00010816878,0.00000653889,0.0000036827764,0.00080634595,0.0000048987054,0.0028614039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937844,0.000057798552,0.000014354961,0.000079715,0.00012830838,0.0003414324],"domain_scores_gemma":[0.9941082,0.0014178256,0.0010238081,0.0002486983,0.0019749159,0.001226559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012114329,0.00035041018,0.00060208206,0.0009028638,0.0023174589,0.0017557975,0.0012168097,0.0016862017,0.0059269713],"category_scores_gemma":[0.00707538,0.00020337343,0.00052593165,0.0012106391,0.0009686766,0.00049595843,0.0007827074,0.0012189315,0.0005077515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068559307,0.00042381848,0.8683177,0.00012900883,0.00042511467,0.0015461162,0.003178904,0.041033622,0.008275795,0.0064213634,0.022431258,0.040961344],"study_design_scores_gemma":[0.00006357224,0.00013075912,0.97590417,0.000016108523,0.00008485175,0.00015127497,0.0036691807,0.014318099,0.00095781713,0.0012328738,0.0033763333,0.0000949845],"about_ca_topic_score_codex":0.9489555,"about_ca_topic_score_gemma":0.9656033,"teacher_disagreement_score":0.051044524,"about_ca_system_score_codex":0.01705908,"about_ca_system_score_gemma":0.008507715,"threshold_uncertainty_score":0.12377286},"labels":[],"label_agreement":null},{"id":"W2006369810","doi":"10.1007/s11187-008-9104-3","title":"The role of clustering in the growth of new technology-based firms","year":2008,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cluster analysis; Cluster (spacecraft); Industrial organization; Business; Entrepreneurship; Economic geography; Metropolitan area; Supply chain; Marketing; Economics; Computer science; Geography","score_opus":0.03125615936089061,"score_gpt":0.18640213298977587,"score_spread":0.15514597362888527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006369810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750333,0.003292969,0.0063108616,0.0028518594,0.000029584195,0.000024735404,0.00017977234,0.00007126232,0.012205635],"genre_scores_gemma":[0.9988211,0.00035924066,0.00021083844,0.000029530496,0.000030927837,0.0000020689338,0.000027736412,0.0000041345247,0.00051442336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990037,0.00041771785,0.00004903815,0.0001511816,0.0001473382,0.00023104361],"domain_scores_gemma":[0.9756742,0.01492187,0.0050483863,0.0013063534,0.0015086645,0.0015405124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020680164,0.00021329307,0.0006009704,0.0018448172,0.0011264655,0.00311159,0.00074548397,0.0015534919,0.0023740095],"category_scores_gemma":[0.016484827,0.00023422424,0.0004913833,0.0022653565,0.0022785433,0.003068623,0.0013565865,0.0008467303,0.00030730708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008312857,0.0002563867,0.49322024,0.00038160908,0.00045340802,0.0012623732,0.0026954024,0.11078405,0.0035280266,0.3008709,0.0070810495,0.07863539],"study_design_scores_gemma":[0.00011419101,0.00022894541,0.5294129,0.00016787888,0.00029683678,0.00071698544,0.0061694444,0.15522929,0.0025319674,0.29691693,0.008084246,0.00013031834],"about_ca_topic_score_codex":0.0153845,"about_ca_topic_score_gemma":0.017361894,"teacher_disagreement_score":0.0153845,"about_ca_system_score_codex":0.0023464116,"about_ca_system_score_gemma":0.0010006955,"threshold_uncertainty_score":0.030589879},"labels":[],"label_agreement":null},{"id":"W2010268170","doi":"10.1016/s0147-5967(03)00055-6","title":"A study of the R&amp;D efficiency and productivity of Chinese firms","year":2003,"lang":"en","type":"article","venue":"Journal of Comparative Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":264,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Business; State ownership; Stock (firearms); State owned; R&D intensity; Variance (accounting); Sample (material); Secondary sector of the economy; Productive efficiency; Economics; Market economy; Economy; Microeconomics; Finance; Production (economics); Economic growth; Emerging markets; Accounting","score_opus":0.06677939361964665,"score_gpt":0.2781768229568923,"score_spread":0.21139742933724565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010268170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784887,0.0004656311,0.000110792214,0.00007121455,0.0000017449022,0.0000053307917,0.00010304904,0.0000028818247,0.0013904737],"genre_scores_gemma":[0.9992568,0.00019693641,0.000056225716,0.000013797929,0.000006078206,0.0000024575506,0.00013205617,0.0000010720447,0.0003344935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994942,0.000089644316,0.00005058817,0.000107142754,0.0001067896,0.00015157321],"domain_scores_gemma":[0.9954465,0.0027052083,0.00076392444,0.00021607977,0.00048164008,0.00038657835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013049956,0.00036386523,0.00044073502,0.0044640913,0.0009542188,0.0013718101,0.00065085036,0.0004936325,0.0022824449],"category_scores_gemma":[0.003571383,0.00029597292,0.0007804567,0.006107077,0.0010517882,0.0012244694,0.00058517896,0.00036311726,0.00017622717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018841993,0.00015357471,0.9695237,0.00010321065,0.00024963703,0.0007603831,0.002208895,0.0030236607,0.0021809912,0.004939638,0.0003653642,0.016302576],"study_design_scores_gemma":[0.000010719327,0.00006886409,0.9952024,0.000009628951,0.0000952541,0.00009514135,0.00057460787,0.002429539,0.0004149528,0.00046024352,0.0006257154,0.00001294709],"about_ca_topic_score_codex":0.08585159,"about_ca_topic_score_gemma":0.055590995,"teacher_disagreement_score":0.08585159,"about_ca_system_score_codex":0.003955522,"about_ca_system_score_gemma":0.0031562648,"threshold_uncertainty_score":0.17070371},"labels":[],"label_agreement":null},{"id":"W2011636312","doi":"10.7202/029779ar","title":"Formation Continue et Performance des Entreprises en Côte d’Ivoire","year":2009,"lang":"fr","type":"article","venue":"Management international","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Economics; Philosophy","score_opus":0.020318044523607103,"score_gpt":0.22772501827093075,"score_spread":0.20740697374732364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011636312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415237,0.0006442029,0.0008950293,0.0000990232,0.000007996999,0.000012767522,0.00021752685,0.0000070084716,0.0039640684],"genre_scores_gemma":[0.98858505,0.00058621226,0.0011729692,0.000028195496,0.000009014564,0.000016009026,0.00045362933,0.0000086431355,0.009140317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990107,0.00022004919,0.000038339527,0.00020665715,0.0003121689,0.00021215068],"domain_scores_gemma":[0.994269,0.0016615551,0.0018227341,0.0003628227,0.0012551948,0.00062869757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508096,0.00035782275,0.000541335,0.0009725647,0.0005335275,0.0018768535,0.0003948281,0.0005677728,0.004354356],"category_scores_gemma":[0.005156927,0.00025576417,0.00034597825,0.0012460622,0.0004848486,0.0010422921,0.0010023195,0.000580724,0.000632736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059675646,0.00026581332,0.8542556,0.00026482472,0.00026773132,0.0011376764,0.00825992,0.010378364,0.029156215,0.0053182435,0.0009105239,0.0891883],"study_design_scores_gemma":[0.0000118216785,0.0005447615,0.9650817,0.00006928414,0.00007161939,0.00021717585,0.003992912,0.0032656603,0.009252341,0.0009935106,0.016472522,0.000026689366],"about_ca_topic_score_codex":0.029126564,"about_ca_topic_score_gemma":0.0369435,"teacher_disagreement_score":0.029126564,"about_ca_system_score_codex":0.0017740409,"about_ca_system_score_gemma":0.00090642663,"threshold_uncertainty_score":0.05791402},"labels":[],"label_agreement":null},{"id":"W2012883251","doi":"10.5539/ijef.v7n5p61","title":"Success Factors of New Product Launch: The Case of iPhone Launch","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund","keywords":"Product (mathematics); Order (exchange); Marketing; Launched; Business; New product development; Mobile phone; Target market; Globalization; Advertising; Engineering; Telecommunications; Economics","score_opus":0.0661192146175234,"score_gpt":0.2556864561110491,"score_spread":0.18956724149352572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012883251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96613777,0.00035575667,0.0009380407,0.0016837321,0.000019123003,0.00007669852,0.00008940255,0.000015778833,0.030683754],"genre_scores_gemma":[0.9959169,0.00031447527,0.0005807882,0.00006202096,0.00001591875,0.00003136093,0.000055561308,0.0000073177684,0.0030156637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827087,0.0006164251,0.00008718073,0.00014119272,0.000465826,0.0004185457],"domain_scores_gemma":[0.9869889,0.008192204,0.0019210278,0.00031648704,0.0013812154,0.0012002629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023066534,0.00044298088,0.00029267528,0.0027966336,0.0032441248,0.0042831716,0.00044680896,0.0015849009,0.008439895],"category_scores_gemma":[0.0066693956,0.00024207651,0.0005583881,0.0021070233,0.002533566,0.0033742674,0.0018791963,0.0015523393,0.0007504817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035939692,0.0014932889,0.7252978,0.00072016584,0.00013870663,0.03287471,0.09050508,0.0032535065,0.0033013052,0.0643673,0.0072694267,0.070419386],"study_design_scores_gemma":[0.00004708096,0.00076972943,0.62749636,0.00042528365,0.0001831372,0.0055624745,0.29047215,0.010753377,0.0034023388,0.010845286,0.049889922,0.00015290774],"about_ca_topic_score_codex":0.013643823,"about_ca_topic_score_gemma":0.016793,"teacher_disagreement_score":0.013643823,"about_ca_system_score_codex":0.0032597866,"about_ca_system_score_gemma":0.0026226481,"threshold_uncertainty_score":0.028234303},"labels":[],"label_agreement":null},{"id":"W2014276588","doi":"10.7202/044253ar","title":"Le mécanisme de sélection des firmes est-il efficace? Une approche en termes de coût d’opportunité","year":2010,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.039527122202580776,"score_gpt":0.23887894697890738,"score_spread":0.1993518247763266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014276588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31155723,0.013715335,0.50668424,0.015550885,0.00030133672,0.00018780815,0.0006841616,0.00021239206,0.15110654],"genre_scores_gemma":[0.9639488,0.0037152527,0.01861122,0.000364405,0.00024767005,0.00010598976,0.00011210402,0.000036125948,0.012858478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975261,0.0007185866,0.00015566719,0.00080120936,0.0004411847,0.0003573143],"domain_scores_gemma":[0.99084187,0.0059057428,0.0016854503,0.0007511371,0.0005016416,0.00031413836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035404526,0.0008450993,0.0015052173,0.0019243886,0.0010805092,0.005469915,0.0018422323,0.0028816578,0.014566731],"category_scores_gemma":[0.010997985,0.00061289535,0.0013954572,0.0018417037,0.0034505725,0.0063862232,0.0016598452,0.0020362139,0.0013076189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021789465,0.00009723083,0.026644476,0.00055622356,0.00028238544,0.00042420108,0.00086431234,0.040526606,0.0046521956,0.85639316,0.00132278,0.06801868],"study_design_scores_gemma":[0.00005343455,0.00026614993,0.024652252,0.00026763332,0.00022651443,0.0008177116,0.0010713396,0.073289745,0.0027571197,0.8729065,0.023556517,0.00013504116],"about_ca_topic_score_codex":0.003105022,"about_ca_topic_score_gemma":0.003677651,"teacher_disagreement_score":0.014566731,"about_ca_system_score_codex":0.0025471542,"about_ca_system_score_gemma":0.0014471455,"threshold_uncertainty_score":0.048730552},"labels":[],"label_agreement":null},{"id":"W2015741304","doi":"10.1108/13552520610638283","title":"Inter‐corporate ownership and diversification in the Canadian economy 1976‐1995","year":2006,"lang":"en","type":"article","venue":"Journal of Management History","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Subsidiary; Diversification (marketing strategy); Business; Shareholder; Shareholder value; Population; Industrial organization; Market economy; Economics; Marketing; Finance; Corporate governance; Multinational corporation","score_opus":0.0561505142756479,"score_gpt":0.1769972098663032,"score_spread":0.1208466955906553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015741304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97682095,0.0017002062,0.00011825868,0.0008162379,0.000012760541,0.00004796701,0.0077478797,0.000011035043,0.012724699],"genre_scores_gemma":[0.99361444,0.0007158885,0.00013233435,0.0000478484,0.000005468272,0.000009259396,0.0027396998,0.0000029514451,0.0027320902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893993,0.00003137116,0.000029421895,0.000114416776,0.00040812066,0.00047677432],"domain_scores_gemma":[0.9968906,0.00013185835,0.00063650776,0.00009880314,0.0016954112,0.00054694264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007698327,0.0003076008,0.00027420413,0.0040604672,0.0029838856,0.0016761641,0.00089877256,0.00029335634,0.0033462225],"category_scores_gemma":[0.0034443457,0.00018286826,0.0004114435,0.0068902546,0.001170729,0.00061924144,0.0011622178,0.0005020385,0.00021970648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019188535,0.00004644467,0.93952006,0.00012801608,0.00008778979,0.0003241424,0.0055983127,0.0017668114,0.0003672431,0.005804704,0.0068426924,0.039321944],"study_design_scores_gemma":[0.0000039492584,0.0000074524814,0.99318886,0.000030620926,0.000009214082,0.000038290324,0.0014450506,0.00037068376,0.00008226406,0.00012439414,0.004690212,0.000009004948],"about_ca_topic_score_codex":0.99719363,"about_ca_topic_score_gemma":0.9977957,"teacher_disagreement_score":0.93389267,"about_ca_system_score_codex":0.06610734,"about_ca_system_score_gemma":0.035081018,"threshold_uncertainty_score":0.4796446},"labels":[],"label_agreement":null},{"id":"W2019043344","doi":"10.7202/044663ar","title":"Taille des entreprises et structure du capital : tests empiriques sur Euronext Paris","year":2010,"lang":"fr","type":"article","venue":"Management international","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.017104359077467227,"score_gpt":0.22984088248758863,"score_spread":0.2127365234101214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019043344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960368,0.00038002708,0.001281163,0.000091104695,0.00000917259,0.000018767787,0.0006281053,0.00002048774,0.0015344901],"genre_scores_gemma":[0.99409336,0.00038784742,0.0010264334,0.00003298725,0.000026724287,0.000048019156,0.0018752073,0.000017068722,0.002492345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787486,0.0013242234,0.00009540456,0.00030250565,0.00021720408,0.00018579548],"domain_scores_gemma":[0.9718149,0.021139387,0.003853061,0.0010977454,0.0011895886,0.0009053736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004562548,0.0009952296,0.0008776067,0.0029441856,0.0008786229,0.0020418193,0.0010628707,0.00084002764,0.0062264474],"category_scores_gemma":[0.008999567,0.0004461865,0.000937433,0.0030531278,0.0013167502,0.0011453405,0.0013652061,0.0009770031,0.00081453816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011360386,0.0006264609,0.89944077,0.00014296819,0.0010907031,0.0016068774,0.0019269743,0.06594916,0.00071063347,0.0039125327,0.0027452745,0.020711672],"study_design_scores_gemma":[0.00019446947,0.0004434464,0.9401142,0.00009407696,0.00030415252,0.00021725382,0.0018843272,0.048233103,0.0015825825,0.0007851809,0.006094162,0.000053016996],"about_ca_topic_score_codex":0.16279022,"about_ca_topic_score_gemma":0.09557197,"teacher_disagreement_score":0.16279022,"about_ca_system_score_codex":0.0018135443,"about_ca_system_score_gemma":0.00093870127,"threshold_uncertainty_score":0.3236854},"labels":[],"label_agreement":null},{"id":"W2019658463","doi":"10.1007/s10961-011-9211-1","title":"Is Canadian intellectual property leaving Canada? A study of nanotechnology patenting","year":2011,"lang":"en","type":"article","venue":"The Journal of Technology Transfer","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal","funders":"","keywords":"Intellectual property; Productivity; Corporation; Business; Nanotechnology; Engineering; Political science; Economic growth; Economics; Finance; Law; Materials science","score_opus":0.05991846410066932,"score_gpt":0.19178038217923007,"score_spread":0.13186191807856076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019658463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647009,0.004137824,0.0002692673,0.02671915,0.00007396502,0.000061250066,0.00086579286,0.000014605693,0.103157215],"genre_scores_gemma":[0.98942614,0.0014720184,0.00008575467,0.0009931143,0.00002072427,0.000007491302,0.00017443707,0.000008260307,0.0078119296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974927,0.00018182423,0.000050763454,0.00016206101,0.0009356488,0.0011769519],"domain_scores_gemma":[0.98533964,0.0048266724,0.00197212,0.0003139045,0.005311983,0.0022358291],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0021655848,0.00018124243,0.00048684486,0.0030017947,0.015738603,0.008031542,0.001746121,0.002175905,0.00799949],"category_scores_gemma":[0.015032403,0.0001787363,0.00042278867,0.009747751,0.004551773,0.003074145,0.0014434273,0.0025204013,0.00025799338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065773504,0.00059137616,0.40867233,0.00047280884,0.00017333837,0.0028180305,0.075069614,0.0027815644,0.0013785621,0.3345295,0.05067915,0.12217606],"study_design_scores_gemma":[0.000074307594,0.00011976334,0.57285154,0.00044059628,0.00019892932,0.00036469492,0.21447766,0.003011067,0.0009867002,0.011649433,0.19567409,0.00015123746],"about_ca_topic_score_codex":0.99493235,"about_ca_topic_score_gemma":0.9966054,"teacher_disagreement_score":0.9969982,"about_ca_system_score_codex":0.118331164,"about_ca_system_score_gemma":0.16039892,"threshold_uncertainty_score":0.8585567},"labels":[],"label_agreement":null},{"id":"W2020745465","doi":"10.1111/j.1467-8276.2005.00732.x","title":"The Crowding Effects of Basic and Applied Research: A Theoretical and Empirical Analysis of an Agricultural Biotech Industry","year":2005,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"","keywords":"Crowding out; Productivity; Incentive; Economics; Agriculture; Variety (cybernetics); Empirical research; Econometric model; Public economics; Consistency (knowledge bases); Industrial organization; Econometrics; Marketing; Microeconomics; Business; Computer science; Mathematics; Macroeconomics; Statistics; Biology","score_opus":0.02404054497575738,"score_gpt":0.26991458015479874,"score_spread":0.24587403517904136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020745465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812975,0.0004674722,0.008366536,0.001051827,0.0000075419807,0.00009938933,0.000073231306,0.00002327063,0.008613374],"genre_scores_gemma":[0.9982299,0.00016410771,0.0010326835,0.000037851183,0.000007663768,0.00002426758,0.000027292424,0.000002192229,0.00047414372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998609,0.0007655037,0.000048099104,0.00011906299,0.00016797973,0.00029035506],"domain_scores_gemma":[0.960051,0.033446953,0.0036156743,0.0005776445,0.0009898127,0.0013188298],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00445723,0.0003645704,0.00071481307,0.004083182,0.0014271357,0.0029645269,0.0010072044,0.0014791166,0.0045526978],"category_scores_gemma":[0.012699119,0.00038550515,0.0007919057,0.0024790908,0.0029842248,0.0022829291,0.0018529235,0.0012495845,0.00025636793],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010830375,0.0025739167,0.17990439,0.0004433431,0.00025191187,0.001859596,0.003128177,0.41311657,0.0035487816,0.34796247,0.0037352694,0.042392503],"study_design_scores_gemma":[0.00035878955,0.0006335791,0.06666382,0.000115457835,0.00020429752,0.0002890704,0.0048731994,0.820483,0.0011702774,0.10189338,0.003213391,0.00010163663],"about_ca_topic_score_codex":0.013163128,"about_ca_topic_score_gemma":0.00896988,"teacher_disagreement_score":0.99554276,"about_ca_system_score_codex":0.004540101,"about_ca_system_score_gemma":0.0020977305,"threshold_uncertainty_score":0.032940865},"labels":[],"label_agreement":null},{"id":"W2021529589","doi":"10.1007/s11123-006-0001-y","title":"The contributions of productivity, price changes and firm size to profitability","year":2006,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Profitability index; Productivity; Profit (economics); Shareholder; Economics; Distribution (mathematics); Industrial organization; Microeconomics; Business; Econometrics; Macroeconomics; Finance; Corporate governance","score_opus":0.014805358352849374,"score_gpt":0.23448420450265933,"score_spread":0.21967884614980995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021529589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909599,0.000881182,0.0020335412,0.0008963228,0.000032179454,0.000009544587,0.00017300734,0.000030652394,0.0049837166],"genre_scores_gemma":[0.9989507,0.00020434287,0.00011765901,0.000029784056,0.00007829742,0.0000019408535,0.000051045932,0.0000058482797,0.00056038075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991691,0.00039966984,0.000049946655,0.00010714142,0.00014350265,0.00013069391],"domain_scores_gemma":[0.8916616,0.095772974,0.005964438,0.0022983106,0.0020819888,0.0022207086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030402348,0.00034249484,0.00039809558,0.0011888077,0.00036356822,0.0022723998,0.0007006133,0.0012770304,0.0042289724],"category_scores_gemma":[0.04562052,0.00042586873,0.0006488232,0.0012198746,0.001406245,0.0018745369,0.0008539041,0.0017136713,0.0007473849],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085779943,0.00035248668,0.92513275,0.00006218905,0.00031032288,0.00075243844,0.0003384296,0.022853075,0.0024581123,0.0063335723,0.0015643312,0.038984377],"study_design_scores_gemma":[0.000056717192,0.00020400077,0.9412553,0.00001794547,0.00031669743,0.00044916567,0.00039808868,0.038949948,0.0010997095,0.016123999,0.0010869602,0.000041456853],"about_ca_topic_score_codex":0.0040760604,"about_ca_topic_score_gemma":0.0037645246,"teacher_disagreement_score":0.0042289724,"about_ca_system_score_codex":0.00073648646,"about_ca_system_score_gemma":0.0006944597,"threshold_uncertainty_score":0.016078532},"labels":[],"label_agreement":null},{"id":"W2022486405","doi":"10.2139/ssrn.861085","title":"Firm Exits as a Determinant of New Entry: Is There Evidence of Local Creative Destruction?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Economic geography; Industrial organization; Economics","score_opus":0.026254831420278204,"score_gpt":0.2677320001435471,"score_spread":0.24147716872326888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022486405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984769,0.00016280072,0.00024272231,0.00018452226,0.0000048641614,0.0000046318733,0.00006048852,0.000008776683,0.00085425825],"genre_scores_gemma":[0.99931645,0.000034479697,0.000036735102,0.000026791551,0.000014513332,0.0000027808755,0.000053902382,0.000003983382,0.0005103198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869114,0.00049051223,0.00010322803,0.00021645354,0.00014605168,0.0003526056],"domain_scores_gemma":[0.93147534,0.04033539,0.015768621,0.0026187338,0.0014176675,0.008384207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027736074,0.0002663694,0.00094189955,0.00097429164,0.0006397686,0.0025008495,0.001093979,0.0013860988,0.01274478],"category_scores_gemma":[0.016219785,0.0002611908,0.00075924536,0.0012465263,0.0017750789,0.0015189347,0.0014802656,0.0019879597,0.0012739495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005943455,0.00020679129,0.99312615,0.000034573255,0.00011878014,0.00041625608,0.0004200248,0.0004002401,0.0005013315,0.00032786804,0.00018465245,0.0036689586],"study_design_scores_gemma":[0.000040891275,0.0002890064,0.9957799,0.000025970321,0.0000937726,0.00025573262,0.0013887219,0.0010268964,0.00024913027,0.00051846216,0.00031853069,0.000013026296],"about_ca_topic_score_codex":0.0038882494,"about_ca_topic_score_gemma":0.006228192,"teacher_disagreement_score":0.01274478,"about_ca_system_score_codex":0.00032521624,"about_ca_system_score_gemma":0.00053527235,"threshold_uncertainty_score":0.04263556},"labels":[],"label_agreement":null},{"id":"W2022567354","doi":"10.1007/s11187-006-9042-x","title":"Does Gibrat’s Law Hold? Evidence from Canadian Retail and Manufacturing Firms","year":2007,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada; Lakehead University","keywords":"Entrepreneurship; Manufacturing; Manufacturing sector; Economics; Retail trade; Industrial organization; Econometrics; Selection (genetic algorithm); Business; Labour economics; Marketing; Commerce; Computer science","score_opus":0.0444857507855471,"score_gpt":0.1960146488501217,"score_spread":0.15152889806457462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022567354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7715639,0.016071081,0.0007368132,0.039058853,0.00014849492,0.000104192055,0.0031778768,0.000067697045,0.16907112],"genre_scores_gemma":[0.988816,0.0033513794,0.00015785372,0.0014440623,0.000068145346,0.0000076177184,0.0007353643,0.000013680819,0.005405823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996917,0.00019163277,0.00012239994,0.00035580623,0.0013868613,0.0010262916],"domain_scores_gemma":[0.94649905,0.022875287,0.007634757,0.0029947418,0.016960755,0.0030354443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035083662,0.00036782408,0.0008375444,0.004346821,0.004703327,0.0049684057,0.002297244,0.002206279,0.012048522],"category_scores_gemma":[0.036863633,0.00029204617,0.0006900971,0.009616575,0.0052698357,0.0024131716,0.0013966657,0.001984519,0.00090929243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013597099,0.0003298096,0.6998097,0.0006985803,0.00032135381,0.0027601758,0.011775201,0.0018042809,0.00067467266,0.10011884,0.07811487,0.102232836],"study_design_scores_gemma":[0.0001684154,0.00010851339,0.88417196,0.0005240701,0.00040433358,0.0002934014,0.01872352,0.0018164178,0.0009849403,0.017520849,0.07515632,0.00012719403],"about_ca_topic_score_codex":0.9703663,"about_ca_topic_score_gemma":0.97538775,"teacher_disagreement_score":0.0296337,"about_ca_system_score_codex":0.025115497,"about_ca_system_score_gemma":0.025752505,"threshold_uncertainty_score":0.18222654},"labels":[],"label_agreement":null},{"id":"W2023735008","doi":"10.1016/j.jbusvent.2013.01.004","title":"Why are some people more likely to become small-businesses owners than others: Entrepreneurship entry and industry-specific barriers","year":2013,"lang":"en","type":"article","venue":"Journal of Business Venturing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Small business; Barriers to entry; Business; Context (archaeology); Marketing; Face (sociological concept); Capital (architecture); Industrial organization; Finance; Market structure","score_opus":0.029311928520527778,"score_gpt":0.20789567265443526,"score_spread":0.17858374413390748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023735008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537647,0.00048598213,0.000080830956,0.0022389144,0.000029478822,0.000008329201,0.00013380374,0.0000024466867,0.0016438001],"genre_scores_gemma":[0.9987676,0.0001442094,0.000031363295,0.00043387976,0.000023211422,0.000004618654,0.000050167946,0.0000026440518,0.0005423339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915564,0.00017724757,0.00006328865,0.00013236217,0.00012181524,0.00034960682],"domain_scores_gemma":[0.9891143,0.003314467,0.0034774144,0.00028777902,0.00079491956,0.0030110287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985726,0.0001136838,0.0004564066,0.0007434024,0.00094003876,0.0019233641,0.00054247957,0.0012717975,0.009385308],"category_scores_gemma":[0.009101221,0.00025563667,0.00044836433,0.0009698545,0.00089788035,0.0023635803,0.00088863604,0.0017868988,0.0009313364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001851598,0.00023475246,0.9856938,0.000049812897,0.0001019884,0.00029204664,0.0029468504,0.0000316611,0.00022819811,0.0005718246,0.0010938596,0.008570072],"study_design_scores_gemma":[0.000032120264,0.00013388065,0.9755299,0.00010715201,0.000104398874,0.000618758,0.01980065,0.00021492511,0.00016630632,0.001769405,0.0015002115,0.000022334494],"about_ca_topic_score_codex":0.009392329,"about_ca_topic_score_gemma":0.013908284,"teacher_disagreement_score":0.009392329,"about_ca_system_score_codex":0.00025026835,"about_ca_system_score_gemma":0.00059638196,"threshold_uncertainty_score":0.031397045},"labels":[],"label_agreement":null},{"id":"W2023737275","doi":"10.1016/j.technovation.2008.02.001","title":"Learning and novelty of innovation in established manufacturing SMEs","year":2008,"lang":"en","type":"article","venue":"Technovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":247,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Canadian Foundation for Healthcare Improvement","funders":"","keywords":"Novelty; Business; Product (mathematics); Process (computing); Product innovation; Industrial organization; Order (exchange); Sample (material); Knowledge management; Marketing; Innovation management; Perspective (graphical); Competitive advantage; Degree (music); Computer science; Mathematics; Artificial intelligence; Psychology","score_opus":0.028181104574150215,"score_gpt":0.21917901047809957,"score_spread":0.19099790590394936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023737275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624664,0.00050077867,0.0010776621,0.0003017475,0.0000074870413,0.00000687793,0.000034570006,0.000009771222,0.001814387],"genre_scores_gemma":[0.9994253,0.000097180535,0.00010867534,0.000013014446,0.00002547602,0.000002858112,0.000022683555,0.000001526903,0.00030318467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840814,0.00069963466,0.00015521859,0.00022654491,0.000228644,0.00028185072],"domain_scores_gemma":[0.88159174,0.097690426,0.01236789,0.0024644737,0.0021565612,0.003728994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054442687,0.00019473012,0.0008171896,0.0017901037,0.00060001743,0.0032828974,0.0009166988,0.002206787,0.002999321],"category_scores_gemma":[0.0378972,0.00020094572,0.0007884319,0.001444363,0.002673999,0.004194475,0.0021601284,0.0013514187,0.00023152257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020338062,0.000999439,0.8693988,0.00025665513,0.00035425602,0.0014414255,0.0027672453,0.025520705,0.002274245,0.039670914,0.0005690986,0.05471353],"study_design_scores_gemma":[0.00021876022,0.0013663754,0.82007015,0.000120832876,0.0002807646,0.0011756795,0.004037962,0.04846093,0.0016727162,0.121060975,0.0014053889,0.00012947511],"about_ca_topic_score_codex":0.002028836,"about_ca_topic_score_gemma":0.0026908375,"teacher_disagreement_score":0.0054442687,"about_ca_system_score_codex":0.0012979438,"about_ca_system_score_gemma":0.0006228624,"threshold_uncertainty_score":0.02879244},"labels":[],"label_agreement":null},{"id":"W2024223666","doi":"10.1002/hec.814","title":"Simulation of a Hirschman–Herfindahl index without complete market share information","year":2003,"lang":"en","type":"article","venue":"Health Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Herfindahl index; Index (typography); Market share; Competition (biology); Business; Actuarial science; Economics; Marketing; Computer science","score_opus":0.056869851166007596,"score_gpt":0.25868659427526475,"score_spread":0.20181674310925715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024223666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69825757,0.00060101517,0.2663316,0.0015176369,0.000098733944,0.00038189045,0.0029910502,0.0006959158,0.029124578],"genre_scores_gemma":[0.9486063,0.00022305312,0.044592936,0.000107072905,0.000019171426,0.00025501443,0.001074331,0.00006262338,0.0050594113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993125,0.00027715057,0.00003833191,0.000114428025,0.0001238126,0.00013381756],"domain_scores_gemma":[0.9834524,0.013907846,0.0011112108,0.0005090758,0.0007082804,0.00031128456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040881922,0.00058508385,0.0008964083,0.0023957961,0.00072205433,0.001788341,0.0015839535,0.0019067161,0.005668443],"category_scores_gemma":[0.01830566,0.0005282195,0.0009234283,0.001958915,0.0010725555,0.0023333502,0.001043203,0.0009858392,0.00053843524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079563615,0.00004647371,0.0046472247,0.00003368197,0.000017482309,0.00009853574,0.00008285024,0.95934,0.00025851338,0.031276274,0.0005458923,0.003573498],"study_design_scores_gemma":[0.000031484822,0.000026610607,0.00052883045,0.000008883514,0.0000059110184,0.00002390187,0.000034654815,0.9878852,0.0002801762,0.01065058,0.000510788,0.000012995556],"about_ca_topic_score_codex":0.02119172,"about_ca_topic_score_gemma":0.009871085,"teacher_disagreement_score":0.02119172,"about_ca_system_score_codex":0.0021445325,"about_ca_system_score_gemma":0.0016480891,"threshold_uncertainty_score":0.04213673},"labels":[],"label_agreement":null},{"id":"W2026466700","doi":"10.1016/j.ijindorg.2003.12.001","title":"Competing models of firm profitability","year":2004,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Profitability index; Monopoly; Industrial organization; Economics; Panel data; Market power; Market structure; Microeconomics; Business; Finance; Econometrics","score_opus":0.06385609225389974,"score_gpt":0.23893073451752547,"score_spread":0.17507464226362573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026466700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50689787,0.012050013,0.29526877,0.042605545,0.000960508,0.00025997765,0.0025737963,0.00088109914,0.13850245],"genre_scores_gemma":[0.94955015,0.0023343372,0.006893766,0.00060531124,0.0005560049,0.000101651254,0.0004890725,0.00009632879,0.039373364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976426,0.0012396132,0.000079292986,0.00029676076,0.0002183124,0.0005233969],"domain_scores_gemma":[0.9705211,0.023595843,0.0017649806,0.0009769362,0.0012649513,0.0018763348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007090931,0.0014824733,0.0034557793,0.0021651234,0.0015711766,0.00822257,0.0060883593,0.009325674,0.02386283],"category_scores_gemma":[0.027213119,0.0017128355,0.0025785938,0.002636141,0.003750395,0.008309022,0.00247345,0.004842748,0.0020485665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023298583,0.00017275839,0.0021739868,0.00014693379,0.00011074054,0.0003200041,0.0003045834,0.16243759,0.00017331401,0.81939226,0.0068457974,0.007689069],"study_design_scores_gemma":[0.000148305,0.000072054,0.001161799,0.00004190913,0.000077931305,0.0001553254,0.0001706197,0.47469667,0.0000472102,0.5212027,0.00217299,0.000052432348],"about_ca_topic_score_codex":0.010284947,"about_ca_topic_score_gemma":0.010154046,"teacher_disagreement_score":0.02386283,"about_ca_system_score_codex":0.004262926,"about_ca_system_score_gemma":0.001567441,"threshold_uncertainty_score":0.07982916},"labels":[],"label_agreement":null},{"id":"W2026856129","doi":"10.1108/01437720210432211","title":"Employment equity in South Africa: lessons from the global school","year":2002,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Legislation; Affirmative action; Business; Economic growth; Finance; Economics; Political science; Law","score_opus":0.10781887843137412,"score_gpt":0.31186672413586686,"score_spread":0.20404784570449275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026856129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43864965,0.08373998,0.0017510786,0.26313722,0.00093847886,0.00011282617,0.00020660226,0.00003410373,0.2114301],"genre_scores_gemma":[0.9489409,0.033598304,0.00058187847,0.0051971856,0.00024070729,0.00003286496,0.00004194818,0.000017899201,0.011348184],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999458,0.00015997388,0.00001904098,0.00003323562,0.000059472288,0.00027030896],"domain_scores_gemma":[0.99899477,0.00048782385,0.000096791155,0.000032040938,0.00010459932,0.00028398194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014502441,0.00039781904,0.00026773414,0.0012266524,0.0029560316,0.0035049021,0.00039051488,0.0013752478,0.0073905294],"category_scores_gemma":[0.002827727,0.00014764884,0.00025941632,0.001963652,0.003017067,0.004250357,0.0037173354,0.0023938664,0.0003067375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015591079,0.00018544393,0.035301022,0.0012368496,0.000041183655,0.0045496295,0.08722835,0.0014519704,0.0007845513,0.3538463,0.028255252,0.4869635],"study_design_scores_gemma":[0.00008151686,0.00027201016,0.08923325,0.0054083997,0.000085636784,0.0014613916,0.17784646,0.0006585425,0.0016509261,0.11347912,0.6097675,0.000055211385],"about_ca_topic_score_codex":0.02987715,"about_ca_topic_score_gemma":0.067419894,"teacher_disagreement_score":0.02987715,"about_ca_system_score_codex":0.0039971084,"about_ca_system_score_gemma":0.007193968,"threshold_uncertainty_score":0.05940652},"labels":[],"label_agreement":null},{"id":"W2027382747","doi":"10.4236/ti.2012.31005","title":"The Impact of Adoption of Flexible Manufacturing Technology on Price Cost Margin of Malaysian Manufacturing Industry","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multicollinearity; Principal component analysis; Manufacturing; Econometrics; Explanatory power; Principal (computer security); Margin (machine learning); Industrial organization; Operations management; Business; Statistics; Computer science; Economics; Regression analysis; Marketing; Mathematics","score_opus":0.027642683370576345,"score_gpt":0.251333483179188,"score_spread":0.22369079980861167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027382747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834466,0.00012009039,0.000061850784,0.000051338153,0.0000014652448,0.000001801361,0.00006132992,0.000002544414,0.0013549828],"genre_scores_gemma":[0.9996804,0.000054105756,0.000024581885,0.0000039263477,0.000002102673,5.471973e-7,0.000040180807,4.767622e-7,0.00019363493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995566,0.00011040618,0.000026611313,0.00006036907,0.00010989732,0.00013613387],"domain_scores_gemma":[0.9948118,0.0020179737,0.0021787644,0.00014789974,0.00044995575,0.00039362485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005604842,0.00017407663,0.00013325892,0.00055464136,0.00013460651,0.0011338147,0.00018274398,0.00026432757,0.0021802357],"category_scores_gemma":[0.0037813308,0.00007829963,0.00028853602,0.0007143819,0.00030078433,0.00057767064,0.00047301833,0.0005211336,0.00020985608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013973458,0.00008844161,0.9769795,0.00003448243,0.000059028243,0.00049405836,0.00023514559,0.005617213,0.0017474603,0.00077000086,0.00016973412,0.013665198],"study_design_scores_gemma":[0.0000016960421,0.00011997563,0.9961539,0.000008950962,0.000015349779,0.00007829242,0.00036702582,0.0023607474,0.00046460988,0.00008486623,0.00033910316,0.000005381957],"about_ca_topic_score_codex":0.009395093,"about_ca_topic_score_gemma":0.010613048,"teacher_disagreement_score":0.009395093,"about_ca_system_score_codex":0.00077127817,"about_ca_system_score_gemma":0.00052103354,"threshold_uncertainty_score":0.01868081},"labels":[],"label_agreement":null},{"id":"W2028861394","doi":"10.1111/j.1475-4991.2010.00389.x","title":"ARE SERVICE FIRMS AFFECTED BY EXCHANGE RATE MOVEMENTS?","year":2010,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Victoria","funders":"","keywords":"Profitability index; Exchange rate; Tertiary sector of the economy; Service (business); Business; Manufacturing sector; Liberian dollar; Monetary economics; Industrial organization; Economics; Labour economics; Marketing; Finance","score_opus":0.01989474286381479,"score_gpt":0.2505456025714033,"score_spread":0.2306508597075885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028861394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303115,0.0022319464,0.00015696614,0.003365923,0.000025056546,0.000013244126,0.0003820042,0.000016378786,0.010777339],"genre_scores_gemma":[0.9966,0.0017526455,0.00003230762,0.00025313563,0.000056405977,0.0000029460316,0.00029428166,0.0000029197315,0.0010054384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993363,0.00011956393,0.00004128883,0.000060969225,0.00014872267,0.00029317552],"domain_scores_gemma":[0.9927401,0.0011304052,0.0050900267,0.00020205748,0.00033056634,0.0005069928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071852637,0.00012670574,0.00032946948,0.0009898286,0.00034553575,0.001993941,0.00029656748,0.0008805454,0.0055497144],"category_scores_gemma":[0.006965847,0.00012268031,0.00030817406,0.0025053476,0.00056522636,0.0013849272,0.00051962154,0.00057144585,0.0010242518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022471217,0.000091993395,0.9549231,0.00006660184,0.000055856122,0.00081343733,0.0008511309,0.00044032733,0.0005262284,0.0024884287,0.0026143598,0.036903862],"study_design_scores_gemma":[0.000018626693,0.00006576987,0.98859113,0.00003676122,0.000034006905,0.00045404007,0.0028978707,0.00058388035,0.00020821148,0.0019207178,0.0051771575,0.000011825945],"about_ca_topic_score_codex":0.017908555,"about_ca_topic_score_gemma":0.016130533,"teacher_disagreement_score":0.017908555,"about_ca_system_score_codex":0.00076415506,"about_ca_system_score_gemma":0.00054074865,"threshold_uncertainty_score":0.03560859},"labels":[],"label_agreement":null},{"id":"W2029144486","doi":"10.4236/ti.2012.32012","title":"Entrepreneurial Activity, Entry and Persistence of Firms: Econometric Analysis Based on Count Data","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometric analysis; Persistence (discontinuity); Survey data collection; Econometric model; Perspective (graphical); Business; Economics; Variable (mathematics); Industrial organization; Econometrics; Computer science; Statistics","score_opus":0.062430356533361125,"score_gpt":0.23689123752539198,"score_spread":0.17446088099203086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029144486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815136,0.0005183122,0.015266455,0.0004066119,0.00001762639,0.00005533163,0.0010768466,0.000055384317,0.0010897616],"genre_scores_gemma":[0.9940848,0.00032997588,0.0025366703,0.000029351417,0.00006457487,0.00008158422,0.0017172212,0.000012569313,0.001143223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971269,0.0016512568,0.00015509954,0.00036667113,0.00035819874,0.00034193514],"domain_scores_gemma":[0.9425931,0.0463162,0.0076243505,0.0015949653,0.00087037776,0.0010009974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054417057,0.00045144145,0.0011933589,0.0036070682,0.0005217335,0.0024251994,0.0013430204,0.0010930102,0.0035089531],"category_scores_gemma":[0.033013154,0.00036714284,0.0012573992,0.0042332537,0.0008148437,0.0018061496,0.0013913831,0.0012161215,0.00080408057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032565373,0.00040843597,0.9108331,0.00012549623,0.0005104938,0.00072631444,0.00057769875,0.047391493,0.0003685329,0.007550819,0.0013588173,0.029823141],"study_design_scores_gemma":[0.0000892988,0.00033062106,0.36940062,0.0000877465,0.00027314894,0.00038177805,0.0012796143,0.6144358,0.00058627763,0.010572721,0.0024843032,0.00007808906],"about_ca_topic_score_codex":0.009678357,"about_ca_topic_score_gemma":0.004943832,"teacher_disagreement_score":0.009678357,"about_ca_system_score_codex":0.00065329456,"about_ca_system_score_gemma":0.000632362,"threshold_uncertainty_score":0.028778851},"labels":[],"label_agreement":null},{"id":"W2030035678","doi":"10.1093/icc/dtj017","title":"Plant turnover and productivity growth in Canadian manufacturing","year":2006,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Management; Agricultural economics; Library science; History; Operations management; Economics; Economic growth; Computer science","score_opus":0.15076205083048846,"score_gpt":0.19644079434515335,"score_spread":0.04567874351466489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030035678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914294,0.0012719688,0.00017048237,0.00064608996,0.000010242939,0.000008476161,0.0016407212,0.000017483833,0.004804977],"genre_scores_gemma":[0.99755883,0.00045034706,0.00006111192,0.000025768062,0.0000057823995,0.0000020661498,0.00068053574,0.0000022720756,0.0012132411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935895,0.000024425495,0.000015754833,0.00005214476,0.00025658865,0.00029215027],"domain_scores_gemma":[0.99747247,0.0002682517,0.00070328306,0.000072482304,0.00095231907,0.00053104566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071122224,0.00016000085,0.00023440653,0.0027034522,0.0013573244,0.0011980416,0.00060670683,0.0004181112,0.0019152007],"category_scores_gemma":[0.0035719464,0.00013926734,0.0003880134,0.0032961736,0.00061433227,0.0003462701,0.0005855162,0.0006479245,0.00019258303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015142451,0.000033247692,0.9655524,0.000057022968,0.000050510876,0.00038338508,0.0014930498,0.00399262,0.0005619057,0.0019927768,0.0030464907,0.022685163],"study_design_scores_gemma":[0.0000042844636,0.000010575386,0.99371654,0.00002256627,0.000013036176,0.000062519124,0.0007938465,0.0026239941,0.00014917292,0.00011527443,0.0024791528,0.000009139152],"about_ca_topic_score_codex":0.98032254,"about_ca_topic_score_gemma":0.98699063,"teacher_disagreement_score":0.031425368,"about_ca_system_score_codex":0.031425368,"about_ca_system_score_gemma":0.014607534,"threshold_uncertainty_score":0.22800809},"labels":[],"label_agreement":null},{"id":"W2030474960","doi":"10.1093/cje/bei038","title":"The employment elasticity in manufacturing: a rejoinder","year":2005,"lang":"en","type":"article","venue":"Cambridge Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Elasticity (physics); Economics; Econometrics; Labour economics; Thermodynamics; Physics","score_opus":0.032170867707910264,"score_gpt":0.2155285817683399,"score_spread":0.1833577140604296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030474960","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007564264,0.27871677,0.027552169,0.6371901,0.029036388,0.00006585957,0.00055616547,0.00016467397,0.01915357],"genre_scores_gemma":[0.15069781,0.34843814,0.06663295,0.1714195,0.22483893,0.00031038967,0.0004933933,0.000838435,0.036330484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99169886,0.0023973305,0.0010647987,0.002065317,0.0026275846,0.00014619766],"domain_scores_gemma":[0.9382431,0.04435735,0.0011058804,0.0053447085,0.0102064125,0.00074262504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023760986,0.0015920602,0.0044552013,0.00427015,0.0018991422,0.007945478,0.004102572,0.012822873,0.0050339946],"category_scores_gemma":[0.041225232,0.0012449921,0.0017068174,0.0035309908,0.019540038,0.024030928,0.008040186,0.030735748,0.0025456802],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001630166,0.00010638581,0.0021314856,0.0012238459,0.00018124227,0.00027116173,0.0013924685,0.0023007,0.00038043474,0.70417404,0.10949261,0.1781827],"study_design_scores_gemma":[0.000042883785,0.00006954833,0.001332345,0.00088573544,0.000056265908,0.00042092797,0.00079345907,0.0020139704,0.00028749258,0.6628911,0.33110446,0.00010193007],"about_ca_topic_score_codex":0.005066068,"about_ca_topic_score_gemma":0.0029966359,"teacher_disagreement_score":0.023760986,"about_ca_system_score_codex":0.0031915316,"about_ca_system_score_gemma":0.002504772,"threshold_uncertainty_score":0.12566161},"labels":[],"label_agreement":null},{"id":"W2032188995","doi":"10.1080/23322039.2014.920269","title":"Inter-organizational linkages and resource dependence","year":2014,"lang":"en","type":"article","venue":"Cogent Economics & Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resource dependence theory; Resource (disambiguation); Transaction cost; Extant taxon; Assertion; Industrial organization; Business; De facto; Database transaction; Population; Empirical research; Resource-based view; Economics; Microeconomics; Marketing; Competitive advantage; Computer science; Statistics; Finance","score_opus":0.015249158957864222,"score_gpt":0.1863979649383582,"score_spread":0.17114880598049398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032188995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97829914,0.0003403665,0.0010116736,0.00026187106,0.0000029004234,0.00001445546,0.00012705947,0.0000040466266,0.019938502],"genre_scores_gemma":[0.9991817,0.00013334437,0.00012479612,0.000018848767,0.000001577321,0.0000043802106,0.00004974122,8.390321e-7,0.00048475663],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986903,0.00032470823,0.00008204791,0.00015473872,0.0003557896,0.0003924738],"domain_scores_gemma":[0.9904005,0.0032193633,0.0036701683,0.000631298,0.0009817993,0.0010968625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011332424,0.00013617626,0.00017088045,0.0018064523,0.0011783986,0.0016291994,0.00044348024,0.000309869,0.0051311892],"category_scores_gemma":[0.00696618,0.00012793728,0.0001281363,0.0031598737,0.0024324085,0.0014149946,0.0020871665,0.00038363232,0.00018483233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051990268,0.00010879554,0.94851375,0.000052551517,0.000068643065,0.00017680795,0.0030414255,0.0012136522,0.00033377743,0.019566378,0.00033312268,0.026539195],"study_design_scores_gemma":[0.000004427492,0.000028486933,0.97524285,0.00007358843,0.00002056366,0.00014831373,0.007845347,0.00092212064,0.00016331088,0.009998912,0.00554061,0.000011459489],"about_ca_topic_score_codex":0.09312807,"about_ca_topic_score_gemma":0.1492972,"teacher_disagreement_score":0.09312807,"about_ca_system_score_codex":0.0025079085,"about_ca_system_score_gemma":0.0024427255,"threshold_uncertainty_score":0.18517202},"labels":[],"label_agreement":null},{"id":"W2033994897","doi":"10.2139/ssrn.1094213","title":"Canadian Firm and Job Dynamics","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boom; Productivity; Economics; Labour economics; Product market; Commodity market; Creative destruction; Commodity; Product (mathematics); Job creation; Market economy; Macroeconomics; Finance; Engineering","score_opus":0.01136966767089713,"score_gpt":0.18171513549588647,"score_spread":0.17034546782498933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033994897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7086561,0.0057720784,0.00049193006,0.021068044,0.0002309265,0.00007365898,0.02024915,0.000087913264,0.24337028],"genre_scores_gemma":[0.9432604,0.0019667079,0.00012689589,0.0003843075,0.0000456502,0.0000123330265,0.002034776,0.00002195729,0.052146975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991066,0.00006281581,0.000018602314,0.00008083097,0.00029893787,0.00043219287],"domain_scores_gemma":[0.99428385,0.00082022033,0.0004562722,0.00010620728,0.0020924148,0.0022411027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010397963,0.00024045617,0.00031569533,0.0041778334,0.0052415836,0.0033991025,0.0009404626,0.0010571973,0.033378158],"category_scores_gemma":[0.0064526126,0.0002255877,0.00032817852,0.006635176,0.0010520883,0.001021076,0.00094406574,0.0013073637,0.0017711804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046507706,0.00030201714,0.5411283,0.000271679,0.00010776726,0.0006212102,0.008391474,0.006472011,0.00038697204,0.12927617,0.2232682,0.08930915],"study_design_scores_gemma":[0.00004144226,0.000039618317,0.8361133,0.0001966012,0.000051650055,0.00010749265,0.011496956,0.003601461,0.00020124333,0.005278258,0.14278726,0.00008479171],"about_ca_topic_score_codex":0.9941737,"about_ca_topic_score_gemma":0.99785197,"teacher_disagreement_score":0.05593064,"about_ca_system_score_codex":0.05593064,"about_ca_system_score_gemma":0.04839582,"threshold_uncertainty_score":0.40580714},"labels":[],"label_agreement":null},{"id":"W2034587401","doi":"10.1002/smj.344","title":"Profitability of small‐ and medium‐sized enterprises in high‐tech industries: the case of the biotechnology industry","year":2003,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":332,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Profitability index; Innovator; Internationalization; Industrial organization; Business; Position (finance); High tech; Empirical research; Marketing; International trade; Entrepreneurship; Finance","score_opus":0.04150749817029691,"score_gpt":0.2322984676416347,"score_spread":0.19079096947133778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034587401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595296,0.00018592052,0.00013358699,0.00030892706,0.0000020327416,0.0000037068237,0.000025646917,0.0000026736861,0.0033845538],"genre_scores_gemma":[0.99968433,0.000045744786,0.000022289978,0.000010497987,0.0000025084785,7.061555e-7,0.000018352765,2.599536e-7,0.0002153272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970526,0.000074028954,0.000011008082,0.000028204295,0.0000789096,0.00010267498],"domain_scores_gemma":[0.996411,0.0015964711,0.00070853374,0.00005870202,0.00041051884,0.0008147214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062820385,0.000099462486,0.00019820272,0.00079601625,0.0007163771,0.0016848103,0.0002601696,0.00058873475,0.0024160533],"category_scores_gemma":[0.0018883446,0.000059391197,0.00021147987,0.0007891114,0.000713879,0.0006986477,0.0008680344,0.0005983667,0.0003389922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005614777,0.00048614905,0.9334802,0.00009803445,0.000070045295,0.0050830804,0.0020100551,0.0111792255,0.0045468877,0.012747301,0.0024699073,0.027267545],"study_design_scores_gemma":[0.000035009685,0.00026667045,0.9582484,0.000049830407,0.00005401637,0.0011231947,0.0091976,0.017478472,0.0021301808,0.00832824,0.0030541408,0.00003428895],"about_ca_topic_score_codex":0.00808828,"about_ca_topic_score_gemma":0.010309856,"teacher_disagreement_score":0.00808828,"about_ca_system_score_codex":0.001466839,"about_ca_system_score_gemma":0.00074625615,"threshold_uncertainty_score":0.016082406},"labels":[],"label_agreement":null},{"id":"W2035405061","doi":"10.1108/00251741211220138","title":"Rapid growth and rapid internationalization: the case of smaller enterprises from Canada","year":2012,"lang":"en","type":"article","venue":"Management Decision","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Internationalization; Publication; Revenue; Extant taxon; Marketing; Business; Profit (economics); Population; Order (exchange); Industrial organization; Economics; Accounting; International trade; Finance; Advertising","score_opus":0.026243604518222007,"score_gpt":0.2137095504158732,"score_spread":0.1874659458976512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035405061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722419,0.0004414638,0.00009229154,0.0027306578,0.000015623558,0.000050289953,0.00024566782,0.000007975967,0.024174081],"genre_scores_gemma":[0.99281585,0.0010118359,0.00014644653,0.00040246785,0.0000071352156,0.000016832495,0.00027235842,0.00001199023,0.0053150724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973412,0.00015034848,0.000043256194,0.00014909852,0.0004910231,0.0018249883],"domain_scores_gemma":[0.9945234,0.00076424156,0.0005205778,0.00017798768,0.0015569256,0.0024568671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013285961,0.00045140076,0.00041349107,0.0029787307,0.020570895,0.006814012,0.0015482804,0.0011255072,0.004342384],"category_scores_gemma":[0.0051056356,0.00029002974,0.0004949956,0.006579753,0.003903744,0.0016969452,0.0042286934,0.0023102004,0.00027977664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003098355,0.00030671185,0.60594773,0.00023941502,0.00007297492,0.0175879,0.26877427,0.0014464539,0.0012074353,0.03676942,0.013749448,0.053588536],"study_design_scores_gemma":[0.000022684657,0.000050635263,0.43138078,0.00028748138,0.000058971764,0.0013499421,0.51358455,0.0015392392,0.00039856863,0.0014261582,0.0498146,0.0000863885],"about_ca_topic_score_codex":0.9940858,"about_ca_topic_score_gemma":0.9956958,"teacher_disagreement_score":0.07624662,"about_ca_system_score_codex":0.07624662,"about_ca_system_score_gemma":0.09225722,"threshold_uncertainty_score":0.5532105},"labels":[],"label_agreement":null},{"id":"W20355664","doi":"10.1166/jnn.2010.2047","title":"FUNDAMENTAL AND INDUCED BIASES IN TECHNOLOGICAL CHANGE IN CENTRAL CANADIAN AGRICULTURE / доклад на 25 конференции IAAE, Reshaping Agriculture’s Contribution to Society, International Convention Centre, Durban, South Africa, 16-23 August 2003","year":2003,"lang":"en","type":"article","venue":"Journal of Nanoscience and Nanotechnology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frontier; Agriculture; Technological change; Convention; Technical change; Agricultural economics; Geography; Regional science; Economics; Economy; Economic growth; Political science; Archaeology; Productivity; Law; Macroeconomics","score_opus":0.043202981301412605,"score_gpt":0.2338858403105734,"score_spread":0.19068285900916082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20355664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508584,0.00060025573,0.00034668398,0.00068159995,0.000018598033,0.000016868844,0.0008513194,0.000022831251,0.012375944],"genre_scores_gemma":[0.99696416,0.00016582593,0.00020854866,0.000029741017,0.0000019918,0.0000046734226,0.00010709743,0.0000042436254,0.0025136082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999471,0.00003710721,0.000014593388,0.00009259704,0.00021199416,0.00017278417],"domain_scores_gemma":[0.99907506,0.00013027187,0.00011282964,0.000055104214,0.00055252825,0.00007431478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008732999,0.00011120767,0.00016549995,0.00083815306,0.0016845649,0.001272804,0.00037712275,0.0002913431,0.002703668],"category_scores_gemma":[0.0022034035,0.00012810917,0.00011566152,0.001893441,0.001027852,0.00028446887,0.00044520292,0.00032466606,0.00021912696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000976643,0.00022816198,0.68070585,0.00026953235,0.00021364487,0.0004954632,0.007874185,0.011308407,0.102974795,0.04762798,0.009074401,0.13825087],"study_design_scores_gemma":[0.00001698443,0.00004571094,0.9515921,0.000027138321,0.00003949706,0.00006974715,0.0017134937,0.0030263427,0.019701786,0.002877195,0.020832896,0.000057064186],"about_ca_topic_score_codex":0.844465,"about_ca_topic_score_gemma":0.9262238,"teacher_disagreement_score":0.15553498,"about_ca_system_score_codex":0.022043437,"about_ca_system_score_gemma":0.010064243,"threshold_uncertainty_score":0.31290185},"labels":[],"label_agreement":null},{"id":"W2037228268","doi":"10.5539/ibr.v5n6p83","title":"The Growth Choices of French Listed SMEs","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Context (archaeology); Stock market; Investment (military); Stock (firearms); Industrial organization; Finance; Accounting","score_opus":0.11472915905730141,"score_gpt":0.3437709648595056,"score_spread":0.22904180580220418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037228268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932482,0.0004087557,0.000025763815,0.00046250428,0.0000044463754,0.000002272585,0.00017691268,0.0000029360733,0.0056681396],"genre_scores_gemma":[0.9966923,0.00019120205,0.000021115524,0.0000612054,0.0000059422327,0.000002681454,0.00017256856,0.0000019130894,0.0028510387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949276,0.0001924778,0.000019473635,0.00004019465,0.00005728398,0.00019780577],"domain_scores_gemma":[0.9983304,0.00045864758,0.00037875035,0.000038127087,0.00036022122,0.00043381908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000948189,0.00013985767,0.00013912572,0.0010645702,0.0006674436,0.0017935443,0.00014109496,0.00052486116,0.0042068297],"category_scores_gemma":[0.0026478323,0.000058154736,0.00018794395,0.00077107496,0.00029201581,0.0004971341,0.00045041583,0.00027957212,0.00081655633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000926813,0.00018788081,0.9029025,0.0000631001,0.00004111401,0.0025047958,0.020422887,0.0011055741,0.0025029117,0.005931549,0.005849814,0.057561003],"study_design_scores_gemma":[0.000016670925,0.00018062297,0.9549951,0.00008200881,0.00001337027,0.0006024646,0.025278654,0.0011006468,0.00056583545,0.00069835613,0.016427703,0.0000385086],"about_ca_topic_score_codex":0.054585062,"about_ca_topic_score_gemma":0.053602584,"teacher_disagreement_score":0.054585062,"about_ca_system_score_codex":0.0015279658,"about_ca_system_score_gemma":0.00049610424,"threshold_uncertainty_score":0.10853469},"labels":[],"label_agreement":null},{"id":"W2037403259","doi":"10.7202/050604ar","title":"L'effet du développement de la petite entreprise sur l'évolution du syndicalisme au Canada","year":2005,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.014721914608395616,"score_gpt":0.20211786422637773,"score_spread":0.18739594961798212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037403259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958112,0.0011842735,0.0014547238,0.0051203254,0.00002960383,0.000028568424,0.002085589,0.00008527313,0.031899553],"genre_scores_gemma":[0.9763801,0.0008369116,0.0005196748,0.00021356321,0.000010805782,0.00000924779,0.00041539918,0.000016554532,0.021597626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897015,0.00011201993,0.000022974335,0.00015377645,0.00033081073,0.00041026765],"domain_scores_gemma":[0.9955396,0.000728555,0.0008506254,0.00017800089,0.001220039,0.0014831336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008022487,0.0002560416,0.00032095303,0.0013473135,0.002481226,0.0028708554,0.0006563241,0.0005519965,0.011740695],"category_scores_gemma":[0.0038883383,0.00026029933,0.00039739907,0.0023565297,0.001955493,0.000824146,0.001393718,0.0010362555,0.00036417303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067192124,0.00013533221,0.7874214,0.00027821492,0.0003554007,0.00085674156,0.011797163,0.012037106,0.004022161,0.094887935,0.009924061,0.07761261],"study_design_scores_gemma":[0.000035902794,0.00009681753,0.93012947,0.00016222624,0.00010790604,0.00012474216,0.008535595,0.0033373598,0.0009465047,0.00393284,0.05254571,0.000045024117],"about_ca_topic_score_codex":0.9721096,"about_ca_topic_score_gemma":0.9808811,"teacher_disagreement_score":0.033026613,"about_ca_system_score_codex":0.033026613,"about_ca_system_score_gemma":0.04193746,"threshold_uncertainty_score":0.23962599},"labels":[],"label_agreement":null},{"id":"W2039246373","doi":"10.1016/j.resourpol.2009.09.002","title":"The evolution of the Canadian mining industry: The role of regulatory punctuation","year":2009,"lang":"en","type":"article","venue":"Resources Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Vancouver Island University","funders":"","keywords":"Punctuation; Extant taxon; Incentive; Industrial organization; Legislation; Skew; Economic geography; Mining industry; Economics; Business; Market economy; Evolutionary biology; Political science; Computer science; Biology; Law; Engineering","score_opus":0.01254513777593297,"score_gpt":0.20283352927249662,"score_spread":0.19028839149656365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039246373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7713225,0.008389786,0.002045353,0.05454956,0.00016892243,0.00006672572,0.0025713725,0.00012623842,0.1607595],"genre_scores_gemma":[0.9870704,0.0013490588,0.00036491276,0.0006825421,0.00003220568,0.0000056318395,0.00020060693,0.000016871987,0.010277683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979169,0.00017976912,0.00005197193,0.00020042954,0.00069683854,0.0009540672],"domain_scores_gemma":[0.9942274,0.00085022434,0.00067387876,0.00019414093,0.003005869,0.0010484871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022503275,0.00026381016,0.00044949428,0.0030615763,0.004765664,0.005966782,0.0015135298,0.002068406,0.0057685],"category_scores_gemma":[0.009421263,0.00023794771,0.00048317574,0.0040641674,0.0036398342,0.0015671313,0.0013157562,0.0016253601,0.00026793178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006644635,0.00016948109,0.17149371,0.00042469488,0.00016889651,0.0007796948,0.0063847955,0.0313075,0.003854452,0.63219136,0.036285724,0.11627519],"study_design_scores_gemma":[0.000052913223,0.00007899521,0.7439232,0.00032328753,0.00012792082,0.00011770117,0.0072142533,0.017017573,0.0015572996,0.029775575,0.19961934,0.00019203681],"about_ca_topic_score_codex":0.98870623,"about_ca_topic_score_gemma":0.99468,"teacher_disagreement_score":0.12168046,"about_ca_system_score_codex":0.12168046,"about_ca_system_score_gemma":0.11992004,"threshold_uncertainty_score":0.8828577},"labels":[],"label_agreement":null},{"id":"W2039517609","doi":"10.1142/9789814417983_0018","title":"RISK REDUCTION OF THE SUPPLY CHAIN THROUGH POOLING LOSSES IN CASE OF BANKRUPTCY OF SUPPLIERS USING THE BLACK-SCHOLES-MERTON PRICING MODEL","year":2013,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bankruptcy; Pooling; Supply chain; Reduction (mathematics); Black–Scholes model; Business; Economics; Econometrics; Actuarial science; Microeconomics; Computer science; Finance; Mathematics; Artificial intelligence","score_opus":0.03332881589975047,"score_gpt":0.2399296543511991,"score_spread":0.2066008384514486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039517609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13652995,0.00031710224,0.85664743,0.0005234463,0.000034679677,0.0000702306,0.00007683097,0.00019941479,0.0056009144],"genre_scores_gemma":[0.97629863,0.00024733788,0.017660704,0.000035569756,0.00002495181,0.00007335564,0.00005551016,0.000018302375,0.0055857464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990953,0.00033314255,0.00004850939,0.00018279009,0.00021260048,0.00012764224],"domain_scores_gemma":[0.99844486,0.0008492908,0.00034349028,0.000104350496,0.00016989268,0.00008812487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024248806,0.000843885,0.0010119751,0.000623429,0.00051289424,0.0018460583,0.0014855143,0.001203518,0.0024551256],"category_scores_gemma":[0.0055714333,0.0006103654,0.0013489467,0.0007201469,0.00090621255,0.002983755,0.0010450643,0.0013049982,0.00018158839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536069,0.000047619113,0.0028281629,0.00004170325,0.00007111695,0.00029503033,0.0001453636,0.93283784,0.001586035,0.04867497,0.00037018117,0.013016659],"study_design_scores_gemma":[0.0000069701123,0.000021786995,0.0003119645,0.0000035609767,0.000019460034,0.00002545538,0.000014096917,0.99177647,0.00025408508,0.0074573546,0.00010000525,0.000008899347],"about_ca_topic_score_codex":0.005767622,"about_ca_topic_score_gemma":0.0033247103,"teacher_disagreement_score":0.005767622,"about_ca_system_score_codex":0.0009637594,"about_ca_system_score_gemma":0.00091095443,"threshold_uncertainty_score":0.012824178},"labels":[],"label_agreement":null},{"id":"W2039796676","doi":"10.2139/ssrn.1833022","title":"Impact of Policy Distortions on Plant-Level Innovation, Productivity Dynamics and TFP","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Total factor productivity; Productivity; Economics; Economic geography; Econometrics; Industrial organization; Macroeconomics","score_opus":0.04480526081276626,"score_gpt":0.24932943592374568,"score_spread":0.20452417511097942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039796676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980923,0.0010788735,0.002382813,0.0036686354,0.00011226831,0.000032325228,0.0016922702,0.000114108094,0.009995756],"genre_scores_gemma":[0.9979832,0.00029441342,0.00015131924,0.000120702534,0.00003093713,0.000006877649,0.00020677624,0.000012067784,0.0011936646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982666,0.00048463146,0.00013126018,0.00026164073,0.0002403319,0.00061541656],"domain_scores_gemma":[0.9747688,0.018015055,0.004232363,0.0011735236,0.0011012523,0.0007089222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004280712,0.00041406916,0.0011247027,0.0007557451,0.0005403733,0.004178423,0.0007550263,0.0026764646,0.008346037],"category_scores_gemma":[0.024994906,0.00032865477,0.00086770527,0.0012717176,0.00152927,0.0018030086,0.0011830216,0.0022402892,0.00079035084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009132086,0.0009658379,0.21372274,0.0010316693,0.0010434204,0.0018734518,0.0008424943,0.5674759,0.013963922,0.13587335,0.008057255,0.046017837],"study_design_scores_gemma":[0.0012940068,0.0023702995,0.47969583,0.00021701993,0.0015307802,0.001056582,0.0047907266,0.27801833,0.019928493,0.18757695,0.023199137,0.0003218512],"about_ca_topic_score_codex":0.01676064,"about_ca_topic_score_gemma":0.0077336608,"teacher_disagreement_score":0.01676064,"about_ca_system_score_codex":0.0041854326,"about_ca_system_score_gemma":0.0024956057,"threshold_uncertainty_score":0.03332621},"labels":[],"label_agreement":null},{"id":"W2041982431","doi":"10.1007/s11151-008-9161-4","title":"Firm Survival and Chain Growth in a Privatized Retail Liquor Store Industry","year":2008,"lang":"en","type":"article","venue":"Review of Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Calgary","keywords":"Business; Retail industry; Commerce; Industrial organization; Retail trade; Marketing","score_opus":0.06912315730759318,"score_gpt":0.22973344476829527,"score_spread":0.1606102874607021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041982431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921894,0.0024037086,0.00059126975,0.00096644036,0.0000069252987,0.0000037514703,0.000110813024,0.0000103322545,0.0037173387],"genre_scores_gemma":[0.9966311,0.0015553042,0.000066184475,0.00002497184,0.00002302173,0.0000012286437,0.00007025393,0.000001255921,0.0016266558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985194,0.00003082438,0.000008025454,0.00002169217,0.000030369136,0.0000570866],"domain_scores_gemma":[0.99611497,0.0014781813,0.0013036411,0.00014244593,0.0005655141,0.0003952952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067716104,0.00009746395,0.00019975199,0.0009265389,0.0004863138,0.0014851495,0.00031080274,0.0006082124,0.0029004386],"category_scores_gemma":[0.0021633038,0.000086934946,0.00018231253,0.0016802681,0.0011450469,0.001613224,0.00050024356,0.0006191951,0.00025081728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009065689,0.00049548125,0.73480606,0.00025674372,0.0001676245,0.0010219936,0.0014778626,0.043132294,0.004107892,0.06522911,0.004760637,0.14363775],"study_design_scores_gemma":[0.00007751788,0.00039964862,0.86118793,0.00015447322,0.00017380419,0.0002207948,0.005536771,0.05304854,0.0028611845,0.06539444,0.01088373,0.00006114935],"about_ca_topic_score_codex":0.019069381,"about_ca_topic_score_gemma":0.033257306,"teacher_disagreement_score":0.019069381,"about_ca_system_score_codex":0.0019778654,"about_ca_system_score_gemma":0.0009599567,"threshold_uncertainty_score":0.03791678},"labels":[],"label_agreement":null},{"id":"W2042734143","doi":"10.7202/050131ar","title":"Employment and the Productivity Slowdown: 1958-1980","year":2005,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03254011956387981,"score_gpt":0.22186217653931004,"score_spread":0.18932205697543023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042734143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9572048,0.0073932805,0.00014599274,0.005419513,0.00015928851,0.000026921804,0.005400347,0.000033352404,0.024216492],"genre_scores_gemma":[0.98464775,0.0028347615,0.000042605752,0.00024275968,0.000091173635,0.000011608972,0.0013882379,0.0000073432107,0.010733704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994985,0.000023188542,0.000021950787,0.00005667608,0.0001085091,0.0002911713],"domain_scores_gemma":[0.9988343,0.00012418108,0.0003236232,0.000038465612,0.00032283587,0.00035664917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061128003,0.00026525685,0.0002754025,0.0019522439,0.0016086748,0.0016913062,0.0005011556,0.0008248562,0.0057109194],"category_scores_gemma":[0.0022840372,0.00017592999,0.0002268071,0.0030288298,0.0010803316,0.00064348994,0.0011556151,0.0010093047,0.00078669155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010962115,0.00017811748,0.84353924,0.0003726836,0.00011316871,0.0013665933,0.012784608,0.0015373493,0.0012801389,0.012943755,0.02337517,0.10141297],"study_design_scores_gemma":[0.000017302593,0.000050209823,0.95132977,0.00009713111,0.000021999824,0.000064294894,0.003741454,0.00015246632,0.00031320058,0.0004126673,0.043789227,0.0000103480115],"about_ca_topic_score_codex":0.7511416,"about_ca_topic_score_gemma":0.8468588,"teacher_disagreement_score":0.7511416,"about_ca_system_score_codex":0.014267629,"about_ca_system_score_gemma":0.0067168497,"threshold_uncertainty_score":0.5006479},"labels":[],"label_agreement":null},{"id":"W2042879848","doi":"10.7202/1009034ar","title":"Le renouvellement du tissu productif à travers la création d'entreprises en France","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.014907780942657437,"score_gpt":0.22789353109100033,"score_spread":0.2129857501483429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042879848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7811507,0.021222664,0.009817184,0.012120027,0.00019276752,0.000038333346,0.0003661336,0.0001239213,0.17496836],"genre_scores_gemma":[0.9463079,0.007768686,0.0032075015,0.00043562296,0.000102073194,0.000029597113,0.00014264298,0.00004231944,0.041963547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99834585,0.0005339172,0.00003233053,0.00031164626,0.00043949753,0.00033675344],"domain_scores_gemma":[0.99747187,0.0008621702,0.0006337212,0.00016906315,0.00047485434,0.0003883205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021415786,0.00037150283,0.0003059886,0.0023010734,0.0032780187,0.005537029,0.00042103312,0.0010623377,0.008123672],"category_scores_gemma":[0.0021228965,0.00026934533,0.00042653285,0.0026442157,0.00391292,0.0023442206,0.0013451319,0.0013237736,0.00088956155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031917848,0.00018410412,0.08658839,0.00063552154,0.000109509594,0.0020945119,0.0568179,0.0024442433,0.0063983323,0.5298863,0.013307121,0.30121484],"study_design_scores_gemma":[0.000022359452,0.00024336633,0.26689517,0.00044853747,0.000037034424,0.0009883436,0.016469583,0.001126566,0.0022266519,0.022559723,0.6888972,0.00008546751],"about_ca_topic_score_codex":0.05651651,"about_ca_topic_score_gemma":0.06483304,"teacher_disagreement_score":0.05651651,"about_ca_system_score_codex":0.007347193,"about_ca_system_score_gemma":0.00423561,"threshold_uncertainty_score":0.11237508},"labels":[],"label_agreement":null},{"id":"W2043932874","doi":"10.1007/s11187-009-9250-2","title":"What happens to gazelles? The importance of dynamic management strategy","year":2010,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":292,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Entrepreneurship; Set (abstract data type); Economics; Strategic management; Key (lock); Point (geometry); Industrial organization; Microeconomics; Empirical evidence; Business; Marketing; Management; Ecology; Computer science; Biology","score_opus":0.02723015926695348,"score_gpt":0.2184091284003075,"score_spread":0.191178969133354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043932874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339579,0.002762359,0.0019883458,0.0061878543,0.00007469702,0.00003494401,0.0005139247,0.000042485404,0.054437567],"genre_scores_gemma":[0.99502724,0.00058233493,0.00033376578,0.00022505589,0.000036325193,0.0000101488195,0.00015859505,0.0000117121635,0.0036148673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998247,0.00048748637,0.00008708425,0.00045640892,0.00033824565,0.00038383706],"domain_scores_gemma":[0.99045146,0.0042249826,0.0028815365,0.0008693702,0.0008598475,0.0007128709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015757018,0.00015483347,0.0004330484,0.0016380777,0.002062607,0.0033730087,0.0006160737,0.000967809,0.005481593],"category_scores_gemma":[0.015512333,0.00013914336,0.00023372586,0.0023259923,0.0033396138,0.0044256356,0.0016033944,0.0010366071,0.00075726624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032108586,0.00013936212,0.73150706,0.0004055369,0.000109780674,0.0021432883,0.05636603,0.0008515563,0.0033159337,0.06258574,0.012752379,0.12950224],"study_design_scores_gemma":[0.000020025966,0.00014203685,0.80612123,0.00025075406,0.000036034642,0.0010664013,0.06006679,0.0009735056,0.00073117967,0.036898065,0.093607225,0.00008670499],"about_ca_topic_score_codex":0.04465685,"about_ca_topic_score_gemma":0.0659114,"teacher_disagreement_score":0.04465685,"about_ca_system_score_codex":0.0023734628,"about_ca_system_score_gemma":0.0009384562,"threshold_uncertainty_score":0.088793814},"labels":[],"label_agreement":null},{"id":"W2044241547","doi":"10.1504/ejim.2008.021249","title":"Entrepreneurship and national economic growth: the European entrepreneurial deficit","year":2008,"lang":"en","type":"article","venue":"European J of International Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entrepreneurship; Spillover effect; European union; China; Business; Economics; Knowledge spillover; Economic system; International trade; Industrial organization; Finance; Macroeconomics; Political science","score_opus":0.03161162172375348,"score_gpt":0.20259239789095018,"score_spread":0.1709807761671967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044241547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77949846,0.004262145,0.09460145,0.012468947,0.00011661995,0.000067307265,0.0015184839,0.00017787472,0.10728869],"genre_scores_gemma":[0.99210244,0.0009611586,0.0018938731,0.00015052804,0.000027449554,0.000043850207,0.00025006707,0.00001238169,0.004558251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99949,0.00018921096,0.000021309164,0.00009001179,0.0000659663,0.00014340713],"domain_scores_gemma":[0.9984289,0.00082294876,0.00035464272,0.000072172865,0.00011163449,0.0002096375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022594333,0.00053636177,0.0006008178,0.0014720592,0.00041201437,0.0028362237,0.00064121076,0.0013368987,0.0033644869],"category_scores_gemma":[0.0054745576,0.00022940301,0.00066172396,0.0014537182,0.0009902852,0.00304879,0.0022838928,0.0011673543,0.0003046011],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012467272,0.0001302558,0.024016028,0.00010790966,0.00008211276,0.00046824897,0.00027011387,0.47181794,0.00022104819,0.48045373,0.0036923832,0.018615508],"study_design_scores_gemma":[0.00012344819,0.00009723624,0.011415605,0.00022072995,0.00006790334,0.00043724128,0.00037960694,0.5543939,0.00021908848,0.41806746,0.0145294,0.00004837455],"about_ca_topic_score_codex":0.007630213,"about_ca_topic_score_gemma":0.0032864658,"teacher_disagreement_score":0.007630213,"about_ca_system_score_codex":0.0016775795,"about_ca_system_score_gemma":0.001044885,"threshold_uncertainty_score":0.0151715875},"labels":[],"label_agreement":null},{"id":"W2046989664","doi":"10.1287/isre.1100.0281","title":"Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Industrial organization; Competitive advantage; Dynamic capabilities; Software; Resource (disambiguation); Business; Function (biology); Marketing; Computer science","score_opus":0.07509571344400447,"score_gpt":0.3044475520322402,"score_spread":0.22935183858823577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046989664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524766,0.0008711267,0.00028554714,0.0012771451,0.000009825429,0.000008191629,0.00048672906,0.000012246674,0.0018015727],"genre_scores_gemma":[0.9989165,0.00024748256,0.000057848134,0.00006423211,0.0000104815945,0.0000048439297,0.00036043907,0.0000016905935,0.00033645896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999171,0.00010005973,0.00007140792,0.00015433307,0.00024325823,0.00025990873],"domain_scores_gemma":[0.987061,0.0037069626,0.0060945116,0.00027868437,0.0015713882,0.001287394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014698341,0.0002104161,0.00025466408,0.0019025021,0.0005855165,0.0014642494,0.00055576407,0.0007968036,0.0011304612],"category_scores_gemma":[0.012175004,0.00013090853,0.00033504047,0.0018691105,0.0010996416,0.0015653707,0.0010900208,0.0010478407,0.00024177227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088954206,0.00007821999,0.9699193,0.000035513014,0.000060293118,0.00030964354,0.0016228016,0.0026191412,0.00017654253,0.0012524789,0.0018272604,0.022009766],"study_design_scores_gemma":[0.000008528601,0.00011515479,0.9889113,0.000049907052,0.000046397978,0.00013766723,0.0035353897,0.002670326,0.0003047778,0.0010812914,0.00311343,0.000025819685],"about_ca_topic_score_codex":0.038527578,"about_ca_topic_score_gemma":0.045026265,"teacher_disagreement_score":0.038527578,"about_ca_system_score_codex":0.0023587742,"about_ca_system_score_gemma":0.0014500072,"threshold_uncertainty_score":0.07660663},"labels":[],"label_agreement":null},{"id":"W2047460974","doi":"10.1016/s0166-4972(01)00016-5","title":"A study of R&amp;D, innovation, and business performance in the Canadian biotechnology industry","year":2002,"lang":"en","type":"article","venue":"Technovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":274,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University at Buffalo","keywords":"Business; Revenue; Marketing; Product (mathematics); Biotechnology; Industrial organization; Sample (material); Accounting","score_opus":0.07420986278259646,"score_gpt":0.2279576252348178,"score_spread":0.15374776245222133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047460974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98492706,0.0030297448,0.0002722553,0.0016601165,0.0000119970455,0.000028666094,0.00055194466,0.000017494061,0.009500641],"genre_scores_gemma":[0.99549484,0.001102341,0.00016923166,0.00011518771,0.000014070296,0.000006419081,0.00027961572,0.00000418045,0.002814133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990694,0.00014469621,0.000025790745,0.000073504,0.00030031803,0.0003862719],"domain_scores_gemma":[0.9939102,0.0025971073,0.0008612261,0.00010967671,0.0014319376,0.0010897856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017481287,0.00040728608,0.0004309856,0.0029999884,0.0035447176,0.002370495,0.0011152554,0.0010420395,0.0028834299],"category_scores_gemma":[0.0074144946,0.00018682654,0.00069779763,0.007864959,0.0016775068,0.00090457045,0.0008115608,0.0011454418,0.00020398908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005945347,0.0006486098,0.878608,0.00024331802,0.00025335935,0.00080661004,0.004608368,0.010766545,0.0013192648,0.02682094,0.005945803,0.06938467],"study_design_scores_gemma":[0.000025277586,0.00009914326,0.98124194,0.00005800584,0.00010302054,0.000090521826,0.00321928,0.006329479,0.00033473296,0.0014135994,0.0070503047,0.00003471958],"about_ca_topic_score_codex":0.9878641,"about_ca_topic_score_gemma":0.9918847,"teacher_disagreement_score":0.94892466,"about_ca_system_score_codex":0.051075343,"about_ca_system_score_gemma":0.048991792,"threshold_uncertainty_score":0.37057924},"labels":[],"label_agreement":null},{"id":"W2047717663","doi":"10.1016/j.wpi.2014.03.001","title":"Canadian worldwide patent activity: An industrial level analysis","year":2014,"lang":"en","type":"article","venue":"World Patent Information","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Patent analysis; Value (mathematics); Business; International trade; Economic geography; Industrial organization; Economics; Computer science; Data science","score_opus":0.15997194124135208,"score_gpt":0.22260910918473878,"score_spread":0.0626371679433867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047717663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8483941,0.0041846023,0.0014549074,0.0015562325,0.000037529066,0.00017351427,0.054891326,0.0002102372,0.089097455],"genre_scores_gemma":[0.96512866,0.0016696118,0.00083619874,0.00008859853,0.00001856549,0.000038591683,0.015108406,0.000037214977,0.017074095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825984,0.000095109724,0.00006578553,0.00020406235,0.0009279096,0.00044731726],"domain_scores_gemma":[0.9925149,0.0009841163,0.00080085045,0.00024712633,0.004631253,0.0008216936],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0011845491,0.00051391707,0.0006331188,0.0108560035,0.0023112162,0.0027830086,0.0014635845,0.0006691534,0.014760853],"category_scores_gemma":[0.0070501333,0.00028212823,0.0011471442,0.025435498,0.00061396323,0.00094452454,0.0009149375,0.00082134554,0.0011473037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006297648,0.00022990376,0.8515784,0.00037160734,0.000563824,0.00047475577,0.0014743963,0.0134799415,0.000748095,0.02823666,0.03666277,0.06554988],"study_design_scores_gemma":[0.000028232198,0.00005587439,0.97285855,0.000036145917,0.00023448648,0.00008323488,0.00088984653,0.0062627033,0.00032897442,0.0005233081,0.018641278,0.00005737659],"about_ca_topic_score_codex":0.9956709,"about_ca_topic_score_gemma":0.99711275,"teacher_disagreement_score":0.98914397,"about_ca_system_score_codex":0.046695083,"about_ca_system_score_gemma":0.03965391,"threshold_uncertainty_score":0.3387981},"labels":[],"label_agreement":null},{"id":"W2048370267","doi":"10.4236/ti.2011.21002","title":"A Study on the Factors That Influence Innovation Activities of Spanish Big Firms","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Order (exchange); Structural equation modeling; Business; Sample (material); Process (computing); Product innovation; Set (abstract data type); Product (mathematics); Knowledge management; Marketing; Industrial organization; Innovation process; Innovation management; Affect (linguistics); Human resources; Big data; Economics; Computer science; Management; Work in process; Finance","score_opus":0.10961138649520873,"score_gpt":0.23124842464079595,"score_spread":0.12163703814558723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048370267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965413,0.0003679136,0.00024068402,0.00015815906,0.0000037316354,0.000014170345,0.000075096286,0.0000034420082,0.002595479],"genre_scores_gemma":[0.9991677,0.00021291517,0.00014865887,0.000024676589,0.000008225895,0.000008635021,0.000099643265,0.0000015411385,0.00032807275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901116,0.00041347122,0.000045594858,0.00012365397,0.00017715164,0.00022889407],"domain_scores_gemma":[0.9804733,0.012528405,0.0033184465,0.0005706009,0.001637404,0.0014717529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028827046,0.0003062031,0.0003366314,0.0014708554,0.0003599389,0.0016723514,0.00030750228,0.00052373897,0.0014257391],"category_scores_gemma":[0.0080956565,0.00012597135,0.00037355017,0.0018923762,0.00047580348,0.000870581,0.00071866537,0.0003617833,0.00020954796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012989865,0.0002812339,0.96573377,0.00013942603,0.00008525227,0.00029309647,0.002020565,0.0011881451,0.0007886197,0.0011683666,0.00051998143,0.027651664],"study_design_scores_gemma":[0.000013319751,0.00011185372,0.993186,0.00004713016,0.000036743426,0.000060440132,0.002771428,0.0009860703,0.00024790454,0.0005134761,0.0020156137,0.000010018688],"about_ca_topic_score_codex":0.010848434,"about_ca_topic_score_gemma":0.009289571,"teacher_disagreement_score":0.010848434,"about_ca_system_score_codex":0.0011872798,"about_ca_system_score_gemma":0.0020908625,"threshold_uncertainty_score":0.021570563},"labels":[],"label_agreement":null},{"id":"W2048716943","doi":"10.1108/ijmf-02-2013-0018","title":"Technology parks and entrepreneurial outcomes around the world","year":2013,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Commercialization; High tech; Scope (computer science); Marketing; Government (linguistics); Originality; Developing country; Economic growth; Economics; Political science","score_opus":0.013062612321216678,"score_gpt":0.225673167597742,"score_spread":0.21261055527652534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048716943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982393,0.0005200105,0.00020372275,0.00042483935,0.000020049749,0.000017374081,0.0005282821,0.000006661471,0.015886076],"genre_scores_gemma":[0.99820316,0.000323903,0.00015200353,0.00003400499,0.000009217533,0.000008271585,0.00039776776,0.0000030028637,0.000868709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948055,0.00017773877,0.000038193768,0.00006957284,0.00010193119,0.00013197458],"domain_scores_gemma":[0.9940937,0.00073633256,0.0032343806,0.00019745264,0.00045747886,0.0012806742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071911793,0.00012522665,0.00016948393,0.0020217656,0.00078439387,0.002520303,0.00024763416,0.00019797757,0.0068067713],"category_scores_gemma":[0.0030911285,0.00010891508,0.00016817855,0.0027441932,0.0006123728,0.0014181412,0.0017878984,0.00055434514,0.00060907705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073934905,0.00026800434,0.9589732,0.00008548353,0.000066788634,0.00057404704,0.0023331854,0.0005320302,0.00010855567,0.0022742746,0.0024474142,0.032262936],"study_design_scores_gemma":[0.000012255003,0.00007484781,0.9739818,0.0001310693,0.000023573548,0.00038629473,0.012007372,0.0003250856,0.0001370445,0.0010655976,0.011835796,0.000019215888],"about_ca_topic_score_codex":0.0029145635,"about_ca_topic_score_gemma":0.0071201813,"teacher_disagreement_score":0.0068067713,"about_ca_system_score_codex":0.00043907235,"about_ca_system_score_gemma":0.0004434452,"threshold_uncertainty_score":0.022770882},"labels":[],"label_agreement":null},{"id":"W2049655257","doi":"10.1057/ejdr.2014.15","title":"The determinants of the size distribution of firms in Uganda","year":2014,"lang":"en","type":"article","venue":"European Journal of Development Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Audit; Distribution (mathematics); Distortion (music); Regression discontinuity design; Business; Development anthropology; Order (exchange); Labour economics; Economics; Gender and development; Accounting; Finance; Economic growth; Social transformation","score_opus":0.06371316985499675,"score_gpt":0.284446814716594,"score_spread":0.22073364486159724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049655257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988005,0.00014823848,0.00006467148,0.00013552512,8.886419e-7,0.000003256518,0.00009713812,0.0000017311789,0.0007481286],"genre_scores_gemma":[0.99953973,0.000081463804,0.000023513721,0.000005623437,0.000002023449,0.0000024630222,0.000037491456,0.0000010343757,0.00030674742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996088,0.00012725242,0.00002239474,0.000033886878,0.000034912115,0.00017278276],"domain_scores_gemma":[0.99319035,0.0036540874,0.0019744965,0.00014494556,0.00045912364,0.00057698245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060315296,0.00010719183,0.0002511887,0.0014387504,0.0005397026,0.0011448342,0.0004655602,0.00040117037,0.0043274425],"category_scores_gemma":[0.0062232646,0.00034418152,0.00016459457,0.0017942376,0.0007010745,0.0010789416,0.0012653135,0.00059707783,0.00044518724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027405014,0.00009854239,0.9757118,0.00006487991,0.000056761415,0.0008029166,0.0034210973,0.0021371143,0.00070626143,0.00399929,0.00076049904,0.011966755],"study_design_scores_gemma":[0.0000129197315,0.0000487826,0.98995626,0.000035793124,0.000022828672,0.00026207505,0.0047480767,0.0020698588,0.0002922112,0.0015343827,0.0010073199,0.000009429697],"about_ca_topic_score_codex":0.014492209,"about_ca_topic_score_gemma":0.018369023,"teacher_disagreement_score":0.014492209,"about_ca_system_score_codex":0.0008530095,"about_ca_system_score_gemma":0.0004527975,"threshold_uncertainty_score":0.028815746},"labels":[],"label_agreement":null},{"id":"W2050625561","doi":"10.1080/10438590701222987","title":"ABSORPTIVE CAPACITY AND INNOVATION IN THE KNOWLEDGE INTENSIVE BUSINESS SERVICE SECTOR","year":2008,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Formality; Absorptive capacity; Business; Industrial organization; Service (business); Tertiary sector of the economy; Survey data collection; Knowledge management; Marketing","score_opus":0.07858757278764392,"score_gpt":0.2337997954767411,"score_spread":0.15521222268909718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050625561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483407,0.00031577726,0.000570937,0.00026699514,0.0000015582394,0.0000068972026,0.00011372178,0.000006912598,0.0038832787],"genre_scores_gemma":[0.9996263,0.000111325186,0.00004949414,0.000006213094,0.000004096911,0.0000032568116,0.000036751957,8.877327e-7,0.00016165142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990476,0.0003011702,0.000057569745,0.00007888235,0.00019243115,0.00032241957],"domain_scores_gemma":[0.948543,0.0349219,0.010351866,0.0009831201,0.0013764366,0.003823574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021477665,0.00018972863,0.00034045288,0.0031834443,0.0003656385,0.0016723679,0.0003642859,0.00063316285,0.00467263],"category_scores_gemma":[0.017698133,0.00016116117,0.00031748338,0.0034522025,0.0014782577,0.0017269291,0.0017816188,0.00067904254,0.00055968907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015345051,0.00021990038,0.9524509,0.00009341924,0.00009049981,0.00043445273,0.0012939383,0.013846022,0.00072417356,0.012874331,0.0003961738,0.017422857],"study_design_scores_gemma":[0.000029986144,0.00018119451,0.95263255,0.00013404846,0.00006531163,0.0005009094,0.0029322328,0.016663179,0.0007626108,0.023721134,0.0023497865,0.000027051447],"about_ca_topic_score_codex":0.0034573395,"about_ca_topic_score_gemma":0.0033424667,"teacher_disagreement_score":0.00467263,"about_ca_system_score_codex":0.0011154494,"about_ca_system_score_gemma":0.0010560241,"threshold_uncertainty_score":0.015631437},"labels":[],"label_agreement":null},{"id":"W2051038043","doi":"10.1017/jwe.2014.4","title":"The Changing Size Distribution of California's North Coast Wineries","year":2014,"lang":"en","type":"article","venue":"Journal of Wine Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Distribution (mathematics); Kernel density estimation; Econometrics; Normality; Nonparametric statistics; Market size; Empirical distribution function; Statistics; Economics; Business; Mathematics; Commerce","score_opus":0.01116006751146102,"score_gpt":0.18321617628466322,"score_spread":0.1720561087732022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051038043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947491,0.000090229616,0.00031647715,0.00010844584,0.0000052432456,0.000006795295,0.00069130573,0.000020731804,0.0040116133],"genre_scores_gemma":[0.9971475,0.00005663689,0.00019444077,0.000017850538,0.0000068605286,0.000003933779,0.0006349135,0.0000061986448,0.0019316217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996375,0.000034786026,0.0000189773,0.00012311635,0.00012402957,0.00006157042],"domain_scores_gemma":[0.9935573,0.001239627,0.0017750176,0.00045583615,0.0024036265,0.0005686384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090317783,0.00008280612,0.00018167411,0.0013251108,0.00037918915,0.0010622203,0.00044251178,0.00020814946,0.0037160232],"category_scores_gemma":[0.004716878,0.00011510601,0.00018374498,0.00076562236,0.00044491192,0.0007805322,0.00053623394,0.00028816762,0.0004907549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013141498,0.000042421703,0.97550815,0.000023114464,0.000020617566,0.00014668709,0.0008627945,0.0010496734,0.0010931243,0.0008679422,0.0026306608,0.017623413],"study_design_scores_gemma":[0.0000019660745,0.0000146721395,0.9973622,0.0000051129227,0.0000027796834,0.000028576698,0.00044974353,0.0008559261,0.00016770586,0.000108652144,0.0009979581,0.0000046800706],"about_ca_topic_score_codex":0.07208431,"about_ca_topic_score_gemma":0.10803793,"teacher_disagreement_score":0.07208431,"about_ca_system_score_codex":0.0010305096,"about_ca_system_score_gemma":0.00040566656,"threshold_uncertainty_score":0.14332944},"labels":[],"label_agreement":null},{"id":"W2053422542","doi":"10.7202/602258ar","title":"Commerce extérieur et disparitions d’entreprises industrielles","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.07755534439938347,"score_gpt":0.2607826681561119,"score_spread":0.18322732375672843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053422542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9653315,0.0011415868,0.009973839,0.00077368884,0.00001551393,0.00003590328,0.0005133497,0.00004564096,0.022168996],"genre_scores_gemma":[0.9877743,0.00064357906,0.001984666,0.000050698378,0.000015761969,0.0000313489,0.00036766697,0.000014246081,0.009117763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916697,0.00019207809,0.00005588613,0.0002237768,0.00021133124,0.00015008326],"domain_scores_gemma":[0.9934097,0.0029627073,0.0020592334,0.0005460473,0.00071059616,0.00031172996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013706642,0.0004710657,0.00047136802,0.002001075,0.00081826374,0.0036685453,0.0006435556,0.000807818,0.01165946],"category_scores_gemma":[0.004897175,0.00042400538,0.0010479596,0.0023103731,0.0016651058,0.0023199695,0.0013065446,0.0010667111,0.0009459903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030472627,0.00020603774,0.8320187,0.00031380175,0.0004427933,0.000643392,0.008006703,0.02593791,0.0031210098,0.07984663,0.0009083956,0.048249964],"study_design_scores_gemma":[0.00003018869,0.0002286626,0.90576756,0.00021394873,0.0002605645,0.00047779345,0.007183885,0.024082035,0.0012680923,0.034571458,0.025829338,0.00008648541],"about_ca_topic_score_codex":0.0428565,"about_ca_topic_score_gemma":0.04469912,"teacher_disagreement_score":0.0428565,"about_ca_system_score_codex":0.0025677616,"about_ca_system_score_gemma":0.0013270734,"threshold_uncertainty_score":0.08521414},"labels":[],"label_agreement":null},{"id":"W2054948537","doi":"10.3917/mav.042.0247","title":"Les entrepreneurs des secteurs technologiques : leur profil, leurs motivations et leurs actions","year":2011,"lang":"fr","type":"article","venue":"Management & Avenir","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.23475302290158648,"score_gpt":0.2765793905679397,"score_spread":0.0418263676663532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054948537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97940695,0.0009802048,0.0009287967,0.0017566204,0.000029555293,0.000020704234,0.000031091407,0.0000063134166,0.01683989],"genre_scores_gemma":[0.9860961,0.0010707886,0.00053443597,0.00022321353,0.00002378518,0.000018108,0.000027585975,0.000004460672,0.012001529],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99865377,0.0007050782,0.00004064497,0.000097858625,0.0002640873,0.00023858412],"domain_scores_gemma":[0.9935941,0.002783327,0.0014389917,0.00021885986,0.000599023,0.0013657821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024485956,0.00019173107,0.00018938901,0.0010082446,0.0015879045,0.003987571,0.0002094335,0.0007694733,0.004981655],"category_scores_gemma":[0.006751347,0.00022155978,0.0001996644,0.00073592056,0.0017212508,0.0012139624,0.0013402706,0.0010000927,0.0006847558],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029903997,0.00040561246,0.70781416,0.0001732707,0.000074377174,0.0023456307,0.12847254,0.000551197,0.0038965228,0.030085158,0.002939721,0.1229427],"study_design_scores_gemma":[0.000042151332,0.000362836,0.60337794,0.00055454695,0.00008188247,0.004078699,0.24136208,0.0012546155,0.002675176,0.018089972,0.12802185,0.000098144046],"about_ca_topic_score_codex":0.0021248702,"about_ca_topic_score_gemma":0.0033678159,"teacher_disagreement_score":0.004981655,"about_ca_system_score_codex":0.0007700822,"about_ca_system_score_gemma":0.0010733292,"threshold_uncertainty_score":0.01666534},"labels":[],"label_agreement":null},{"id":"W2055459527","doi":"10.1016/j.jue.2014.03.003","title":"Why are some regions more innovative than others? The role of small firms in the presence of large labs","year":2014,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Spawn (biology); Population; Small business; Economics; Marketing","score_opus":0.024440352057740877,"score_gpt":0.21461439040196362,"score_spread":0.19017403834422275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055459527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827308,0.00067113916,0.000563033,0.005093395,0.000023233253,0.000012038353,0.000075664684,0.000013028225,0.010817648],"genre_scores_gemma":[0.9991431,0.00013934083,0.000072117546,0.0002123456,0.000025333775,0.0000027465858,0.000013894597,0.0000034556947,0.00038752265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972229,0.0011867044,0.000060040595,0.00032347196,0.00029521468,0.0009116883],"domain_scores_gemma":[0.960213,0.020448338,0.009183848,0.0010093537,0.0029512213,0.0061942576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003890361,0.0001632345,0.0005133721,0.0013803822,0.0015249185,0.0046648635,0.00082914194,0.0018967567,0.0068784202],"category_scores_gemma":[0.017391685,0.00021885343,0.00044092978,0.001801611,0.0055314596,0.003934484,0.0024936087,0.0013665896,0.0007281056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008814763,0.00043712,0.8997295,0.00021355256,0.0003816694,0.0011152365,0.008862464,0.0026670077,0.0035872138,0.031325318,0.004562014,0.04623744],"study_design_scores_gemma":[0.00012462483,0.00044524018,0.9178988,0.00014544396,0.0003410407,0.0005734963,0.04439504,0.002189537,0.00173204,0.023579782,0.0084887175,0.00008617376],"about_ca_topic_score_codex":0.008907552,"about_ca_topic_score_gemma":0.01775013,"teacher_disagreement_score":0.008907552,"about_ca_system_score_codex":0.001664635,"about_ca_system_score_gemma":0.0015006235,"threshold_uncertainty_score":0.023010552},"labels":[],"label_agreement":null},{"id":"W2055797526","doi":"10.1016/j.respol.2005.08.004","title":"Competition and innovation behaviour","year":2005,"lang":"en","type":"article","venue":"Research Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":284,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Competition (biology); Product innovation; Product (mathematics); Industrial organization; Value (mathematics); Perception; Innovation management; Innovation process; Business; Embodied cognition; Economics; Marketing; Work in process; Psychology","score_opus":0.19352300237966272,"score_gpt":0.4008011513731819,"score_spread":0.20727814899351918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055797526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8652456,0.0029952943,0.0043082084,0.010795525,0.00004790453,0.00003084445,0.00021555177,0.000024388473,0.11633672],"genre_scores_gemma":[0.9951782,0.00036184734,0.00023146991,0.00022509885,0.0000337315,0.000005832097,0.000043665415,0.000005610289,0.0039145653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978733,0.0013720841,0.00007225099,0.0001615783,0.00024021957,0.0002806414],"domain_scores_gemma":[0.95979804,0.03247199,0.003033691,0.00088264566,0.0014900507,0.002323606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00392594,0.00013020901,0.00038671464,0.0012925405,0.00053863984,0.0036892726,0.00032544264,0.0022524795,0.011144403],"category_scores_gemma":[0.019751102,0.0001560142,0.00030695982,0.0013826902,0.001581025,0.0020160913,0.0006949738,0.0012215838,0.0011311172],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092913286,0.0012834101,0.2883916,0.00028193896,0.0003807895,0.00053842337,0.0033124324,0.012553203,0.0029830022,0.62020373,0.006906096,0.06223633],"study_design_scores_gemma":[0.00015724082,0.00036428793,0.35205787,0.00017015233,0.00018088215,0.0006858376,0.0043032947,0.025912995,0.0010279893,0.58977133,0.02529507,0.0000731327],"about_ca_topic_score_codex":0.002462262,"about_ca_topic_score_gemma":0.002914518,"teacher_disagreement_score":0.011144403,"about_ca_system_score_codex":0.0017382726,"about_ca_system_score_gemma":0.0007641442,"threshold_uncertainty_score":0.03728175},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2056811888","doi":"10.4067/s0718-27242011000300009","title":"Innovation Trends in NAFTA Countries: an Econometric Analysis of Patent Applications","year":2011,"lang":"en","type":"article","venue":"Journal of technology management & innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; TRIPS architecture; International trade; TRIPS Agreement; Econometric analysis; Legislation; Developing country; Business; World trade; Free trade agreement; Economics; International economics; Political science; Free trade; Economic growth; Law; Engineering; Econometrics","score_opus":0.07684209864584857,"score_gpt":0.25845724630902106,"score_spread":0.1816151476631725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056811888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995908,0.00071780075,0.0004606118,0.00022019874,0.000011545038,0.000013943531,0.0010602946,0.000012875676,0.0015946374],"genre_scores_gemma":[0.99496955,0.0007592083,0.00031982842,0.000029042762,0.00004304671,0.000027874217,0.002889828,0.000003987133,0.000957651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988545,0.00038323464,0.00012771545,0.00020065691,0.00024259352,0.00019127087],"domain_scores_gemma":[0.9845381,0.009862361,0.004037654,0.00030797118,0.0009791766,0.00027481982],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0030949633,0.00022126043,0.00057757925,0.004362405,0.00044365175,0.0016257038,0.0003732663,0.0006481076,0.0014399312],"category_scores_gemma":[0.0133238565,0.00016369538,0.0009795597,0.005784945,0.00033129222,0.0009332573,0.00045807988,0.0007321946,0.0003341696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015791813,0.00013311605,0.9715019,0.00005375426,0.00036898494,0.0003287689,0.0005860844,0.0072468496,0.00029214722,0.0009587193,0.0011203007,0.017251445],"study_design_scores_gemma":[0.000014587653,0.00012170595,0.9778426,0.00003325815,0.00018329792,0.00013501267,0.0010995342,0.016368676,0.00024692237,0.00025419774,0.0036833454,0.000016762928],"about_ca_topic_score_codex":0.04901369,"about_ca_topic_score_gemma":0.025511807,"teacher_disagreement_score":0.9956376,"about_ca_system_score_codex":0.0012338196,"about_ca_system_score_gemma":0.0008167867,"threshold_uncertainty_score":0.09745675},"labels":[],"label_agreement":null},{"id":"W2058100409","doi":"10.1098/rsif.2015.0120","title":"The mortality of companies","year":2015,"lang":"en","type":"article","venue":"Journal of The Royal Society Interface","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Santa Fe Institute; Eugene V. and Claire E. Thaw Charitable Trust; John Templeton Foundation; National Science Foundation","keywords":"Character (mathematics); Hazard; Mortality rate; Business; Unit (ring theory); Economics; Actuarial science; Biology; Demography; Ecology; Mathematics; Sociology","score_opus":0.06396601758778203,"score_gpt":0.26776271564130316,"score_spread":0.20379669805352113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058100409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864005,0.0016723297,0.0026631856,0.00045772348,0.000016965005,0.000012570032,0.0048613437,0.000027831771,0.003887532],"genre_scores_gemma":[0.99570036,0.00076880027,0.00020563048,0.000034624576,0.000021113325,0.000007967003,0.002119101,0.0000024775188,0.0011400162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996332,0.00007251839,0.000038175236,0.000102159705,0.00008389135,0.00007004387],"domain_scores_gemma":[0.9952284,0.0012319827,0.0026417742,0.00034102693,0.00031939827,0.00023745127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055260083,0.00008575211,0.00016090198,0.0012073001,0.0002678513,0.0006669594,0.00022424568,0.00024913726,0.0020659706],"category_scores_gemma":[0.0060755233,0.00008566017,0.00017761858,0.0011381117,0.000431446,0.0007220773,0.00061828364,0.00032582297,0.00026533095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007076413,0.000022500988,0.92571956,0.00009283557,0.00009741265,0.00029803155,0.0009375229,0.004135275,0.00089404045,0.012229628,0.004018088,0.051484138],"study_design_scores_gemma":[0.000002752941,0.000052239477,0.98109275,0.000053500233,0.000024212402,0.0005426622,0.0005287678,0.0026487517,0.0006014866,0.0061898865,0.008243873,0.000019154702],"about_ca_topic_score_codex":0.0059462986,"about_ca_topic_score_gemma":0.0059548137,"teacher_disagreement_score":0.0059462986,"about_ca_system_score_codex":0.0006072434,"about_ca_system_score_gemma":0.00028174056,"threshold_uncertainty_score":0.011823416},"labels":[],"label_agreement":null},{"id":"W2059431757","doi":"10.1016/j.jhealeco.2011.05.007","title":"Opportunities and benefits as determinants of the direction of scientific research","year":2011,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging","keywords":"Productivity; Medical research; Quality (philosophy); Work (physics); Private sector; Business; Management science; Economics; Public relations; Political science; Medicine; Engineering; Economic growth","score_opus":0.41999462465370435,"score_gpt":0.341126352644643,"score_spread":0.07886827200906132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059431757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96333826,0.0023498451,0.0032126524,0.008171683,0.00010700036,0.000057507197,0.00038015988,0.000045500048,0.022337316],"genre_scores_gemma":[0.99885154,0.00024721102,0.00028432003,0.00007239835,0.00008828941,0.0000068559916,0.00004017162,0.0000065861095,0.00040271046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99194545,0.004177044,0.00074533594,0.00042584966,0.0014938746,0.0012124353],"domain_scores_gemma":[0.6574709,0.25154027,0.047625866,0.0062973434,0.01014052,0.026925122],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015373141,0.00022930767,0.00054206426,0.0038538093,0.0009315259,0.005890786,0.0005838547,0.0021869715,0.0061424477],"category_scores_gemma":[0.1168473,0.00044479847,0.00057630433,0.0019668646,0.0038925204,0.0042850818,0.0028268073,0.0029130063,0.0005873456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017962827,0.0005502845,0.93246657,0.00015570798,0.000320491,0.00041662942,0.00056936394,0.002407994,0.00094670535,0.0347373,0.0012195068,0.024413085],"study_design_scores_gemma":[0.0003773988,0.0007153392,0.8451472,0.00015991963,0.00054778246,0.0006917893,0.0019095751,0.01064274,0.0015722776,0.13338354,0.0047522276,0.000100201105],"about_ca_topic_score_codex":0.0012641101,"about_ca_topic_score_gemma":0.0032634295,"teacher_disagreement_score":0.9846269,"about_ca_system_score_codex":0.0010896792,"about_ca_system_score_gemma":0.001823387,"threshold_uncertainty_score":0.08130193},"labels":[],"label_agreement":null},{"id":"W2059656321","doi":"10.7202/1008701ar","title":"Les entreprises à forte croissance et leur contribution à l’emploi : le cas de la Suède 1987-1996","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.028658285291682267,"score_gpt":0.27050246115693705,"score_spread":0.24184417586525478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059656321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925523,0.000985739,0.000119471995,0.00047324065,0.000013462716,0.000008009058,0.00025033942,0.0000019384784,0.005595558],"genre_scores_gemma":[0.98264885,0.0021409409,0.00022455842,0.00009357846,0.000030134657,0.000029862389,0.0004699203,0.0000060136053,0.014356041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990043,0.00017121705,0.000038172333,0.00012882793,0.00021756568,0.00043990277],"domain_scores_gemma":[0.99609214,0.0011303902,0.0014297883,0.00014959616,0.0004805045,0.00071746565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020214461,0.00026139186,0.00035388148,0.001579109,0.0014622262,0.00274056,0.0005834108,0.0006270112,0.007136133],"category_scores_gemma":[0.0041715177,0.00025989563,0.00021523245,0.0027755944,0.0007237424,0.0015254559,0.0022016377,0.0011729543,0.0010294263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025988897,0.00017289238,0.8455703,0.00015926591,0.00005605745,0.0012206399,0.061718978,0.00031516582,0.0008722206,0.006158108,0.0029773423,0.080519184],"study_design_scores_gemma":[0.000005700534,0.00007711583,0.94060946,0.0001223995,0.000018292123,0.00018722632,0.03711507,0.00015375971,0.00024348663,0.00032751577,0.021130944,0.0000092088985],"about_ca_topic_score_codex":0.045659848,"about_ca_topic_score_gemma":0.10720894,"teacher_disagreement_score":0.045659848,"about_ca_system_score_codex":0.0019909297,"about_ca_system_score_gemma":0.0027427333,"threshold_uncertainty_score":0.090788126},"labels":[],"label_agreement":null},{"id":"W2061992477","doi":"10.7202/1007876ar","title":"Petites et moyennes entreprises (PME), facteur de renouveau du tissu industriel en Belgique?","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.021174010861147893,"score_gpt":0.2432006665023927,"score_spread":0.2220266556412448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061992477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97953767,0.008791759,0.0006885794,0.0013806969,0.000031984146,0.0000063415364,0.00043013992,0.0000078165085,0.009124823],"genre_scores_gemma":[0.99117553,0.002669196,0.00043033017,0.00010723509,0.000022037579,0.000004588759,0.00023096187,0.0000057293505,0.005354348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993451,0.00016324324,0.00001641685,0.00010714097,0.0001405957,0.00022751417],"domain_scores_gemma":[0.9983582,0.00036593896,0.0007952953,0.000047571502,0.00022439587,0.00020873592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009476557,0.00023762937,0.00027045156,0.0012591011,0.0009581543,0.0017500344,0.00031747823,0.0003707176,0.0035133024],"category_scores_gemma":[0.0017241562,0.00015560622,0.00025771803,0.0022799412,0.0011189486,0.00086919434,0.00054122147,0.0004749876,0.00041628728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024035962,0.00008095146,0.89629734,0.00029231224,0.00015741505,0.00053273526,0.015836421,0.0008194824,0.0018024349,0.009714366,0.0029033425,0.07132284],"study_design_scores_gemma":[0.0000024609005,0.000036463123,0.9733744,0.00008405419,0.000026588601,0.00010866502,0.0077713844,0.00017553734,0.00022471274,0.00029824532,0.017888367,0.000009150893],"about_ca_topic_score_codex":0.28391793,"about_ca_topic_score_gemma":0.4556045,"teacher_disagreement_score":0.28391793,"about_ca_system_score_codex":0.0034809422,"about_ca_system_score_gemma":0.0024983578,"threshold_uncertainty_score":0.56453073},"labels":[],"label_agreement":null},{"id":"W2062128811","doi":"10.1002/1099-1255(200007/08)15:4<417::aid-jae562>3.0.co;2-3","title":"The cost and technological structure of aluminium smelters worldwide","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Vintage; Smelting; Returns to scale; Economics; Econometrics; Variable cost; Technological change; Production (economics); Technical change; Variable (mathematics); Scale (ratio); Aluminium; Aluminium smelting; Sample (material); Mathematics; Microeconomics; Metallurgy; Macroeconomics; Productivity; Geography; Materials science","score_opus":0.020346787804980535,"score_gpt":0.20173742757604968,"score_spread":0.18139063977106915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062128811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88923603,0.0006137261,0.09504533,0.0007654534,0.000021436264,0.00020358538,0.002886483,0.00022308488,0.011004882],"genre_scores_gemma":[0.98251545,0.00036404293,0.0077847494,0.000020026524,0.0000135264545,0.00011658503,0.0016977524,0.000027882461,0.0074599762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995028,0.000121201454,0.00003200854,0.00012523618,0.00011784782,0.00010084856],"domain_scores_gemma":[0.99728787,0.0014368553,0.00083398964,0.00016253427,0.00015797338,0.00012071624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810034,0.00067669264,0.0006098243,0.0019247202,0.00035796608,0.0027267195,0.0016326724,0.0016900572,0.006674661],"category_scores_gemma":[0.005520697,0.00080846256,0.0012709863,0.0022887767,0.0007110511,0.003310855,0.0009116976,0.0011021569,0.0009358472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008637884,0.000083693616,0.022946786,0.00003743999,0.000061441024,0.00018810674,0.0000440275,0.94400483,0.00073405594,0.019559601,0.000505457,0.011748132],"study_design_scores_gemma":[0.00004484025,0.00011341494,0.020505624,0.000020335596,0.00005456837,0.0001232495,0.00008868621,0.9604268,0.00091832085,0.015710762,0.0019491542,0.00004420936],"about_ca_topic_score_codex":0.013500106,"about_ca_topic_score_gemma":0.008614839,"teacher_disagreement_score":0.013500106,"about_ca_system_score_codex":0.003648919,"about_ca_system_score_gemma":0.0008401125,"threshold_uncertainty_score":0.026843011},"labels":[],"label_agreement":null},{"id":"W2063410708","doi":"10.1108/08858620210442811","title":"Market orientation in Ivory Coast: measurement validity and organizational antecedents in a sub‐Saharan African economy","year":2002,"lang":"en","type":"article","venue":"Journal of Business and Industrial Marketing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market orientation; Transferability; Extant taxon; Orientation (vector space); Business; Marketing; Economics; Economic growth","score_opus":0.08831707493058126,"score_gpt":0.21381098945987134,"score_spread":0.1254939145292901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063410708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984315,0.00013769261,0.000041183328,0.000052092488,0.000003244334,0.000011977114,0.000031095464,5.771086e-7,0.0012906365],"genre_scores_gemma":[0.9993868,0.00021169831,0.00015044291,0.000016277145,0.0000029049531,0.000017138349,0.000040444116,6.599258e-7,0.00017368863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996402,0.00014274011,0.000028867931,0.000036225974,0.00004757017,0.000104422834],"domain_scores_gemma":[0.9980526,0.0006172676,0.0008881998,0.00007015897,0.00018176794,0.00019003684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011302237,0.00023488622,0.00022217623,0.001580511,0.0009430926,0.0012713881,0.00023588423,0.000193755,0.0013878477],"category_scores_gemma":[0.003083267,0.00016558266,0.0001431558,0.0021361632,0.0009886586,0.0006396869,0.0011204494,0.00038417525,0.00013180863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057594763,0.00011457583,0.97207,0.00006940063,0.000033165234,0.00030246677,0.008076996,0.000115307084,0.00062315754,0.001215471,0.00022088185,0.017100908],"study_design_scores_gemma":[0.000005067607,0.000036636455,0.98487246,0.00006606863,0.000012387933,0.000055608307,0.013483188,0.00019055647,0.00013141321,0.00018950083,0.0009537179,0.0000035109385],"about_ca_topic_score_codex":0.021321587,"about_ca_topic_score_gemma":0.025945196,"teacher_disagreement_score":0.021321587,"about_ca_system_score_codex":0.0008180739,"about_ca_system_score_gemma":0.00097004627,"threshold_uncertainty_score":0.042394996},"labels":[],"label_agreement":null},{"id":"W2063680733","doi":"10.5513/jcea.v12i1.945","title":"Regulating the Employment of People with Disabilities – Does the strict quota system bring real results?","year":2011,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Rehabilitation; Business; Order (exchange); Labour economics; Disabled people; Demographic economics; Economics; Finance; Psychology; Medicine; Physical therapy; Geography; Life style; Applied psychology","score_opus":0.020270813191203933,"score_gpt":0.15536912888128887,"score_spread":0.13509831569008493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063680733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3313204,0.02292574,0.016133212,0.32129005,0.0034711182,0.00023030267,0.00093010854,0.00017986237,0.30351925],"genre_scores_gemma":[0.9715058,0.0029469016,0.0025840688,0.013993158,0.00040959334,0.00013686791,0.00013513333,0.00002365171,0.008264889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98094237,0.009037445,0.0010024535,0.0011548655,0.0045555877,0.003307245],"domain_scores_gemma":[0.97933674,0.011489337,0.00359298,0.0016959942,0.0030983514,0.0007866185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015212426,0.000318356,0.0006334604,0.0013457823,0.002068276,0.006681705,0.0012671557,0.0033760122,0.0072818426],"category_scores_gemma":[0.042303044,0.00026083345,0.0006000509,0.0019488605,0.0048589413,0.007122002,0.0029039048,0.002208538,0.0015895346],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002557668,0.0004866365,0.053110994,0.0010880906,0.00012048845,0.00041202782,0.015410438,0.0020676036,0.0026506472,0.6879868,0.04685791,0.18955255],"study_design_scores_gemma":[0.00017591137,0.00065574836,0.15527953,0.003912196,0.00013652464,0.00047358547,0.027968638,0.002434113,0.0035172496,0.3054742,0.49972114,0.00025111777],"about_ca_topic_score_codex":0.020691797,"about_ca_topic_score_gemma":0.016695276,"teacher_disagreement_score":0.020691797,"about_ca_system_score_codex":0.0050847195,"about_ca_system_score_gemma":0.0066133467,"threshold_uncertainty_score":0.080451965},"labels":[],"label_agreement":null},{"id":"W2064095753","doi":"10.1016/j.red.2014.10.001","title":"Financial frictions, internal capital markets, and the organization of production","year":2014,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Stylized fact; Economics; Capital market; Imperfect; Production (economics); Monetary economics; Capital (architecture); Physical capital; Productivity; Financial capital; Per capita; Business cycle; Financial market; Macroeconomics; Finance; Market economy; Human capital","score_opus":0.00578560913640457,"score_gpt":0.1900256212449684,"score_spread":0.18424001210856383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064095753","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07236994,0.8183164,0.03211236,0.0265642,0.0005989434,0.000026140946,0.00022849721,0.000079603546,0.049703956],"genre_scores_gemma":[0.54318887,0.44553447,0.0036703763,0.0007527902,0.0019078051,0.000025240925,0.00014005369,0.000017936276,0.0047624744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925834,0.00025333013,0.000040451912,0.00013084526,0.00019290415,0.00012409643],"domain_scores_gemma":[0.9954182,0.0028761555,0.0009615603,0.00020022744,0.00035810826,0.00018576118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017688223,0.00046552712,0.0009090101,0.0016182769,0.00046890564,0.0041069034,0.00076214824,0.0016240629,0.0019772933],"category_scores_gemma":[0.006034446,0.0003547893,0.00034234126,0.0043682763,0.003923675,0.0041974136,0.000718701,0.0017562406,0.00036736813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000586236,0.00011601662,0.006877735,0.00091706315,0.00010103972,0.00011016461,0.00023234203,0.029665409,0.00064881897,0.7783613,0.010602848,0.17230867],"study_design_scores_gemma":[0.000028709746,0.00004895803,0.013633692,0.000775992,0.000051841227,0.00014857428,0.0003547773,0.010139716,0.00029071767,0.9104358,0.06404954,0.000041762123],"about_ca_topic_score_codex":0.0035866806,"about_ca_topic_score_gemma":0.0032017496,"teacher_disagreement_score":0.0041069034,"about_ca_system_score_codex":0.0024632143,"about_ca_system_score_gemma":0.0022852914,"threshold_uncertainty_score":0.017872036},"labels":[],"label_agreement":null},{"id":"W2064976150","doi":"10.7202/1007987ar","title":"Un diagnostic de pré-démarrage pour les PME et PE","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.022933709997159428,"score_gpt":0.24412732471845666,"score_spread":0.22119361472129723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064976150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72787195,0.0037490756,0.21761228,0.0026100967,0.0004650407,0.0008238831,0.0049800416,0.0014216674,0.04046592],"genre_scores_gemma":[0.9107359,0.00073667377,0.077458195,0.00016006378,0.00007322735,0.00027412284,0.0016002876,0.0001394144,0.008822154],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970118,0.0008250466,0.00023379296,0.0005314024,0.0010188699,0.00037900457],"domain_scores_gemma":[0.98162043,0.008362995,0.0029920887,0.0014566694,0.0047864174,0.0007814517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004841022,0.0009535013,0.0008976339,0.005438078,0.001219899,0.003585125,0.0015651083,0.0015278886,0.01053671],"category_scores_gemma":[0.02732689,0.00046020807,0.00074437715,0.0034549893,0.0011290626,0.002742192,0.0018530445,0.001634626,0.00209017],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013687636,0.0003565604,0.61425346,0.00078278134,0.00025633094,0.0010238064,0.0039170193,0.0061937687,0.0144985225,0.012416817,0.006955552,0.3379766],"study_design_scores_gemma":[0.00009295722,0.0008757296,0.85203654,0.00079365895,0.00032986538,0.0017171726,0.008716182,0.04793154,0.024860576,0.018957984,0.043411087,0.0002767153],"about_ca_topic_score_codex":0.02912588,"about_ca_topic_score_gemma":0.046707842,"teacher_disagreement_score":0.02912588,"about_ca_system_score_codex":0.0015685315,"about_ca_system_score_gemma":0.0023280804,"threshold_uncertainty_score":0.057912648},"labels":[],"label_agreement":null},{"id":"W2067576317","doi":"10.1017/s0007680513000135","title":"Selling Ideas: An International Perspective on Patenting and Markets for Technological Innovations, 1790–1930","year":2013,"lang":"en","type":"article","venue":"The Business History Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Intellectual property; Position (finance); Industrial Revolution; International trade; Perspective (graphical); Panel data; Property rights; Business; International economics; Economics; Political science; Market economy; Law; Finance","score_opus":0.07494676021913481,"score_gpt":0.2564089630910311,"score_spread":0.1814622028718963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067576317","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1921492,0.34505883,0.004690538,0.014612511,0.00027786306,0.000032866734,0.0005440928,0.00001938174,0.44261464],"genre_scores_gemma":[0.8210137,0.15734197,0.0021316381,0.00095582503,0.0007647522,0.000044071134,0.00032538737,0.000016780066,0.01740597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995479,0.0001525354,0.000026891636,0.00007345692,0.000082928185,0.00011621592],"domain_scores_gemma":[0.9986351,0.00077802106,0.00033072973,0.000059471287,0.00012605498,0.000070603164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013123064,0.00028061573,0.0003411137,0.005993846,0.0009997288,0.0034334182,0.0003872302,0.00095555803,0.0030798845],"category_scores_gemma":[0.0028557885,0.00013101955,0.00037072395,0.008242402,0.0031756687,0.0039686887,0.0007082678,0.0011292805,0.00027731934],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004899533,0.00005981843,0.0109754065,0.00016806807,0.00003136706,0.00037321862,0.0040417584,0.00159413,0.00025514438,0.9149258,0.003910697,0.06361561],"study_design_scores_gemma":[0.000032652395,0.00014531043,0.1231291,0.0012185,0.00006590664,0.0007552358,0.0055080405,0.0016335301,0.00073455105,0.40015936,0.46656975,0.000048020727],"about_ca_topic_score_codex":0.009088502,"about_ca_topic_score_gemma":0.009712168,"teacher_disagreement_score":0.009088502,"about_ca_system_score_codex":0.002742282,"about_ca_system_score_gemma":0.0013185863,"threshold_uncertainty_score":0.019896686},"labels":[],"label_agreement":null},{"id":"W2069211135","doi":"10.1108/14626001211277451","title":"Barriers to small business growth in Canada","year":2012,"lang":"en","type":"article","venue":"Journal of Small Business and Enterprise Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Small business; Marketing; Originality; Test (biology); Exploratory research; Null hypothesis; Feeling; Value (mathematics); Business; Set (abstract data type); Economics; Psychology; Sociology; Social psychology","score_opus":0.020678115660987692,"score_gpt":0.180665661557504,"score_spread":0.15998754589651631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069211135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97420985,0.0008554983,0.00028755746,0.0030772851,0.000019486162,0.00006352848,0.000658207,0.000022377073,0.020806184],"genre_scores_gemma":[0.99624205,0.0006057733,0.00017752548,0.0001453546,0.000002610528,0.00001520578,0.00019844894,0.000004515077,0.0026084865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971819,0.00021976454,0.000076840035,0.00015437731,0.00131203,0.0010551978],"domain_scores_gemma":[0.9856852,0.0020302932,0.0017625517,0.000235498,0.005675294,0.004611168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015242065,0.00021812454,0.0003329104,0.0016562452,0.007190226,0.0030313479,0.00079615205,0.00029117402,0.0037800018],"category_scores_gemma":[0.008174647,0.00016627803,0.00024881086,0.0028286602,0.0020197511,0.0007051448,0.001815593,0.00081950246,0.00015447057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020436237,0.0001501964,0.86550814,0.00035360156,0.000047527887,0.0010547142,0.028216705,0.0011931219,0.0012401844,0.015006735,0.009652628,0.0773721],"study_design_scores_gemma":[0.000010390574,0.000055539003,0.9069622,0.0002846238,0.000024823115,0.00016680089,0.058201052,0.0012694997,0.00055667997,0.0009920208,0.031422634,0.000053737363],"about_ca_topic_score_codex":0.9915131,"about_ca_topic_score_gemma":0.9947082,"teacher_disagreement_score":0.04748968,"about_ca_system_score_codex":0.04748968,"about_ca_system_score_gemma":0.11435002,"threshold_uncertainty_score":0.34456336},"labels":[],"label_agreement":null},{"id":"W2070629477","doi":"10.1016/j.lrp.2013.06.004","title":"How Late Should Johnny-Come-Lately Come?","year":2013,"lang":"en","type":"article","venue":"Long Range Planning","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta","keywords":"Asset (computer security); Business; Microeconomics; Economics; Industrial organization; Marketing; Computer science; Computer security","score_opus":0.07889715573070939,"score_gpt":0.24481442903104605,"score_spread":0.16591727330033668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070629477","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16213226,0.00874154,0.0062833466,0.50851136,0.019800203,0.00009211234,0.00073956244,0.00038353013,0.2933161],"genre_scores_gemma":[0.75266635,0.0027980977,0.0030683225,0.07578222,0.0026343225,0.00006328826,0.00038553507,0.00054060185,0.16206123],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766916,0.00047960985,0.00006985867,0.0004013752,0.0006188872,0.0007610969],"domain_scores_gemma":[0.98776555,0.0021664395,0.0010977056,0.00060615735,0.0026597544,0.005704369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004817661,0.00027839647,0.00052025093,0.0007266295,0.0061487565,0.008541814,0.0009976598,0.0037044536,0.029052462],"category_scores_gemma":[0.030427212,0.00033628353,0.0004299427,0.0009633927,0.0030092273,0.008209398,0.0023693712,0.008666799,0.006225551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059822487,0.00043786268,0.05341916,0.00023377677,0.00010840735,0.0019519923,0.0070329914,0.00054398854,0.0010940352,0.3501777,0.3891705,0.19523136],"study_design_scores_gemma":[0.000050622675,0.0002075799,0.04378709,0.0005269257,0.000060492843,0.0008642471,0.02270656,0.00072050444,0.0024956763,0.14128186,0.78713727,0.00016111575],"about_ca_topic_score_codex":0.022490267,"about_ca_topic_score_gemma":0.053662714,"teacher_disagreement_score":0.029052462,"about_ca_system_score_codex":0.0048662303,"about_ca_system_score_gemma":0.005687452,"threshold_uncertainty_score":0.0971902},"labels":[],"label_agreement":null},{"id":"W2071983629","doi":"10.1002/smj.408","title":"Product variety and firm survival in the microcomputer software industry","year":2004,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alfred P. Sloan Foundation","keywords":"Scope (computer science); Variety (cybernetics); Economies of scope; Product (mathematics); Industrial organization; New product development; Business; Software; Consumption (sociology); Marketing; Economics; Computer science; Economies of scale","score_opus":0.044742381507598836,"score_gpt":0.22920968660150365,"score_spread":0.1844673050939048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071983629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713624,0.00043733726,0.00028828223,0.00008737812,0.0000018016291,0.00000823415,0.00016525443,0.000008102512,0.0018673601],"genre_scores_gemma":[0.99939656,0.00007344951,0.00006227227,0.000005235039,0.000004029588,0.000003766244,0.00015474836,0.0000011337146,0.00029869316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992428,0.00019116064,0.000049028375,0.00014880778,0.00017630271,0.00019191431],"domain_scores_gemma":[0.96745336,0.017389141,0.0096689705,0.0010694436,0.0016466533,0.0027723736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017833699,0.00025710667,0.00047013306,0.0034135086,0.0005563168,0.0015996607,0.00036995483,0.00051322434,0.0045837355],"category_scores_gemma":[0.011623798,0.00015987823,0.00039124186,0.0022356587,0.0010933762,0.001739164,0.0015872869,0.00077549776,0.00045845032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000403935,0.00015829127,0.9642668,0.000051164752,0.00014271309,0.00029043588,0.0005101388,0.011985492,0.0007187308,0.0028527463,0.0004924661,0.018127086],"study_design_scores_gemma":[0.000028765486,0.00030564668,0.9846578,0.000027362545,0.000047108784,0.00016019667,0.00085209124,0.009085125,0.00052292994,0.0031704837,0.0011183792,0.000024122617],"about_ca_topic_score_codex":0.0038008727,"about_ca_topic_score_gemma":0.003620913,"teacher_disagreement_score":0.0045837355,"about_ca_system_score_codex":0.0009173794,"about_ca_system_score_gemma":0.0003200129,"threshold_uncertainty_score":0.015334129},"labels":[],"label_agreement":null},{"id":"W2072027394","doi":"10.2139/ssrn.879284","title":"Age Effects, Leverage and Firm Growth","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Government of Canada; Bank of Canada","funders":"","keywords":"Leverage (statistics); Business; Monetary economics; Economics","score_opus":0.00942653465884374,"score_gpt":0.19793451960181008,"score_spread":0.18850798494296633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072027394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902344,0.0036480639,0.0005923561,0.0007539417,0.00003273315,0.0000070973465,0.00047336138,0.000018275892,0.00423978],"genre_scores_gemma":[0.9968483,0.0007164091,0.000047878584,0.000040359893,0.00006496272,0.0000023695502,0.00014511582,0.0000037788466,0.0021308402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996822,0.00010149774,0.000029184215,0.00004492614,0.00004133303,0.00010082118],"domain_scores_gemma":[0.9816348,0.010271429,0.00500135,0.00061016885,0.000345496,0.0021369027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017038374,0.00028006834,0.00033387603,0.0009769491,0.00028288102,0.0014973241,0.00027137756,0.0011574003,0.010452896],"category_scores_gemma":[0.008132702,0.00015488057,0.00048112433,0.0011801786,0.0005473634,0.001689154,0.0007865611,0.0010594305,0.0009649838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005166449,0.00020104258,0.979513,0.000033299046,0.00018011461,0.0005087835,0.00022854334,0.0015344685,0.0004594837,0.0027112942,0.00082684745,0.013286509],"study_design_scores_gemma":[0.000029083507,0.00028296208,0.9885627,0.000034061035,0.00023957014,0.00036260224,0.00035646997,0.002438352,0.0003526605,0.0056915306,0.0016330918,0.000016901926],"about_ca_topic_score_codex":0.0039463025,"about_ca_topic_score_gemma":0.0065372954,"teacher_disagreement_score":0.010452896,"about_ca_system_score_codex":0.00026679234,"about_ca_system_score_gemma":0.00032368078,"threshold_uncertainty_score":0.034968436},"labels":[],"label_agreement":null},{"id":"W2072846797","doi":"10.5539/ibr.v3n1p104","title":"Research on Textile Enterprises to Broaden the Financing Channels","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Business; Textile industry; Textile; Core competency; Industrial organization; Finance; Capital (architecture); Competence (human resources); Commerce; Economics; Marketing; Management","score_opus":0.17611488792448854,"score_gpt":0.3992288563373699,"score_spread":0.22311396841288134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072846797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54452986,0.014308935,0.023695435,0.04279185,0.00024257484,0.0003587084,0.00018215204,0.00010182084,0.3737886],"genre_scores_gemma":[0.977017,0.004554817,0.0020969561,0.0016732172,0.00017030686,0.00008567226,0.000067530906,0.000010372511,0.014324286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99739826,0.001047467,0.00008964285,0.00022630584,0.00031198206,0.00092630845],"domain_scores_gemma":[0.98244435,0.010861771,0.002663478,0.0008508125,0.00185231,0.0013272391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004755897,0.0002730812,0.0003958183,0.0016895424,0.0011954881,0.004336866,0.0006661907,0.002073198,0.011509977],"category_scores_gemma":[0.015969925,0.00023583994,0.00054742553,0.0019119368,0.0016863308,0.0077351066,0.0018778588,0.00251599,0.0005571491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028574112,0.00062240945,0.032690417,0.0006095136,0.000057147237,0.0006430714,0.0020511062,0.006239705,0.0017400456,0.8403908,0.011136017,0.10353394],"study_design_scores_gemma":[0.00058832153,0.0008287076,0.101712,0.0030904645,0.00033898486,0.0010840307,0.011482282,0.023794733,0.009544117,0.5410843,0.3063298,0.00012221331],"about_ca_topic_score_codex":0.0027695484,"about_ca_topic_score_gemma":0.0024450598,"teacher_disagreement_score":0.011509977,"about_ca_system_score_codex":0.0038193804,"about_ca_system_score_gemma":0.003861799,"threshold_uncertainty_score":0.03850472},"labels":[],"label_agreement":null},{"id":"W2073212410","doi":"10.1111/j.1756-2171.2008.00003.x","title":"Industry dynamics with stochastic demand","year":2008,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Productivity; Aggregate demand; Microeconomics; Supply and demand; Demand shock; Welfare; Aggregate (composite); Demand management; Distribution (mathematics); Realization (probability); Industrial organization; Econometrics; Monetary economics; Macroeconomics; Market economy","score_opus":0.03287581967217207,"score_gpt":0.19027241991833993,"score_spread":0.15739660024616786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073212410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7812193,0.0006785528,0.18252473,0.0052196933,0.00007689827,0.00006419701,0.0012838816,0.00022704797,0.028705552],"genre_scores_gemma":[0.9859217,0.00052268425,0.002975339,0.00017452118,0.00005026564,0.000050185652,0.0002783144,0.000020476016,0.010006541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947995,0.000159978,0.000019117526,0.00010453611,0.00008896341,0.00014750125],"domain_scores_gemma":[0.99719244,0.0012967247,0.00081697386,0.00018149737,0.00024447002,0.000267839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000779313,0.0003806427,0.0007263951,0.000680459,0.00051709596,0.0015132827,0.00071273936,0.0019580836,0.005456924],"category_scores_gemma":[0.0054376223,0.0004375444,0.00067263615,0.00073226326,0.0008606205,0.0020033382,0.0013680297,0.0013400652,0.0005865887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095990945,0.00009805012,0.008921361,0.0000610683,0.000078127945,0.00065929675,0.0002758712,0.7028088,0.002446272,0.27475986,0.0026988264,0.0070963767],"study_design_scores_gemma":[0.00004481057,0.000063954525,0.0030525217,0.000013255344,0.000019244706,0.00015687228,0.00017093406,0.8814858,0.00024506036,0.11253279,0.0021820455,0.000032652224],"about_ca_topic_score_codex":0.010721762,"about_ca_topic_score_gemma":0.006608894,"teacher_disagreement_score":0.010721762,"about_ca_system_score_codex":0.0010778378,"about_ca_system_score_gemma":0.00060246437,"threshold_uncertainty_score":0.021318734},"labels":[],"label_agreement":null},{"id":"W2074425817","doi":"10.1016/s0048-7333(99)00119-5","title":"Design and policy choices for technology extension organizations","year":2001,"lang":"en","type":"article","venue":"Research Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Extension (predicate logic); Marketing; Face (sociological concept); Knowledge management; Computer science; Sociology","score_opus":0.16604100310210032,"score_gpt":0.3983688074756935,"score_spread":0.23232780437359316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074425817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4145884,0.0019677915,0.22031641,0.07563062,0.00044923698,0.0023162956,0.0007374375,0.00071791187,0.28327596],"genre_scores_gemma":[0.94417024,0.00042691082,0.03645632,0.0022535303,0.00014808534,0.0007027134,0.00009319499,0.00007519443,0.015673796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9773027,0.015993543,0.0006711712,0.0013855797,0.0013848161,0.0032622514],"domain_scores_gemma":[0.9561346,0.028838912,0.0035415324,0.0034213057,0.0036709888,0.0043927375],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.023124482,0.00047508176,0.0007186476,0.0019447189,0.002694951,0.012087687,0.0015254914,0.0070115435,0.02080472],"category_scores_gemma":[0.051613692,0.000993474,0.0008050059,0.001332826,0.0027687107,0.008273643,0.0025327792,0.0030217022,0.0021988878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064270286,0.0008490173,0.010728951,0.00027204072,0.000076243734,0.00029813714,0.0016365931,0.043303516,0.0021810662,0.86759853,0.010922687,0.061490454],"study_design_scores_gemma":[0.000524626,0.0005315517,0.0054076603,0.0003240522,0.00012791342,0.00017206557,0.0050226795,0.052765206,0.003259539,0.8782487,0.053528912,0.00008725416],"about_ca_topic_score_codex":0.0013833651,"about_ca_topic_score_gemma":0.003068811,"teacher_disagreement_score":0.99730504,"about_ca_system_score_codex":0.0065213656,"about_ca_system_score_gemma":0.007754565,"threshold_uncertainty_score":0.12229544},"labels":[],"label_agreement":null},{"id":"W2074710324","doi":"10.7202/050083ar","title":"The Cyclical Variation of Wage Premiums in the Canadian Manufacturing Industries","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Wage; Manufacturing; Economics; Labour economics; Business","score_opus":0.033186177256464146,"score_gpt":0.21505426192019514,"score_spread":0.181868084663731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074710324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98545676,0.0020354092,0.0003587917,0.0020314734,0.00002789614,0.000020493862,0.0035448822,0.00003914156,0.0064851446],"genre_scores_gemma":[0.99714917,0.0005720956,0.00011895166,0.00006482294,0.000014668375,0.0000032864411,0.0010054226,0.000007686512,0.0010640237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910045,0.00005306212,0.000037418125,0.00013469157,0.00036207747,0.00031236702],"domain_scores_gemma":[0.99336594,0.0010789688,0.0014243475,0.00027560093,0.003032485,0.0008227296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016617229,0.00027479164,0.00043185003,0.0042440267,0.0017227207,0.0022029812,0.0013159617,0.00081280177,0.0027856498],"category_scores_gemma":[0.009093287,0.0003066182,0.000498026,0.0076724826,0.0011229444,0.00050583127,0.00071544375,0.0009511413,0.00022739953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026886677,0.000071446455,0.9350611,0.000113720256,0.00027126746,0.00030514723,0.0028122624,0.008503643,0.0020635764,0.009960718,0.007971877,0.032596435],"study_design_scores_gemma":[0.000003758787,0.000004105934,0.9965108,0.000009265528,0.000015376774,0.000015510654,0.00030844196,0.001543757,0.000046226487,0.00020855424,0.0013178161,0.000016449021],"about_ca_topic_score_codex":0.989661,"about_ca_topic_score_gemma":0.99349856,"teacher_disagreement_score":0.027005143,"about_ca_system_score_codex":0.027005143,"about_ca_system_score_gemma":0.019519817,"threshold_uncertainty_score":0.19593692},"labels":[],"label_agreement":null},{"id":"W2075697078","doi":"10.1287/mnsc.1100.1253","title":"Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires","year":2010,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":437,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exploit; Tacit knowledge; Stock (firearms); Citation; Entrepreneurship; Sample (material); Knowledge flow; Control (management); Business; Industrial organization; Marketing; Economics; Econometrics; Computer science; Knowledge management; Management; Finance; Engineering","score_opus":0.07717169772441164,"score_gpt":0.26680831831237306,"score_spread":0.18963662058796144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075697078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911481,0.00039993363,0.0013649558,0.0002803373,0.0000042038805,0.000024239373,0.000035344074,0.000011313722,0.0067316317],"genre_scores_gemma":[0.99781716,0.00028279852,0.00042587717,0.00003786925,0.000008645599,0.0000099763565,0.000032467182,0.000001677302,0.0013834984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992149,0.00021967625,0.000053016247,0.00015371336,0.00014733856,0.00021137847],"domain_scores_gemma":[0.9909065,0.005200082,0.0025946673,0.0005038807,0.00024803187,0.00054687803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025223047,0.00020853146,0.000379762,0.0018824511,0.00084562483,0.00244168,0.0007618974,0.0009803912,0.004463186],"category_scores_gemma":[0.011454324,0.00020877617,0.00053647935,0.0018373276,0.001002543,0.0029633641,0.0015578476,0.00048788128,0.00055381097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024067008,0.0004943639,0.8064392,0.00019077356,0.00016789402,0.0006169235,0.007511687,0.0029647043,0.0040406887,0.014057909,0.00093314,0.162342],"study_design_scores_gemma":[0.000040812116,0.00043904033,0.9658005,0.000085117295,0.00017204975,0.00049676065,0.0073291147,0.007161971,0.0014862943,0.011993341,0.0049470533,0.000048085443],"about_ca_topic_score_codex":0.0031117154,"about_ca_topic_score_gemma":0.0054725953,"teacher_disagreement_score":0.004463186,"about_ca_system_score_codex":0.00054561975,"about_ca_system_score_gemma":0.0006397247,"threshold_uncertainty_score":0.014930904},"labels":[],"label_agreement":null},{"id":"W2076322227","doi":"10.1111/j.1936-4490.2004.tb00328.x","title":"Corporate Financial Leverage in Canadian Manufacturing: Consequences for Employment and Inventories","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Leverage (statistics); Recession; Great recession; Economics; Business; Labour economics; Humanities; Macroeconomics; Art","score_opus":0.18347175750619685,"score_gpt":0.2973298746136771,"score_spread":0.11385811710748026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076322227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943124,0.0005364247,0.000041166288,0.00026493685,0.0000028703491,0.0000068435543,0.0012199478,0.0000041404114,0.0036112922],"genre_scores_gemma":[0.99842286,0.0002947516,0.00003377103,0.000014971092,0.0000030923775,0.0000021333265,0.00034927196,7.173907e-7,0.0008785491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996307,0.000012371643,0.000010222664,0.00003326572,0.00017471696,0.0001387352],"domain_scores_gemma":[0.99842215,0.00012979103,0.0005312153,0.000038041315,0.00060121686,0.00027771606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045540812,0.00025007728,0.00021897785,0.0022198965,0.0014315424,0.0011687869,0.00057889096,0.00023499574,0.0024733054],"category_scores_gemma":[0.0023850969,0.00014845705,0.00028365772,0.003156547,0.00055147853,0.0003165383,0.0006968838,0.0003459992,0.00011196879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045666395,0.000015486261,0.98620063,0.00001671063,0.00002871866,0.00012489269,0.00072470325,0.0006138561,0.0002624516,0.0004481355,0.00065690634,0.0108618485],"study_design_scores_gemma":[0.0000011857211,0.0000048865845,0.99836046,0.000009709842,0.0000059980903,0.000015900807,0.00050398364,0.00027073722,0.000059286765,0.00003247411,0.00073119346,0.00000408971],"about_ca_topic_score_codex":0.98318565,"about_ca_topic_score_gemma":0.9908923,"teacher_disagreement_score":0.017976409,"about_ca_system_score_codex":0.017976409,"about_ca_system_score_gemma":0.010388613,"threshold_uncertainty_score":0.13042861},"labels":[],"label_agreement":null},{"id":"W2080419378","doi":"10.7202/1002361ar","title":"L’informatisation sociale et l’industrie de la production de logiciels et des services informatiques au Canada","year":2011,"lang":"fr","type":"article","venue":"Cahiers de recherche sociologique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.1440780911724476,"score_gpt":0.31659122528781936,"score_spread":0.17251313411537175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080419378","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38684168,0.010292929,0.012667759,0.046382897,0.00017444327,0.00009627482,0.0009167559,0.00018750153,0.5424397],"genre_scores_gemma":[0.9186333,0.0061139124,0.0039224587,0.0010037766,0.000060251867,0.000039173523,0.00021914387,0.000057763016,0.069950305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973801,0.00045622134,0.000054095868,0.00028135465,0.0010551801,0.00077301206],"domain_scores_gemma":[0.99441236,0.001747062,0.0006793746,0.0002861088,0.002037027,0.00083803775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014381901,0.00041169146,0.00030602945,0.004069009,0.008850529,0.010724731,0.00072603347,0.0009367343,0.012587503],"category_scores_gemma":[0.004636597,0.00038186082,0.00044453904,0.007093886,0.012833585,0.0031201045,0.0021926453,0.0018300463,0.00058348785],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009972919,0.00006524309,0.031069998,0.00023387054,0.00005877136,0.0004035113,0.033510797,0.004012297,0.0017319992,0.8253843,0.013385418,0.090044014],"study_design_scores_gemma":[0.000037853035,0.00007261032,0.19035229,0.0005838246,0.00009218869,0.00026021508,0.054492768,0.0060165105,0.0025760715,0.09953762,0.6458121,0.0001659906],"about_ca_topic_score_codex":0.96226877,"about_ca_topic_score_gemma":0.97225654,"teacher_disagreement_score":0.9053542,"about_ca_system_score_codex":0.0946458,"about_ca_system_score_gemma":0.113471396,"threshold_uncertainty_score":0.68670654},"labels":[],"label_agreement":null},{"id":"W2080740968","doi":"10.1080/08276331.2005.10593350","title":"Start-up Survival and Management Capability: A Longitudinal Study of Micro-enterprises","year":2005,"lang":"en","type":"article","venue":"Journal of Small Business & Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Survivability; Overconfidence effect; Longitudinal study; Marketing; Business; Order (exchange); Operations management; Economics; Engineering; Psychology; Finance","score_opus":0.06999164168986026,"score_gpt":0.2457880457123356,"score_spread":0.17579640402247532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080740968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995646,0.000050213108,0.000048687565,0.000072090465,0.0000026992948,0.000007307249,0.000050212722,9.4897314e-7,0.00020315683],"genre_scores_gemma":[0.99934596,0.00006069523,0.00007553319,0.000035426823,0.0000058584938,0.000015453767,0.00009822079,8.718285e-7,0.00036191248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915445,0.0003814533,0.00004436266,0.000072592964,0.00013186988,0.00021529025],"domain_scores_gemma":[0.990359,0.002222041,0.0029185691,0.0006033803,0.0010191281,0.0028779914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003364821,0.00020806752,0.0002951774,0.0012409845,0.0016364207,0.0015895783,0.00039759406,0.0005550489,0.0020062583],"category_scores_gemma":[0.00826712,0.00030054414,0.00031604647,0.00082811667,0.00059486623,0.0016528417,0.0015166707,0.0014635901,0.00040258406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001186725,0.00077291956,0.987217,0.0000072237035,0.000027442165,0.00019769593,0.0070961425,0.00005109563,0.000291051,0.00016444069,0.00019587853,0.0038603893],"study_design_scores_gemma":[0.000009684247,0.00060090073,0.983582,0.00002528057,0.00001802226,0.00020006025,0.013791855,0.0003030191,0.00024119516,0.00022998748,0.0009790887,0.000018945253],"about_ca_topic_score_codex":0.0069906386,"about_ca_topic_score_gemma":0.012192432,"teacher_disagreement_score":0.0069906386,"about_ca_system_score_codex":0.00047541386,"about_ca_system_score_gemma":0.0008518078,"threshold_uncertainty_score":0.017795086},"labels":[],"label_agreement":null},{"id":"W2080824910","doi":"10.2139/ssrn.1741243","title":"The Corporate Demography of the US Credit Union Industry","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Consolidation (business); Divergence (linguistics); Economics; Demographic economics; Business; Finance","score_opus":0.03326948730906075,"score_gpt":0.19172183575684754,"score_spread":0.15845234844778677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080824910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883287,0.0011725844,0.0002129509,0.00092630007,0.000004645153,0.000008906331,0.0013993778,0.000007259028,0.007939331],"genre_scores_gemma":[0.99784076,0.0005197483,0.00010185095,0.000047540634,0.000009570472,0.0000036627982,0.00064798316,0.0000027674369,0.00082608475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998704,0.000040743187,0.000008746522,0.000026197798,0.000014016213,0.00003984464],"domain_scores_gemma":[0.99889684,0.00029427235,0.00037382878,0.000054543365,0.00019551496,0.00018505285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026533197,0.00007062688,0.00007889007,0.0026349402,0.00045815326,0.0011679055,0.00017331279,0.00038424003,0.004352634],"category_scores_gemma":[0.0014581882,0.00009461515,0.00011847066,0.00410183,0.00041613096,0.001034383,0.00058669155,0.0003940905,0.00024116196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023756943,0.00007391654,0.89839107,0.00006321886,0.000034179946,0.0004151547,0.008661946,0.0024551144,0.001035878,0.024388837,0.0045273174,0.059715763],"study_design_scores_gemma":[0.0000024973594,0.000019345485,0.9848868,0.00003453613,0.000004690997,0.00011770778,0.0041482877,0.0010996157,0.00007979453,0.0016439232,0.007957212,0.0000055837068],"about_ca_topic_score_codex":0.0679702,"about_ca_topic_score_gemma":0.11310172,"teacher_disagreement_score":0.0679702,"about_ca_system_score_codex":0.0013202117,"about_ca_system_score_gemma":0.0005109037,"threshold_uncertainty_score":0.13514918},"labels":[],"label_agreement":null},{"id":"W2081731195","doi":"10.12735/jbm.v1i1p01","title":"An Evaluation of Technology Innovation on the Performance of Indigenous Textile Weaving Firms in Southwestern Nigeria","year":2012,"lang":"en","type":"article","venue":"Journal of Business & Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Weaving; Indigenous; Textile; Engineering; Business; Geography; Mechanical engineering; Archaeology; Ecology","score_opus":0.04143889932920465,"score_gpt":0.2535759341720624,"score_spread":0.21213703484285779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081731195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993519,0.000030517946,0.0000098533565,0.000016251915,7.122258e-7,0.0000029269368,0.000008606175,2.886739e-7,0.00057888206],"genre_scores_gemma":[0.9996772,0.00005861472,0.000020850272,0.000004063848,0.0000013738049,0.0000017236649,0.000009323058,1.5992374e-7,0.00022667676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992792,0.00019289786,0.00006072551,0.00006931884,0.00019631282,0.00020152715],"domain_scores_gemma":[0.9965739,0.00096073694,0.0014436358,0.0000830871,0.00046675542,0.00047186122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808583,0.00020751753,0.00017447195,0.0008203569,0.0005355028,0.0012052257,0.00016785956,0.0003130805,0.0013040091],"category_scores_gemma":[0.0029115416,0.00009090081,0.00019294146,0.0009016615,0.0004901766,0.00056543277,0.0006107349,0.00036256172,0.00021861985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007090336,0.00029606503,0.9810342,0.0000560649,0.000023157161,0.00045799484,0.0038767802,0.0003145617,0.0019392656,0.0001597704,0.00005710071,0.011714111],"study_design_scores_gemma":[0.00000102179,0.00029768687,0.99359894,0.000023076793,0.0000082517245,0.000068636255,0.00522606,0.00018889568,0.00034211978,0.00002787984,0.00021209956,0.0000051871334],"about_ca_topic_score_codex":0.0063514947,"about_ca_topic_score_gemma":0.010614285,"teacher_disagreement_score":0.0063514947,"about_ca_system_score_codex":0.0007900391,"about_ca_system_score_gemma":0.00086194224,"threshold_uncertainty_score":0.012629032},"labels":[],"label_agreement":null},{"id":"W2085110922","doi":"10.5539/ijef.v4n7p67","title":"The Size Distribution of Chinese Manufacturing Firms: From the Perspective of Industry Life Cycle","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Manufacturing; China; Industrial organization; Panel data; Econometrics; Business; Economics; Marketing; Mathematics","score_opus":0.01503717265081915,"score_gpt":0.22980148430241254,"score_spread":0.21476431165159338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085110922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968521,0.00022103412,0.0003434093,0.000143662,0.000003874204,0.000010115265,0.0015730022,0.000007496237,0.0008452757],"genre_scores_gemma":[0.9975509,0.00008061757,0.00007766103,0.000014201836,0.000006076017,0.000006292802,0.0019697144,0.0000011876625,0.00029338666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999742,0.000027646684,0.000020828013,0.0000670777,0.00006196655,0.0000805185],"domain_scores_gemma":[0.99736905,0.00053524657,0.0012012926,0.00016835939,0.00043159575,0.0002943507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482779,0.0001884949,0.00027407368,0.0018753499,0.00029438006,0.00062415935,0.00054711464,0.00038149024,0.0012523887],"category_scores_gemma":[0.0026918754,0.00017246316,0.00043934298,0.002123333,0.00037653916,0.00077378855,0.0005441362,0.00034342354,0.0001539123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059007234,0.00002218616,0.9884248,0.0000266124,0.00005839268,0.00020595232,0.00036028252,0.003734577,0.00053961104,0.00089132006,0.0006040341,0.0050732177],"study_design_scores_gemma":[0.0000026114988,0.000019443925,0.9927867,0.000004910084,0.00001635498,0.00003549229,0.00015985695,0.005895173,0.00018204498,0.00023096123,0.00065823353,0.0000081361495],"about_ca_topic_score_codex":0.073225774,"about_ca_topic_score_gemma":0.0704885,"teacher_disagreement_score":0.073225774,"about_ca_system_score_codex":0.0015777668,"about_ca_system_score_gemma":0.0007223361,"threshold_uncertainty_score":0.14559907},"labels":[],"label_agreement":null},{"id":"W2085920634","doi":"10.1007/s10961-010-9197-0","title":"Transferring knowledge in Quebec–Mexico partnerships: the case of the dairy industry","year":2010,"lang":"en","type":"article","venue":"The Journal of Technology Transfer","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Benchmarking; General partnership; Business; Competition (biology); Knowledge transfer; Technology transfer; Product (mathematics); Exploratory research; Work (physics); Industrial organization; Marketing; Process (computing); Knowledge management; International trade; Engineering; Computer science; Finance","score_opus":0.04184552292691204,"score_gpt":0.2509805962849963,"score_spread":0.20913507335808426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085920634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9308278,0.00092570286,0.0007554916,0.008080765,0.000011462337,0.00008716225,0.00009609689,0.000020111447,0.05919543],"genre_scores_gemma":[0.9931404,0.00025816367,0.0001978247,0.00015366514,0.0000045082675,0.000016433614,0.000025611394,0.0000015796752,0.006201825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99864393,0.00041912482,0.000020015623,0.00007519117,0.00012276453,0.0007190529],"domain_scores_gemma":[0.99573815,0.002072953,0.0004403973,0.00015603637,0.0007165438,0.0008758956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006562,0.00023628557,0.00032896321,0.0011863258,0.008899415,0.005569048,0.0015376828,0.0041878577,0.009689799],"category_scores_gemma":[0.0057365745,0.00020173339,0.00037440084,0.002074092,0.0026908566,0.0024347736,0.003335366,0.0016026268,0.0002985815],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015519354,0.0025042847,0.3123559,0.00042143092,0.00038930145,0.021059072,0.040966623,0.057416275,0.0026740802,0.416852,0.025083123,0.11872598],"study_design_scores_gemma":[0.0018754121,0.00087485247,0.3252258,0.0011406691,0.00083020754,0.0024192939,0.2966494,0.13436942,0.0032407262,0.07524545,0.15783127,0.0002975199],"about_ca_topic_score_codex":0.88347244,"about_ca_topic_score_gemma":0.920842,"teacher_disagreement_score":0.9772159,"about_ca_system_score_codex":0.022784106,"about_ca_system_score_gemma":0.019753754,"threshold_uncertainty_score":0.23442757},"labels":[],"label_agreement":null},{"id":"W2087069242","doi":"10.7202/1007881ar","title":"Les facteurs de diffusion et de pénétration des nouvelles technologies dans les PME québécoises","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03133416411695909,"score_gpt":0.25681251227824736,"score_spread":0.22547834816128826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087069242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98404586,0.0019507708,0.0017341633,0.00034792468,0.000013897234,0.000019353552,0.0007151176,0.00001631966,0.0111566605],"genre_scores_gemma":[0.98782605,0.0012826396,0.000898337,0.00002772687,0.000010823736,0.000015465892,0.00035203327,0.0000072624043,0.009579566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938095,0.00009260504,0.000029256502,0.00013799242,0.00024413958,0.00011496957],"domain_scores_gemma":[0.9937796,0.0030859336,0.0012839315,0.00016003942,0.0012331575,0.0004573816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092629873,0.000304312,0.00030356122,0.003138823,0.00085317454,0.002204559,0.00034564742,0.0005749659,0.004838785],"category_scores_gemma":[0.004571592,0.00020825645,0.00033241027,0.0041134167,0.0007643875,0.0012669717,0.0006103587,0.0007346688,0.00038704067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013075712,0.00006633555,0.8989302,0.0002211419,0.00015166645,0.00050498697,0.007731025,0.0026304002,0.005175403,0.0051674894,0.0009514788,0.07833911],"study_design_scores_gemma":[0.0000026354217,0.00003369867,0.9868152,0.000055932767,0.000031565476,0.00019760059,0.002151736,0.0017163302,0.0007129041,0.00024504794,0.008017331,0.000020006457],"about_ca_topic_score_codex":0.40370247,"about_ca_topic_score_gemma":0.5879119,"teacher_disagreement_score":0.9959264,"about_ca_system_score_codex":0.0040736496,"about_ca_system_score_gemma":0.0020531376,"threshold_uncertainty_score":0.8027053},"labels":[],"label_agreement":null},{"id":"W2087934497","doi":"10.5267/j.msl.2013.04.008","title":"An evaluation of small businesses in Iran","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Process management; Computer science; Marketing; Operations management; Economics","score_opus":0.06985860002370028,"score_gpt":0.24994901169288522,"score_spread":0.18009041166918494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087934497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98979986,0.0002942033,0.00022001422,0.0002142852,0.000021710066,0.00019541747,0.00015784345,0.0000076038896,0.009089117],"genre_scores_gemma":[0.99746287,0.00033994374,0.00045014315,0.000033332617,0.000010479775,0.000074248936,0.00017560944,0.0000019292072,0.0014513986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961981,0.0010822514,0.00028349605,0.00013190332,0.0019844484,0.00031986076],"domain_scores_gemma":[0.9897064,0.0017376131,0.0016255431,0.0001750011,0.005266069,0.0014894368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043482925,0.00026576643,0.00025900634,0.0029376964,0.0010124684,0.001108057,0.00043954328,0.00027235266,0.0019882738],"category_scores_gemma":[0.009104284,0.00009510143,0.00030933443,0.0021221996,0.00054543436,0.00093286706,0.00088046904,0.0002452764,0.00028682812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066690485,0.001297171,0.70277995,0.0010140825,0.000084432635,0.0013665219,0.02251935,0.0011090975,0.0033993952,0.0014689589,0.0052769072,0.2590173],"study_design_scores_gemma":[0.00002377299,0.0015580266,0.9052737,0.00020021434,0.000047565005,0.00035207038,0.071268626,0.0012698345,0.0018022469,0.00033585788,0.017828792,0.00003940796],"about_ca_topic_score_codex":0.005734905,"about_ca_topic_score_gemma":0.01147667,"teacher_disagreement_score":0.005734905,"about_ca_system_score_codex":0.0029948,"about_ca_system_score_gemma":0.001974305,"threshold_uncertainty_score":0.022996247},"labels":[],"label_agreement":null},{"id":"W2088744996","doi":"10.1080/10438590410001628378","title":"Innovation quality and manufacturing firms' performance in Canada","year":2004,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Productivity; Innovator; Quality (philosophy); Value (mathematics); Multivariate statistics; Economics; Marketing; Market share; Industrial organization; Survey data collection; Business; Statistics; Entrepreneurship; Economic growth; Mathematics","score_opus":0.0360795073876063,"score_gpt":0.22537415403543096,"score_spread":0.18929464664782467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088744996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891395,0.00068638695,0.00015325115,0.0006924581,0.000011379034,0.000016131986,0.0016264133,0.000023177083,0.0076512876],"genre_scores_gemma":[0.9974474,0.0002862345,0.00010190036,0.00003614306,0.0000052971213,0.0000032230491,0.00092069537,0.0000046607825,0.0011944429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974433,0.0001594384,0.000105007035,0.00018832894,0.0012482239,0.00085571577],"domain_scores_gemma":[0.9842869,0.0017577676,0.0029154206,0.00032069275,0.00786005,0.0028591321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017418069,0.000216675,0.00046992628,0.0030344864,0.0015841646,0.002798717,0.0007261082,0.0003762923,0.002150408],"category_scores_gemma":[0.01145509,0.00016918911,0.00050563103,0.007876732,0.001078452,0.0006512505,0.0014585305,0.00082101574,0.00020451119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010695992,0.000055200777,0.97317106,0.000060571234,0.0000985908,0.00014623633,0.00087672163,0.0031501,0.0002788116,0.0022527168,0.0017929523,0.018010112],"study_design_scores_gemma":[0.0000067925116,0.00002126744,0.99638927,0.000029079098,0.000019932,0.000019609624,0.0005970671,0.0012274598,0.00015770586,0.000106750646,0.0014111225,0.000013975342],"about_ca_topic_score_codex":0.983065,"about_ca_topic_score_gemma":0.9874259,"teacher_disagreement_score":0.95955145,"about_ca_system_score_codex":0.04044852,"about_ca_system_score_gemma":0.034791376,"threshold_uncertainty_score":0.29347593},"labels":[],"label_agreement":null},{"id":"W2089913476","doi":"10.1080/096922900750034581","title":"No place like home? The embeddedness of innovation in a regional economy","year":2000,"lang":"en","type":"article","venue":"Review of International Political Economy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinational corporation; Embeddedness; Context (archaeology); Globalization; Indigenous; Business; Economic geography; Marketing; Economy; Economic system; Economics; Market economy; Sociology","score_opus":0.02659210285407446,"score_gpt":0.26718692725115534,"score_spread":0.24059482439708088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089913476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643303,0.0008580133,0.0014503333,0.0025562479,0.000008317752,0.0000075821786,0.000029427885,0.0000069665825,0.030752912],"genre_scores_gemma":[0.9991762,0.00016442094,0.00013825088,0.000033142227,0.000002786163,0.0000012213578,0.000004130681,0.0000022824345,0.00047769255],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982595,0.0007206235,0.000058895333,0.00023562851,0.0003198777,0.0004054971],"domain_scores_gemma":[0.9965894,0.0012143143,0.0008269823,0.0003968504,0.00032350767,0.000648943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018201658,0.00011566782,0.0002669618,0.0010921134,0.00295907,0.0052853413,0.0007354183,0.00058612507,0.0019771943],"category_scores_gemma":[0.0051159617,0.00015132333,0.00020587702,0.001089689,0.012028746,0.0042279563,0.0038585474,0.0007025302,0.00015376811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014588021,0.00008138683,0.20795536,0.00023137548,0.00009522374,0.0015581681,0.51805747,0.0019456539,0.003404524,0.19289395,0.000907634,0.07272337],"study_design_scores_gemma":[0.000020878513,0.00013302633,0.44918138,0.00050302484,0.00010903864,0.0010627366,0.42957357,0.002151892,0.0009602674,0.05570703,0.060502343,0.00009474851],"about_ca_topic_score_codex":0.1504595,"about_ca_topic_score_gemma":0.23683947,"teacher_disagreement_score":0.1504595,"about_ca_system_score_codex":0.0064532855,"about_ca_system_score_gemma":0.00564818,"threshold_uncertainty_score":0.29916745},"labels":[],"label_agreement":null},{"id":"W2090505471","doi":"10.1007/s11628-011-0110-1","title":"How much does KIBS contribute to the generation and diffusion of innovation?","year":2011,"lang":"en","type":"article","venue":"Service Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministerio de Ciencia e Innovación","keywords":"Diffusion; Business; Industrial organization; Economic geography; Economics","score_opus":0.04733082346322451,"score_gpt":0.2039056842576975,"score_spread":0.156574860794473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090505471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8426227,0.013772704,0.00992126,0.018895628,0.00036545802,0.00006738531,0.0007321369,0.00021022686,0.11341252],"genre_scores_gemma":[0.99291843,0.0031138645,0.00034405218,0.00029529017,0.00019781142,0.000010275909,0.00008916501,0.000023554205,0.0030075621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980209,0.00049391686,0.00009159305,0.0002741691,0.00057043636,0.00054899],"domain_scores_gemma":[0.97118294,0.015703369,0.0061151576,0.0016854656,0.0031149818,0.002198057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031831884,0.00046166944,0.0009829383,0.0026627078,0.00095476897,0.009004671,0.0008419778,0.0024238105,0.012555544],"category_scores_gemma":[0.024660675,0.0004014175,0.0006006414,0.003411934,0.0026282445,0.0094797565,0.0025998484,0.0016619554,0.0031870035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020090295,0.0006237587,0.35587054,0.002314606,0.0009092135,0.00069863064,0.005528919,0.020558644,0.0061570206,0.331316,0.014008321,0.2600053],"study_design_scores_gemma":[0.0002820052,0.0006865819,0.33034962,0.0014670859,0.0014153834,0.0010420277,0.019561006,0.032651212,0.0076132943,0.5043376,0.10036643,0.00022774837],"about_ca_topic_score_codex":0.00534854,"about_ca_topic_score_gemma":0.003912316,"teacher_disagreement_score":0.012555544,"about_ca_system_score_codex":0.0021472843,"about_ca_system_score_gemma":0.0014131066,"threshold_uncertainty_score":0.04200244},"labels":[],"label_agreement":null},{"id":"W2093222522","doi":"","title":"Inventive and Uninventive Clusters: The Case of Canadian Biotechnology","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Scale (ratio); Investment (military); Productivity; Focus (optics); Geography; Resource (disambiguation); Economic geography; Regional science; Business; Political science; Cartography; Economic growth; Economics; Computer science","score_opus":0.02459287374223498,"score_gpt":0.19969015769194454,"score_spread":0.17509728394970955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093222522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832501,0.00078524294,0.0007823031,0.00075716653,0.000008647752,0.000045373767,0.00071822683,0.0000127222265,0.0136401355],"genre_scores_gemma":[0.99684286,0.0003339035,0.0005206841,0.000033501045,0.0000033001404,0.000008578823,0.00024427203,0.000003665618,0.002009257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986345,0.00010744642,0.000030281,0.00016850291,0.00026779054,0.0007915847],"domain_scores_gemma":[0.996411,0.00076131016,0.0008154194,0.00022983142,0.00085096696,0.00093150325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009473979,0.00031878878,0.00041629485,0.005456179,0.007919154,0.003482744,0.0012900457,0.0008359378,0.0033074485],"category_scores_gemma":[0.0067709987,0.00021118691,0.0004174039,0.010402019,0.0033842335,0.0011641918,0.0025470147,0.0006481178,0.00017839798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059851137,0.00013635456,0.7300087,0.0002517546,0.00011583799,0.003859571,0.05871059,0.011190407,0.0023351642,0.09726581,0.006411581,0.08911577],"study_design_scores_gemma":[0.00004719943,0.000057345613,0.87694263,0.00011212693,0.00009790111,0.0006886844,0.07616862,0.0069325273,0.00078210834,0.007948742,0.030090736,0.00013150965],"about_ca_topic_score_codex":0.98041177,"about_ca_topic_score_gemma":0.99078804,"teacher_disagreement_score":0.038094595,"about_ca_system_score_codex":0.038094595,"about_ca_system_score_gemma":0.023671556,"threshold_uncertainty_score":0.27639693},"labels":[],"label_agreement":null},{"id":"W2093697814","doi":"10.5539/ijef.v3n5p104","title":"Determinants and Impact of Training: The Case of SMEs in Jordan","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Revenue; Business; Affect (linguistics); Process (computing); Marketing; Stage (stratigraphy); Operations management; Industrial organization; Economics; Finance; Computer science; Psychology","score_opus":0.06618703115476282,"score_gpt":0.2702515014813664,"score_spread":0.20406447032660358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093697814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978027,0.00010860035,0.000038039652,0.0004629668,0.0000017483543,0.0000053170947,0.000027912936,0.0000015234517,0.0015511757],"genre_scores_gemma":[0.9989986,0.00017394619,0.000026091811,0.000037765116,0.000006098121,0.0000043327805,0.000030504916,0.0000012638004,0.00072149513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992581,0.00028268935,0.000026914571,0.000037984744,0.000060482296,0.00033372728],"domain_scores_gemma":[0.9952146,0.0016114189,0.0010582577,0.000095213036,0.0005441156,0.0014764558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010156773,0.00018306942,0.00027977157,0.0010142612,0.001113575,0.0015987898,0.000744596,0.00075558375,0.005494655],"category_scores_gemma":[0.0032483772,0.0001453885,0.00026433385,0.0014689385,0.0006945705,0.0008775578,0.0018423647,0.0010648643,0.0005087483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001309404,0.0007541811,0.97276974,0.00006259666,0.0000343039,0.0044815065,0.0064287838,0.0015854106,0.00028228317,0.0022810455,0.0008871107,0.010302075],"study_design_scores_gemma":[0.00002337224,0.00017301232,0.9251928,0.00016903206,0.000055631986,0.0008200055,0.063798636,0.005116745,0.0002927031,0.0009172186,0.003420118,0.000020775016],"about_ca_topic_score_codex":0.045387454,"about_ca_topic_score_gemma":0.06810599,"teacher_disagreement_score":0.045387454,"about_ca_system_score_codex":0.0018103868,"about_ca_system_score_gemma":0.002196465,"threshold_uncertainty_score":0.0902465},"labels":[],"label_agreement":null},{"id":"W2094130189","doi":"10.5148/tncr.2014.6206","title":"Plant Dynamics and Productivity of the Canadian Petroleum and Coal Product Manufacturing Industry","year":2014,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oil refinery; Coal; Productivity; Petroleum; Petroleum product; Petroleum industry; Product (mathematics); Natural resource economics; Production (economics); Manufacturing; Industrial organization; Agricultural economics; Business; Waste management; Environmental science; Engineering; Economics; Chemistry; Marketing; Environmental engineering","score_opus":0.028832860574159774,"score_gpt":0.20721624594316393,"score_spread":0.17838338536900417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094130189","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2991648,0.63854873,0.0016574637,0.012813564,0.00031723137,0.000027198295,0.005407163,0.000056590132,0.04200727],"genre_scores_gemma":[0.66827846,0.3236349,0.00048342795,0.0003733811,0.00017352874,0.0000049723903,0.0018729116,0.000008833249,0.0051696524],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994611,0.000030112837,0.000017410846,0.000050299586,0.0003378496,0.0001032305],"domain_scores_gemma":[0.9965107,0.0005570889,0.00035873367,0.00006733731,0.002336757,0.00016932326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010313322,0.00027683063,0.00022109026,0.0042072493,0.0005367696,0.0014775314,0.0006445884,0.0004305491,0.0015498674],"category_scores_gemma":[0.0034864314,0.00013662822,0.00031278338,0.011509913,0.00073910935,0.0005857406,0.0002237293,0.0005839482,0.00017256514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032943764,0.00011675334,0.21200523,0.0028842343,0.0004947466,0.0004051101,0.0009701381,0.025545305,0.0023181739,0.042350665,0.0636057,0.6489745],"study_design_scores_gemma":[0.000014967821,0.000043123135,0.8366275,0.00061999646,0.00026221076,0.00012326345,0.0008452638,0.006045494,0.0006458031,0.0029468767,0.15177603,0.00004955728],"about_ca_topic_score_codex":0.96548533,"about_ca_topic_score_gemma":0.9765654,"teacher_disagreement_score":0.97995925,"about_ca_system_score_codex":0.02004075,"about_ca_system_score_gemma":0.026449323,"threshold_uncertainty_score":0.14540648},"labels":[],"label_agreement":null},{"id":"W2094389935","doi":"10.7202/009904ar","title":"La modélisation du changement organisationnel : déterminants et conséquences sur le marché du travail","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.0591370950372326,"score_gpt":0.2349289617097899,"score_spread":0.1757918666725573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094389935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5585707,0.0027668686,0.3776066,0.0058036027,0.00020241557,0.00019857814,0.000836809,0.0003265651,0.053687915],"genre_scores_gemma":[0.9554529,0.0013341435,0.019790806,0.00010703634,0.00006636753,0.0001701126,0.000258974,0.00007215121,0.022747546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991775,0.00035406603,0.000034331068,0.00016545776,0.00014788446,0.00012067572],"domain_scores_gemma":[0.9963121,0.0023364949,0.0005195671,0.00031067702,0.00027676017,0.0002443558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019261478,0.0005449005,0.00067861046,0.0009359029,0.0007648651,0.0035851267,0.0015956607,0.0020044213,0.009786838],"category_scores_gemma":[0.00827809,0.0005227991,0.0010134687,0.0015298876,0.0014507414,0.0025360833,0.0014126659,0.001792068,0.0013472949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016505612,0.00021145877,0.02443158,0.00012565959,0.00011385434,0.00022638473,0.00113611,0.6894285,0.0010759336,0.2574284,0.0017627197,0.023894398],"study_design_scores_gemma":[0.000045676643,0.00010742138,0.008921625,0.00006157107,0.00005261252,0.00009545831,0.0005549019,0.8651125,0.00036462417,0.11514383,0.009497826,0.000042066615],"about_ca_topic_score_codex":0.022565011,"about_ca_topic_score_gemma":0.01650107,"teacher_disagreement_score":0.022565011,"about_ca_system_score_codex":0.0026179075,"about_ca_system_score_gemma":0.0018795693,"threshold_uncertainty_score":0.044867337},"labels":[],"label_agreement":null},{"id":"W2095787439","doi":"10.7202/602351ar","title":"Les obstacles à l’innovation dans les industries de services au Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.052974846012691056,"score_gpt":0.2296174116896153,"score_spread":0.17664256567692424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095787439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93647647,0.002950727,0.0020865852,0.008611511,0.00002149469,0.000060985927,0.0011005449,0.000027854396,0.048663802],"genre_scores_gemma":[0.99036586,0.0022314265,0.0007651872,0.00024861464,0.0000093983435,0.00002055563,0.00024981677,0.00000920841,0.0060998397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99549437,0.0004643736,0.00014413844,0.00027976095,0.0021218574,0.0014954851],"domain_scores_gemma":[0.98453474,0.007239481,0.001955539,0.0002878899,0.004445884,0.0015364066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028047734,0.0002588871,0.00049646286,0.0032246413,0.005428326,0.005783816,0.00071792165,0.00082350266,0.006112387],"category_scores_gemma":[0.0153524475,0.00026297543,0.00053555105,0.008212124,0.0024822187,0.0015896449,0.0017369152,0.0013010027,0.00031364575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032101237,0.00020569707,0.68162173,0.0008546915,0.00015073395,0.001188399,0.037089065,0.016840238,0.0012961769,0.12055523,0.009851043,0.13002606],"study_design_scores_gemma":[0.000029203567,0.00008311567,0.8533001,0.0007481816,0.00014535456,0.00019210971,0.04880595,0.010476697,0.0015068722,0.01138651,0.0732094,0.00011645422],"about_ca_topic_score_codex":0.98385066,"about_ca_topic_score_gemma":0.99124736,"teacher_disagreement_score":0.06224099,"about_ca_system_score_codex":0.06224099,"about_ca_system_score_gemma":0.09522085,"threshold_uncertainty_score":0.4515921},"labels":[],"label_agreement":null},{"id":"W2096968483","doi":"10.1287/mnsc.48.1.44.14279","title":"Putting Patents in Context: Exploring Knowledge Transfer from MIT","year":2002,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Context (archaeology); Complement (music); Technology transfer; Sample (material); Knowledge transfer; Business; Economics; Management; Geography; International trade; Physics","score_opus":0.14827784370741906,"score_gpt":0.22702602901561758,"score_spread":0.07874818530819852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096968483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640947,0.0021742124,0.0073185246,0.0022658082,0.000019211882,0.000027016518,0.00016030535,0.00003115079,0.023909176],"genre_scores_gemma":[0.99864155,0.00037139925,0.00039856628,0.000084662795,0.00004451453,0.000009969584,0.000058843973,0.0000047611034,0.000385723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962773,0.0012763966,0.00020523637,0.0006770838,0.0010787039,0.00048524878],"domain_scores_gemma":[0.93907285,0.045301706,0.011018505,0.0018420735,0.0017772726,0.0009876095],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004289167,0.00031522856,0.0012038994,0.0072243656,0.001908949,0.005780693,0.0010023214,0.0016752341,0.0047675148],"category_scores_gemma":[0.058336724,0.00019893012,0.00040237914,0.011534014,0.0029781358,0.014507437,0.0039804545,0.0018070723,0.00029287595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006021985,0.00047777203,0.5757201,0.0007683246,0.0004445352,0.0018676725,0.037293185,0.013247979,0.0055130166,0.12536238,0.0013511903,0.23735164],"study_design_scores_gemma":[0.00007974836,0.0006916606,0.6465011,0.00030659678,0.00041611772,0.00145156,0.031759866,0.015362628,0.005227542,0.27387223,0.024207612,0.00012342389],"about_ca_topic_score_codex":0.0029598272,"about_ca_topic_score_gemma":0.0024517155,"teacher_disagreement_score":0.99571085,"about_ca_system_score_codex":0.0020528135,"about_ca_system_score_gemma":0.0009064595,"threshold_uncertainty_score":0.02268356},"labels":[],"label_agreement":null},{"id":"W2097521401","doi":"10.7202/1008702ar","title":"La croissance et la décroissance des entreprises aux Pays-Bas","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03509594742069402,"score_gpt":0.2765381959779112,"score_spread":0.24144224855721716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097521401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94034964,0.004379659,0.0014360233,0.0023485185,0.000078653255,0.000025019694,0.00074041425,0.000031346193,0.05061073],"genre_scores_gemma":[0.97778416,0.002350246,0.0006162979,0.0001961993,0.00006824249,0.00001841401,0.00035584037,0.000013209415,0.018597407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819535,0.00039715326,0.00005310832,0.00024313058,0.0004892682,0.0006220576],"domain_scores_gemma":[0.9957553,0.0010526086,0.0012535909,0.00015756329,0.0011441086,0.0006368361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151634,0.00031058298,0.0003792363,0.002567078,0.0023440565,0.004825234,0.000465014,0.0007811628,0.011794649],"category_scores_gemma":[0.0038007784,0.00023472545,0.0004011679,0.0033875946,0.0009882239,0.0015439454,0.0012613209,0.0012133318,0.0011071106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052185525,0.00026201722,0.66067517,0.00058277714,0.00026537848,0.0018306557,0.034382362,0.0025595333,0.0037086376,0.1269416,0.0068451515,0.1614248],"study_design_scores_gemma":[0.000021967251,0.00017626514,0.82723886,0.00028739445,0.00007983613,0.00064768025,0.02554411,0.0018560839,0.001258534,0.0055207764,0.13731973,0.000048777536],"about_ca_topic_score_codex":0.053851143,"about_ca_topic_score_gemma":0.074249,"teacher_disagreement_score":0.053851143,"about_ca_system_score_codex":0.0034819746,"about_ca_system_score_gemma":0.0026652669,"threshold_uncertainty_score":0.10707533},"labels":[],"label_agreement":null},{"id":"W2098345781","doi":"10.1504/ijbg.2011.042755","title":"Establishing a market niche: the case of Keystrox","year":2011,"lang":"en","type":"article","venue":"International Journal of Business and Globalisation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Niche market; Business; Industrial organization; Transcription (linguistics); Competitive advantage; Niche; Marketing; Commerce; Economics; Biology","score_opus":0.0439601405497974,"score_gpt":0.22764173985230485,"score_spread":0.18368159930250744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098345781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58575785,0.0017718116,0.008753135,0.04423014,0.0002849151,0.00022472534,0.000103803824,0.00013529783,0.3587384],"genre_scores_gemma":[0.9577751,0.00079557375,0.0022786672,0.0030237092,0.00013032745,0.000092406575,0.000036318936,0.000051876388,0.035816036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.996815,0.0010138889,0.000052011226,0.00033175264,0.00056269974,0.0012246139],"domain_scores_gemma":[0.9934256,0.0026279273,0.00049054046,0.00024133481,0.0005612278,0.0026534367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032136007,0.00043614933,0.00043134665,0.0016494298,0.013393203,0.010483525,0.0014691883,0.00742276,0.017406711],"category_scores_gemma":[0.0055674347,0.00037041027,0.00065641565,0.0012513418,0.008537946,0.007958414,0.0068213856,0.0044688764,0.0024656504],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003189355,0.0006045165,0.014411033,0.00017064063,0.00002492354,0.095961936,0.079392664,0.0017555445,0.0033972224,0.7418951,0.028695973,0.033371523],"study_design_scores_gemma":[0.00017995552,0.00066225586,0.011741878,0.00074089534,0.00004263777,0.027809225,0.19537127,0.011342528,0.0035674104,0.11906909,0.6292418,0.00023098383],"about_ca_topic_score_codex":0.007244644,"about_ca_topic_score_gemma":0.013088469,"teacher_disagreement_score":0.017406711,"about_ca_system_score_codex":0.005219361,"about_ca_system_score_gemma":0.004459524,"threshold_uncertainty_score":0.058231235},"labels":[],"label_agreement":null},{"id":"W2098473182","doi":"10.7202/602231ar","title":"D’une analyse de variabilités à un modèle d’investissement des firmes","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy","score_opus":0.0642091635329294,"score_gpt":0.24242411930104588,"score_spread":0.17821495576811647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098473182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05451415,0.0007349456,0.94009995,0.0009180435,0.00009365141,0.00007232081,0.00038241874,0.0002554557,0.0029290698],"genre_scores_gemma":[0.6563889,0.0033712778,0.32227102,0.00037870856,0.0005033737,0.00072729617,0.0014438658,0.00029275395,0.014622846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99640924,0.0019479814,0.00010657478,0.00060163345,0.0006796374,0.00025498535],"domain_scores_gemma":[0.97957313,0.017197575,0.0006630161,0.0012996548,0.0010712586,0.0001952866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008114075,0.0016042647,0.001913611,0.001840299,0.0007118149,0.0034111412,0.0017729095,0.0018223198,0.007199764],"category_scores_gemma":[0.028557522,0.0012343681,0.004087598,0.002473796,0.0013371514,0.0022734043,0.0018710294,0.0034630515,0.0009215052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017074913,0.00017379601,0.010336631,0.0002530186,0.0007705156,0.00017733086,0.00039517798,0.8636254,0.0024602194,0.06314248,0.0010631487,0.057431463],"study_design_scores_gemma":[0.000027557964,0.00010490167,0.003028627,0.000045742043,0.00012207431,0.000051974388,0.000051370484,0.96007323,0.0009676501,0.03271732,0.002773866,0.000035756304],"about_ca_topic_score_codex":0.03126631,"about_ca_topic_score_gemma":0.01677789,"teacher_disagreement_score":0.03126631,"about_ca_system_score_codex":0.0019058625,"about_ca_system_score_gemma":0.0022023972,"threshold_uncertainty_score":0.0621686},"labels":[],"label_agreement":null},{"id":"W2099170397","doi":"10.7202/1065754ar","title":"Manufacturing Growth and Agglomeration Effects","year":2019,"lang":"en","type":"preprint","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Productivity; Competition (biology); Economics; Diversity (politics); Investment (military); Economic geography; Manufacturing; Labour economics; Industrial organization; Microeconomics; Business; Macroeconomics; Ecology","score_opus":0.034437703632306395,"score_gpt":0.21379123527683008,"score_spread":0.1793535316445237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099170397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790532,0.0013297221,0.0014597066,0.0006088889,0.000014163068,0.000012224684,0.0003654766,0.000037086666,0.017119622],"genre_scores_gemma":[0.99873036,0.00020421013,0.0001076621,0.000025685347,0.000011487023,0.000002717993,0.0001087484,0.0000043741506,0.000804693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999231,0.00021214566,0.000028649143,0.000120964134,0.0001369283,0.0002701963],"domain_scores_gemma":[0.9943334,0.0028152105,0.0014270446,0.00041140296,0.00043334847,0.0005796208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072255643,0.00032891554,0.00044555508,0.0013165415,0.0005912162,0.0008856699,0.00023654276,0.00033492426,0.007980667],"category_scores_gemma":[0.0033174893,0.00011482996,0.000560977,0.0015736267,0.0011891503,0.0007137501,0.0017061156,0.000499273,0.0005057173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003587508,0.00012112155,0.90570724,0.00023301966,0.0003655709,0.0013060734,0.001648143,0.018836536,0.0048713903,0.029987924,0.001517611,0.035046678],"study_design_scores_gemma":[0.000022640266,0.00010788817,0.9778373,0.000060178143,0.00009332927,0.00025793823,0.0011412799,0.0045158104,0.0012915713,0.008391321,0.006264075,0.000016570768],"about_ca_topic_score_codex":0.013880635,"about_ca_topic_score_gemma":0.019777037,"teacher_disagreement_score":0.013880635,"about_ca_system_score_codex":0.0010843782,"about_ca_system_score_gemma":0.00042732948,"threshold_uncertainty_score":0.027599692},"labels":[],"label_agreement":null},{"id":"W2099217977","doi":"","title":"Les générations X et Y du Québec, vraiment différentes des précédentes ?","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Baby boomers; Generation x; Generation y; Baby boom; Order (exchange); Mythology; Face (sociological concept); Sociology; Humanities; Demographic economics; Economics; Demography; Art; Business; Population; Social science; Marketing","score_opus":0.05129115633401483,"score_gpt":0.2952715782205822,"score_spread":0.24398042188656738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099217977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77900857,0.017570548,0.0012520449,0.050473753,0.0009094928,0.00007777405,0.00077577453,0.000052126266,0.14987996],"genre_scores_gemma":[0.90534276,0.0050309044,0.0005801065,0.004344677,0.000063653024,0.00003436486,0.0001940742,0.000020104022,0.0843894],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9994399,0.00012780713,0.000009075998,0.00007145215,0.00007687637,0.00027489063],"domain_scores_gemma":[0.9995154,0.000071676564,0.000057037953,0.000021585132,0.00013211215,0.00020213918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052095676,0.00028977048,0.00021026608,0.0004653896,0.00895358,0.0031382053,0.00049283676,0.0009051636,0.0111317355],"category_scores_gemma":[0.0009957459,0.00015603502,0.00021148895,0.00076828885,0.0031389303,0.0020704356,0.00075294985,0.001585411,0.00047822573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032076956,0.00015797053,0.17713644,0.00025437895,0.000101038866,0.004818094,0.29622746,0.0007424439,0.0038312492,0.23572233,0.07241047,0.20827742],"study_design_scores_gemma":[0.000025545669,0.000093367526,0.32203782,0.0004788865,0.00003272218,0.00084030133,0.20173316,0.00038021395,0.00044016866,0.0052353917,0.46859717,0.000105302],"about_ca_topic_score_codex":0.9837802,"about_ca_topic_score_gemma":0.9885669,"teacher_disagreement_score":0.026218645,"about_ca_system_score_codex":0.026218645,"about_ca_system_score_gemma":0.022966534,"threshold_uncertainty_score":0.19023049},"labels":[],"label_agreement":null},{"id":"W2099461386","doi":"10.1111/0008-4085.00053","title":"Canadian manufacturers' relative productivity performance, 1907–1990","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Business; Agricultural economics; Natural resource economics; Economics; Macroeconomics","score_opus":0.07889578117099594,"score_gpt":0.16471789487681623,"score_spread":0.0858221137058203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099461386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57259065,0.010228935,0.0010194343,0.0012321917,0.00011092295,0.00013097892,0.32906544,0.00032152716,0.08529995],"genre_scores_gemma":[0.8694458,0.0051193344,0.0016640775,0.00016440685,0.00005020815,0.00006000076,0.08702495,0.000050522667,0.036420695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789596,0.000040159226,0.00008268635,0.00024484113,0.0013702859,0.0003661054],"domain_scores_gemma":[0.99485093,0.00015523627,0.00082603033,0.00012618415,0.0037143885,0.0003272615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000833062,0.00056053896,0.0003208955,0.010175016,0.0019228031,0.0019130517,0.0011005827,0.00034262368,0.005428194],"category_scores_gemma":[0.004110681,0.00025233947,0.0005151677,0.017684627,0.00046415534,0.00052053883,0.0005468717,0.00042251995,0.0016842489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044024232,0.000058202586,0.72529906,0.0013048516,0.00052732456,0.0005875804,0.005290829,0.0044309795,0.0015778078,0.011247736,0.09192116,0.15731421],"study_design_scores_gemma":[0.0000042765523,0.000018193305,0.9433926,0.000035803518,0.00004057824,0.00008149452,0.00059786625,0.0003984861,0.00034479782,0.000050639865,0.05501058,0.000024665287],"about_ca_topic_score_codex":0.9924158,"about_ca_topic_score_gemma":0.99500644,"teacher_disagreement_score":0.04083294,"about_ca_system_score_codex":0.04083294,"about_ca_system_score_gemma":0.022460958,"threshold_uncertainty_score":0.29626507},"labels":[],"label_agreement":null},{"id":"W2099884832","doi":"","title":"TOO MUCH OR TOO LITTLE? PRICE DECREASES IN MULTI-COMPONENT SYSTEMS MARKETS","year":2008,"lang":"en","type":"article","venue":"ASAC","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; McMaster University","funders":"","keywords":"Component (thermodynamics); Economics; Business; Monetary economics","score_opus":0.09728975862838878,"score_gpt":0.2452676042582227,"score_spread":0.1479778456298339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099884832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360211,0.003834777,0.01685283,0.0138293775,0.00022694856,0.00002768683,0.00020648437,0.00026176457,0.028739024],"genre_scores_gemma":[0.9976628,0.0003338615,0.0005113815,0.00021880498,0.000115108975,0.0000061607366,0.000019000418,0.000013197881,0.0011196465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99953437,0.0001688519,0.00002246897,0.00007861686,0.0001007609,0.000094831295],"domain_scores_gemma":[0.9878846,0.008087151,0.0020470875,0.00063588045,0.0007751701,0.0005701741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017475487,0.00028961888,0.0010355025,0.00056044786,0.0006983531,0.0032475886,0.00088930095,0.0019727938,0.009748341],"category_scores_gemma":[0.021151394,0.00033371212,0.00044049494,0.0007539177,0.0018397324,0.006450535,0.0008901652,0.001983947,0.00045158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021130866,0.00061105425,0.03223387,0.0007987245,0.0002925378,0.0013410292,0.0011495975,0.075165056,0.01052218,0.7015099,0.027366232,0.14689675],"study_design_scores_gemma":[0.0002814205,0.0003363545,0.041729514,0.000059129383,0.00015761027,0.00034731926,0.0009746479,0.1585031,0.0021021236,0.78952473,0.0059062857,0.00007771151],"about_ca_topic_score_codex":0.0019610175,"about_ca_topic_score_gemma":0.0013216994,"teacher_disagreement_score":0.009748341,"about_ca_system_score_codex":0.001007606,"about_ca_system_score_gemma":0.00045298465,"threshold_uncertainty_score":0.03261143},"labels":[],"label_agreement":null},{"id":"W2100322116","doi":"10.7202/1008271ar","title":"Entrepreneuriat, développement du territoire et appropriation de l'information","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01813292953735968,"score_gpt":0.23451195044971374,"score_spread":0.21637902091235406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100322116","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20201436,0.008999756,0.061646216,0.022909759,0.00016599116,0.00009637839,0.00044204915,0.00019314735,0.70353234],"genre_scores_gemma":[0.92403024,0.0036054212,0.009669988,0.00054219255,0.000062713254,0.00007107102,0.00011026082,0.000053843632,0.061854344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986085,0.0004414626,0.00005256508,0.00036867644,0.0003207946,0.00020793639],"domain_scores_gemma":[0.99759114,0.0009706335,0.00053701334,0.0002831589,0.00031079887,0.00030734058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016676196,0.00040382112,0.00043744472,0.0019163479,0.0019652664,0.007839712,0.0008297643,0.0020659538,0.014977516],"category_scores_gemma":[0.004343242,0.0004382164,0.0006497434,0.002037721,0.0046181763,0.006819516,0.0034453264,0.0017195443,0.0019190921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080535676,0.00004717448,0.011161258,0.00025631802,0.00004835651,0.0005677744,0.0106427055,0.0017135666,0.0012460764,0.9217274,0.0023870298,0.050121844],"study_design_scores_gemma":[0.00006366201,0.00022019296,0.061756413,0.00085947535,0.00013483959,0.001601818,0.021358907,0.0050985543,0.004084472,0.50098014,0.40371123,0.00013033269],"about_ca_topic_score_codex":0.007448443,"about_ca_topic_score_gemma":0.008403897,"teacher_disagreement_score":0.014977516,"about_ca_system_score_codex":0.003394,"about_ca_system_score_gemma":0.003274386,"threshold_uncertainty_score":0.050104797},"labels":[],"label_agreement":null},{"id":"W2101984611","doi":"10.2139/ssrn.2727481","title":"Plant Turnover and Structural Reforms in Colombia","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Centre for International Governance Innovation","funders":"","keywords":"Business","score_opus":0.007482154081048742,"score_gpt":0.18821560204498877,"score_spread":0.18073344796394003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101984611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897621,0.0013700991,0.00008207825,0.0015402389,0.000013976468,0.000014348453,0.0005847606,0.000013094588,0.006619269],"genre_scores_gemma":[0.9980855,0.00033699357,0.00002613059,0.00004314089,0.00001655954,0.0000031030413,0.00026642377,0.0000021613728,0.0012200305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996207,0.00005849638,0.000015862455,0.0000471479,0.00003978806,0.00021798952],"domain_scores_gemma":[0.996846,0.0007330382,0.0013814707,0.00008800784,0.0003583732,0.00059306144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055755983,0.00017086153,0.000390824,0.0013238506,0.0007603365,0.0026148155,0.00054576126,0.0011087392,0.0072377548],"category_scores_gemma":[0.0031619305,0.00015050567,0.00022013905,0.0015540562,0.0006673285,0.00085328915,0.0008840477,0.0010163767,0.0003167022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012373588,0.00038845395,0.93342394,0.00027167145,0.0001097226,0.0011898134,0.0022372354,0.0070791617,0.0007905642,0.01598476,0.0063474537,0.03093981],"study_design_scores_gemma":[0.000088194196,0.00007297477,0.9833429,0.000054846318,0.000054316424,0.000103617815,0.0046450775,0.0040969113,0.00023482637,0.001192524,0.0060903495,0.000023433231],"about_ca_topic_score_codex":0.33298805,"about_ca_topic_score_gemma":0.42243245,"teacher_disagreement_score":0.33298805,"about_ca_system_score_codex":0.0073292945,"about_ca_system_score_gemma":0.0020510948,"threshold_uncertainty_score":0.6620997},"labels":[],"label_agreement":null},{"id":"W2102968845","doi":"10.2139/ssrn.229793","title":"Labour Productivity Differences Between Domestic and Foreign-Controlled Establishments in the Canadian Manufacturing Sector","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Government of Canada; Statistics Canada","funders":"","keywords":"Productivity; Manufacturing sector; Business; Labour economics; Agricultural economics; Economics; Economic growth","score_opus":0.016299962514406127,"score_gpt":0.2073378105310112,"score_spread":0.19103784801660506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102968845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970584,0.00032691532,0.00003472041,0.00011299529,0.0000055420205,0.0000060598845,0.0006566883,0.0000044739836,0.0017942137],"genre_scores_gemma":[0.99787843,0.00015737744,0.000021543925,0.000020838139,0.0000024962437,0.0000018040157,0.00038704928,0.0000015566886,0.0015288875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992663,0.000047819,0.000020414316,0.00009627644,0.00017023575,0.00039897524],"domain_scores_gemma":[0.9974657,0.00037890172,0.00037077646,0.000069562564,0.0008853694,0.00082967384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077763497,0.0002640822,0.00032213476,0.0017920927,0.0016311061,0.0012919196,0.0010475701,0.00040787237,0.00378307],"category_scores_gemma":[0.0025256334,0.00017074884,0.00041215407,0.0030964406,0.00097249856,0.0004045875,0.0007124755,0.00057412696,0.00045507267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000450479,0.00010616619,0.97084504,0.00006008581,0.00009917942,0.00023074514,0.0051232553,0.0011774339,0.0015549711,0.0011480802,0.0021516888,0.017052742],"study_design_scores_gemma":[0.000003816845,0.000017718125,0.99680114,0.000009198031,0.00001036123,0.000014378587,0.002413462,0.00023092258,0.000067192625,0.000032381733,0.00039164865,0.000007658055],"about_ca_topic_score_codex":0.99030054,"about_ca_topic_score_gemma":0.9962745,"teacher_disagreement_score":0.018655874,"about_ca_system_score_codex":0.018655874,"about_ca_system_score_gemma":0.015511175,"threshold_uncertainty_score":0.13535845},"labels":[],"label_agreement":null},{"id":"W2104179706","doi":"10.2139/ssrn.1944933","title":"Competition and Product Innovation in Dynamic Oligopoly","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Oligopoly; Competition (biology); Industrial organization; Product innovation; Business; Product (mathematics); Dynamic capabilities; Economics; Microeconomics; Cournot competition; Mathematics","score_opus":0.012957971632901251,"score_gpt":0.22225988697629104,"score_spread":0.2093019153433898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104179706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93773174,0.0026399407,0.028102722,0.0026976834,0.00006321459,0.00004692592,0.00017668259,0.00006735939,0.028473822],"genre_scores_gemma":[0.994303,0.0007198805,0.00091071485,0.00007595036,0.000047176105,0.000012499731,0.000038598133,0.0000063269117,0.00388595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988644,0.0005482192,0.000052543863,0.00016684459,0.000112130445,0.00025586243],"domain_scores_gemma":[0.9813495,0.015024005,0.0017287518,0.00034353623,0.0005484511,0.0010058221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028328868,0.00044863968,0.0014493619,0.001216136,0.0010370956,0.0040334603,0.0007988913,0.0023961312,0.009275695],"category_scores_gemma":[0.011249843,0.0004863808,0.0011637809,0.0018105858,0.0027697221,0.0038353335,0.0014446677,0.0016051037,0.00048530684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011272653,0.00076103647,0.03202101,0.00040460593,0.00024229448,0.0014577452,0.0008018245,0.21613374,0.0028554564,0.7119789,0.0031800251,0.029036062],"study_design_scores_gemma":[0.0004681813,0.0005050695,0.019074999,0.00008106542,0.00018795338,0.0004114977,0.00096090947,0.2747069,0.00059192354,0.6998481,0.0030533068,0.00011009933],"about_ca_topic_score_codex":0.007335048,"about_ca_topic_score_gemma":0.0065810094,"teacher_disagreement_score":0.009275695,"about_ca_system_score_codex":0.0021004525,"about_ca_system_score_gemma":0.0014912211,"threshold_uncertainty_score":0.031030297},"labels":[],"label_agreement":null},{"id":"W2105025133","doi":"10.7202/1008699ar","title":"Les PME à forte croissance en Italie : succès étonnants et désagréables surprises","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.034297992722780876,"score_gpt":0.2682676197044456,"score_spread":0.23396962698166474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105025133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7323566,0.0014021774,0.0051560747,0.010677335,0.00027381224,0.00003960148,0.00020571123,0.000071945346,0.24981679],"genre_scores_gemma":[0.9517588,0.0004981304,0.00062637235,0.0005941841,0.00007164109,0.000022250975,0.00008343276,0.00005187597,0.046293296],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99896467,0.00036221577,0.000029056888,0.00016822074,0.00021907149,0.00025673362],"domain_scores_gemma":[0.9979467,0.0007862264,0.00045554593,0.00018766754,0.00028819067,0.0003357451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563662,0.0003899892,0.00024571994,0.0006697477,0.002453686,0.0052266074,0.000551494,0.0010370051,0.014056383],"category_scores_gemma":[0.005354832,0.00022224571,0.00027718084,0.000913143,0.0036849142,0.0034130272,0.0028016663,0.0020340106,0.0020100505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006005917,0.00013981499,0.08316857,0.0004652324,0.000062769526,0.005300889,0.41087452,0.0012177611,0.0053357733,0.3371605,0.032827426,0.12284618],"study_design_scores_gemma":[0.000044998407,0.00023989503,0.16056068,0.00045121994,0.000045586745,0.0013646542,0.2749855,0.002740427,0.0024477707,0.038635157,0.5183822,0.000101988444],"about_ca_topic_score_codex":0.0047322595,"about_ca_topic_score_gemma":0.008213643,"teacher_disagreement_score":0.014056383,"about_ca_system_score_codex":0.0028869251,"about_ca_system_score_gemma":0.001092764,"threshold_uncertainty_score":0.047023296},"labels":[],"label_agreement":null},{"id":"W2105208738","doi":"10.2139/ssrn.2011779","title":"Firm Entry and Exit in Canada, 2000 to 2008","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Innovation, Science and Economic Development Canada; Statistics Canada","funders":"","keywords":"Business","score_opus":0.011121973991510173,"score_gpt":0.1886888798007207,"score_spread":0.17756690580921053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105208738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8989549,0.0050762715,0.000248495,0.004651117,0.00013531353,0.000073319694,0.07681095,0.00015440592,0.013895176],"genre_scores_gemma":[0.94140506,0.0022072017,0.00017228757,0.00055130076,0.00007591834,0.000031070864,0.02435359,0.00003297272,0.031170603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850756,0.000035283323,0.000072087816,0.00017318534,0.0004105934,0.00080124126],"domain_scores_gemma":[0.9923017,0.0004434936,0.0020761054,0.00009616405,0.003033946,0.0020485308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064422906,0.00051954325,0.0006973875,0.0030395165,0.0023232365,0.0030876058,0.0016561948,0.001569076,0.0058497693],"category_scores_gemma":[0.0045958436,0.00034534998,0.0008262494,0.0056811585,0.0009493898,0.0011966012,0.0016731404,0.0019880524,0.0008875339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000790932,0.00013516362,0.9304592,0.0002210952,0.00015995605,0.00046496117,0.0017176482,0.0012824248,0.00020768546,0.0022918943,0.04318251,0.019086547],"study_design_scores_gemma":[0.000024896251,0.00004102659,0.9797773,0.00010142042,0.000044416363,0.000083928586,0.0021394843,0.00085005304,0.00017099729,0.00009535347,0.016642429,0.00002881567],"about_ca_topic_score_codex":0.9959455,"about_ca_topic_score_gemma":0.9982298,"teacher_disagreement_score":0.04043439,"about_ca_system_score_codex":0.04043439,"about_ca_system_score_gemma":0.05736498,"threshold_uncertainty_score":0.2933734},"labels":[],"label_agreement":null},{"id":"W2105907333","doi":"10.1016/j.ijindorg.2012.02.001","title":"Employee spinoffs and other entrants: Stylized facts from Brazil","year":2012,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Diversification (marketing strategy); Business; Productivity; Labour economics; Quarter (Canadian coin); Industrial organization; Marketing; Economics","score_opus":0.05135899331225046,"score_gpt":0.2536824949071427,"score_spread":0.2023235015948922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105907333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97760856,0.0016944583,0.0003986018,0.0012405254,0.000012547372,0.00001667668,0.0012680079,0.000017894487,0.017742647],"genre_scores_gemma":[0.99853694,0.0005593183,0.00004510447,0.000032534506,0.000011036199,0.0000022212103,0.00024771597,0.0000032367493,0.00056184165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979633,0.00002871871,0.000015901247,0.00003347818,0.00004613605,0.00007946038],"domain_scores_gemma":[0.99500054,0.0026612524,0.0014910977,0.00026737136,0.0002892824,0.00029044872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062862615,0.00014994845,0.00031129117,0.0012666042,0.00053566793,0.0013673363,0.00029238994,0.00047559582,0.0032329087],"category_scores_gemma":[0.0049811755,0.00011039159,0.00029558234,0.0017019316,0.0005843574,0.0006671434,0.00069668965,0.0006312167,0.00020704162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034044674,0.00021228658,0.90963,0.0002398803,0.00019815216,0.0025504206,0.004105501,0.0029537585,0.0013162759,0.03769355,0.007322882,0.033436783],"study_design_scores_gemma":[0.00006139634,0.00008909514,0.9604917,0.0001658136,0.00021263171,0.0010511883,0.0059145535,0.0047873063,0.0006591375,0.015671866,0.010862631,0.000032636875],"about_ca_topic_score_codex":0.037203245,"about_ca_topic_score_gemma":0.06699057,"teacher_disagreement_score":0.037203245,"about_ca_system_score_codex":0.00060066744,"about_ca_system_score_gemma":0.0004398985,"threshold_uncertainty_score":0.07397342},"labels":[],"label_agreement":null},{"id":"W2107700927","doi":"10.7202/1008363ar","title":"Capitalisation des entreprises québécoises: évolution et état de la situation","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.026270902457140567,"score_gpt":0.25447283863863246,"score_spread":0.2282019361814919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107700927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735083,0.0014201399,0.00052188104,0.002519577,0.00002492928,0.000018678666,0.0022663749,0.00002448509,0.019695604],"genre_scores_gemma":[0.9865232,0.0006960263,0.0003021707,0.0001278744,0.000008229132,0.000013835523,0.0007739155,0.000008932433,0.011545838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948907,0.00007113616,0.000015223208,0.00009212449,0.00014379002,0.00018853441],"domain_scores_gemma":[0.99768555,0.00026575907,0.0004487658,0.00009074538,0.0010028437,0.0005063355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007824972,0.000247748,0.00039195563,0.002366303,0.0026992771,0.0027741299,0.00070248864,0.0005978329,0.00992541],"category_scores_gemma":[0.0024124265,0.0001958018,0.00031141227,0.0042250445,0.0013771941,0.0013362138,0.0009546921,0.00080272934,0.00048028966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019803978,0.00007959404,0.8687544,0.00018630551,0.00025064935,0.0006860056,0.029997522,0.0024448107,0.0015715549,0.015163529,0.009861485,0.070806116],"study_design_scores_gemma":[0.000004511418,0.000027649126,0.96644396,0.00008782023,0.000031058004,0.00006611474,0.010456069,0.001400308,0.00017224171,0.00048566496,0.02079176,0.000032772114],"about_ca_topic_score_codex":0.9744614,"about_ca_topic_score_gemma":0.98618895,"teacher_disagreement_score":0.97382575,"about_ca_system_score_codex":0.026174232,"about_ca_system_score_gemma":0.015506275,"threshold_uncertainty_score":0.18990827},"labels":[],"label_agreement":null},{"id":"W2108155345","doi":"10.7202/1008351ar","title":"L'évolution structurelle du commerce de gros français","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Forestry; Political science; Geography; Art","score_opus":0.019026824190255916,"score_gpt":0.23403331510839565,"score_spread":0.21500649091813973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108155345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898936,0.0007454559,0.00076038024,0.00036088825,0.000007693399,0.0000136315,0.0010915762,0.000018149707,0.0071086367],"genre_scores_gemma":[0.99209094,0.00044670998,0.0006471814,0.000051821342,0.0000057390516,0.000009310569,0.0008927872,0.0000067417013,0.0058487514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994941,0.00008436029,0.000019623214,0.00011420785,0.00010350135,0.0001841474],"domain_scores_gemma":[0.99726605,0.000592152,0.00078620296,0.00013967999,0.00089000526,0.00032594352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801957,0.00025896114,0.00026101407,0.002021229,0.000778023,0.0016552213,0.0003099538,0.00039295905,0.004730681],"category_scores_gemma":[0.0017147583,0.0002074117,0.0005621159,0.002594781,0.0005704035,0.00064487895,0.00049474754,0.0004005685,0.00048415727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025294357,0.000043215845,0.93894804,0.00009051811,0.0003088761,0.00047461764,0.00322062,0.0035856096,0.0058775563,0.006154292,0.0009896116,0.040054042],"study_design_scores_gemma":[0.0000038552553,0.00004113178,0.99094486,0.000022178523,0.000018427718,0.00006939939,0.0011266676,0.00092727935,0.00022485426,0.00034090193,0.0062681586,0.0000121371795],"about_ca_topic_score_codex":0.3720807,"about_ca_topic_score_gemma":0.4477177,"teacher_disagreement_score":0.3720807,"about_ca_system_score_codex":0.0036724198,"about_ca_system_score_gemma":0.0018212611,"threshold_uncertainty_score":0.7398299},"labels":[],"label_agreement":null},{"id":"W2108902825","doi":"10.19030/ijmis.v17i1.7590","title":"Organizational Change In Small And Medium Size Enterprises: Practice, Frequency And Achievement Of Objectives","year":2012,"lang":"en","type":"article","venue":"International Journal of Management & Information Systems (IJMIS)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Flexibility (engineering); Business; Organizational change; Small and medium-sized enterprises; Organizational performance; Educational attainment; Survey data collection; Marketing; Economics; Public relations; Economic growth; Management; Finance; Political science","score_opus":0.0195701407465951,"score_gpt":0.23668117151261653,"score_spread":0.21711103076602142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108902825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984792,0.00014897426,0.000052967258,0.000120994104,0.000002029006,0.0000067048227,0.000020754305,0.0000015161118,0.0011669645],"genre_scores_gemma":[0.9996747,0.000078016754,0.000046247427,0.000012030859,0.0000021776812,0.0000034948646,0.000023813744,5.164166e-7,0.00015912033],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99841,0.00040044053,0.00013387493,0.00009599992,0.0006848578,0.00027485334],"domain_scores_gemma":[0.9800963,0.005495739,0.008255441,0.0005647197,0.002487196,0.0031005975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002036019,0.00006010465,0.0001284387,0.0011673472,0.0005866572,0.0014336878,0.00041573466,0.0004530056,0.0008473392],"category_scores_gemma":[0.015361871,0.0000768001,0.0001264173,0.0010596743,0.0008997417,0.00076941354,0.0010175931,0.0004352769,0.00014526988],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007378513,0.00013668538,0.9799716,0.000022960448,0.000014352819,0.00007528412,0.003834241,0.00006838263,0.00023990247,0.0001462765,0.00012169834,0.015294877],"study_design_scores_gemma":[0.0000016459859,0.000057083034,0.99568933,0.000009586399,0.0000023815305,0.00004346041,0.00366837,0.000077744575,0.00003562911,0.000074333744,0.00033728074,0.0000030605715],"about_ca_topic_score_codex":0.024111997,"about_ca_topic_score_gemma":0.05742966,"teacher_disagreement_score":0.024111997,"about_ca_system_score_codex":0.0016028853,"about_ca_system_score_gemma":0.0017705187,"threshold_uncertainty_score":0.047943294},"labels":[],"label_agreement":null},{"id":"W210927","doi":"10.1016/j.euroecorev.2017.06.010","title":"Property rights, extortion and the misallocation of talent","year":2017,"lang":"en","type":"article","venue":"European Economic Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Extortion; Entrepreneurship; Economics; Capital (architecture); Property rights; Obstacle; Property (philosophy); Microeconomics; Law; Finance; Political science; Geography","score_opus":0.048475783975254,"score_gpt":0.24489605239139384,"score_spread":0.19642026841613985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W210927","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26764324,0.5997239,0.011684211,0.022739178,0.000577405,0.000029425824,0.0004201628,0.00003551606,0.09714695],"genre_scores_gemma":[0.8663832,0.12337654,0.00077166245,0.0007192517,0.00083802675,0.000018061302,0.00012696502,0.000015779422,0.0077505223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981743,0.00080273306,0.00011631615,0.00017240028,0.00048837875,0.0002458091],"domain_scores_gemma":[0.98679775,0.008375138,0.0026081237,0.00072862156,0.001095217,0.00039516814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046528326,0.0002993003,0.00076699007,0.0023707636,0.00043585073,0.0034455815,0.00075661304,0.0018156689,0.0066370084],"category_scores_gemma":[0.013800809,0.00015644457,0.00040154878,0.003543443,0.004353618,0.0054235007,0.0014039796,0.0010643521,0.00059458363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042363498,0.00023221428,0.017708257,0.0013646423,0.0003316424,0.0003901121,0.0006070907,0.017166791,0.0009527162,0.7203303,0.012045562,0.228447],"study_design_scores_gemma":[0.0000741977,0.00016187206,0.0450724,0.00094781455,0.00014080919,0.0005550723,0.00065590924,0.0038269216,0.00071871787,0.8656889,0.08210756,0.000049667116],"about_ca_topic_score_codex":0.0023145117,"about_ca_topic_score_gemma":0.0019737065,"teacher_disagreement_score":0.0066370084,"about_ca_system_score_codex":0.0016380668,"about_ca_system_score_gemma":0.0015245359,"threshold_uncertainty_score":0.024606824},"labels":[],"label_agreement":null},{"id":"W2110291851","doi":"","title":"Innovation and Training in New Firms","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Service (business); Business; Population; Industrial organization; Marketing; Labour economics; Economics; Economic growth","score_opus":0.08497543342801991,"score_gpt":0.30763846016200086,"score_spread":0.22266302673398095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110291851","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18871525,0.016562056,0.0030294363,0.028948119,0.00044466386,0.00009632235,0.00029801152,0.000042540592,0.76186365],"genre_scores_gemma":[0.9248271,0.0077442154,0.0010598901,0.0013086031,0.00041969007,0.00007214934,0.00012479824,0.000008032319,0.064435385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99862623,0.00050774176,0.00005344893,0.00015202415,0.000277444,0.0003830411],"domain_scores_gemma":[0.99493426,0.0023257602,0.0008490314,0.00026540938,0.00045262201,0.0011730541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014751703,0.00010040523,0.00023327881,0.00146365,0.0016210382,0.0034181904,0.00038837362,0.0013096636,0.013102859],"category_scores_gemma":[0.004900641,0.00008563085,0.00016662752,0.0018819046,0.0029440555,0.0026599132,0.0017405562,0.0010959327,0.00096831773],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049942202,0.00030777184,0.024297329,0.00031094794,0.000014164194,0.000667893,0.006800393,0.0019173954,0.00027137634,0.7968832,0.020196855,0.14828268],"study_design_scores_gemma":[0.000044020973,0.000205483,0.109807774,0.0010563141,0.000013154267,0.00066070835,0.0088131465,0.0029146094,0.0004890179,0.26858017,0.60736793,0.000047662757],"about_ca_topic_score_codex":0.007050721,"about_ca_topic_score_gemma":0.009841619,"teacher_disagreement_score":0.013102859,"about_ca_system_score_codex":0.004285969,"about_ca_system_score_gemma":0.0037759875,"threshold_uncertainty_score":0.043833435},"labels":[],"label_agreement":null},{"id":"W2111200289","doi":"10.1111/j.1540-5982.2006.00386.x","title":"Unionization and plant closure in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Closure (psychology); Closing (real estate); Collective bargaining; Demographic economics; Political science; Economics; Law","score_opus":0.07304754819312552,"score_gpt":0.13844834942673367,"score_spread":0.06540080123360816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111200289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882188,0.00073174154,0.00046609747,0.00097474584,0.000024045978,0.000026714886,0.0027364993,0.000025660454,0.006795669],"genre_scores_gemma":[0.99633706,0.00021128006,0.00009027425,0.000046092053,0.0000065204135,0.0000051286997,0.0009096185,0.00000486762,0.002389123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982362,0.000098976794,0.000047821854,0.00017675021,0.0006553347,0.000784954],"domain_scores_gemma":[0.98832184,0.0016974286,0.0037130078,0.00034972277,0.0027542308,0.0031637847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011500245,0.00012721104,0.0005014008,0.0017012521,0.0031945428,0.0016330804,0.000953569,0.000556096,0.00631698],"category_scores_gemma":[0.007540198,0.00017108356,0.00040485009,0.0034269923,0.0010218195,0.0003746413,0.001298217,0.0011987248,0.0002091976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021778511,0.00007741189,0.96448684,0.000066474066,0.00006912295,0.0002715743,0.0023764686,0.0021876148,0.0005005077,0.00294065,0.0051425947,0.021662885],"study_design_scores_gemma":[0.000008848348,0.000023788776,0.99077773,0.00004488349,0.000012202035,0.000051381896,0.0023478176,0.0011555343,0.00018609494,0.00030791116,0.005068842,0.00001500252],"about_ca_topic_score_codex":0.9818641,"about_ca_topic_score_gemma":0.9877878,"teacher_disagreement_score":0.019298472,"about_ca_system_score_codex":0.019298472,"about_ca_system_score_gemma":0.024311213,"threshold_uncertainty_score":0.14002085},"labels":[],"label_agreement":null},{"id":"W2111336458","doi":"10.3968/j.css.1923669720090504.010","title":"The Situations and Considerations on the Development of the Service Economy in China","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Service economy; China; Service (business); Tertiary sector of the economy; Economy; Promotion (chess); Context (archaeology); Business; Post-industrial economy; Information economy; Planned economy; Government (linguistics); World economy; Economic system; Economics; Political science","score_opus":0.030915135712384027,"score_gpt":0.21730544544850977,"score_spread":0.18639030973612575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111336458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79337347,0.004378266,0.001203448,0.021860678,0.000119943936,0.000052691124,0.00017801531,0.000021315955,0.17881218],"genre_scores_gemma":[0.98981094,0.002586391,0.00032419906,0.0003703006,0.000037094618,0.000013358176,0.000041133997,0.0000029594087,0.006813661],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991985,0.00018502737,0.000046581594,0.00005115568,0.00015773793,0.00036106072],"domain_scores_gemma":[0.9996505,0.000053123742,0.00007250844,0.000010257105,0.00009540494,0.00011824521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070033263,0.00022059101,0.00009496668,0.0012972734,0.0027676404,0.0022995742,0.000291601,0.0006695272,0.0035946816],"category_scores_gemma":[0.00075997866,0.00012187788,0.00028485234,0.0015673724,0.0016585689,0.0014995314,0.0015838796,0.00070860534,0.00014721754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115274015,0.00007371791,0.16454738,0.00043363165,0.000040573606,0.007458751,0.027993197,0.003573799,0.0032833328,0.71550095,0.014526113,0.06245334],"study_design_scores_gemma":[0.000026937423,0.00013063602,0.4595081,0.0005912645,0.000086377084,0.0023648292,0.06761309,0.00629466,0.0032833389,0.094178334,0.3657772,0.00014523038],"about_ca_topic_score_codex":0.05831881,"about_ca_topic_score_gemma":0.050763823,"teacher_disagreement_score":0.05831881,"about_ca_system_score_codex":0.008691411,"about_ca_system_score_gemma":0.00806293,"threshold_uncertainty_score":0.11595869},"labels":[],"label_agreement":null},{"id":"W2111629578","doi":"10.1016/j.foodpol.2009.10.003","title":"Innovation and integration in the agri-food industry","year":2009,"lang":"en","type":"article","venue":"Food Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Vertical integration; Industrial organization; Danish; Food sector; Business; Poisson regression; Poisson distribution; Food industry; Marketing; Economic geography; Economics","score_opus":0.05173149473464248,"score_gpt":0.26043323911555843,"score_spread":0.20870174438091596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111629578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94126964,0.010273296,0.009249473,0.012283425,0.00011960879,0.00005897013,0.00015623451,0.0000631082,0.02652624],"genre_scores_gemma":[0.995359,0.0016544018,0.00037820564,0.00023236065,0.0001362091,0.000011034752,0.00004457578,0.0000037552911,0.0021804692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978946,0.0007739115,0.00010344062,0.00026863048,0.00025357227,0.0007057803],"domain_scores_gemma":[0.97914255,0.0134782465,0.003916859,0.00046780345,0.0011160023,0.0018785796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005006461,0.0005054698,0.0013189657,0.0031780407,0.0014775392,0.00512906,0.00068270357,0.0036866106,0.0050547607],"category_scores_gemma":[0.014246667,0.00029020346,0.001032805,0.0040068342,0.0040229615,0.0054693758,0.0033549375,0.0023868347,0.00035657268],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015856212,0.0019442571,0.28974578,0.0004806952,0.0005502936,0.0020442398,0.0020405138,0.14702618,0.002301353,0.4364524,0.0047999616,0.11102867],"study_design_scores_gemma":[0.00029326236,0.00068806176,0.2279954,0.00048058046,0.00040827895,0.00047481124,0.0049065882,0.10758963,0.0019108725,0.6421027,0.013017237,0.0001325867],"about_ca_topic_score_codex":0.014677971,"about_ca_topic_score_gemma":0.013266725,"teacher_disagreement_score":0.014677971,"about_ca_system_score_codex":0.005743269,"about_ca_system_score_gemma":0.0026876915,"threshold_uncertainty_score":0.0416705},"labels":[],"label_agreement":null},{"id":"W2111910167","doi":"10.1257/jep.20.3.3","title":"The Flow Approach to Labor Markets: New Data Sources and Micro–Macro Links","year":2006,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":449,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Unemployment; Economics; Business cycle; Unemployment rate; Job creation; Macro; Macroeconomics; Geography","score_opus":0.0286404716597823,"score_gpt":0.23102135339338778,"score_spread":0.20238088173360547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111910167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15277372,0.008388185,0.40814736,0.018930787,0.001188059,0.00191187,0.3570531,0.0023307286,0.0492762],"genre_scores_gemma":[0.41748154,0.008632682,0.35503855,0.0025575266,0.0020776778,0.0067559117,0.19335586,0.0007788,0.013321455],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99302155,0.003290893,0.0009012641,0.00086876925,0.0017215852,0.00019608586],"domain_scores_gemma":[0.9784733,0.01092638,0.003122828,0.004129566,0.0026982278,0.00064967404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009322049,0.00053355424,0.00070292363,0.009423061,0.0008185086,0.003900023,0.0014663788,0.0008040943,0.008530607],"category_scores_gemma":[0.02699881,0.00064212317,0.00066952145,0.020115137,0.00075991784,0.0061954437,0.003122416,0.0022227396,0.0021668607],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035325834,0.00057212927,0.2893825,0.0010003112,0.00036410024,0.00022365815,0.0023944143,0.009988361,0.00085345353,0.16454937,0.102394305,0.4279242],"study_design_scores_gemma":[0.0002266844,0.0003265821,0.26818636,0.0009981673,0.00028777157,0.00035479717,0.0026643104,0.04783492,0.001719015,0.16409454,0.5130155,0.0002912865],"about_ca_topic_score_codex":0.017712215,"about_ca_topic_score_gemma":0.012499466,"teacher_disagreement_score":0.017712215,"about_ca_system_score_codex":0.0017461393,"about_ca_system_score_gemma":0.0020340842,"threshold_uncertainty_score":0.049300313},"labels":[],"label_agreement":null},{"id":"W2113021528","doi":"","title":"The Effect of Technology Choice on Automobile Assembly Plant Productivity","year":2002,"lang":"en","type":"article","venue":"Lirias (KU Leuven)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Productivity; Production (economics); Automotive industry; Decomposition; Industrial organization; Function (biology); Productivity model; Economics; Panel data; Aggregate (composite); Multifactor productivity; Technical change; Econometrics; Total factor productivity; Microeconomics; Engineering; Macroeconomics","score_opus":0.022038921365242437,"score_gpt":0.2155348415619221,"score_spread":0.19349592019667966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113021528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956737,0.0003043209,0.0007395348,0.0004611231,0.000011712287,0.000014502881,0.0011866973,0.00002617072,0.0015820382],"genre_scores_gemma":[0.99717015,0.00012781247,0.00012618098,0.00003400143,0.000010398015,0.000009109661,0.00066697877,0.0000044090657,0.001851026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981711,0.00079962076,0.00009099221,0.00033689072,0.00017349324,0.00042786778],"domain_scores_gemma":[0.9684579,0.0217007,0.0063413447,0.0012014442,0.00080508937,0.0014934293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025872297,0.00039300814,0.00041099289,0.0008115175,0.0004034119,0.0018147686,0.0005402265,0.0010727252,0.012013976],"category_scores_gemma":[0.012932227,0.0003081729,0.0007947327,0.0015771039,0.0007079634,0.0006911729,0.0009489377,0.001537043,0.0013398054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010793419,0.0003422477,0.9465832,0.000076898985,0.00050453504,0.0002578068,0.00026618666,0.031583153,0.0011650984,0.0015259777,0.001935576,0.0146800205],"study_design_scores_gemma":[0.00013275894,0.00057358725,0.97057706,0.000048161957,0.00032818038,0.0001047502,0.00050120434,0.020401062,0.0024850462,0.0018929439,0.002912754,0.000042447526],"about_ca_topic_score_codex":0.021513842,"about_ca_topic_score_gemma":0.021084778,"teacher_disagreement_score":0.021513842,"about_ca_system_score_codex":0.0019960108,"about_ca_system_score_gemma":0.00076034124,"threshold_uncertainty_score":0.04277724},"labels":[],"label_agreement":null},{"id":"W2113215050","doi":"10.19030/jber.v8i9.764","title":"Profitability Performance And Firm Size-Growth Relationship","year":2010,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Profitability index; Span (engineering); Style (visual arts); Equity (law); Economics; Mathematics; Art; Political science; Engineering; Literature; Finance","score_opus":0.08921283937514855,"score_gpt":0.294385824834665,"score_spread":0.20517298545951645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113215050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911494,0.00014237704,0.0001732665,0.00050895044,0.000006889505,0.000009972252,0.00036044916,0.000023377263,0.007625315],"genre_scores_gemma":[0.9974643,0.000062716616,0.000040275445,0.000033224536,0.000012744159,0.000004328842,0.0002910388,0.0000034425095,0.0020879481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962664,0.0000944631,0.000023621069,0.000074382624,0.00007973997,0.00010124095],"domain_scores_gemma":[0.9805561,0.010455,0.006057783,0.00041326668,0.00070512615,0.0018128128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059697794,0.00014797146,0.00014923069,0.000823682,0.00022203114,0.0011415156,0.00029725736,0.00067945226,0.012076571],"category_scores_gemma":[0.007626293,0.00008309753,0.00021665887,0.00082583376,0.00046899906,0.000737664,0.00047519093,0.0006507185,0.0016661024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070772556,0.00011405212,0.99092686,0.000011099954,0.0000337095,0.00024583135,0.00012760874,0.00106976,0.0004380057,0.0011529798,0.0010075865,0.004801802],"study_design_scores_gemma":[0.0000049142336,0.000092471964,0.99563473,0.000009301036,0.000017007102,0.00017298639,0.00032072328,0.0020231209,0.00035291474,0.0004189692,0.0009455244,0.0000074477502],"about_ca_topic_score_codex":0.0066172825,"about_ca_topic_score_gemma":0.007241408,"teacher_disagreement_score":0.012076571,"about_ca_system_score_codex":0.0005551399,"about_ca_system_score_gemma":0.00038943157,"threshold_uncertainty_score":0.040400088},"labels":[],"label_agreement":null},{"id":"W2113484731","doi":"10.3917/riges.281.0046","title":"Alliances, innovation et compétences : la croissance des entreprises spécialisées dans la biotechnologie humaine","year":2003,"lang":"fr","type":"article","venue":"Gestion","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.05942030088029111,"score_gpt":0.2694645906252091,"score_spread":0.210044289744918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113484731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937664,0.0041246642,0.006568699,0.0019979102,0.000015552589,0.000040957166,0.0001068047,0.000021730915,0.049459785],"genre_scores_gemma":[0.99231064,0.00093983626,0.0010540945,0.000048088623,0.000008181753,0.000011343358,0.00003320807,0.000002154083,0.0055924244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917966,0.00028631216,0.000029603141,0.000099607685,0.00022811216,0.00017666657],"domain_scores_gemma":[0.9947115,0.0022256204,0.0015527253,0.00017991515,0.00062957476,0.00070076645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019568931,0.00015924667,0.00025005752,0.0017257442,0.0012037209,0.0028143907,0.00023796153,0.0007635531,0.0058158473],"category_scores_gemma":[0.005291657,0.000119671815,0.0001980529,0.0018562698,0.0024241023,0.0019001847,0.0012664727,0.0006343482,0.00045865576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032946054,0.0002861674,0.34911972,0.0007285781,0.0002040245,0.002242777,0.04972012,0.010880631,0.010923467,0.2715762,0.0031358323,0.3008531],"study_design_scores_gemma":[0.000050004608,0.00035149013,0.71542084,0.00062525884,0.00014462692,0.0016103132,0.04883732,0.010565889,0.0041504963,0.11000679,0.10814811,0.00008882953],"about_ca_topic_score_codex":0.042123336,"about_ca_topic_score_gemma":0.049477506,"teacher_disagreement_score":0.042123336,"about_ca_system_score_codex":0.0035283742,"about_ca_system_score_gemma":0.00348779,"threshold_uncertainty_score":0.08375633},"labels":[],"label_agreement":null},{"id":"W2113691376","doi":"10.2139/ssrn.1123969","title":"Knowledge Transfers between Canadian Business Enterprises and Universities: Does Distance Matter?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Knowledge transfer; Absorptive capacity; Business; Geographical distance; Control (management); Knowledge flow; Survey data collection; Affect (linguistics); Selection bias; Industrial organization; Economics; Knowledge management; Statistics; Management; Sociology","score_opus":0.011757115710286975,"score_gpt":0.19132605567353844,"score_spread":0.17956893996325146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113691376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86388654,0.0027551246,0.0006730171,0.02775686,0.000104934166,0.000077996374,0.0013197585,0.00003893544,0.10338686],"genre_scores_gemma":[0.99252856,0.00049804593,0.000073827134,0.0005972064,0.000025056255,0.000009498428,0.00016888372,0.000006079538,0.0060929493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99353164,0.0008476117,0.00016727361,0.0004052172,0.0020093108,0.0030390583],"domain_scores_gemma":[0.9676732,0.010010617,0.004393703,0.00083465374,0.009988736,0.0070990915],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003973772,0.00022531899,0.00057293935,0.0026315337,0.008013525,0.008292453,0.00165217,0.0020643352,0.01958345],"category_scores_gemma":[0.03344098,0.00018765441,0.00047417945,0.0055603986,0.003691574,0.0051808287,0.004066295,0.002021199,0.00081410515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016401256,0.00081229635,0.62805426,0.00037298715,0.0003477327,0.0010050054,0.031165216,0.0051390147,0.0007717396,0.11032904,0.044034828,0.1763278],"study_design_scores_gemma":[0.00017787912,0.00016113115,0.8565868,0.00043906094,0.0002710171,0.00015028604,0.07192068,0.0018472185,0.0008558302,0.016349528,0.051100507,0.00014003832],"about_ca_topic_score_codex":0.9634447,"about_ca_topic_score_gemma":0.9751865,"teacher_disagreement_score":0.99198645,"about_ca_system_score_codex":0.050398685,"about_ca_system_score_gemma":0.06499784,"threshold_uncertainty_score":0.3656698},"labels":[],"label_agreement":null},{"id":"W2114308128","doi":"10.7202/1030480ar","title":"Efficacité des mécanismes de gouvernance des PME","year":2015,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Chemistry; Philosophy; Physics","score_opus":0.035868540214365446,"score_gpt":0.2513351208015831,"score_spread":0.21546658058721765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114308128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909887,0.0011981834,0.004239988,0.000256984,0.000028368693,0.000066077926,0.00080557767,0.00003393899,0.0023822654],"genre_scores_gemma":[0.99555284,0.00038385834,0.0026547387,0.000036040437,0.000010824894,0.000054366366,0.0004348337,0.000011863992,0.0008606387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969079,0.0012044979,0.00019793381,0.0007544283,0.00047269324,0.00046250888],"domain_scores_gemma":[0.98501474,0.009832792,0.0030295437,0.000810751,0.000870044,0.00044223285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004757988,0.0010518789,0.0008327188,0.001174928,0.00073507987,0.0019182466,0.0007110226,0.0009019837,0.0034730185],"category_scores_gemma":[0.014358582,0.00039970432,0.0012987215,0.0018451421,0.0011436332,0.00175795,0.0015971259,0.0008074682,0.00044690713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021808299,0.000059498845,0.9728074,0.00036048386,0.00049593695,0.00019855848,0.0013970009,0.004129684,0.0022603706,0.0009647527,0.00019605552,0.016912185],"study_design_scores_gemma":[0.000005552062,0.00023454938,0.9895041,0.00011382648,0.00015972972,0.00008833717,0.0020264566,0.0036316116,0.0009839964,0.00078798586,0.0024384998,0.000025430743],"about_ca_topic_score_codex":0.027373856,"about_ca_topic_score_gemma":0.03555047,"teacher_disagreement_score":0.027373856,"about_ca_system_score_codex":0.001627949,"about_ca_system_score_gemma":0.0017360986,"threshold_uncertainty_score":0.054429054},"labels":[],"label_agreement":null},{"id":"W2118278786","doi":"10.7202/1008692ar","title":"Agressivité concurrentielle, taille de l’entreprise et performance","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Mathematics; Art","score_opus":0.023877255987119737,"score_gpt":0.24734348295828482,"score_spread":0.22346622697116508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118278786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770363,0.0032096729,0.0042919293,0.0003359428,0.000025203259,0.000029019648,0.00033541687,0.000032162865,0.014704423],"genre_scores_gemma":[0.99098516,0.0019695219,0.0019484495,0.00007197828,0.00006416746,0.00003165953,0.0003488703,0.0000184171,0.0045617227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979627,0.0003745589,0.00014953328,0.00046697992,0.00082549226,0.00022072901],"domain_scores_gemma":[0.9708265,0.017835911,0.0066125165,0.0012315651,0.0025035695,0.0009898199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033018761,0.00066306035,0.0006453681,0.0016627896,0.0005391244,0.0044124336,0.00042564495,0.0014074282,0.006744408],"category_scores_gemma":[0.012915414,0.00030216743,0.0008431511,0.0024507293,0.0015129938,0.0023309882,0.0012593727,0.0011140779,0.0013148467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006924935,0.0007438158,0.8571354,0.00060345285,0.0005231497,0.0005568522,0.0024672372,0.004463559,0.016350046,0.006711934,0.00061960565,0.109132454],"study_design_scores_gemma":[0.000021501299,0.0009545089,0.9706553,0.0001401021,0.0002532365,0.00090277335,0.0016675604,0.0033736506,0.0071877684,0.007064162,0.0077041765,0.00007521199],"about_ca_topic_score_codex":0.003495379,"about_ca_topic_score_gemma":0.0049454654,"teacher_disagreement_score":0.006744408,"about_ca_system_score_codex":0.0008804959,"about_ca_system_score_gemma":0.0008000794,"threshold_uncertainty_score":0.022562325},"labels":[],"label_agreement":null},{"id":"W2118591077","doi":"","title":"Growth and Internationalization Strategies of Rapidly Growing and Internationalizing Enterprises from Canada and Finland","year":2009,"lang":"en","type":"article","venue":"ASAC","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Internationalization; Business; International trade","score_opus":0.0122233160580598,"score_gpt":0.2016277966433493,"score_spread":0.1894044805852895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118591077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99149454,0.00052955677,0.000059342365,0.00025973129,0.000004038333,0.000010730322,0.00063800387,0.0000044814196,0.0069995653],"genre_scores_gemma":[0.9961063,0.00035368925,0.000069210066,0.000019061812,0.0000018775122,0.0000038107926,0.0006395778,0.0000023128132,0.0028040118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992385,0.000033322704,0.000022920556,0.00006951515,0.00013473434,0.0005010349],"domain_scores_gemma":[0.9977992,0.0002804175,0.00024508228,0.000037978294,0.0009753699,0.0006619065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006723477,0.0002650089,0.00030717032,0.0029483188,0.0030283474,0.0040903534,0.00070158986,0.00059549673,0.0017865654],"category_scores_gemma":[0.0022590174,0.00012444743,0.00034216655,0.0056785066,0.00090736424,0.0011214612,0.0014088945,0.0007697498,0.00018606869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001000415,0.00022750009,0.84688777,0.00018929526,0.00013926325,0.0026786374,0.037341177,0.010745043,0.0020260434,0.022540646,0.0074705686,0.06875368],"study_design_scores_gemma":[0.000018988816,0.00006147268,0.92136174,0.00009828414,0.00009297283,0.00024929867,0.056131843,0.0043696007,0.001518765,0.0007394531,0.0152994925,0.000058066],"about_ca_topic_score_codex":0.972853,"about_ca_topic_score_gemma":0.9810937,"teacher_disagreement_score":0.028879585,"about_ca_system_score_codex":0.028879585,"about_ca_system_score_gemma":0.029557502,"threshold_uncertainty_score":0.20953703},"labels":[],"label_agreement":null},{"id":"W2118698759","doi":"10.1142/9789812833679_0022","title":"Productivity Trends and Employment Across Industries in Canada","year":2001,"lang":"en","type":"preprint","venue":"WORLD SCIENTIFIC eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contradiction; Economics; Productivity; Welfare economics; Relative price; Monetary economics; Philosophy; Economic growth","score_opus":0.06042190116955309,"score_gpt":0.24752772318459718,"score_spread":0.18710582201504408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118698759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97637445,0.0017704311,0.00019556232,0.0011755256,0.00002346062,0.000019110928,0.010103392,0.000035527122,0.0103025315],"genre_scores_gemma":[0.98899883,0.0012255163,0.0002030974,0.00009571681,0.000009928916,0.000010287053,0.0026251695,0.000008848665,0.0068226233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991698,0.0000212826,0.00002963912,0.00009069701,0.00029513505,0.0003933665],"domain_scores_gemma":[0.99795014,0.00013973395,0.00031305323,0.00004632638,0.0011064982,0.00044438115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045201715,0.0002298023,0.00029217146,0.0041584037,0.002391185,0.0021275966,0.0007926018,0.00044367352,0.0035928322],"category_scores_gemma":[0.0023219846,0.00016412926,0.0003958534,0.011910363,0.000610491,0.0005342537,0.0009014119,0.0005448532,0.00035882177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011098503,0.000037801758,0.9509437,0.00008840494,0.00006579936,0.00019984071,0.0033694413,0.0011897178,0.00056613726,0.0025907357,0.003771514,0.03706591],"study_design_scores_gemma":[0.0000025653724,0.000010767074,0.98921204,0.000035733246,0.000014730155,0.000024578994,0.0026956284,0.000659328,0.000123971,0.00010323913,0.0071068895,0.000010509913],"about_ca_topic_score_codex":0.994942,"about_ca_topic_score_gemma":0.9971221,"teacher_disagreement_score":0.033288524,"about_ca_system_score_codex":0.033288524,"about_ca_system_score_gemma":0.04248023,"threshold_uncertainty_score":0.24152625},"labels":[],"label_agreement":null},{"id":"W2119396800","doi":"10.7202/1008698ar","title":"Diversité et unité des entreprises à forte croissance du secteur manufacturier en France","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.018567495025617373,"score_gpt":0.22898530891953744,"score_spread":0.21041781389392006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119396800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806567,0.0018410638,0.0029495377,0.0009483494,0.00003230887,0.00003676161,0.0005355906,0.000046124256,0.012953645],"genre_scores_gemma":[0.99001503,0.0009329035,0.0019871509,0.00014414759,0.000024803843,0.000038479866,0.00043037557,0.000021589365,0.0064055943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954495,0.0011895197,0.00025466908,0.00076188555,0.0016603769,0.0006840589],"domain_scores_gemma":[0.9849984,0.006190654,0.0041759787,0.0005197325,0.003022262,0.0010929686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00461031,0.00039360955,0.00035243726,0.0034129752,0.00175728,0.003377399,0.000595264,0.00084050803,0.006966464],"category_scores_gemma":[0.009621613,0.00024072433,0.00050938973,0.003918278,0.0009434389,0.0015359385,0.0010883486,0.0008304952,0.001033051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022780609,0.00014619256,0.775353,0.00055071776,0.00023929945,0.0010275779,0.043906108,0.0017615877,0.0031662437,0.009958092,0.004606558,0.15905674],"study_design_scores_gemma":[0.000005703774,0.00022566559,0.94055194,0.00016384157,0.000043009797,0.00036831095,0.024521198,0.0007950917,0.0007257368,0.00066980027,0.031892996,0.000036676556],"about_ca_topic_score_codex":0.056100648,"about_ca_topic_score_gemma":0.065080374,"teacher_disagreement_score":0.056100648,"about_ca_system_score_codex":0.005414671,"about_ca_system_score_gemma":0.0033920861,"threshold_uncertainty_score":0.111548185},"labels":[],"label_agreement":null},{"id":"W2120551752","doi":"10.4236/ti.2010.11006","title":"On the Ideal Duration of Entrepreneurial Resources Commitment","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Duration (music); Ideal (ethics); Trait; Dimension (graph theory); Perception; Macro; Separate spheres; Term (time); Economics; Business; Marketing; Psychology; Political science; Computer science; Mathematics; Politics","score_opus":0.016394898547886456,"score_gpt":0.20068648897757707,"score_spread":0.18429159042969062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120551752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8481489,0.0011447497,0.08741527,0.0016166159,0.000116939525,0.000053944525,0.00032099773,0.00004799692,0.061134446],"genre_scores_gemma":[0.9971846,0.000107284584,0.0022386785,0.000021578111,0.000022848657,0.000017165401,0.00004361822,0.0000073901083,0.000356886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839264,0.00072554115,0.00010970928,0.00027322254,0.0002934394,0.0002053805],"domain_scores_gemma":[0.98481154,0.009309321,0.0025488192,0.0007547009,0.0009937348,0.0015818336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031809788,0.00015561616,0.00019512395,0.00091474055,0.00042766833,0.0024893389,0.00043953233,0.00042861316,0.003710019],"category_scores_gemma":[0.018945448,0.0001344017,0.00024419438,0.00070808793,0.0019936468,0.0024195265,0.0013903852,0.0007444939,0.00022443905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000971987,0.00021370238,0.1501801,0.0002176685,0.00010733996,0.0005624979,0.012553659,0.01861494,0.0028873498,0.72952527,0.001642603,0.08252295],"study_design_scores_gemma":[0.00007381411,0.0007009943,0.37511545,0.00031357893,0.0000718442,0.0009774095,0.010873169,0.06744044,0.0015692486,0.52410084,0.018554438,0.00020877787],"about_ca_topic_score_codex":0.0009770655,"about_ca_topic_score_gemma":0.0006632329,"teacher_disagreement_score":0.003710019,"about_ca_system_score_codex":0.0009933459,"about_ca_system_score_gemma":0.00048436012,"threshold_uncertainty_score":0.016822815},"labels":[],"label_agreement":null},{"id":"W2121402323","doi":"10.1287/mnsc.1110.1507","title":"Firm Survival and Industry Evolution in Vertically Related Populations","year":2012,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Upstream (networking); Corporate governance; Downstream (manufacturing); Industrial organization; Affect (linguistics); Upstream and downstream (DNA); Vertical integration; Business; Marketing; Telecommunications; Sociology; Engineering","score_opus":0.051147200475130224,"score_gpt":0.2532579585254937,"score_spread":0.2021107580503635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121402323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853027,0.00007124396,0.00057195674,0.00006497311,0.0000011199079,0.0000021178794,0.000014819534,0.000002157613,0.0007414075],"genre_scores_gemma":[0.9994696,0.000029137718,0.00012151269,0.000009319051,0.000002299355,0.0000016779835,0.000030320776,8.092004e-7,0.00033537837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999524,0.00013735291,0.000021022448,0.00012702533,0.00005388757,0.00013684455],"domain_scores_gemma":[0.99440306,0.0022180066,0.0018799481,0.0003311425,0.00042871237,0.00073911034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987105,0.00012787167,0.00023580935,0.0008875825,0.00060213916,0.0011861636,0.00030432883,0.0005340508,0.0031232329],"category_scores_gemma":[0.009436602,0.00014567841,0.00019461485,0.0006229402,0.00086698163,0.0012465543,0.0011873217,0.00057389337,0.0002294319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011347536,0.00012745376,0.95283675,0.000016883601,0.000096848235,0.00035780764,0.0011673012,0.00741078,0.003125812,0.010745404,0.00032835247,0.0236731],"study_design_scores_gemma":[0.000033585493,0.00025255125,0.9538993,0.000017053118,0.00006666025,0.0005301083,0.0026643141,0.024826027,0.00076514843,0.015798906,0.0011210508,0.000025189756],"about_ca_topic_score_codex":0.0044206525,"about_ca_topic_score_gemma":0.005469967,"teacher_disagreement_score":0.0044206525,"about_ca_system_score_codex":0.0005673738,"about_ca_system_score_gemma":0.00022255657,"threshold_uncertainty_score":0.010448217},"labels":[],"label_agreement":null},{"id":"W2122085492","doi":"","title":"Firm Dynamics Support the Importance of the Embodied Question","year":2009,"lang":"en","type":"article","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Embodied cognition; Imitation; Economics; Productivity; Investment (military); Industrial organization; Technical progress; Capital (architecture); Distribution (mathematics); Selection (genetic algorithm); Dynamics (music); Microeconomics; Macroeconomics; Computer science; Sociology; Psychology","score_opus":0.0066645036619814415,"score_gpt":0.21112340794895748,"score_spread":0.20445890428697605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122085492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7621634,0.00131257,0.15594459,0.00529608,0.00008264434,0.00004918625,0.00052776164,0.0001786966,0.0744451],"genre_scores_gemma":[0.99558145,0.00024738943,0.001912538,0.00007327219,0.00003664572,0.0000064747105,0.00005566344,0.000011433422,0.0020749883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994677,0.000116831645,0.000022760729,0.00019487852,0.000119477285,0.00007842688],"domain_scores_gemma":[0.98688555,0.008029748,0.0027521248,0.001283394,0.0006153251,0.00043396317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142542,0.0003304396,0.00061020313,0.00055283343,0.0005638422,0.0018122913,0.0008402826,0.0011977404,0.011506229],"category_scores_gemma":[0.010630051,0.00017111751,0.00053794816,0.00067833974,0.0018018151,0.0051567163,0.0016975146,0.0012945099,0.00094230974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016996483,0.000125162,0.033780966,0.00024076558,0.000098172786,0.0007459335,0.0013167161,0.08504832,0.0037875054,0.8178337,0.0017072699,0.055145495],"study_design_scores_gemma":[0.00006821032,0.00017204652,0.037188854,0.00009580654,0.000063002706,0.00048239122,0.0008114492,0.11317189,0.002584354,0.83099854,0.014311153,0.000052234314],"about_ca_topic_score_codex":0.0014380408,"about_ca_topic_score_gemma":0.0009378921,"teacher_disagreement_score":0.011506229,"about_ca_system_score_codex":0.0008213968,"about_ca_system_score_gemma":0.00050294254,"threshold_uncertainty_score":0.038492143},"labels":[],"label_agreement":null},{"id":"W2122997571","doi":"10.7202/045622ar","title":"Internationalization performance revisited: the impact of age and speed on sales growth*","year":2011,"lang":"en","type":"article","venue":"Management international","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internationalization; Process (computing); Business; Yield (engineering); Industrial organization; Economic geography; Economics; International trade; Computer science","score_opus":0.04722552574096653,"score_gpt":0.24407137792366115,"score_spread":0.19684585218269463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122997571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893912,0.0005552069,0.0011922645,0.00036571352,0.00002104222,0.000012365305,0.00027591255,0.000019135401,0.008167167],"genre_scores_gemma":[0.99888295,0.00013938865,0.00024743789,0.000017394636,0.000025992884,0.00000485134,0.000116640535,0.0000080621785,0.00055730424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989073,0.00033893078,0.000104592364,0.0001634555,0.00023004298,0.00025562878],"domain_scores_gemma":[0.9738052,0.015738757,0.0057360884,0.0013784517,0.0016023002,0.0017392033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037472963,0.00045034327,0.0004878885,0.0021922146,0.00037472238,0.002374713,0.0003522631,0.00055737543,0.0054527256],"category_scores_gemma":[0.015793305,0.0001136034,0.0007011631,0.002417803,0.0011732287,0.0027022697,0.0016214001,0.0010066532,0.0008072982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054376863,0.0000967289,0.9478305,0.000055843277,0.00012031346,0.00016138688,0.0008592575,0.0021622838,0.0006965464,0.006637612,0.00055224454,0.040283374],"study_design_scores_gemma":[0.000034250137,0.0008159597,0.9754596,0.000063125306,0.00016916374,0.00034008536,0.0020428651,0.0070160474,0.0018440444,0.008304521,0.0038690814,0.00004130733],"about_ca_topic_score_codex":0.0013865234,"about_ca_topic_score_gemma":0.0010042059,"teacher_disagreement_score":0.0054527256,"about_ca_system_score_codex":0.00030162517,"about_ca_system_score_gemma":0.0004089138,"threshold_uncertainty_score":0.01981783},"labels":[],"label_agreement":null},{"id":"W2124074056","doi":"10.1007/s11129-014-9147-5","title":"Identification and counterfactuals in dynamic models of market entry and exit","year":2014,"lang":"en","type":"article","venue":"Quantitative Marketing and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Counterfactual conditional; Normalization (sociology); Identification (biology); Econometrics; Market power; Computer science; Structural estimation; Oligopoly; Economics; Microeconomics; Cournot competition; Monopoly","score_opus":0.027259823213069582,"score_gpt":0.2348573544951949,"score_spread":0.20759753128212532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124074056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3652455,0.0016891855,0.61003274,0.006665169,0.00047792116,0.00017603529,0.0008132236,0.0008181278,0.014082096],"genre_scores_gemma":[0.9685392,0.00064578047,0.0205214,0.0002283473,0.00020678368,0.00014908408,0.000417265,0.00012588919,0.00916628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99654704,0.0022053614,0.00020662305,0.00045155056,0.00025951775,0.00032994756],"domain_scores_gemma":[0.93949217,0.05069718,0.005263804,0.0023067573,0.0013187161,0.0009213505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010886718,0.0011853137,0.0029408128,0.0019423288,0.0011939313,0.0065617464,0.00300917,0.0037780292,0.007282198],"category_scores_gemma":[0.06132243,0.0014657374,0.0018727516,0.0014329214,0.0035595736,0.0075935884,0.0029538625,0.0038088304,0.00048361186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024690997,0.00017807848,0.0041074674,0.00010404327,0.0001318903,0.00020292313,0.0003251069,0.25276607,0.00021508921,0.7300407,0.002471498,0.009210202],"study_design_scores_gemma":[0.00003732863,0.000019336865,0.00047193727,0.000022007913,0.000029885781,0.000035481782,0.000050317936,0.8059011,0.00011102496,0.19283709,0.00045853888,0.000025909903],"about_ca_topic_score_codex":0.007720776,"about_ca_topic_score_gemma":0.005456099,"teacher_disagreement_score":0.010886718,"about_ca_system_score_codex":0.0018339063,"about_ca_system_score_gemma":0.0020127315,"threshold_uncertainty_score":0.057575107},"labels":[],"label_agreement":null},{"id":"W2124223901","doi":"10.7202/602322ar","title":"Existe-t-il une prime salariale à l’innovation?","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Economics; Political science; Philosophy","score_opus":0.05824064899756439,"score_gpt":0.2510375108921014,"score_spread":0.192796861894537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124223901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6523459,0.0046232357,0.09809652,0.0667838,0.0006180242,0.00009682916,0.0005565978,0.0002536746,0.17662552],"genre_scores_gemma":[0.9845212,0.00087301043,0.004487378,0.0005904471,0.00019359995,0.00003289063,0.000053934386,0.000023138009,0.009224364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99773777,0.000777848,0.00006171206,0.0005212597,0.0004320661,0.00046925386],"domain_scores_gemma":[0.9848646,0.008498718,0.0023397133,0.0015275656,0.0012495482,0.001519851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004671222,0.00026056924,0.000632796,0.00094491837,0.0010687541,0.004985611,0.0006345399,0.0014477886,0.016107295],"category_scores_gemma":[0.027093237,0.00027138507,0.0004484306,0.0010000108,0.0047957515,0.0062217643,0.0014823759,0.00183638,0.0020626062],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003161839,0.00018870103,0.065838955,0.00046289994,0.00010083288,0.00043946668,0.0039200927,0.0035773683,0.0030111866,0.77730596,0.0064027854,0.13843559],"study_design_scores_gemma":[0.00008089416,0.00039714802,0.16377449,0.00044203093,0.00010513835,0.0010312058,0.0062590963,0.013062247,0.0042442847,0.7012775,0.109196395,0.00012949083],"about_ca_topic_score_codex":0.002492052,"about_ca_topic_score_gemma":0.002440405,"teacher_disagreement_score":0.016107295,"about_ca_system_score_codex":0.0022448602,"about_ca_system_score_gemma":0.002560246,"threshold_uncertainty_score":0.053884268},"labels":[],"label_agreement":null},{"id":"W2124381865","doi":"10.7202/601473ar","title":"Technologie et libre-échange : une complicité souhaitable","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.08730153051620981,"score_gpt":0.2592639619123259,"score_spread":0.1719624313961161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124381865","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18044263,0.13056041,0.03638593,0.20467341,0.001734301,0.00008392328,0.0014553628,0.00023601817,0.44442806],"genre_scores_gemma":[0.85057664,0.052954346,0.0074695316,0.0084799975,0.0016194338,0.00004299017,0.00048569395,0.00021402362,0.07815746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99514776,0.0013248681,0.0002332593,0.0008180659,0.0019265581,0.000549542],"domain_scores_gemma":[0.9686452,0.022312336,0.0019571052,0.0014788369,0.0046491353,0.0009573171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041522295,0.0003727377,0.00077351317,0.005759245,0.003304732,0.018163547,0.0012200588,0.003648042,0.03970334],"category_scores_gemma":[0.017604712,0.0003661156,0.0008417038,0.013973517,0.006943408,0.018067593,0.0035172396,0.0037659828,0.0027197835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013988919,0.00007491049,0.020982407,0.0008565341,0.00006122804,0.0010032525,0.006098576,0.0011040687,0.0013845741,0.8196063,0.021413472,0.12727484],"study_design_scores_gemma":[0.000014470716,0.00008281459,0.046511106,0.0012636796,0.0000791208,0.0020163003,0.0150038665,0.003031822,0.0046725217,0.2365745,0.6905741,0.00017583607],"about_ca_topic_score_codex":0.034314632,"about_ca_topic_score_gemma":0.03249159,"teacher_disagreement_score":0.03970334,"about_ca_system_score_codex":0.008663728,"about_ca_system_score_gemma":0.004043683,"threshold_uncertainty_score":0.1328209},"labels":[],"label_agreement":null},{"id":"W2125225302","doi":"10.3386/w15959","title":"Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry","year":2010,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Industrial organization; Market structure; Market share; Consolidation (business); Competition (biology); Stock (firearms); Economics; Business; Econometrics; Microeconomics; Marketing; Engineering","score_opus":0.11299024882726999,"score_gpt":0.4193904691177625,"score_spread":0.3064002202904925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125225302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895377,0.00077044574,0.0040196576,0.0009312069,0.000009595404,0.00001399716,0.0003920047,0.000023709115,0.0043016765],"genre_scores_gemma":[0.9980743,0.00028368944,0.00047587123,0.00003624817,0.000014262426,0.000007842118,0.00023546441,0.0000052562837,0.0008669789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998155,0.00004348949,0.0000069677476,0.000038147336,0.00003492267,0.00006103978],"domain_scores_gemma":[0.9978975,0.0010889199,0.0006560049,0.00007499409,0.00015757357,0.00012484391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006671234,0.00026800946,0.00042852064,0.0015929518,0.0003211569,0.0011410612,0.00040546825,0.00081345916,0.0027799362],"category_scores_gemma":[0.0043154256,0.00017781515,0.0006546879,0.001982232,0.00059491326,0.0014218483,0.00069967215,0.00071780913,0.00026706464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030801198,0.00040936816,0.4995561,0.0001872407,0.00037606526,0.0010979924,0.0009546517,0.3520643,0.004979241,0.08507657,0.003834388,0.051155977],"study_design_scores_gemma":[0.00011288892,0.00042202199,0.52988607,0.00007617438,0.00021822067,0.0004931312,0.001019043,0.4120329,0.002001442,0.042933367,0.010705195,0.000099639794],"about_ca_topic_score_codex":0.017408146,"about_ca_topic_score_gemma":0.015778873,"teacher_disagreement_score":0.017408146,"about_ca_system_score_codex":0.0012387496,"about_ca_system_score_gemma":0.0006725829,"threshold_uncertainty_score":0.03461361},"labels":[],"label_agreement":null},{"id":"W2125855884","doi":"10.7202/1008255ar","title":"Outils de gestion et espaces concurrentiels des PME","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03750913753837878,"score_gpt":0.2652709982798074,"score_spread":0.2277618607414286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125855884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52169365,0.0008655553,0.45304084,0.00034746417,0.00006750701,0.00021371806,0.0009871961,0.00063976244,0.022144452],"genre_scores_gemma":[0.95437217,0.0002563243,0.039917216,0.00003327331,0.000016014083,0.00021469868,0.00037547637,0.00010464985,0.0047101644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674904,0.0009256702,0.00020866437,0.00088346313,0.0009474213,0.00028577726],"domain_scores_gemma":[0.97936195,0.014467308,0.0019794495,0.002683285,0.0010392241,0.00046885142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043699504,0.0010952401,0.0008045423,0.0010451722,0.00067058887,0.0055789836,0.0011666673,0.00097540056,0.010087262],"category_scores_gemma":[0.019226883,0.0006725804,0.0013946227,0.0011346542,0.0018863102,0.0050445,0.0026551813,0.0016452733,0.0006994735],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021686377,0.0004773117,0.09885747,0.0014426238,0.0005321307,0.0008573952,0.004986188,0.29722998,0.042907365,0.35792974,0.0011187362,0.1914925],"study_design_scores_gemma":[0.00020492246,0.0014452629,0.108879365,0.00047892748,0.00052255,0.0006943424,0.0035498377,0.50540686,0.05427392,0.28192246,0.042241037,0.00038045592],"about_ca_topic_score_codex":0.004859815,"about_ca_topic_score_gemma":0.003694794,"teacher_disagreement_score":0.010087262,"about_ca_system_score_codex":0.0016435103,"about_ca_system_score_gemma":0.0013231592,"threshold_uncertainty_score":0.03374523},"labels":[],"label_agreement":null},{"id":"W2127764509","doi":"10.7202/602227ar","title":"Les effets de l’appartenance à un groupe de travail sur les salaires individuels","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.05207187262540184,"score_gpt":0.23216664181749014,"score_spread":0.1800947691920883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127764509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98021245,0.0012743362,0.013828661,0.0010383738,0.000106776024,0.000114176364,0.0003903701,0.000061849045,0.0029730494],"genre_scores_gemma":[0.98766065,0.00063147396,0.005094422,0.00022266273,0.0000563377,0.00014630081,0.0003421667,0.00002597174,0.005820041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801034,0.0009749567,0.0000778631,0.00041815604,0.0002744003,0.00024443757],"domain_scores_gemma":[0.9754612,0.018896114,0.0020529267,0.0017261743,0.0009815729,0.0008820682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005612359,0.0009819467,0.0016063245,0.0008657026,0.00079332077,0.002183323,0.0015587014,0.0021341953,0.011265675],"category_scores_gemma":[0.017011642,0.00036536335,0.0025093774,0.00089710974,0.0013444301,0.001291901,0.00169823,0.0018528795,0.0011649006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007474483,0.0019392621,0.7034587,0.0010138903,0.0021746438,0.00071407494,0.003046275,0.11549706,0.0091269715,0.013902062,0.0014519333,0.14020067],"study_design_scores_gemma":[0.00052722334,0.009206174,0.8058153,0.00041975942,0.002268456,0.00042288026,0.004772328,0.12153753,0.008647777,0.032555655,0.013618988,0.00020796708],"about_ca_topic_score_codex":0.013075978,"about_ca_topic_score_gemma":0.011716579,"teacher_disagreement_score":0.013075978,"about_ca_system_score_codex":0.0015575865,"about_ca_system_score_gemma":0.0010975322,"threshold_uncertainty_score":0.03768742},"labels":[],"label_agreement":null},{"id":"W2127885938","doi":"10.5539/ijef.v5n10p85","title":"Access to Credit and the Effect of Credit Constraints on the Performance of Manufacturing Firms in the East African Region: Micro Analysis","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Tobit model; Probit; Interest rate; Productivity; Business; Probit model; Microfinance; Access to finance; Finance; Economics; Monetary economics; Macroeconomics; Economic growth; Econometrics","score_opus":0.021882983618491662,"score_gpt":0.22243442900393345,"score_spread":0.20055144538544178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127885938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994387,0.00005354473,0.00004087762,0.000040749368,5.6516114e-7,0.0000057669145,0.00020071301,7.6360925e-7,0.00021825767],"genre_scores_gemma":[0.9996125,0.000048374935,0.000032515236,0.000007801157,0.0000023398316,0.0000057683847,0.00010789601,4.4627768e-7,0.00018230709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946946,0.00019178566,0.000026688109,0.000056943692,0.000054267904,0.00020097413],"domain_scores_gemma":[0.99756217,0.0010669326,0.0008510434,0.000092424874,0.00014888542,0.0002784914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045723,0.0001905085,0.00029925522,0.0012269199,0.0006073279,0.0010487505,0.0002787699,0.00040677664,0.0031456635],"category_scores_gemma":[0.0020577917,0.00024686684,0.00044668012,0.0020984076,0.0004770237,0.0006123167,0.0008614931,0.0005917377,0.00032138324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058977694,0.000109294335,0.9956234,0.000019673646,0.00006940866,0.000250187,0.00061687524,0.0007351505,0.0001811755,0.00018499058,0.00016116358,0.0019897374],"study_design_scores_gemma":[0.0000025372162,0.000076239856,0.9960049,0.000011325841,0.000027332957,0.000072254144,0.002052236,0.0012723546,0.00012695517,0.00006938911,0.00027915637,0.0000054288216],"about_ca_topic_score_codex":0.021947574,"about_ca_topic_score_gemma":0.022915088,"teacher_disagreement_score":0.021947574,"about_ca_system_score_codex":0.00062124775,"about_ca_system_score_gemma":0.0004028666,"threshold_uncertainty_score":0.0436396},"labels":[],"label_agreement":null},{"id":"W2128661062","doi":"10.1504/ijtm.2000.002877","title":"Innovative activity in Canadian food processing establishments: the importance of engineering practices","year":2000,"lang":"en","type":"article","venue":"International Journal of Technology Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Competition (biology); Product (mathematics); Marketing; Food industry; Business; Industrial organization; Food processing; Product innovation; Process (computing); Production (economics); Economics","score_opus":0.018223940116135994,"score_gpt":0.25044453885099055,"score_spread":0.23222059873485457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128661062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99357116,0.00043428282,0.0001600988,0.000259381,0.0000062644226,0.000018557826,0.00024792284,0.000007497861,0.005294769],"genre_scores_gemma":[0.9980861,0.0003072492,0.00010147824,0.000019362087,0.000003065555,0.000003381121,0.00016765913,0.0000018583161,0.0013098095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882215,0.000057574758,0.000026893904,0.00011546739,0.0005715535,0.0004062917],"domain_scores_gemma":[0.99591833,0.00057993556,0.0010348951,0.00011338641,0.0013132605,0.0010401078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085606176,0.0002146058,0.0002579164,0.0022219329,0.0017943119,0.0012282318,0.00083293737,0.00030011692,0.0027830892],"category_scores_gemma":[0.004714336,0.0001724237,0.00033691665,0.0028319682,0.0011268224,0.0003536489,0.0009349025,0.00051876734,0.00016699304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009024948,0.00008528147,0.96195143,0.000072345494,0.000038590446,0.0003087087,0.0028170883,0.0006780505,0.0009189014,0.0010498828,0.0009931047,0.030996336],"study_design_scores_gemma":[0.000002259565,0.000018488601,0.99699223,0.000013531633,0.0000085458505,0.000037538255,0.0012095544,0.00031412835,0.000091782764,0.000043059255,0.0012608612,0.000008061865],"about_ca_topic_score_codex":0.9578016,"about_ca_topic_score_gemma":0.9844504,"teacher_disagreement_score":0.98305124,"about_ca_system_score_codex":0.016948773,"about_ca_system_score_gemma":0.016569518,"threshold_uncertainty_score":0.12297255},"labels":[],"label_agreement":null},{"id":"W2130703695","doi":"10.1111/ecin.12214","title":"THE AGRICULTURAL PRODUCTIVITY GAP IN EUROPE","year":2015,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Agriculture; Productivity; Economics; Agricultural economics; Agricultural productivity; Gross domestic product; Wage; Value (mathematics); Per capita; Demographic economics; Labour economics; Econometrics; Macroeconomics; Geography; Statistics; Mathematics","score_opus":0.12053505825848673,"score_gpt":0.25552909969569915,"score_spread":0.13499404143721241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130703695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96649575,0.01473309,0.0012244763,0.0015061123,0.000087178974,0.000009954285,0.0039780294,0.000054804153,0.011910442],"genre_scores_gemma":[0.9952058,0.0016863268,0.00023858262,0.00010616098,0.000056721332,0.0000059593604,0.002062603,0.000008611287,0.0006291219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902606,0.00015881764,0.00011171947,0.00032126473,0.00018749018,0.00019466595],"domain_scores_gemma":[0.9969754,0.00058578077,0.0016767752,0.00020421011,0.00030340694,0.00025440354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019803755,0.00019925114,0.00038301636,0.0027153185,0.00027765296,0.0022574284,0.00029537332,0.00048373008,0.0019694488],"category_scores_gemma":[0.0042729895,0.000104522645,0.0003919011,0.0053370707,0.0004783834,0.0013440248,0.0016492625,0.0003959381,0.00032629017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031279124,0.000068998794,0.87953055,0.0004070374,0.00037926383,0.0009631489,0.0016721981,0.0055192513,0.0009004166,0.02117945,0.0076823793,0.081384584],"study_design_scores_gemma":[0.000013220197,0.00003996958,0.9723699,0.000114217495,0.000037999933,0.00031754962,0.0006419703,0.00079744734,0.00030443654,0.0029016866,0.02244961,0.00001200109],"about_ca_topic_score_codex":0.0055485596,"about_ca_topic_score_gemma":0.002721134,"teacher_disagreement_score":0.0055485596,"about_ca_system_score_codex":0.00074371486,"about_ca_system_score_gemma":0.00061306095,"threshold_uncertainty_score":0.011032522},"labels":[],"label_agreement":null},{"id":"W2132521110","doi":"10.1504/ijbg.2013.051799","title":"Barriers to the growth of small business firms in India","year":2013,"lang":"en","type":"article","venue":"International Journal of Business and Globalisation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Business; Small business; Affect (linguistics); Business development; Feeling; Marketing; Finance","score_opus":0.017590652687596336,"score_gpt":0.21170017255017662,"score_spread":0.1941095198625803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132521110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869147,0.00024686052,0.00009940538,0.0009959573,0.000005925944,0.000009799419,0.000059408685,0.000006262704,0.011661719],"genre_scores_gemma":[0.9991517,0.00018377313,0.00003906887,0.00004171149,0.0000029012965,0.0000036310194,0.000030181793,0.0000013381361,0.0005457433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890053,0.0002412223,0.00006463677,0.000058602374,0.00034874625,0.0003862029],"domain_scores_gemma":[0.99161327,0.002638655,0.0027344625,0.0002190857,0.0011048036,0.0016897483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060869346,0.00013088195,0.00015386242,0.00077916554,0.0011096696,0.002567421,0.00041387102,0.00028407614,0.0026061286],"category_scores_gemma":[0.00505151,0.00009083643,0.00013642448,0.00092805544,0.00091483595,0.0007226549,0.0014062471,0.00072799355,0.00026934303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001179345,0.00021771181,0.91310906,0.00023460297,0.000040830524,0.0032787104,0.026277348,0.0010905906,0.003050543,0.013904233,0.0034256072,0.035252854],"study_design_scores_gemma":[0.0000064901005,0.00007160211,0.9185744,0.00018938548,0.000018321025,0.00093835936,0.05598636,0.0008609441,0.0006754123,0.0020515218,0.020598264,0.000028862023],"about_ca_topic_score_codex":0.027958862,"about_ca_topic_score_gemma":0.031220822,"teacher_disagreement_score":0.027958862,"about_ca_system_score_codex":0.0015839505,"about_ca_system_score_gemma":0.0024499716,"threshold_uncertainty_score":0.05559224},"labels":[],"label_agreement":null},{"id":"W2133577845","doi":"10.5539/ibr.v5n10p107","title":"The Life Cycle of Growth Path among Micro Firms: Swedish Data","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Growth rate; Econometrics; Demographic economics; Business; Economics; Mathematics","score_opus":0.135390960326041,"score_gpt":0.3412378098640036,"score_spread":0.2058468495379626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133577845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95749325,0.000761795,0.00080628,0.00010329063,0.000015627917,0.00005499039,0.038450725,0.00006298189,0.0022509566],"genre_scores_gemma":[0.88530755,0.0009870846,0.0019041566,0.00003884166,0.000026507421,0.00018308917,0.109098956,0.00003311163,0.0024206894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989108,0.00017205099,0.00018640903,0.00023717237,0.00031458342,0.00017900916],"domain_scores_gemma":[0.9932202,0.0029286917,0.0021907177,0.00058225193,0.00074899325,0.00032908513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090903643,0.0004146496,0.00060948153,0.005781905,0.00041691115,0.0016414828,0.0005434435,0.00068899634,0.002569148],"category_scores_gemma":[0.005072786,0.00031489573,0.0005491158,0.0071270983,0.00038162558,0.00050632574,0.0009369249,0.0004961575,0.0016511462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040558056,0.0002293546,0.9524558,0.00034153342,0.00016487685,0.0009447255,0.0011695629,0.008553548,0.00050606806,0.0013379239,0.007118517,0.026772577],"study_design_scores_gemma":[0.000047657377,0.00018011624,0.95716166,0.0001685365,0.00010211694,0.0007550121,0.0031773676,0.00564861,0.0012424857,0.0014504832,0.030008407,0.000057417943],"about_ca_topic_score_codex":0.029122323,"about_ca_topic_score_gemma":0.022085605,"teacher_disagreement_score":0.029122323,"about_ca_system_score_codex":0.00083555473,"about_ca_system_score_gemma":0.0011394455,"threshold_uncertainty_score":0.057905614},"labels":[],"label_agreement":null},{"id":"W2134598681","doi":"10.3386/w13315","title":"Investment during the Korean Financial Crisis: A Structural Econometric Analysis","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"National Science Foundation","keywords":"Financial crisis; Econometric analysis; Economics; Investment (military); Econometric model; Business; Financial system; Finance; Econometrics; Macroeconomics; Political science","score_opus":0.3064337156013587,"score_gpt":0.45820141107134604,"score_spread":0.15176769546998736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134598681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942624,0.0003123867,0.0022434108,0.0005542245,0.000015381827,0.000037439007,0.0012413951,0.000034961715,0.0012984473],"genre_scores_gemma":[0.99579066,0.00032884048,0.00059350126,0.0000532095,0.000023641092,0.000039087605,0.0021395693,0.000008803854,0.0010226391],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995074,0.0002152897,0.000029608673,0.000079563884,0.000038191156,0.00012997698],"domain_scores_gemma":[0.99630827,0.002439454,0.00065835775,0.00015039543,0.0002267058,0.00021674151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018123033,0.00062482717,0.0008453248,0.0012622958,0.0003868459,0.001314334,0.00087141094,0.0010127911,0.0045799646],"category_scores_gemma":[0.004641553,0.00062964606,0.0014508968,0.0014465153,0.00044913517,0.0010071698,0.0010666248,0.0014711412,0.0005391098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011982721,0.0012336236,0.6810545,0.0002226981,0.0016161717,0.0013770008,0.0007503124,0.26107246,0.0013632531,0.015790012,0.0072243046,0.027097423],"study_design_scores_gemma":[0.00021331366,0.0003595179,0.19686173,0.000046514095,0.00052399375,0.00011472684,0.0013593553,0.7943526,0.0003930221,0.00401928,0.0016970161,0.000059019778],"about_ca_topic_score_codex":0.03228983,"about_ca_topic_score_gemma":0.025113622,"teacher_disagreement_score":0.03228983,"about_ca_system_score_codex":0.0011533194,"about_ca_system_score_gemma":0.0009208021,"threshold_uncertainty_score":0.0642038},"labels":[],"label_agreement":null},{"id":"W2134962966","doi":"10.1257/mac.20140181","title":"The Firm Size Distribution across Countries and Skill-Biased Change in Entrepreneurial Technology","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Distribution (mathematics); Dispersion (optics); Econometrics; Technical change; Construct (python library); Technological change; Demographic economics; Macroeconomics; Productivity; Mathematics","score_opus":0.011672405314155787,"score_gpt":0.2575114449112024,"score_spread":0.24583903959704664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134962966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98894566,0.0006007002,0.0044541573,0.0011051992,0.000015657957,0.000014713597,0.00038575995,0.000043101274,0.0044350717],"genre_scores_gemma":[0.9988826,0.000179823,0.00020616809,0.000039932955,0.000010862715,0.0000036280235,0.00012252179,0.0000037059715,0.00055087084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995772,0.000109164735,0.000040282128,0.00013924656,0.000052686468,0.000081459795],"domain_scores_gemma":[0.98396873,0.006073234,0.008053973,0.0009220277,0.0004611326,0.000520933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015059061,0.0001371285,0.00033069015,0.001088149,0.00030260507,0.0015228905,0.00032169343,0.0007078059,0.004403952],"category_scores_gemma":[0.0122438,0.00018378001,0.00040075489,0.001427984,0.0012482313,0.0010912955,0.0010495781,0.0006242135,0.0004022664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022597601,0.00008930134,0.8727055,0.00009256692,0.00023802862,0.00074409303,0.0008856588,0.041541718,0.0016091565,0.042393547,0.004130729,0.03534365],"study_design_scores_gemma":[0.00007214738,0.00016737758,0.8505744,0.00008081163,0.00015613034,0.00093307294,0.0013416653,0.057461627,0.0011644107,0.08281555,0.00516664,0.00006617662],"about_ca_topic_score_codex":0.0036692063,"about_ca_topic_score_gemma":0.0030252724,"teacher_disagreement_score":0.004403952,"about_ca_system_score_codex":0.00085277186,"about_ca_system_score_gemma":0.0002675101,"threshold_uncertainty_score":0.014732659},"labels":[],"label_agreement":null},{"id":"W2135479837","doi":"","title":"Testing the impact of unemployment on self-employment: empirical evidence from OECD countries","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Argument (complex analysis); Human capital; Empirical evidence; Empirical research; Refugee; Labour economics; Demographic economics; Macroeconomics; Economic growth; Political science","score_opus":0.1611018863498185,"score_gpt":0.29167199186853027,"score_spread":0.13057010551871176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135479837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872311,0.0034068073,0.00012349604,0.00025885474,0.000013953469,0.0000141449555,0.0019754667,0.000007765476,0.006968357],"genre_scores_gemma":[0.992554,0.0034031346,0.0001336955,0.000096155665,0.000025413483,0.00001414611,0.0033428548,0.0000072365656,0.0004233055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889296,0.00030936746,0.00013387534,0.00013209876,0.00025130584,0.00028053674],"domain_scores_gemma":[0.99324894,0.0027358036,0.0019693163,0.00046029038,0.0011632943,0.00042237857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024936586,0.0003289579,0.00057536253,0.0038053454,0.00057315757,0.0015481175,0.0003537428,0.0003784683,0.001278109],"category_scores_gemma":[0.005133339,0.00011609998,0.0007225465,0.0060502603,0.00080438174,0.0005417466,0.0012581408,0.00033491084,0.0002723685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002952086,0.00011361101,0.9741356,0.00040724216,0.00038720356,0.00086817984,0.0014248186,0.0012965502,0.00013743302,0.0011074403,0.0017807991,0.018045895],"study_design_scores_gemma":[0.0000145966715,0.000055203276,0.9909943,0.00020637551,0.00021168058,0.00017382289,0.0035218059,0.00025444973,0.00019624247,0.00017549473,0.0041837636,0.000012137276],"about_ca_topic_score_codex":0.058509205,"about_ca_topic_score_gemma":0.05374787,"teacher_disagreement_score":0.058509205,"about_ca_system_score_codex":0.0010201008,"about_ca_system_score_gemma":0.0010191075,"threshold_uncertainty_score":0.1163373},"labels":[],"label_agreement":null},{"id":"W2135552132","doi":"10.7202/011395ar","title":"Stratégies de recherche, contraintes spatiales et hétérogénéité des transitions vers l’emploi : estimation économétrique d’un modèle structurel de recherche","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.33299314977701516,"score_gpt":0.3472584013946603,"score_spread":0.014265251617645136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135552132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12007175,0.0013685419,0.8638081,0.0035497935,0.000068205154,0.000214228,0.00045264227,0.00024450143,0.010222129],"genre_scores_gemma":[0.8290636,0.0013884511,0.15332824,0.0003114827,0.000068677524,0.0007274131,0.00048417013,0.00009060083,0.014537458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9914479,0.004732243,0.0003568441,0.0019400602,0.00096202694,0.00056096376],"domain_scores_gemma":[0.94487417,0.046370517,0.0042356313,0.002190658,0.00178519,0.00054387224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012584137,0.001167753,0.0019697647,0.0013835693,0.00077890535,0.0051873475,0.0024006013,0.002800249,0.007324959],"category_scores_gemma":[0.05685948,0.001204599,0.002307795,0.0016740119,0.0028136992,0.006601888,0.0025240532,0.003450743,0.00084331265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028617852,0.00013478506,0.012878219,0.00028840738,0.00026473054,0.00015223661,0.0011067769,0.5820867,0.0009935277,0.3637163,0.001049976,0.037042167],"study_design_scores_gemma":[0.000090500245,0.00025107668,0.0054602013,0.00015027987,0.00014644838,0.00008228331,0.00059448124,0.8077713,0.001031083,0.17849647,0.0058394116,0.000086505126],"about_ca_topic_score_codex":0.021082524,"about_ca_topic_score_gemma":0.012753247,"teacher_disagreement_score":0.021082524,"about_ca_system_score_codex":0.0047208355,"about_ca_system_score_gemma":0.0046146004,"threshold_uncertainty_score":0.06655204},"labels":[],"label_agreement":null},{"id":"W2136072595","doi":"10.1111/j.1936-4490.2000.tb00205.x","title":"A Subnational Analysis of Japanese Direct Investment in Canada","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Foreign direct investment; Subsidiary; Econometric analysis; Equity (law); Multinational corporation; Descriptive statistics; Political science; Investment (military); Demographic economics; Welfare economics; Economics; Economy; Economic geography; Finance","score_opus":0.09126180983523792,"score_gpt":0.2755378772051285,"score_spread":0.1842760673698906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136072595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915427,0.0003320002,0.00016684677,0.00013143223,0.000005150227,0.000019480549,0.0031161332,0.0000088134575,0.0046773744],"genre_scores_gemma":[0.99159324,0.00040273662,0.00024462273,0.000029978532,0.0000022361965,0.000015957032,0.002567998,0.0000055250575,0.005137767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951553,0.000026023932,0.000026484317,0.00006323156,0.00015139383,0.00021726305],"domain_scores_gemma":[0.997421,0.00014907192,0.00037471548,0.000056195473,0.0015495515,0.00044947784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043846,0.0002634608,0.00030347757,0.0025761682,0.0013836009,0.0016059314,0.00036984746,0.00019286144,0.002846593],"category_scores_gemma":[0.0018333172,0.00016563745,0.0003472243,0.0060354983,0.0004450438,0.0004074156,0.0011716728,0.00033021442,0.0002501257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057106008,0.000015915764,0.98402816,0.000039615486,0.00004309334,0.00022874754,0.0038821176,0.00042323564,0.00048363183,0.000708392,0.000827359,0.009262589],"study_design_scores_gemma":[8.83492e-7,0.000008566615,0.9921262,0.000018239003,0.000013035573,0.000030626696,0.004952793,0.00041123363,0.00011550746,0.000029996076,0.0022844602,0.000008393722],"about_ca_topic_score_codex":0.98195076,"about_ca_topic_score_gemma":0.99035394,"teacher_disagreement_score":0.018235667,"about_ca_system_score_codex":0.018235667,"about_ca_system_score_gemma":0.017889794,"threshold_uncertainty_score":0.13230968},"labels":[],"label_agreement":null},{"id":"W2136167721","doi":"","title":"Vulnérabilité du secteur des entreprises et activité agrégée","year":2005,"lang":"fr","type":"article","venue":"Cairn.info","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.027472754014480363,"score_gpt":0.22307992245857133,"score_spread":0.19560716844409098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136167721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96563315,0.0018717311,0.00068479346,0.00096833543,0.000046594865,0.00003866219,0.00051283377,0.000013258455,0.03023057],"genre_scores_gemma":[0.98735994,0.0010414366,0.0006329111,0.00016952533,0.000028383722,0.000039187133,0.00029872204,0.000005629678,0.010424311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983638,0.00046138733,0.000077965444,0.00023844549,0.00041275905,0.00044569751],"domain_scores_gemma":[0.9939089,0.001592655,0.0025451938,0.0002587762,0.00096996536,0.00072451937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019736295,0.00040210804,0.00025446262,0.0019193526,0.001787159,0.0023722665,0.00055417,0.0004923273,0.011005015],"category_scores_gemma":[0.0058834776,0.00019235548,0.00032314367,0.0026227867,0.0010209886,0.0010926396,0.0018735584,0.0007616814,0.00053484476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013402183,0.000068995316,0.90765584,0.00026456855,0.00017207941,0.0006866308,0.031448107,0.00030504816,0.0010004377,0.004717009,0.0013217021,0.052225593],"study_design_scores_gemma":[0.00000324213,0.00007942796,0.94984,0.00018106353,0.000053142794,0.00024827453,0.02720836,0.00019161527,0.00027660863,0.0005394733,0.021365335,0.000013526706],"about_ca_topic_score_codex":0.08851461,"about_ca_topic_score_gemma":0.16806172,"teacher_disagreement_score":0.08851461,"about_ca_system_score_codex":0.0029793722,"about_ca_system_score_gemma":0.0023022965,"threshold_uncertainty_score":0.1759988},"labels":[],"label_agreement":null},{"id":"W2136930932","doi":"10.7202/600890ar","title":"La théorie de Heckscher-Ohlin et la localisation des industries manufacturières canadiennes : présentation de quelques résultats empiriques","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Manufacturing; Production (economics); Capital (architecture); Economics; Comparative advantage; Industrial organization; Business; International trade; Geography; Microeconomics; Marketing","score_opus":0.044437470034908666,"score_gpt":0.2789345550692655,"score_spread":0.23449708503435684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136930932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.287777,0.06489602,0.39391187,0.040493835,0.00073922484,0.0001821552,0.0010971874,0.00029642458,0.21060634],"genre_scores_gemma":[0.9388261,0.022511907,0.017279908,0.00096851983,0.0005974337,0.00010246904,0.000273756,0.00003131221,0.019408666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99894196,0.00040796853,0.000029557512,0.00017999497,0.00024517212,0.00019541476],"domain_scores_gemma":[0.99253476,0.0053501423,0.0007254644,0.00034806653,0.0008482727,0.00019337267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003259771,0.00068929716,0.0008757923,0.0035487334,0.0017412158,0.0030230067,0.0016146854,0.0014100402,0.012325171],"category_scores_gemma":[0.012569807,0.0005413092,0.00118966,0.0061497386,0.0067607863,0.0045731175,0.001657736,0.0016380395,0.0012230643],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033875982,0.000039511175,0.014235444,0.00033511934,0.00008878356,0.0004601445,0.0012492426,0.03101315,0.0001298723,0.9130325,0.0046215253,0.034760844],"study_design_scores_gemma":[0.000100147605,0.00004351178,0.014021765,0.00038729145,0.00014156464,0.00033976694,0.002745936,0.038900755,0.0003299944,0.90881246,0.034096513,0.00008023844],"about_ca_topic_score_codex":0.27523047,"about_ca_topic_score_gemma":0.16599989,"teacher_disagreement_score":0.72476953,"about_ca_system_score_codex":0.009105007,"about_ca_system_score_gemma":0.0051614325,"threshold_uncertainty_score":0.5472569},"labels":[],"label_agreement":null},{"id":"W2137108172","doi":"10.7202/007259ar","title":"Quelques réflexions autour du paradoxe de l’irrécouvrabilité","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03657917993301799,"score_gpt":0.23360986709576853,"score_spread":0.19703068716275055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137108172","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12073569,0.033007123,0.2775461,0.34541392,0.0028768065,0.00007868742,0.00059875654,0.00029031545,0.21945252],"genre_scores_gemma":[0.93442625,0.012067857,0.023335064,0.012593801,0.0026305849,0.000117667165,0.00014947429,0.00017760588,0.014501716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99154484,0.0029279902,0.00039901328,0.0020929712,0.0025073607,0.0005277353],"domain_scores_gemma":[0.95553976,0.031549353,0.0037049232,0.005685858,0.0026357882,0.0008844054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013169911,0.00073326955,0.0015973306,0.002681302,0.0023832684,0.009910268,0.00280388,0.006313853,0.0100735305],"category_scores_gemma":[0.036124032,0.0006522413,0.0016165521,0.0019359336,0.025953513,0.018573895,0.006248287,0.008746744,0.0010105358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024559515,0.00001777124,0.00077915145,0.000105644525,0.000038473583,0.00015272702,0.001154871,0.00093107595,0.0002705464,0.9882641,0.0020911512,0.0061699646],"study_design_scores_gemma":[0.000011201793,0.000012200109,0.00068691594,0.00007219559,0.000013272376,0.00016920181,0.0006417294,0.0014868248,0.00022799557,0.98158306,0.015070421,0.000024999026],"about_ca_topic_score_codex":0.0023787688,"about_ca_topic_score_gemma":0.00237767,"teacher_disagreement_score":0.013169911,"about_ca_system_score_codex":0.0032882048,"about_ca_system_score_gemma":0.0022837059,"threshold_uncertainty_score":0.069649994},"labels":[],"label_agreement":null},{"id":"W2137385593","doi":"10.1016/s0148-6195(03)00029-8","title":"Start-up financing, owner characteristics, and survival","year":2003,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Imperial Bank of Commerce","keywords":"Loan; Ceteris paribus; Participation loan; Business; Non-conforming loan; Cross-collateralization; Bridge loan; Loan sale; Actuarial science; Finance; Financial system; Economics; Non-performing loan","score_opus":0.03252160174312672,"score_gpt":0.2014134760797801,"score_spread":0.1688918743366534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137385593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871874,0.00025511466,0.000085534004,0.00014413828,0.00000403257,0.000003642859,0.00013576265,0.0000020043935,0.0006509566],"genre_scores_gemma":[0.99905056,0.00009021546,0.000023332688,0.000012984046,0.000016673514,0.000002053867,0.0001304875,0.0000013191577,0.00067231664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996798,0.00009819721,0.00002699234,0.000029225312,0.00003663641,0.00012909787],"domain_scores_gemma":[0.9634221,0.018798972,0.010710065,0.00076567696,0.0009586008,0.005344459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017501428,0.0001453698,0.00027480526,0.0007677214,0.00040206034,0.0010155849,0.0003686355,0.0008682726,0.008609433],"category_scores_gemma":[0.010384208,0.000118292424,0.00029755023,0.000754176,0.00057073415,0.00084491604,0.0005402865,0.00086043816,0.0006078876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020379866,0.000119993194,0.9957735,0.0000055847563,0.000027445152,0.00016073196,0.00008225481,0.00025708394,0.000103069164,0.00023267212,0.00020128509,0.0028325298],"study_design_scores_gemma":[0.000026381065,0.00020277736,0.9957223,0.000020118674,0.000057862297,0.00041602727,0.0005143644,0.0012274386,0.00018335522,0.0011617996,0.00046015077,0.000007497759],"about_ca_topic_score_codex":0.0021126552,"about_ca_topic_score_gemma":0.0043665324,"teacher_disagreement_score":0.008609433,"about_ca_system_score_codex":0.00033595748,"about_ca_system_score_gemma":0.0004277299,"threshold_uncertainty_score":0.028801441},"labels":[],"label_agreement":null},{"id":"W2139138955","doi":"10.18235/0009215","title":"Innovation and Productivity in Services: Empirical Evidence from Latin America","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Inter-American Development Bank","keywords":"Latin Americans; Productivity; Empirical evidence; Economics; Business; Political science; Macroeconomics; Philosophy; Epistemology","score_opus":0.11595955759956585,"score_gpt":0.28748750581641613,"score_spread":0.1715279482168503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139138955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880316,0.0035208738,0.00024962163,0.0007240256,0.000007989653,0.000008549194,0.00055718014,0.000013617049,0.006886483],"genre_scores_gemma":[0.9967219,0.0022431877,0.00008020876,0.000055329616,0.000016340498,0.0000068736945,0.00055303844,0.0000050200183,0.00031793964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994252,0.0001521947,0.00003310578,0.000086932385,0.00010128891,0.00020137867],"domain_scores_gemma":[0.9940287,0.0025004414,0.001953293,0.00017976972,0.0007926844,0.0005451377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009812154,0.00038106643,0.00045564587,0.0034599395,0.00046151478,0.0015571668,0.000353173,0.00030908326,0.0025028584],"category_scores_gemma":[0.0054664845,0.0001403422,0.0005634315,0.008692246,0.0010705742,0.00065440935,0.0013553713,0.00047950313,0.00023601788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011431935,0.000077940735,0.9752597,0.00018001122,0.00012261882,0.00033112732,0.0023196544,0.00097393093,0.00019894306,0.0012123478,0.00077122013,0.018438144],"study_design_scores_gemma":[0.000019951562,0.00003631843,0.989883,0.00015005385,0.000071895556,0.00016201728,0.004670238,0.0006374901,0.000107699954,0.00053852034,0.0037135163,0.000009236437],"about_ca_topic_score_codex":0.12370289,"about_ca_topic_score_gemma":0.073510535,"teacher_disagreement_score":0.12370289,"about_ca_system_score_codex":0.0018778837,"about_ca_system_score_gemma":0.0016863846,"threshold_uncertainty_score":0.24596572},"labels":[],"label_agreement":null},{"id":"W2139301796","doi":"10.1002/mde.1565","title":"Initial Financial Conditions, Unobserved Heterogeneity and the Survival of Nascent Canadian Manufacturing Firms","year":2011,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Lakehead University; Bank of Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Leverage (statistics); Debt; Hazard ratio; Asset turnover; Monetary economics; Business; Economics; Asset (computer security); Hazard; Finance; Statistics; Return on assets","score_opus":0.05250457790872669,"score_gpt":0.22334215707767605,"score_spread":0.17083757916894937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139301796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998024,0.0002000878,0.00010305434,0.00014766978,0.000001974245,0.000005830886,0.000589295,0.0000033549584,0.0009247516],"genre_scores_gemma":[0.9988518,0.00012254792,0.000030696174,0.000007745076,0.000002326376,0.000001575455,0.00043402164,6.6972734e-7,0.00054854905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999703,0.000022335165,0.000012503586,0.000044744538,0.0000634804,0.00015382821],"domain_scores_gemma":[0.9954536,0.0012146863,0.0015189068,0.00019900553,0.00065793225,0.00095581706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010611219,0.00012409288,0.00024623988,0.0010275743,0.0012680244,0.0013562746,0.00049152365,0.00030689457,0.003120321],"category_scores_gemma":[0.0065601463,0.00013135455,0.0002664926,0.0011670225,0.0006103666,0.00037686538,0.00068998,0.00055817823,0.0001609784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011065762,0.000026064678,0.98676205,0.000015151949,0.00003157672,0.00015332887,0.00087954657,0.0022251012,0.00021494094,0.0010877702,0.0005798662,0.007914003],"study_design_scores_gemma":[0.000006712747,0.000021126472,0.99489814,0.0000149435,0.00001435334,0.000035659952,0.00091803144,0.002516541,0.000113707414,0.00037503595,0.0010703232,0.000015429345],"about_ca_topic_score_codex":0.90349454,"about_ca_topic_score_gemma":0.940106,"teacher_disagreement_score":0.09650546,"about_ca_system_score_codex":0.009017825,"about_ca_system_score_gemma":0.008114279,"threshold_uncertainty_score":0.19414759},"labels":[],"label_agreement":null},{"id":"W2139327285","doi":"10.5539/ijef.v6n8p129","title":"Determinants of Profit Variability among Micro and Small Enterprises (MSEs) in Zambia","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Profitability index; Profit margin; Business; Profit (economics); Revenue; Earnings; Probit model; Industrial organization; Economics; Econometrics; Microeconomics; Marketing; Finance","score_opus":0.016996953970071407,"score_gpt":0.21684710578658958,"score_spread":0.19985015181651816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139327285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998454,0.00002871886,0.000016381999,0.000017030361,2.1885586e-7,0.0000012391288,0.000027164499,3.9903034e-7,0.0000634048],"genre_scores_gemma":[0.99989736,0.000020036006,0.0000103608945,0.0000016744725,3.3292653e-7,9.4784707e-7,0.00002643946,1.6194069e-7,0.00004268401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997925,0.000034540237,0.000014176609,0.00003146901,0.000033575383,0.000093714756],"domain_scores_gemma":[0.9989543,0.00026564972,0.0005097705,0.000051542134,0.00010443003,0.00011428951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003677606,0.00010102488,0.00015212134,0.0005016888,0.00041084446,0.0006742005,0.00022465122,0.00018311778,0.00068368803],"category_scores_gemma":[0.0016150791,0.00012346072,0.00012985413,0.00061285624,0.00029859802,0.00030321526,0.0004221226,0.0002563985,0.00009957513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029045303,0.000024338557,0.99557686,0.0000058247047,0.00001726216,0.00014120879,0.0009969263,0.00027568743,0.00041655244,0.00012034628,0.00008845178,0.0023075906],"study_design_scores_gemma":[7.558954e-7,0.000014442101,0.998103,0.0000053102212,0.0000051901793,0.000050847346,0.0011995296,0.00043264905,0.000053827385,0.000023324033,0.00010975666,0.0000014088168],"about_ca_topic_score_codex":0.047211636,"about_ca_topic_score_gemma":0.0714337,"teacher_disagreement_score":0.047211636,"about_ca_system_score_codex":0.0007842937,"about_ca_system_score_gemma":0.00033928562,"threshold_uncertainty_score":0.09387368},"labels":[],"label_agreement":null},{"id":"W2139513938","doi":"10.4067/s0718-27242012000100013","title":"SMEs’ Degree of Openness: The Case of Manufacturing Industries","year":2012,"lang":"en","type":"article","venue":"Journal of technology management & innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Openness to experience; Open innovation; Industrial organization; Business; Cluster (spacecraft); Logistic regression; Degree (music); Marketing; Manufacturing sector; Economic geography; Computer science; Economics; Statistics; Mathematics; International economics","score_opus":0.05893137741913115,"score_gpt":0.25406418481453863,"score_spread":0.19513280739540748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139513938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933436,0.00018047194,0.000560907,0.0001966625,0.000002642479,0.0000116807205,0.000024394565,0.000003785624,0.00567593],"genre_scores_gemma":[0.99966,0.000048308593,0.00014626283,0.0000061621413,0.000002551365,0.0000024198791,0.00001462202,7.0661395e-7,0.000119006465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850214,0.00059972715,0.000066005945,0.000110929366,0.00021741027,0.00050373515],"domain_scores_gemma":[0.9928885,0.0038841187,0.0012618934,0.00040264783,0.0005181396,0.0010447656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014410121,0.00019301043,0.00040172605,0.0028459744,0.0015249555,0.0020920457,0.00038871556,0.00077194255,0.0021742366],"category_scores_gemma":[0.0076082954,0.00014981184,0.0007010802,0.002698828,0.0018193065,0.0015914578,0.0032807353,0.0006884368,0.00013746733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006855901,0.00036916902,0.851119,0.00026895144,0.00023058074,0.014716824,0.023408845,0.016514128,0.0039403746,0.059919912,0.00069654797,0.028130177],"study_design_scores_gemma":[0.000104537234,0.00027595897,0.86703205,0.00023816028,0.00013416896,0.005540929,0.04937167,0.024096506,0.0015051985,0.045592267,0.006016021,0.00009251423],"about_ca_topic_score_codex":0.006522598,"about_ca_topic_score_gemma":0.006016149,"teacher_disagreement_score":0.006522598,"about_ca_system_score_codex":0.0012094514,"about_ca_system_score_gemma":0.0005948248,"threshold_uncertainty_score":0.012969255},"labels":[],"label_agreement":null},{"id":"W2139714120","doi":"","title":"Intangible Assets and Their Contribution to Labour Productivity Growth in Ontario","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Business; Economics; Macroeconomics","score_opus":0.026346055029742833,"score_gpt":0.25280468170773257,"score_spread":0.22645862667798974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139714120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97736335,0.00045718992,0.00020333102,0.00082105846,0.00001094181,0.00001934239,0.0025210313,0.000014571802,0.018589169],"genre_scores_gemma":[0.9893471,0.00070358184,0.00019637702,0.000022783444,0.000006737105,0.000009285136,0.00078535225,0.00000642783,0.008922301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995378,0.00002385981,0.000019269964,0.00003719806,0.00020112247,0.00018073777],"domain_scores_gemma":[0.9979632,0.00021923937,0.0004066809,0.00006845829,0.0008479038,0.0004946397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033949155,0.00020362723,0.0002008107,0.0012926593,0.0013417776,0.0011687801,0.00052604993,0.00018009085,0.0025221126],"category_scores_gemma":[0.0024211453,0.00015191753,0.00026588124,0.0038939738,0.0005020756,0.0004148825,0.0008972893,0.00035529633,0.00026981797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001389599,0.000042186137,0.9447054,0.000087589025,0.000043586413,0.0004803691,0.00635366,0.0020904017,0.0007552133,0.0030136022,0.00367234,0.03861664],"study_design_scores_gemma":[0.0000055734267,0.000012427444,0.98523605,0.000034352954,0.00001746602,0.00004455679,0.0028830925,0.001254008,0.0001768886,0.0003380353,0.009988089,0.000009418034],"about_ca_topic_score_codex":0.9887028,"about_ca_topic_score_gemma":0.99578506,"teacher_disagreement_score":0.033534385,"about_ca_system_score_codex":0.033534385,"about_ca_system_score_gemma":0.029603448,"threshold_uncertainty_score":0.24331015},"labels":[],"label_agreement":null},{"id":"W2139730585","doi":"10.1111/1467-8276.00304","title":"Impact of Bovine Spongiform Encephalopathy on Agribusiness in the United Kingdom: Results of an Event Study of Equity Prices","year":2002,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Agribusiness; Bovine spongiform encephalopathy; Distributed lag; Equity (law); Autoregressive model; Economics; Econometrics; Benchmark (surveying); Business; Agriculture; Biology; Internal medicine; Medicine","score_opus":0.06128127207341618,"score_gpt":0.287839087628646,"score_spread":0.22655781555522983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139730585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904424,0.00007529883,0.000058837006,0.000096688374,0.0000035399091,0.0000044675558,0.00025454347,0.000004380427,0.0004580922],"genre_scores_gemma":[0.99934226,0.000045129655,0.000021243279,0.000013737239,0.0000045654597,0.0000016987451,0.00033222727,0.0000014743396,0.00023767295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904186,0.00034289292,0.00010282588,0.00009771449,0.00021439217,0.0002003723],"domain_scores_gemma":[0.9848518,0.0067593,0.00557812,0.00059405033,0.0015881206,0.0006286322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010352544,0.0002582215,0.0003856189,0.0005557137,0.0002724545,0.001272072,0.00035111327,0.0005903626,0.0017619644],"category_scores_gemma":[0.011324111,0.00016417215,0.0003078129,0.00083227764,0.0005090073,0.00079744734,0.0007611999,0.000744612,0.00029552064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015350472,0.0003244992,0.9753062,0.000051159503,0.00019010328,0.0015347194,0.00066785153,0.00896941,0.00085362984,0.0010795927,0.001472162,0.008015662],"study_design_scores_gemma":[0.000038354738,0.0002265306,0.98945415,0.0000067497645,0.000037948295,0.00014743257,0.0005935326,0.008244904,0.00036647054,0.00020130188,0.00066483585,0.000017855144],"about_ca_topic_score_codex":0.074733645,"about_ca_topic_score_gemma":0.050706547,"teacher_disagreement_score":0.074733645,"about_ca_system_score_codex":0.0016506511,"about_ca_system_score_gemma":0.00037858431,"threshold_uncertainty_score":0.1485973},"labels":[],"label_agreement":null},{"id":"W2140566743","doi":"10.1177/0002716207303581","title":"Secrets of Gazelles: The Differences between High-Growth and Low-Growth Business Owned by African American Entrepreneurs","year":2007,"lang":"en","type":"article","venue":"The Annals of the American Academy of Political and Social Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Government (linguistics); Demographic economics; Economics; Geography","score_opus":0.05419396386639568,"score_gpt":0.30280494251766704,"score_spread":0.24861097865127135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140566743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918,0.000052228726,0.000008488404,0.000100136436,0.0000017991068,0.0000018537028,0.000028279977,3.1630324e-7,0.0006269217],"genre_scores_gemma":[0.99952805,0.00005397203,0.0000095740725,0.000021538315,0.000005068934,0.0000015412357,0.000038987167,5.2915954e-7,0.00034063135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996093,0.00010549029,0.000023225288,0.00004186381,0.00008915976,0.00013101911],"domain_scores_gemma":[0.99646795,0.0006241289,0.001995941,0.00010996304,0.00021514241,0.0005868592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006398448,0.000118704294,0.00010490449,0.0012289821,0.0008278768,0.000881368,0.0002747429,0.00027208976,0.0042105746],"category_scores_gemma":[0.0041386546,0.000102374215,0.0001125889,0.00059430575,0.00093534443,0.0013180533,0.0012976434,0.00041738123,0.0003066138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006961572,0.000054803102,0.98971176,0.00000789631,0.000009142408,0.00014276862,0.005159504,0.000013447661,0.00044895042,0.00032331503,0.00026572833,0.0037930966],"study_design_scores_gemma":[0.0000032542478,0.0000348736,0.98734933,0.000013301036,0.000004567973,0.00020931823,0.011330636,0.000051777293,0.00010673774,0.00011286231,0.0007794268,0.000003925095],"about_ca_topic_score_codex":0.009938342,"about_ca_topic_score_gemma":0.018717261,"teacher_disagreement_score":0.009938342,"about_ca_system_score_codex":0.00032066155,"about_ca_system_score_gemma":0.0003518939,"threshold_uncertainty_score":0.019760966},"labels":[],"label_agreement":null},{"id":"W2141636685","doi":"10.5430/jms.v5n4p26","title":"Probability of Efficiency: Statistical Implications That Lead Firms to Achieve a Minimal and Sufficient “Return-On-Investment”","year":2014,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Sample (material); Return on investment; Investment (military); Probability of default; Lead (geology); Business; Econometrics; Capital investment; Actuarial science; Industrial organization; Finance; Economics; Microeconomics; Credit risk; Production (economics)","score_opus":0.055205869296696346,"score_gpt":0.24910214278371265,"score_spread":0.1938962734870163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141636685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69874996,0.0022029937,0.25695843,0.005143262,0.00022983494,0.0005786603,0.0013766051,0.00035065404,0.0344096],"genre_scores_gemma":[0.9938567,0.000108285756,0.0049058273,0.00021686136,0.00007879699,0.00011443256,0.00021238172,0.000017951497,0.0004886674],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98040223,0.008419318,0.0019395353,0.0046326728,0.0031804359,0.0014258026],"domain_scores_gemma":[0.693128,0.25050518,0.031192524,0.018240243,0.0042449655,0.0026890137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027832577,0.00046914173,0.0010181017,0.0019130481,0.0007981106,0.0033725775,0.001155751,0.0022076617,0.0064969556],"category_scores_gemma":[0.15359014,0.00032383637,0.0016141697,0.00154898,0.005512256,0.0052389437,0.0022047458,0.0027819248,0.00067311514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010833496,0.00040903338,0.6412355,0.0009400222,0.0011593391,0.0015261573,0.0014310242,0.020308768,0.0024045536,0.21023108,0.0052960124,0.113975234],"study_design_scores_gemma":[0.00015275364,0.0016747921,0.52593017,0.00029365905,0.000605926,0.0021628416,0.0015195863,0.05445916,0.0052948864,0.40000236,0.0077313497,0.00017259819],"about_ca_topic_score_codex":0.00065392366,"about_ca_topic_score_gemma":0.00052653026,"teacher_disagreement_score":0.027832577,"about_ca_system_score_codex":0.0011557384,"about_ca_system_score_gemma":0.0010100199,"threshold_uncertainty_score":0.1471945},"labels":[],"label_agreement":null},{"id":"W2143168274","doi":"","title":"\"Cross-firm\" Inventors and Social Networks: Localized Knowledge Spillovers Revisited","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Externality; Interpersonal ties; Knowledge creation; Test (biology); Sociology; Economic geography; Economics; Business; Social science; Microeconomics; Marketing","score_opus":0.04899250026501617,"score_gpt":0.3210431871311728,"score_spread":0.27205068686615663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143168274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735535,0.0021659816,0.008367197,0.0033685877,0.000016262835,0.00003580225,0.00015436459,0.000033500128,0.012304744],"genre_scores_gemma":[0.99849725,0.0005216963,0.00036371296,0.00008884162,0.000022498205,0.000013243304,0.000027416883,0.0000024815488,0.0004628532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812406,0.0009009729,0.000051957395,0.00035366186,0.00022099745,0.00034838277],"domain_scores_gemma":[0.9835323,0.011237953,0.0030925213,0.0008824556,0.0006083453,0.0006463785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034944906,0.00039624886,0.0008771414,0.003595001,0.0012261174,0.0027741154,0.0010743323,0.0011970465,0.0051015704],"category_scores_gemma":[0.010630542,0.00026849203,0.0007671261,0.0044604116,0.004635142,0.0052994513,0.0043710726,0.00088984304,0.00030317856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004041681,0.00026792384,0.6191311,0.00075215765,0.00074095716,0.0034264014,0.036617376,0.016952334,0.0021149332,0.19466524,0.0018554411,0.123072006],"study_design_scores_gemma":[0.00013773437,0.00043788092,0.7612309,0.0006279834,0.0009400729,0.0013429872,0.04789097,0.022400461,0.0016974813,0.15022281,0.012951984,0.00011879583],"about_ca_topic_score_codex":0.008989102,"about_ca_topic_score_gemma":0.009080694,"teacher_disagreement_score":0.008989102,"about_ca_system_score_codex":0.0018178237,"about_ca_system_score_gemma":0.00085043284,"threshold_uncertainty_score":0.018480837},"labels":[],"label_agreement":null},{"id":"W2143478353","doi":"10.2139/ssrn.1225974","title":"Firm Entry and Labor Market Dynamics","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Dynamics (music); Business; Barriers to entry; Labour economics; Economics; Industrial organization; Market structure","score_opus":0.009055290630387932,"score_gpt":0.18627848470822952,"score_spread":0.1772231940778416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143478353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97555727,0.0013989764,0.0016930635,0.0035145285,0.000028554907,0.000022419352,0.00044305882,0.00004523037,0.017296862],"genre_scores_gemma":[0.9916794,0.0003319915,0.00006807649,0.00007289291,0.00004400629,0.0000061886153,0.000110414156,0.000005061677,0.007681992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996755,0.00008761918,0.000013256074,0.00005105968,0.000035241887,0.0001373614],"domain_scores_gemma":[0.9874134,0.008754339,0.0017884169,0.00023294798,0.0002981599,0.0015127376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066738,0.00019049196,0.0006239316,0.0008106553,0.0007057411,0.0029993241,0.00042976037,0.0014833354,0.02292262],"category_scores_gemma":[0.0064450423,0.00025969846,0.0003490562,0.0010596142,0.0009934589,0.002151805,0.00080217567,0.0018274246,0.0016793014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001259291,0.0009320185,0.7430981,0.00016817366,0.00014918795,0.0022675248,0.003969616,0.015316244,0.0030899849,0.14942095,0.014688922,0.065639965],"study_design_scores_gemma":[0.0002629391,0.0004036359,0.7885798,0.00016384081,0.00011651296,0.00087014696,0.008059961,0.05681796,0.0007806988,0.13010949,0.013744021,0.00009093001],"about_ca_topic_score_codex":0.008387406,"about_ca_topic_score_gemma":0.012881204,"teacher_disagreement_score":0.02292262,"about_ca_system_score_codex":0.0008572506,"about_ca_system_score_gemma":0.0006220713,"threshold_uncertainty_score":0.07668376},"labels":[],"label_agreement":null},{"id":"W2143849718","doi":"10.1002/smj.550","title":"Niche width revisited: organizational scope, behavior and performance","year":2006,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Scope (computer science); Diversification (marketing strategy); Niche; Generalist and specialist species; Industrial organization; Niche market; Business; Marketing; Competitive advantage; Phenomenon; Computer science; Economics; Ecology; Biology","score_opus":0.023741520114382183,"score_gpt":0.20905404058059324,"score_spread":0.18531252046621105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143849718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608874,0.00016994074,0.00085884053,0.000100244106,0.0000014999691,0.0000045437487,0.000014288019,0.0000055130417,0.002756415],"genre_scores_gemma":[0.99964404,0.000028039594,0.00017365417,0.000008593516,0.0000027016315,0.000002083955,0.00001021215,0.0000015571098,0.00012910014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989667,0.00044992068,0.000054828815,0.00011990524,0.0002594628,0.00014921467],"domain_scores_gemma":[0.9823861,0.008984411,0.004695387,0.00089214806,0.00075700285,0.0022849275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027260156,0.00017893547,0.00033205078,0.0012666616,0.00037020675,0.0018139015,0.0003252091,0.00058409263,0.0022918142],"category_scores_gemma":[0.013694558,0.00012248487,0.00020360356,0.0009776694,0.0012597608,0.0014573358,0.0016450533,0.0005863374,0.00021387001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006930717,0.0004931006,0.8895986,0.00011313638,0.00014522026,0.00027905338,0.006391855,0.008136596,0.007901793,0.015701426,0.00056117214,0.06998497],"study_design_scores_gemma":[0.000039881343,0.00082625623,0.9434538,0.00007382335,0.000042981475,0.00041295853,0.006921042,0.02032823,0.0013750393,0.024795668,0.0016840972,0.000046148947],"about_ca_topic_score_codex":0.0010724702,"about_ca_topic_score_gemma":0.0013462425,"teacher_disagreement_score":0.0027260156,"about_ca_system_score_codex":0.00046085517,"about_ca_system_score_gemma":0.00033728336,"threshold_uncertainty_score":0.014416754},"labels":[],"label_agreement":null},{"id":"W2144208743","doi":"10.7202/1008703ar","title":"Petites et moyennes entreprises à forte croissance et emploi dans le secteur manufacturier grec","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.022547577071824886,"score_gpt":0.2450792908786673,"score_spread":0.22253171380684242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144208743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977424,0.00038755275,0.00036648798,0.00011930324,0.0000032149694,0.00000429918,0.00016209959,0.000004312518,0.0012103859],"genre_scores_gemma":[0.99676067,0.00028164743,0.00037959724,0.00002917284,0.000011565187,0.000007726834,0.00026638643,0.0000040324894,0.0022592333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986253,0.00044337244,0.000060353505,0.00026432794,0.00028420356,0.00032252033],"domain_scores_gemma":[0.9845783,0.0077162147,0.005114036,0.0006083404,0.0011233822,0.00085976976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024969762,0.00029576107,0.0003373261,0.001657717,0.0004984974,0.0014536905,0.00048712455,0.0007388699,0.004778704],"category_scores_gemma":[0.006197388,0.00023439135,0.0006110342,0.001653662,0.0006187494,0.0007535966,0.0008791107,0.00078567985,0.0008619817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016530753,0.0000464024,0.9834283,0.00003936769,0.0000759152,0.00028978667,0.001435049,0.00074287545,0.0007050744,0.00041245282,0.00016354502,0.012495847],"study_design_scores_gemma":[0.0000016107539,0.000063325155,0.9963511,0.000016447544,0.00001775245,0.000114691866,0.0013231013,0.0006049367,0.00025479912,0.00012313246,0.0011235287,0.000005522493],"about_ca_topic_score_codex":0.016472036,"about_ca_topic_score_gemma":0.02891488,"teacher_disagreement_score":0.016472036,"about_ca_system_score_codex":0.0011397777,"about_ca_system_score_gemma":0.00085687946,"threshold_uncertainty_score":0.032752335},"labels":[],"label_agreement":null},{"id":"W2144318403","doi":"10.2139/ssrn.941468","title":"Churn, Baby, Churn: Strategic Dynamics Among Dominant and Fringe Firms in a Segmented Industry","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial organization; Business; Dynamics (music); Economic geography; Economics; Physics","score_opus":0.011337049462031084,"score_gpt":0.199081816764999,"score_spread":0.1877447673029679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144318403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99708754,0.00009102919,0.0006839689,0.00026689447,0.00000159571,0.0000050898343,0.0000200354,0.000004540131,0.0018393648],"genre_scores_gemma":[0.99940836,0.000039510833,0.00011476884,0.00001718635,0.000002367909,0.0000023163986,0.000011202402,0.000001108171,0.00040317906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967957,0.00011007638,0.000008595314,0.000032785865,0.00003981504,0.00012918934],"domain_scores_gemma":[0.99300414,0.0044454397,0.0012161034,0.00015061814,0.00022600955,0.0009577457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010531815,0.00011712031,0.00026281603,0.0006543279,0.0008403715,0.0020190417,0.00037897084,0.0009981666,0.0030670566],"category_scores_gemma":[0.006978171,0.00016167817,0.00015993633,0.0007831219,0.0013348337,0.0020719848,0.001135331,0.0006873885,0.00024796493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021198138,0.00042205723,0.74861795,0.000121166435,0.00012914813,0.0017450469,0.028465115,0.01480854,0.006622132,0.123164006,0.005919322,0.06786559],"study_design_scores_gemma":[0.00018121868,0.00060151506,0.64986813,0.000083071835,0.00011324445,0.0010695936,0.06335265,0.11241361,0.001236551,0.16492195,0.006060747,0.000097674696],"about_ca_topic_score_codex":0.0072544212,"about_ca_topic_score_gemma":0.013471716,"teacher_disagreement_score":0.0072544212,"about_ca_system_score_codex":0.00083405245,"about_ca_system_score_gemma":0.0006494859,"threshold_uncertainty_score":0.014424384},"labels":[],"label_agreement":null},{"id":"W2144981152","doi":"10.5430/bmr.v3n1p54","title":"Calculation of the Approaches to Cycle Service Level in Continuous Review Policy: A Tool for Corporate Entrepreneur","year":2014,"lang":"en","type":"review","venue":"Business and Management Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitat Politècnica de València","keywords":"Entrepreneurship; Analogy; Dimension (graph theory); Boosting (machine learning); Computer science; Competitive advantage; Economics; Service level; Service (business); Order (exchange); Industrial organization; Business; Marketing; Management; Mathematics; Artificial intelligence","score_opus":0.495520997085534,"score_gpt":0.3678658669528452,"score_spread":0.1276551301326888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144981152","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063561266,0.0011979304,0.9837955,0.0004286032,0.000099857134,0.00005427358,0.00005072835,0.00024594966,0.0077709625],"genre_scores_gemma":[0.44983262,0.0031564091,0.53567415,0.000255144,0.00021337076,0.00038945314,0.00017385973,0.000347949,0.009957011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982222,0.0007966611,0.000089660614,0.00018660093,0.0005916415,0.00011324722],"domain_scores_gemma":[0.99480575,0.0032359764,0.0004696893,0.00060166576,0.0007037003,0.00018310052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029574686,0.00051776477,0.0007812559,0.001667749,0.000529667,0.001536062,0.0015752037,0.0012003165,0.004724033],"category_scores_gemma":[0.014771827,0.0004289641,0.000796788,0.001134148,0.0014399497,0.0025489272,0.0014899309,0.0018826014,0.001148575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004671987,0.00006813901,0.001828767,0.0004098434,0.00004179324,0.00010605558,0.00031986102,0.32612005,0.0011955047,0.47187003,0.0038292701,0.19416404],"study_design_scores_gemma":[0.000015364343,0.000046256027,0.00056805584,0.00009824973,0.00001587501,0.00014395187,0.00009065261,0.79796153,0.0011325998,0.1788319,0.021060884,0.000034725304],"about_ca_topic_score_codex":0.004691311,"about_ca_topic_score_gemma":0.002188918,"teacher_disagreement_score":0.004724033,"about_ca_system_score_codex":0.0019549914,"about_ca_system_score_gemma":0.0023633803,"threshold_uncertainty_score":0.015803456},"labels":[],"label_agreement":null},{"id":"W2145402771","doi":"","title":"Insights from Latin America for Canada: A Review Article on The Age of Productivity: Transforming Economies from the Bottom Up","year":2016,"lang":"en","type":"review","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Latin Americans; Economic geography; Geography; Economics; Economy; Political science; Economic growth","score_opus":0.07742350164617647,"score_gpt":0.2522908833166918,"score_spread":0.17486738167051535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145402771","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000104102925,0.9942292,0.00003837659,0.0029728399,0.00043273193,0.000002112442,0.000030457384,0.0000034852274,0.0021866783],"genre_scores_gemma":[0.0012376272,0.99618727,0.0000911667,0.0011427611,0.00027397118,0.0000029966877,0.000029323535,0.0000024328954,0.0010325793],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999485,0.00007142703,0.00004326954,0.00006538474,0.0002563989,0.000078497535],"domain_scores_gemma":[0.9982992,0.0005696124,0.00015612114,0.000026574873,0.0007752404,0.00017325654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010951745,0.0007926728,0.0010899372,0.004861771,0.0015731188,0.0041079978,0.00072426855,0.0017729426,0.0062715807],"category_scores_gemma":[0.0028206727,0.00021816466,0.00061011646,0.011162851,0.0016374056,0.0017809429,0.001086954,0.0022134536,0.0008754677],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008608526,0.000048929833,0.0010123826,0.035203036,0.00015613098,0.0005774365,0.0015441393,0.00042809086,0.001078706,0.03440059,0.23498555,0.6904789],"study_design_scores_gemma":[0.0000033652802,0.000008085778,0.0012315562,0.0067904172,0.00006350297,0.0002416023,0.00051989907,0.00002440227,0.00008920924,0.0014493526,0.9895626,0.000016053933],"about_ca_topic_score_codex":0.28056854,"about_ca_topic_score_gemma":0.4296453,"teacher_disagreement_score":0.71943146,"about_ca_system_score_codex":0.010666757,"about_ca_system_score_gemma":0.032503016,"threshold_uncertainty_score":0.55787086},"labels":[],"label_agreement":null},{"id":"W2147433324","doi":"","title":"Innovation policy in resource-rich economies","year":2008,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Strengths and weaknesses; Business; Innovation system; Public policy; National innovation system; Resource (disambiguation); Economic growth; Regional science; Economics; Economy; Industrial organization; Geography; Engineering","score_opus":0.04862960804414554,"score_gpt":0.2323975276051695,"score_spread":0.18376791956102395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147433324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49124846,0.01807105,0.0077327495,0.09829492,0.00028255454,0.00021490258,0.0010314581,0.00015231298,0.38297158],"genre_scores_gemma":[0.97317183,0.008796079,0.00081906805,0.0016122917,0.00009141247,0.000091861664,0.00013537901,0.000009357486,0.015272785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99864274,0.00048193868,0.00006235415,0.000108211774,0.00016327325,0.0005414604],"domain_scores_gemma":[0.9979348,0.0009604707,0.00035903673,0.00007272567,0.00030925262,0.00036370367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018529112,0.00018745947,0.0005709368,0.0015749211,0.0020161392,0.005621148,0.0005033224,0.002044239,0.0038564221],"category_scores_gemma":[0.00512342,0.0002502006,0.000320491,0.0025634945,0.0029049169,0.0028198748,0.0018706733,0.0016232328,0.00038628612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052460415,0.00009366763,0.009469271,0.00023338354,0.000042557785,0.00066376704,0.00090439996,0.030327862,0.0002607766,0.93288153,0.009732828,0.015337433],"study_design_scores_gemma":[0.00009950547,0.00013978413,0.03771691,0.00097410945,0.00009444782,0.00029855786,0.007671817,0.027242439,0.00112186,0.7799691,0.14459193,0.00007957713],"about_ca_topic_score_codex":0.061672322,"about_ca_topic_score_gemma":0.043532796,"teacher_disagreement_score":0.061672322,"about_ca_system_score_codex":0.010303694,"about_ca_system_score_gemma":0.012885351,"threshold_uncertainty_score":0.12262672},"labels":[],"label_agreement":null},{"id":"W2147693499","doi":"10.1016/j.jedc.2014.02.005","title":"A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors","year":2014,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Variation (astronomy); Economics; Economic geography","score_opus":0.006812201573317876,"score_gpt":0.1772672164951836,"score_spread":0.1704550149218657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147693499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96866935,0.0061656833,0.0010767487,0.008829226,0.00012351655,0.000024874967,0.0046715355,0.000048513408,0.010390515],"genre_scores_gemma":[0.9917532,0.0011957709,0.0003472784,0.00040520114,0.00003535719,0.000004606368,0.0014310017,0.000019185494,0.0048084054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880517,0.000117887146,0.000070888986,0.00020692818,0.00035941397,0.0004397291],"domain_scores_gemma":[0.99551105,0.001137811,0.0005017235,0.00019073447,0.001724279,0.00093431247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016071184,0.0003498621,0.00088082487,0.0020730174,0.0030362096,0.0030567502,0.0014748493,0.00092616293,0.005049365],"category_scores_gemma":[0.005059199,0.00020670629,0.001148681,0.006578656,0.0014158498,0.0011490186,0.0015195255,0.0016667886,0.00022640156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013590635,0.000054598964,0.9597683,0.00006405988,0.0003527836,0.00030181685,0.0019895544,0.0029983174,0.00046252485,0.005349143,0.005456784,0.023066232],"study_design_scores_gemma":[0.000010749461,0.000024773877,0.979742,0.00009416551,0.00019174036,0.00006647155,0.004372439,0.004372157,0.00018114183,0.0010851396,0.009814077,0.00004504485],"about_ca_topic_score_codex":0.9963205,"about_ca_topic_score_gemma":0.99794,"teacher_disagreement_score":0.022659624,"about_ca_system_score_codex":0.022659624,"about_ca_system_score_gemma":0.042501,"threshold_uncertainty_score":0.16440785},"labels":[],"label_agreement":null},{"id":"W2148137304","doi":"10.7202/044030ar","title":"Profils de chercheurs primo-entrepreneurs et stratégies de croissance de la jeune entreprise innovante","year":2010,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.023952629286159932,"score_gpt":0.2689188066771999,"score_spread":0.24496617739103999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148137304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799731,0.0011152715,0.005847248,0.00053528923,0.000020916288,0.00004077638,0.000067280576,0.000017551589,0.012382549],"genre_scores_gemma":[0.99085075,0.00054701575,0.0022978052,0.000039576815,0.0000123101545,0.00003700374,0.00006138651,0.000010695451,0.0061434717],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99805546,0.0007804025,0.000075559066,0.00032038896,0.00041178009,0.00035650277],"domain_scores_gemma":[0.9848785,0.009262214,0.002145603,0.0007278525,0.0015890037,0.0013967946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047175544,0.00033466093,0.00047151782,0.0019476116,0.001050642,0.0058036325,0.0005158876,0.0011802702,0.0056710024],"category_scores_gemma":[0.018467303,0.00028407937,0.00041809166,0.0014255043,0.001361909,0.0024461686,0.0014808036,0.0009782535,0.00083818706],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010698643,0.0005634429,0.6091263,0.00046376907,0.00023059169,0.0012393084,0.045207124,0.006244094,0.008367032,0.077066824,0.0017752172,0.24864642],"study_design_scores_gemma":[0.00008094747,0.0008865268,0.785882,0.0005714684,0.00022831449,0.0019673277,0.06261983,0.027585268,0.00944583,0.08008354,0.030439753,0.00020930683],"about_ca_topic_score_codex":0.0027683026,"about_ca_topic_score_gemma":0.0043158885,"teacher_disagreement_score":0.0058036325,"about_ca_system_score_codex":0.0012708597,"about_ca_system_score_gemma":0.001305417,"threshold_uncertainty_score":0.024949133},"labels":[],"label_agreement":null},{"id":"W2148454494","doi":"","title":"Search | Industry and Workforce Development | Manitoba Competitiveness, Training and Trade","year":2004,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Workforce; Workforce development; Business; Economic growth; Economics; Geography","score_opus":0.09792108488355063,"score_gpt":0.24180177957485854,"score_spread":0.14388069469130793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148454494","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64753014,0.05901161,0.0024161057,0.07358853,0.0012433489,0.00020348007,0.040451635,0.00037465317,0.17518057],"genre_scores_gemma":[0.80992156,0.025559241,0.00095241994,0.0029322251,0.0005267875,0.00009394087,0.0059610754,0.000064221524,0.15398851],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965644,0.00008501369,0.0000167654,0.000040622854,0.000091332506,0.000109821754],"domain_scores_gemma":[0.99530506,0.0017967529,0.00092930096,0.00010127938,0.0009372615,0.0009304663],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069252943,0.0005251754,0.0006608649,0.0036738527,0.0017550488,0.003241429,0.00076158706,0.0011250998,0.03746001],"category_scores_gemma":[0.004005289,0.0002528669,0.0003482724,0.013286178,0.0012923528,0.001497272,0.001141681,0.0015163573,0.0023358003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045935804,0.0004126913,0.66648096,0.0020333992,0.00031189717,0.0010788734,0.002080029,0.008081249,0.00072823407,0.04570163,0.16324097,0.10939071],"study_design_scores_gemma":[0.00012484723,0.00021831668,0.8305404,0.0013496635,0.00029350587,0.00033373333,0.012962215,0.007190706,0.00059842994,0.01401277,0.13229674,0.00007855235],"about_ca_topic_score_codex":0.9033658,"about_ca_topic_score_gemma":0.9589519,"teacher_disagreement_score":0.96254,"about_ca_system_score_codex":0.013678756,"about_ca_system_score_gemma":0.025326401,"threshold_uncertainty_score":0.19440657},"labels":[],"label_agreement":null},{"id":"W2148748769","doi":"10.3386/w20621","title":"Sources of Firm Life-Cycle Dynamics: Differentiating Size vs. Age Effects","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Dynamics (music); Econometrics; Demography; Mathematics; Psychology; Sociology","score_opus":0.17287362722043048,"score_gpt":0.4112735230065727,"score_spread":0.23839989578614224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148748769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96635926,0.0031592338,0.008837611,0.0026119903,0.000035574783,0.000087992354,0.008491804,0.00014476597,0.0102718705],"genre_scores_gemma":[0.99431795,0.00058410794,0.00057279196,0.00006914329,0.000019005392,0.000011372712,0.0022719186,0.000021966975,0.0021317818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995171,0.00008939179,0.000030190928,0.00012375553,0.000094794486,0.00014481186],"domain_scores_gemma":[0.9824478,0.008903286,0.0046066865,0.0012681527,0.0015642893,0.001209729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025098396,0.00027418006,0.00050208514,0.002059015,0.00046163073,0.0016451299,0.00073986687,0.00074835843,0.004096996],"category_scores_gemma":[0.014706887,0.00028180587,0.0008073128,0.0019218597,0.0005757449,0.0011092436,0.0010090509,0.00077508664,0.00046639304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012765086,0.000043172262,0.96086895,0.000062002444,0.00013663668,0.00019488914,0.00047936646,0.0055267266,0.0007702481,0.0065033245,0.0018790914,0.023407934],"study_design_scores_gemma":[0.000012703384,0.00003120221,0.96626097,0.00003770179,0.00013174159,0.000098742945,0.00045150187,0.02186249,0.00056865305,0.0062680854,0.0042459136,0.000030193407],"about_ca_topic_score_codex":0.11630863,"about_ca_topic_score_gemma":0.14994927,"teacher_disagreement_score":0.11630863,"about_ca_system_score_codex":0.0015324733,"about_ca_system_score_gemma":0.0014850978,"threshold_uncertainty_score":0.23126328},"labels":[],"label_agreement":null},{"id":"W2149934883","doi":"10.26481/umamer.2005028","title":"Comparing the innovation performance in Canadian, French and German manufacturing enterprises","year":2005,"lang":"en","type":"paratext","venue":"Data Archiving and Networked Services (DANS)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yardstick; Competition (biology); Pairwise comparison; German; Sample (material); Government (linguistics); Economics; Industrial organization; Probit model; Business; Econometrics; Statistics; Mathematics","score_opus":0.033491034994762706,"score_gpt":0.2400317424935251,"score_spread":0.2065407074987624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149934883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98915064,0.0007867457,0.00013597732,0.0002244619,0.000009586411,0.000007114626,0.0026909471,0.00002544002,0.0069690207],"genre_scores_gemma":[0.9937973,0.00042227856,0.00024571767,0.00002666837,0.0000054918523,0.0000039111187,0.0035868117,0.000005031976,0.0019068406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881905,0.00009574579,0.000044856068,0.00011799958,0.00047615822,0.00044610957],"domain_scores_gemma":[0.9963875,0.00077932567,0.00051797426,0.00011485904,0.001767239,0.00043320775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011270554,0.0003110485,0.00033583742,0.0042569996,0.000913505,0.001593526,0.0004349007,0.00035989014,0.0015151341],"category_scores_gemma":[0.004985268,0.000083410414,0.0005538666,0.0067504323,0.00055736344,0.0004387715,0.00070624537,0.00031970275,0.00023616914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000324785,0.000080484126,0.9235318,0.00013702332,0.00030069746,0.00028256455,0.0016475628,0.00931356,0.001090257,0.005158452,0.0057963803,0.05233644],"study_design_scores_gemma":[0.0000052634937,0.00003439884,0.9936119,0.000017050974,0.00003780853,0.000049302074,0.0009359246,0.0015978094,0.00054869987,0.000106678795,0.0030296438,0.000025525751],"about_ca_topic_score_codex":0.9602351,"about_ca_topic_score_gemma":0.9693433,"teacher_disagreement_score":0.98255336,"about_ca_system_score_codex":0.017446613,"about_ca_system_score_gemma":0.010652506,"threshold_uncertainty_score":0.12658465},"labels":[],"label_agreement":null},{"id":"W2151593687","doi":"10.7202/601391ar","title":"L’impact de la technologie informatique sur la main-d’oeuvre dans les organisations","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03189800077139486,"score_gpt":0.25338829957453374,"score_spread":0.22149029880313886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151593687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9164231,0.002312922,0.0021887016,0.0036158967,0.000055516153,0.00004480999,0.0003395708,0.000027543572,0.07499193],"genre_scores_gemma":[0.9774154,0.0013845697,0.0009820317,0.0001967118,0.000028104867,0.00002221735,0.00018288597,0.00001593684,0.019772148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99520963,0.0016173105,0.00013693674,0.00033677055,0.0016093345,0.0010901158],"domain_scores_gemma":[0.97576696,0.012026054,0.0030302326,0.0010321826,0.0054403376,0.0027042578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040226365,0.00042703183,0.00038461518,0.0019690092,0.0024801525,0.0056237606,0.00059997913,0.0012016194,0.015082103],"category_scores_gemma":[0.011573228,0.00023958087,0.0005051772,0.0023460635,0.0020886082,0.002141553,0.0022754765,0.0012527902,0.0022047719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084379857,0.0005819331,0.5638244,0.0010122324,0.00025176388,0.0016689695,0.088958465,0.0044926833,0.012026846,0.02331211,0.0066172234,0.29640958],"study_design_scores_gemma":[0.000027577555,0.00051215885,0.8240601,0.0005153612,0.00013055014,0.00045714423,0.060832817,0.0015653122,0.005125804,0.0033219468,0.10336048,0.00009076355],"about_ca_topic_score_codex":0.14959453,"about_ca_topic_score_gemma":0.23975052,"teacher_disagreement_score":0.14959453,"about_ca_system_score_codex":0.006901812,"about_ca_system_score_gemma":0.005911943,"threshold_uncertainty_score":0.29744762},"labels":[],"label_agreement":null},{"id":"W2152030590","doi":"10.1111/j.1540-5982.2011.01662.x","title":"The effects of cross‐border M&amp;As on the acquirers’ domestic performance: firm‐level evidence","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Matching (statistics); Mergers and acquisitions; Business; Monetary economics; Cross country; Investment (military); Industrial organization; Balance sheet; International economics; International trade; Economics; Finance; Macroeconomics; Statistics","score_opus":0.25572419692335263,"score_gpt":0.24275988751974747,"score_spread":0.012964309403605156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152030590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962554,0.0005757146,0.000089077395,0.00022971883,0.000004541827,0.0000041005346,0.00030325662,0.000008107399,0.00253006],"genre_scores_gemma":[0.9992893,0.00014069486,0.00003612175,0.000031835923,0.000011065188,0.0000013886964,0.00025646875,0.0000011088349,0.00023200134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981065,0.00072693976,0.00014168346,0.00030377667,0.00037516988,0.0003458888],"domain_scores_gemma":[0.95859146,0.014267585,0.02059076,0.0013681573,0.0026528304,0.0025292623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023008992,0.00023578462,0.00047305055,0.0015170982,0.00046065747,0.0016437569,0.00044235296,0.00051779934,0.0041717435],"category_scores_gemma":[0.009154666,0.00013024626,0.00036376726,0.0017157863,0.00081381586,0.00074658194,0.0012002581,0.00056410907,0.00051741104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001090019,0.00009080694,0.99222773,0.000031904154,0.00017137517,0.00015762035,0.00016981285,0.00041292456,0.00023300399,0.00036584013,0.0004248726,0.005605054],"study_design_scores_gemma":[0.0000050092804,0.00009031994,0.99794,0.000014386712,0.000054747867,0.00005597887,0.00057591236,0.00032560932,0.00024146725,0.00008214107,0.0006085017,0.000005895534],"about_ca_topic_score_codex":0.015328132,"about_ca_topic_score_gemma":0.018101145,"teacher_disagreement_score":0.015328132,"about_ca_system_score_codex":0.00077407947,"about_ca_system_score_gemma":0.0004424525,"threshold_uncertainty_score":0.030477822},"labels":[],"label_agreement":null},{"id":"W2152390714","doi":"10.2139/ssrn.1958753","title":"Adjusting to Skill Shortages: Complexity and Consequences","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Economic shortage; Set (abstract data type); Business; Process (computing); Phenomenon; Face (sociological concept); Demographic economics; Marketing; Labour economics; Economics; Computer science; Sociology","score_opus":0.08324404902413876,"score_gpt":0.24043448312189794,"score_spread":0.15719043409775918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152390714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948541,0.00066478027,0.025890239,0.0072987536,0.00015455623,0.00007208552,0.00040292958,0.0002730163,0.016702626],"genre_scores_gemma":[0.99665266,0.00012371478,0.0014797186,0.00034086566,0.000060257553,0.000012874875,0.00008464984,0.000027946997,0.001217275],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986041,0.00036092906,0.000105535575,0.00037525027,0.00019386284,0.0003602533],"domain_scores_gemma":[0.9915509,0.0037410334,0.0021326155,0.0010393033,0.00078552763,0.00075060653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031283232,0.00033572552,0.0009369356,0.0011035585,0.00062352885,0.0028125553,0.0012577921,0.002182112,0.0068758996],"category_scores_gemma":[0.028210696,0.0004210554,0.0005004167,0.00096022984,0.0009896561,0.002204018,0.0018277316,0.0010844924,0.00088628655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009814077,0.0009812403,0.41729152,0.00046863317,0.0005032058,0.002374972,0.001540428,0.16329226,0.0102206655,0.06134458,0.0151142115,0.32588682],"study_design_scores_gemma":[0.00019766903,0.0004005916,0.35521168,0.000103758946,0.000135914,0.0006297967,0.004414723,0.20103268,0.002246555,0.4247528,0.010763935,0.000109880355],"about_ca_topic_score_codex":0.004090534,"about_ca_topic_score_gemma":0.003675019,"teacher_disagreement_score":0.0068758996,"about_ca_system_score_codex":0.0007951542,"about_ca_system_score_gemma":0.00089873193,"threshold_uncertainty_score":0.023002207},"labels":[],"label_agreement":null},{"id":"W2153392429","doi":"10.1111/j.1467-6419.2012.00724.x","title":"A SURVEY OF THE INNOVATION SURVEYS","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Survey data collection; Economics; Economic geography","score_opus":0.09783950594619775,"score_gpt":0.267780279700068,"score_spread":0.16994077375387026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153392429","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78879404,0.018386697,0.0240035,0.011104793,0.00062286394,0.0011327715,0.08351677,0.00057532697,0.07186312],"genre_scores_gemma":[0.89156806,0.013986721,0.012528656,0.0046291533,0.0004801905,0.0017507217,0.049490605,0.00017051195,0.025395403],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9835616,0.007856453,0.0016195916,0.0012656108,0.004815335,0.00088149606],"domain_scores_gemma":[0.91283745,0.041109316,0.010850492,0.0056827525,0.026481444,0.0030385065],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.012458831,0.00025178576,0.00046942578,0.0091937585,0.0005117274,0.0015306941,0.00073017593,0.0011603163,0.0056490237],"category_scores_gemma":[0.04065922,0.00030153317,0.00039095292,0.011570278,0.0004354996,0.0016486102,0.0013823577,0.00090236415,0.0031682295],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028353895,0.00030964104,0.5153219,0.0018314131,0.00013634362,0.00022597244,0.0048431135,0.0007102366,0.0022457452,0.016964037,0.10931561,0.34781244],"study_design_scores_gemma":[0.00003047024,0.00038641944,0.54028165,0.00074651383,0.000035260375,0.0004975299,0.0035989292,0.0017090747,0.0012715539,0.0017917503,0.44959924,0.000051669005],"about_ca_topic_score_codex":0.0045780432,"about_ca_topic_score_gemma":0.00272182,"teacher_disagreement_score":0.9875412,"about_ca_system_score_codex":0.0017098953,"about_ca_system_score_gemma":0.0024440202,"threshold_uncertainty_score":0.06588936},"labels":[],"label_agreement":null},{"id":"W2154148280","doi":"10.7202/1008697ar","title":"Une caractérisation des entreprises manufacturières espagnoles à forte croissance : 1994-1998","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02716706897561009,"score_gpt":0.2506469943386198,"score_spread":0.22347992536300973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154148280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956599,0.000662995,0.00030826143,0.00018328323,0.0000048765414,0.000017021306,0.0007445042,0.000008811449,0.0024102207],"genre_scores_gemma":[0.9866801,0.0009162572,0.0009880571,0.00012653669,0.000012490389,0.00004112568,0.0019011226,0.000009693076,0.009324724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990451,0.000116191135,0.000071310256,0.00023220493,0.00033147883,0.00020374899],"domain_scores_gemma":[0.9965037,0.0007119255,0.0015128655,0.00008373828,0.0009590087,0.0002288052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009680981,0.00035736783,0.00024406359,0.0016993806,0.0005104827,0.00094998116,0.0005561244,0.0005821782,0.0032372647],"category_scores_gemma":[0.002335467,0.00029125757,0.00035429109,0.0028387967,0.00030411768,0.00061920565,0.00065951684,0.00056676386,0.000697528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002581506,0.00006494874,0.95187294,0.00015551446,0.00007990828,0.00047734464,0.004626731,0.00030252704,0.0032675117,0.00029101456,0.0008692797,0.037734143],"study_design_scores_gemma":[0.000002348804,0.00009258121,0.99190086,0.000023264382,0.000011573353,0.00012830358,0.003206047,0.00013169956,0.0003781395,0.000015784297,0.0041047377,0.0000045994802],"about_ca_topic_score_codex":0.08017936,"about_ca_topic_score_gemma":0.124806955,"teacher_disagreement_score":0.08017936,"about_ca_system_score_codex":0.0018827899,"about_ca_system_score_gemma":0.0011164965,"threshold_uncertainty_score":0.15942532},"labels":[],"label_agreement":null},{"id":"W2154709812","doi":"10.1080/13504851.2011.566175","title":"Testing for hysteresis in entrepreneurship in 23 OECD countries","year":2011,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entrepreneurship; Hysteresis; Economics; Persistence (discontinuity); Panel data; Econometrics; Condensed matter physics","score_opus":0.0704834006915441,"score_gpt":0.19934038326541828,"score_spread":0.12885698257387418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154709812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859816,0.00009153596,0.00013407023,0.000045395293,0.0000022512615,0.0000034240472,0.0006032881,0.000007309742,0.0005146787],"genre_scores_gemma":[0.9991092,0.000046347555,0.000044718472,0.000010420311,0.0000036899673,0.000004795384,0.0007134279,0.0000017440495,0.0000656097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913234,0.00026772098,0.00007288409,0.00017379665,0.00011753045,0.0002357183],"domain_scores_gemma":[0.98966414,0.0031443671,0.004661477,0.00076217996,0.00096455077,0.000803223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025237496,0.00025730874,0.00045366745,0.0022860614,0.00046442106,0.0011352001,0.0003633811,0.00031666207,0.0009271199],"category_scores_gemma":[0.0059599048,0.00017186644,0.00043478154,0.0029930568,0.00074152247,0.00044840388,0.0012483865,0.00048698296,0.00014867139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079830286,0.000025848258,0.99249,0.000012441483,0.000115151364,0.00009895467,0.0003425793,0.0022899434,0.00014532486,0.00022430654,0.00031909771,0.0038565416],"study_design_scores_gemma":[0.0000073934298,0.000040195795,0.9967854,0.000010492691,0.000030968855,0.00003539278,0.00054661423,0.0014206159,0.00019289252,0.00018103735,0.0007399656,0.00000914272],"about_ca_topic_score_codex":0.03667475,"about_ca_topic_score_gemma":0.0316074,"teacher_disagreement_score":0.03667475,"about_ca_system_score_codex":0.00079282763,"about_ca_system_score_gemma":0.00070191146,"threshold_uncertainty_score":0.07292253},"labels":[],"label_agreement":null},{"id":"W2155085051","doi":"10.7202/1008270ar","title":"Organisation et compétitivité des systèmes locaux de production en Espagne","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.023817749926865077,"score_gpt":0.2437031941053007,"score_spread":0.2198854441784356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155085051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208885,0.0014480618,0.025081972,0.00047695637,0.000015582715,0.000065889224,0.00064601656,0.00009253173,0.051284466],"genre_scores_gemma":[0.98354787,0.0006347134,0.0074823005,0.000024528126,0.000009389469,0.00004723922,0.00037165618,0.000023104027,0.007859138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852043,0.0004609174,0.000071455266,0.0002971882,0.00048304562,0.00016703164],"domain_scores_gemma":[0.99599993,0.0022782914,0.00055129896,0.0003395442,0.00065782014,0.00017322304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002156923,0.00043245233,0.00039395943,0.0023576398,0.00081485027,0.0035113818,0.00045473056,0.00071328395,0.010415934],"category_scores_gemma":[0.0043590553,0.00025820083,0.00071014505,0.004384971,0.0013802048,0.0019636154,0.0015830857,0.0004162591,0.0012551902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008123147,0.00021702897,0.40904874,0.0011856625,0.00051906845,0.0020765103,0.020595985,0.16527845,0.03030923,0.13353232,0.0029433842,0.23348139],"study_design_scores_gemma":[0.00013580442,0.0009900946,0.73988634,0.00034648695,0.0002574217,0.0017282258,0.0237654,0.065461874,0.011272497,0.06374397,0.09223799,0.00017398133],"about_ca_topic_score_codex":0.02028152,"about_ca_topic_score_gemma":0.017031495,"teacher_disagreement_score":0.02028152,"about_ca_system_score_codex":0.0029185752,"about_ca_system_score_gemma":0.0011002849,"threshold_uncertainty_score":0.040326953},"labels":[],"label_agreement":null},{"id":"W2157959022","doi":"10.1093/restud/rdr006","title":"How Q and Cash Flow Affect Investment without Frictions: An Analytic Explanation","year":2011,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Cash flow; Economics; Investment (military); Tobin's q; Monetary economics; Econometrics; Revenue; Microeconomics; Finance","score_opus":0.15173985944741608,"score_gpt":0.2994704882772712,"score_spread":0.1477306288298551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157959022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17758347,0.0094520245,0.6981321,0.015534953,0.00025265804,0.00027047656,0.0010157978,0.00059324526,0.09716523],"genre_scores_gemma":[0.96763813,0.004384283,0.017444804,0.0006777467,0.00009689196,0.000112456895,0.00012492012,0.00004253396,0.009478228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957556,0.00015770282,0.000021277154,0.00009690638,0.000057867095,0.00009057113],"domain_scores_gemma":[0.99702126,0.0020196727,0.00061024696,0.00014713194,0.00013643161,0.00006531631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015119108,0.0006891319,0.00069192547,0.00082746235,0.00037059817,0.0017211181,0.00076950673,0.0014034611,0.007387088],"category_scores_gemma":[0.009314363,0.00051064155,0.0009821736,0.0013222699,0.0013331827,0.0024812107,0.00082567317,0.0012177496,0.0006484533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051062467,0.00007649691,0.007662505,0.00024437442,0.000060432078,0.0005535074,0.00026213724,0.17535356,0.0017019857,0.7760552,0.004056185,0.03392251],"study_design_scores_gemma":[0.00007061615,0.00011231627,0.010302815,0.0002228074,0.000097171884,0.0003822271,0.00015749,0.29179007,0.0013000797,0.6839943,0.011492262,0.00007784582],"about_ca_topic_score_codex":0.0063578896,"about_ca_topic_score_gemma":0.0025821824,"teacher_disagreement_score":0.007387088,"about_ca_system_score_codex":0.0014972193,"about_ca_system_score_gemma":0.0010722965,"threshold_uncertainty_score":0.024712324},"labels":[],"label_agreement":null},{"id":"W2159099427","doi":"10.5539/ibr.v5n6p94","title":"Medium Sized High Tech International Acquisitions: A Longitudinal Perspective (1990-2011)","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Diversification (marketing strategy); Typology; Business; High tech; Sample (material); Perspective (graphical); Chart; Marketing; Industrial organization; Value creation; Finance; Computer science; Statistics","score_opus":0.10477411332017916,"score_gpt":0.35670532661785614,"score_spread":0.251931213297677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159099427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99301356,0.0009787142,0.0002353898,0.00044167083,0.0000071255104,0.000014911126,0.0009997552,0.0000044295994,0.0043045813],"genre_scores_gemma":[0.99431616,0.0011495728,0.0003135375,0.00008672867,0.000027572609,0.00002110423,0.001583632,0.0000028760867,0.0024987722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956363,0.00009672932,0.000039034912,0.000066195,0.00009390137,0.00014043064],"domain_scores_gemma":[0.9950588,0.0007778419,0.0023307889,0.000117122276,0.00068009767,0.0010354904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019086337,0.00018273719,0.00017616231,0.0024869612,0.0011514599,0.0020223777,0.00030593958,0.00049914356,0.0033861448],"category_scores_gemma":[0.0037991577,0.00020086468,0.00023874397,0.0022263422,0.00052587397,0.002642422,0.0015073034,0.0008652403,0.0006607868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012476352,0.00022261916,0.9807046,0.000029695719,0.000031388987,0.00029448123,0.0036321485,0.00017793523,0.00017695862,0.0013436689,0.0007690413,0.012492801],"study_design_scores_gemma":[0.000004034177,0.00023249329,0.9870625,0.00007515737,0.0000279127,0.00037494843,0.006189851,0.00034908784,0.00021213418,0.00039388394,0.0050637503,0.000014246477],"about_ca_topic_score_codex":0.018787572,"about_ca_topic_score_gemma":0.04411574,"teacher_disagreement_score":0.018787572,"about_ca_system_score_codex":0.0009836049,"about_ca_system_score_gemma":0.0010282838,"threshold_uncertainty_score":0.037356436},"labels":[],"label_agreement":null},{"id":"W2159296111","doi":"10.2139/ssrn.1384442","title":"Renewing Canada's Manufacturing Economy: A Regional Comparison, 1973-1996","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economy; Economics; Business; Economic geography","score_opus":0.01962306876358187,"score_gpt":0.20642832732155672,"score_spread":0.18680525855797486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159296111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576829,0.023893984,0.00039665334,0.013439785,0.00022077053,0.000099572666,0.033156976,0.00010537199,0.07100399],"genre_scores_gemma":[0.9690108,0.0054529333,0.00034163016,0.000498247,0.00005226358,0.000014430003,0.0055887126,0.000026395192,0.019014716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873215,0.000030303145,0.000049714334,0.000095100026,0.000553924,0.00053872564],"domain_scores_gemma":[0.99623716,0.0001221069,0.00049996417,0.000062767314,0.002436712,0.0006411706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074166845,0.0003808801,0.0004229457,0.003910557,0.0032420934,0.0043662484,0.0013313784,0.0011289002,0.004939618],"category_scores_gemma":[0.0035689266,0.00020181322,0.00062466995,0.012628004,0.0010172218,0.0011759738,0.0014461192,0.0009251684,0.00044497958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011225493,0.00016454089,0.7567522,0.00093453494,0.0005725957,0.0020098188,0.0067555117,0.0058319075,0.0014264089,0.025998931,0.063765004,0.13466601],"study_design_scores_gemma":[0.000015867572,0.00003739002,0.93772346,0.000117790834,0.00010678103,0.00018335461,0.003927129,0.00047894035,0.00038502386,0.00022366698,0.056773823,0.000026808686],"about_ca_topic_score_codex":0.99395096,"about_ca_topic_score_gemma":0.99836665,"teacher_disagreement_score":0.07451236,"about_ca_system_score_codex":0.07451236,"about_ca_system_score_gemma":0.080453604,"threshold_uncertainty_score":0.5406276},"labels":[],"label_agreement":null},{"id":"W2162115989","doi":"10.7202/007244ar","title":"Modes de recherche d’emploi et durée de chômage des jeunes : applications microéconométriques au Panel Téléphonique du CEREQ","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.2737208489045917,"score_gpt":0.32315473338233536,"score_spread":0.04943388447774366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162115989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753386,0.0005366076,0.01884206,0.0003638423,0.000008637645,0.000052160616,0.0009849094,0.000041287556,0.003831954],"genre_scores_gemma":[0.9884913,0.00024140062,0.007717272,0.000018249551,0.000010738164,0.000052319432,0.0004337636,0.00001469045,0.0030202817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790597,0.0011266995,0.00008697698,0.0004122785,0.00029161843,0.00017649234],"domain_scores_gemma":[0.95544887,0.03721077,0.00408593,0.0015330877,0.0011810205,0.00054037885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046347636,0.00032617943,0.00052119547,0.0016419713,0.0005581476,0.0033423812,0.00069470034,0.0010105729,0.005431725],"category_scores_gemma":[0.020347413,0.00042760617,0.0006741494,0.002630559,0.00065763644,0.0014856162,0.000988263,0.0010964897,0.00052441086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007442088,0.00018411677,0.82383996,0.0003341793,0.0005818305,0.00033557875,0.009745584,0.07886279,0.0034658879,0.018190995,0.0008104144,0.06290439],"study_design_scores_gemma":[0.000054556614,0.0002509006,0.8348123,0.00017087627,0.00024805748,0.00021699847,0.0074577024,0.13317047,0.0034064979,0.011639699,0.0084504215,0.000121504294],"about_ca_topic_score_codex":0.047969937,"about_ca_topic_score_gemma":0.05208581,"teacher_disagreement_score":0.047969937,"about_ca_system_score_codex":0.002173489,"about_ca_system_score_gemma":0.0014464463,"threshold_uncertainty_score":0.09538144},"labels":[],"label_agreement":null},{"id":"W2163316400","doi":"10.5539/ibr.v5n8p94","title":"Profitability in Swedish Micro Firms: A Quantile Regression Approach","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Ordinary least squares; Quantile regression; Econometrics; Productivity; Economics; Asset (computer security); Regression analysis; Business; Industrial organization; Microeconomics; Statistics; Mathematics; Finance; Macroeconomics; Computer science","score_opus":0.1525763352774198,"score_gpt":0.3642289528078824,"score_spread":0.21165261753046263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163316400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95947045,0.0018066337,0.031595618,0.00075879105,0.000035964833,0.000045197336,0.002111183,0.00027304524,0.0039030937],"genre_scores_gemma":[0.99576664,0.00030024955,0.001468528,0.000036644637,0.000024722562,0.000021297186,0.001077109,0.000023149072,0.0012816677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884343,0.00052737613,0.00004713007,0.00021718633,0.00015117119,0.00021361353],"domain_scores_gemma":[0.9959006,0.0028821758,0.0005785657,0.00022577711,0.000297721,0.000115184106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017775461,0.00029973034,0.0005491192,0.0018982288,0.00023086327,0.0012774817,0.0005713386,0.0005909075,0.0038679207],"category_scores_gemma":[0.0065459902,0.0002023352,0.00082412356,0.0022083279,0.00038168978,0.00065094244,0.00065255276,0.0009664923,0.0008044534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003271213,0.00016430553,0.7824109,0.00015383538,0.0006100416,0.00093051966,0.00092725793,0.11296315,0.0008517302,0.015140979,0.005907766,0.07961231],"study_design_scores_gemma":[0.000021714652,0.00014855314,0.62294424,0.00007904661,0.00017012253,0.0004195866,0.0011626092,0.35414368,0.0006379501,0.014067191,0.006145102,0.000060250004],"about_ca_topic_score_codex":0.01994009,"about_ca_topic_score_gemma":0.006089421,"teacher_disagreement_score":0.01994009,"about_ca_system_score_codex":0.00072476984,"about_ca_system_score_gemma":0.00031988052,"threshold_uncertainty_score":0.039648056},"labels":[],"label_agreement":null},{"id":"W2163744111","doi":"10.7202/000142ar","title":"Social Investment by Union-Based Pension Funds and Labour-Sponsored Investment Funds in Canada","year":2002,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fund of funds; Umbrella fund; Investment (military); Pension; Global assets under management; Closed-end fund; Open-ended investment company; Passive management; Business; Finance; Institutional investor; Directory; European union; Return on investment; Labour economics; Economics; Economic policy; Political science; Production (economics); Law; Corporate governance","score_opus":0.042474586711626225,"score_gpt":0.20250050227925986,"score_spread":0.16002591556763363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163744111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948986,0.00061564596,0.000025565534,0.00044387404,0.0000035401783,0.000008973354,0.0006522597,0.000002322441,0.003349125],"genre_scores_gemma":[0.99778914,0.000416149,0.000043146472,0.000027232181,0.0000034965094,0.0000043689784,0.0004097832,0.0000013754524,0.0013053521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987633,0.000102224534,0.000042199645,0.00007755369,0.00037856694,0.0006361273],"domain_scores_gemma":[0.99615175,0.0004304325,0.0012809973,0.000066858425,0.00074499554,0.001324952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085477915,0.00015550357,0.00031258512,0.0023227802,0.0020884303,0.0024013126,0.0005694165,0.0003642213,0.0021740082],"category_scores_gemma":[0.0044097556,0.00016656413,0.00026777652,0.003769634,0.00079506903,0.0005286545,0.0015248082,0.0005776866,0.00009079668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012322025,0.000040804076,0.9808529,0.000026011283,0.000038599235,0.0001370439,0.002578163,0.00036544687,0.00010849069,0.0022421547,0.0013841338,0.0121030295],"study_design_scores_gemma":[0.0000058305477,0.0000103868315,0.9925862,0.000034872664,0.000018732795,0.000026155036,0.0039007252,0.0003978328,0.00006248966,0.000115940624,0.0028318122,0.000009010072],"about_ca_topic_score_codex":0.9847792,"about_ca_topic_score_gemma":0.992159,"teacher_disagreement_score":0.03445951,"about_ca_system_score_codex":0.03445951,"about_ca_system_score_gemma":0.02705683,"threshold_uncertainty_score":0.2500224},"labels":[],"label_agreement":null},{"id":"W2163865948","doi":"10.7202/014173ar","title":"Une analyse longitudinale de la pérennité des expériences des travailleuses et des travailleurs autonomes canadiens","year":2006,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.040227174397252895,"score_gpt":0.252909684133172,"score_spread":0.2126825097359191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163865948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744725,0.00043938492,0.00037077398,0.0001355165,0.00000664136,0.000018451407,0.0004086638,0.0000030178687,0.0011703183],"genre_scores_gemma":[0.9959371,0.00045483766,0.0004243766,0.000051789983,0.000009535129,0.00007688726,0.0005048178,0.0000030003298,0.0025377094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922335,0.0002713154,0.000054486994,0.00013246396,0.00013006375,0.00018834736],"domain_scores_gemma":[0.99364716,0.0023822272,0.0015313869,0.00048775776,0.0013325949,0.00061888376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022062862,0.00021680663,0.00035694052,0.0011240247,0.0011240762,0.0011636019,0.00029708113,0.00042899657,0.004489461],"category_scores_gemma":[0.0068919123,0.00028182333,0.00047972618,0.0017275311,0.00041717675,0.00089694356,0.00090910966,0.0006884703,0.00060066744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016021998,0.00017903344,0.9553133,0.000079915066,0.00011493138,0.00013282106,0.018898765,0.00023273617,0.00046980337,0.0004195552,0.00029981803,0.023699151],"study_design_scores_gemma":[0.0000031739892,0.00018896161,0.98737866,0.00005659093,0.000031550626,0.00005604503,0.009799469,0.00013575691,0.00018605616,0.00012179072,0.0020268774,0.0000150005235],"about_ca_topic_score_codex":0.05272274,"about_ca_topic_score_gemma":0.079124235,"teacher_disagreement_score":0.94727725,"about_ca_system_score_codex":0.0009270462,"about_ca_system_score_gemma":0.0014295765,"threshold_uncertainty_score":0.104831755},"labels":[],"label_agreement":null},{"id":"W2164834995","doi":"10.1002/smj.972","title":"Unpacking Firm Exit at the Firm and Industry Levels: The Adaptation and Selection of Firm Capabilities","year":2011,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unpacking; Selection (genetic algorithm); Adaptation (eye); Business; Work (physics); Industrial organization; Dynamic capabilities; Bridge (graph theory); Marketing; Knowledge management; Computer science; Psychology; Engineering","score_opus":0.14611935196557982,"score_gpt":0.24103050493880962,"score_spread":0.0949111529732298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164834995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352723,0.00012059306,0.0032273931,0.00020422552,0.000003815511,0.000012731294,0.000063344596,0.000008728005,0.0028317908],"genre_scores_gemma":[0.9993789,0.000018864428,0.00031571687,0.000011251891,0.0000037340296,0.00000441021,0.00004271244,0.0000018272759,0.0002225971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998858,0.00044633978,0.00007772475,0.00021696756,0.00016188958,0.00023897317],"domain_scores_gemma":[0.9848935,0.007468845,0.0041553224,0.0010731494,0.0007590562,0.001650079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003746,0.00024725337,0.00062257185,0.0016681873,0.000605651,0.0029683714,0.0004228294,0.00060124823,0.004448954],"category_scores_gemma":[0.0112718,0.00016972216,0.0006598441,0.0012528416,0.0022241708,0.0028079757,0.0031723164,0.0012050127,0.00021676302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031112367,0.00017351586,0.9371271,0.000057106834,0.00021104167,0.00034952717,0.0028368647,0.0066200723,0.001710411,0.023024835,0.00027548158,0.02730288],"study_design_scores_gemma":[0.000016748205,0.00027498478,0.94816315,0.00004645412,0.000081089536,0.0001623949,0.00311437,0.019587528,0.00063692173,0.026953962,0.00092682923,0.00003544983],"about_ca_topic_score_codex":0.0023640988,"about_ca_topic_score_gemma":0.0023825977,"teacher_disagreement_score":0.004448954,"about_ca_system_score_codex":0.0007600815,"about_ca_system_score_gemma":0.00043004006,"threshold_uncertainty_score":0.01488322},"labels":[],"label_agreement":null},{"id":"W2165021862","doi":"10.1111/j.1540-5982.2010.01611.x","title":"With whom do you trade? Defensive innovation and the skill‐bias","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intellectual property; Index (typography); Construct (python library); International trade; Economics; International economics; Business; Law; Political science","score_opus":0.09381005402190243,"score_gpt":0.16771586363079358,"score_spread":0.07390580960889115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165021862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865035,0.0009781139,0.000769604,0.002881005,0.000024179175,0.0000057527386,0.00008220437,0.0000047283834,0.00875084],"genre_scores_gemma":[0.99900454,0.00017274635,0.000055740686,0.00013017624,0.00002605472,0.0000013345735,0.000021080366,0.000001192495,0.0005870769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992077,0.00023170581,0.00003987496,0.00012215012,0.00014873814,0.00024981628],"domain_scores_gemma":[0.978437,0.01280066,0.0061515486,0.00083394395,0.0006738363,0.0011030912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436232,0.00011340489,0.00034755448,0.0012396666,0.0003666063,0.0015048411,0.00030125387,0.0009616196,0.005706605],"category_scores_gemma":[0.019011874,0.00007812005,0.00024420393,0.0011538365,0.0012742225,0.0013743169,0.00075583474,0.00083269016,0.00076905766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013557429,0.00015183889,0.95060974,0.000031191514,0.00007182109,0.0003367686,0.001888249,0.00050913554,0.0004517807,0.008437571,0.0011316821,0.036244705],"study_design_scores_gemma":[0.000036526613,0.00013353479,0.9352455,0.0001233053,0.00008515896,0.0008845428,0.0055410187,0.003799761,0.0006749364,0.047985394,0.0054630633,0.000027328928],"about_ca_topic_score_codex":0.0034860736,"about_ca_topic_score_gemma":0.003857798,"teacher_disagreement_score":0.005706605,"about_ca_system_score_codex":0.00043696395,"about_ca_system_score_gemma":0.00036020816,"threshold_uncertainty_score":0.019090533},"labels":[],"label_agreement":null},{"id":"W2165588285","doi":"10.1093/ajae/aau049","title":"Estimating the Impact of Minimum Wages on Employment, Wages, and Non‐Wage Benefits: The Case of Agriculture in South Africa","year":2014,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Economics; Wage; Minimum wage; Legislation; Agriculture; Margin (machine learning); Labour economics; Work (physics); Efficiency wage; Sample (material); Demographic economics; Geography","score_opus":0.015258936954483538,"score_gpt":0.2167947759197281,"score_spread":0.20153583896524455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165588285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982804,0.0001226148,0.000783669,0.00021103141,0.000003528638,0.000030492027,0.00013584108,0.0000036615058,0.00042869564],"genre_scores_gemma":[0.9983442,0.00016143407,0.0008363561,0.000037287748,0.000007495889,0.000034276927,0.000193575,0.0000025559677,0.0003828444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690056,0.0019770882,0.00010483856,0.00025994307,0.00022190598,0.0005357395],"domain_scores_gemma":[0.9848899,0.010989801,0.002942944,0.0004027377,0.00035539683,0.00041912557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040228525,0.0005675374,0.00086193444,0.001081858,0.0007203272,0.0013738268,0.0012607042,0.0010786189,0.0017778516],"category_scores_gemma":[0.015753804,0.0005008715,0.001007058,0.0019168586,0.0009923881,0.0012900794,0.0019316955,0.0017071578,0.00020119015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000542849,0.00073471316,0.9242134,0.00023322098,0.0007756955,0.0014381481,0.0017248793,0.044632353,0.0015567583,0.0028201484,0.00059555966,0.020732157],"study_design_scores_gemma":[0.00010952677,0.00062726444,0.9344909,0.00009873465,0.00039809235,0.00014035568,0.0050911056,0.054962344,0.0011874475,0.0012893918,0.0015663833,0.000038453672],"about_ca_topic_score_codex":0.11610485,"about_ca_topic_score_gemma":0.10653847,"teacher_disagreement_score":0.11610485,"about_ca_system_score_codex":0.002471003,"about_ca_system_score_gemma":0.0016034555,"threshold_uncertainty_score":0.23085809},"labels":[],"label_agreement":null},{"id":"W2166405659","doi":"","title":"Renouvellement de l'economie manufacturiere au Canada: une comparaison regionale, 1973 a 1996","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.041991403715401894,"score_gpt":0.2754031819037864,"score_spread":0.2334117781883845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166405659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371173,0.016623689,0.0009203261,0.0036707483,0.0000540606,0.000050399198,0.01787226,0.000108042295,0.023583176],"genre_scores_gemma":[0.95929074,0.010796369,0.00084229436,0.00027489808,0.000028076958,0.000038090315,0.005956737,0.000038148337,0.022734668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983595,0.00006163984,0.000064454805,0.00019132436,0.00077633193,0.0005467366],"domain_scores_gemma":[0.9944807,0.00043025048,0.00087494846,0.00015306257,0.0034304834,0.00063048396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010292174,0.0004686775,0.00056226866,0.0042806244,0.0019536084,0.0025135297,0.0009117077,0.0004863321,0.0037152998],"category_scores_gemma":[0.0034153878,0.0003595863,0.0008483224,0.012471539,0.0010447447,0.0007590826,0.0009912371,0.0010556016,0.00041761802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056932657,0.00008549836,0.8004561,0.0004603502,0.00043093096,0.00050750084,0.011144604,0.0041683144,0.0016552776,0.007861394,0.012554393,0.16010633],"study_design_scores_gemma":[0.000007990877,0.000029842606,0.9659531,0.000083540144,0.000060091254,0.00007256032,0.0020796417,0.00028901268,0.00055343064,0.00011460488,0.030732889,0.000023361308],"about_ca_topic_score_codex":0.99390596,"about_ca_topic_score_gemma":0.9964449,"teacher_disagreement_score":0.9518069,"about_ca_system_score_codex":0.048193127,"about_ca_system_score_gemma":0.05868648,"threshold_uncertainty_score":0.34966725},"labels":[],"label_agreement":null},{"id":"W2166896758","doi":"","title":"Did they stay or did they go? Digital talent and ICT anchor firm restructuring in Waterloo region","year":2015,"lang":"en","type":"article","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Restructuring; Information and Communications Technology; Business; Digital transformation; Public relations; Marketing; Political science; Computer science; Finance; World Wide Web","score_opus":0.17546313641773817,"score_gpt":0.28073508628858884,"score_spread":0.10527194987085067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166896758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933027,0.00013495701,0.000027403514,0.0011093436,0.000003007815,0.000004365757,0.00020781702,0.0000042830757,0.005206313],"genre_scores_gemma":[0.99581367,0.00009428137,0.000013876998,0.00005151944,0.0000031790903,0.0000021640924,0.00010245873,0.0000022062745,0.00391665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946517,0.000059556263,0.000015028054,0.000048821323,0.000084982756,0.000326481],"domain_scores_gemma":[0.9974617,0.00038224703,0.0007242061,0.00005185126,0.00038744445,0.0009925078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055747345,0.00005469151,0.00023626981,0.0010547885,0.0011068106,0.0022275469,0.00057379296,0.00046882004,0.006918005],"category_scores_gemma":[0.0029535494,0.00010862798,0.00015919021,0.0023597763,0.0009926873,0.0016773216,0.0014350347,0.0006696465,0.0006376836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026022253,0.00015298175,0.93391025,0.000033000924,0.00003507601,0.0008071735,0.028124226,0.0004024089,0.00074572605,0.006654458,0.004796941,0.024077475],"study_design_scores_gemma":[0.0000076127308,0.000033148204,0.95005697,0.000025333746,0.000011431006,0.000037975224,0.043614615,0.00027586424,0.00008257512,0.00034956372,0.005493449,0.000011462981],"about_ca_topic_score_codex":0.76277816,"about_ca_topic_score_gemma":0.91454816,"teacher_disagreement_score":0.23722184,"about_ca_system_score_codex":0.007536512,"about_ca_system_score_gemma":0.005052864,"threshold_uncertainty_score":0.47723776},"labels":[],"label_agreement":null},{"id":"W2166906903","doi":"","title":"Business Dynamics and Productivity Growth with an Application to Taiwanese Electronics Firms","year":2009,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Productivity; Perspective (graphical); Dynamics (music); Corporate governance; Computer science; Industrial organization; Empirical research; Business ecosystem; Business process; Knowledge management; Data science; Business; Marketing; Economics; Artificial intelligence; Work in process; Finance; Sociology","score_opus":0.007957844162860281,"score_gpt":0.19802698427703894,"score_spread":0.19006914011417866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166906903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865644,0.00085204485,0.004911407,0.0009146421,0.000017871176,0.000050515984,0.0007474819,0.00004552189,0.00589619],"genre_scores_gemma":[0.99579984,0.0006507191,0.0021380594,0.00001928153,0.000029302237,0.000037934235,0.0005421987,0.0000048166926,0.00077794737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966824,0.00016146716,0.000023289294,0.000049524402,0.00004709541,0.000050481154],"domain_scores_gemma":[0.99371886,0.004422896,0.0010100193,0.00021967237,0.0004315525,0.00019696318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011714888,0.0003271405,0.0002860528,0.0035524014,0.00062641833,0.0010165737,0.0003748464,0.00046564007,0.0025064335],"category_scores_gemma":[0.0071741985,0.00011311587,0.00045336652,0.006544698,0.0006753983,0.0008671742,0.0011822506,0.0008411334,0.00025980247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011101977,0.00027764964,0.8631113,0.00016066279,0.000096682124,0.001423365,0.0020469665,0.028243138,0.0006058125,0.019357627,0.0036144424,0.08095126],"study_design_scores_gemma":[0.000043942626,0.00031615346,0.73386264,0.00009956049,0.00010119424,0.0004558601,0.004162744,0.23529069,0.0008824417,0.018134195,0.0065874793,0.00006305985],"about_ca_topic_score_codex":0.04886481,"about_ca_topic_score_gemma":0.027022118,"teacher_disagreement_score":0.04886481,"about_ca_system_score_codex":0.0014657911,"about_ca_system_score_gemma":0.00066587015,"threshold_uncertainty_score":0.09716076},"labels":[],"label_agreement":null},{"id":"W2167546672","doi":"10.5539/ijef.v4n12p105","title":"Assessing Determinants on Job Creation at the Firm Level: Swedish Micro Firm Data","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generalized method of moments; Job creation; Panel data; Business; Industrial organization; Econometrics; Labour economics; Economics","score_opus":0.12750611691920608,"score_gpt":0.3140728893320309,"score_spread":0.18656677241282485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167546672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98857135,0.00036313385,0.00047626483,0.00006528127,0.0000106677535,0.000020580645,0.009527205,0.000021734237,0.000943883],"genre_scores_gemma":[0.9655402,0.00038810124,0.0006780471,0.000032574684,0.000028353868,0.00006734175,0.03113063,0.0000111312165,0.0021235896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895275,0.00024539698,0.00010073906,0.00019388983,0.00024949832,0.00025768374],"domain_scores_gemma":[0.9963967,0.0015979356,0.0010301381,0.00024086678,0.0003489789,0.00038530395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011322119,0.00052456063,0.0007933487,0.003531271,0.0004854972,0.0012753238,0.00044922275,0.00068060233,0.002598695],"category_scores_gemma":[0.0023544086,0.0003202311,0.0006096024,0.004357857,0.00026930784,0.00036335134,0.0011706331,0.00049328443,0.0013859748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019704315,0.00020311019,0.9783245,0.00011512118,0.00024007804,0.00037127174,0.00062169496,0.0042569726,0.0005221993,0.00029610106,0.0030967933,0.011755094],"study_design_scores_gemma":[0.000015730137,0.00010270669,0.9917834,0.000037087066,0.00008151824,0.00012004057,0.0014137615,0.0017275534,0.00044772142,0.00016298836,0.0040913112,0.000016207532],"about_ca_topic_score_codex":0.034102097,"about_ca_topic_score_gemma":0.038771145,"teacher_disagreement_score":0.034102097,"about_ca_system_score_codex":0.0004579299,"about_ca_system_score_gemma":0.00090863905,"threshold_uncertainty_score":0.0678072},"labels":[],"label_agreement":null},{"id":"W2167824682","doi":"10.1002/jae.2285","title":"PANEL PROBIT WITH FLEXIBLE CORRELATED EFFECTS: QUANTIFYING TECHNOLOGY SPILLOVERS IN THE PRESENCE OF LATENT HETEROGENEITY","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Spurious relationship; Bayesian probability; Markov chain Monte Carlo; Latent class model; Probit model; Economics; Latent variable; Nonparametric statistics; Probit; Mixture model; Panel data; Statistics; Mathematics","score_opus":0.08490092535006308,"score_gpt":0.2428067245427972,"score_spread":0.15790579919273412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167824682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16396143,0.000712057,0.8284005,0.0013077311,0.000042736923,0.000072057206,0.0011143056,0.00031834637,0.0040708077],"genre_scores_gemma":[0.9687783,0.0004289829,0.027718306,0.00017738936,0.000086584434,0.00010635685,0.00057878514,0.000045844703,0.0020794102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99622166,0.0021967273,0.00017221144,0.0005251969,0.00057583593,0.00030837924],"domain_scores_gemma":[0.95076734,0.038260818,0.006404576,0.0027753604,0.0012745885,0.0005172745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009029137,0.0006505985,0.0012672595,0.0013355357,0.0004782355,0.0026968713,0.0015205019,0.0015534408,0.0038955256],"category_scores_gemma":[0.034968175,0.0007166113,0.0011310045,0.0021893033,0.0014341057,0.0025920775,0.0021503516,0.0022958226,0.0005172781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011769636,0.0000880281,0.029313669,0.00011844279,0.00026313815,0.00045940102,0.00020054208,0.84238964,0.00054051745,0.10013517,0.0016948057,0.024678936],"study_design_scores_gemma":[0.000018778223,0.000046552716,0.0067556943,0.000045328623,0.000092268216,0.000054147466,0.000057318615,0.9105007,0.00028007381,0.08123933,0.00087654096,0.000033241686],"about_ca_topic_score_codex":0.009452072,"about_ca_topic_score_gemma":0.0056036343,"teacher_disagreement_score":0.009452072,"about_ca_system_score_codex":0.0012974871,"about_ca_system_score_gemma":0.0012752874,"threshold_uncertainty_score":0.04775119},"labels":[],"label_agreement":null},{"id":"W2168551943","doi":"10.1093/ajae/aat080","title":"Agricultural Prices, Selection, and the Evolution of the Food Industry","year":2013,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Agriculture; Productivity; Food industry; Economics; Agricultural economics; Falling (accident); Food processing; Selection (genetic algorithm); Fell; Industrial organization; Macroeconomics; Ecology","score_opus":0.006550377226603508,"score_gpt":0.15941470718550027,"score_spread":0.15286432995889676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168551943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631013,0.0005275213,0.015690867,0.002285575,0.000024408251,0.000031101306,0.00034848877,0.00007202845,0.017918622],"genre_scores_gemma":[0.9957967,0.00023041108,0.00060466834,0.000059159167,0.00001709029,0.000008339776,0.00007230637,0.000007890748,0.0032035175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998178,0.0000558534,0.000006436966,0.000043266944,0.00002629278,0.000050285205],"domain_scores_gemma":[0.99900764,0.00043156935,0.00027118722,0.00005722184,0.00007310275,0.00015925775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006637691,0.00023700713,0.00041772114,0.0006476976,0.00044763467,0.0024406258,0.0004981397,0.0012374287,0.0064258315],"category_scores_gemma":[0.0028061192,0.00030061093,0.00045804013,0.0006395275,0.0010782111,0.0013011347,0.0005569904,0.0007916651,0.00092835526],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059877604,0.00042605682,0.280402,0.00011201742,0.00016861613,0.0018496418,0.0009441124,0.36036822,0.007516232,0.30291188,0.0053185746,0.039383918],"study_design_scores_gemma":[0.00026845164,0.00033148404,0.15325335,0.00005669417,0.00009337346,0.00073409255,0.0008098544,0.50297195,0.0014664289,0.32862,0.011299135,0.00009522163],"about_ca_topic_score_codex":0.006330844,"about_ca_topic_score_gemma":0.004777246,"teacher_disagreement_score":0.0064258315,"about_ca_system_score_codex":0.001222359,"about_ca_system_score_gemma":0.00047687188,"threshold_uncertainty_score":0.021496534},"labels":[],"label_agreement":null},{"id":"W2168852089","doi":"10.7202/022815ar","title":"A Spatio-Temporal Examination of Canada’s Domestic Merger Activity, 1971-1991.","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Metropolitan area; Census; Geography; Regional science; Perspective (graphical); Descriptive statistics; Economic geography; Demographic economics; Demography; Sociology; Statistics; Economics; Archaeology; Population; Mathematics","score_opus":0.011938951156157496,"score_gpt":0.19465485009571012,"score_spread":0.18271589893955262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168852089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551079,0.004323104,0.0002854693,0.0011119234,0.000020633877,0.000041432177,0.026365211,0.00002521566,0.012719065],"genre_scores_gemma":[0.98173255,0.0020353291,0.00022420466,0.00007911186,0.000013413795,0.000014637167,0.011221674,0.0000060965604,0.0046730023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943954,0.000025775904,0.000027292055,0.000059211998,0.00024175584,0.0002064586],"domain_scores_gemma":[0.9962121,0.00025853328,0.0009992002,0.000076787575,0.0019625353,0.0004907962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053515914,0.0002338496,0.00024325441,0.005579396,0.0020817243,0.0016007974,0.00059883366,0.0003526853,0.0030082504],"category_scores_gemma":[0.0025868632,0.00018208512,0.00025784704,0.013655969,0.0006342373,0.00056946697,0.0010753332,0.0005661875,0.0003785136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001369573,0.000056333647,0.96061754,0.00015845608,0.000094816176,0.00038508463,0.0032231966,0.0012049478,0.00039928773,0.00179653,0.008552167,0.023374598],"study_design_scores_gemma":[8.9312545e-7,0.000006057017,0.9947976,0.00001723096,0.000007493168,0.000030654763,0.0013604558,0.0002114876,0.000051584113,0.000013578704,0.0034985659,0.000004341762],"about_ca_topic_score_codex":0.9926351,"about_ca_topic_score_gemma":0.99738497,"teacher_disagreement_score":0.025166584,"about_ca_system_score_codex":0.025166584,"about_ca_system_score_gemma":0.021983776,"threshold_uncertainty_score":0.18259722},"labels":[],"label_agreement":null},{"id":"W2168990355","doi":"","title":"The Distribution of Employment Growth Rates in Canada: The Role of High-growth and Rapidly Shrinking Firms","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Quantile regression; Resizing; Quantile; Demographic economics; Economics; Econometrics; Longitudinal data; Job creation; Aggregate (composite); Labour economics; Demography; Mathematics; International trade; Sociology","score_opus":0.018168755137762997,"score_gpt":0.2404658020502208,"score_spread":0.2222970469124578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168990355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821682,0.0013676595,0.00047452323,0.0010103583,0.000010063511,0.000017026536,0.011085107,0.000044957367,0.0038220522],"genre_scores_gemma":[0.994636,0.0004730239,0.00014794047,0.000051181058,0.000005969448,0.0000035898984,0.0037926976,0.0000106096295,0.0008789282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989593,0.00007162138,0.000040506427,0.00016317991,0.00033266927,0.0004326368],"domain_scores_gemma":[0.9929288,0.0012033081,0.001484095,0.0003086444,0.0028025236,0.0012725642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012045571,0.00024404451,0.00042090652,0.0029369981,0.0014025758,0.001900863,0.0010792336,0.00040167224,0.0019273977],"category_scores_gemma":[0.0064040213,0.00021615252,0.0004061642,0.0065645045,0.0011650665,0.0006175284,0.00096080406,0.00080065825,0.00026091404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011540763,0.000020789912,0.9773415,0.00003420767,0.000054858814,0.00013454074,0.000943171,0.0030199813,0.00020780349,0.0019309067,0.0038602029,0.01233668],"study_design_scores_gemma":[0.000005895609,0.0000062317085,0.9925236,0.000026996659,0.000010873674,0.00003894083,0.0009932875,0.0036244285,0.00011967563,0.00024203378,0.0023908992,0.000017229222],"about_ca_topic_score_codex":0.9920453,"about_ca_topic_score_gemma":0.99267393,"teacher_disagreement_score":0.019895311,"about_ca_system_score_codex":0.019895311,"about_ca_system_score_gemma":0.020593343,"threshold_uncertainty_score":0.1443513},"labels":[],"label_agreement":null},{"id":"W2169784988","doi":"10.1007/s10842-013-0167-8","title":"Regional Patterns in Gasoline Station Rationalization in Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Industry Competition and Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rationalization (economics); Full service; Gasoline; Automotive industry; Business; Refinery; Panel data; Environmental science; Econometrics; Economics; Engineering; Environmental engineering; Commerce; Microeconomics; Waste management","score_opus":0.026798956707474765,"score_gpt":0.2014333724267773,"score_spread":0.17463441571930255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169784988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926716,0.00060032227,0.00014167154,0.0006225842,0.000005161257,0.00001729036,0.0015629884,0.000017585806,0.0043608123],"genre_scores_gemma":[0.99698514,0.000212916,0.00009228063,0.000035671186,0.0000022721727,0.0000027425206,0.0006006522,0.0000066786433,0.0020616383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902356,0.00006314031,0.00005364129,0.00017650037,0.00023171966,0.00045143135],"domain_scores_gemma":[0.9935586,0.0008424488,0.0013336095,0.00020870662,0.0032015005,0.00085519126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085269054,0.0001874979,0.00041561044,0.0025125388,0.0020936143,0.002561637,0.0011687257,0.00068064645,0.0053465464],"category_scores_gemma":[0.0042539467,0.0003445361,0.0005399107,0.005583231,0.0013367884,0.0005881868,0.0010542389,0.00080371974,0.00032004464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030257713,0.000054796194,0.9686612,0.000057953308,0.00015012719,0.00030425453,0.004616259,0.00298371,0.0010853249,0.0051829433,0.0033625518,0.013238227],"study_design_scores_gemma":[0.000008472313,0.0000104996825,0.9922437,0.000025485546,0.000023119148,0.00003329005,0.0031297873,0.0013413057,0.0001851661,0.00012798431,0.0028480776,0.000023061719],"about_ca_topic_score_codex":0.99422956,"about_ca_topic_score_gemma":0.9979286,"teacher_disagreement_score":0.03474385,"about_ca_system_score_codex":0.03474385,"about_ca_system_score_gemma":0.028048595,"threshold_uncertainty_score":0.25208545},"labels":[],"label_agreement":null},{"id":"W2169878965","doi":"","title":"Canadian Labour Productivity Differences Across Firm Size Classes, 2002 to 2008","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Gross domestic product; Business; Labour economics; Product (mathematics); Agricultural economics; Demographic economics; Economics; Economic growth","score_opus":0.04876128057850332,"score_gpt":0.29320379910558453,"score_spread":0.2444425185270812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169878965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74396884,0.0059471875,0.00047244338,0.0032482685,0.00017173115,0.000106092695,0.2041891,0.00023093508,0.04166543],"genre_scores_gemma":[0.9009998,0.0023685838,0.00052820094,0.00033714212,0.0000429148,0.000048389014,0.061921053,0.000047946378,0.033705976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982297,0.00004309806,0.00006786409,0.00024814755,0.00078824733,0.0006229696],"domain_scores_gemma":[0.9931238,0.00019493434,0.0006934297,0.0001337331,0.0047847633,0.0010694002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011043393,0.00061739335,0.0005391491,0.005318258,0.0029010645,0.00201179,0.001471556,0.00050146744,0.0066065933],"category_scores_gemma":[0.00426555,0.00036900592,0.00070402375,0.010933965,0.00053183123,0.0006987463,0.0010797812,0.0009473153,0.0013126276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007270444,0.000116147065,0.83816856,0.0004382622,0.00027169634,0.0003099764,0.0056150197,0.0015392785,0.0008479066,0.0031989422,0.08790518,0.06086194],"study_design_scores_gemma":[0.000008342613,0.000014083861,0.9830589,0.00003777068,0.000018489245,0.000025673568,0.0010126618,0.00019918704,0.00013225146,0.000031609157,0.015444131,0.000017049162],"about_ca_topic_score_codex":0.99859875,"about_ca_topic_score_gemma":0.9992889,"teacher_disagreement_score":0.9329387,"about_ca_system_score_codex":0.06706128,"about_ca_system_score_gemma":0.04666107,"threshold_uncertainty_score":0.48656595},"labels":[],"label_agreement":null},{"id":"W2170281794","doi":"10.2139/ssrn.385781","title":"Public Economics and Startup Entrepreneurs","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Spillover effect; Incentive; Externality; Market failure; Information asymmetry; Business; Equity (law); Public policy; Government (linguistics); Entrepreneurship; Loan; Economics; Face (sociological concept); Finance; Industrial organization; Public economics; Market economy; Microeconomics; Economic growth","score_opus":0.02642030840995432,"score_gpt":0.1918207906180972,"score_spread":0.16540048220814288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170281794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83266824,0.004813923,0.0010364377,0.035881445,0.00014456987,0.000038231912,0.0002626828,0.000042436473,0.12511201],"genre_scores_gemma":[0.98382276,0.0015063311,0.000048988953,0.0004197913,0.00013746657,0.000009041862,0.000051687508,0.0000055413984,0.013998349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947923,0.00014931872,0.000014460083,0.00003030095,0.000062906875,0.000263813],"domain_scores_gemma":[0.98672605,0.007329187,0.0025433244,0.00041494504,0.00058794586,0.0023985947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015385989,0.00014515095,0.00042408018,0.0013728184,0.0014200095,0.004400092,0.00024423,0.0017416601,0.016427191],"category_scores_gemma":[0.00939452,0.00014810034,0.00017117056,0.0014585208,0.0015826283,0.0029426964,0.0014002896,0.002090971,0.00075653417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007704591,0.0021691495,0.3997079,0.00019718317,0.00008910066,0.0022604077,0.0063380348,0.001633171,0.0004333219,0.45275968,0.030481454,0.103160195],"study_design_scores_gemma":[0.0002629748,0.00041320128,0.3884651,0.00067751075,0.00015345564,0.0012530747,0.051380284,0.00422001,0.0012083695,0.44455665,0.107341126,0.00006827558],"about_ca_topic_score_codex":0.003401974,"about_ca_topic_score_gemma":0.005489566,"teacher_disagreement_score":0.016427191,"about_ca_system_score_codex":0.0015197238,"about_ca_system_score_gemma":0.0017750621,"threshold_uncertainty_score":0.05495441},"labels":[],"label_agreement":null},{"id":"W2170473364","doi":"10.1111/j.1467-9353.2008.00443.x","title":"Determinants of Premiums Received by Organic Field Crop Producers","year":2008,"lang":"en","type":"article","venue":"Review of Agricultural Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Organic farming; Agricultural economics; Agricultural science; Crop; Sample (material); Economics; Business; Agronomy; Environmental science; Agriculture; Geography; Biology","score_opus":0.021406607312337525,"score_gpt":0.2140754935047858,"score_spread":0.19266888619244826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170473364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867463,0.00008646714,0.00011697754,0.0001211863,0.0000015397758,0.0000037785846,0.00014916094,0.0000033953356,0.0008429503],"genre_scores_gemma":[0.99903464,0.000083048675,0.000050228762,0.00001168234,0.0000069104503,0.0000014515127,0.00020845309,8.232862e-7,0.00060269976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971145,0.00005429388,0.000016494394,0.000045767934,0.00008391536,0.00008812262],"domain_scores_gemma":[0.99399614,0.0016772466,0.0030526603,0.00012647013,0.00033742547,0.00081005786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067286275,0.00007975754,0.00008988011,0.00051778846,0.00015681525,0.0005368771,0.00014725236,0.00022605795,0.0024894918],"category_scores_gemma":[0.0033093086,0.000083175226,0.000095106334,0.0006287208,0.00016892265,0.0002983593,0.00022621686,0.00045338945,0.00026640142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007508411,0.00008997926,0.987822,0.000011424446,0.000018991645,0.00012147148,0.00019432962,0.00066428503,0.00087354064,0.0002879364,0.00055007887,0.009290911],"study_design_scores_gemma":[0.000004320551,0.00003425683,0.99831855,0.0000039241977,0.0000038445405,0.000037824375,0.00028975314,0.00057387544,0.000103062936,0.0001241514,0.0005037991,0.0000026197367],"about_ca_topic_score_codex":0.011823657,"about_ca_topic_score_gemma":0.018497903,"teacher_disagreement_score":0.011823657,"about_ca_system_score_codex":0.0006002926,"about_ca_system_score_gemma":0.00035865916,"threshold_uncertainty_score":0.023509681},"labels":[],"label_agreement":null},{"id":"W2173134037","doi":"","title":"A Model of Regulatory Burden in Technology Diffusion: The Case of Plant-Derived Vaccines","year":2009,"lang":"en","type":"article","venue":"Edinburgh Research Explorer","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Variety (cybernetics); Risk analysis (engineering); Developing country; Computer science; Business; Biochemical engineering; Environmental economics; Biotechnology; Management science; Economics; Engineering; Economic growth; Biology","score_opus":0.12545283686310754,"score_gpt":0.3105824080260752,"score_spread":0.18512957116296763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173134037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44922522,0.0028976095,0.35553545,0.020904642,0.0003780453,0.00065692514,0.0042552636,0.000537209,0.16560961],"genre_scores_gemma":[0.92277986,0.0018535003,0.017607167,0.0004521586,0.00010173623,0.0005038968,0.00054623664,0.00006488382,0.056090567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985453,0.00066871877,0.000056419467,0.00024369246,0.00015979714,0.00032610216],"domain_scores_gemma":[0.99322414,0.004560383,0.0008841477,0.00023114895,0.00053132704,0.00056887325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031001803,0.0012310047,0.0017886219,0.0016364572,0.0012963803,0.0040001376,0.0025856516,0.0068478044,0.015678125],"category_scores_gemma":[0.01069168,0.0009929697,0.002249985,0.0018615038,0.0027774903,0.0040279855,0.002027091,0.0028360984,0.0014659669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021006964,0.000109406006,0.0010595032,0.000066312234,0.000035141027,0.00025031727,0.00017179707,0.78816485,0.000772052,0.20499313,0.0012980303,0.0028694584],"study_design_scores_gemma":[0.00026834395,0.00011968305,0.0006742674,0.000036787405,0.000036168472,0.00009095675,0.00011615587,0.9216957,0.0001420854,0.07378758,0.0029750143,0.00005727365],"about_ca_topic_score_codex":0.03697143,"about_ca_topic_score_gemma":0.010990892,"teacher_disagreement_score":0.03697143,"about_ca_system_score_codex":0.0044291792,"about_ca_system_score_gemma":0.0030004692,"threshold_uncertainty_score":0.073512435},"labels":[],"label_agreement":null},{"id":"W2174187247","doi":"10.1142/s0217590816500077","title":"ANALYZING THE TFP PERFORMANCE OF CHINESE INDUSTRIAL ENTERPRISES","year":2016,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"City University of Hong Kong","keywords":"Total factor productivity; Business; Industrial organization; Economics; Productivity; Macroeconomics","score_opus":0.0489896478299708,"score_gpt":0.24957272268459385,"score_spread":0.20058307485462307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174187247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799395,0.00012282758,0.00013605191,0.000029147881,0.000001511687,0.0000034727757,0.0005948774,0.0000049761916,0.00111317],"genre_scores_gemma":[0.9981141,0.00013352814,0.000062089,0.000004247475,0.0000041971175,0.000004391785,0.0010049795,0.0000015818162,0.0006709791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997774,0.000025170411,0.000022053278,0.00004204643,0.0000592762,0.00007414113],"domain_scores_gemma":[0.99907315,0.00021024962,0.00021628784,0.00006716548,0.0003437115,0.00008941278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060116977,0.00018656967,0.00025496705,0.002055878,0.00016980876,0.00045223694,0.00019972018,0.00014732103,0.0010831207],"category_scores_gemma":[0.0019263806,0.000065019485,0.00032781644,0.003013452,0.00015592139,0.0002697712,0.0002951048,0.00011451832,0.0003068577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011394978,0.000026171436,0.96581316,0.0000526408,0.000083742445,0.00026121203,0.00056394504,0.007078027,0.0013735848,0.000701205,0.0008192063,0.023113267],"study_design_scores_gemma":[0.0000018055184,0.000023225417,0.9950694,0.0000035203147,0.00001615763,0.000027518965,0.00021636054,0.0036997406,0.0002934195,0.00006036292,0.00058489875,0.0000036184329],"about_ca_topic_score_codex":0.06354094,"about_ca_topic_score_gemma":0.03214467,"teacher_disagreement_score":0.06354094,"about_ca_system_score_codex":0.0008479265,"about_ca_system_score_gemma":0.00056822645,"threshold_uncertainty_score":0.12634218},"labels":[],"label_agreement":null},{"id":"W2176264031","doi":"10.18559/ebr.2005.2.522","title":"Entrepreneurship : how to design growth and exit strategy","year":2005,"lang":"en","type":"article","venue":"Economics and Business Review/˜The œPoznań University of Economics Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Entrepreneurship; Valuation (finance); Franchise; Business; Industrial organization; Sustainable growth rate; Marketing; Economics; Strategic management; Finance","score_opus":0.05884499333441487,"score_gpt":0.20178459502246843,"score_spread":0.14293960168805356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176264031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02802844,0.0023472426,0.8494926,0.023638649,0.00040102217,0.0008071705,0.00019323657,0.00086907425,0.094222635],"genre_scores_gemma":[0.2996758,0.003607601,0.6692898,0.0014788426,0.00015884424,0.0009194878,0.00043285082,0.00033536498,0.024101451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978734,0.0011984721,0.00017217548,0.00022050118,0.00037200868,0.00016352865],"domain_scores_gemma":[0.9959145,0.0020342541,0.00037033594,0.0003482174,0.00091943477,0.00041334968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004717588,0.0008373632,0.0008449366,0.0020713215,0.0009651479,0.005776113,0.001239179,0.0021496355,0.0074165515],"category_scores_gemma":[0.0139747,0.00043544604,0.0006074168,0.001025805,0.0025319746,0.0076644383,0.002066176,0.0017416617,0.0036138284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044662145,0.00016403773,0.007489564,0.00087048317,0.00007317879,0.00081035955,0.0040430995,0.013504801,0.0013994734,0.573747,0.02198749,0.37586582],"study_design_scores_gemma":[0.00006436154,0.00014924801,0.0030357419,0.0008569092,0.000060762133,0.0007586475,0.009457986,0.040093627,0.0021007387,0.7534825,0.18986143,0.00007808042],"about_ca_topic_score_codex":0.0016209825,"about_ca_topic_score_gemma":0.001777233,"teacher_disagreement_score":0.0074165515,"about_ca_system_score_codex":0.0011997204,"about_ca_system_score_gemma":0.0031225279,"threshold_uncertainty_score":0.024949312},"labels":[],"label_agreement":null},{"id":"W2182085141","doi":"10.1016/j.red.2019.02.003","title":"Aggregate productivity and the allocation of resources over the business cycle","year":2019,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Allocative efficiency; Economics; Productivity; Volatility (finance); Microeconomics; Productivity model; Partial productivity; Aggregate (composite); Business cycle; Decomposition; Productive efficiency; Econometrics; Industrial organization; Production (economics); Monetary economics; Total factor productivity; Macroeconomics","score_opus":0.009402886547097863,"score_gpt":0.21188158944099178,"score_spread":0.2024787028938939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182085141","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18587792,0.620188,0.092223026,0.028727325,0.0011378187,0.000039211045,0.0016742095,0.00026695657,0.06986559],"genre_scores_gemma":[0.71550983,0.27127254,0.003871897,0.0005572095,0.0017582999,0.000028522827,0.00037816295,0.000039874845,0.0065835994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933064,0.0002320904,0.000039026076,0.0001482773,0.0001593504,0.000090533744],"domain_scores_gemma":[0.99695265,0.0019447706,0.00044726947,0.00016672008,0.0003712548,0.00011735874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016441944,0.00052406086,0.0008562253,0.002161495,0.00028790263,0.0041656746,0.00058319676,0.0011659735,0.0018894972],"category_scores_gemma":[0.0065130075,0.00035224194,0.00044092664,0.006187865,0.0021183013,0.0039597643,0.0007702642,0.001544327,0.00049923395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016018312,0.00009337351,0.017034851,0.0007501909,0.00035618115,0.000119504344,0.00026535406,0.10781268,0.0017470705,0.6257984,0.009387928,0.23647425],"study_design_scores_gemma":[0.000023903016,0.000059592014,0.035101753,0.00036605966,0.00013667574,0.00013972302,0.00033156583,0.030597568,0.0006086164,0.8701437,0.062435076,0.000055893066],"about_ca_topic_score_codex":0.0051128655,"about_ca_topic_score_gemma":0.0038963677,"teacher_disagreement_score":0.0051128655,"about_ca_system_score_codex":0.0024466652,"about_ca_system_score_gemma":0.0016425585,"threshold_uncertainty_score":0.017751873},"labels":[],"label_agreement":null},{"id":"W2182865769","doi":"","title":"ICT, INNOVATION, WAGES AND LABOUR PRODUCTIVITY. NEW EVIDENCE FROM SMALL LOCAL FIRMS TIC, INNOVACIÓN, SALARIOS Y PRODUCTIVIDAD DEL TRABAJO. NUEVA EVIDENCIA PARA EMPRESAS PEQUEÑAS Y LOCALES","year":2013,"lang":"es","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Sample (material); Quarter (Canadian coin); Wage; Ordinary least squares; Economics; Welfare economics; Economic growth; Geography; Econometrics","score_opus":0.060553516287391,"score_gpt":0.24879895985837489,"score_spread":0.18824544357098388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182865769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830208,0.010727636,0.00038469234,0.0009963835,0.000021041069,0.0000057042025,0.00039025059,0.0000067463793,0.004446748],"genre_scores_gemma":[0.9970415,0.0018230842,0.00007428308,0.000037462716,0.000028952809,0.0000032951427,0.00019447427,0.0000016232747,0.00079531973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993724,0.00020395573,0.000039559516,0.00010406583,0.00018462699,0.000095315394],"domain_scores_gemma":[0.98756844,0.0065058568,0.0038261279,0.00037056932,0.0007663232,0.0009626983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012855638,0.0002153975,0.00036289386,0.00188992,0.000268305,0.0011543394,0.00036138296,0.00043113987,0.0040900563],"category_scores_gemma":[0.0070751053,0.00013813825,0.00049596286,0.0030886421,0.0010267802,0.0007389111,0.0009837699,0.0005443676,0.00048239977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012434769,0.000088677814,0.9674443,0.00027011812,0.00017211099,0.00018780255,0.0011593451,0.0006432744,0.00015044119,0.0008593285,0.0005780775,0.028322158],"study_design_scores_gemma":[0.000005719412,0.0000447774,0.9956638,0.00007370326,0.000068051544,0.000050566065,0.0019905448,0.00027390974,0.000054348377,0.00064457196,0.001124332,0.0000056611193],"about_ca_topic_score_codex":0.02548033,"about_ca_topic_score_gemma":0.03538964,"teacher_disagreement_score":0.02548033,"about_ca_system_score_codex":0.0008088906,"about_ca_system_score_gemma":0.00059639785,"threshold_uncertainty_score":0.050664008},"labels":[],"label_agreement":null},{"id":"W2183262804","doi":"10.19030/iber.v9i12.347","title":"Internationalization And Profitability Of The U.S. Multinational Companies After The Free Trade Agreement","year":2010,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Profitability index; Internationalization; Multinational corporation; Business; Liberalization; Free trade agreement; International trade; Degree (music); International economics; Industrial organization; Free trade; Economics; Market economy; Finance","score_opus":0.04873583845487271,"score_gpt":0.2945579833923027,"score_spread":0.24582214493743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183262804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973768,0.0003056595,0.000054010536,0.00022975534,0.0000067837836,0.0000028617383,0.0003047066,0.0000040363557,0.0017154457],"genre_scores_gemma":[0.9987079,0.0002197051,0.00002893716,0.000031878633,0.000012384033,0.0000020784682,0.00052996195,0.000001141031,0.0004661406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996908,0.00005005787,0.000025945967,0.000051323117,0.00008733595,0.00009448313],"domain_scores_gemma":[0.9954158,0.0006069787,0.0027940653,0.00010428564,0.00073103496,0.0003477753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008535007,0.00014897366,0.00019319438,0.0011519447,0.00040315033,0.0014331404,0.00015422096,0.00048187084,0.00081648363],"category_scores_gemma":[0.0035376863,0.00006755925,0.00018278495,0.0014135211,0.00046858014,0.00090804574,0.0004979942,0.0006713709,0.00027013305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011207357,0.00008889141,0.98389524,0.0000141088885,0.000035445802,0.00017492418,0.00043556542,0.0014239672,0.00045008832,0.00052450935,0.0010361449,0.011809038],"study_design_scores_gemma":[0.000002367891,0.000040247214,0.9974421,0.000010747519,0.000008705034,0.000046365232,0.00033684302,0.00046214546,0.00031690235,0.00013316669,0.0011951054,0.000005283708],"about_ca_topic_score_codex":0.021237558,"about_ca_topic_score_gemma":0.036439598,"teacher_disagreement_score":0.021237558,"about_ca_system_score_codex":0.001112787,"about_ca_system_score_gemma":0.0005379571,"threshold_uncertainty_score":0.042227864},"labels":[],"label_agreement":null},{"id":"W2186462187","doi":"","title":"Factors that Affect Potential Growth of Canadian Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Stock exchange; Affect (linguistics); Leverage (statistics); Market liquidity; Business; Cash flow; Sample (material); Monetary economics; Finance; Demographic economics; Economics","score_opus":0.05627598081609543,"score_gpt":0.1950534018430107,"score_spread":0.13877742102691526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186462187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883357,0.0005200184,0.00010010849,0.00058117294,0.0000066381654,0.000021298354,0.0009155777,0.000008440402,0.009511051],"genre_scores_gemma":[0.9984578,0.00023789008,0.00008737002,0.000019359195,0.000004129211,0.000004173922,0.00036494955,0.0000015966859,0.00082275673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993094,0.00005549288,0.000024270641,0.00006604829,0.0003245447,0.00022027269],"domain_scores_gemma":[0.9943479,0.0007963989,0.0013312893,0.00014424606,0.0022822847,0.0010979164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069911,0.00026004208,0.00018673626,0.0018598514,0.0022285192,0.0020719336,0.00045395314,0.0003842265,0.0020940397],"category_scores_gemma":[0.006265349,0.000085746964,0.00024202828,0.0029799913,0.000714841,0.00070854934,0.0008284612,0.0005891165,0.00016281728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001219505,0.000056436547,0.9768946,0.000026004385,0.000017485045,0.0001717344,0.001751421,0.00079732714,0.0005865734,0.0015192445,0.0012786685,0.016778579],"study_design_scores_gemma":[0.000002350161,0.000019942336,0.9948137,0.0000124916805,0.00000746708,0.000041453823,0.0022191217,0.0005721326,0.00014664372,0.00020570126,0.0019469982,0.000012133429],"about_ca_topic_score_codex":0.93814737,"about_ca_topic_score_gemma":0.95873934,"teacher_disagreement_score":0.061852634,"about_ca_system_score_codex":0.016741885,"about_ca_system_score_gemma":0.017755125,"threshold_uncertainty_score":0.124433756},"labels":[],"label_agreement":null},{"id":"W2189388668","doi":"","title":"What influences the survival of Canadian biotechnology firms","year":2011,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business; Product (mathematics); Position (finance); Production (economics); New product development; Intellectual property; Process (computing); Industrial organization; Biotechnology; Marketing; Economics; Finance; Biology; Political science; Microeconomics","score_opus":0.024049078646332073,"score_gpt":0.20792586708014857,"score_spread":0.1838767884338165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189388668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9498781,0.0021128678,0.00039956204,0.009430007,0.000052636442,0.000044757,0.002017277,0.000035892812,0.036028914],"genre_scores_gemma":[0.9953687,0.000551118,0.000084609426,0.00020573438,0.000013811885,0.0000033861236,0.0004683406,0.0000053438703,0.0032990144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806255,0.00012130275,0.000049945418,0.0001332127,0.00051941164,0.0011134743],"domain_scores_gemma":[0.98820716,0.001123114,0.002119279,0.00019959702,0.0043106484,0.0040401253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012780147,0.00021531126,0.0003677352,0.002091988,0.00559168,0.003979884,0.0010132664,0.00088261225,0.0069238883],"category_scores_gemma":[0.010805423,0.00014841743,0.00034063047,0.0035998928,0.0017688688,0.0010142076,0.0012486314,0.0012122864,0.00039528645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034319115,0.00010103475,0.9038854,0.000112830814,0.00011149619,0.00088059343,0.0043501384,0.004195195,0.00079488254,0.014701569,0.018913975,0.051609654],"study_design_scores_gemma":[0.000028426715,0.000051607927,0.9600691,0.00010008876,0.00006116273,0.00018853719,0.009837806,0.00262552,0.00038938416,0.0016444207,0.024940023,0.00006378261],"about_ca_topic_score_codex":0.9895118,"about_ca_topic_score_gemma":0.9930813,"teacher_disagreement_score":0.05509455,"about_ca_system_score_codex":0.05509455,"about_ca_system_score_gemma":0.057682257,"threshold_uncertainty_score":0.39974087},"labels":[],"label_agreement":null},{"id":"W2201195996","doi":"","title":"Can the Canada-U.S. ICT Gap be a Measurement Issue?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Information and Communications Technology; Business; Economics; Political science","score_opus":0.10125414010854268,"score_gpt":0.27992837718692337,"score_spread":0.1786742370783807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201195996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5590843,0.03342758,0.011535391,0.17225413,0.0018621456,0.000287592,0.04751931,0.0004605333,0.17356904],"genre_scores_gemma":[0.9737509,0.004453821,0.0028914898,0.0056306086,0.00015159283,0.00012290043,0.007287859,0.0000786256,0.005632198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99181235,0.00063438545,0.00033651432,0.0007944484,0.004522674,0.0018996921],"domain_scores_gemma":[0.9785075,0.0047629103,0.004377011,0.0007509795,0.00997545,0.0016261011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006141665,0.00035858274,0.00089513237,0.005830072,0.003767337,0.0043406403,0.0017466448,0.00093537464,0.0044718324],"category_scores_gemma":[0.03171536,0.00021837195,0.0006254191,0.020079961,0.0018792517,0.0027502154,0.0025722242,0.0015873022,0.0005194937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002294752,0.00011723252,0.57115185,0.0009545655,0.00027704038,0.00042243092,0.008043669,0.0016730299,0.00033258134,0.13050465,0.12683423,0.15945925],"study_design_scores_gemma":[0.000032627675,0.000061930026,0.86913764,0.00090821873,0.00013230715,0.00019276424,0.009710583,0.0028465802,0.0011776529,0.0116618,0.10404925,0.00008873554],"about_ca_topic_score_codex":0.9770792,"about_ca_topic_score_gemma":0.97925115,"teacher_disagreement_score":0.036617015,"about_ca_system_score_codex":0.036617015,"about_ca_system_score_gemma":0.0573512,"threshold_uncertainty_score":0.26567626},"labels":[],"label_agreement":null},{"id":"W2202722977","doi":"10.1080/10438599.2015.1073478","title":"Technological and non-technological innovation and productivity in services vis-à-vis manufacturing sectors","year":2015,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Inter-American Development Bank","keywords":"Productivity; Technological change; Industrial organization; Business; Investment (military); Manufacturing sector; Economics; Economic growth; Labour economics","score_opus":0.03621441053893151,"score_gpt":0.2307122655319161,"score_spread":0.19449785499298458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202722977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968821,0.00038067708,0.00032938775,0.00012695034,0.0000041451153,0.000004553083,0.00032596596,0.0000095597625,0.001936647],"genre_scores_gemma":[0.9990637,0.0001185258,0.00008079821,0.000007144667,0.0000062669774,0.0000027675246,0.00028465016,0.000002249752,0.00043396177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991241,0.00024006603,0.00006138494,0.00011135918,0.00017907916,0.00028398514],"domain_scores_gemma":[0.9903047,0.0038423424,0.0034668504,0.000377981,0.0008067247,0.0012012348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011454643,0.00029321204,0.00041184496,0.0021678014,0.0003155506,0.0013713463,0.00024610048,0.0003888002,0.0039529507],"category_scores_gemma":[0.009066825,0.000119650824,0.00058156153,0.0034613388,0.00060228206,0.00093461433,0.0012104708,0.0006307948,0.00069635606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000555751,0.000043610584,0.99197584,0.000029758958,0.00006647024,0.0001169705,0.000361323,0.00092000293,0.0003997864,0.00059912854,0.00010803682,0.0053233253],"study_design_scores_gemma":[0.0000028061288,0.000039939525,0.9972459,0.000013401866,0.00002098742,0.00006763558,0.00046694456,0.0010274667,0.00022769498,0.00036164722,0.00052161474,0.000003986701],"about_ca_topic_score_codex":0.025681028,"about_ca_topic_score_gemma":0.021482797,"teacher_disagreement_score":0.025681028,"about_ca_system_score_codex":0.0012565043,"about_ca_system_score_gemma":0.00074048305,"threshold_uncertainty_score":0.05106306},"labels":[],"label_agreement":null},{"id":"W2206832202","doi":"","title":"Évaluation de la prime de taille d'entreprise en contexte canadien","year":2009,"lang":"fr","type":"article","venue":"Publications Études & Analyses","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.0647548513441939,"score_gpt":0.32166926607609375,"score_spread":0.25691441473189985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206832202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87231886,0.01065211,0.03934143,0.0036712505,0.0004556672,0.00030078096,0.0050039478,0.0016272373,0.06662865],"genre_scores_gemma":[0.9728026,0.00130564,0.010809972,0.0001326884,0.00020548908,0.00012813015,0.0014966688,0.00010948259,0.013009263],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98973733,0.004599011,0.0004053126,0.0013027877,0.0032838292,0.0006718099],"domain_scores_gemma":[0.9570333,0.032385107,0.001968832,0.0017305526,0.006038592,0.0008436095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011581581,0.0013512464,0.0016241821,0.005316417,0.0011121978,0.009011247,0.0011355133,0.0019898526,0.015722353],"category_scores_gemma":[0.037459336,0.00039116712,0.00227426,0.003453059,0.0013546519,0.0034850072,0.0014133744,0.001911622,0.0029329807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004954804,0.001230085,0.37618455,0.0020798787,0.0019414896,0.0010118795,0.0029433826,0.08327958,0.008160429,0.054182366,0.0127003975,0.4513312],"study_design_scores_gemma":[0.0004985808,0.003087902,0.6262369,0.0011300005,0.0016138719,0.0015149224,0.006212052,0.23147486,0.019170249,0.028327186,0.08038902,0.0003444694],"about_ca_topic_score_codex":0.026457563,"about_ca_topic_score_gemma":0.016717624,"teacher_disagreement_score":0.97354245,"about_ca_system_score_codex":0.0045515182,"about_ca_system_score_gemma":0.003500011,"threshold_uncertainty_score":0.06125003},"labels":[],"label_agreement":null},{"id":"W2207313997","doi":"","title":"An Analysis of the Canada-U.S. ICT Investment Gap: An Update to 2013","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Recession; Information and Communications Technology; Business sector; Business; Productivity; Economics; Economy; Economic growth; Political science; Macroeconomics","score_opus":0.06340222066225877,"score_gpt":0.30434731281755906,"score_spread":0.2409450921553003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207313997","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31840035,0.06378789,0.0016258707,0.05704737,0.0017322041,0.00020490489,0.37335292,0.000823267,0.18302527],"genre_scores_gemma":[0.7560019,0.042414524,0.0029285303,0.005649115,0.0004182433,0.00011394055,0.1434811,0.00031400347,0.048678763],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9972614,0.000042834683,0.00009516205,0.00013435211,0.0017692277,0.00069710176],"domain_scores_gemma":[0.98798394,0.0003958434,0.0007344501,0.00012349291,0.009772294,0.0009900007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389765,0.00042343122,0.00046509466,0.008347848,0.0023571365,0.0045378217,0.0011151162,0.00071200385,0.003851494],"category_scores_gemma":[0.0069827656,0.00028920142,0.00061971194,0.027320204,0.0005600349,0.0014088436,0.0015115178,0.0011824893,0.0007519442],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017680015,0.000092505856,0.26450777,0.0012553511,0.00012426864,0.0005018477,0.0025237435,0.0016151543,0.00034647892,0.015298622,0.54230016,0.17125726],"study_design_scores_gemma":[0.00001120628,0.000020678483,0.63962305,0.0006536796,0.00007526702,0.00011337862,0.0029520001,0.0011911619,0.000622207,0.00039215075,0.35429406,0.000051237315],"about_ca_topic_score_codex":0.9933141,"about_ca_topic_score_gemma":0.9953129,"teacher_disagreement_score":0.065747626,"about_ca_system_score_codex":0.065747626,"about_ca_system_score_gemma":0.14413051,"threshold_uncertainty_score":0.47703463},"labels":[],"label_agreement":null},{"id":"W2211221626","doi":"10.2139/ssrn.1098173","title":"The Kauffman Firm Survey: Results from the Baseline and First Follow-Up Surveys","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Foundation (evidence); Baseline (sea); Panel survey; Business; Economics; Political science; Demographic economics; Law","score_opus":0.034465887316479905,"score_gpt":0.21195178811653664,"score_spread":0.17748590080005675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211221626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9169542,0.00052444224,0.0005236322,0.0008493045,0.000047191566,0.00041529885,0.076596424,0.00012292642,0.003966596],"genre_scores_gemma":[0.86329055,0.0008427781,0.0006749939,0.000485521,0.00009855155,0.0007131022,0.122798614,0.000056350615,0.01103951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969599,0.0005570334,0.00034359915,0.0004332281,0.0010534076,0.0006527633],"domain_scores_gemma":[0.9764287,0.004633526,0.006864224,0.0023240736,0.0069656936,0.0027838708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043367613,0.00061409955,0.0006764544,0.0062389886,0.00061198097,0.0010469541,0.00111975,0.0017029202,0.0044869147],"category_scores_gemma":[0.01629899,0.00038977567,0.0009830105,0.0041555804,0.0004285247,0.0016709031,0.0018311981,0.0012093224,0.003587057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039724674,0.00053555326,0.9735328,0.000069849404,0.00010156247,0.00009058006,0.000601722,0.00030825118,0.0002671042,0.000096835276,0.012361678,0.011636802],"study_design_scores_gemma":[0.00001624243,0.0001256825,0.9968064,0.0000087323515,0.00003536758,0.00005417903,0.00033754145,0.00008980839,0.00013672521,0.00002216421,0.0023548163,0.000012269926],"about_ca_topic_score_codex":0.08797182,"about_ca_topic_score_gemma":0.06748092,"teacher_disagreement_score":0.08797182,"about_ca_system_score_codex":0.0018771851,"about_ca_system_score_gemma":0.002152702,"threshold_uncertainty_score":0.17491949},"labels":[],"label_agreement":null},{"id":"W2222855488","doi":"","title":"Pertinence des rapports de developpement durable des entreprises Canadiennes incluses dans l'indice compose S&P/TSX","year":2010,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.02531164296015552,"score_gpt":0.21910596637129415,"score_spread":0.1937943234111386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222855488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391037,0.0037370552,0.006689256,0.0010846857,0.00017895206,0.00002846589,0.0020315922,0.00044706644,0.046699103],"genre_scores_gemma":[0.9704231,0.0017722573,0.0038232761,0.0000689738,0.00033429277,0.000042398922,0.0014643079,0.000102396356,0.021968927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958691,0.001031696,0.00024100959,0.0008259465,0.001691098,0.00034110964],"domain_scores_gemma":[0.9570275,0.032550186,0.003718001,0.0015153466,0.0039656693,0.0012233821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033263857,0.0012226152,0.0008821019,0.0095764985,0.0017282071,0.010772031,0.0008693111,0.0034895323,0.017234795],"category_scores_gemma":[0.024730979,0.00046067088,0.0013720955,0.005371845,0.0019622142,0.0041124164,0.0012811798,0.0024378747,0.0031101967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036706878,0.0008686719,0.48934224,0.0015477291,0.0020511628,0.0046763965,0.013220193,0.037517272,0.046163104,0.084241726,0.007667714,0.30903316],"study_design_scores_gemma":[0.0001528599,0.0005343655,0.8534884,0.00034465318,0.0005117812,0.0022372848,0.0046997373,0.028334199,0.03748822,0.00812993,0.063867286,0.00021119564],"about_ca_topic_score_codex":0.039112624,"about_ca_topic_score_gemma":0.020976849,"teacher_disagreement_score":0.9608874,"about_ca_system_score_codex":0.0043650814,"about_ca_system_score_gemma":0.0014322305,"threshold_uncertainty_score":0.077769935},"labels":[],"label_agreement":null},{"id":"W2223150392","doi":"","title":"Croissance de la productivite dans le secteur de la radiotelevision et des telecommunications: analyse fondee sur les microdonnees","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04145498797043633,"score_gpt":0.31136058664285476,"score_spread":0.2699055986724184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223150392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97847855,0.0018394754,0.0067762835,0.000114156384,0.000009961023,0.000037897506,0.00077266607,0.000035667545,0.011935442],"genre_scores_gemma":[0.9770198,0.0013559704,0.004270834,0.00003462466,0.000012330436,0.00005196003,0.00047455853,0.000036145142,0.016743738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990132,0.00015994065,0.00003100819,0.00024595705,0.00041944656,0.00013052145],"domain_scores_gemma":[0.9957268,0.002154653,0.0008928518,0.0002472802,0.0007999046,0.00017851705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013128871,0.00037219,0.00053611695,0.0025827608,0.0007437093,0.002622446,0.0005858101,0.00066009164,0.007647046],"category_scores_gemma":[0.00274298,0.00028644525,0.0007125811,0.003864562,0.001112813,0.0009287419,0.0007235893,0.0005266972,0.0011212833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001141201,0.00015141521,0.69368255,0.0005210781,0.00035491024,0.0017415026,0.011484994,0.016716002,0.072921336,0.013757009,0.00059532834,0.18693274],"study_design_scores_gemma":[0.0000150694605,0.00043909939,0.9386189,0.00009686649,0.00011328135,0.0007714666,0.0058536455,0.0052537955,0.01999069,0.0027584815,0.02601419,0.00007439715],"about_ca_topic_score_codex":0.038338505,"about_ca_topic_score_gemma":0.045031577,"teacher_disagreement_score":0.038338505,"about_ca_system_score_codex":0.0031257235,"about_ca_system_score_gemma":0.0011046329,"threshold_uncertainty_score":0.076230705},"labels":[],"label_agreement":null},{"id":"W2227332828","doi":"","title":"La distribution des taux de croissance de l'emploi au Canada : le rôle des entreprises à forte croissance et à réduction rapide des effectifs","year":2014,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.01799808440669286,"score_gpt":0.2240903514341946,"score_spread":0.20609226702750172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227332828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91085386,0.012739654,0.008061974,0.00299159,0.00008783225,0.000120947654,0.046366822,0.00015280281,0.018624494],"genre_scores_gemma":[0.96951103,0.004635717,0.0027294708,0.00056471623,0.000048330436,0.000107095766,0.011639641,0.00005273266,0.010711303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821544,0.00021360202,0.00011307097,0.00036614737,0.00070230436,0.00038952217],"domain_scores_gemma":[0.9856821,0.004030812,0.002719294,0.0008790332,0.005773041,0.0009158334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028529505,0.00039779782,0.000692645,0.0026575804,0.001254438,0.0021615091,0.00111143,0.0006791691,0.0051168255],"category_scores_gemma":[0.011840745,0.00027840232,0.00089292694,0.0067766444,0.00080050225,0.0008606907,0.0008689827,0.0010996338,0.0005938103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014202084,0.000027197437,0.9558265,0.00032206235,0.00038276432,0.00011898583,0.002251964,0.0008900547,0.00032500294,0.001489053,0.004387372,0.033836983],"study_design_scores_gemma":[0.000004569681,0.000018073128,0.984706,0.00015453203,0.0001330458,0.000056851542,0.0014156172,0.00071486307,0.00034997775,0.0002192626,0.012203883,0.00002331592],"about_ca_topic_score_codex":0.9654198,"about_ca_topic_score_gemma":0.9711486,"teacher_disagreement_score":0.03458017,"about_ca_system_score_codex":0.010144053,"about_ca_system_score_gemma":0.024234582,"threshold_uncertainty_score":0.07360059},"labels":[],"label_agreement":null},{"id":"W2228054752","doi":"10.7202/1035412ar","title":"Persistance dans le temps des déterminants de la croissance des PME","year":2016,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.023166389600078708,"score_gpt":0.25111126930161237,"score_spread":0.22794487970153365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228054752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8289802,0.078963965,0.010853386,0.014696202,0.0009613526,0.00014205561,0.0038942543,0.00013369271,0.06137502],"genre_scores_gemma":[0.95751303,0.024493266,0.00237686,0.00087942433,0.00036079477,0.00010854388,0.0014318273,0.00007225391,0.01276402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798965,0.0005778308,0.00011493845,0.00050644786,0.00040037502,0.00041083703],"domain_scores_gemma":[0.9859008,0.0075926716,0.0032967587,0.00078483904,0.0014949034,0.000930094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036040447,0.00040346518,0.0005659668,0.0013404053,0.0008117282,0.0036639501,0.00076858513,0.0011134779,0.013954792],"category_scores_gemma":[0.0111963665,0.0003598438,0.0011379637,0.0023643498,0.0012418843,0.0024003133,0.0018041881,0.002071919,0.0017952969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555013,0.00020323771,0.8146129,0.0017692767,0.0006130254,0.0008796711,0.008013286,0.0010005228,0.0013849757,0.02271908,0.0065513463,0.14199707],"study_design_scores_gemma":[0.000007694936,0.00014918241,0.9260546,0.0010792828,0.00021503768,0.00062757847,0.005516771,0.0005748158,0.0009116628,0.005046499,0.05976673,0.000050209936],"about_ca_topic_score_codex":0.01619402,"about_ca_topic_score_gemma":0.016465163,"teacher_disagreement_score":0.01619402,"about_ca_system_score_codex":0.0011658598,"about_ca_system_score_gemma":0.002907925,"threshold_uncertainty_score":0.04668343},"labels":[],"label_agreement":null},{"id":"W2228581065","doi":"10.1108/s1479-067x(2004)0000009006","title":"Firm Demographics in Silicon Valley North","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Demographics; Silicon valley; Silicon; Geography; Materials science; Business; Demography; Optoelectronics; Sociology; Finance","score_opus":0.036132032411483654,"score_gpt":0.20044069385579796,"score_spread":0.1643086614443143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228581065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98623836,0.00043646037,0.000057940804,0.00040822357,0.0000068684694,0.000025059613,0.0062284903,0.0000054766165,0.0065932563],"genre_scores_gemma":[0.98616624,0.0006297817,0.00014903776,0.00017992136,0.0000062915797,0.000036187175,0.0070386427,0.000004603492,0.0057892054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936825,0.000039109997,0.00004052251,0.00014038029,0.00019061318,0.00022116386],"domain_scores_gemma":[0.99785596,0.00031314255,0.00053594064,0.00004748848,0.0005855955,0.00066192076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004602162,0.0001249908,0.00017277276,0.0028360605,0.0013752609,0.0014537782,0.0005000994,0.00028720626,0.005053991],"category_scores_gemma":[0.0012249454,0.00024252124,0.00011747991,0.005171542,0.00048823789,0.00048217614,0.00077734416,0.00032045558,0.0005009947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059437538,0.000041179625,0.97561884,0.00006171886,0.000015223637,0.00019951041,0.005027294,0.00021525465,0.00049753534,0.0015310136,0.005716775,0.011016188],"study_design_scores_gemma":[0.0000071179334,0.00002851475,0.9830534,0.000045112218,0.0000042952047,0.000105763436,0.007811239,0.00021796077,0.000121071775,0.000109056964,0.008485852,0.000010513697],"about_ca_topic_score_codex":0.747055,"about_ca_topic_score_gemma":0.90075105,"teacher_disagreement_score":0.747055,"about_ca_system_score_codex":0.0061918516,"about_ca_system_score_gemma":0.007195004,"threshold_uncertainty_score":0.5088693},"labels":[],"label_agreement":null},{"id":"W2230595023","doi":"","title":"La repartition du produit interieur brut et du nombre d'heures travaillees entre les categories de taille d'entreprise au Canada et aux Etats-Unis","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.022262714599799484,"score_gpt":0.2642936139227205,"score_spread":0.24203089932292102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230595023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94050896,0.003920112,0.0039981683,0.0007115607,0.000046192097,0.00007474921,0.019183932,0.00017378933,0.031382516],"genre_scores_gemma":[0.93816006,0.0027692444,0.003240761,0.00010188292,0.00004449178,0.00005826139,0.010514988,0.00008530255,0.045024976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761826,0.00016351505,0.00008423473,0.000335534,0.0013020782,0.0004964007],"domain_scores_gemma":[0.9830645,0.0046878043,0.0033209175,0.0007605495,0.0066519235,0.0015142292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002193813,0.0005317255,0.0004973801,0.008214066,0.0013755726,0.0034445503,0.0007436617,0.00058129686,0.0066156373],"category_scores_gemma":[0.007503667,0.00029908976,0.0009438966,0.012681435,0.00084604596,0.0011823778,0.0011384045,0.0010888013,0.0012491131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019028429,0.000047466798,0.90137446,0.0003137913,0.0002694761,0.0002295153,0.0062733907,0.0016744109,0.0020105953,0.0042554447,0.0041428516,0.07921836],"study_design_scores_gemma":[0.0000026755959,0.000034329176,0.9736751,0.00009127545,0.00006359304,0.00007102705,0.0028964859,0.0009293985,0.0009871908,0.00033282358,0.020893235,0.00002292885],"about_ca_topic_score_codex":0.7796533,"about_ca_topic_score_gemma":0.8846504,"teacher_disagreement_score":0.99329776,"about_ca_system_score_codex":0.006702247,"about_ca_system_score_gemma":0.009998144,"threshold_uncertainty_score":0.44328868},"labels":[],"label_agreement":null},{"id":"W2232223471","doi":"","title":"Objectives and Origins of Small Business Financial Statements","year":2002,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Interim; Accounting; Finance; Political science","score_opus":0.04907507079137483,"score_gpt":0.2394677076572864,"score_spread":0.19039263686591157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232223471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79020387,0.0027512582,0.022364873,0.0082988115,0.00024070693,0.00048914494,0.002723708,0.00012343825,0.17280424],"genre_scores_gemma":[0.9862954,0.00076643756,0.006228755,0.00025265536,0.00009139765,0.00011341929,0.0006828334,0.000031530322,0.0055376724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99492586,0.002082695,0.00044042556,0.0003400704,0.0015666917,0.0006443513],"domain_scores_gemma":[0.9424462,0.021263085,0.019459045,0.0011377032,0.0115439845,0.004149975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008668066,0.00029489837,0.0002194567,0.005053679,0.0013370017,0.0043643625,0.00041631013,0.0005376037,0.0027455848],"category_scores_gemma":[0.035143122,0.00022769222,0.00012161608,0.0045906245,0.0020952767,0.002741196,0.0014249004,0.0010874133,0.00043182308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043698752,0.00017634286,0.31258336,0.00041267776,0.000017176388,0.0006477008,0.023178285,0.0018685645,0.0016437047,0.41009066,0.010122866,0.23882173],"study_design_scores_gemma":[0.00004037521,0.00029621494,0.6187724,0.0013545676,0.000029922157,0.00074156537,0.042967245,0.004499162,0.0034001332,0.14493726,0.18279707,0.00016408166],"about_ca_topic_score_codex":0.004893261,"about_ca_topic_score_gemma":0.005043715,"teacher_disagreement_score":0.008668066,"about_ca_system_score_codex":0.0025941718,"about_ca_system_score_gemma":0.0034911947,"threshold_uncertainty_score":0.045841634},"labels":[],"label_agreement":null},{"id":"W2233866986","doi":"","title":"Bayesian Inference of Multiscale Stochastic Conditional Duration Models","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Duration (music); Econometrics; Inference; Bayesian inference; Bayesian probability; Computer science; Stochastic modelling; Stochastic volatility; Statistics; Mathematics; Volatility (finance); Artificial intelligence","score_opus":0.01688119164821322,"score_gpt":0.21987098176720482,"score_spread":0.2029897901189916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233866986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14990136,0.00043964598,0.84700006,0.00047503464,0.000033147615,0.00002664253,0.00044440015,0.00023949733,0.0014402535],"genre_scores_gemma":[0.9294894,0.00037017986,0.067780696,0.000111423564,0.000090783025,0.00007044674,0.00072535506,0.000055061064,0.0013066594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873775,0.0005309653,0.000062785075,0.00039006732,0.00017090468,0.00010767192],"domain_scores_gemma":[0.9869241,0.010372721,0.0011768751,0.0008253733,0.00042798612,0.00027296843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046138423,0.00043150314,0.0010496401,0.0012648044,0.00038847214,0.0012078166,0.001674377,0.0010631132,0.0019971859],"category_scores_gemma":[0.026880082,0.000676164,0.0008814562,0.00113126,0.0010562546,0.0023094083,0.0014003256,0.0016918281,0.00020895062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015085691,0.00006236744,0.01527481,0.00011149936,0.00018009463,0.00015606714,0.00031657354,0.6531386,0.001224808,0.2764041,0.0015405801,0.051439714],"study_design_scores_gemma":[0.000009812368,0.000010301001,0.0022068063,0.000010822756,0.000011776425,0.000023456965,0.00001713401,0.938721,0.00012781806,0.058455355,0.00039178084,0.000013888518],"about_ca_topic_score_codex":0.010241475,"about_ca_topic_score_gemma":0.009354387,"teacher_disagreement_score":0.010241475,"about_ca_system_score_codex":0.0011474688,"about_ca_system_score_gemma":0.0007891223,"threshold_uncertainty_score":0.024400651},"labels":[],"label_agreement":null},{"id":"W2236462881","doi":"","title":"Analyse empirique des tendances sur le plan de la diversification des societes au Canada","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Diversification (marketing strategy); Humanities; Geography; Business; Philosophy","score_opus":0.06524200971425827,"score_gpt":0.28158742302161743,"score_spread":0.21634541330735918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236462881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684219,0.0011072154,0.010655305,0.00073826226,0.000013089736,0.00005396765,0.00457897,0.00014887693,0.014282539],"genre_scores_gemma":[0.9828849,0.0009247447,0.005175481,0.000058720845,0.000006215749,0.000033422664,0.0022965337,0.000044150707,0.008575792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989034,0.00021745305,0.00004633014,0.0002126588,0.0004477606,0.00017247356],"domain_scores_gemma":[0.9941684,0.0030781806,0.00046298243,0.00026512213,0.0017789217,0.00024640537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021016393,0.0005445653,0.0007277077,0.002988154,0.0011569605,0.002706435,0.0009378559,0.00048316416,0.005926143],"category_scores_gemma":[0.010075484,0.0004696142,0.00086993957,0.0056517054,0.0008812433,0.0008130353,0.00080286316,0.0009161531,0.0005789519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017769983,0.00004777201,0.6396518,0.000221729,0.00057364453,0.00029387884,0.0022783503,0.27255625,0.0011819588,0.015979657,0.0032568858,0.06378042],"study_design_scores_gemma":[0.000023996956,0.000054364336,0.6847686,0.00022479754,0.0001779576,0.0000813178,0.0033897627,0.28870863,0.0010021974,0.0043158024,0.017180702,0.00007188408],"about_ca_topic_score_codex":0.9693756,"about_ca_topic_score_gemma":0.96391445,"teacher_disagreement_score":0.03062439,"about_ca_system_score_codex":0.01627317,"about_ca_system_score_gemma":0.015375105,"threshold_uncertainty_score":0.11807066},"labels":[],"label_agreement":null},{"id":"W2236846763","doi":"","title":"Differences de productivite entre les provinces","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.0587744324342013,"score_gpt":0.28656037664480843,"score_spread":0.22778594421060713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236846763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704178,0.0017235054,0.00288976,0.00016042538,0.000018908886,0.000046390323,0.0067805145,0.00009580752,0.01786684],"genre_scores_gemma":[0.98584694,0.00076847046,0.002069735,0.00003978075,0.0000052359696,0.000037886904,0.0028381625,0.000026830248,0.008366943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988166,0.00018749038,0.000048761965,0.0002841919,0.00031754852,0.00034539032],"domain_scores_gemma":[0.9980459,0.0005124325,0.00029341693,0.00019171936,0.0007989038,0.00015760632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010418781,0.00039929055,0.0004694289,0.0016177185,0.0006048042,0.0013311577,0.00048880343,0.00023701029,0.004439692],"category_scores_gemma":[0.0027401587,0.0002703577,0.00078634446,0.0038456167,0.0005525479,0.00033384736,0.00050641334,0.0003729021,0.00066747924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007073919,0.000043087606,0.9330769,0.00023936316,0.00048792842,0.00013808903,0.0019059995,0.0021818024,0.0044982536,0.0023540813,0.000765105,0.053602003],"study_design_scores_gemma":[0.0000065490112,0.000034114706,0.9939937,0.0000217457,0.00005326348,0.00003371269,0.0007851349,0.00044994647,0.00047623133,0.00017957285,0.003957583,0.000008471042],"about_ca_topic_score_codex":0.672297,"about_ca_topic_score_gemma":0.74023736,"teacher_disagreement_score":0.327703,"about_ca_system_score_codex":0.0038153927,"about_ca_system_score_gemma":0.00532716,"threshold_uncertainty_score":0.65926576},"labels":[],"label_agreement":null},{"id":"W2237791933","doi":"","title":"Les petites, moyennes et grandes entreprises dans l'economie canadienne: mesure de leur contribution au produit interieur brut de 2001 a 2008","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Art","score_opus":0.04286061453877905,"score_gpt":0.290142065063444,"score_spread":0.24728145052466494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237791933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410752,0.016188286,0.0016194407,0.0038861837,0.00006841232,0.000044095435,0.0045587122,0.000057839832,0.03250178],"genre_scores_gemma":[0.95985657,0.011108009,0.0014646563,0.00020288693,0.000046587247,0.000014485294,0.0016640496,0.000022044234,0.025620697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905545,0.000039030063,0.000022330873,0.00012309702,0.0005225274,0.00023753245],"domain_scores_gemma":[0.99621284,0.0005928549,0.00075959746,0.0001067062,0.001724057,0.00060404825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008385066,0.0004056111,0.00035511822,0.0042364225,0.0018622031,0.0039174296,0.00045836094,0.00051280484,0.0032917494],"category_scores_gemma":[0.002868375,0.00026388414,0.00048117954,0.008256782,0.0011872771,0.0008764543,0.0010597571,0.0010866092,0.00037785884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034021173,0.000073747746,0.7653109,0.00061667606,0.00031437582,0.0008928709,0.016941536,0.004135574,0.0051675723,0.021111002,0.007007345,0.17808813],"study_design_scores_gemma":[0.000005131138,0.000034184155,0.92126286,0.00020551239,0.000113117705,0.00013739399,0.0057096714,0.0010055949,0.0019611188,0.0012783874,0.06824996,0.00003698424],"about_ca_topic_score_codex":0.9365223,"about_ca_topic_score_gemma":0.9731802,"teacher_disagreement_score":0.9779022,"about_ca_system_score_codex":0.02209784,"about_ca_system_score_gemma":0.022903683,"threshold_uncertainty_score":0.16033179},"labels":[],"label_agreement":null},{"id":"W2239012784","doi":"","title":"Corporate Financial Leverage in Canadian Manufacturing: Consequences for Employment and Inventories","year":2004,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Leverage (statistics); Recession; Business; Monetary economics; Demand shock; Financial system; Labour economics; Finance; Economics; Macroeconomics","score_opus":0.245506528534862,"score_gpt":0.3531962545493479,"score_spread":0.1076897260144859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239012784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99495894,0.0009294386,0.000049643553,0.0005082287,0.0000042274028,0.000006556071,0.0008748797,0.0000044857825,0.0026635937],"genre_scores_gemma":[0.99841154,0.00052093633,0.000035471418,0.000028894852,0.0000046661685,0.000001964739,0.00036886483,0.0000010928737,0.00062659907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955386,0.000017809447,0.0000131667875,0.000039470557,0.00019020183,0.00018538996],"domain_scores_gemma":[0.9982576,0.00017879558,0.0005383174,0.000044722645,0.0006416902,0.00033885654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005186148,0.00028333042,0.00024168058,0.0023471275,0.0018945092,0.0013817699,0.0006481737,0.00038039588,0.0017693082],"category_scores_gemma":[0.0036656135,0.00017076822,0.0003230636,0.0039366595,0.0007807602,0.0004641283,0.0009216342,0.00048096885,0.00011854649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008422621,0.000027375268,0.97776836,0.000019983016,0.000032241893,0.00021875114,0.001132664,0.0010300359,0.00022805623,0.00074344216,0.0010888964,0.017625881],"study_design_scores_gemma":[0.0000024242079,0.0000067020947,0.997875,0.0000116068495,0.000009923226,0.000029050394,0.0006159386,0.00046538157,0.00006782556,0.000072238974,0.0008369262,0.0000069572293],"about_ca_topic_score_codex":0.98998255,"about_ca_topic_score_gemma":0.9955029,"teacher_disagreement_score":0.027046468,"about_ca_system_score_codex":0.027046468,"about_ca_system_score_gemma":0.014551879,"threshold_uncertainty_score":0.19623679},"labels":[],"label_agreement":null},{"id":"W2240138264","doi":"","title":"Écart entre la productivité du travail au Canada et aux États-Unis selon les catégories de taille d'entreprise","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02160382853205976,"score_gpt":0.25323450435405376,"score_spread":0.231630675821994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240138264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9504372,0.0028637473,0.001174917,0.0005537847,0.000025991483,0.000049273473,0.0056037568,0.00007098635,0.03922032],"genre_scores_gemma":[0.9622515,0.0021691786,0.0012846601,0.00010366701,0.00001556249,0.000043216776,0.0030953032,0.000027284383,0.031009655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863166,0.000101725505,0.000041336167,0.00022801814,0.0006529157,0.00034429316],"domain_scores_gemma":[0.9950422,0.0008662175,0.0007865221,0.00015788033,0.002434185,0.00071294396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010427521,0.00036156198,0.00032295426,0.0022374133,0.0016330843,0.0025407318,0.00054855034,0.00034939914,0.007185463],"category_scores_gemma":[0.002411683,0.00019822504,0.00056581927,0.005242469,0.00081493414,0.00068699464,0.0008850663,0.0007540409,0.0006551632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031549975,0.00005861225,0.8941156,0.00031087687,0.00032049566,0.0002647318,0.00931274,0.001279668,0.0028745586,0.0051706787,0.0031357624,0.082840726],"study_design_scores_gemma":[0.0000028823495,0.00003743103,0.97890145,0.00006680226,0.00004889018,0.000038416227,0.004194198,0.00038731287,0.00048454275,0.00015431562,0.015662711,0.000021077474],"about_ca_topic_score_codex":0.89214545,"about_ca_topic_score_gemma":0.95238703,"teacher_disagreement_score":0.107854545,"about_ca_system_score_codex":0.011017457,"about_ca_system_score_gemma":0.01456177,"threshold_uncertainty_score":0.21697938},"labels":[],"label_agreement":null},{"id":"W2240926532","doi":"","title":"Dynamique des entreprises: la disparition des nouvelles entreprises canadiennes: analyse de survie de la cohorte de 2002 des entreprises entrantes du secteur entreprises","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02484696022960138,"score_gpt":0.2629663528209813,"score_spread":0.23811939259137993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240926532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375904,0.0012566596,0.00040198403,0.00015105816,0.000008727219,0.000014365607,0.0029572353,0.000013399735,0.0014376051],"genre_scores_gemma":[0.9911742,0.0011967317,0.00032595443,0.000039859206,0.000017042134,0.000032911466,0.0023776246,0.000009214327,0.004826514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930143,0.00008883334,0.00004220555,0.00019417738,0.00019505863,0.00017835277],"domain_scores_gemma":[0.99447966,0.001097304,0.0021532527,0.0005451213,0.0011426697,0.00058190845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019916687,0.0002885696,0.00040122567,0.0022560016,0.0007549551,0.0018552922,0.00050008483,0.00063542405,0.0035045291],"category_scores_gemma":[0.0048730583,0.00025714052,0.00071344676,0.0030483042,0.00036025041,0.0009061629,0.00089179864,0.00073003396,0.0010746123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007962736,0.000024381348,0.9886962,0.000023275274,0.00008336556,0.00008166413,0.0011319943,0.00013350675,0.0004055753,0.00017037189,0.0003183063,0.008851672],"study_design_scores_gemma":[0.0000016398043,0.000048998463,0.99644035,0.000012946431,0.000026998045,0.00016224987,0.00068700686,0.00016952668,0.00016786449,0.000090654685,0.002183849,0.000007917201],"about_ca_topic_score_codex":0.0659083,"about_ca_topic_score_gemma":0.065860145,"teacher_disagreement_score":0.9340917,"about_ca_system_score_codex":0.0008680116,"about_ca_system_score_gemma":0.0012521001,"threshold_uncertainty_score":0.1310494},"labels":[],"label_agreement":null},{"id":"W2242966703","doi":"","title":"Différences de productivité du travail au Canada selon les catégories de taille d'entreprise, 2002 à 2008","year":2013,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.023406287579905538,"score_gpt":0.23326354173739186,"score_spread":0.20985725415748632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242966703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735671,0.0016524812,0.00043994587,0.00029443225,0.000011551511,0.000021024081,0.008414359,0.000043668104,0.015555301],"genre_scores_gemma":[0.9678835,0.0016011106,0.000815034,0.0000699473,0.000010647219,0.000021936825,0.0084007885,0.00001689965,0.021180127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941015,0.000017837581,0.000018538814,0.00008763988,0.00029912425,0.00016669536],"domain_scores_gemma":[0.9974565,0.00034785207,0.0005682134,0.00005626987,0.001183493,0.00038762408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038394934,0.00031218395,0.00023264157,0.0026156302,0.000933212,0.0015099534,0.00040144564,0.0002864652,0.003464673],"category_scores_gemma":[0.0013726798,0.00014840328,0.0005189419,0.004374257,0.0005749881,0.00044724657,0.00042703183,0.0006099493,0.00038167086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051087386,0.00008972432,0.9109819,0.00016742325,0.00023355428,0.00024725695,0.0051246197,0.0016396772,0.0033491068,0.0037336445,0.0046615335,0.06926066],"study_design_scores_gemma":[0.0000040240943,0.000036837035,0.98934793,0.000026366995,0.000019121157,0.00003300269,0.0012723336,0.00028008575,0.00049628236,0.00008534747,0.008384167,0.000014446791],"about_ca_topic_score_codex":0.9414357,"about_ca_topic_score_gemma":0.9733348,"teacher_disagreement_score":0.058564305,"about_ca_system_score_codex":0.00994164,"about_ca_system_score_gemma":0.009588242,"threshold_uncertainty_score":0.117818356},"labels":[],"label_agreement":null},{"id":"W2245920781","doi":"","title":"Prevalence and Longitudinal Trends of Early Internationalisation Patterns among Canadian SMEs","year":2012,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"","keywords":"Internationalization; Ceteris paribus; Multinomial logistic regression; Value (mathematics); Economics; Economic geography; Originality; Scale (ratio); Perspective (graphical); Entrepreneurship; International trade; Geography; Sociology; Microeconomics; Social science; Finance; Qualitative research","score_opus":0.03778507390551322,"score_gpt":0.20881097879857574,"score_spread":0.17102590489306252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245920781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923769,0.00035914165,0.00011351665,0.00042532853,0.000005980877,0.000014720935,0.0048176856,0.000008926638,0.0018776625],"genre_scores_gemma":[0.996376,0.00032223423,0.00015479735,0.000043561406,0.0000030128283,0.000010291846,0.0022891217,0.000002988399,0.0007980521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994492,0.000036863104,0.000039564744,0.00011299973,0.00014905486,0.00021233126],"domain_scores_gemma":[0.995886,0.00034366467,0.0012593435,0.00026554093,0.0014605935,0.0007847852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010760322,0.00021002363,0.00019511206,0.0023186158,0.0015225391,0.0011804197,0.0009995964,0.00037680814,0.0036190706],"category_scores_gemma":[0.004725,0.00016506798,0.0003691312,0.0035719753,0.0005543824,0.0007206155,0.0011052634,0.00066511956,0.0002810918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002405029,0.000012479294,0.9937457,0.000017718137,0.000014184571,0.000042915148,0.001104249,0.00006764409,0.000085550935,0.00019925839,0.00066896074,0.004017358],"study_design_scores_gemma":[8.769445e-7,0.0000065748827,0.9969445,0.00002540956,0.000006237513,0.000030362895,0.0019493848,0.00020720619,0.000048851787,0.000030048503,0.0007430323,0.0000075064895],"about_ca_topic_score_codex":0.96999633,"about_ca_topic_score_gemma":0.9823691,"teacher_disagreement_score":0.030003667,"about_ca_system_score_codex":0.008649119,"about_ca_system_score_gemma":0.011411177,"threshold_uncertainty_score":0.062754095},"labels":[],"label_agreement":null},{"id":"W2246231386","doi":"","title":"Une mise à jour des taux d'amortissement pour les Comptes canadiens de productivité","year":2015,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.08790973002079987,"score_gpt":0.30534589262523393,"score_spread":0.21743616260443405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246231386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8121264,0.009637985,0.14701878,0.0007731893,0.0002487942,0.00010704579,0.009677766,0.0007020358,0.019708052],"genre_scores_gemma":[0.92902285,0.0027971973,0.04540859,0.0000705691,0.0000676691,0.0001491401,0.005644817,0.00023688136,0.016602365],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971482,0.0006991984,0.00018515819,0.0009678092,0.0007789105,0.00022060628],"domain_scores_gemma":[0.98168564,0.012353503,0.0022172628,0.0014512405,0.001964361,0.00032787197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047196615,0.0010735921,0.00093002315,0.0027224466,0.00059632026,0.0030687526,0.0008035639,0.0011479186,0.0077172667],"category_scores_gemma":[0.022833545,0.0006339339,0.0021588267,0.003230362,0.0004623003,0.0020483434,0.000967002,0.0017413235,0.0029016205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016904342,0.00027244317,0.45778525,0.0015056895,0.001682968,0.00043399906,0.0043348223,0.15467474,0.007994254,0.01794418,0.004216906,0.34746426],"study_design_scores_gemma":[0.00007734774,0.0009087858,0.6911767,0.00084828964,0.0009185171,0.0009475095,0.0029750615,0.16998073,0.03794014,0.021084476,0.07269271,0.0004496969],"about_ca_topic_score_codex":0.020235708,"about_ca_topic_score_gemma":0.01530343,"teacher_disagreement_score":0.9797643,"about_ca_system_score_codex":0.0016958412,"about_ca_system_score_gemma":0.001358317,"threshold_uncertainty_score":0.040235877},"labels":[],"label_agreement":null},{"id":"W2247912221","doi":"10.1108/s1479-067x(2004)0000009018","title":"An Innovative Model for Skill Development in Silicon Valley North: O-Vitesse","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Silicon; Materials science; Optoelectronics","score_opus":0.056835690893764466,"score_gpt":0.23866995544750105,"score_spread":0.18183426455373658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247912221","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038888354,0.0026173391,0.110150106,0.0139746135,0.00031934498,0.00014128086,0.00071606634,0.00032230947,0.8328707],"genre_scores_gemma":[0.66718936,0.0038893912,0.032495648,0.0014970091,0.00017103924,0.00026272587,0.0005231564,0.0001489505,0.2938227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950564,0.000112198686,0.000009791497,0.00009014455,0.000099964265,0.00018226466],"domain_scores_gemma":[0.9994203,0.0001659938,0.000059961854,0.00003282219,0.0001453119,0.00017566315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068852963,0.00069498835,0.00040404292,0.0012947404,0.0018002522,0.003294047,0.0018403312,0.0020725352,0.03125849],"category_scores_gemma":[0.0013467009,0.0003084239,0.00091954053,0.0014626294,0.0029620347,0.0022620275,0.0020453755,0.0017676407,0.0029831892],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000241212,0.00003229091,0.0018209331,0.000045373272,0.000011486918,0.00021679103,0.00038708447,0.01682822,0.00013780023,0.95425785,0.011693438,0.014544504],"study_design_scores_gemma":[0.000119718294,0.0001308536,0.004283327,0.00022279675,0.00004693756,0.00050378963,0.00138245,0.122876465,0.00023638779,0.67845196,0.19168837,0.000056912813],"about_ca_topic_score_codex":0.15236688,"about_ca_topic_score_gemma":0.1766463,"teacher_disagreement_score":0.15236688,"about_ca_system_score_codex":0.006411562,"about_ca_system_score_gemma":0.011003374,"threshold_uncertainty_score":0.30295998},"labels":[],"label_agreement":null},{"id":"W224838789","doi":"","title":"Public Policy, Intermediaries and Innovation System Performance: A Comparative Analysis of Quebec and Ontario","year":2012,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intermediary; Order (exchange); Corporate governance; Business; Public policy; Information and Communications Technology; Public sector; Public relations; Marketing; Economics; Economic growth; Political science; Economy","score_opus":0.053515386525877395,"score_gpt":0.2068783881682377,"score_spread":0.1533630016423603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W224838789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96862215,0.0030149817,0.00028133974,0.0017569906,0.000019606365,0.00014149322,0.0044053555,0.00002945415,0.02172865],"genre_scores_gemma":[0.98919696,0.0011701378,0.00027789365,0.00021020792,0.000008988158,0.000058544898,0.0017489734,0.000015808879,0.0073125563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965197,0.00039179035,0.00014635838,0.00027463667,0.001097712,0.0015698781],"domain_scores_gemma":[0.9877615,0.0021592258,0.0018413245,0.0004157968,0.005706103,0.0021160657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998203,0.00034603482,0.00070086267,0.004634735,0.0067281434,0.0042882324,0.0019506977,0.0009653171,0.0051605436],"category_scores_gemma":[0.006752092,0.00033649855,0.0007248192,0.014815528,0.0020953265,0.0011152624,0.001924135,0.0007230307,0.00035963958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0006297372,0.0003712069,0.9000656,0.00077046576,0.00038033992,0.0012672722,0.02425733,0.002880683,0.001581715,0.015656672,0.011013491,0.041125562],"study_design_scores_gemma":[0.000042870146,0.000063495165,0.97021925,0.00021904588,0.00010640996,0.000085629035,0.013577676,0.0014223462,0.00020503566,0.00018211691,0.013830533,0.000045645917],"about_ca_topic_score_codex":0.9988348,"about_ca_topic_score_gemma":0.9994628,"teacher_disagreement_score":0.8494058,"about_ca_system_score_codex":0.15059416,"about_ca_system_score_gemma":0.122758485,"threshold_uncertainty_score":0.9851904},"labels":[],"label_agreement":null},{"id":"W2254405836","doi":"10.2139/ssrn.1101083","title":"Empirical Evidence on the Sustainability of the IT Innovation Capability","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Probit model; Sustainability; Probit; Business; Econometrics; Industrial organization; Position (finance); Empirical research; Economics; Environmental economics; Statistics; Mathematics","score_opus":0.08165081083717968,"score_gpt":0.2805679801195438,"score_spread":0.19891716928236414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254405836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91311365,0.0064369505,0.0012393673,0.005980286,0.000048136695,0.000019608406,0.00086136855,0.000022819328,0.072277844],"genre_scores_gemma":[0.99765575,0.0010904486,0.00011410841,0.000106445266,0.00004462885,0.000002862645,0.00027235175,0.0000042014203,0.0007092643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982064,0.00051707664,0.0002169015,0.00027665298,0.000504646,0.00027834746],"domain_scores_gemma":[0.8196268,0.12942584,0.034746565,0.0055467812,0.007590305,0.0030637465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005033536,0.00024660595,0.00033515162,0.003349594,0.00048128347,0.0032402817,0.000721948,0.0010875547,0.01572368],"category_scores_gemma":[0.045066655,0.0001629353,0.0005023197,0.0047129467,0.0026313348,0.0028864874,0.0017470596,0.0014541529,0.00095535634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068773254,0.0003583517,0.86742556,0.0005598917,0.0004759293,0.00082272897,0.0014840593,0.0033999335,0.0011659351,0.056700967,0.0021767854,0.06474209],"study_design_scores_gemma":[0.00007777239,0.0003586413,0.9196467,0.0005131054,0.00056495075,0.00064438785,0.0053451597,0.0027514747,0.0025684845,0.049568813,0.01792724,0.00003330955],"about_ca_topic_score_codex":0.0025075031,"about_ca_topic_score_gemma":0.0032585629,"teacher_disagreement_score":0.01572368,"about_ca_system_score_codex":0.00076447957,"about_ca_system_score_gemma":0.0012298422,"threshold_uncertainty_score":0.05260092},"labels":[],"label_agreement":null},{"id":"W2254580738","doi":"10.2139/ssrn.909894","title":"General Electric's Acquisition of Amersham Plc","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Chemistry","score_opus":0.01693614876025469,"score_gpt":0.20799735008796255,"score_spread":0.19106120132770787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254580738","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043567974,0.0018731777,0.0029985392,0.045710996,0.006175067,0.00030739012,0.0035885302,0.0034092204,0.89236915],"genre_scores_gemma":[0.04801265,0.00034785637,0.0005167129,0.0026700876,0.0005577176,0.000018121546,0.0008347952,0.0001070148,0.94693494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917394,0.000049994123,0.000018991814,0.00016909343,0.00039760326,0.00019038247],"domain_scores_gemma":[0.997684,0.0002473883,0.00012167782,0.0002664507,0.0009844974,0.00069592154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096573605,0.0005832732,0.00037084837,0.0014106983,0.0010661072,0.0020383126,0.0006861816,0.002068356,0.15087935],"category_scores_gemma":[0.0026881273,0.00029820285,0.0004244567,0.00061870366,0.000658314,0.0014332174,0.0014942823,0.0023520286,0.055172797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039792052,0.00031534833,0.0061080935,0.00010814183,0.000028782413,0.0015125119,0.00015091509,0.00047753786,0.0029381127,0.020676479,0.81681454,0.15047158],"study_design_scores_gemma":[0.000080068654,0.00019203917,0.007584856,0.00003633091,0.000017365508,0.0006214037,0.000102791164,0.0006043083,0.0016653409,0.0015170687,0.98756266,0.000015778245],"about_ca_topic_score_codex":0.013654646,"about_ca_topic_score_gemma":0.019565534,"teacher_disagreement_score":0.15087935,"about_ca_system_score_codex":0.0025023678,"about_ca_system_score_gemma":0.0058803298,"threshold_uncertainty_score":0.5047417},"labels":[],"label_agreement":null},{"id":"W2256978283","doi":"","title":"Small Business Exporters: A Canadian Profile","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Business; Order (exchange); Value (mathematics); Small business; International trade; International economics; Economics; Finance","score_opus":0.022272853360632148,"score_gpt":0.19000420997306303,"score_spread":0.16773135661243088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256978283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4649454,0.0021082223,0.0007253068,0.0027265258,0.000060072412,0.0005204973,0.42159125,0.00035472907,0.10696804],"genre_scores_gemma":[0.67705905,0.006466222,0.0018388991,0.0010678321,0.000055056524,0.0002565466,0.2286379,0.00019146406,0.08442707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902666,0.00001575524,0.000045978773,0.00006714147,0.00050362205,0.000340783],"domain_scores_gemma":[0.9960419,0.00008109965,0.00043540777,0.00008664892,0.002639891,0.00071507867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000607569,0.0005784048,0.00029301588,0.009773958,0.002900826,0.0014392609,0.0008482905,0.00037351865,0.02419165],"category_scores_gemma":[0.0016159082,0.00040287926,0.00060863054,0.013718514,0.0002678521,0.00093721465,0.0011343992,0.0006004545,0.004761453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024938674,0.00009135494,0.75365293,0.00035369836,0.00005768688,0.00049506687,0.00240038,0.00040117127,0.0010646321,0.0014738949,0.16800632,0.07175343],"study_design_scores_gemma":[0.000010867067,0.000035760557,0.91704243,0.00010194602,0.000022282598,0.00029230496,0.0016436669,0.0004186724,0.00023224356,0.00008013886,0.080064684,0.000055016997],"about_ca_topic_score_codex":0.98055995,"about_ca_topic_score_gemma":0.9880045,"teacher_disagreement_score":0.02419165,"about_ca_system_score_codex":0.009870755,"about_ca_system_score_gemma":0.025597103,"threshold_uncertainty_score":0.0809291},"labels":[],"label_agreement":null},{"id":"W2256989643","doi":"10.5539/ibr.v10n1p240","title":"Economic Performance of U.S. Multinational Manufacturing Firms: The Linkages between Foreign Direct Investment and Firm Strategy","year":2016,"lang":"en","type":"preprint","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Multinational corporation; Business; Export performance; Sample (material); International economics; Industrial organization; International trade; Economics; Finance","score_opus":0.09943940175577176,"score_gpt":0.3249183323354849,"score_spread":0.22547893057971313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256989643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983657,0.00010294884,0.000055951128,0.00008290914,0.0000030350768,0.0000025549841,0.000351899,0.0000016898177,0.0010332299],"genre_scores_gemma":[0.998835,0.000086628126,0.000037616606,0.00001299306,0.0000050966833,0.0000030070807,0.00074590393,0.000001098866,0.0002726659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994554,0.00015862033,0.000057425856,0.00009263941,0.0001141786,0.00012175119],"domain_scores_gemma":[0.9944317,0.00164639,0.0025654247,0.00023996866,0.0005915207,0.00052497216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013979852,0.00034845772,0.00035740397,0.001194499,0.00028414332,0.0011107065,0.00023234586,0.00037583805,0.0014318887],"category_scores_gemma":[0.0052286508,0.00010921305,0.00024229358,0.0020397392,0.00039487606,0.0007279432,0.0008507914,0.00048968813,0.0004235691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038999315,0.000061290084,0.99607444,0.0000054190155,0.000050711446,0.000033736447,0.00009132213,0.00047524166,0.00013463844,0.00022934705,0.0001742459,0.0026307534],"study_design_scores_gemma":[0.0000023331982,0.000056562945,0.9984207,0.0000053950475,0.000015407188,0.000024341853,0.00022894671,0.00066790957,0.00016740932,0.000099746685,0.00030719218,0.000003982455],"about_ca_topic_score_codex":0.011108151,"about_ca_topic_score_gemma":0.019282464,"teacher_disagreement_score":0.011108151,"about_ca_system_score_codex":0.00057449995,"about_ca_system_score_gemma":0.00040537104,"threshold_uncertainty_score":0.022086978},"labels":[],"label_agreement":null},{"id":"W2263787506","doi":"","title":"The Evolution of Manufacturing Employment in Canada: The Role of Outsourcing","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Manufacturing; Business; Labour economics; Wage share; Industrial organization; Economics; Wage; Marketing; Efficiency wage","score_opus":0.08149547392637321,"score_gpt":0.2807292056876826,"score_spread":0.1992337317613094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263787506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657052,0.0029044282,0.0002977425,0.004676135,0.000035571462,0.000029889397,0.0067013595,0.000040412204,0.019609276],"genre_scores_gemma":[0.991302,0.0013639405,0.00023383011,0.00013359833,0.0000128526135,0.000005104271,0.0016000891,0.000010545647,0.005337961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998869,0.000041315678,0.000029526505,0.0000751937,0.00048594584,0.00049897045],"domain_scores_gemma":[0.99711525,0.00016615137,0.00044347616,0.00004804236,0.0016805262,0.0005465064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005731652,0.00027125573,0.00036139364,0.002528474,0.0029218616,0.0024477583,0.00095473626,0.00045846426,0.002942007],"category_scores_gemma":[0.0027258717,0.00018759197,0.00044408222,0.007054647,0.0008028376,0.0005949595,0.0010414247,0.0008339937,0.0002557854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023105882,0.00007826291,0.9111175,0.00014363498,0.00009369658,0.00067811686,0.0030462618,0.0054889326,0.0008832583,0.008740385,0.010529643,0.058969244],"study_design_scores_gemma":[0.0000062796803,0.000018028179,0.98297095,0.00005735542,0.000020664835,0.000068829664,0.0031713352,0.00241962,0.00035305996,0.00021248232,0.010681649,0.000019788038],"about_ca_topic_score_codex":0.9977214,"about_ca_topic_score_gemma":0.99843365,"teacher_disagreement_score":0.06360808,"about_ca_system_score_codex":0.06360808,"about_ca_system_score_gemma":0.062276334,"threshold_uncertainty_score":0.46151108},"labels":[],"label_agreement":null},{"id":"W2265940505","doi":"10.3138/cpp.2017-006","title":"Trends in Firm Entry and New Entrepreneurship in Canada","year":2017,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Entrepreneurship; Debt; Wage; Government (linguistics); Economics; Population; Business; Demographic economics; Labour economics; Macroeconomics; Finance; Sociology","score_opus":0.05745916847828347,"score_gpt":0.2329219940577289,"score_spread":0.17546282557944543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265940505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703644,0.0037366732,0.00020617172,0.0034830356,0.000041766456,0.00003026731,0.008006235,0.000057490364,0.014073904],"genre_scores_gemma":[0.98752594,0.0019018591,0.00010673739,0.00016115727,0.000020775567,0.0000065807835,0.0027322413,0.000011568948,0.0075331223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882215,0.000047028676,0.00004260327,0.000109523404,0.00041979848,0.0005587748],"domain_scores_gemma":[0.9921406,0.0007459676,0.0014450928,0.00013494407,0.0034296385,0.0021038253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085728086,0.00023766473,0.00049354805,0.0039156307,0.0021036551,0.00272519,0.000902098,0.0005505266,0.0037402944],"category_scores_gemma":[0.0049041114,0.0002288455,0.00049216737,0.0057001077,0.0008989769,0.00090051617,0.0012022903,0.0012390563,0.00032840887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030012475,0.00011374777,0.9318649,0.0001371615,0.00008272998,0.0004755173,0.0031490698,0.0016117395,0.00037214134,0.0053306203,0.01490243,0.04165987],"study_design_scores_gemma":[0.000009849362,0.000020042615,0.98960507,0.00005819185,0.000014511312,0.000046935926,0.0014332324,0.0012417043,0.00011984079,0.00016632644,0.0072595463,0.000024851144],"about_ca_topic_score_codex":0.99421,"about_ca_topic_score_gemma":0.99710757,"teacher_disagreement_score":0.95776796,"about_ca_system_score_codex":0.04223201,"about_ca_system_score_gemma":0.035702784,"threshold_uncertainty_score":0.3064161},"labels":[],"label_agreement":null},{"id":"W2269128497","doi":"","title":"The Distribution of Gross Domestic Product and Hours Worked in Canada and the United States Across Firm Size Classes","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Distribution (mathematics); Product (mathematics); Gross domestic income; Business; Economics; Agricultural economics; Demographic economics; Labour economics; Economic growth; Public economics; Gross income; Mathematics","score_opus":0.02356797800888083,"score_gpt":0.27845355558320123,"score_spread":0.2548855775743204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269128497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96140856,0.0015221152,0.00015849144,0.00043115614,0.000018334105,0.00001417696,0.02758829,0.000045574896,0.008813352],"genre_scores_gemma":[0.9805629,0.0011911389,0.00013914333,0.00007156791,0.000011578577,0.000008914966,0.014032497,0.000015908403,0.003966234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999463,0.000025636231,0.000025656484,0.00007879213,0.00021493918,0.0001920077],"domain_scores_gemma":[0.9971831,0.0003347468,0.0005616651,0.000061800754,0.0012483933,0.0006103117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030052065,0.00020811851,0.00023563091,0.0033102839,0.00071485597,0.0012705008,0.0005999866,0.00022902907,0.0024543726],"category_scores_gemma":[0.0024611484,0.0001533837,0.00029111042,0.0066457735,0.0005556661,0.00035027225,0.00050302834,0.00041749343,0.00036824087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010360438,0.00002108449,0.97367346,0.00005432275,0.000082907696,0.00014969327,0.001147046,0.0011023367,0.0003360818,0.000960718,0.007586317,0.014782547],"study_design_scores_gemma":[0.0000018685947,0.0000044866492,0.9966744,0.000015356496,0.0000061533483,0.000032154527,0.0006983052,0.00023455005,0.00005877143,0.000036473746,0.0022305248,0.0000070474985],"about_ca_topic_score_codex":0.98006207,"about_ca_topic_score_gemma":0.9865189,"teacher_disagreement_score":0.019937932,"about_ca_system_score_codex":0.008226047,"about_ca_system_score_gemma":0.007925541,"threshold_uncertainty_score":0.059684455},"labels":[],"label_agreement":null},{"id":"W2271799560","doi":"","title":"Le Québec à l'heure de la mondialisation","year":2008,"lang":"fr","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01461724353946958,"score_gpt":0.21317770625784727,"score_spread":0.19856046271837768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271799560","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041528717,0.052624892,0.0061031855,0.065882154,0.0036863987,0.00011920956,0.0054370547,0.0005094087,0.824109],"genre_scores_gemma":[0.23620355,0.02794665,0.0052992366,0.0041302624,0.00028817012,0.00007758909,0.00218115,0.0002480321,0.7236253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913067,0.00010176945,0.000020132478,0.00015397638,0.00041404812,0.00017945527],"domain_scores_gemma":[0.9985965,0.00011439642,0.00007492225,0.00009360444,0.0008276811,0.00029294306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062648224,0.0006848762,0.0005092543,0.0012733593,0.0052974606,0.006262408,0.0008154573,0.0013377946,0.065813206],"category_scores_gemma":[0.0015757731,0.0002950865,0.00052941113,0.0041281516,0.0026220358,0.0022454122,0.0017708881,0.0022891914,0.004464324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017794485,0.00006351739,0.021457119,0.00086710113,0.00010590215,0.00046023735,0.006312535,0.0012286751,0.0025584842,0.23759918,0.4183408,0.31082845],"study_design_scores_gemma":[0.000005575411,0.000011868636,0.017977852,0.00020163879,0.000016057988,0.00006884684,0.0016906025,0.0002520891,0.00020975157,0.002544215,0.9770015,0.000019971494],"about_ca_topic_score_codex":0.9632019,"about_ca_topic_score_gemma":0.974069,"teacher_disagreement_score":0.065813206,"about_ca_system_score_codex":0.036423765,"about_ca_system_score_gemma":0.042415455,"threshold_uncertainty_score":0.26427412},"labels":[],"label_agreement":null},{"id":"W2274052263","doi":"","title":"Beware of yield chasing : investment insights","year":2012,"lang":"en","type":"article","venue":"Personal Finance Newsletter","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Unit trust; Yield (engineering); Quarter (Canadian coin); Investment (military); Economics; Econometrics; Business; Actuarial science; Finance; Mathematics; Geography; Political science","score_opus":0.05376197472736684,"score_gpt":0.21790751977122355,"score_spread":0.1641455450438567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274052263","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2200277,0.011019218,0.09387033,0.074862845,0.00056006666,0.00013221803,0.0028481348,0.0005423266,0.5961371],"genre_scores_gemma":[0.94632363,0.0054415856,0.007817373,0.0012293733,0.00046408433,0.000039648752,0.0006956911,0.00021352632,0.03777519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909365,0.00015960535,0.00004574881,0.00015001088,0.00034432005,0.00020664909],"domain_scores_gemma":[0.992295,0.0038981033,0.0018735501,0.0004966125,0.0010996013,0.0003370689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018475297,0.00066263584,0.0006148774,0.002007034,0.0010372674,0.0069986107,0.001215341,0.0014771529,0.017237114],"category_scores_gemma":[0.018469222,0.00049655844,0.00050623453,0.0027419613,0.001492347,0.0077913995,0.0017232076,0.0041649644,0.0019866554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016074318,0.00013518026,0.036950856,0.00016788261,0.000061903025,0.0010949005,0.0013374834,0.008277376,0.0006343332,0.84686494,0.034202013,0.07011236],"study_design_scores_gemma":[0.000022723625,0.00013299086,0.047805402,0.00029880286,0.00006999329,0.0006322801,0.0027554955,0.054000277,0.001448422,0.8126625,0.08006605,0.00010495361],"about_ca_topic_score_codex":0.008415412,"about_ca_topic_score_gemma":0.009688971,"teacher_disagreement_score":0.017237114,"about_ca_system_score_codex":0.0025911175,"about_ca_system_score_gemma":0.001211018,"threshold_uncertainty_score":0.057663918},"labels":[],"label_agreement":null},{"id":"W2275875045","doi":"","title":"Croissance de la productivite et croissance economique dans les provinces canadiennes, 1997 a 2010","year":2013,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Humanities; Philosophy","score_opus":0.0364726035500013,"score_gpt":0.28055262944275045,"score_spread":0.24408002589274913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275875045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445518,0.008564812,0.00063425174,0.001337116,0.000051853694,0.000025005509,0.026791472,0.00007636129,0.017967261],"genre_scores_gemma":[0.9794032,0.0038091338,0.0007395281,0.00008068082,0.00002197293,0.000020988602,0.006596002,0.000015705471,0.009312802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892163,0.00009147763,0.000066406465,0.00018975913,0.00038193003,0.00034883944],"domain_scores_gemma":[0.9943844,0.0012152565,0.0011791781,0.00027679562,0.0023705065,0.0005737121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011879638,0.00032508542,0.00046027146,0.004424564,0.0009266483,0.0018782546,0.00045288814,0.00030077403,0.0030754632],"category_scores_gemma":[0.0050743115,0.0003069642,0.00058180577,0.013769821,0.0006700774,0.00058228977,0.0007477465,0.0008727754,0.00045037546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029441278,0.00003711364,0.9391871,0.00027106208,0.00022491238,0.00019541732,0.00401407,0.0019592806,0.00065419,0.004473998,0.0040661423,0.04462218],"study_design_scores_gemma":[0.000008312336,0.000024232335,0.979579,0.00005403663,0.000036594934,0.000055574423,0.0012050564,0.0003565216,0.00024940624,0.00016626275,0.018250875,0.000014299505],"about_ca_topic_score_codex":0.9198634,"about_ca_topic_score_gemma":0.9427113,"teacher_disagreement_score":0.9865902,"about_ca_system_score_codex":0.013409765,"about_ca_system_score_gemma":0.015982907,"threshold_uncertainty_score":0.16121703},"labels":[],"label_agreement":null},{"id":"W2276434347","doi":"","title":"Unincorporated Self-employment in Canada, 1989 to 2010","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Self-employment; Agency (philosophy); Revenue; Income tax; Business; Gross income; Self employed; Labour economics; Economics; State income tax; Public economics; Finance; Entrepreneurship; Tax reform","score_opus":0.06386020924328845,"score_gpt":0.280561035052775,"score_spread":0.21670082580948657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276434347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7387715,0.0049425615,0.00028925418,0.0017306808,0.000102225866,0.0001036149,0.22976412,0.00011559275,0.02418041],"genre_scores_gemma":[0.87093025,0.0061053066,0.00038745988,0.0004150951,0.000060113118,0.00004328307,0.0942991,0.000032645148,0.027726712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991191,0.000018467183,0.000044134194,0.00008323704,0.00037124884,0.00036380376],"domain_scores_gemma":[0.9966338,0.00011956159,0.0005991298,0.000059516366,0.0018467738,0.0007411902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052148564,0.00036278146,0.00044933343,0.0033074205,0.0018243567,0.001607785,0.0009322145,0.0003412962,0.0030337626],"category_scores_gemma":[0.002502963,0.00019674744,0.0003369538,0.00794579,0.0005896428,0.00060132216,0.0010073306,0.00094817637,0.0005424302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029508804,0.00013281725,0.8784523,0.00038334721,0.00013671546,0.00042409994,0.0027052797,0.0011375395,0.00037209204,0.0029658508,0.06524875,0.04774601],"study_design_scores_gemma":[0.000006294372,0.000015092545,0.9720318,0.00008606919,0.000024000205,0.00007058003,0.0016093336,0.00032904392,0.00022906803,0.00006408887,0.025519324,0.000015264308],"about_ca_topic_score_codex":0.9961389,"about_ca_topic_score_gemma":0.99824,"teacher_disagreement_score":0.026277155,"about_ca_system_score_codex":0.026277155,"about_ca_system_score_gemma":0.04200964,"threshold_uncertainty_score":0.190655},"labels":[],"label_agreement":null},{"id":"W2280947424","doi":"10.14288/1.0048508","title":"Technology diffusion : the troll under the bridge : a pilot study of low and highhealth technology in British Columbia","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Diffusion; Geography; Engineering","score_opus":0.013309086886589515,"score_gpt":0.17067386390503073,"score_spread":0.1573647770184412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280947424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978102,0.00007648345,0.00006442025,0.00019652063,0.0000028280758,0.000047831632,0.00016023386,0.0000024100839,0.0016390235],"genre_scores_gemma":[0.99507314,0.00015048096,0.00018747013,0.0002736632,0.0000024268604,0.00005792883,0.00026509402,0.0000065557483,0.003983385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838936,0.0003080527,0.00006940826,0.00016291939,0.00036585095,0.00070441235],"domain_scores_gemma":[0.99525696,0.0011080821,0.00035034725,0.0001977625,0.001937269,0.0011496233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014171313,0.00040178237,0.00067382824,0.0022687756,0.0066570113,0.0027463017,0.0015616422,0.0009692785,0.003308895],"category_scores_gemma":[0.0047798767,0.0005566595,0.00027499895,0.005109357,0.0018440173,0.0012563224,0.002305486,0.0020473287,0.0005251975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007388054,0.0020898334,0.73715204,0.00019920192,0.00006293684,0.0022425023,0.19754183,0.00041220916,0.0039327983,0.0021061606,0.0039727506,0.049548935],"study_design_scores_gemma":[0.000039778755,0.000247954,0.7247641,0.00009718532,0.000025054123,0.00017751445,0.26820338,0.00079622644,0.00048150137,0.0002142005,0.0048879622,0.000065167296],"about_ca_topic_score_codex":0.9824829,"about_ca_topic_score_gemma":0.99267465,"teacher_disagreement_score":0.023705896,"about_ca_system_score_codex":0.023705896,"about_ca_system_score_gemma":0.025255146,"threshold_uncertainty_score":0.17199916},"labels":[],"label_agreement":null},{"id":"W2281778058","doi":"","title":"Explanations of the Decline in Manufacturing Employment in Canada","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Productivity; Labour economics; Economics; Liberian dollar; Competition (biology); Slowdown; Manufacturing; Manufacturing sector; Job loss; Business; Unemployment; Economic growth","score_opus":0.20201739534156118,"score_gpt":0.3253927341488876,"score_spread":0.1233753388073264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281778058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7423104,0.008925125,0.001024843,0.085378796,0.00042730046,0.00008251444,0.0105980905,0.00027286893,0.15098],"genre_scores_gemma":[0.9784878,0.002244353,0.00027862185,0.001917057,0.000057887064,0.000011266055,0.0017488609,0.000037145113,0.015216989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985361,0.000030530748,0.00003277852,0.00011012361,0.00043470372,0.00085575343],"domain_scores_gemma":[0.9975406,0.00013829587,0.00026425775,0.000060967024,0.0014406459,0.00055524317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008973817,0.0002444229,0.00038691875,0.0027964716,0.006207993,0.0026269185,0.0015865958,0.0007629305,0.008396692],"category_scores_gemma":[0.0030885625,0.00024305296,0.00047974882,0.005433742,0.0014545816,0.00063281803,0.001333918,0.002019898,0.0005624946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050901604,0.00011821446,0.57505167,0.00045434677,0.000110951114,0.00417686,0.013308201,0.0064826175,0.0037903795,0.1316878,0.13895959,0.12535045],"study_design_scores_gemma":[0.000026185144,0.000028194792,0.8454774,0.00025752335,0.000027638753,0.00034369325,0.013151947,0.0037447568,0.001313691,0.005096226,0.13045487,0.000077905956],"about_ca_topic_score_codex":0.994337,"about_ca_topic_score_gemma":0.99544626,"teacher_disagreement_score":0.07200573,"about_ca_system_score_codex":0.07200573,"about_ca_system_score_gemma":0.055940792,"threshold_uncertainty_score":0.52244055},"labels":[],"label_agreement":null},{"id":"W2282683404","doi":"10.2139/ssrn.971260","title":"An Estimation Risk Interpretation of IPO Anomalies","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Initial public offering; Interpretation (philosophy); Estimation; Econometrics; Business; Economics; Computer science; Accounting; Management","score_opus":0.007998417857762534,"score_gpt":0.2308599271136807,"score_spread":0.22286150925591816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282683404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059958,0.00061749265,0.9317245,0.0018669699,0.00010360941,0.000018249593,0.000102685735,0.00027436292,0.0053340476],"genre_scores_gemma":[0.95642287,0.00039030658,0.0397922,0.00013283185,0.0004230189,0.00002254304,0.00012725373,0.00010596755,0.002583122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785537,0.0011277313,0.0001408579,0.00032746847,0.0004104317,0.00013820647],"domain_scores_gemma":[0.9801445,0.015026723,0.0018995168,0.001515983,0.0011936856,0.00021962934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054117874,0.0007899928,0.0007891159,0.0018517474,0.000312564,0.00319493,0.0011344921,0.0015086246,0.002551343],"category_scores_gemma":[0.04775409,0.00043939706,0.0008714039,0.0012092503,0.0011691165,0.003946355,0.0017929835,0.0017766731,0.0002305388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014533146,0.00004784176,0.010157244,0.00009995575,0.000119127464,0.0004062177,0.00032733186,0.16501355,0.0028193549,0.7505128,0.0023587993,0.06799252],"study_design_scores_gemma":[0.000015081577,0.000044918994,0.002434763,0.000030694144,0.0000482854,0.00017326562,0.0000519035,0.6824553,0.0011024883,0.3124381,0.0011803114,0.000024912026],"about_ca_topic_score_codex":0.0008644497,"about_ca_topic_score_gemma":0.000334922,"teacher_disagreement_score":0.0054117874,"about_ca_system_score_codex":0.0007258713,"about_ca_system_score_gemma":0.00037741207,"threshold_uncertainty_score":0.0286206},"labels":[],"label_agreement":null},{"id":"W2285187695","doi":"10.3917/hori.007.0030","title":"Le profit contre la croissance ?","year":2008,"lang":"fr","type":"article","venue":"Cairn.info","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.029090728046586564,"score_gpt":0.20713891283515104,"score_spread":0.1780481847885645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285187695","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16388348,0.013779645,0.009839903,0.049059313,0.0007401434,0.00007609878,0.00062305137,0.00016221793,0.7618361],"genre_scores_gemma":[0.833588,0.0050692847,0.0006820979,0.0015955997,0.00051024795,0.000031011965,0.00016602935,0.00005459977,0.1583031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882346,0.00022192347,0.000043598666,0.0001952351,0.00039025728,0.00032542367],"domain_scores_gemma":[0.9975706,0.0008416591,0.0005176396,0.00015689315,0.0005732497,0.00033995224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015394636,0.00038566795,0.00039771857,0.0010935278,0.0013687825,0.0067625283,0.00070303585,0.0017738425,0.042155094],"category_scores_gemma":[0.0061725946,0.00018744482,0.00043159,0.0011553322,0.00363721,0.0035753557,0.0022717966,0.002897457,0.004781574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001907251,0.000077968565,0.00951019,0.00023919369,0.000045152035,0.00044719898,0.0018184491,0.003818861,0.000713215,0.8947671,0.01646098,0.07191091],"study_design_scores_gemma":[0.00006702155,0.00022485848,0.0297078,0.0009134211,0.00005894585,0.0006924339,0.005652885,0.004532359,0.0017054719,0.4775954,0.4787738,0.00007568783],"about_ca_topic_score_codex":0.011037764,"about_ca_topic_score_gemma":0.008195314,"teacher_disagreement_score":0.042155094,"about_ca_system_score_codex":0.0048133302,"about_ca_system_score_gemma":0.0035748545,"threshold_uncertainty_score":0.1410228},"labels":[],"label_agreement":null},{"id":"W2285542227","doi":"10.2139/ssrn.940478","title":"Do Location Characteristics Have Different Survival Values for High and Low-Technology De Novo Enterprises?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Statistics; Mathematics","score_opus":0.009057403964092504,"score_gpt":0.21115773980207486,"score_spread":0.20210033583798237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285542227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885976,0.00007878423,0.00019869771,0.00011397394,0.0000033928898,0.0000023910582,0.00015334575,0.0000038812664,0.000585842],"genre_scores_gemma":[0.999571,0.000022012191,0.00002429265,0.000015268208,0.0000038948165,8.104836e-7,0.00010508191,0.0000022159386,0.00025538594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999506,0.00008703016,0.000034524146,0.00009736613,0.0000475729,0.00022748158],"domain_scores_gemma":[0.9815435,0.008081632,0.0063233143,0.00075842073,0.00066800276,0.0026251443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400567,0.00020324532,0.00048523417,0.0010500371,0.00044750716,0.0014249139,0.0006321941,0.0012221128,0.009072845],"category_scores_gemma":[0.008326418,0.00017637762,0.0006314327,0.0009434021,0.0008985551,0.0013774951,0.00073319965,0.0007857052,0.0016765473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044849922,0.000057411515,0.99166626,0.00001604077,0.00010552918,0.00018665659,0.0004311168,0.0002667416,0.001128153,0.00040936025,0.0001614514,0.0051227305],"study_design_scores_gemma":[0.00001962468,0.00014720757,0.994478,0.0000104397495,0.00007816234,0.0002589387,0.0024624795,0.00062960974,0.00040294792,0.0012658394,0.00023335856,0.000013439016],"about_ca_topic_score_codex":0.002490143,"about_ca_topic_score_gemma":0.0039049978,"teacher_disagreement_score":0.009072845,"about_ca_system_score_codex":0.00026163395,"about_ca_system_score_gemma":0.00023048124,"threshold_uncertainty_score":0.030351698},"labels":[],"label_agreement":null},{"id":"W2285811193","doi":"","title":"The Labor Market, the Decision to Become an Entrepreneur, and the Firm Size Distribution","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market size; Distribution (mathematics); Business; Industrial organization; Commerce; Mathematics","score_opus":0.028024449936277316,"score_gpt":0.2875255217343749,"score_spread":0.25950107179809756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285811193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814602,0.00037480783,0.0035970418,0.0035331703,0.000018217968,0.000027926375,0.00015916013,0.00001146763,0.010818007],"genre_scores_gemma":[0.9954163,0.00019397718,0.0002037137,0.00014228588,0.000034094657,0.000010987207,0.000047261994,0.0000030502401,0.0039483304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996195,0.00011609429,0.000017332306,0.00007037857,0.00004207605,0.00013466005],"domain_scores_gemma":[0.9953042,0.0023362783,0.0012303804,0.0001595838,0.000095368836,0.0008741469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144112,0.00011306865,0.0004283403,0.00043846105,0.00061371166,0.0018916801,0.00039384956,0.001261789,0.010776574],"category_scores_gemma":[0.005643257,0.0002035717,0.00034479023,0.00036248827,0.0013253638,0.0014086458,0.0006882036,0.0009152505,0.0011389995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014532162,0.0012236799,0.73108,0.00012247673,0.00021490912,0.0025123565,0.0019304154,0.013228089,0.005530382,0.12820104,0.0053810915,0.109122284],"study_design_scores_gemma":[0.00026282144,0.0004141465,0.6897899,0.000103953105,0.00010466167,0.0012674392,0.004799929,0.029191274,0.0011101282,0.2653488,0.0075438335,0.00006327054],"about_ca_topic_score_codex":0.001913456,"about_ca_topic_score_gemma":0.002743032,"teacher_disagreement_score":0.010776574,"about_ca_system_score_codex":0.00053267594,"about_ca_system_score_gemma":0.0003861606,"threshold_uncertainty_score":0.036051273},"labels":[],"label_agreement":null},{"id":"W2289930237","doi":"10.2139/ssrn.2700779","title":"Oh the Financial Ecosystem for SMEs: On the Role of Age and Size as Sources of Risk in SME Lending","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Business; Ecosystem; Finance; Financial system; Ecology","score_opus":0.016825784665109002,"score_gpt":0.21073835938060576,"score_spread":0.19391257471549675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289930237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94013643,0.0072045703,0.003877866,0.02594319,0.00015006839,0.000024915953,0.00046229077,0.000051722607,0.022148978],"genre_scores_gemma":[0.99697554,0.0011062344,0.00024421135,0.000329067,0.00013359707,0.0000029462258,0.000041604133,0.000008616701,0.001158133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994356,0.00024759132,0.00004275533,0.00006864585,0.00008573076,0.00011952507],"domain_scores_gemma":[0.98273855,0.010256456,0.0034757354,0.00056784373,0.00095505273,0.002006349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003474925,0.00027999972,0.00060401385,0.0012811726,0.0009057162,0.005445916,0.0006608208,0.0015267107,0.008396521],"category_scores_gemma":[0.018303765,0.00019933417,0.00046116606,0.0012948317,0.0021143416,0.010209902,0.0030561846,0.0013650911,0.00046370242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014188072,0.00058884977,0.6712923,0.00050545944,0.00038045875,0.0014056683,0.005659223,0.0043668486,0.0017602722,0.16476071,0.009842939,0.13801855],"study_design_scores_gemma":[0.00015482279,0.00054672034,0.44584993,0.0006681124,0.0010202364,0.00070837827,0.022739666,0.014492679,0.0017536636,0.49511063,0.016751962,0.00020315158],"about_ca_topic_score_codex":0.0049606017,"about_ca_topic_score_gemma":0.008316357,"teacher_disagreement_score":0.008396521,"about_ca_system_score_codex":0.0007138331,"about_ca_system_score_gemma":0.0009923549,"threshold_uncertainty_score":0.028089225},"labels":[],"label_agreement":null},{"id":"W2290943870","doi":"10.5937/industrija43-8163","title":"Lenovo acquires IBM's x86 low-end server business","year":2015,"lang":"en","type":"article","venue":"Industrija","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"IBM; x86; Competition (biology); Business; Database; Government (linguistics); Computer science; Industrial organization; Commerce; Operating system; Software","score_opus":0.11093914009594882,"score_gpt":0.23258643223095132,"score_spread":0.1216472921350025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290943870","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643803,0.00023328754,0.00023579158,0.0003388376,0.0000050731587,0.000026426762,0.00038760787,0.000015395877,0.03437733],"genre_scores_gemma":[0.9872198,0.00045738253,0.00025950928,0.000049215054,0.00000934273,0.000010055043,0.00070785714,0.000008666022,0.011278135],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995901,0.000049742288,0.000015443955,0.000049539573,0.00018303868,0.000112152535],"domain_scores_gemma":[0.99922097,0.0002654385,0.00026006525,0.000024182018,0.00013757405,0.000091824215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468108,0.000121277815,0.0001533473,0.0011781871,0.0007641984,0.002602268,0.00016126368,0.00021987496,0.0037749256],"category_scores_gemma":[0.0010021834,0.0000943697,0.00015452626,0.001335231,0.00048684908,0.0011461562,0.000702056,0.00048129493,0.00045383803],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043095023,0.00030177573,0.84190583,0.00021959627,0.000042607757,0.0027315477,0.004566834,0.006084663,0.008763555,0.037579246,0.0064540193,0.09091936],"study_design_scores_gemma":[0.000010169165,0.0001580316,0.93093574,0.000103239836,0.000019778276,0.00037928237,0.010874832,0.0033565243,0.0056576673,0.0018259299,0.046650358,0.00002840466],"about_ca_topic_score_codex":0.026514402,"about_ca_topic_score_gemma":0.031705573,"teacher_disagreement_score":0.026514402,"about_ca_system_score_codex":0.0030014222,"about_ca_system_score_gemma":0.0012365916,"threshold_uncertainty_score":0.05272019},"labels":[],"label_agreement":null},{"id":"W2294849999","doi":"","title":"Fitness Versus Fatness: Productivity, Financial Conditions, and the Survival of New Canadian Manufacturing Firms","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Lakehead University; Bank of Canada; Government of Canada","funders":"","keywords":"Leverage (statistics); Balance sheet; Business; Monetary economics; Debt; Asset turnover; Labour economics; Economics; Finance; Return on assets; Profitability index","score_opus":0.01853085636489665,"score_gpt":0.22187619949056211,"score_spread":0.20334534312566546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294849999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970477,0.0002909844,0.00003464638,0.0003563985,0.0000034069683,0.0000041044495,0.00055531005,0.0000030842687,0.0017043009],"genre_scores_gemma":[0.99872583,0.00013156892,0.000015855421,0.000020466883,0.000004115202,6.3826513e-7,0.0003909934,9.940211e-7,0.00070943695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968326,0.00001880521,0.000010095006,0.000035671932,0.00008554911,0.0001665453],"domain_scores_gemma":[0.99654716,0.00040776792,0.0010673983,0.00009927224,0.0006664496,0.0012120102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007079793,0.0002008645,0.00023053837,0.0013786199,0.0013153603,0.0018006251,0.0006078288,0.00039818557,0.0027510514],"category_scores_gemma":[0.0048323306,0.0000888273,0.00024099348,0.0014646769,0.00089000707,0.00051320944,0.0009078788,0.00063210644,0.00022228259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009068997,0.000030595565,0.9896473,0.000009040772,0.000024890844,0.000109787536,0.0006263534,0.00048421664,0.00019738851,0.0003607013,0.0007064805,0.007712534],"study_design_scores_gemma":[0.000002950529,0.000016905946,0.9977055,0.000010437694,0.000009257141,0.000027180628,0.00087727845,0.00044927857,0.000070441776,0.00010105563,0.0007218113,0.000007846265],"about_ca_topic_score_codex":0.91081136,"about_ca_topic_score_gemma":0.95481247,"teacher_disagreement_score":0.089188635,"about_ca_system_score_codex":0.007736402,"about_ca_system_score_gemma":0.0074632247,"threshold_uncertainty_score":0.17942774},"labels":[],"label_agreement":null},{"id":"W2298635628","doi":"","title":"La structure de marché dans l'industrie brassicole au Canada","year":2003,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.006746629474788324,"score_gpt":0.14664447169764583,"score_spread":0.1398978422228575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298635628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9079538,0.004538009,0.0024147793,0.0024548357,0.000041431256,0.000036469868,0.0046510147,0.00025952363,0.0776501],"genre_scores_gemma":[0.9474405,0.0011971309,0.0014413747,0.000048826405,0.000012366235,0.000013478272,0.000864565,0.00005285544,0.048928864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993955,0.000044950833,0.000018670939,0.00010851634,0.000219779,0.00021256642],"domain_scores_gemma":[0.9982864,0.0004269263,0.00021681757,0.00005493421,0.00067480106,0.00034005378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039174643,0.00029002063,0.0004414233,0.0038887819,0.0028934856,0.0045430334,0.00055251154,0.00057468703,0.012537705],"category_scores_gemma":[0.002204452,0.00038962447,0.0004421224,0.0051375,0.001373862,0.00060088275,0.0006569768,0.0010690861,0.0008902497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014326881,0.00016272241,0.4191665,0.00045286186,0.0003696241,0.0017504963,0.01937614,0.04058623,0.015748046,0.19026363,0.023792382,0.28689864],"study_design_scores_gemma":[0.00003312357,0.00003675383,0.89479303,0.00011126513,0.00003332461,0.00012985257,0.0035922446,0.005558805,0.0009249782,0.0030391521,0.09168559,0.00006176617],"about_ca_topic_score_codex":0.98370427,"about_ca_topic_score_gemma":0.99075013,"teacher_disagreement_score":0.04201182,"about_ca_system_score_codex":0.04201182,"about_ca_system_score_gemma":0.019987179,"threshold_uncertainty_score":0.3048185},"labels":[],"label_agreement":null},{"id":"W2299521245","doi":"","title":"Performance, Firm Size, and Management Problem Solving [*]","year":2000,"lang":"en","type":"article","venue":"Journal of Small Business Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":346,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Business; Work (physics); Quarter (Canadian coin); Small business; Marketing; Empirical research; Economics; Finance","score_opus":0.018895682792453603,"score_gpt":0.1848124290164485,"score_spread":0.1659167462239949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299521245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864755,0.0007655927,0.00016569944,0.0011645551,0.00003449005,0.000024242308,0.00032509927,0.000017957342,0.011026881],"genre_scores_gemma":[0.9977623,0.00025846015,0.00011525359,0.00011842821,0.000041522646,0.000015621012,0.0003804457,0.0000055375453,0.0013022869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990159,0.00027806812,0.00007927609,0.00008913506,0.00031743475,0.00022012548],"domain_scores_gemma":[0.9824363,0.005909998,0.0058060167,0.00059887517,0.0012111712,0.0040375856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018671936,0.00021783065,0.00018319933,0.0008668507,0.0006421743,0.0014808042,0.00061570364,0.0006775796,0.006259444],"category_scores_gemma":[0.012655722,0.000095715826,0.0002529397,0.0011955992,0.00085323554,0.0008429202,0.000925507,0.0010034723,0.0009202417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006132067,0.0004910501,0.9832708,0.000020766853,0.000053058397,0.00010291898,0.00031306292,0.0002923304,0.00012091978,0.0003154205,0.0014786114,0.013479624],"study_design_scores_gemma":[0.0000036697652,0.000090057714,0.9980259,0.00001352212,0.000008616201,0.000058643884,0.00032127992,0.00039348484,0.000036653215,0.00022409839,0.000819587,0.0000045416355],"about_ca_topic_score_codex":0.0088536795,"about_ca_topic_score_gemma":0.010826121,"teacher_disagreement_score":0.0088536795,"about_ca_system_score_codex":0.00063652114,"about_ca_system_score_gemma":0.0010846959,"threshold_uncertainty_score":0.020939946},"labels":[],"label_agreement":null},{"id":"W2299913284","doi":"10.1111/caje.12001","title":"Exposure to FDI and new plant survival: evidence in Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Indigenous; Upstream (networking); Foreign direct investment; Competition (biology); Downstream (manufacturing); Business; Manufacturing; International trade; International economics; Economics; Engineering; Marketing","score_opus":0.22570623535955117,"score_gpt":0.1749576877640394,"score_spread":0.050748547595511784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299913284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878014,0.002149082,0.00012925937,0.00085658726,0.000013537064,0.0000102655085,0.0035160678,0.000008982738,0.00551483],"genre_scores_gemma":[0.99635494,0.0012431776,0.00004186096,0.000053390107,0.000006268102,0.0000022673953,0.00091662013,0.0000021834085,0.0013791687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994493,0.000026292817,0.000018772755,0.00006982391,0.00019125851,0.0002444566],"domain_scores_gemma":[0.99343634,0.00090599636,0.0020706025,0.00015775532,0.0020924623,0.0013368883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005568975,0.00018294936,0.00033334774,0.0017777872,0.0015831828,0.0011760147,0.00080485217,0.0003577363,0.0037524088],"category_scores_gemma":[0.0030174057,0.0001391496,0.00034914055,0.0038555155,0.0010456467,0.00038994275,0.0008314336,0.0007749249,0.00014692808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009634671,0.000035711506,0.9852764,0.00008046999,0.00008295678,0.00022422463,0.0012591502,0.0006157932,0.00015830882,0.0005501651,0.0017287652,0.009891717],"study_design_scores_gemma":[0.0000047581348,0.000015874612,0.99568874,0.000055515637,0.000032165062,0.00004527853,0.001524649,0.000301794,0.000099166384,0.00007577689,0.0021450142,0.000011172999],"about_ca_topic_score_codex":0.9913707,"about_ca_topic_score_gemma":0.9954798,"teacher_disagreement_score":0.015226541,"about_ca_system_score_codex":0.015226541,"about_ca_system_score_gemma":0.01501687,"threshold_uncertainty_score":0.11047679},"labels":[],"label_agreement":null},{"id":"W2301427221","doi":"10.5539/ibr.v9n2p127","title":"Challenges and Opportunities for the Textile Industry in Ghana: A Study of the Adinkra Textile Sub-Sector","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Textile; Profitability index; Textile industry; Business; Private sector; Economic sector; Empirical research; Industrial organization; State (computer science); Marketing; Economy; Economics; Economic growth; Finance; Computer science","score_opus":0.3672241122470985,"score_gpt":0.3563062143846812,"score_spread":0.010917897862417314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301427221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933084,0.00062883814,0.000073497,0.0020144996,0.00001600996,0.00003207556,0.000023234228,0.0000014426026,0.0039020672],"genre_scores_gemma":[0.99377406,0.0016199661,0.00018402412,0.0005241159,0.000011301142,0.000029491212,0.00002246892,0.0000043282453,0.0038303095],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991628,0.00038698205,0.000027599484,0.000056374087,0.000057207104,0.00030910622],"domain_scores_gemma":[0.9985983,0.00046092918,0.00039390937,0.000026891541,0.00008561875,0.00043445555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011598179,0.00034540298,0.00033101754,0.0006380657,0.006368641,0.0036955539,0.0005822512,0.0013195863,0.0049052658],"category_scores_gemma":[0.0013643268,0.00047122606,0.00015883766,0.0018528026,0.0028689753,0.0024386053,0.0018905723,0.0014719849,0.0006842894],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006222172,0.0003329496,0.052511334,0.00041497903,0.000004023035,0.013134592,0.9103727,0.00008754974,0.0025613767,0.0033932142,0.0022497464,0.014875369],"study_design_scores_gemma":[0.000002402442,0.000044415377,0.016360579,0.00009437763,0.000001456485,0.00061971945,0.9739813,0.000033843127,0.00008233303,0.00014717985,0.008628871,0.0000034790933],"about_ca_topic_score_codex":0.019395383,"about_ca_topic_score_gemma":0.0550465,"teacher_disagreement_score":0.019395383,"about_ca_system_score_codex":0.004099063,"about_ca_system_score_gemma":0.004367569,"threshold_uncertainty_score":0.03856498},"labels":[],"label_agreement":null},{"id":"W2301650620","doi":"10.7202/702164ar","title":"Les effets sur l’emploi des échanges de produits manufacturés entre pays développés et pays en développement","year":2005,"lang":"en","type":"article","venue":"Études internationales","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Developing country; Economic growth","score_opus":0.060408653390467616,"score_gpt":0.2834275314748782,"score_spread":0.2230188780844106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301650620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397874,0.0012241687,0.00045727284,0.00074764265,0.00002007883,0.000009958861,0.00018883402,0.000010787379,0.0033625525],"genre_scores_gemma":[0.9945017,0.00064243126,0.00032739693,0.00015767332,0.00004201193,0.000014118812,0.00021973769,0.0000049930786,0.00408999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998429,0.0007546861,0.00006202673,0.00016723933,0.00025237986,0.0003347159],"domain_scores_gemma":[0.97307897,0.020206543,0.0037091672,0.0005547712,0.0010909305,0.0013595377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041244603,0.00028438724,0.00032409857,0.00066957984,0.00047583727,0.0015510168,0.00051986845,0.0010667482,0.007932873],"category_scores_gemma":[0.014203511,0.0001533552,0.00054679456,0.0005856808,0.00070361566,0.0012614976,0.000966794,0.0011878856,0.0009265195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005193576,0.0012157989,0.84794986,0.0002282621,0.0003289683,0.00092618575,0.001124449,0.014676414,0.004757406,0.0063928273,0.0014975754,0.115708664],"study_design_scores_gemma":[0.0001254848,0.0015980541,0.9738438,0.000083299485,0.00019465813,0.00028037938,0.0020272948,0.0050430233,0.0065501723,0.0031385985,0.007084117,0.000031139214],"about_ca_topic_score_codex":0.008694205,"about_ca_topic_score_gemma":0.007636668,"teacher_disagreement_score":0.008694205,"about_ca_system_score_codex":0.0014883137,"about_ca_system_score_gemma":0.0004376787,"threshold_uncertainty_score":0.026538074},"labels":[],"label_agreement":null},{"id":"W2305340761","doi":"10.2139/ssrn.2753566","title":"Firm Capabilities and Industry Structure","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Business; Industrial organization","score_opus":0.010625644326929484,"score_gpt":0.19601918786970815,"score_spread":0.18539354354277868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305340761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96507484,0.00056734274,0.001594941,0.00054007303,0.0000054555403,0.000010517534,0.0004669291,0.000020837711,0.03171919],"genre_scores_gemma":[0.9979808,0.000111565976,0.00010233135,0.000012064255,0.000008414966,0.000002271195,0.00011128883,0.000001823822,0.0016693874],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996711,0.00007594825,0.000019743571,0.00006139828,0.00006323139,0.000108494416],"domain_scores_gemma":[0.98673135,0.006832476,0.0036701495,0.0005487512,0.0005548265,0.0016624766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059945043,0.00018637425,0.00020536807,0.00220087,0.00034943677,0.0019182357,0.00023439738,0.0005103294,0.012639182],"category_scores_gemma":[0.006995851,0.00017705196,0.0002925302,0.0019407293,0.00075388676,0.0021819635,0.0012088664,0.0006175096,0.0012517316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001958992,0.00019322493,0.8547348,0.00006368352,0.00023113737,0.0005959091,0.0006297707,0.0137291085,0.0013312154,0.093268596,0.0018477346,0.03317895],"study_design_scores_gemma":[0.000036106176,0.00017991626,0.85806865,0.00008164916,0.000099305005,0.00064442714,0.0016702358,0.015260844,0.000692069,0.11836132,0.00487558,0.000029951172],"about_ca_topic_score_codex":0.0022758122,"about_ca_topic_score_gemma":0.004313981,"teacher_disagreement_score":0.012639182,"about_ca_system_score_codex":0.000487187,"about_ca_system_score_gemma":0.00040316302,"threshold_uncertainty_score":0.042282343},"labels":[],"label_agreement":null},{"id":"W2308945982","doi":"","title":"Taux d'echec des nouvelles entreprises canadiennes: nouvelles perspectives sur les entrees et les sorties","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.05026945306608047,"score_gpt":0.27215029972796306,"score_spread":0.2218808466618826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308945982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9469799,0.0132931,0.0015346104,0.0044442606,0.000052410123,0.000024914934,0.0012283337,0.000025186997,0.032417372],"genre_scores_gemma":[0.9920968,0.003623649,0.00034740532,0.0001481453,0.000026389722,0.000014647191,0.0002908427,0.000005705458,0.0034464446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852115,0.0003387232,0.000054211658,0.00032881927,0.00034484424,0.00041231103],"domain_scores_gemma":[0.99229866,0.0037457757,0.0016774839,0.00042327668,0.0012430014,0.000611766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016711608,0.00025650338,0.0004282527,0.0027542661,0.0011877154,0.0024175993,0.00068303157,0.0006139495,0.006904084],"category_scores_gemma":[0.008462159,0.00024299111,0.00052876206,0.0058555678,0.0014772402,0.0016443289,0.0013117766,0.0011082888,0.00036260026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009466223,0.0000377711,0.9081797,0.00022395067,0.0002835603,0.00028481596,0.025554333,0.0007073924,0.0004220687,0.022248177,0.0009376335,0.041025933],"study_design_scores_gemma":[0.0000034287405,0.00004255106,0.9593559,0.00021156175,0.000110396206,0.00023778998,0.018360676,0.0003713754,0.0003427057,0.004366205,0.016567394,0.0000300359],"about_ca_topic_score_codex":0.2557731,"about_ca_topic_score_gemma":0.29565388,"teacher_disagreement_score":0.74422693,"about_ca_system_score_codex":0.0029562889,"about_ca_system_score_gemma":0.0031980614,"threshold_uncertainty_score":0.50856864},"labels":[],"label_agreement":null},{"id":"W2309192087","doi":"","title":"A STUDY ON THE LACK OF SCALE WITHIN THE HEDGE FUND INDUSTRY IN CANADA","year":2015,"lang":"en","type":"dissertation","venue":"Research Explorer (The University of Manchester)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Financial services; Scale (ratio); Business; Hedge; Sustenance; Economies of scale; Finance; Marketing; Political science; Geography","score_opus":0.35212894798843203,"score_gpt":0.3352111307035735,"score_spread":0.016917817284858527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309192087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823299,0.0009781255,0.000093838215,0.003932466,0.000039641516,0.00007933359,0.0006337621,0.000007834381,0.011905171],"genre_scores_gemma":[0.99332035,0.0012031641,0.00015238789,0.00042048673,0.000011115384,0.000040340514,0.00028783322,0.000008648781,0.004555712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952192,0.00032691655,0.00015156908,0.00035633365,0.002344504,0.0016014437],"domain_scores_gemma":[0.99029386,0.0010313947,0.0013599778,0.00022724301,0.0042011403,0.0028863612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020368292,0.00034069997,0.00052769185,0.0037854756,0.018545887,0.0059132385,0.0020519365,0.0007925085,0.0057547004],"category_scores_gemma":[0.0059826663,0.0005667885,0.0004764221,0.008183245,0.0046088872,0.0015144697,0.0032777134,0.0020609647,0.00044266874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014387349,0.0003349425,0.62512946,0.0002940907,0.00005557195,0.0012376305,0.29866895,0.00021238804,0.0008803991,0.008736453,0.018269384,0.046036832],"study_design_scores_gemma":[0.0000058138075,0.00004442215,0.7214115,0.00017751094,0.000012108375,0.00008696457,0.2501906,0.00021189309,0.00019341998,0.00017609309,0.027439402,0.00005023264],"about_ca_topic_score_codex":0.9898164,"about_ca_topic_score_gemma":0.99440324,"teacher_disagreement_score":0.09213609,"about_ca_system_score_codex":0.09213609,"about_ca_system_score_gemma":0.099077314,"threshold_uncertainty_score":0.66849726},"labels":[],"label_agreement":null},{"id":"W2327773694","doi":"10.1097/01.hj.0000286424.83579.49","title":"CareCredit helps make hearing aids affordable","year":2005,"lang":"en","type":"article","venue":"The Hearing Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Pace; Health care; Business; Hearing aid; Finance; Product (mathematics); Medicine; Audiology; Economics","score_opus":0.06524394509483987,"score_gpt":0.24179133649230247,"score_spread":0.17654739139746262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327773694","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00446206,0.0073259827,0.0031596294,0.2030328,0.013987176,0.00047506377,0.0039274814,0.006578407,0.7570514],"genre_scores_gemma":[0.029918911,0.01322947,0.017183209,0.18943708,0.011084994,0.0010603442,0.0066579073,0.0030632652,0.7283649],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685127,0.0004539528,0.0001438409,0.00032793643,0.0017452328,0.0004778496],"domain_scores_gemma":[0.9888038,0.0024284897,0.0006654915,0.00092539226,0.0038222505,0.003354622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026312473,0.00087582064,0.0005184885,0.0014464697,0.0027976607,0.0054084463,0.0018113883,0.00473518,0.3820101],"category_scores_gemma":[0.029042352,0.00039268646,0.001153096,0.0011517071,0.00093464064,0.0048541133,0.0043030907,0.0044996226,0.15888669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012835276,0.000037637867,0.00024798836,0.000048549664,0.0000025555137,0.000052726806,0.00007380122,0.000005212835,0.000059008045,0.00095594086,0.9540703,0.044433467],"study_design_scores_gemma":[0.00002942484,0.000023812583,0.00062289275,0.00011120175,0.000006049974,0.00027275825,0.00014221511,0.000036691123,0.00009638386,0.0008465687,0.9978021,0.000009803179],"about_ca_topic_score_codex":0.00526053,"about_ca_topic_score_gemma":0.014724691,"teacher_disagreement_score":0.3820101,"about_ca_system_score_codex":0.0019457808,"about_ca_system_score_gemma":0.0049609737,"threshold_uncertainty_score":0.8814876},"labels":[],"label_agreement":null},{"id":"W2329586008","doi":"10.5465/ambpp.2008.33725185","title":"WHAT DOESN'T KILL YOU MAKES YOU STRONGER --DE NOVO ENTRY IN CLUSTERS.","year":2008,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Productivity; Cluster (spacecraft); Economic geography; Resource (disambiguation); Biological dispersal; Contradiction; Barriers to entry; Manufacturing sector; Economics; Industrial organization; Business; Labour economics; Biology; Economic growth; Ecology; Demography; Sociology; Computer science; Market structure","score_opus":0.033967512339544655,"score_gpt":0.2343637797103276,"score_spread":0.20039626737078295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329586008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766733,0.001020024,0.0016812405,0.0014428375,0.000042738222,0.00007144839,0.0022811168,0.000037156547,0.016750062],"genre_scores_gemma":[0.9923604,0.00029903505,0.00057546014,0.000096823576,0.000011142577,0.000018656567,0.00081737025,0.000008565239,0.0058125653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993267,0.000090878704,0.000027880087,0.000158795,0.00015367239,0.0002420912],"domain_scores_gemma":[0.99510574,0.00086317083,0.0018900188,0.00040326075,0.0005643364,0.0011734064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097490393,0.00020590294,0.00043379088,0.0015196465,0.002475233,0.0023588785,0.00065233017,0.00064380676,0.008569921],"category_scores_gemma":[0.0057067242,0.0001854654,0.0003532417,0.0018107917,0.0013458136,0.001736402,0.0016231486,0.00091044285,0.0009241492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003507509,0.00017290901,0.90150774,0.00019226549,0.00009795464,0.0010526577,0.005651986,0.0017639899,0.0015436691,0.014440562,0.00933488,0.06389066],"study_design_scores_gemma":[0.000026414198,0.000107364154,0.9571177,0.00008285199,0.000053127522,0.00039033132,0.007846455,0.0012555345,0.0008003634,0.006479137,0.025797483,0.000043228425],"about_ca_topic_score_codex":0.14234956,"about_ca_topic_score_gemma":0.34250793,"teacher_disagreement_score":0.14234956,"about_ca_system_score_codex":0.0028807498,"about_ca_system_score_gemma":0.0021576756,"threshold_uncertainty_score":0.28304195},"labels":[],"label_agreement":null},{"id":"W2335765891","doi":"10.1080/16522354.2008.11073459","title":"Business Capabilities of Small Entrepreneurial Media Firms: Independent Production of Children’s Television in Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Media Business Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Production (economics); Business; Competition (biology); Entertainment; Product (mathematics); Industrial organization; Marketing; Economics","score_opus":0.038793655645067926,"score_gpt":0.20537953215509877,"score_spread":0.16658587651003084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335765891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898287,0.00021196764,0.00007421127,0.00029030096,0.0000031573927,0.000031356034,0.00028861075,0.00000390968,0.009267686],"genre_scores_gemma":[0.9973693,0.00025520843,0.00010665762,0.00003615885,0.0000015291511,0.000006419898,0.00024867104,0.000002116977,0.001973858],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99873275,0.00006784017,0.000022492568,0.00010606995,0.00045204253,0.0006187463],"domain_scores_gemma":[0.9947866,0.0006566123,0.0008277725,0.00011579399,0.0014964492,0.0021167705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009212243,0.00034183593,0.0002946755,0.0034219106,0.0064011426,0.0035210522,0.0009074706,0.0004329291,0.002635231],"category_scores_gemma":[0.004087,0.00027034845,0.00027715467,0.003764235,0.0021560981,0.000977424,0.002243266,0.0008176301,0.00018685273],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035121143,0.00031723556,0.8680982,0.00012729937,0.00005982492,0.0017332694,0.05998792,0.0013842083,0.0015270106,0.00941834,0.005518448,0.05147708],"study_design_scores_gemma":[0.000018939103,0.000095252006,0.87793475,0.000081317885,0.00003725579,0.00019387502,0.10355416,0.0014527758,0.0006328083,0.0005601898,0.015384285,0.00005437429],"about_ca_topic_score_codex":0.9894322,"about_ca_topic_score_gemma":0.99576676,"teacher_disagreement_score":0.051003378,"about_ca_system_score_codex":0.051003378,"about_ca_system_score_gemma":0.05779391,"threshold_uncertainty_score":0.37005717},"labels":[],"label_agreement":null},{"id":"W2341103666","doi":"10.2139/ssrn.2557195","title":"Are Cross-Border Acquisitions Enemy of Labor? An Examination of Employment and Productivity Effects","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Productivity; Labour economics; Business; Adversary; Economics; Demographic economics; Economic growth; Computer security; Computer science","score_opus":0.020813417936849873,"score_gpt":0.2970202963607986,"score_spread":0.2762068784239487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341103666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947184,0.00079508196,0.00015463255,0.0007202585,0.0000123112695,0.0000055437813,0.00008322008,0.0000061986,0.0035044062],"genre_scores_gemma":[0.9980392,0.00028281502,0.000033710246,0.00007217201,0.000028007102,0.0000021062917,0.000063400985,0.000002465823,0.001476198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946505,0.00020365391,0.00002731955,0.00006614557,0.000051996645,0.00018593491],"domain_scores_gemma":[0.9863645,0.007778055,0.0027824775,0.0005590181,0.00054835004,0.001967614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540934,0.0002708523,0.0005779314,0.0008281711,0.0008473413,0.0021585247,0.0006013534,0.00096500537,0.013433576],"category_scores_gemma":[0.0065207477,0.00017840172,0.00048653546,0.0010453919,0.0009506363,0.0017534639,0.001712339,0.0010155598,0.0007638166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021004092,0.00077542133,0.95456135,0.00007635484,0.00032982728,0.0009176341,0.00079724326,0.0023911996,0.0017020097,0.008452332,0.00088458025,0.027011553],"study_design_scores_gemma":[0.00007769667,0.0006909534,0.983937,0.00006441195,0.00027461327,0.00016700673,0.0054673427,0.0024060886,0.0008017764,0.0040264437,0.002073459,0.000013339817],"about_ca_topic_score_codex":0.007853311,"about_ca_topic_score_gemma":0.008018861,"teacher_disagreement_score":0.013433576,"about_ca_system_score_codex":0.0005904076,"about_ca_system_score_gemma":0.0006104448,"threshold_uncertainty_score":0.044939816},"labels":[],"label_agreement":null},{"id":"W2343961932","doi":"10.1108/igdr-11-2015-0048","title":"The missing middle in developing countries revisited","year":2016,"lang":"en","type":"article","venue":"Indian Growth and Development Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bimodality; Developing country; Distribution (mathematics); Econometrics; Economics; Originality; Value (mathematics); Statistics; Mathematics; Economic growth; Sociology","score_opus":0.04163312089964482,"score_gpt":0.23089863980544365,"score_spread":0.18926551890579882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343961932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70051944,0.005622763,0.156145,0.014496782,0.0001584243,0.000114196475,0.0014141428,0.00024615496,0.12128316],"genre_scores_gemma":[0.9937674,0.0007832154,0.0018457345,0.00017515682,0.000020907235,0.000028354307,0.00005357026,0.000015704709,0.0033101162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995185,0.00015923253,0.00001528461,0.000110199064,0.000057388148,0.00013933814],"domain_scores_gemma":[0.99891615,0.0005053194,0.00023858016,0.00006827312,0.00009979647,0.00017184939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012705409,0.00026664333,0.0008716883,0.0012767713,0.0010005644,0.0033469128,0.000802428,0.0010852328,0.0062659257],"category_scores_gemma":[0.0030007001,0.00028046008,0.00078866864,0.0012556447,0.0021424775,0.0035484133,0.0017758682,0.0019568084,0.0005025091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012923185,0.00006948622,0.015473513,0.00012832243,0.000055499982,0.0012786953,0.0014853147,0.08284733,0.0005566619,0.87327075,0.0037026075,0.021002684],"study_design_scores_gemma":[0.00006999569,0.00009269323,0.01372257,0.00025823864,0.0000687428,0.0010130227,0.0026387016,0.2736494,0.00055034773,0.6824455,0.025414575,0.00007620863],"about_ca_topic_score_codex":0.012846061,"about_ca_topic_score_gemma":0.005223898,"teacher_disagreement_score":0.012846061,"about_ca_system_score_codex":0.0020923137,"about_ca_system_score_gemma":0.0011243584,"threshold_uncertainty_score":0.025542557},"labels":[],"label_agreement":null},{"id":"W2346761989","doi":"10.6000/1929-7092.2016.05.10","title":"An Exploration of Regional Labor Productivity Patterns of Manufacturing SMEs in Mexico","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economic geography; Business; Labour economics; Economics; Industrial organization; Economic growth","score_opus":0.08241518936661872,"score_gpt":0.28276521800415977,"score_spread":0.20035002863754103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346761989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984321,0.00029853245,0.000117903146,0.000061919,0.0000016245282,0.0000027858541,0.00035912695,0.0000022825927,0.0007236011],"genre_scores_gemma":[0.9986455,0.0003084516,0.0001490798,0.000009304948,0.000006488558,0.0000065740214,0.00056959596,0.000001292677,0.00030364547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.000017071905,0.0000067511905,0.00003281188,0.000011868919,0.000035692006],"domain_scores_gemma":[0.9995877,0.00008337319,0.00021098176,0.000017645685,0.00006674163,0.000033523043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028003415,0.00010027195,0.00016314005,0.0011200134,0.00021210851,0.00037769857,0.0001653602,0.00012901684,0.0011022215],"category_scores_gemma":[0.000651701,0.00006011824,0.00017879494,0.0013191648,0.000098030396,0.00020563512,0.00034761845,0.00011320944,0.00011108949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007156116,0.000021213538,0.9882527,0.000040292023,0.00003628235,0.00013598106,0.00090792245,0.00027904374,0.0006416742,0.0002814805,0.000325548,0.009006333],"study_design_scores_gemma":[0.0000011248825,0.0000122500405,0.9982717,0.00001052602,0.000008124946,0.000031962558,0.0008625654,0.00014940194,0.000055494707,0.000024692627,0.000571,0.0000011660862],"about_ca_topic_score_codex":0.020932065,"about_ca_topic_score_gemma":0.025773304,"teacher_disagreement_score":0.020932065,"about_ca_system_score_codex":0.00030535797,"about_ca_system_score_gemma":0.0002211358,"threshold_uncertainty_score":0.041620493},"labels":[],"label_agreement":null},{"id":"W2355965555","doi":"","title":"The increase speed of the industry slowed and the differentiation between companies aggravated——A review on the annual report of 2006 and the quarterly report in the first quarter of 2007 of listed paper companies","year":2007,"lang":"en","type":"article","venue":"China Pulp & Paper Industry","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Papermaking; Business; Annual report; Operations management; Engineering; Agricultural economics; Marketing; Economics; Finance; Pulp and paper industry; Geography","score_opus":0.020221455271344477,"score_gpt":0.23592652510687426,"score_spread":0.21570506983552978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355965555","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5374189,0.30294916,0.0066032163,0.028767044,0.0026848272,0.00019401952,0.0098933065,0.0003998704,0.111089736],"genre_scores_gemma":[0.7513748,0.20026274,0.0057712784,0.0039363545,0.0018416635,0.000058975733,0.0056953975,0.0000661414,0.030992672],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987446,0.00011100446,0.00019587668,0.00020059253,0.0006288435,0.000119047145],"domain_scores_gemma":[0.9943914,0.00065989,0.0018878373,0.00015525246,0.0026688208,0.00023674936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016345622,0.0002404539,0.00018396499,0.0038762528,0.0005371133,0.003169189,0.00035606723,0.0007074768,0.0023809173],"category_scores_gemma":[0.0028835807,0.00016240451,0.0003336708,0.0056590526,0.00062218396,0.002615552,0.000583934,0.0008123991,0.0008865163],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025287992,0.00009650782,0.24373876,0.0026361637,0.0001712796,0.00080527674,0.0015260859,0.0014934194,0.009284913,0.027478505,0.06489108,0.6476252],"study_design_scores_gemma":[0.0000065479967,0.00017074663,0.5101554,0.00070190686,0.00006127751,0.001067925,0.0017169886,0.00047937385,0.004911666,0.0020196335,0.47865486,0.000053618733],"about_ca_topic_score_codex":0.011342363,"about_ca_topic_score_gemma":0.014492787,"teacher_disagreement_score":0.011342363,"about_ca_system_score_codex":0.0020233393,"about_ca_system_score_gemma":0.0024499774,"threshold_uncertainty_score":0.022552729},"labels":[],"label_agreement":null},{"id":"W2368669487","doi":"","title":"L'analyse comparée des micro-entreprises franises et chinoises","year":2013,"lang":"fr","type":"article","venue":"Études françaises","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03184555143354626,"score_gpt":0.23690206077011933,"score_spread":0.20505650933657307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368669487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98676884,0.00089787034,0.00071976613,0.00021972487,0.000008623358,0.000020775167,0.00046521612,0.000009480411,0.010889698],"genre_scores_gemma":[0.9865753,0.00062298635,0.0004441144,0.000037885293,0.0000148673535,0.000027693242,0.00036954306,0.0000068110166,0.011900862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937767,0.00012263583,0.000023951228,0.00012467641,0.00016199886,0.00018910292],"domain_scores_gemma":[0.9972562,0.0012593213,0.00077821675,0.00014189581,0.00032078638,0.00024365935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012271999,0.00028747995,0.000500903,0.0023582075,0.0012044607,0.0024045852,0.00029210435,0.00045888318,0.012538295],"category_scores_gemma":[0.0031986819,0.0001294932,0.0004643206,0.0036630037,0.00078789116,0.0010718298,0.00084018335,0.00043132776,0.00084267725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037206642,0.00011357421,0.845471,0.00025528818,0.00048005808,0.0008951942,0.03175662,0.001551648,0.0028097357,0.027261972,0.0021777363,0.08685518],"study_design_scores_gemma":[0.000008890924,0.00010271272,0.95397574,0.00006418484,0.00011592152,0.00018934545,0.017105456,0.0016346432,0.0006556337,0.0016540255,0.024467144,0.000026236105],"about_ca_topic_score_codex":0.06768376,"about_ca_topic_score_gemma":0.09763982,"teacher_disagreement_score":0.06768376,"about_ca_system_score_codex":0.0019298686,"about_ca_system_score_gemma":0.0011827868,"threshold_uncertainty_score":0.1345796},"labels":[],"label_agreement":null},{"id":"W2375304464","doi":"","title":"Import Trade,R&D Spillovers,and the Change of Employment in China's Manufacturing","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Economics; Manufacturing; Product (mathematics); Panel data; Time lag; Technological change; Business; Labour economics; Lag","score_opus":0.084994549897701,"score_gpt":0.3215858029347116,"score_spread":0.23659125303701062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375304464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979291,0.0003326861,0.000105115105,0.0001097459,0.0000028864297,0.000003889012,0.00029119942,0.0000055692335,0.0012198363],"genre_scores_gemma":[0.9990095,0.000245849,0.000043724634,0.000013109376,0.0000055325727,0.0000022593397,0.00024792066,7.092601e-7,0.00043150783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977416,0.000025029867,0.000019362695,0.000042957854,0.000060518552,0.0000780333],"domain_scores_gemma":[0.9991379,0.00020028857,0.00039954492,0.000054717537,0.00010826522,0.00009915741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055322587,0.00018229551,0.00025468084,0.0013393213,0.00030177532,0.00059835304,0.00019540808,0.00022227813,0.0018586684],"category_scores_gemma":[0.0010966329,0.00012639344,0.00044482498,0.0014507745,0.00033574633,0.00047455428,0.00062547246,0.00027110937,0.00016826917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008376281,0.00004189592,0.97974247,0.0000489431,0.000088272005,0.00050314085,0.00031040912,0.004504541,0.0010491966,0.0009398294,0.00032642102,0.01236112],"study_design_scores_gemma":[0.000004333798,0.000028235023,0.996846,0.000009967948,0.00002415226,0.00003706479,0.00020485789,0.0017031073,0.00030631103,0.00014718872,0.00068486633,0.0000039018637],"about_ca_topic_score_codex":0.035190105,"about_ca_topic_score_gemma":0.053329665,"teacher_disagreement_score":0.035190105,"about_ca_system_score_codex":0.0010458749,"about_ca_system_score_gemma":0.00077994296,"threshold_uncertainty_score":0.06997055},"labels":[],"label_agreement":null},{"id":"W2406001529","doi":"10.1108/s1479-067x(2004)0000009007","title":"A Tale of One City: The Ottawa Technology Cluster","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Geography; Computer science; Operating system","score_opus":0.03089656699395334,"score_gpt":0.20144812168834586,"score_spread":0.1705515546943925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406001529","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41097504,0.017845621,0.0020884015,0.048282955,0.0013846655,0.00016764979,0.0016275642,0.00022146411,0.51740664],"genre_scores_gemma":[0.6142132,0.008318439,0.0013567646,0.0027426446,0.00012120351,0.000040719184,0.0005412109,0.00008915338,0.37257668],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996878,0.00003218961,0.000010033298,0.000050684317,0.000070695656,0.00014868633],"domain_scores_gemma":[0.9992873,0.000091732625,0.000071565344,0.000052452033,0.0001290713,0.00036779972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023584734,0.000287988,0.00018421335,0.0010040284,0.01616187,0.0057845255,0.0008902107,0.0010746466,0.017575566],"category_scores_gemma":[0.0005942774,0.0003062352,0.0002207206,0.0031245945,0.0040338817,0.0030947041,0.0030945644,0.0014658232,0.0016810803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028237785,0.00012817589,0.058900792,0.0007565425,0.00004894979,0.0067261984,0.13523816,0.0011225678,0.003504505,0.23512982,0.36576182,0.19240014],"study_design_scores_gemma":[0.000010005231,0.000049630933,0.043205507,0.00022200214,0.000033887405,0.0010753247,0.0772589,0.0001604242,0.0009111666,0.0038354485,0.8731494,0.00008839945],"about_ca_topic_score_codex":0.65744394,"about_ca_topic_score_gemma":0.9338619,"teacher_disagreement_score":0.98130554,"about_ca_system_score_codex":0.018694486,"about_ca_system_score_gemma":0.017728666,"threshold_uncertainty_score":0.6891469},"labels":[],"label_agreement":null},{"id":"W2407082212","doi":"10.5539/ibr.v9n7p98","title":"Do Innovation and Offshoring Make a Difference? An Empirical Exploration of the Effects on the Performance of European Firms","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Offshoring; Profitability index; Productivity; Propensity score matching; Matching (statistics); Business; Industrial organization; Selection bias; Selection (genetic algorithm); Affect (linguistics); Marketing; Economics; Outsourcing; Finance; Computer science","score_opus":0.15838700719871043,"score_gpt":0.3398621766630227,"score_spread":0.18147516946431227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407082212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942526,0.0010152106,0.00032425465,0.00038893087,0.0000134273105,0.000008030991,0.00031546512,0.000010112246,0.0036719642],"genre_scores_gemma":[0.99862266,0.00025019943,0.00006027477,0.000055061562,0.000021251924,0.0000033185793,0.00041194828,0.0000061573674,0.00056906114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701846,0.0011782208,0.00022328881,0.0005899383,0.00041870447,0.000571404],"domain_scores_gemma":[0.9749316,0.010596535,0.009861504,0.0017162148,0.00094713236,0.0019471071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036314395,0.00028126957,0.00057545875,0.0016199318,0.00037373503,0.0019723368,0.0005034786,0.0011457229,0.0039628064],"category_scores_gemma":[0.014517953,0.00009985355,0.0010447477,0.0030955474,0.0010996646,0.0017538748,0.0017785855,0.0008519718,0.0006375751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067577214,0.0003499985,0.94641125,0.00011406233,0.0003976628,0.00052167405,0.00062165904,0.002729722,0.00051304145,0.0040938645,0.0013470926,0.042224184],"study_design_scores_gemma":[0.000024096047,0.00018868374,0.9935069,0.00006997903,0.00015812366,0.000099970544,0.0009975126,0.0013028008,0.000443963,0.0009136631,0.0022803522,0.000014061497],"about_ca_topic_score_codex":0.005669723,"about_ca_topic_score_gemma":0.003382817,"teacher_disagreement_score":0.005669723,"about_ca_system_score_codex":0.000557215,"about_ca_system_score_gemma":0.00052501354,"threshold_uncertainty_score":0.019205153},"labels":[],"label_agreement":null},{"id":"W2407608070","doi":"10.1111/grow.12155","title":"Evolutionary Geography of a Mature Resource Sector: Shakeouts and Shakeins in British Columbia's Forest Industries 1980 to 2008","year":2016,"lang":"en","type":"article","venue":"Growth and Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Resource (disambiguation); Volatility (finance); Maturity (psychological); Geography; Population; Economy; Business; Economics; Political science; Demography; Sociology","score_opus":0.02405819596627781,"score_gpt":0.18144947747368306,"score_spread":0.15739128150740525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407608070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968369,0.00027030264,0.00006674394,0.00015949653,0.0000012666885,0.000006549848,0.00035847008,0.0000027929232,0.002297509],"genre_scores_gemma":[0.9977944,0.00015760929,0.000059436523,0.000018887204,7.892448e-7,0.0000025724848,0.00027929386,0.0000014581716,0.0016854905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998357,0.000016617014,0.000005918592,0.000029785977,0.000027222586,0.000084687104],"domain_scores_gemma":[0.99904865,0.000086313295,0.00017971985,0.000030849475,0.00042187393,0.0002326156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019495399,0.00010928628,0.00014593171,0.0020535463,0.0012429027,0.0014329985,0.0004452704,0.0002504555,0.0025145807],"category_scores_gemma":[0.0010002143,0.00012460451,0.00009452119,0.0029245217,0.0006714512,0.00036743365,0.00071879145,0.00036968954,0.0001708886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009837155,0.00004042411,0.95716155,0.000041738946,0.000031905332,0.00058010384,0.0051701996,0.0019217904,0.0012696162,0.0017286451,0.0015987362,0.030356873],"study_design_scores_gemma":[0.000001357144,0.0000053729404,0.9949992,0.000015244533,0.000002971028,0.000029483841,0.0031428426,0.00038140683,0.00005645771,0.000087119035,0.0012748856,0.0000037012471],"about_ca_topic_score_codex":0.9572013,"about_ca_topic_score_gemma":0.9865541,"teacher_disagreement_score":0.042798698,"about_ca_system_score_codex":0.010502889,"about_ca_system_score_gemma":0.0054321783,"threshold_uncertainty_score":0.08610141},"labels":[],"label_agreement":null},{"id":"W2413199867","doi":"10.1057/9780230595880_12","title":"Innovative Capabilities as Determinants of Export Performance and Behaviour: A Longitudinal Study of Manufacturing SMEs","year":2002,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business; Competition (biology); International trade; Small and medium-sized enterprises; International economics; Economics; Finance","score_opus":0.049202374674448074,"score_gpt":0.24082563945861915,"score_spread":0.19162326478417108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413199867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989184,0.00024444936,0.00006888977,0.00015131422,0.000006374407,0.000009694149,0.00022716385,0.0000018973462,0.00037181305],"genre_scores_gemma":[0.99790657,0.00031477862,0.00014034244,0.000100889934,0.000015525775,0.000031970405,0.0004473893,0.0000037441603,0.0010387813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995461,0.00017495212,0.00003150266,0.00006487957,0.00006766956,0.000114921255],"domain_scores_gemma":[0.99760616,0.00049763866,0.000658204,0.00016280725,0.0002882946,0.0007868007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018309165,0.00022529195,0.00031018257,0.0008398175,0.00091294205,0.0010482002,0.00047291396,0.0009739107,0.0021178226],"category_scores_gemma":[0.0035256408,0.00041983978,0.0006097078,0.0011678787,0.00037086126,0.0017293114,0.0011341128,0.001417701,0.00093735877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001308772,0.0006291054,0.99203604,0.000011730876,0.00005573814,0.00020903727,0.0030219944,0.000059710594,0.00017254286,0.00007654075,0.0003981308,0.0031984488],"study_design_scores_gemma":[0.000011027177,0.0005380358,0.99427265,0.000039498536,0.0000404112,0.0002202476,0.003430909,0.00035682836,0.00008533157,0.00012415161,0.000867739,0.000013177957],"about_ca_topic_score_codex":0.0077358563,"about_ca_topic_score_gemma":0.009675798,"teacher_disagreement_score":0.0077358563,"about_ca_system_score_codex":0.00034369886,"about_ca_system_score_gemma":0.0006060243,"threshold_uncertainty_score":0.015381634},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W2461437250","doi":"","title":"Évaluation du rendement de la formation au sein des entreprises [ressource électronique] : une comparaison entre le Québec et l'Ontario : rapport final","year":2009,"lang":"fr","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.1004926221372574,"score_gpt":0.27132380248585686,"score_spread":0.17083118034859945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461437250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8346941,0.0048850146,0.0029779447,0.0035113299,0.000082162696,0.0002355145,0.00537349,0.00008743814,0.148153],"genre_scores_gemma":[0.9321935,0.0027417073,0.0018922447,0.00018452993,0.000020414296,0.00006107378,0.0017221296,0.0000423262,0.061142012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776185,0.00020529557,0.000058381032,0.00014055056,0.0014906172,0.0003433119],"domain_scores_gemma":[0.9906843,0.0013195133,0.0006760915,0.0003091673,0.0066041797,0.00040676343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001991864,0.00035455803,0.00045007482,0.0034212617,0.0031315696,0.0038577742,0.00073186035,0.00058919814,0.00965898],"category_scores_gemma":[0.0043672496,0.0002190856,0.00047447442,0.0067924666,0.0010389799,0.001148907,0.0010543228,0.0004660286,0.0006610662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005251731,0.00018175406,0.63484144,0.0014255915,0.00031650232,0.0013822264,0.042661328,0.00755568,0.007962869,0.027291639,0.033369135,0.2424867],"study_design_scores_gemma":[0.00001244248,0.00009466521,0.88007426,0.00029989693,0.00010403267,0.00011990062,0.02370442,0.0017242702,0.0033948992,0.00075043127,0.08963806,0.0000827007],"about_ca_topic_score_codex":0.97392863,"about_ca_topic_score_gemma":0.99144286,"teacher_disagreement_score":0.9614322,"about_ca_system_score_codex":0.038567767,"about_ca_system_score_gemma":0.020843294,"threshold_uncertainty_score":0.27983004},"labels":[],"label_agreement":null},{"id":"W2468779706","doi":"10.5430/jbar.v5n2p8","title":"Open Innovation in Eastern Europe and Central Asia","year":2016,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Open innovation; Economic geography; Competitive advantage; Central asia; Economic system; Marketing; International trade; Economics","score_opus":0.18633233236317415,"score_gpt":0.36413634425547414,"score_spread":0.1778040118923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468779706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98792213,0.0017412001,0.0001313112,0.00020808188,0.000014746626,0.000009335139,0.0022685959,0.000014188375,0.007690449],"genre_scores_gemma":[0.99419385,0.00097339135,0.00016368378,0.00013458547,0.000019369414,0.000014834343,0.003312898,0.000004853163,0.0011825883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993787,0.000080672144,0.00007736368,0.0001498346,0.00011383758,0.00019953487],"domain_scores_gemma":[0.99574596,0.00064142066,0.0021457495,0.0002493022,0.000641025,0.0005765702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011216198,0.0002810645,0.00047248835,0.0033577606,0.00037918697,0.002365036,0.0002934677,0.0002504254,0.0022185622],"category_scores_gemma":[0.0019460149,0.00010794884,0.00040184404,0.0054673324,0.00039126072,0.0010184428,0.0017451764,0.00033410048,0.0002905841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018337493,0.00011573797,0.9562359,0.00017858192,0.000260821,0.0006921738,0.0020909933,0.0012888098,0.0007668406,0.0038532624,0.0029320407,0.03140152],"study_design_scores_gemma":[0.000010863468,0.000027735441,0.9910059,0.0000915098,0.000060494036,0.00014732324,0.0015729337,0.0003528305,0.0002849314,0.0002967121,0.0061401166,0.00000874433],"about_ca_topic_score_codex":0.019745165,"about_ca_topic_score_gemma":0.013111007,"teacher_disagreement_score":0.019745165,"about_ca_system_score_codex":0.000616501,"about_ca_system_score_gemma":0.0011249547,"threshold_uncertainty_score":0.039260507},"labels":[],"label_agreement":null},{"id":"W2469216153","doi":"10.1007/s00191-017-0549-x","title":"All grown up? The fate after 15 years of a quarter of a million UK firms born in 1998","year":2018,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Quarter (Canadian coin); Entrepreneurship; Demographic economics; Hazard ratio; Economics; Hazard; Labour economics; Medicine; History; Finance","score_opus":0.018830760392289356,"score_gpt":0.21337486289419025,"score_spread":0.1945441025019009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469216153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98592234,0.0020137117,0.00007746138,0.0040381597,0.00007231978,0.000006399828,0.0057801725,0.000007878765,0.002081551],"genre_scores_gemma":[0.98421997,0.002833911,0.000053360767,0.0005282887,0.00006885011,0.000015248436,0.0050803875,0.000007449646,0.0071926247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994879,0.000049869952,0.000048177444,0.0000904039,0.000104827755,0.00021878692],"domain_scores_gemma":[0.99710065,0.00026449232,0.0015831525,0.000119284734,0.0002729317,0.0006594956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006354722,0.00017021467,0.00032378634,0.00080902857,0.00074513303,0.0017441947,0.00043847485,0.0009161098,0.005136167],"category_scores_gemma":[0.0044127875,0.0002626687,0.00027900338,0.001538739,0.0004195075,0.0014924875,0.0012727894,0.0011736763,0.0014977882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023358766,0.000069200796,0.9364709,0.000100148754,0.000060301856,0.0010503544,0.005287998,0.00039703163,0.0002913143,0.0015981633,0.017751008,0.036689986],"study_design_scores_gemma":[0.000010464017,0.00007621454,0.98250455,0.00010202603,0.000020085978,0.000449004,0.004225318,0.000307031,0.00013725646,0.0004578155,0.011686828,0.000023386385],"about_ca_topic_score_codex":0.0903942,"about_ca_topic_score_gemma":0.08625395,"teacher_disagreement_score":0.0903942,"about_ca_system_score_codex":0.0013251525,"about_ca_system_score_gemma":0.00080701936,"threshold_uncertainty_score":0.17973608},"labels":[],"label_agreement":null},{"id":"W2471601219","doi":"10.3917/qdm.161.0011","title":"Prévision des mouvements d’employés par matrices actuarielles et réseaux de neurones artificiels : une application aux données bancaires en contexte canadien","year":2016,"lang":"fr","type":"article","venue":"Question(s) de management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.022759139896651414,"score_gpt":0.25559702639551996,"score_spread":0.23283788649886855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471601219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38849938,0.002862954,0.5992846,0.00095584866,0.00008374213,0.000098910896,0.0016348728,0.00060429674,0.0059754616],"genre_scores_gemma":[0.83618534,0.0010550848,0.15681547,0.00009150031,0.000026547857,0.00010384821,0.00079094805,0.00007014856,0.00486117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930894,0.00020889565,0.000043188295,0.00018040831,0.00019724538,0.000061189836],"domain_scores_gemma":[0.9959955,0.003127009,0.00018871835,0.00020834483,0.00042208846,0.000058313482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019197006,0.0005494823,0.000783637,0.0013550654,0.00041890907,0.0012458296,0.0009268302,0.0010145903,0.0031473748],"category_scores_gemma":[0.009298141,0.00031253955,0.0010343653,0.0015461103,0.0005901159,0.0009307593,0.0007060929,0.00091444515,0.00033476495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004110338,0.00008830345,0.036334187,0.0007047195,0.0003377773,0.00031228704,0.0014337517,0.6968918,0.014223299,0.018885685,0.001623261,0.22875383],"study_design_scores_gemma":[0.000026335898,0.000094537696,0.02476024,0.00011391488,0.00005800491,0.00013136906,0.0007086055,0.9445913,0.006125009,0.01763994,0.005650204,0.000100650395],"about_ca_topic_score_codex":0.089744456,"about_ca_topic_score_gemma":0.0751566,"teacher_disagreement_score":0.91025555,"about_ca_system_score_codex":0.0011403891,"about_ca_system_score_gemma":0.0011849462,"threshold_uncertainty_score":0.17844415},"labels":[],"label_agreement":null},{"id":"W2477293308","doi":"10.1017/cbo9780511510847.007","title":"Innovation and Research and Development in Small and Large Firms","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Statistics Canada","funders":"","keywords":"Business; Industrial organization","score_opus":0.09574391840690527,"score_gpt":0.2280463983929661,"score_spread":0.13230247998606082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477293308","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029460704,0.084070385,0.0034254172,0.013966733,0.00037538042,0.000044847035,0.00009138444,0.00003430572,0.86853075],"genre_scores_gemma":[0.6520035,0.060072374,0.004049501,0.0027496982,0.00081479945,0.00012751906,0.00015115674,0.000031299456,0.28000024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99925417,0.00022329598,0.000029630686,0.00014236027,0.0002298888,0.00012055568],"domain_scores_gemma":[0.99824405,0.0011541662,0.00013824103,0.00007223221,0.00016458415,0.00022672597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010518198,0.00026807538,0.0002962535,0.0015334032,0.0010750147,0.005242312,0.0002993605,0.001226535,0.0060419724],"category_scores_gemma":[0.001911742,0.00012447353,0.00018691563,0.0025441514,0.004884998,0.0031244622,0.0018212638,0.0014379094,0.0010100506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019690575,0.000031539268,0.0009407005,0.00007363064,0.000004024617,0.000089666304,0.0016622681,0.00034425242,0.00023724147,0.93948627,0.009677158,0.047433544],"study_design_scores_gemma":[0.000021139538,0.000039192826,0.006974179,0.0003572428,0.00000867134,0.0002066297,0.001621808,0.0008796443,0.00036749305,0.48851407,0.50099343,0.000016592343],"about_ca_topic_score_codex":0.0054692486,"about_ca_topic_score_gemma":0.0073868157,"teacher_disagreement_score":0.0060419724,"about_ca_system_score_codex":0.0051095313,"about_ca_system_score_gemma":0.0033255368,"threshold_uncertainty_score":0.03707242},"labels":[],"label_agreement":null},{"id":"W2483945748","doi":"","title":"The Industry Origins of Canada?s Weaker Labour Productivity Performance and the Role of Structural Adjustment in the 1990s and the 2000s","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Slowdown; Economics; Multifactor productivity; Decomposition; Labour economics; Macroeconomics; Total factor productivity; Economic growth","score_opus":0.01593200048894221,"score_gpt":0.24097046900057797,"score_spread":0.22503846851163575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483945748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953098,0.007858606,0.00085335894,0.03568648,0.00021903869,0.00006225415,0.007282691,0.0000895471,0.052638263],"genre_scores_gemma":[0.9843444,0.0029487384,0.000340956,0.00093077484,0.00007587282,0.000009951313,0.0015571336,0.000029764007,0.009762255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820316,0.000039524388,0.000047863115,0.00017109084,0.0006057835,0.0009325239],"domain_scores_gemma":[0.99512154,0.00028236958,0.000846709,0.00014449576,0.0023569486,0.0012479386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012951875,0.00048147712,0.000576833,0.004135863,0.0047375043,0.0037349942,0.0009601831,0.00085687544,0.0048871865],"category_scores_gemma":[0.005161425,0.00039206253,0.0005117096,0.008192279,0.0022369672,0.001213519,0.0018905723,0.0021482378,0.00042219082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010145215,0.00021406206,0.5773945,0.00064476795,0.00022465229,0.0015438668,0.024643835,0.004285298,0.005016695,0.13359956,0.04242885,0.20898928],"study_design_scores_gemma":[0.00002257876,0.000034024604,0.9417837,0.00022713667,0.000032269436,0.00007720054,0.0044838977,0.0010802952,0.0008486425,0.0030579974,0.04830229,0.00004985174],"about_ca_topic_score_codex":0.9930396,"about_ca_topic_score_gemma":0.99456245,"teacher_disagreement_score":0.06579169,"about_ca_system_score_codex":0.06579169,"about_ca_system_score_gemma":0.077816784,"threshold_uncertainty_score":0.47735435},"labels":[],"label_agreement":null},{"id":"W2488356686","doi":"10.5539/ijef.v8n8p95","title":"Finance and R&amp;D Investment: A Panel Study of Italian Manufacturing Firms","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Finance; Investment (military); Debt; Panel data; Economics; Corporate finance; Business; External financing; Monetary economics; R&D intensity; Econometrics","score_opus":0.049609005914734126,"score_gpt":0.23323697218876774,"score_spread":0.1836279662740336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488356686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948474,0.000557568,0.000105021405,0.0004874445,0.000004395843,0.000013654158,0.0018368291,0.000005688128,0.0021419716],"genre_scores_gemma":[0.9960542,0.0003398154,0.000058003203,0.0000719863,0.000020627984,0.000011303816,0.0025254574,0.0000025114812,0.0009162316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995322,0.00015244851,0.00002144744,0.00008566688,0.000052266027,0.00015588522],"domain_scores_gemma":[0.9974872,0.0006632284,0.0012114134,0.00017495158,0.00009513695,0.0003679956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000761615,0.00029181404,0.0003099981,0.0011137043,0.00028928937,0.0010758246,0.00030513474,0.0007454892,0.004005999],"category_scores_gemma":[0.0019225907,0.000214324,0.0005603237,0.0021406137,0.00020035685,0.00043900852,0.00073152466,0.00062028575,0.0010016913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012554352,0.00015331607,0.99255365,0.000016944934,0.000102759506,0.00021842976,0.00026024465,0.0008611205,0.00013036781,0.00020063139,0.001389397,0.0039875726],"study_design_scores_gemma":[0.0000072451453,0.000044125805,0.99750215,0.000010400723,0.000033597582,0.00008081553,0.00020992685,0.00085588417,0.00004096497,0.000043109718,0.0011665594,0.0000053471995],"about_ca_topic_score_codex":0.03576407,"about_ca_topic_score_gemma":0.040091645,"teacher_disagreement_score":0.03576407,"about_ca_system_score_codex":0.0009320594,"about_ca_system_score_gemma":0.0003957353,"threshold_uncertainty_score":0.0711118},"labels":[],"label_agreement":null},{"id":"W2494491611","doi":"","title":"Director of Research, Canadian Federation of Independent Business","year":2001,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Loan; Proxy (statistics); Business; Small business; The Internet; Variety (cybernetics); Accounting; Marketing; Finance; Computer science","score_opus":0.10589697117273515,"score_gpt":0.28472236946083934,"score_spread":0.17882539828810418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494491611","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015847156,0.01760586,0.0048763203,0.09564969,0.012706001,0.0010399077,0.16334927,0.0033722231,0.68555355],"genre_scores_gemma":[0.027411913,0.005800388,0.0034565446,0.0023334215,0.0005203904,0.00016985353,0.019405235,0.00032431853,0.940578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947454,0.00018561065,0.00013758519,0.0007422274,0.0030931304,0.0010961588],"domain_scores_gemma":[0.97306347,0.000855362,0.0007252782,0.0009841983,0.01657843,0.007793238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003928975,0.00088074896,0.0011790667,0.004583144,0.004474081,0.0039696973,0.0019221314,0.0015048985,0.21154152],"category_scores_gemma":[0.009867534,0.0005015461,0.00042223386,0.0057789753,0.00096755,0.0015327053,0.0011139595,0.0016282791,0.05948147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010775573,0.000032473425,0.0042620497,0.0001906699,0.000011161378,0.00013096367,0.00015974624,0.00015939379,0.00030978752,0.009211854,0.92284566,0.06257843],"study_design_scores_gemma":[0.000018741592,0.00001203362,0.009611266,0.000074623626,0.000009261584,0.000051231218,0.00017727447,0.0002534938,0.0002201647,0.0004973207,0.9890534,0.00002122],"about_ca_topic_score_codex":0.8633597,"about_ca_topic_score_gemma":0.91133875,"teacher_disagreement_score":0.8633597,"about_ca_system_score_codex":0.0288115,"about_ca_system_score_gemma":0.123906896,"threshold_uncertainty_score":0.7076769},"labels":[],"label_agreement":null},{"id":"W2495434427","doi":"10.22215/timreview/995","title":"Employment Dynamics of Australian Entrepreneurship: A Management Perspective","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Restructuring; Entrepreneurship; Perspective (graphical); Productivity; Creative destruction; Resizing; Industrial organization; Economics; Economic system; Business; Economic geography; Dynamics (music); Market economy; Economic growth; International trade; Sociology","score_opus":0.033810302616978094,"score_gpt":0.27034021497312233,"score_spread":0.23652991235614423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495434427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74079216,0.021264182,0.0031258648,0.01626371,0.00017878822,0.000046927693,0.00047204597,0.000021363558,0.21783493],"genre_scores_gemma":[0.9736916,0.0056527387,0.00032521415,0.00019180079,0.00007882915,0.00001666104,0.000046672358,0.000004917626,0.019991618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99975663,0.000056277986,0.000009343889,0.000022986787,0.000080504324,0.000074368036],"domain_scores_gemma":[0.99947935,0.00009877897,0.00011775025,0.000015039537,0.00016648576,0.00012269663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005541629,0.0001315408,0.00018334281,0.0017361739,0.0008852413,0.0019310694,0.0005262192,0.00048132183,0.010474042],"category_scores_gemma":[0.0014784702,0.000110490786,0.00015943812,0.0019318545,0.0007541336,0.0010781463,0.0012469966,0.0005621993,0.0006445226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016065828,0.00043546307,0.13034856,0.00078819244,0.00004189507,0.0021007094,0.026830181,0.010518802,0.0038053587,0.46636444,0.020726405,0.33787933],"study_design_scores_gemma":[0.000011154076,0.00023769993,0.65453833,0.00088566315,0.000025194155,0.00078147056,0.024894996,0.019982712,0.00063149614,0.110993974,0.18696702,0.00005026436],"about_ca_topic_score_codex":0.027017172,"about_ca_topic_score_gemma":0.036116447,"teacher_disagreement_score":0.027017172,"about_ca_system_score_codex":0.002488662,"about_ca_system_score_gemma":0.0019220683,"threshold_uncertainty_score":0.05371982},"labels":[],"label_agreement":null},{"id":"W2506361267","doi":"","title":"COMPARISON OF THE PROFITABILITY OF TOP 1000 FIRMS IN CANADA AND USA","year":2016,"lang":"en","type":"article","venue":"Scientific Bulletin – Economic Sciences","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Return on assets; Business; Return on equity; Sample (material); Variation (astronomy); Operating margin; Equity (law); Rate of return; Finance","score_opus":0.038486007877841684,"score_gpt":0.2437722174744614,"score_spread":0.20528620959661972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506361267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863645,0.0009331045,0.000117465905,0.00028416625,0.000010160558,0.000011451844,0.007975825,0.000028297214,0.004275122],"genre_scores_gemma":[0.98937315,0.00084058294,0.00013277559,0.00005712421,0.000008434842,0.0000044595486,0.007907318,0.000007673517,0.0016683764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992017,0.000029474433,0.000027222091,0.00008572549,0.00039502475,0.0002608628],"domain_scores_gemma":[0.9960896,0.00030716672,0.0005488954,0.00006814092,0.0021916225,0.0007945574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000500893,0.00024264428,0.0002727167,0.0038375293,0.0012240496,0.0016877346,0.00063800794,0.00032879732,0.0011907388],"category_scores_gemma":[0.0031201968,0.00014376866,0.00032398675,0.008138358,0.00036409494,0.000429946,0.0005174009,0.0004289528,0.00024042178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012711425,0.000037217305,0.9742649,0.000046579564,0.00010880541,0.00016539518,0.00049849274,0.0010749366,0.00040010695,0.0006946666,0.0054965382,0.017085284],"study_design_scores_gemma":[0.000001927534,0.0000075764697,0.996496,0.000009511364,0.00001547225,0.000037751757,0.00051037956,0.00048642527,0.00013164134,0.000022504757,0.0022722953,0.000008565188],"about_ca_topic_score_codex":0.98399144,"about_ca_topic_score_gemma":0.9920764,"teacher_disagreement_score":0.01723784,"about_ca_system_score_codex":0.01723784,"about_ca_system_score_gemma":0.012099319,"threshold_uncertainty_score":0.12506986},"labels":[],"label_agreement":null},{"id":"W2507618102","doi":"","title":"Innovation and productivity analysis with heterogeneous firms","year":2016,"lang":"en","type":"dissertation","venue":"OpenBU/Boston University Institutional Repository (Boston University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Business; Industrial organization; Economics; Macroeconomics","score_opus":0.01346437522910705,"score_gpt":0.18234280867304975,"score_spread":0.1688784334439427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507618102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92969674,0.0015902928,0.052567072,0.0014438096,0.00003998758,0.0000962452,0.0005017078,0.00007317774,0.013991008],"genre_scores_gemma":[0.9951538,0.00044109733,0.0014339774,0.000040317922,0.000059414437,0.000033299028,0.00017569633,0.0000052011646,0.0026571047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814856,0.0005055879,0.000076930075,0.00043563414,0.00033272945,0.0005005804],"domain_scores_gemma":[0.98440015,0.009981462,0.0031561735,0.0010339521,0.0007490474,0.0006793441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034141352,0.00042973208,0.0011080925,0.0027847956,0.0006609739,0.002585123,0.00090656313,0.0009913779,0.0037683053],"category_scores_gemma":[0.015088805,0.00028933323,0.0013376889,0.0025254295,0.001270781,0.0017404567,0.0017623829,0.00090887665,0.00034898898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030837633,0.00043640652,0.25112942,0.00018357408,0.0005661778,0.001262518,0.0010019972,0.41993254,0.0028701294,0.24723856,0.0024184845,0.0726518],"study_design_scores_gemma":[0.00012599748,0.00024665933,0.093799286,0.0000455616,0.0001858088,0.00018441805,0.0008657046,0.75299716,0.0011986615,0.14545274,0.004801791,0.00009630555],"about_ca_topic_score_codex":0.01204846,"about_ca_topic_score_gemma":0.0034711494,"teacher_disagreement_score":0.01204846,"about_ca_system_score_codex":0.00250104,"about_ca_system_score_gemma":0.0010892822,"threshold_uncertainty_score":0.023956656},"labels":[],"label_agreement":null},{"id":"W2509998837","doi":"","title":"Competences as drivers and enablers of globalization of innovation: Swedish ICT industry and emerging economies","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Enabling; Offshoring; Globalization; Information and Communications Technology; Business; Industrial organization; Economic geography; Outsourcing; Marketing; Economics; Market economy; Political science","score_opus":0.039662527225901856,"score_gpt":0.2885942091132114,"score_spread":0.24893168188730952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509998837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867981,0.00090747536,0.00036716613,0.00038715935,0.0000043875148,0.000006622322,0.000103333805,0.0000019783472,0.011423734],"genre_scores_gemma":[0.99934334,0.00035280458,0.00006436449,0.000011421191,0.0000025371796,0.00000246953,0.00005067845,6.7794633e-7,0.00017168693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887675,0.00035837165,0.00009710238,0.00012823676,0.000255464,0.00028417187],"domain_scores_gemma":[0.98987806,0.0058964402,0.002277997,0.0002544151,0.00081279705,0.00088016916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021355909,0.00023177767,0.00029270176,0.0039748573,0.0006035198,0.003547457,0.00021880359,0.00042620033,0.0021714238],"category_scores_gemma":[0.008446533,0.00013809057,0.0002824816,0.0032073245,0.001667653,0.0028530387,0.0030151012,0.0006534054,0.00012687658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010074559,0.00008285265,0.93071264,0.0002322107,0.000083117295,0.0006148947,0.013647124,0.0018034161,0.00029634533,0.025786003,0.00047307645,0.026167592],"study_design_scores_gemma":[0.000015983112,0.00006908831,0.93214864,0.0004219085,0.000069825146,0.00041254456,0.045183063,0.0015914827,0.0003047979,0.012705304,0.007047841,0.000029567886],"about_ca_topic_score_codex":0.012707671,"about_ca_topic_score_gemma":0.017460203,"teacher_disagreement_score":0.012707671,"about_ca_system_score_codex":0.0013692876,"about_ca_system_score_gemma":0.0018105764,"threshold_uncertainty_score":0.025267422},"labels":[],"label_agreement":null},{"id":"W2510921317","doi":"10.1787/5jlv23k891r8-en","title":"Boosting productivity through greater small business dynamism in Canada","year":2016,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dynamism; Boosting (machine learning); Productivity; Business; Economics; Artificial intelligence; Computer science; Economic growth","score_opus":0.034775149259812954,"score_gpt":0.19382058457697712,"score_spread":0.15904543531716417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510921317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72685057,0.005951003,0.0018550663,0.04160602,0.00037217347,0.0002591492,0.017737258,0.00040844007,0.2049603],"genre_scores_gemma":[0.9509441,0.0038468838,0.0012031501,0.0015729237,0.00006304103,0.00004301256,0.0040759593,0.00006445727,0.03818647],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99794406,0.00008604356,0.00004148124,0.00014186374,0.000781264,0.0010053273],"domain_scores_gemma":[0.9908915,0.000592847,0.00049924053,0.0001665398,0.004468986,0.0033809927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013829706,0.0003170484,0.00034469264,0.0026600575,0.004270156,0.004134504,0.0009428518,0.00047646594,0.007744452],"category_scores_gemma":[0.005800475,0.00018296838,0.00041795813,0.005097542,0.0012031754,0.0011246379,0.0021118582,0.0011814035,0.0006999162],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094706024,0.0005208029,0.30667615,0.0012413644,0.000201855,0.0018009491,0.015101678,0.0068331324,0.0043536113,0.08179002,0.25342387,0.3271095],"study_design_scores_gemma":[0.00012209588,0.00014814589,0.6326163,0.00048339067,0.0000980044,0.00018560546,0.012156599,0.004456947,0.0021057494,0.004431202,0.34306723,0.00012885052],"about_ca_topic_score_codex":0.994787,"about_ca_topic_score_gemma":0.99712497,"teacher_disagreement_score":0.11271903,"about_ca_system_score_codex":0.11271903,"about_ca_system_score_gemma":0.20438695,"threshold_uncertainty_score":0.8178376},"labels":[],"label_agreement":null},{"id":"W2511315264","doi":"10.1080/10438599.2016.1203084","title":"Does organizational innovation moderate technical innovation directly or indirectly?","year":2016,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Endogeneity; Context (archaeology); Productivity; Divergence (linguistics); Organizational performance; Industrial organization; Control (management); Organizational learning; Economics; Structural equation modeling; Knowledge management; Business; Econometrics; Marketing; Computer science; Management","score_opus":0.02790693255615296,"score_gpt":0.22952317740625264,"score_spread":0.20161624485009969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511315264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9566098,0.001966779,0.007057446,0.0020357326,0.00010158806,0.000062538384,0.00041687503,0.00006446077,0.03168476],"genre_scores_gemma":[0.996626,0.0004031899,0.0007863741,0.00023862868,0.000054871718,0.000028035944,0.000116339594,0.000015413027,0.0017311628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954129,0.0018768666,0.00027663406,0.00085298566,0.0006835439,0.00089714193],"domain_scores_gemma":[0.94642645,0.041514955,0.006073915,0.0025160257,0.0013169893,0.0021517258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045792363,0.00043931056,0.0008639593,0.0012761762,0.00055856246,0.0033028491,0.0005881616,0.0017713382,0.01131057],"category_scores_gemma":[0.022034349,0.00021667541,0.0018617572,0.0013120933,0.0016519671,0.0022389742,0.0021117418,0.0012365639,0.0009212901],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006455113,0.0007720624,0.9137853,0.00073352084,0.0015056456,0.00048126534,0.0016892537,0.005132124,0.0041299546,0.028895136,0.0011816582,0.041048612],"study_design_scores_gemma":[0.00007953217,0.0007836872,0.9392413,0.00035173123,0.0012983419,0.00023568129,0.002136905,0.0075233113,0.0030980047,0.03502799,0.010161315,0.00006236178],"about_ca_topic_score_codex":0.0033331031,"about_ca_topic_score_gemma":0.0033065293,"teacher_disagreement_score":0.01131057,"about_ca_system_score_codex":0.0011167311,"about_ca_system_score_gemma":0.0018417492,"threshold_uncertainty_score":0.037837625},"labels":[],"label_agreement":null},{"id":"W2512884723","doi":"10.2139/ssrn.2823543","title":"Does Organizational Form Drive Competition? Evidence from Coffee Retailing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Business; Competition (biology); Industrial organization","score_opus":0.019968242560169054,"score_gpt":0.22966997300644193,"score_spread":0.20970173044627288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512884723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943614,0.00038742073,0.00007336331,0.0003809316,0.00000843343,0.0000061507353,0.00012615442,0.0000021323824,0.0046539707],"genre_scores_gemma":[0.9989197,0.00014871954,0.00004315871,0.00007736813,0.000013545879,0.0000024444732,0.00014171765,0.0000030899798,0.00065019657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986314,0.0005340628,0.0000634207,0.00021908969,0.00024412498,0.00030776323],"domain_scores_gemma":[0.9588908,0.023861552,0.008668492,0.0028140242,0.0019243906,0.0038407475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021809693,0.00029555138,0.0005524199,0.0011288094,0.0012152022,0.0025724522,0.0010951912,0.001424751,0.011840651],"category_scores_gemma":[0.015855804,0.0003248986,0.00063158135,0.0018556515,0.0023171129,0.0014230473,0.0014562419,0.0008866468,0.00089164317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030962701,0.0011443164,0.9680429,0.00020321924,0.00043616278,0.00049099413,0.0027910504,0.00031619173,0.0016526005,0.003028693,0.0010488916,0.017748754],"study_design_scores_gemma":[0.000095547584,0.00030809478,0.9915946,0.000043445158,0.00018920319,0.00011537259,0.004165262,0.00022184041,0.00037430166,0.0013869846,0.001484522,0.000020839967],"about_ca_topic_score_codex":0.02694881,"about_ca_topic_score_gemma":0.034257542,"teacher_disagreement_score":0.02694881,"about_ca_system_score_codex":0.00061670784,"about_ca_system_score_gemma":0.00060956343,"threshold_uncertainty_score":0.05358392},"labels":[],"label_agreement":null},{"id":"W2513688966","doi":"10.11588/heidok.00005744","title":"Industrial Sickness in Indian Manufacturing","year":2005,"lang":"en","type":"dissertation","venue":"heiDOK (Heidelberg University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Subsidy; Deregulation; Industrial policy; Business; Public sector; Economic policy; Government (linguistics); Quarter (Canadian coin); Promotion (chess); Market economy; Economy; Engineering; Economics; Politics; International trade; Political science; Geography","score_opus":0.030700716621604972,"score_gpt":0.1939105698273136,"score_spread":0.16320985320570863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513688966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94090086,0.008511191,0.00035511862,0.009927529,0.00019462682,0.00007394178,0.0062121865,0.000045786226,0.033778746],"genre_scores_gemma":[0.9915502,0.003086827,0.000086869564,0.0006439006,0.00008311791,0.000020801072,0.0017644382,0.0000064599058,0.0027574492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999233,0.00011220553,0.000046788187,0.00008265354,0.00020828324,0.00031699514],"domain_scores_gemma":[0.9975624,0.0003616913,0.0013954325,0.00009002946,0.00016759768,0.0004229291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048026172,0.00013467956,0.00020131719,0.0022576207,0.0016373565,0.0014883754,0.0004275114,0.00044374415,0.008166338],"category_scores_gemma":[0.0018996068,0.00018185627,0.000377427,0.0058438326,0.0011205694,0.00063850003,0.002158575,0.0014334919,0.00064887584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015552476,0.00025425415,0.80430907,0.00088092807,0.000052393556,0.0015407308,0.03526867,0.000999067,0.00037788897,0.024810292,0.058559146,0.072791986],"study_design_scores_gemma":[0.0000069993885,0.000044090844,0.93644375,0.00023604056,0.00001570597,0.0003541321,0.022897001,0.00033241152,0.00007533826,0.0019984788,0.03757405,0.000022052875],"about_ca_topic_score_codex":0.069589965,"about_ca_topic_score_gemma":0.09121573,"teacher_disagreement_score":0.069589965,"about_ca_system_score_codex":0.0035675433,"about_ca_system_score_gemma":0.0021366868,"threshold_uncertainty_score":0.1383698},"labels":[],"label_agreement":null},{"id":"W2521703355","doi":"10.5539/ijef.v8n10p1","title":"Firm Growth and Technical Efficiency in Ethiopia: The Role of Firm Size and Finance","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Panel data; Cash flow; Econometrics; Frontier; Economics; Constraint (computer-aided design); Asset (computer security); Monetary economics; Finance; Statistics; Mathematics; Geography","score_opus":0.011793918423658198,"score_gpt":0.21503485972010103,"score_spread":0.20324094129644282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521703355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967746,0.00056308415,0.00016610333,0.00020986417,0.000004245863,0.0000043595023,0.00026394936,0.0000024031783,0.002011348],"genre_scores_gemma":[0.99922884,0.00021008235,0.000043723812,0.000014268008,0.0000068001405,0.0000013610181,0.00011604483,6.3300223e-7,0.00037836056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997358,0.000058457437,0.000015423435,0.00003974732,0.00004219427,0.00010848881],"domain_scores_gemma":[0.99668914,0.0013667302,0.001176047,0.00007544641,0.000270209,0.0004225059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006769003,0.00018325384,0.00019127002,0.0011501461,0.00024771964,0.0011598725,0.00030120503,0.00023793225,0.0018209317],"category_scores_gemma":[0.0016437107,0.00012897378,0.000224837,0.0012929001,0.00034527885,0.00070503325,0.0004978694,0.00042744252,0.00020258228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079294376,0.000108124055,0.9835669,0.00003704697,0.00005512071,0.00073280325,0.00031795856,0.0034042932,0.00034841613,0.0019966618,0.0006925871,0.008660812],"study_design_scores_gemma":[0.000007227953,0.000057678695,0.99025494,0.00004197187,0.0000424949,0.00018330636,0.0019212569,0.0043884665,0.00041925968,0.00077596446,0.0018962659,0.000011108972],"about_ca_topic_score_codex":0.012367441,"about_ca_topic_score_gemma":0.012101019,"teacher_disagreement_score":0.012367441,"about_ca_system_score_codex":0.0008781646,"about_ca_system_score_gemma":0.00053480297,"threshold_uncertainty_score":0.02459091},"labels":[],"label_agreement":null},{"id":"W2522479329","doi":"","title":"Essays in Multinational Firms and Productivity Growth of Domestically-Owned Firms","year":2014,"lang":"en","type":"article","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Business; Productivity; Industrial organization; Labour economics; Commerce; International trade; Economics; Finance; Economic growth","score_opus":0.00957336604692251,"score_gpt":0.18579075648522814,"score_spread":0.17621739043830562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522479329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80715525,0.04723849,0.00077844376,0.019376874,0.0004697617,0.000039556842,0.0041703964,0.00009009774,0.120681144],"genre_scores_gemma":[0.9663263,0.017412784,0.00022601685,0.00068355305,0.00023717647,0.0000107081905,0.0013737683,0.000010816246,0.01371879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949574,0.0000802217,0.00002802581,0.00008365031,0.00014928573,0.00016305187],"domain_scores_gemma":[0.99398214,0.0016557244,0.0022295075,0.00026650383,0.0012448835,0.0006211475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010005854,0.0002376695,0.0002397305,0.0023264505,0.00095667987,0.0022772462,0.00034420582,0.00041814765,0.0052010543],"category_scores_gemma":[0.006720194,0.00009092344,0.0003445814,0.0040828856,0.0010052157,0.0010402689,0.0007319368,0.0006274125,0.00051909825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083034116,0.00007354984,0.84770733,0.0003130107,0.00013112239,0.0005295841,0.004672679,0.001346914,0.000370895,0.028039882,0.035464026,0.08126813],"study_design_scores_gemma":[0.0000100878815,0.000025294457,0.93165237,0.00028828738,0.000047004207,0.00012556685,0.003851826,0.00045277347,0.00039056907,0.0020107352,0.061133817,0.000011638329],"about_ca_topic_score_codex":0.20883192,"about_ca_topic_score_gemma":0.17788565,"teacher_disagreement_score":0.20883192,"about_ca_system_score_codex":0.0051353704,"about_ca_system_score_gemma":0.0033157666,"threshold_uncertainty_score":0.41523272},"labels":[],"label_agreement":null},{"id":"W2523905261","doi":"10.2308/jiar-51604","title":"Linking Key Performance Indicators to New International Venture Survival","year":2016,"lang":"en","type":"article","venue":"Journal of International Accounting Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Survivability; Accounts receivable; Business; Sample (material); International joint venture; Bankruptcy; New Ventures; Finance; Productivity; Marketing; Industrial organization; Economics; Joint venture; Entrepreneurship; Commerce","score_opus":0.06408310696875377,"score_gpt":0.3248698418576379,"score_spread":0.26078673488888415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523905261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968797,0.00016125049,0.00043777865,0.0000619293,0.0000053799336,0.000013211892,0.00060055265,0.000016481526,0.0018237821],"genre_scores_gemma":[0.9991509,0.00005087578,0.000074029405,0.0000026339958,0.0000070360966,0.000003560854,0.0004902085,0.0000011673671,0.00021961002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996567,0.000071118244,0.00004957969,0.000042607004,0.00008267093,0.00009729365],"domain_scores_gemma":[0.9832131,0.0040943613,0.009159738,0.00038022725,0.0012568692,0.0018957367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010822838,0.00034285063,0.00019603173,0.003546495,0.00024293666,0.0011299315,0.0002725615,0.00024438842,0.0027347277],"category_scores_gemma":[0.008380616,0.000061127714,0.000239819,0.0020742973,0.00036783566,0.0007815556,0.00087540015,0.00044109288,0.0003609405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002807705,0.000040618233,0.9912537,0.0000141465725,0.00001657532,0.000050508093,0.000050142047,0.0012927729,0.00007399427,0.00023316851,0.00023777779,0.006708609],"study_design_scores_gemma":[0.000003261175,0.0000771182,0.9917732,0.000017038694,0.000015404148,0.00006535836,0.00030192564,0.0063812453,0.00027045942,0.00061963475,0.0004665803,0.000008845403],"about_ca_topic_score_codex":0.0020364677,"about_ca_topic_score_gemma":0.0017369541,"teacher_disagreement_score":0.003546495,"about_ca_system_score_codex":0.00040906723,"about_ca_system_score_gemma":0.00033166385,"threshold_uncertainty_score":0.009148538},"labels":[],"label_agreement":null},{"id":"W252447357","doi":"10.2139/ssrn.1940220","title":"On the Size Distribution of Financial Institutions","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Distribution (mathematics); Business; Financial system; Finance; Mathematics","score_opus":0.024051857057820862,"score_gpt":0.22424516426439084,"score_spread":0.20019330720656997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W252447357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92752975,0.0020665256,0.04373074,0.004965234,0.000060639934,0.000031426956,0.0009489378,0.00024249799,0.020424323],"genre_scores_gemma":[0.9947759,0.00081066584,0.001578028,0.00010603207,0.00021052093,0.000020684312,0.00044867033,0.00006864243,0.0019810125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982052,0.0008294258,0.00008335648,0.00033337375,0.00029627583,0.00025234543],"domain_scores_gemma":[0.85881,0.12318238,0.0067312405,0.004526268,0.004254889,0.0024951473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00613685,0.00031822035,0.0009259348,0.0039780354,0.00068134576,0.0025740932,0.001860132,0.0016091918,0.013075263],"category_scores_gemma":[0.06973668,0.0004892673,0.000727043,0.0023837765,0.0030935558,0.0056985347,0.0019395918,0.0017428626,0.0010372349],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090437866,0.00027379367,0.21006127,0.0002235388,0.00019608614,0.0007637754,0.001896942,0.08548193,0.0055855983,0.5857589,0.013265449,0.09558829],"study_design_scores_gemma":[0.00012675986,0.00019334948,0.14834923,0.00016948322,0.00010430701,0.00088370644,0.0013258468,0.41229507,0.0023822594,0.4297785,0.0042735194,0.00011800419],"about_ca_topic_score_codex":0.0026876926,"about_ca_topic_score_gemma":0.0018824332,"teacher_disagreement_score":0.013075263,"about_ca_system_score_codex":0.0012831814,"about_ca_system_score_gemma":0.000407263,"threshold_uncertainty_score":0.043741107},"labels":[],"label_agreement":null},{"id":"W2533392976","doi":"10.18374/jibe-16-3.6","title":"SUCH USEFUL TECHNOLOGIES, SO HARD TO ADOPT: INHIBITORS AND FACILITATORS OF ADOPTION OF ADVANCED MANUFACTURING TECHNOLOGIES IN SMES IN CANADA","year":2016,"lang":"en","type":"article","venue":"Journal of International Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Advanced manufacturing; Emerging technologies; Manufacturing; Marketing; Computer science","score_opus":0.012506952886867788,"score_gpt":0.19034026670873813,"score_spread":0.17783331382187034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533392976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997979,0.00020006656,0.000048570437,0.00025352725,0.0000017202315,0.0000078673675,0.00021433715,0.0000024708197,0.0012925019],"genre_scores_gemma":[0.9993148,0.000177005,0.000049449,0.000023505896,0.0000011398803,0.0000035671217,0.000083947125,8.370155e-7,0.00034572626],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9992719,0.00010974078,0.000037977665,0.00007980523,0.0002555624,0.00024495414],"domain_scores_gemma":[0.9914112,0.0025413544,0.0022132713,0.00014646097,0.0022713055,0.0014164024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090989174,0.00016055346,0.00020936003,0.0011708076,0.0013407941,0.0014091214,0.00050717226,0.00032550347,0.0016321113],"category_scores_gemma":[0.006021375,0.00012066598,0.000237474,0.0019880808,0.000657513,0.00036041476,0.00077871315,0.00045898813,0.000095825686],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004287917,0.000035695582,0.9906114,0.000034444587,0.000017870198,0.00011434663,0.002200291,0.00022836035,0.00037444057,0.00027304166,0.00033313397,0.0057342295],"study_design_scores_gemma":[0.0000024449962,0.000013142172,0.992446,0.00004206542,0.000011752424,0.000030074558,0.0058625266,0.0005115427,0.0001667629,0.000032157466,0.0008738568,0.0000076179685],"about_ca_topic_score_codex":0.9614876,"about_ca_topic_score_gemma":0.9826528,"teacher_disagreement_score":0.03851241,"about_ca_system_score_codex":0.008921632,"about_ca_system_score_gemma":0.01836809,"threshold_uncertainty_score":0.07747835},"labels":[],"label_agreement":null},{"id":"W2535772034","doi":"10.4018/978-1-5225-1040-6.ch013","title":"Collaboration, Innovation, and Funding as Survival Factors for Canadian Biotechnology SMEs","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in bioinformatics and biomedical engineering book series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Product (mathematics); Business; Position (finance); Production (economics); New product development; Hazard; Industrial organization; Intellectual property; Process (computing); Biotechnology; Accounting; Marketing; Finance; Economics; Political science; Biology","score_opus":0.01253203813729616,"score_gpt":0.21195799156195258,"score_spread":0.1994259534246564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535772034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94747734,0.009460231,0.0015319883,0.005580932,0.000055188113,0.000038719416,0.0018598114,0.00004380277,0.033951923],"genre_scores_gemma":[0.9921903,0.0023202698,0.00032594395,0.00009906187,0.000029269342,0.000012854736,0.000506657,0.000008661809,0.0045071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991358,0.000106796106,0.000031969576,0.0000573659,0.0003272361,0.0003409805],"domain_scores_gemma":[0.9907515,0.003491866,0.0020187015,0.0001530402,0.0019138956,0.0016709501],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0016655505,0.00023033141,0.00030134147,0.002439415,0.0021646824,0.0025505982,0.00051173475,0.000622114,0.0048135337],"category_scores_gemma":[0.012159209,0.00008652712,0.00055516715,0.0050266297,0.0011254809,0.0010851548,0.0012207831,0.0007959877,0.00027908798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016506239,0.00005660341,0.84344804,0.00019029318,0.000077922756,0.0006698493,0.006566496,0.0055121877,0.00029605025,0.025173835,0.010717195,0.10712643],"study_design_scores_gemma":[0.000015197371,0.00008723642,0.9426591,0.0003227569,0.00011651045,0.00038119624,0.011164217,0.0074299714,0.0002730628,0.009779786,0.02770716,0.00006383923],"about_ca_topic_score_codex":0.78963405,"about_ca_topic_score_gemma":0.8721264,"teacher_disagreement_score":0.99833447,"about_ca_system_score_codex":0.014788936,"about_ca_system_score_gemma":0.025430351,"threshold_uncertainty_score":0.42320967},"labels":[],"label_agreement":null},{"id":"W2537394713","doi":"10.4018/978-1-5225-1040-6.ch011","title":"What Influences the Growth of Canadian Biotechnology Firms?","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in bioinformatics and biomedical engineering book series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Commercialization; Business; Product (mathematics); New product development; Industrial organization; Biotechnology; Marketing; Biology","score_opus":0.008563517327846479,"score_gpt":0.18149327013905187,"score_spread":0.17292975281120537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537394713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58770156,0.027669534,0.0011037225,0.06640324,0.0004607597,0.00008558062,0.0150728375,0.00022975696,0.30127296],"genre_scores_gemma":[0.9657133,0.012188308,0.00043294232,0.001208499,0.00012446112,0.000015850945,0.0030386585,0.000050431976,0.01722759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971487,0.0001469973,0.000055273915,0.00019171898,0.0012401378,0.0012171876],"domain_scores_gemma":[0.99132514,0.0010037256,0.0011967375,0.00017530839,0.0043997476,0.0018993664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015811214,0.0004287834,0.00041179804,0.0046370365,0.0045864997,0.006206196,0.001099926,0.0008737031,0.007867278],"category_scores_gemma":[0.01169133,0.00022837445,0.00050092733,0.012364385,0.0017871838,0.0023937298,0.0014287947,0.0014682205,0.00092068024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026590718,0.00009634121,0.6058748,0.00044289193,0.00016260719,0.0010471237,0.008782099,0.0049645766,0.00083156757,0.07872159,0.11472252,0.18408793],"study_design_scores_gemma":[0.00002117215,0.00003320685,0.79655457,0.0003589342,0.00008416839,0.00024232555,0.012458965,0.0026737638,0.0005651806,0.0057684304,0.18113212,0.000107148764],"about_ca_topic_score_codex":0.9906144,"about_ca_topic_score_gemma":0.9928437,"teacher_disagreement_score":0.06841318,"about_ca_system_score_codex":0.06841318,"about_ca_system_score_gemma":0.080162905,"threshold_uncertainty_score":0.49637473},"labels":[],"label_agreement":null},{"id":"W2546423277","doi":"10.3390/su8111119","title":"Does Technology Transfer Help Small and Medium Companies? Empirical Evidence from Korea","year":2016,"lang":"en","type":"article","venue":"Sustainability","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Prosperity; Business; Productivity; Profit margin; Profit (economics); Industrial organization; Empirical evidence; Technology transfer; Empirical research; Frontier; Commerce; Marketing; Economics; Microeconomics; International trade","score_opus":0.04760550602914144,"score_gpt":0.2603381601077327,"score_spread":0.21273265407859127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546423277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99284923,0.0012356808,0.0002337903,0.0010782249,0.0000090847225,0.000011914011,0.00017839458,0.0000064808105,0.004397023],"genre_scores_gemma":[0.9989905,0.00040054345,0.000050888237,0.00011515547,0.00000886109,0.00000289114,0.00010804288,0.0000015091669,0.00032170702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924964,0.0001857281,0.00007364462,0.00014563292,0.0001301862,0.00021510838],"domain_scores_gemma":[0.98486763,0.0066814683,0.0057433634,0.0005577648,0.0008705207,0.0012791824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014715623,0.00026874125,0.00026619906,0.0012100425,0.0005724999,0.0011676741,0.000370595,0.00057459367,0.0043504094],"category_scores_gemma":[0.0060680876,0.00010498815,0.00051149726,0.0014102195,0.0009530435,0.0016742591,0.0014771445,0.0007806847,0.00037341917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047323972,0.00044055135,0.92494345,0.00044934606,0.00027265667,0.0017134012,0.0017298392,0.0022679481,0.00094847416,0.005258004,0.0024976102,0.059005424],"study_design_scores_gemma":[0.00005825579,0.00030672146,0.9799427,0.00017565774,0.00021920208,0.00039201288,0.0065818345,0.0017814978,0.0010358002,0.0022541923,0.0072303577,0.00002177296],"about_ca_topic_score_codex":0.005502582,"about_ca_topic_score_gemma":0.0074485526,"teacher_disagreement_score":0.005502582,"about_ca_system_score_codex":0.00072035973,"about_ca_system_score_gemma":0.00084061053,"threshold_uncertainty_score":0.0145536065},"labels":[],"label_agreement":null},{"id":"W2551625448","doi":"10.1016/j.jedc.2017.01.018","title":"Dynamics in research joint ventures and R&amp;D collaborations","year":2017,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Spillover effect; Economics; Microeconomics; Bertrand competition; Competition (biology); Order (exchange); Welfare; Marginal cost; Bertrand paradox (economics); Marginal product; Industrial organization; Production (economics); Product (mathematics); Joint venture; Cournot competition; Oligopoly; Commerce; Market economy","score_opus":0.08928030611515883,"score_gpt":0.31867140573727365,"score_spread":0.22939109962211482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551625448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9431727,0.0028373539,0.006270436,0.006120542,0.00005490009,0.00003905397,0.00086615275,0.00005697002,0.04058193],"genre_scores_gemma":[0.9959676,0.00036679642,0.00031602973,0.000060045702,0.000029638388,0.000014697147,0.00013658854,0.0000064067926,0.0031021747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741805,0.0010607069,0.00016584054,0.00039527382,0.0004167978,0.00054330257],"domain_scores_gemma":[0.94157684,0.037701674,0.009862408,0.0012708503,0.0028887205,0.006699466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003743597,0.000116871306,0.00048733447,0.0027034187,0.0011240665,0.006430198,0.00071582163,0.0018751696,0.009893962],"category_scores_gemma":[0.03769902,0.00030711788,0.00038826946,0.0029419272,0.0017802633,0.0051149325,0.002717596,0.0014841364,0.0011596157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084238715,0.0005393092,0.42977065,0.00016496639,0.0001957577,0.0007394218,0.007188106,0.01584509,0.0015755862,0.45597607,0.011646289,0.07551631],"study_design_scores_gemma":[0.00018189158,0.0002644458,0.44480652,0.00027394557,0.00012495884,0.0011621178,0.023645323,0.0685441,0.00093522365,0.4231674,0.036754973,0.00013919854],"about_ca_topic_score_codex":0.004825621,"about_ca_topic_score_gemma":0.004986349,"teacher_disagreement_score":0.009893962,"about_ca_system_score_codex":0.0016944314,"about_ca_system_score_gemma":0.0011651309,"threshold_uncertainty_score":0.03309858},"labels":[],"label_agreement":null},{"id":"W2552037778","doi":"10.1016/j.strueco.2016.11.003","title":"Age-productivity profiles of entrants and exits: evidence from Canadian manufacturing","year":2016,"lang":"en","type":"article","venue":"Structural Change and Economic Dynamics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada; Statistics Canada","funders":"","keywords":"Productivity; Economics; Labour economics; Demographic economics; Economic geography; Business; Macroeconomics","score_opus":0.05134954136075638,"score_gpt":0.22404457652661242,"score_spread":0.17269503516585605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552037778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961564,0.0007149137,0.00007915138,0.00014144144,0.0000036590993,0.000010914045,0.0014860212,0.0000044888393,0.001403002],"genre_scores_gemma":[0.99611014,0.00061475957,0.00006694706,0.000036937385,0.0000045942566,0.000004568823,0.0018074932,0.000003829584,0.0013507729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877006,0.00009691152,0.0000552623,0.00014731273,0.00033579182,0.0005946784],"domain_scores_gemma":[0.9906397,0.0013606668,0.0023634732,0.00031255814,0.0033856225,0.0019379148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017853829,0.00035760028,0.00045044802,0.003643862,0.0022832954,0.0017916986,0.0012588659,0.00094252656,0.0030745044],"category_scores_gemma":[0.0061657913,0.0003231853,0.00053417456,0.0065096947,0.00085811527,0.0009415156,0.0011021559,0.00079471635,0.00043875774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014403943,0.00005392003,0.98912966,0.000025068854,0.000048480637,0.0000851447,0.0027299465,0.00027515914,0.00016659427,0.00028976222,0.00084850483,0.006203684],"study_design_scores_gemma":[0.0000025438778,0.000011683472,0.997903,0.000010823154,0.000010633643,0.000011841797,0.001401339,0.00012564559,0.000030707582,0.000028349674,0.00045594043,0.0000074704867],"about_ca_topic_score_codex":0.9788239,"about_ca_topic_score_gemma":0.9910815,"teacher_disagreement_score":0.0211761,"about_ca_system_score_codex":0.011212501,"about_ca_system_score_gemma":0.011351404,"threshold_uncertainty_score":0.08135277},"labels":[],"label_agreement":null},{"id":"W2557255156","doi":"10.34989/swp-2016-44","title":"Financial Constraint and Productivity: Evidence from Canadian SMEs","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Bank of Canada","funders":"","keywords":"Constraint (computer-aided design); Productivity; Finance; Business; Measure (data warehouse); Econometrics; Economics; Computer science; Macroeconomics; Mathematics; Data mining","score_opus":0.03477863046092353,"score_gpt":0.22329515434218208,"score_spread":0.18851652388125856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557255156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811033,0.0014590698,0.0001865763,0.0012211796,0.000007029755,0.000015812879,0.0066662035,0.000009959703,0.009330894],"genre_scores_gemma":[0.9953768,0.0010014032,0.000092198396,0.000082978506,0.0000061626324,0.000007633793,0.00234964,0.0000050434355,0.0010780236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986186,0.0001056902,0.00008441269,0.00016647141,0.00060511846,0.0004197626],"domain_scores_gemma":[0.9826004,0.0032099944,0.0051872167,0.0007369059,0.0059507927,0.0023146833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016395538,0.00029082719,0.00047072722,0.0031310888,0.0020380614,0.0019292716,0.00093870796,0.00050300633,0.0044138185],"category_scores_gemma":[0.015231582,0.00020656936,0.00040092051,0.011375658,0.001138219,0.00066226244,0.0013387353,0.00059529213,0.0003552914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110166155,0.000038038146,0.9809341,0.00013806722,0.00008379561,0.00022678473,0.0022973039,0.00045273197,0.00016515345,0.0012998827,0.0030308238,0.011223106],"study_design_scores_gemma":[0.0000051638253,0.000009552458,0.995152,0.00006844368,0.000024758108,0.000039625043,0.0016320145,0.00034508042,0.00008284813,0.00011762893,0.0025075418,0.000015346146],"about_ca_topic_score_codex":0.98741233,"about_ca_topic_score_gemma":0.99274457,"teacher_disagreement_score":0.014584731,"about_ca_system_score_codex":0.014584731,"about_ca_system_score_gemma":0.017811136,"threshold_uncertainty_score":0.10582018},"labels":[],"label_agreement":null},{"id":"W2559406220","doi":"10.1007/978-3-319-43434-6_51","title":"Weathering the Storm: Financial Variable as a Key Influence to Entrepreneurial Venture Survival Over Time in Canada","year":2016,"lang":"en","type":"book-chapter","venue":"Springer proceedings in business and economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Business; Finance; Retained earnings; Venture capital; Disadvantaged; Earnings; Variable (mathematics); Equity (law); Causation; Economics; Economic growth; Dividend","score_opus":0.008645583080224823,"score_gpt":0.16160455099921994,"score_spread":0.15295896791899513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559406220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602628,0.007067677,0.0002858995,0.010009945,0.00015732837,0.000026513737,0.003994927,0.000021962325,0.018172987],"genre_scores_gemma":[0.98706263,0.0032788378,0.000121266334,0.00027163446,0.000045749443,0.000006347621,0.00095532706,0.00001696762,0.008241335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993131,0.000042197793,0.000030064564,0.00005947467,0.00018520077,0.00036994775],"domain_scores_gemma":[0.9951637,0.00061871245,0.0007134163,0.00008927166,0.0017329952,0.0016818284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081542664,0.00020310639,0.00038515858,0.001244138,0.0036097532,0.003418106,0.0010881667,0.0009173458,0.00575958],"category_scores_gemma":[0.0050897053,0.00018597131,0.0004791574,0.004254407,0.0014085968,0.0008093224,0.0014182682,0.0016082765,0.0002684621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018844362,0.00007275604,0.9264449,0.00008125926,0.00013771087,0.0004628596,0.0069199433,0.0012513017,0.00018035996,0.006428894,0.022037495,0.035794232],"study_design_scores_gemma":[0.000012617733,0.000020331261,0.9628576,0.0001577401,0.000083993364,0.000091546586,0.016632378,0.0012080284,0.00013550199,0.0010035892,0.017745696,0.000050993305],"about_ca_topic_score_codex":0.9973507,"about_ca_topic_score_gemma":0.9988028,"teacher_disagreement_score":0.02763179,"about_ca_system_score_codex":0.02763179,"about_ca_system_score_gemma":0.08400993,"threshold_uncertainty_score":0.20048362},"labels":[],"label_agreement":null},{"id":"W2561880764","doi":"10.2139/ssrn.2864895","title":"Demystifying the Global Supply Chain - A Smiling Curve Perspective","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Perspective (graphical); Supply chain; Business; Economics; Computer science; Marketing; Artificial intelligence","score_opus":0.0183453418860783,"score_gpt":0.23531294396024852,"score_spread":0.2169676020741702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561880764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14893433,0.0051988354,0.44630978,0.03588535,0.0009477734,0.00012890171,0.0012606211,0.00085226743,0.36048225],"genre_scores_gemma":[0.91698015,0.0064642136,0.043230604,0.0008622469,0.0006339988,0.000066303626,0.000317767,0.00041087763,0.031033868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937975,0.00020065639,0.000028530541,0.00011796588,0.00014400909,0.00012907267],"domain_scores_gemma":[0.99728394,0.0007065626,0.00036668064,0.00074946653,0.0005843591,0.0003090409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013862659,0.0008157515,0.00074289925,0.0030209308,0.0015487818,0.008645114,0.0015791203,0.0029863336,0.02067976],"category_scores_gemma":[0.0071537807,0.00035265152,0.0010257092,0.0051037567,0.0054031755,0.01795172,0.0040092096,0.0033320216,0.0022300326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028756362,0.000011259176,0.00075944635,0.000059410202,0.000011875944,0.00008593042,0.00044554166,0.012293684,0.00028182648,0.96349007,0.0015221076,0.021010064],"study_design_scores_gemma":[0.000003519474,0.000019187262,0.0004068884,0.000057710175,0.0000057142065,0.000052851377,0.00044495985,0.012483613,0.00012695191,0.96935576,0.017032655,0.000010322688],"about_ca_topic_score_codex":0.0062029557,"about_ca_topic_score_gemma":0.0041714683,"teacher_disagreement_score":0.02067976,"about_ca_system_score_codex":0.0031099352,"about_ca_system_score_gemma":0.0024796724,"threshold_uncertainty_score":0.06918073},"labels":[],"label_agreement":null},{"id":"W2563445233","doi":"","title":"Agbiz/IDC Agribusiness Confidence Index remains low : agribusiness update","year":2016,"lang":"en","type":"article","venue":"FarmBiz","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agribusiness; Index (typography); Quarter (Canadian coin); Consumer confidence index; Geography; Business; Computer science; Marketing; Agriculture","score_opus":0.018499245313427094,"score_gpt":0.19929558987175178,"score_spread":0.1807963445583247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563445233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44872984,0.043547343,0.010161788,0.15783417,0.009022864,0.00028578832,0.18193129,0.001955023,0.14653194],"genre_scores_gemma":[0.8748671,0.009939707,0.0074904053,0.0057867654,0.0019530323,0.00016361306,0.08151982,0.00032334644,0.01795624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977969,0.0001838424,0.0002542669,0.00019988208,0.0012497725,0.00031529437],"domain_scores_gemma":[0.9698999,0.0032158263,0.0051418915,0.0011316309,0.01884783,0.0017629109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004837192,0.00039443292,0.0005285476,0.0037451428,0.00038689937,0.0035601081,0.0010699873,0.00084961916,0.003729574],"category_scores_gemma":[0.0261495,0.00019138475,0.00036006258,0.0060418895,0.0004604538,0.0019277326,0.0013611893,0.001798589,0.0022199568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005196112,0.00015841186,0.3380125,0.0007277726,0.00015617366,0.00028706685,0.0004480689,0.0012406143,0.0009864743,0.00763724,0.39041433,0.25941172],"study_design_scores_gemma":[0.000027986127,0.0001097456,0.58774203,0.0006214915,0.00008331141,0.00027971852,0.00077244255,0.0021881384,0.0015381754,0.0016469259,0.40492383,0.00006622866],"about_ca_topic_score_codex":0.069365636,"about_ca_topic_score_gemma":0.036952574,"teacher_disagreement_score":0.069365636,"about_ca_system_score_codex":0.0033545531,"about_ca_system_score_gemma":0.0026837194,"threshold_uncertainty_score":0.13792372},"labels":[],"label_agreement":null},{"id":"W2565270770","doi":"10.5267/j.msl.2016.12.004","title":"Estimating growth of SMES using a logit model: Evidence from manufacturing companies in Italy","year":2016,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logit; Business; Logistic regression; Econometrics; Industrial organization; Sample (material); Statistics; Marketing; Economics; Mathematics","score_opus":0.06934744015536759,"score_gpt":0.25117998036756767,"score_spread":0.18183254021220008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565270770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373204,0.00035955507,0.0040372964,0.00036822172,0.0000066615644,0.000014984989,0.00019668367,0.000037570866,0.0012470308],"genre_scores_gemma":[0.9982835,0.00015316115,0.00080971257,0.000024221945,0.000009401433,0.000007973394,0.00034275712,0.0000054895268,0.00036384756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987796,0.0008600747,0.000043036678,0.00012250939,0.00009174759,0.000103063445],"domain_scores_gemma":[0.9843582,0.013146132,0.0012994938,0.00044473572,0.0005203858,0.00023104006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037099996,0.0004015419,0.00036201964,0.0011923448,0.00022505148,0.0007825088,0.0004644793,0.0005331524,0.0016007563],"category_scores_gemma":[0.012399353,0.0001597327,0.00061422517,0.0014393972,0.0004392239,0.0008746443,0.0007273434,0.0006451338,0.00035202224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003668368,0.00026115455,0.9314712,0.00010885202,0.0001608988,0.0007301181,0.0005694332,0.040018093,0.00021244191,0.001994192,0.0012130867,0.022893665],"study_design_scores_gemma":[0.00008229417,0.0005348826,0.60670036,0.00010645433,0.00019450898,0.0006036037,0.002527033,0.37998527,0.0006387247,0.005794806,0.0027705359,0.0000615181],"about_ca_topic_score_codex":0.013854688,"about_ca_topic_score_gemma":0.009485529,"teacher_disagreement_score":0.013854688,"about_ca_system_score_codex":0.00047146302,"about_ca_system_score_gemma":0.00032341396,"threshold_uncertainty_score":0.027548075},"labels":[],"label_agreement":null},{"id":"W2565989904","doi":"10.1007/s10436-016-0290-8","title":"Threat of termination and firm innovation","year":2016,"lang":"en","type":"article","venue":"Annals of Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"High tech; Ex-ante; Business; Relation (database); Value (mathematics); Industrial organization; Face (sociological concept); Economics","score_opus":0.09509084285148728,"score_gpt":0.279970351403158,"score_spread":0.18487950855167073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565989904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92652375,0.002742705,0.003638815,0.02283194,0.00019118264,0.00003408662,0.00047549765,0.000052011488,0.043510012],"genre_scores_gemma":[0.9976999,0.0003009183,0.00007087095,0.00019756527,0.00018156307,0.0000043550353,0.000042700292,0.0000034823836,0.0014985956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970638,0.0012346178,0.00020413903,0.00024359422,0.0004866254,0.00076723564],"domain_scores_gemma":[0.8476843,0.10660235,0.029971184,0.0030706387,0.0036797868,0.008991682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006968252,0.00015380829,0.0006666391,0.0011630306,0.0011282847,0.005416776,0.0006697081,0.0043817274,0.009668289],"category_scores_gemma":[0.059500303,0.00017680952,0.00057834195,0.0010021758,0.0028554993,0.0030519105,0.0017670786,0.0055633155,0.00046254028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030410362,0.0013344017,0.5622791,0.00025488107,0.0003091759,0.0022181724,0.0019499899,0.020307776,0.0014735637,0.3264978,0.012861357,0.06747268],"study_design_scores_gemma":[0.0002755976,0.0009783412,0.30802193,0.00015654227,0.0002840592,0.0013776529,0.0034682842,0.040524963,0.00094205525,0.62549806,0.018321192,0.00015124043],"about_ca_topic_score_codex":0.001959921,"about_ca_topic_score_gemma":0.0021064307,"teacher_disagreement_score":0.009668289,"about_ca_system_score_codex":0.0014952346,"about_ca_system_score_gemma":0.0014189719,"threshold_uncertainty_score":0.03685206},"labels":[],"label_agreement":null},{"id":"W2570256981","doi":"10.1287/mnsc.1060.0648","title":"When Do Employees Become Entrepreneurs?","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Business; Task (project management); Entrepreneurship; Venture capital; Industrial organization; Intellectual property; Marketing; Microeconomics; Finance; Economics; Management","score_opus":0.027221466396512427,"score_gpt":0.2369242950829544,"score_spread":0.20970282868644197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570256981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91606313,0.0028854369,0.0021459796,0.027049348,0.0002631252,0.000021998176,0.0001713675,0.000023427927,0.05137626],"genre_scores_gemma":[0.992841,0.0008723524,0.00021959891,0.0009969288,0.00009418333,0.000010412977,0.000030890584,0.000004970433,0.0049296306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937904,0.0001644112,0.000024200703,0.000101297366,0.00006951776,0.00026146983],"domain_scores_gemma":[0.9949262,0.002162163,0.0011959345,0.00014738576,0.00030149444,0.0012667946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010534077,0.000076084696,0.00019326476,0.0005215605,0.00075143384,0.0025574337,0.00031000405,0.0013744204,0.0077449135],"category_scores_gemma":[0.008067305,0.00018890892,0.000119066266,0.00030633944,0.0011098234,0.0035976993,0.00075955625,0.0010390689,0.0012964167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046875785,0.00055043923,0.535645,0.00021512424,0.000061268845,0.0034994169,0.017318008,0.0011720392,0.001220122,0.13351052,0.022487529,0.28385168],"study_design_scores_gemma":[0.00011070389,0.00038221173,0.2805881,0.0008627357,0.00009372711,0.0054678754,0.12998784,0.004159252,0.0026770434,0.39245978,0.18309227,0.00011844274],"about_ca_topic_score_codex":0.0010077836,"about_ca_topic_score_gemma":0.0012713997,"teacher_disagreement_score":0.0077449135,"about_ca_system_score_codex":0.00054710184,"about_ca_system_score_gemma":0.0005534437,"threshold_uncertainty_score":0.025909305},"labels":[],"label_agreement":null},{"id":"W2570325716","doi":"","title":"Understanding the Common Causes of Small Business Failures: A Qualitative Study","year":2011,"lang":"en","type":"article","venue":"The Journal of Applied Management and Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Small business; Marketing; Variety (cybernetics); Business; Order (exchange); Product (mathematics); Value (mathematics); Economics; Finance","score_opus":0.21354792302027029,"score_gpt":0.26324225619983493,"score_spread":0.04969433317956465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570325716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733396,0.001556755,0.0035935377,0.010971749,0.00013672798,0.0008028006,0.00036632342,0.000035948055,0.009196504],"genre_scores_gemma":[0.99213773,0.0013407153,0.0012497116,0.0018893844,0.000019799876,0.0006766113,0.000110559304,0.000034723962,0.0025407912],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98228145,0.012099863,0.00060092995,0.00093659566,0.00164657,0.0024345766],"domain_scores_gemma":[0.95943105,0.027757883,0.0035717809,0.0007907982,0.0041270903,0.0043214518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02637244,0.00072553963,0.0015494667,0.0037965328,0.0146055855,0.007449835,0.0039445222,0.0034332613,0.0073712245],"category_scores_gemma":[0.041536313,0.0011450032,0.000758309,0.0032110647,0.014139872,0.01080757,0.009833523,0.005950646,0.0007483613],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018492532,0.000054999033,0.0030756996,0.00024672117,0.0000037022612,0.0004982636,0.991418,0.000032954747,0.00015258479,0.001685681,0.00068167126,0.0021311727],"study_design_scores_gemma":[0.0000021756628,0.000015300819,0.0005548692,0.0001962487,0.0000016512139,0.00007679832,0.9961606,0.000055193716,0.000030464327,0.00035144392,0.0025487032,0.000006436306],"about_ca_topic_score_codex":0.01785255,"about_ca_topic_score_gemma":0.023944315,"teacher_disagreement_score":0.02637244,"about_ca_system_score_codex":0.013691847,"about_ca_system_score_gemma":0.013664873,"threshold_uncertainty_score":0.13947248},"labels":[],"label_agreement":null},{"id":"W2573959285","doi":"10.1287/mnsc.2016.2619","title":"Industrial Development Through Tacit Knowledge Seeding: Evidence from the Bangladesh Garment Industry","year":2017,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Tacit knowledge; Industrialisation; Business; Industrial organization; Empirical evidence; Developing country; Marketing; Knowledge management; Economics; Economic growth; Market economy; Computer science","score_opus":0.22134703621302862,"score_gpt":0.3062235318449383,"score_spread":0.08487649563190966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573959285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98032975,0.00063521997,0.00028258935,0.00040325316,0.0000028604718,0.000021187429,0.00019764391,0.0000047832814,0.018122807],"genre_scores_gemma":[0.99728835,0.0009345801,0.00012577744,0.000039460116,0.000004120054,0.000006446426,0.00011647677,0.0000014665687,0.0014832084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959034,0.00010656098,0.000027514669,0.00006621989,0.000093188035,0.00011615758],"domain_scores_gemma":[0.99060774,0.004725016,0.0027383852,0.00050719467,0.00082432583,0.00059726695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066668,0.00019967924,0.00021634345,0.0016819326,0.001177608,0.0015189152,0.00044633858,0.00068132463,0.00786983],"category_scores_gemma":[0.004318313,0.00018140582,0.00016696613,0.0023821555,0.0016491556,0.0013312167,0.0015551465,0.0006519507,0.0010679787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006112837,0.0007134853,0.8600144,0.00063272513,0.00011320327,0.0042103766,0.026087454,0.001587168,0.0027840715,0.00988922,0.0022244295,0.091132134],"study_design_scores_gemma":[0.000047527305,0.0003971152,0.9422362,0.0003031827,0.00006869303,0.0005426239,0.037766233,0.00094621745,0.001798198,0.0029526225,0.012891675,0.000049684557],"about_ca_topic_score_codex":0.02033443,"about_ca_topic_score_gemma":0.041141592,"teacher_disagreement_score":0.02033443,"about_ca_system_score_codex":0.0012380949,"about_ca_system_score_gemma":0.0008557274,"threshold_uncertainty_score":0.040432155},"labels":[],"label_agreement":null},{"id":"W2577748480","doi":"10.1002/app5.165","title":"Assessing the Efficiency Costs of Vietnam's ‘Missing’ Small and Medium Sized Enterprises: A Panel Data Investigation","year":2017,"lang":"en","type":"article","venue":"Asia & the Pacific Policy Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"International Development Research Centre","keywords":"Equity (law); Panel data; Missing data; Business; Skew; Small and medium-sized enterprises; Scale (ratio); Distribution (mathematics); Economics; Industrial organization; Econometrics; Finance","score_opus":0.1922111414890196,"score_gpt":0.347463427432318,"score_spread":0.1552522859432984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577748480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966665,0.000049711773,0.0011862266,0.00021099867,0.0000042127895,0.000019029403,0.00095668144,0.0000034010438,0.00090329594],"genre_scores_gemma":[0.99833494,0.000025668764,0.00028685443,0.000033039596,0.0000055695864,0.000012022289,0.00092091813,0.0000018243229,0.00037916136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707496,0.0020486673,0.00011764804,0.000267419,0.00025235073,0.00023899153],"domain_scores_gemma":[0.93309677,0.04973573,0.009912927,0.0038758432,0.002221995,0.0011567435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006040896,0.00014947707,0.0003968978,0.000472753,0.0005370547,0.0012909977,0.00075649127,0.0005262581,0.004700801],"category_scores_gemma":[0.02173416,0.00025982724,0.00038584118,0.0010526181,0.00047321626,0.0007575268,0.00082891085,0.001121334,0.00023572012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033967022,0.00021055798,0.9707784,0.000051886247,0.0003251633,0.00041055484,0.0010985472,0.01320378,0.00028798066,0.0030555967,0.0011699981,0.009067852],"study_design_scores_gemma":[0.00004149924,0.0002741592,0.95245636,0.000057665133,0.00017592114,0.0002591433,0.0052579115,0.034814477,0.00091295247,0.0026564428,0.0030580312,0.000035393154],"about_ca_topic_score_codex":0.026488371,"about_ca_topic_score_gemma":0.019059585,"teacher_disagreement_score":0.026488371,"about_ca_system_score_codex":0.0009601498,"about_ca_system_score_gemma":0.0007084345,"threshold_uncertainty_score":0.052668393},"labels":[],"label_agreement":null},{"id":"W2577944831","doi":"10.2139/ssrn.2852953","title":"Exploratory Innovation in Technology Firms: The Role of Compensation Structure for R&amp;D Workforce","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Workforce; Business; Compensation (psychology); Industrial organization; Exploratory research; Labour economics; Economics; Economic growth","score_opus":0.01981424333002548,"score_gpt":0.22581569435909493,"score_spread":0.20600145102906944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577944831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872974,0.0007060422,0.0019647947,0.003393535,0.00003514148,0.0000415215,0.00023746089,0.000020506703,0.006303493],"genre_scores_gemma":[0.997447,0.00007175082,0.0001347349,0.000088762994,0.00002521671,0.000006115763,0.000051374725,0.000002325221,0.0021727863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818426,0.000595742,0.000094497336,0.00016366183,0.00021954763,0.00074230967],"domain_scores_gemma":[0.96634835,0.01723075,0.008081452,0.00087550195,0.0015241398,0.0059398254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042028045,0.00022570818,0.0004913552,0.0007940616,0.00090318767,0.0025720801,0.0010208265,0.0022155314,0.012492922],"category_scores_gemma":[0.02077044,0.00022534822,0.00044902,0.00058162917,0.001181458,0.0016140476,0.0018719176,0.0013571946,0.00083098165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014975562,0.0010029582,0.8736757,0.00012183601,0.00016018767,0.0007486985,0.0013887993,0.013993714,0.0030851127,0.051820885,0.0034719852,0.049032427],"study_design_scores_gemma":[0.0002007818,0.0007818078,0.91965747,0.00012886421,0.00012743859,0.00032438783,0.00435274,0.028103871,0.0014180884,0.04084378,0.0040024263,0.00005832967],"about_ca_topic_score_codex":0.007252704,"about_ca_topic_score_gemma":0.015609719,"teacher_disagreement_score":0.012492922,"about_ca_system_score_codex":0.0018682968,"about_ca_system_score_gemma":0.0024189616,"threshold_uncertainty_score":0.04179299},"labels":[],"label_agreement":null},{"id":"W2580086330","doi":"10.1111/obes.12259","title":"Olley and Pakes‐style Production Function Estimators with Firm Fixed Effects","year":2018,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Estimator; Function (biology); Production (economics); Econometrics; Productivity; Control (management); Mathematics; Statistics; Economics; Biology; Microeconomics","score_opus":0.010519843919798346,"score_gpt":0.1832138525073364,"score_spread":0.17269400858753806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580086330","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09066239,0.0017207531,0.89728713,0.0013397278,0.00016258867,0.00023780238,0.0009909024,0.00039409098,0.0072047077],"genre_scores_gemma":[0.87035745,0.0011209622,0.11973096,0.0004497148,0.0002497222,0.0005112447,0.0017558468,0.000105424275,0.005718603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9914608,0.005536007,0.00042014106,0.0010618299,0.001184859,0.00033633073],"domain_scores_gemma":[0.897679,0.077586494,0.009669526,0.011139941,0.003506704,0.00041835775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017603235,0.0008945909,0.0014260318,0.002796099,0.00058091886,0.002344082,0.0018608024,0.0013033907,0.0055171223],"category_scores_gemma":[0.10484287,0.00047550473,0.0011888389,0.0032308963,0.00217552,0.003669403,0.0017321414,0.0022467352,0.001004345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023042459,0.00023445985,0.070613235,0.0006286315,0.00094003766,0.0003645414,0.0008788409,0.13025135,0.0009855123,0.55097526,0.01431394,0.2295838],"study_design_scores_gemma":[0.00027995097,0.00035532526,0.03758953,0.0003060714,0.00041075025,0.00024514404,0.00043097665,0.44045848,0.0041266372,0.491398,0.02424019,0.00015900338],"about_ca_topic_score_codex":0.005966983,"about_ca_topic_score_gemma":0.003038319,"teacher_disagreement_score":0.017603235,"about_ca_system_score_codex":0.0011820591,"about_ca_system_score_gemma":0.001474633,"threshold_uncertainty_score":0.0930959},"labels":[],"label_agreement":null},{"id":"W2580310850","doi":"10.11575/sppp.v9i0.42609","title":"If it Matters, Measure it: Unpacking Diversification in Canada","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Unpacking; Diversification (marketing strategy); Measure (data warehouse); Computer science; Business; Marketing; Philosophy; Data mining; Linguistics","score_opus":0.06567715236480708,"score_gpt":0.2793751875082837,"score_spread":0.21369803514347663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580310850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7051579,0.035004057,0.007925474,0.096586995,0.00058647903,0.00029024098,0.029349875,0.000211003,0.12488804],"genre_scores_gemma":[0.96441776,0.009907813,0.005649409,0.004744923,0.00010145019,0.00006490403,0.005872383,0.000101373495,0.009139983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723804,0.0002625383,0.00011709145,0.00028262037,0.0012893414,0.00081026356],"domain_scores_gemma":[0.99020714,0.000978317,0.0007804384,0.00040604366,0.0058368943,0.0017910994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028292036,0.00045270709,0.00063630583,0.005176043,0.0081576295,0.0050575193,0.0016289613,0.00063720095,0.0034230717],"category_scores_gemma":[0.011663181,0.00024790724,0.0006504842,0.018902378,0.0038037768,0.0024155155,0.003770291,0.0018404549,0.00024918452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020215054,0.000089534624,0.62727815,0.00058346894,0.00045704155,0.00040670607,0.015909672,0.005470846,0.0005797538,0.09784813,0.108570166,0.14260438],"study_design_scores_gemma":[0.00002485619,0.000050209157,0.79534507,0.0011470396,0.00016455885,0.00011206539,0.02282831,0.0066557066,0.00068869186,0.023258092,0.14947474,0.00025060924],"about_ca_topic_score_codex":0.9968952,"about_ca_topic_score_gemma":0.99743193,"teacher_disagreement_score":0.099587545,"about_ca_system_score_codex":0.099587545,"about_ca_system_score_gemma":0.10776611,"threshold_uncertainty_score":0.7225616},"labels":[],"label_agreement":null},{"id":"W2581862351","doi":"","title":"Effects of mergers and acquisitions on market equilibrium performance measures for processed milk market in Kenya","year":2016,"lang":"en","type":"dissertation","venue":"SU+ Digital Repository (Strathmore University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Business; Industrial organization; Economics; Monetary economics; Finance","score_opus":0.007499435416953874,"score_gpt":0.1769193362953711,"score_spread":0.1694199008784172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581862351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987238,0.00014236914,0.00008130545,0.000052059906,0.0000014974069,0.000006073886,0.00007494161,0.0000021050087,0.0009157647],"genre_scores_gemma":[0.9993344,0.00008781402,0.00009654984,0.0000071407644,0.0000025041925,0.0000036404042,0.00010589716,9.3393413e-7,0.00036119713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933064,0.00022406055,0.000043249987,0.00008492409,0.00015387507,0.00016324242],"domain_scores_gemma":[0.99635893,0.001905069,0.0011486271,0.00008335701,0.0003469622,0.00015697975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012718188,0.00021127994,0.0002568166,0.00054821634,0.00035586735,0.00092828803,0.00022896094,0.0003584194,0.0020045969],"category_scores_gemma":[0.0039842925,0.00012981996,0.0004296377,0.00053345604,0.00045124395,0.0010402318,0.000432642,0.000527839,0.00015890085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025427148,0.0009613734,0.9127436,0.00017824149,0.0003776083,0.0018948709,0.00100185,0.03153015,0.010728931,0.00778024,0.0011986835,0.02906155],"study_design_scores_gemma":[0.000038432867,0.0008495585,0.9664024,0.000020049723,0.00011360664,0.00018068378,0.0017779553,0.025259696,0.0032646977,0.0008248264,0.0012351464,0.000032918644],"about_ca_topic_score_codex":0.01850966,"about_ca_topic_score_gemma":0.02565481,"teacher_disagreement_score":0.01850966,"about_ca_system_score_codex":0.0017571754,"about_ca_system_score_gemma":0.00075973826,"threshold_uncertainty_score":0.03680384},"labels":[],"label_agreement":null},{"id":"W2582214943","doi":"10.3386/w23185","title":"High-Skilled Immigration, STEM Employment, and Non-Routine-Biased Technical Change","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Demographic economics; Labour economics; Technical change; Business; Economics; Political science; Economic growth; Productivity","score_opus":0.4645062422249074,"score_gpt":0.47585056810758797,"score_spread":0.011344325882680584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582214943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816441,0.0005956365,0.0029255261,0.001426611,0.000030280144,0.000024281731,0.0005676507,0.00002385249,0.01276214],"genre_scores_gemma":[0.9929796,0.00059365056,0.0004469799,0.00011381221,0.00003930526,0.000015976355,0.00035331413,0.0000045987867,0.0054527717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967587,0.000048358124,0.000014232415,0.000037395068,0.00004380357,0.00018030459],"domain_scores_gemma":[0.9971341,0.00091332535,0.00120751,0.00013875899,0.00011522695,0.0004911354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010483264,0.00032630574,0.00040136068,0.00088004215,0.00089871016,0.0015676492,0.00046149804,0.00097404246,0.0069274562],"category_scores_gemma":[0.0028495018,0.00016118145,0.00071970274,0.001236296,0.001011605,0.0008546057,0.0014438769,0.0010032845,0.0006184192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034653625,0.0008086002,0.7833002,0.00019008841,0.0001830475,0.0021048787,0.001889621,0.04859891,0.0023371922,0.11677244,0.0048509957,0.03861748],"study_design_scores_gemma":[0.00020261388,0.00073698716,0.7973138,0.00030876813,0.00024759021,0.0012019981,0.0067604207,0.09705392,0.0021633573,0.076360755,0.017539773,0.00010999602],"about_ca_topic_score_codex":0.025907306,"about_ca_topic_score_gemma":0.044849765,"teacher_disagreement_score":0.025907306,"about_ca_system_score_codex":0.0011400383,"about_ca_system_score_gemma":0.0015078505,"threshold_uncertainty_score":0.051513016},"labels":[],"label_agreement":null},{"id":"W2582663546","doi":"10.1108/jcc-08-2016-0009","title":"Product innovation, cost-cutting and firm economic performance in the post-crisis context: Canadian micro evidence","year":2016,"lang":"en","type":"article","venue":"Journal of CENTRUM Cathedra (JCC) The Business and Economics Research Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada; Université Laval","funders":"","keywords":"Profitability index; Industrial organization; Context (archaeology); Business; Sample (material); Marketing; Product innovation; Product (mathematics); Propensity score matching; Economics; Finance","score_opus":0.08073363149129534,"score_gpt":0.28596373974712114,"score_spread":0.2052301082558258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582663546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97237915,0.0043563046,0.0002843908,0.0021726587,0.000045445016,0.00007650843,0.010706983,0.0000132369005,0.0099653825],"genre_scores_gemma":[0.9935189,0.0018905823,0.00027472613,0.0002720636,0.000020644702,0.000019077339,0.0027917598,0.000007330908,0.001205013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975702,0.00018472355,0.000120203295,0.0003065412,0.0009908216,0.0008274718],"domain_scores_gemma":[0.9851767,0.0021469088,0.0045144106,0.00068350375,0.0054873507,0.0019911963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019722,0.00041302602,0.00067186536,0.0038135664,0.0034472996,0.0024189085,0.0013824431,0.0005982179,0.004402779],"category_scores_gemma":[0.00924654,0.0002991565,0.0008254117,0.009628163,0.0017227142,0.0007957742,0.0015167674,0.0012230119,0.0003613156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001667215,0.00009887093,0.979131,0.00023548954,0.00020395708,0.00022212253,0.0019426214,0.00041363394,0.000077708064,0.0015394895,0.0050369916,0.010931351],"study_design_scores_gemma":[0.000009456986,0.000027836428,0.9931792,0.00012962418,0.000085960586,0.000035163313,0.0026840318,0.0003587891,0.00006854939,0.00012410275,0.0032736363,0.000023640698],"about_ca_topic_score_codex":0.99179405,"about_ca_topic_score_gemma":0.99453366,"teacher_disagreement_score":0.022514142,"about_ca_system_score_codex":0.022514142,"about_ca_system_score_gemma":0.028512111,"threshold_uncertainty_score":0.16335231},"labels":[],"label_agreement":null},{"id":"W2587554232","doi":"10.5465/ambpp.2015.17571abstract","title":"Internationalization by technology entrepreneurs: A multi-level study.","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Internationalization; Business; Industrial organization; Economic geography; Economics; International trade","score_opus":0.10023750488690113,"score_gpt":0.2814806206939192,"score_spread":0.18124311580701807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587554232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867284,0.000104262006,0.00018454173,0.00007510291,0.0000016889277,0.00001234012,0.00007620794,0.0000014316379,0.000871649],"genre_scores_gemma":[0.99906546,0.00008868338,0.00017482747,0.000036639434,0.0000038142184,0.000018126198,0.00010183465,0.0000015411132,0.0005091422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887556,0.0004226712,0.000054363252,0.00013122945,0.00014746156,0.00036869114],"domain_scores_gemma":[0.9927741,0.0018189006,0.002951283,0.00038698234,0.00043580256,0.0016330273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016902294,0.00016020388,0.00030691916,0.0014492748,0.0009945513,0.0024196012,0.00035534648,0.000620276,0.0029480136],"category_scores_gemma":[0.0051045283,0.00026623486,0.00045667903,0.0015691709,0.0005026507,0.0022812225,0.0023464942,0.0010582574,0.0005228016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000533578,0.00021423631,0.9895948,0.000017565038,0.00004294323,0.00013876398,0.0036381846,0.00011294618,0.0001583488,0.0005656685,0.00019468376,0.005268514],"study_design_scores_gemma":[0.000008942922,0.00019517765,0.98617375,0.000029299817,0.00002673823,0.0001795761,0.010812458,0.0005945448,0.00013590582,0.00028090013,0.0015531786,0.000009387577],"about_ca_topic_score_codex":0.002934825,"about_ca_topic_score_gemma":0.005127778,"teacher_disagreement_score":0.0029480136,"about_ca_system_score_codex":0.00050194236,"about_ca_system_score_gemma":0.000544393,"threshold_uncertainty_score":0.009862125},"labels":[],"label_agreement":null},{"id":"W2595850450","doi":"","title":"Chocs propres a l?entreprise et fluctuations agregees dans le secteur de la fabrication au Canada, 2000 a 2012","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.0192972412397926,"score_gpt":0.26566326009056335,"score_spread":0.24636601885077075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595850450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97225225,0.0026584966,0.004028184,0.0022949385,0.000036240366,0.00003420381,0.0040890654,0.00010195471,0.014504624],"genre_scores_gemma":[0.98382056,0.0011441063,0.00084191235,0.00009638572,0.000013849707,0.000012505009,0.0010822768,0.000018819099,0.0129695665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949527,0.000043740936,0.000015115294,0.00008876748,0.00016978473,0.00018731171],"domain_scores_gemma":[0.99846727,0.00040970245,0.00039581835,0.000087284076,0.0004435408,0.00019643224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000654685,0.00033700597,0.00036832548,0.0013242844,0.0014153867,0.0029559124,0.00062510057,0.00059994287,0.0040744618],"category_scores_gemma":[0.002539689,0.00023926173,0.0006955423,0.0025623657,0.0011449778,0.00065467006,0.000748255,0.0009945575,0.0002828489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006135132,0.00011942962,0.71787643,0.00024643357,0.00040671427,0.0015078189,0.0047517107,0.104684316,0.0025995343,0.08189377,0.010379615,0.074920714],"study_design_scores_gemma":[0.00004773505,0.00009724539,0.85102546,0.00017197513,0.00016775742,0.00022311955,0.0046996246,0.07385302,0.002440343,0.0093147885,0.057837784,0.00012120543],"about_ca_topic_score_codex":0.9492309,"about_ca_topic_score_gemma":0.9557723,"teacher_disagreement_score":0.05076909,"about_ca_system_score_codex":0.017755682,"about_ca_system_score_gemma":0.015368357,"threshold_uncertainty_score":0.1288271},"labels":[],"label_agreement":null},{"id":"W2597327677","doi":"","title":"Innovation et participation aux marches d?exportation chez les entreprises du secteur canadien de la fabrication","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Exportation; Mathematics; Art","score_opus":0.055541085333105984,"score_gpt":0.31662573364434876,"score_spread":0.2610846483112428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597327677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809911,0.0003804424,0.00035264937,0.0003477812,0.000012395537,0.00002347289,0.00011480414,0.000006795543,0.017770618],"genre_scores_gemma":[0.92507005,0.0009261093,0.00092902884,0.00013188632,0.000012192787,0.000041641048,0.0002316669,0.0000097756565,0.072647735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992705,0.00014530965,0.000016788665,0.00010410009,0.0002203261,0.00024292263],"domain_scores_gemma":[0.99789894,0.0007171949,0.0004173795,0.00009606807,0.00041604976,0.00045431155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012583133,0.00028292093,0.00019274745,0.00089319114,0.0018283885,0.0019885036,0.00040535946,0.00057808514,0.015585526],"category_scores_gemma":[0.0022193338,0.00019734095,0.0003045828,0.0012400777,0.0007512372,0.00077359204,0.0010853688,0.000726768,0.0015048096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073027605,0.00062698155,0.54375565,0.00043748526,0.00009854549,0.0033493724,0.17228283,0.0011985736,0.028360806,0.014552799,0.0049573807,0.22964928],"study_design_scores_gemma":[0.000020364083,0.0007445136,0.77093005,0.00019261848,0.00004755317,0.0005714122,0.096399896,0.00065947324,0.003768107,0.00096281315,0.1256421,0.00006111255],"about_ca_topic_score_codex":0.0414596,"about_ca_topic_score_gemma":0.117136426,"teacher_disagreement_score":0.9585404,"about_ca_system_score_codex":0.002648617,"about_ca_system_score_gemma":0.002524392,"threshold_uncertainty_score":0.08243656},"labels":[],"label_agreement":null},{"id":"W2597467967","doi":"","title":"The impact of IT on the growth and development of insular firms","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Moncton","funders":"","keywords":"Diversification (marketing strategy); Business; Industrial organization; Information technology; Marketing; Computer science","score_opus":0.059958872286608234,"score_gpt":0.3071871836939882,"score_spread":0.24722831140737994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597467967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950595,0.0036269042,0.0005984927,0.01080157,0.00008214937,0.000008673289,0.0010367098,0.00003460272,0.08875144],"genre_scores_gemma":[0.99540967,0.0012113127,0.00004886257,0.00012632765,0.00007548067,0.0000016602272,0.00016265016,0.0000048569113,0.0029591573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955446,0.00010637663,0.000016079764,0.000051841555,0.00006717355,0.00020404151],"domain_scores_gemma":[0.99377537,0.0026536975,0.0015059584,0.0002495105,0.00088513247,0.0009303041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070846017,0.00019184701,0.00028944743,0.00064189744,0.0007055414,0.0039975434,0.00023560351,0.0007482707,0.011751028],"category_scores_gemma":[0.005090623,0.00007295257,0.00036572682,0.0016803816,0.0011408927,0.0015331752,0.0011844282,0.0012241715,0.0007245026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00131778,0.0004066012,0.4753068,0.0007587,0.000381626,0.0018806556,0.0023922478,0.03325026,0.006526194,0.2780761,0.022984024,0.17671905],"study_design_scores_gemma":[0.0000629145,0.00043037048,0.81188,0.00039794482,0.00037414132,0.0003819065,0.006605968,0.014986976,0.0052068844,0.116055764,0.043544974,0.00007212997],"about_ca_topic_score_codex":0.019208994,"about_ca_topic_score_gemma":0.01865137,"teacher_disagreement_score":0.019208994,"about_ca_system_score_codex":0.0020120123,"about_ca_system_score_gemma":0.0011152655,"threshold_uncertainty_score":0.03931111},"labels":[],"label_agreement":null},{"id":"W2599829484","doi":"","title":"Recession fears and resilient farm prices : editor's note","year":2015,"lang":"en","type":"article","venue":"Farmers' Weekly","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Quarter (Canadian coin); Economics; Keynesian economics; Economic history; Monetary economics; History; Archaeology","score_opus":0.03148559183155546,"score_gpt":0.24667490844208328,"score_spread":0.21518931661052781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599829484","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031402204,0.0060084676,0.00013997109,0.6653902,0.3265229,0.000017972976,0.00018634862,0.000064137,0.001355999],"genre_scores_gemma":[0.0030119258,0.009003277,0.0002899714,0.33789542,0.6446815,0.00003608456,0.000056037177,0.000053588665,0.004972255],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831617,0.00036751886,0.00028260582,0.00030711552,0.0005543897,0.000172243],"domain_scores_gemma":[0.98027474,0.009324948,0.0012257587,0.00042428164,0.006722839,0.0020275135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043406836,0.0016807312,0.00172462,0.0010266429,0.002082065,0.0052924375,0.0032536618,0.01589033,0.008710355],"category_scores_gemma":[0.029768588,0.0007313901,0.0012612832,0.0013657542,0.0018251332,0.0053555355,0.0012309033,0.022945086,0.0043357713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000139681715,0.000012860918,0.00017253267,0.00007979135,0.000007138178,0.00012611883,0.00004237723,0.000015966063,0.000016374797,0.0002268479,0.99561596,0.0036700591],"study_design_scores_gemma":[0.00008675522,0.00005150332,0.0027770714,0.0009728089,0.0000603056,0.0007535728,0.0007597457,0.00036036092,0.00016899242,0.0017984939,0.99214125,0.000069095026],"about_ca_topic_score_codex":0.004851495,"about_ca_topic_score_gemma":0.010103383,"teacher_disagreement_score":0.01589033,"about_ca_system_score_codex":0.0014377068,"about_ca_system_score_gemma":0.004637946,"threshold_uncertainty_score":0.029139042},"labels":[],"label_agreement":null},{"id":"W2601193201","doi":"","title":"Who controls the development of skills in technology districts? The case of the Quebec Region's IT ecosystem","year":2015,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Innovation Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Procurement; Government (linguistics); Business ecosystem; Business; Function (biology); Ecosystem; Distribution (mathematics); Private sector; Dynamics (music); Industrial organization; Marketing; Environmental resource management; Regional science; Economics; Economic growth; Knowledge management; Ecology; Geography; Sociology","score_opus":0.03569372262538009,"score_gpt":0.25275755802970995,"score_spread":0.21706383540432986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601193201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.850004,0.001083168,0.0011506174,0.011786013,0.000022519682,0.000049207723,0.00022688892,0.000030921743,0.13564672],"genre_scores_gemma":[0.9960193,0.00010015341,0.00013758375,0.00022233295,0.0000035327805,0.000005597595,0.000020604455,0.0000033147198,0.0034876326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99818295,0.0004050679,0.00001626728,0.00011006178,0.000127939,0.0011576621],"domain_scores_gemma":[0.99732,0.0006252319,0.00027060596,0.00011633304,0.0005517178,0.0011161333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010562093,0.00016045246,0.0002961767,0.0012136925,0.0070267785,0.007092448,0.0011975551,0.0013987861,0.0065063806],"category_scores_gemma":[0.002869338,0.00020934107,0.0002566849,0.001389073,0.005605442,0.0023720767,0.0027684027,0.0011369355,0.00028290797],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003501917,0.0002939097,0.3817719,0.00016191533,0.00013386231,0.010191427,0.041011643,0.011978031,0.003770136,0.461215,0.017836886,0.071285084],"study_design_scores_gemma":[0.00010555725,0.00013248081,0.65549254,0.0004599291,0.00014417004,0.0010838637,0.14523515,0.01621515,0.0009559017,0.040186487,0.13984263,0.00014616942],"about_ca_topic_score_codex":0.9664168,"about_ca_topic_score_gemma":0.97988886,"teacher_disagreement_score":0.9476853,"about_ca_system_score_codex":0.052314695,"about_ca_system_score_gemma":0.02866772,"threshold_uncertainty_score":0.3795715},"labels":[],"label_agreement":null},{"id":"W2601462271","doi":"","title":"Start-Up Financing, Owner Characteristics, and Survival","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ceteris paribus; Loan; Participation loan; Business; Non-conforming loan; Cross-collateralization; Bridge loan; Actuarial science; Loan sale; Financial system; Positive correlation; Term loan; Finance; Economics; Non-performing loan","score_opus":0.05714706560757745,"score_gpt":0.28539715337271265,"score_spread":0.2282500877651352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601462271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901795,0.0001342031,0.00016771663,0.000052206018,0.0000019747583,0.0000048782185,0.0001564202,0.0000025254992,0.00046207485],"genre_scores_gemma":[0.9990042,0.000079591504,0.000063914,0.0000062489694,0.0000057186703,0.0000045330307,0.00020666076,9.5222765e-7,0.0006282327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997688,0.0000731574,0.000015257936,0.000029642242,0.000028251503,0.00008489613],"domain_scores_gemma":[0.9822649,0.009884103,0.0037826942,0.0004857441,0.0006459144,0.002936672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013016434,0.00014673403,0.0003176341,0.0008390097,0.00033781223,0.00074245053,0.00030975675,0.00041430016,0.0057169036],"category_scores_gemma":[0.007355516,0.00009928879,0.0002698733,0.00076227717,0.00045769356,0.00052400265,0.0006120536,0.00069208577,0.00045996858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120986224,0.00009799669,0.9930744,0.000011774499,0.00003648838,0.00014259428,0.00015737244,0.0011589107,0.00015698615,0.00032337845,0.00013998676,0.0045792204],"study_design_scores_gemma":[0.000015046418,0.00023179658,0.9942636,0.000018299366,0.000041757638,0.0001768348,0.00042241302,0.0032452478,0.00021593088,0.00088359835,0.0004770396,0.000008396105],"about_ca_topic_score_codex":0.0034738253,"about_ca_topic_score_gemma":0.004894815,"teacher_disagreement_score":0.0057169036,"about_ca_system_score_codex":0.00033897426,"about_ca_system_score_gemma":0.00032312243,"threshold_uncertainty_score":0.019124925},"labels":[],"label_agreement":null},{"id":"W2603386640","doi":"10.18235/0000616","title":"Exploring Firm-Level Innovation and Productivity in Developing Countries: The Perspective of Caribbean Small States","year":2017,"lang":"en","type":"book","venue":"Inter-American Development Bank eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Sussex; International Development Research Centre","keywords":"Perspective (graphical); Productivity; Economic geography; Business; Geography; Regional science; Economics; Economic growth; Computer science","score_opus":0.14349929264553204,"score_gpt":0.2571013704571679,"score_spread":0.11360207781163587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603386640","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17790547,0.33464003,0.00501507,0.027885532,0.00046626935,0.00006287886,0.002972691,0.000068316884,0.45098376],"genre_scores_gemma":[0.5977861,0.34764376,0.00298088,0.001892431,0.0003775912,0.00014449317,0.0016975418,0.00005359214,0.04742363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99976987,0.00007906574,0.000008071045,0.000020140153,0.00005617149,0.000066745706],"domain_scores_gemma":[0.9989058,0.0007322891,0.00009560446,0.000027073544,0.0001791114,0.00006010637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075159536,0.00030865043,0.0003581603,0.0040671853,0.0013216446,0.003793625,0.00032065544,0.00040146784,0.004040917],"category_scores_gemma":[0.0028903696,0.00014114798,0.00029271207,0.013131272,0.00089440134,0.0016928505,0.0012129026,0.00088402914,0.00028131597],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007568313,0.00008833398,0.05530697,0.0013763009,0.00014628345,0.00083226,0.01781612,0.009538588,0.00048892555,0.47627538,0.07565983,0.3623952],"study_design_scores_gemma":[0.000012961744,0.000061011488,0.14923236,0.0033367674,0.00012263937,0.00019317924,0.028571304,0.0047778483,0.0005165009,0.13123558,0.68186295,0.000076889555],"about_ca_topic_score_codex":0.14732125,"about_ca_topic_score_gemma":0.26462966,"teacher_disagreement_score":0.14732125,"about_ca_system_score_codex":0.0048731253,"about_ca_system_score_gemma":0.0037923872,"threshold_uncertainty_score":0.2929275},"labels":[],"label_agreement":null},{"id":"W2603967752","doi":"10.1504/ijvd.1995.061925","title":"Modelling successful technology implementation","year":2014,"lang":"en","type":"article","venue":"International Journal of Vehicle Design","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Profitability index; Investment (military); Affect (linguistics); Industrial organization; Return on investment; Conceptual model; Engineering; Empirical research; Competitive advantage; Marketing; Business; Operations management; Economics; Computer science; Production (economics); Microeconomics; Finance","score_opus":0.04468074503741054,"score_gpt":0.2736491582225504,"score_spread":0.22896841318513989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603967752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4400359,0.0015093011,0.3734976,0.0058536134,0.00020889525,0.00053292216,0.0053891004,0.00059905596,0.1723736],"genre_scores_gemma":[0.9376861,0.0011859956,0.022581141,0.0001342082,0.000056080706,0.00059354975,0.0012733224,0.00010044131,0.036389112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989511,0.0003607347,0.000059649174,0.00017618503,0.00016058054,0.0002917496],"domain_scores_gemma":[0.99452364,0.0037580112,0.00082000945,0.00017196448,0.00041835516,0.00030788706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016274529,0.0011035848,0.00081129634,0.00207008,0.00077743595,0.0040142015,0.0025426925,0.0048750243,0.022373417],"category_scores_gemma":[0.012414416,0.0009936539,0.001335486,0.002163101,0.0013162494,0.0029967998,0.001761634,0.0020772042,0.0026170425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041182804,0.00007493816,0.0043868204,0.0000761489,0.00002272546,0.00023585297,0.00027880367,0.8940572,0.0003031368,0.094028346,0.00095260906,0.005542191],"study_design_scores_gemma":[0.000028982642,0.00006147679,0.0012921517,0.000033305034,0.000019839132,0.00007732766,0.00018121979,0.9599451,0.00011225376,0.03390581,0.004315725,0.000026837404],"about_ca_topic_score_codex":0.050600097,"about_ca_topic_score_gemma":0.036841806,"teacher_disagreement_score":0.050600097,"about_ca_system_score_codex":0.0042377724,"about_ca_system_score_gemma":0.0030877418,"threshold_uncertainty_score":0.10061115},"labels":[],"label_agreement":null},{"id":"W2606364384","doi":"","title":"The Use of Knowledge-Intensive Business Services in SME Manufacturing Firms in Quebec : Performance Diagnosis and Drivers of Innovation by Sector and RegionABBREVIATED EDITION","year":2012,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Service (business); Manufacturing sector; Tertiary sector of the economy; Exploratory research; Manufacturing; Knowledge management; Marketing; Industrial organization; Computer science; Economics","score_opus":0.04059188871649742,"score_gpt":0.21198270135183653,"score_spread":0.17139081263533912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606364384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952336,0.0005305409,0.0001502408,0.0003887916,0.0000024839167,0.000011694645,0.0011737177,0.0000085720585,0.002500416],"genre_scores_gemma":[0.9976706,0.00027347315,0.000106653526,0.000018699087,0.0000022346576,0.0000052164974,0.00048292798,0.0000024184699,0.0014377645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995214,0.00008559277,0.0000245843,0.00006063212,0.00013618739,0.00017170263],"domain_scores_gemma":[0.99585956,0.0013160666,0.0010198475,0.000099933946,0.0010880369,0.00061656657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074627,0.00018987487,0.00022153782,0.0020245335,0.00072483683,0.0017099036,0.0006481462,0.000340969,0.0048417044],"category_scores_gemma":[0.0037717475,0.00010041988,0.00032732612,0.004309201,0.0006566081,0.0009043963,0.00089067605,0.00041586568,0.00023860176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057628185,0.000056434757,0.96984786,0.00006874823,0.00004266819,0.00016663059,0.0021555768,0.0011654649,0.00045918892,0.0009146325,0.0009758886,0.024089353],"study_design_scores_gemma":[0.0000017287587,0.000012796013,0.9952891,0.00003343658,0.000008724351,0.00002305194,0.002146193,0.0013256744,0.00009075787,0.00004912174,0.001013003,0.0000064387996],"about_ca_topic_score_codex":0.96807665,"about_ca_topic_score_gemma":0.9790366,"teacher_disagreement_score":0.031923354,"about_ca_system_score_codex":0.015351382,"about_ca_system_score_gemma":0.010189419,"threshold_uncertainty_score":0.1113826},"labels":[],"label_agreement":null},{"id":"W2606507769","doi":"10.2139/ssrn.2936192","title":"Aggressive Growth in Retail: A Trade-Off between Deterrence and Survival?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deterrence (psychology); Business; Retail trade; International trade; Economics; Commerce; Law and economics","score_opus":0.032865181228023205,"score_gpt":0.2450204882917445,"score_spread":0.2121553070637213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606507769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544123,0.00047963148,0.0037357502,0.0052127647,0.00004234241,0.000019930325,0.00009711353,0.00007965047,0.035920635],"genre_scores_gemma":[0.9984054,0.00010436697,0.00015078417,0.0001322962,0.00003536585,0.0000027372494,0.000021002004,0.0000055958017,0.0011425588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990946,0.000303106,0.000052991614,0.0001242933,0.00012605621,0.0002989745],"domain_scores_gemma":[0.9805495,0.007411506,0.006278593,0.0013908135,0.0013537803,0.0030157713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002711088,0.00022880928,0.0005572463,0.00073541724,0.0008037243,0.0031180037,0.0006004219,0.0021807004,0.011155322],"category_scores_gemma":[0.014037397,0.00019689495,0.00027868382,0.0004394773,0.0024173765,0.002511043,0.002106025,0.0017576339,0.0012332792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014009849,0.001249135,0.5506426,0.00033436716,0.00022781485,0.0012445262,0.0030592913,0.008940641,0.008001772,0.19645618,0.013265449,0.2151772],"study_design_scores_gemma":[0.00016337897,0.001692602,0.56587446,0.00038935302,0.00014065893,0.002451981,0.016880875,0.026447305,0.004753641,0.36390653,0.017172035,0.00012715331],"about_ca_topic_score_codex":0.001154676,"about_ca_topic_score_gemma":0.003011278,"teacher_disagreement_score":0.011155322,"about_ca_system_score_codex":0.0005182553,"about_ca_system_score_gemma":0.0005819341,"threshold_uncertainty_score":0.03731835},"labels":[],"label_agreement":null},{"id":"W2606948331","doi":"10.1186/s40173-017-0080-6","title":"Are genetic markers of interest for economic research?","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Labor Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multitude; Economics; Positive economics; Political science","score_opus":0.2557140083305661,"score_gpt":0.3934168217029678,"score_spread":0.1377028133724017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606948331","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19952443,0.101491414,0.02300617,0.5904902,0.0040262593,0.00007821753,0.00275108,0.00013417075,0.0784981],"genre_scores_gemma":[0.95414585,0.025194192,0.0034794933,0.008931469,0.0044669015,0.000069080685,0.0005316387,0.0000347802,0.0031465467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9892279,0.007555675,0.0004389167,0.0010882672,0.0012132848,0.00047588014],"domain_scores_gemma":[0.87747276,0.090866655,0.017062267,0.005100321,0.006611797,0.002886089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01489024,0.0003895164,0.0014154062,0.004996032,0.001018943,0.007192606,0.0011841796,0.0035144077,0.01202244],"category_scores_gemma":[0.08298899,0.0002503113,0.00048322754,0.012774368,0.00946648,0.0045033065,0.0013955196,0.0034191958,0.0014460048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046884172,0.00012561055,0.22910559,0.00075720425,0.0005622145,0.0005136798,0.000959801,0.0028090414,0.0003083921,0.5730669,0.032113623,0.15920915],"study_design_scores_gemma":[0.000083728846,0.00007389114,0.14408252,0.0014196513,0.00026713675,0.0002618837,0.00267724,0.0022394822,0.00026127824,0.8050836,0.04348581,0.000063806976],"about_ca_topic_score_codex":0.0024731148,"about_ca_topic_score_gemma":0.0018710339,"teacher_disagreement_score":0.01489024,"about_ca_system_score_codex":0.0020146663,"about_ca_system_score_gemma":0.0016634016,"threshold_uncertainty_score":0.07874805},"labels":[],"label_agreement":null},{"id":"W2609180639","doi":"10.3386/w25928","title":"Scientific Education and Innovation: From Technical Diplomas to University STEM Degrees","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Mathematics education; Engineering management; Engineering; Psychology","score_opus":0.43914297011438547,"score_gpt":0.46175146711424014,"score_spread":0.022608496999854677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609180639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303288,0.0034512475,0.00034266763,0.0071197636,0.00010659132,0.000032334006,0.00084076123,0.000017291406,0.057760574],"genre_scores_gemma":[0.99217844,0.001483262,0.00012448692,0.0005011214,0.00014634414,0.00002122198,0.00040038204,0.0000053587,0.00513939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990403,0.00026188095,0.00003392521,0.00012870818,0.0002008838,0.00033419783],"domain_scores_gemma":[0.99145144,0.004811008,0.0020305975,0.00014655298,0.00044041182,0.0011200546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010985861,0.00016127939,0.0003166684,0.00105633,0.0006157415,0.0019513338,0.00038896446,0.0007050329,0.012537657],"category_scores_gemma":[0.007157894,0.00008664726,0.0005194571,0.002128832,0.00067871,0.00087311974,0.0013802798,0.00088371756,0.000790419],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026544014,0.004404286,0.65003794,0.001042745,0.00027915323,0.0013798866,0.0026686275,0.008090017,0.0019384412,0.062911965,0.02179241,0.24280013],"study_design_scores_gemma":[0.00026264938,0.00079984724,0.9526741,0.00019282644,0.00022874393,0.00015907006,0.0026112304,0.0014910416,0.0016926123,0.0149878,0.024877327,0.000022726193],"about_ca_topic_score_codex":0.019198474,"about_ca_topic_score_gemma":0.019215392,"teacher_disagreement_score":0.019198474,"about_ca_system_score_codex":0.0017293278,"about_ca_system_score_gemma":0.0032021452,"threshold_uncertainty_score":0.041942656},"labels":[],"label_agreement":null},{"id":"W2610469534","doi":"","title":"Managing a farming business in financial distress : business","year":2016,"lang":"en","type":"article","venue":"Farmers' Weekly","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Financial distress; Quarter (Canadian coin); Agriculture; Business; Point (geometry); Business failure; Distress; Finance; Financial system; Geography","score_opus":0.018613824847572305,"score_gpt":0.2046889091752149,"score_spread":0.18607508432764258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610469534","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13542275,0.022693168,0.0029778003,0.7199557,0.0022447496,0.00006469828,0.00006726781,0.00013056058,0.1164434],"genre_scores_gemma":[0.8511293,0.03957769,0.004160786,0.03797036,0.00177158,0.00005450329,0.00009640262,0.000052503547,0.06518695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985417,0.00047937076,0.0000477299,0.00009373203,0.00031053036,0.0005269082],"domain_scores_gemma":[0.9912117,0.0013440059,0.00070889684,0.00013175725,0.00072367734,0.005880045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028721811,0.00025318173,0.000236373,0.00056234695,0.0051371004,0.0078021702,0.0006484013,0.00381981,0.01000961],"category_scores_gemma":[0.008731032,0.00021229789,0.00012167234,0.0009781156,0.002882661,0.0071537807,0.0028393462,0.0038776596,0.0030003279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015074402,0.00058019225,0.035767302,0.00047142807,0.000038068938,0.0038053873,0.024249202,0.00066001643,0.0027881248,0.036784846,0.49856052,0.3961442],"study_design_scores_gemma":[0.00002837266,0.00034378513,0.03758335,0.0015621224,0.000020821268,0.0024800436,0.14639549,0.0013838761,0.00080527324,0.050367057,0.75892204,0.00010771857],"about_ca_topic_score_codex":0.00193266,"about_ca_topic_score_gemma":0.0037730236,"teacher_disagreement_score":0.01000961,"about_ca_system_score_codex":0.0017035502,"about_ca_system_score_gemma":0.0041026985,"threshold_uncertainty_score":0.03348553},"labels":[],"label_agreement":null},{"id":"W2612407174","doi":"10.71781/18276","title":"Les joueurs de hasard et d’argent au Québec : trajectoires et exploration des facteurs explicatifs du changement","year":2016,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02757310610820546,"score_gpt":0.20278850779244367,"score_spread":0.17521540168423821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612407174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309325,0.0008143389,0.00032461842,0.0005529528,0.000019256284,0.000025251293,0.00033559272,0.000006293984,0.0048284237],"genre_scores_gemma":[0.9935961,0.00055698986,0.00028268306,0.00009616916,0.0000044875146,0.000024512394,0.00018427634,0.0000054179495,0.0052494393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996604,0.000086418135,0.000009829748,0.000055073648,0.00006769492,0.000120659104],"domain_scores_gemma":[0.9985771,0.00022637937,0.00028107082,0.00005391822,0.00061271724,0.00024881982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081870286,0.00022756547,0.0002729136,0.001133494,0.0044413237,0.0016756633,0.00077460374,0.00048011143,0.004964944],"category_scores_gemma":[0.002040632,0.00021177993,0.00026059235,0.0019235398,0.001496265,0.00080647663,0.00092814345,0.00064112304,0.00029351749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016514731,0.000068053334,0.86754817,0.00014745136,0.000089637,0.0006503087,0.0935422,0.0003486147,0.0009671642,0.0016531631,0.003486029,0.031334028],"study_design_scores_gemma":[0.0000037808154,0.000030755542,0.9399348,0.000103788465,0.000024375015,0.00006472298,0.052550714,0.0003328068,0.0001050718,0.00011734412,0.006713561,0.00001828842],"about_ca_topic_score_codex":0.9757488,"about_ca_topic_score_gemma":0.99315697,"teacher_disagreement_score":0.024251223,"about_ca_system_score_codex":0.012411435,"about_ca_system_score_gemma":0.0101811215,"threshold_uncertainty_score":0.09005165},"labels":[],"label_agreement":null},{"id":"W2620652979","doi":"10.1002/asmb.2225","title":"Mixed proportional hazard models with continuous finite mixture unobserved heterogeneity: an application to Canadian firm survival","year":2017,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Bank of Canada","funders":"","keywords":"Econometrics; Proportional hazards model; Mixture model; Economics; Hazard ratio; Mathematics; Hazard; Statistics; Survival analysis; Biology; Ecology; Confidence interval","score_opus":0.06994612371462917,"score_gpt":0.2356305325684263,"score_spread":0.16568440885379715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620652979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101927586,0.0017269519,0.8858905,0.0019786688,0.00014364794,0.0003708796,0.0017725547,0.00050390157,0.005685316],"genre_scores_gemma":[0.83223265,0.0018787883,0.1427619,0.000274552,0.0002025808,0.0005012126,0.0015824629,0.000113947484,0.020451926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784315,0.0010592551,0.00006372773,0.00034767608,0.00036589007,0.0003202411],"domain_scores_gemma":[0.98972535,0.007636757,0.00089796196,0.0005606587,0.00084944186,0.00032977908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008600861,0.0009007813,0.0012002267,0.0017842453,0.0011613949,0.0016317284,0.0036691623,0.0013904017,0.0056848745],"category_scores_gemma":[0.021264331,0.0005282515,0.0014564535,0.002236833,0.0015940457,0.0012701579,0.0019536891,0.002275471,0.00040176933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002036921,0.0000668967,0.016106213,0.00019547179,0.00022262892,0.00040602783,0.001159812,0.37712905,0.00051465887,0.52783763,0.0044637457,0.07169419],"study_design_scores_gemma":[0.000067040884,0.00006367444,0.005635748,0.00005668395,0.00010991281,0.00012841387,0.00022860745,0.85815006,0.00021908735,0.12679256,0.008467136,0.00008109596],"about_ca_topic_score_codex":0.45231837,"about_ca_topic_score_gemma":0.3549835,"teacher_disagreement_score":0.5476816,"about_ca_system_score_codex":0.008660645,"about_ca_system_score_gemma":0.00707533,"threshold_uncertainty_score":0.89937115},"labels":[],"label_agreement":null},{"id":"W2694061442","doi":"","title":"The dynamics of firm growth in Atlantic Canada and Canada (1989-1995)","year":2014,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.005071267848215451,"score_gpt":0.13623950714136468,"score_spread":0.13116823929314922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2694061442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94981635,0.001785216,0.00024757796,0.0024223512,0.000037158217,0.00003226481,0.032270584,0.000050196155,0.013338239],"genre_scores_gemma":[0.97476035,0.0012806036,0.0003031119,0.00012415214,0.000013680962,0.00001430315,0.016094115,0.000012053469,0.0073975306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990103,0.000027138447,0.000036616,0.00007122683,0.00041080368,0.0004439939],"domain_scores_gemma":[0.9935189,0.00038233507,0.0010126684,0.00008774924,0.003960598,0.0010377498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006412306,0.0002256944,0.00033141667,0.003669044,0.001838639,0.0025917324,0.00090102514,0.00043176586,0.0017746582],"category_scores_gemma":[0.004343378,0.00017378756,0.00032932093,0.008390874,0.0006146251,0.0006945937,0.0009839901,0.00075270556,0.00033134592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022313342,0.000051434603,0.9460057,0.00007640396,0.000074554104,0.00030597654,0.0017764564,0.0030375286,0.0002857147,0.00313908,0.016484875,0.028539106],"study_design_scores_gemma":[0.0000064788555,0.000012922066,0.984405,0.000040192986,0.000018266463,0.00005441363,0.001996323,0.0020310718,0.00021475555,0.000112271584,0.011089615,0.000018680888],"about_ca_topic_score_codex":0.9976694,"about_ca_topic_score_gemma":0.99852175,"teacher_disagreement_score":0.05540357,"about_ca_system_score_codex":0.05540357,"about_ca_system_score_gemma":0.04053331,"threshold_uncertainty_score":0.40198296},"labels":[],"label_agreement":null},{"id":"W269611794","doi":"","title":"Who Is Minding the Store? Innovation Strategy and Agro-Biotechnology Research in Canada */Qui S'occupe Du Magasin? la Strategie D'innovation et la Recherche Agrobiologique Au Canada *","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public policy; Government (linguistics); Basic research; Political science; Library science; Law","score_opus":0.2737711368342941,"score_gpt":0.3555368387244459,"score_spread":0.08176570189015181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W269611794","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28661323,0.021489603,0.0019450184,0.31234953,0.0003867959,0.00010235913,0.0005792849,0.00010115522,0.37643299],"genre_scores_gemma":[0.9344202,0.008795146,0.0009304163,0.0070434613,0.000046988458,0.000017274964,0.00010188356,0.000032121483,0.048612494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9958391,0.00053223234,0.0000714192,0.0003220803,0.0011547885,0.0020802773],"domain_scores_gemma":[0.99290824,0.001321864,0.00052622,0.000103762744,0.002442308,0.0026975463],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0030637563,0.00027918242,0.0003987679,0.0028389085,0.020664658,0.01802826,0.0013805842,0.0025087616,0.008601224],"category_scores_gemma":[0.0055245156,0.00027692094,0.000310424,0.0058198245,0.02005451,0.0045949803,0.0029107374,0.0023042895,0.0006533907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00014872705,0.00009453856,0.05568745,0.00051580573,0.000050502033,0.0012511174,0.078960665,0.0011279591,0.0012274102,0.6465664,0.09118482,0.1231846],"study_design_scores_gemma":[0.000032688054,0.00005751449,0.088601634,0.0008290523,0.00009298933,0.00031487297,0.22594218,0.0018556692,0.0011232642,0.05941461,0.6215356,0.00019991347],"about_ca_topic_score_codex":0.99341923,"about_ca_topic_score_gemma":0.99604404,"teacher_disagreement_score":0.99693626,"about_ca_system_score_codex":0.20887317,"about_ca_system_score_gemma":0.3082608,"threshold_uncertainty_score":0.91759497},"labels":[],"label_agreement":null},{"id":"W2700765112","doi":"","title":"How do shares of Canadian multinationals perform compared to those of their domestic counterparts","year":2013,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; International trade; Economics","score_opus":0.021253066388097864,"score_gpt":0.17859706922393032,"score_spread":0.15734400283583244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2700765112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99147356,0.00030575052,0.0000590902,0.00038618545,0.000010366871,0.0000057780167,0.00045396658,0.0000052278547,0.0073001147],"genre_scores_gemma":[0.9980204,0.00013942523,0.0000342987,0.00003646182,0.000004517373,0.0000010054612,0.0002713198,0.000002310851,0.0014902558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992723,0.0000423208,0.000017439394,0.00007480976,0.000296965,0.0002962364],"domain_scores_gemma":[0.99722016,0.00018183955,0.0008448196,0.000110518915,0.0010258032,0.0006167649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069858413,0.0002151196,0.00024075189,0.0010495761,0.0013259989,0.0026393095,0.0005189872,0.00045503472,0.002850705],"category_scores_gemma":[0.0039769495,0.00009725794,0.0002799274,0.0014502718,0.00070607447,0.0009844416,0.00055093475,0.00033811416,0.0006141608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013635744,0.000027988111,0.9784607,0.00001653415,0.000075466065,0.00009894176,0.0020403587,0.00036469332,0.00076510647,0.0010219746,0.001547463,0.015444328],"study_design_scores_gemma":[0.0000036087959,0.00002369675,0.99278647,0.000011289072,0.00002809594,0.000058636204,0.0036602886,0.00050370576,0.00030055095,0.0001323043,0.0024720714,0.000019340318],"about_ca_topic_score_codex":0.9122423,"about_ca_topic_score_gemma":0.9529255,"teacher_disagreement_score":0.08775771,"about_ca_system_score_codex":0.008223329,"about_ca_system_score_gemma":0.005430643,"threshold_uncertainty_score":0.17654902},"labels":[],"label_agreement":null},{"id":"W2702745219","doi":"10.1111/ehr.12430","title":"Shakeout in the early commercial airframe industry","year":2017,"lang":"en","type":"article","venue":"The Economic History Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Airframe; Government (linguistics); Aircraft industry; Market share; Business; Marketing; Engineering; Aeronautics","score_opus":0.12726890100860436,"score_gpt":0.2740957744981221,"score_spread":0.14682687348951776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2702745219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91805017,0.064187035,0.00022238994,0.00083467364,0.000027352538,0.000016755868,0.00026966832,0.0000068276104,0.016385173],"genre_scores_gemma":[0.9812277,0.0166136,0.000058732414,0.00006353923,0.000029837178,0.000002421078,0.00015919528,0.0000012626936,0.0018437132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996402,0.000065185806,0.000022593686,0.000057857043,0.00012566245,0.00008838087],"domain_scores_gemma":[0.99735045,0.00059402175,0.0010519467,0.00006194649,0.0007039653,0.00023759248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011208571,0.00014433458,0.00017464573,0.001768101,0.00036025158,0.0009826083,0.0002838969,0.0005562683,0.002735494],"category_scores_gemma":[0.002158394,0.00009503344,0.00014350706,0.002521796,0.00041210747,0.0006489791,0.0005131028,0.0004561639,0.00026825513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000613705,0.00032898044,0.656862,0.0013581263,0.00013148937,0.002381022,0.0042879186,0.002710623,0.004533408,0.017056499,0.006265113,0.30347103],"study_design_scores_gemma":[0.000010873216,0.0002825166,0.94460094,0.0004234398,0.000029434217,0.00038733947,0.0023290634,0.00044311554,0.00204613,0.00090011983,0.048532568,0.0000144814185],"about_ca_topic_score_codex":0.02529058,"about_ca_topic_score_gemma":0.02762252,"teacher_disagreement_score":0.02529058,"about_ca_system_score_codex":0.001964767,"about_ca_system_score_gemma":0.00095995446,"threshold_uncertainty_score":0.05028677},"labels":[],"label_agreement":null},{"id":"W271538581","doi":"","title":"Intellectual Property Protection and Innovation","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Intellectual property; Openness to experience; Panel data; Government (linguistics); Business; Economics; Economic growth; Political science","score_opus":0.0456562660118416,"score_gpt":0.20711287963998398,"score_spread":0.1614566136281424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W271538581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72605646,0.022267506,0.0093472395,0.009925277,0.00014471599,0.00009305427,0.004577857,0.00009129125,0.22749661],"genre_scores_gemma":[0.993396,0.00246288,0.00039876782,0.00019490112,0.00013036639,0.000019002118,0.00051510334,0.0000051027946,0.0028778722],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978776,0.00049857533,0.00017646965,0.00030452717,0.0006037239,0.00053914904],"domain_scores_gemma":[0.94202954,0.031114899,0.02093187,0.0021744506,0.0020933237,0.0016559135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022837122,0.0002162183,0.00040150454,0.002712887,0.0004548589,0.0025489272,0.00035660397,0.00089535624,0.009302891],"category_scores_gemma":[0.023462307,0.000093044735,0.0006475908,0.0042187097,0.0022534174,0.0027153238,0.0013533172,0.0011694545,0.00066077954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024667985,0.00025035217,0.6163408,0.00071039866,0.00040151732,0.0009399189,0.0010214221,0.01189742,0.0010658663,0.24191476,0.0043772343,0.12083352],"study_design_scores_gemma":[0.00006559849,0.000335813,0.7577761,0.00044229248,0.00015629294,0.0012583158,0.0008429543,0.0026832677,0.0015295448,0.16138503,0.073460095,0.00006465882],"about_ca_topic_score_codex":0.0028923769,"about_ca_topic_score_gemma":0.0018570651,"teacher_disagreement_score":0.009302891,"about_ca_system_score_codex":0.0014842092,"about_ca_system_score_gemma":0.0014306095,"threshold_uncertainty_score":0.031121254},"labels":[],"label_agreement":null},{"id":"W271754794","doi":"","title":"Consistent Business Generators: Urban Leaders in Canada's Next wave/Les Generateurs Continues D'affaires : Les Chefs De Fils Dans la Prochaine Vague Au Canada","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Political science; Distribution (mathematics); Centrality; Economy; Revenue; Humanities; Geography; Economics; Finance","score_opus":0.04360199910819911,"score_gpt":0.20144450859687385,"score_spread":0.15784250948867473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W271754794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9160219,0.001093426,0.000712733,0.0112423375,0.00010525181,0.00009113182,0.0009150273,0.000050351056,0.069767855],"genre_scores_gemma":[0.9760336,0.000579335,0.00031607898,0.00035979977,0.000015585067,0.000011470138,0.00021933102,0.0000139446865,0.022450719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988661,0.000068221074,0.000011482164,0.00008039917,0.00034501107,0.0006289446],"domain_scores_gemma":[0.99797064,0.00013828822,0.0002106314,0.000047256915,0.0006480007,0.000985266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070275617,0.0001778109,0.0002079971,0.0016069143,0.010474334,0.00530521,0.00088630046,0.00054538687,0.007355464],"category_scores_gemma":[0.0018840071,0.00020130146,0.0002020098,0.0027580985,0.0034584582,0.0011051396,0.0023188894,0.0011424789,0.00038387024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023875154,0.00017813752,0.53975385,0.00019799278,0.000040503717,0.00224485,0.1312481,0.0017094753,0.00181938,0.09358538,0.060924556,0.16805905],"study_design_scores_gemma":[0.000018569679,0.000049166545,0.5674162,0.00013601859,0.000025199353,0.00022888205,0.19480635,0.0010896664,0.00059986545,0.0018788178,0.23369361,0.000057656707],"about_ca_topic_score_codex":0.98936874,"about_ca_topic_score_gemma":0.9969392,"teacher_disagreement_score":0.05336895,"about_ca_system_score_codex":0.05336895,"about_ca_system_score_gemma":0.09333184,"threshold_uncertainty_score":0.38722062},"labels":[],"label_agreement":null},{"id":"W2725160416","doi":"10.1111/joie.12132","title":"Do Multi‐Plant Firms Reduce Misallocation? Evidence from Canadian Manufacturing","year":2017,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Allocative efficiency; Productivity; Dispersion (optics); Industrial organization; Economics; Business; Microeconomics","score_opus":0.17786162400537964,"score_gpt":0.27748720766015983,"score_spread":0.09962558365478019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725160416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963519,0.003202879,0.0006999311,0.003564539,0.00002081952,0.00003813508,0.002340929,0.000034641947,0.026579283],"genre_scores_gemma":[0.99675816,0.0007459113,0.00017978811,0.00021149739,0.000007927737,0.000004629958,0.0005003086,0.0000047356516,0.0015870535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770004,0.00025646828,0.00006776486,0.0003734286,0.000869527,0.0007327607],"domain_scores_gemma":[0.98302644,0.0052010077,0.005186932,0.0011800558,0.003944469,0.001461127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019227436,0.00028151745,0.000600585,0.0016570227,0.0020404155,0.0016972648,0.0013273521,0.00082762237,0.007479073],"category_scores_gemma":[0.012668354,0.00027250618,0.00050677644,0.003921849,0.0012674007,0.00075567776,0.0011833084,0.00054233155,0.00028724188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001090186,0.0001905682,0.88962024,0.0006052489,0.00056324573,0.0007636451,0.002790808,0.0070324396,0.0019404478,0.010936823,0.00975225,0.074714184],"study_design_scores_gemma":[0.000038973696,0.000037005877,0.988586,0.00006763284,0.00010066918,0.000051693598,0.001639634,0.0010149693,0.00038962718,0.0006203805,0.0074287443,0.000024744055],"about_ca_topic_score_codex":0.9719053,"about_ca_topic_score_gemma":0.98443997,"teacher_disagreement_score":0.9835511,"about_ca_system_score_codex":0.016448908,"about_ca_system_score_gemma":0.015214383,"threshold_uncertainty_score":0.119345725},"labels":[],"label_agreement":null},{"id":"W2736962741","doi":"10.5539/ass.v13n8p121","title":"Study on the Factors Affecting the Financing of High-Tech SMEs","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Solvency; Equity financing; Business; Debt financing; Profitability index; High tech; Finance; Internal financing; Market liquidity; Tax shield; Asset (computer security); Debt; Economics; Market economy","score_opus":0.06466674199521252,"score_gpt":0.28334392300632355,"score_spread":0.21867718101111103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736962741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573493,0.00048373375,0.00014279342,0.00042756827,0.000004217736,0.0000098780265,0.000071367474,0.0000031170068,0.0031222745],"genre_scores_gemma":[0.99935883,0.00017156766,0.000031875876,0.000012632408,0.0000106014095,0.0000019929564,0.00004263942,6.481917e-7,0.00036935267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958867,0.00011988097,0.000043872114,0.000032392272,0.00008545491,0.00012983441],"domain_scores_gemma":[0.99158514,0.00280249,0.0037728932,0.00012022014,0.0007369484,0.000982306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090364646,0.00015215528,0.00019409579,0.0012673169,0.0003430046,0.0013080449,0.00020721286,0.0004604316,0.0025760185],"category_scores_gemma":[0.0059205415,0.00008622195,0.00030783698,0.0012278206,0.00032309748,0.00073301484,0.00042264987,0.0004790983,0.0002315387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005624634,0.000087660665,0.98637414,0.000041278603,0.00004044189,0.00081930525,0.00038317684,0.0006694227,0.00047406988,0.0019027067,0.00042088356,0.0087307375],"study_design_scores_gemma":[0.000006156603,0.00004555978,0.9951885,0.000041092488,0.000041630516,0.00018998202,0.0009793899,0.0012082076,0.00041793,0.0005756498,0.0013006058,0.0000053678878],"about_ca_topic_score_codex":0.004204731,"about_ca_topic_score_gemma":0.004117677,"teacher_disagreement_score":0.004204731,"about_ca_system_score_codex":0.0007817198,"about_ca_system_score_gemma":0.0011528872,"threshold_uncertainty_score":0.00861764},"labels":[],"label_agreement":null},{"id":"W2737028513","doi":"10.5430/ijfr.v8n3p172","title":"Technical Efficiency of Manufacturing Firms in Cameroon: Sources and Determinants","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Industrial organization; Production–possibility frontier; Sample (material); Production (economics); Frontier; Variable (mathematics); Business; Econometrics; Clothing; Economics; Microeconomics","score_opus":0.08715719195744481,"score_gpt":0.36827898274738335,"score_spread":0.28112179078993854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737028513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958591,0.0007455189,0.0007349648,0.00024052865,0.0000036438014,0.00002079238,0.0012045866,0.0000078496905,0.0011830167],"genre_scores_gemma":[0.9982943,0.00035941927,0.00021078231,0.000014183134,0.0000070537576,0.0000073723786,0.00071152876,0.0000024196563,0.00039301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902976,0.00021546526,0.00007693429,0.00013777894,0.00019701506,0.00034310805],"domain_scores_gemma":[0.990466,0.0036037606,0.0043983334,0.00025414533,0.0008481887,0.0004295512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012930429,0.00040508824,0.00037412255,0.003671197,0.0005091698,0.0017225738,0.00036370484,0.00036330114,0.0025961106],"category_scores_gemma":[0.004923893,0.0003247546,0.00038088957,0.0071192537,0.00048380528,0.0008898477,0.0008169813,0.00055889663,0.00028099804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057033045,0.000053016705,0.9819016,0.000069118076,0.000052337215,0.0006139483,0.0002642345,0.005514748,0.00035332557,0.0014677601,0.00041286953,0.009240117],"study_design_scores_gemma":[0.0000035065905,0.000027755676,0.9924745,0.000033501197,0.000022692531,0.00021464142,0.0006277718,0.004686972,0.00033378898,0.00035546682,0.0012093274,0.000010029802],"about_ca_topic_score_codex":0.048689652,"about_ca_topic_score_gemma":0.037478782,"teacher_disagreement_score":0.048689652,"about_ca_system_score_codex":0.0028103723,"about_ca_system_score_gemma":0.0011079874,"threshold_uncertainty_score":0.09681249},"labels":[],"label_agreement":null},{"id":"W2738302093","doi":"10.1007/s11187-017-9910-6","title":"Internationalize to live: a study of the post-internationalization survival of new ventures","year":2017,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Internationalization; New Ventures; Argument (complex analysis); Endogeneity; Entrepreneurship; Selection (genetic algorithm); Preparedness; Marketing; Counterfactual thinking; Business; Economics; Process (computing); Industrial organization; Microeconomics; Management; Finance; Psychology; Econometrics; Computer science; Social psychology","score_opus":0.05908997652743953,"score_gpt":0.25679132643698965,"score_spread":0.19770134990955013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738302093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258775,0.0002884233,0.00009636824,0.00083046104,0.000008240772,0.0000060348652,0.00006613187,0.0000020740733,0.0061144405],"genre_scores_gemma":[0.9976018,0.0003070038,0.000032498177,0.00007550701,0.000015311824,0.0000054416137,0.00010421397,0.000003392539,0.0018546914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970645,0.00007812764,0.000008943571,0.00003584778,0.000034982586,0.00013560627],"domain_scores_gemma":[0.9918643,0.0032981064,0.0021860672,0.0002589102,0.0006689329,0.001723825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446613,0.00014837256,0.00024851403,0.0007609145,0.0014304012,0.003658906,0.0006060947,0.0010696484,0.004368896],"category_scores_gemma":[0.008864502,0.00008822221,0.00020164858,0.0014970339,0.0015598364,0.0033363963,0.0012618485,0.002041684,0.00039523916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012509698,0.0025031185,0.79351234,0.0001108198,0.00012078402,0.0014268401,0.038924612,0.0017649259,0.0010187174,0.069412544,0.0063318363,0.08362248],"study_design_scores_gemma":[0.000043421744,0.0005452484,0.88309115,0.00012495193,0.0000535539,0.00033881827,0.084008954,0.0022226442,0.0004598283,0.013769969,0.015311745,0.00002983977],"about_ca_topic_score_codex":0.010318428,"about_ca_topic_score_gemma":0.017764334,"teacher_disagreement_score":0.010318428,"about_ca_system_score_codex":0.0009869194,"about_ca_system_score_gemma":0.0011688515,"threshold_uncertainty_score":0.020516753},"labels":[],"label_agreement":null},{"id":"W2742261013","doi":"10.5539/ijef.v9n9p70","title":"Credit Expansion, Free Cash Flow and Enterprise Investment: An Empirical Study Based on Listed Companies in China","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Free cash flow; Cash flow; Investment (military); Business; Empirical research; China; Robustness (evolution); Monetary economics; Operating cash flow; Open-ended investment company; Finance; Return on investment; Economics; Microeconomics","score_opus":0.038359220755292765,"score_gpt":0.2762115264257785,"score_spread":0.23785230567048574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742261013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991486,0.00013046621,0.00009721452,0.00006394952,0.0000019448994,0.000006259506,0.00028593352,0.0000028590434,0.0002627249],"genre_scores_gemma":[0.9985543,0.00016827178,0.00007285998,0.000019115987,0.000008817366,0.000007123849,0.00088833907,0.0000011209852,0.0002800594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995192,0.00006394079,0.000057352132,0.000106364765,0.00009273725,0.00016050511],"domain_scores_gemma":[0.9974619,0.0007323682,0.0009770913,0.00012820394,0.0002968182,0.00040365546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996443,0.00044316694,0.00038647474,0.002353625,0.0005892273,0.0008737218,0.0006065086,0.000518201,0.00143866],"category_scores_gemma":[0.0018189852,0.0002984853,0.00077547785,0.0026746031,0.0005900928,0.0010878412,0.0008112948,0.0005918508,0.00018090954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002058204,0.00005657376,0.9961577,0.000017067261,0.000045659242,0.0002710702,0.00022502233,0.00076531747,0.00012466499,0.00018088262,0.0002141148,0.0019213171],"study_design_scores_gemma":[0.000006967196,0.000031762655,0.9943725,0.000013401449,0.000053215066,0.000073203526,0.000502872,0.0043598,0.00012729052,0.000088370645,0.00036109833,0.000009573839],"about_ca_topic_score_codex":0.0752471,"about_ca_topic_score_gemma":0.094043165,"teacher_disagreement_score":0.0752471,"about_ca_system_score_codex":0.001477096,"about_ca_system_score_gemma":0.0012056724,"threshold_uncertainty_score":0.14961827},"labels":[],"label_agreement":null},{"id":"W2748961025","doi":"","title":"Firm age and Performance. University of Alberta, Frontiers in Finance, Banff, Canada, June 11 - 12, 2011","year":2011,"lang":"en","type":"article","venue":"Bern Open Repository and Information System (University of Bern)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Finance; Business","score_opus":0.012927780692320005,"score_gpt":0.13559794557159288,"score_spread":0.12267016487927287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748961025","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07287679,0.09900296,0.0012295443,0.023135152,0.0035632562,0.00019164593,0.61180985,0.001036375,0.1871545],"genre_scores_gemma":[0.19215173,0.04435883,0.0016994388,0.0008024243,0.00047688856,0.00006920401,0.15168713,0.0001890204,0.6085653],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99899334,0.000036924517,0.000044024728,0.000076590346,0.0006488739,0.00020021568],"domain_scores_gemma":[0.99346715,0.0005559587,0.00038072857,0.0002215149,0.0043528243,0.0010218421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015409779,0.0007833642,0.000702331,0.004129824,0.0019282813,0.0027074805,0.0014572373,0.0011719419,0.032724936],"category_scores_gemma":[0.004947899,0.00054028496,0.0005014333,0.010975213,0.00047295427,0.0010951562,0.0006171442,0.0014683366,0.01043001],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024529838,0.00010744976,0.036940705,0.00031623285,0.000039523773,0.00013272134,0.00037160143,0.00092958007,0.0001639487,0.0011161042,0.9089442,0.050692707],"study_design_scores_gemma":[0.000059443188,0.000043154585,0.78780246,0.00055807503,0.000088912,0.000074245545,0.0012631997,0.00094212353,0.00050461816,0.00060288573,0.20799758,0.00006325957],"about_ca_topic_score_codex":0.9686562,"about_ca_topic_score_gemma":0.99149334,"teacher_disagreement_score":0.9686562,"about_ca_system_score_codex":0.017634664,"about_ca_system_score_gemma":0.028380867,"threshold_uncertainty_score":0.127949},"labels":[],"label_agreement":null},{"id":"W2749809072","doi":"10.17722/ijme.v9i2.928","title":"Hindering and fostering factors SMEs performance in the Western Province of Sri Lanka","year":2017,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Likert scale; Cronbach's alpha; Government (linguistics); Exploratory factor analysis; Business; Scale (ratio); Sri lanka; Marketing; Validity; Content validity; Sample (material); Reliability (semiconductor); Test (biology); Business administration; Operations management; Socioeconomics; Economics; Statistics; Mathematics; Geography","score_opus":0.05797364398762656,"score_gpt":0.2576548404310004,"score_spread":0.19968119644337384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749809072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983057,0.00012227132,0.000022069844,0.00012870139,0.0000021133742,0.000006036656,0.000045894794,0.000003975268,0.0013632439],"genre_scores_gemma":[0.9994672,0.00012825617,0.000028737799,0.000017347704,0.0000022268043,0.0000054731368,0.00005510366,0.0000011430621,0.00029435309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992249,0.0001480837,0.00008642243,0.00006126965,0.00015486586,0.0003244495],"domain_scores_gemma":[0.9966989,0.00060917647,0.0011375945,0.00010568882,0.0006702805,0.00077846297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080765097,0.00041494856,0.00031970855,0.0008674118,0.0012435699,0.0015286613,0.0004134042,0.00028255998,0.0018809215],"category_scores_gemma":[0.0025924067,0.00016225902,0.0002816447,0.0014252003,0.0008598583,0.00048104132,0.0010440452,0.00043577736,0.0002912634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005037987,0.00008544108,0.98287636,0.00009757018,0.00003803474,0.0012379473,0.005491828,0.0002072109,0.00056857255,0.00026645232,0.0005478461,0.008532379],"study_design_scores_gemma":[0.0000035250519,0.00011626639,0.98006654,0.00007179131,0.000028822169,0.0003404021,0.01790347,0.00020521972,0.00014349892,0.000053847416,0.0010511599,0.000015460595],"about_ca_topic_score_codex":0.105891585,"about_ca_topic_score_gemma":0.15246738,"teacher_disagreement_score":0.105891585,"about_ca_system_score_codex":0.0011187914,"about_ca_system_score_gemma":0.0032202075,"threshold_uncertainty_score":0.21055043},"labels":[],"label_agreement":null},{"id":"W2753793353","doi":"10.2139/ssrn.3012418","title":"Business Value and Competitive Impacts of IT Innovation: A Stochastic Frontier Approach of Firm Capabilities","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Frontier; Industrial organization; Value (mathematics); Business; Competitive advantage; Business value; Enterprise value; Economics; Microeconomics; Marketing; Computer science; Finance; Profit (economics)","score_opus":0.020139407052966383,"score_gpt":0.22933910272404784,"score_spread":0.20919969567108146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753793353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5654856,0.004542902,0.366008,0.006810758,0.00015610339,0.00013339274,0.0007129945,0.00022009655,0.055930067],"genre_scores_gemma":[0.9884306,0.0015011854,0.0039120014,0.000105641666,0.00014415715,0.000035880606,0.000089451176,0.000032903296,0.005748055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830556,0.00080274674,0.000051277228,0.0002439846,0.00027881673,0.00031755984],"domain_scores_gemma":[0.98144263,0.015273062,0.0013541174,0.00059183163,0.0007293183,0.00060905394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004606377,0.0011569869,0.0015964988,0.0022867282,0.00069929316,0.004895321,0.0015844904,0.0032109485,0.0068486445],"category_scores_gemma":[0.01846568,0.0009529787,0.002255408,0.001981984,0.0034781515,0.00639169,0.0023572496,0.0033951325,0.0005354995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010198055,0.00018421264,0.00494006,0.00013053205,0.00020168671,0.0003251903,0.0002644772,0.58973724,0.0010862966,0.39009354,0.0012036582,0.011731199],"study_design_scores_gemma":[0.00003806152,0.00015153976,0.0054913857,0.000078195764,0.00018336523,0.0001193302,0.00025182634,0.640673,0.00026491965,0.3511936,0.0014923668,0.000062416926],"about_ca_topic_score_codex":0.006894625,"about_ca_topic_score_gemma":0.0049890704,"teacher_disagreement_score":0.006894625,"about_ca_system_score_codex":0.0027681657,"about_ca_system_score_gemma":0.0017138305,"threshold_uncertainty_score":0.024361134},"labels":[],"label_agreement":null},{"id":"W2755763803","doi":"10.1016/j.jbankfin.2017.09.006","title":"Measuring firm size in empirical corporate finance","year":2017,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":689,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Corporate finance; Business; Economics; Financial economics; Financial system; Monetary economics; Finance","score_opus":0.1443470337760693,"score_gpt":0.2728613618733194,"score_spread":0.12851432809725008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755763803","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902367,0.00035507165,0.0051037287,0.00020363842,0.000019584078,0.000023506456,0.00023871493,0.00003797157,0.0037809582],"genre_scores_gemma":[0.997962,0.000056750654,0.001519763,0.000025385401,0.00002233698,0.000012078419,0.00012908441,0.000004659506,0.00026791767],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99646807,0.002014183,0.00026482515,0.00021879862,0.0007639117,0.0002702699],"domain_scores_gemma":[0.92140484,0.060596168,0.009054818,0.0035204443,0.0039298795,0.0014939387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052214256,0.00031872495,0.00032584934,0.002789714,0.00035186787,0.0014148402,0.0005611791,0.0007534275,0.0011203036],"category_scores_gemma":[0.045740098,0.00028997887,0.0003279021,0.0028686707,0.0006671472,0.002334796,0.00095139514,0.0005776814,0.00030688843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065288266,0.00013219594,0.9660768,0.00003166536,0.00007736119,0.000051811894,0.00019096148,0.003460272,0.0010879189,0.002039638,0.00060995703,0.026176272],"study_design_scores_gemma":[0.000019300931,0.00020196757,0.95678276,0.000050856128,0.00006160714,0.00012458916,0.00062628963,0.030652232,0.0033554998,0.0064226585,0.0016787869,0.000023391465],"about_ca_topic_score_codex":0.0030106183,"about_ca_topic_score_gemma":0.0068189315,"teacher_disagreement_score":0.0052214256,"about_ca_system_score_codex":0.00066411495,"about_ca_system_score_gemma":0.0005567773,"threshold_uncertainty_score":0.027613878},"labels":[],"label_agreement":null},{"id":"W2761994603","doi":"10.1787/9789264273467-en","title":"SME and Entrepreneurship Policy in Canada","year":2017,"lang":"en","type":"book","venue":"OECD studies on SMEs and entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Business; Finance","score_opus":0.05887986532352782,"score_gpt":0.2545021357294995,"score_spread":0.19562227040597166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761994603","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35257524,0.07011088,0.0008194481,0.21447343,0.0011330231,0.0001085247,0.008751134,0.00016994448,0.35185826],"genre_scores_gemma":[0.8427794,0.030829325,0.0007220021,0.006699001,0.00021782488,0.000044160977,0.0014613644,0.000080604135,0.117166325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99699557,0.00020160018,0.00009439876,0.0001425618,0.0010347263,0.0015311496],"domain_scores_gemma":[0.9927384,0.00076431024,0.00031792535,0.000117186304,0.003658672,0.0024034923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019751452,0.00028693696,0.0005843861,0.004000052,0.009834206,0.007652255,0.0013290364,0.0019246552,0.007810936],"category_scores_gemma":[0.008370881,0.00036689022,0.00055201177,0.009294048,0.0021500916,0.0016013377,0.0019375328,0.0023419734,0.00034308343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00031013312,0.00018150179,0.072718784,0.0005296109,0.00015892768,0.0008346615,0.0064131254,0.0053223623,0.00040703802,0.5011701,0.277476,0.13447775],"study_design_scores_gemma":[0.000103023944,0.000062342304,0.27926278,0.0016503556,0.00015657076,0.00018976581,0.019638404,0.005683447,0.000706316,0.024127802,0.66820997,0.00020915351],"about_ca_topic_score_codex":0.9988931,"about_ca_topic_score_gemma":0.999488,"teacher_disagreement_score":0.78079474,"about_ca_system_score_codex":0.21920526,"about_ca_system_score_gemma":0.38910303,"threshold_uncertainty_score":0.9056112},"labels":[],"label_agreement":null},{"id":"W2763055534","doi":"10.2139/ssrn.3041558","title":"The Market for Technology: Harnessing Creative Destruction","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Creative destruction; Business; Industrial organization; Economics; Market economy","score_opus":0.018412495240914924,"score_gpt":0.24563988697665434,"score_spread":0.22722739173573941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763055534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6550457,0.010628091,0.1005807,0.011103907,0.00058502704,0.00011153662,0.0001166327,0.00063909084,0.22118932],"genre_scores_gemma":[0.98711884,0.001116479,0.0038765843,0.00021787296,0.000119920274,0.00002311364,0.0000137543375,0.000034910674,0.007478546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947935,0.00015182211,0.000020883832,0.00008143893,0.00014280756,0.00012375935],"domain_scores_gemma":[0.9954982,0.0026906799,0.00046034475,0.0007214012,0.00025335402,0.00037612577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013658577,0.00032264437,0.0003648293,0.0012882641,0.0006474029,0.005061698,0.00079576287,0.0014988747,0.010350509],"category_scores_gemma":[0.0069504534,0.00022484729,0.0005162196,0.0007999517,0.0039708456,0.005020373,0.002683464,0.0012350108,0.00093136035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034074218,0.00030041614,0.0050339056,0.00045850515,0.00010759849,0.0007420268,0.0018463366,0.008924058,0.026119165,0.77980125,0.0055540884,0.17077188],"study_design_scores_gemma":[0.00016651314,0.00031389747,0.004409599,0.00015593889,0.00007856422,0.00075273024,0.0014008915,0.039732352,0.014688295,0.90094966,0.037297025,0.000054476342],"about_ca_topic_score_codex":0.0002231477,"about_ca_topic_score_gemma":0.00022672709,"teacher_disagreement_score":0.010350509,"about_ca_system_score_codex":0.00057595974,"about_ca_system_score_gemma":0.0007496425,"threshold_uncertainty_score":0.03462583},"labels":[],"label_agreement":null},{"id":"W2768169651","doi":"10.1016/j.jclepro.2010.07.010","title":"Innovative CSR: from Risk Management to Value Creation","year":2010,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Productivity; Industrial organization; Business; Distribution (mathematics); Value (mathematics); Multifactor productivity; Production (economics); Dispersion (optics); Economics; Total factor productivity; Microeconomics; Economic growth; Macroeconomics","score_opus":0.013624713585494752,"score_gpt":0.2280032056802858,"score_spread":0.21437849209479104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768169651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7616105,0.022153845,0.117989756,0.030184224,0.00047561308,0.0000659481,0.00012424585,0.0001716047,0.067224264],"genre_scores_gemma":[0.9968562,0.0008679836,0.0009633076,0.000119133634,0.00012593753,0.0000030715898,0.0000064330407,0.000006085467,0.0010518479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987204,0.00050959823,0.00005523384,0.00016693624,0.00035138274,0.00019656583],"domain_scores_gemma":[0.981351,0.011951049,0.0035300408,0.0009811061,0.0014059354,0.00078081194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027611298,0.0003695266,0.00044273623,0.0012032189,0.000524143,0.0049338914,0.00059628394,0.0017092273,0.002445205],"category_scores_gemma":[0.013747247,0.00022393033,0.00035831245,0.000910439,0.004117845,0.0046235826,0.0013893202,0.0016948397,0.00012692183],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001382039,0.00039779235,0.052652333,0.0002529423,0.00023438179,0.00037435032,0.0011302406,0.039570462,0.0017527611,0.75495154,0.0056390744,0.14290586],"study_design_scores_gemma":[0.000016246042,0.00009962486,0.01708647,0.0001320738,0.00008282143,0.00013617752,0.0011934462,0.044065982,0.00092668465,0.93216753,0.004042847,0.000050181163],"about_ca_topic_score_codex":0.0019645754,"about_ca_topic_score_gemma":0.0020769837,"teacher_disagreement_score":0.0049338914,"about_ca_system_score_codex":0.0020569975,"about_ca_system_score_gemma":0.001276116,"threshold_uncertainty_score":0.014924645},"labels":[],"label_agreement":null},{"id":"W2770533460","doi":"","title":"Youth Employment in Sub-Saharan Africa [L’emploi des jeunes en Afrique subsaharienne - Rapport complet]","year":2014,"lang":"fr","type":"article","venue":"World Bank Publications","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonfarm payrolls; Gross domestic product; Asset (computer security); Productivity; Quarter (Canadian coin); Agriculture; Economic growth; Development economics; Political science; Economics; Geography","score_opus":0.05854973054370999,"score_gpt":0.23435289388554886,"score_spread":0.17580316334183888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770533460","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2481513,0.3838703,0.0007653554,0.2258943,0.014163591,0.00027620146,0.0014177914,0.00011065319,0.12535046],"genre_scores_gemma":[0.49970978,0.43083528,0.0013171091,0.019906383,0.004331931,0.00031437274,0.00080881204,0.00009093454,0.04268548],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993926,0.00019188928,0.000029241446,0.000030411047,0.00008964744,0.0002662915],"domain_scores_gemma":[0.99941695,0.000096293894,0.000084614265,0.000011943618,0.000104446415,0.00028573605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012266401,0.00039872932,0.0002178263,0.0009339529,0.0065488997,0.0031366348,0.00064813014,0.0012388646,0.0041975733],"category_scores_gemma":[0.0015825047,0.00028420181,0.00025802315,0.0019185259,0.0011423397,0.002208169,0.0027119906,0.0023363237,0.00060776854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004527561,0.00014962455,0.033590067,0.0020136393,0.000029798906,0.00573746,0.14808267,0.00016938828,0.00044861174,0.03134395,0.4175921,0.36079732],"study_design_scores_gemma":[0.000008076536,0.00006955066,0.054759465,0.0030079975,0.000025548417,0.0017642679,0.1436957,0.00005341827,0.00016937577,0.00194366,0.7944755,0.000027532633],"about_ca_topic_score_codex":0.06736141,"about_ca_topic_score_gemma":0.10562882,"teacher_disagreement_score":0.06736141,"about_ca_system_score_codex":0.0017484963,"about_ca_system_score_gemma":0.008162176,"threshold_uncertainty_score":0.13393867},"labels":[],"label_agreement":null},{"id":"W2771046261","doi":"10.5430/rwe.v8n2p12","title":"An Empirical Study on the Stock Price Volatility of Small and Medium Enterprise Board in China","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shantou University","keywords":"Volatility (finance); Monetary economics; China; Economics; Stock (firearms); Stock market; Offset (computer science); Capital market; Business; Financial economics; Finance","score_opus":0.17212464587496265,"score_gpt":0.3869132484663783,"score_spread":0.21478860259141566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771046261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995919,0.000029695731,0.000051003582,0.000034548455,0.0000011805179,0.0000021829778,0.0000614473,9.330601e-7,0.00022716097],"genre_scores_gemma":[0.9995572,0.00004160484,0.000025439705,0.000008150809,0.0000045722286,0.0000015631847,0.00017496523,3.7876248e-7,0.00018612524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997178,0.000026527598,0.000025474774,0.000049949733,0.00009895114,0.00008136627],"domain_scores_gemma":[0.9986749,0.00034313722,0.0004878207,0.00006930296,0.00018783941,0.00023692513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005864277,0.00018295583,0.00021586315,0.0009084179,0.00038834923,0.0006265375,0.00032620897,0.0002922648,0.0008715592],"category_scores_gemma":[0.001836713,0.00014179914,0.00030040147,0.0012895138,0.00027787857,0.0006169957,0.00032501726,0.00037023355,0.0000872225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024699537,0.000052186297,0.9947292,0.000009358004,0.000029928884,0.00022072942,0.00045147262,0.00046525983,0.0004526418,0.00031443776,0.00017774003,0.0030723803],"study_design_scores_gemma":[0.0000023390573,0.000022652475,0.99645543,0.000002527629,0.000010653586,0.000038990835,0.0003351336,0.0027662122,0.00012312068,0.000064587664,0.00017470465,0.000003627183],"about_ca_topic_score_codex":0.040677264,"about_ca_topic_score_gemma":0.042749908,"teacher_disagreement_score":0.040677264,"about_ca_system_score_codex":0.00088173046,"about_ca_system_score_gemma":0.0007890347,"threshold_uncertainty_score":0.08088094},"labels":[],"label_agreement":null},{"id":"W2771052598","doi":"","title":"Effects of Heterogeneity in Board IT Capital on Firm Innovation","year":2017,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Business; Industrial organization; Computer science","score_opus":0.024180158432513144,"score_gpt":0.24342111959183865,"score_spread":0.2192409611593255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771052598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97291404,0.0004268035,0.009378974,0.0010257405,0.000015518535,0.00008651657,0.00025531204,0.000049427657,0.015847676],"genre_scores_gemma":[0.99892837,0.000053355026,0.00021710023,0.000021083344,0.000011171147,0.000017098057,0.00003341443,0.0000014344932,0.0007169099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712974,0.0010277821,0.0001491141,0.00047497993,0.000353591,0.0008648386],"domain_scores_gemma":[0.95970446,0.025400378,0.009924498,0.0018782214,0.00092619087,0.0021662072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028069573,0.00039066866,0.00064357516,0.001572022,0.0007976704,0.0034303651,0.00066117645,0.0010941072,0.005564983],"category_scores_gemma":[0.016940147,0.00022541442,0.0007267458,0.0018058763,0.0016681962,0.0028445607,0.0023767042,0.0010553247,0.00034506447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008835723,0.0009960919,0.7414745,0.00015762552,0.0005720847,0.0015455576,0.001179473,0.11351422,0.0031383487,0.08275777,0.0009878493,0.05279294],"study_design_scores_gemma":[0.0003716772,0.001594072,0.73213077,0.00015357119,0.0008538651,0.00095905596,0.0024212003,0.12662625,0.0029151754,0.12582193,0.005994389,0.00015794745],"about_ca_topic_score_codex":0.005829776,"about_ca_topic_score_gemma":0.0047813677,"teacher_disagreement_score":0.005829776,"about_ca_system_score_codex":0.002607428,"about_ca_system_score_gemma":0.0011184616,"threshold_uncertainty_score":0.018918335},"labels":[],"label_agreement":null},{"id":"W2773032668","doi":"10.1016/j.econlet.2017.12.018","title":"Correlated shocks within firms","year":2017,"lang":"en","type":"article","venue":"Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; University of Calgary","funders":"University of Calgary","keywords":"Economics; Monetary economics; Association (psychology); Econometrics; Panel data; Cross country; Facet (psychology); Demographic economics","score_opus":0.031017928324268692,"score_gpt":0.2082684953050852,"score_spread":0.1772505669808165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773032668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90182173,0.0017677273,0.054323044,0.007067589,0.00032794575,0.00009112362,0.0016470863,0.00031239042,0.03264121],"genre_scores_gemma":[0.99226534,0.0004477079,0.0006680951,0.0001635081,0.00009683591,0.000012482849,0.00032455602,0.000011574095,0.006009847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982173,0.0003786249,0.00009984913,0.00048284323,0.00039780524,0.00042353783],"domain_scores_gemma":[0.9907548,0.0032629676,0.0028823873,0.0015463064,0.00092211505,0.0006314783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015869387,0.0003445719,0.0010513203,0.0012923416,0.00066005357,0.0056131734,0.00078502344,0.0023860808,0.008075651],"category_scores_gemma":[0.012963825,0.00062969705,0.0007221978,0.0030265583,0.0014684323,0.0043438957,0.002381187,0.002167757,0.0010290227],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003177907,0.00030946397,0.110101916,0.00012536095,0.0004850954,0.0013761485,0.0010716612,0.1331098,0.002579709,0.6962599,0.012495263,0.04176792],"study_design_scores_gemma":[0.00008867943,0.00015448086,0.16892903,0.00009353837,0.00019296873,0.0003645736,0.0016448199,0.15572773,0.001933177,0.6545813,0.01613969,0.00014996465],"about_ca_topic_score_codex":0.0056856372,"about_ca_topic_score_gemma":0.005905627,"teacher_disagreement_score":0.008075651,"about_ca_system_score_codex":0.0025340794,"about_ca_system_score_gemma":0.00091597805,"threshold_uncertainty_score":0.027015746},"labels":[],"label_agreement":null},{"id":"W2773083828","doi":"10.1177/0019793917747240","title":"Do Start-ups Pay Less?","year":2017,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Yale University","keywords":"Danish; Wage; Labour economics; Demographic economics; Business; Economics","score_opus":0.1630391964143592,"score_gpt":0.29100242744786586,"score_spread":0.12796323103350665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773083828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97249615,0.019398367,0.00016577456,0.0020103664,0.000094275514,0.000011917355,0.001975588,0.000008619539,0.0038388697],"genre_scores_gemma":[0.99112767,0.004773061,0.00005890802,0.00024221299,0.00008484357,0.0000047080885,0.0013953936,0.0000038524636,0.0023093552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951684,0.0000789307,0.000041938813,0.00009933702,0.00009614622,0.00016674705],"domain_scores_gemma":[0.99693155,0.0008061371,0.001472826,0.000083500025,0.0001869956,0.00051897566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008523916,0.00010971073,0.00044509687,0.0014273823,0.00023729565,0.0010043718,0.00041099562,0.00052811,0.0034536778],"category_scores_gemma":[0.0036297713,0.00014473136,0.00041321348,0.0017838054,0.00021667789,0.000443767,0.0003301861,0.0004986834,0.00066653267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017782781,0.00005529244,0.97272915,0.00018623135,0.00015187646,0.0002301908,0.0006637691,0.000078452365,0.00015735465,0.0007343272,0.002800858,0.022034787],"study_design_scores_gemma":[0.00001059512,0.000033476135,0.99612445,0.00004437994,0.000055897544,0.00010341225,0.00069738994,0.00004699689,0.00004245868,0.00014781339,0.0026899807,0.0000030524016],"about_ca_topic_score_codex":0.017596772,"about_ca_topic_score_gemma":0.02729086,"teacher_disagreement_score":0.017596772,"about_ca_system_score_codex":0.00050185766,"about_ca_system_score_gemma":0.0004766374,"threshold_uncertainty_score":0.0349887},"labels":[],"label_agreement":null},{"id":"W2781773099","doi":"10.5430/ijba.v9n1p64","title":"Why do Firms Live Longer than Others? The Elixir of (Eternal) Life of Blue Chip American Companies","year":2017,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Market liquidity; Dividend; Economics; Econometrics; Profitability index; Business; Sample (material); Actuarial science; Financial economics; Monetary economics; Finance","score_opus":0.040356882251274526,"score_gpt":0.2726850007687165,"score_spread":0.23232811851744195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781773099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97969496,0.0040492327,0.00020331987,0.005413147,0.000092811475,0.000006651525,0.0009021107,0.0000081607095,0.009629547],"genre_scores_gemma":[0.99393684,0.0013756647,0.00006639978,0.0007170201,0.00009017141,0.000006340054,0.00036842268,0.00000346176,0.0034356446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966896,0.00007016711,0.00001614521,0.00007075151,0.000075984535,0.000098032215],"domain_scores_gemma":[0.99650973,0.0005565234,0.001747239,0.00012639264,0.00039565575,0.0006644781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000752849,0.00008922937,0.0001235236,0.00059287297,0.0008898315,0.001219249,0.0002088112,0.00034173328,0.004149809],"category_scores_gemma":[0.0033362126,0.00006074158,0.00010653031,0.0009487713,0.00063360506,0.0011341112,0.00080461137,0.0005694206,0.00044348615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012387712,0.000057656685,0.92693204,0.00009390584,0.000048016733,0.00042601288,0.009742544,0.00009556337,0.00050752476,0.002949411,0.012112863,0.04691045],"study_design_scores_gemma":[0.0000022226748,0.00003544304,0.97175884,0.00007251738,0.000013424016,0.00019610922,0.008995453,0.00006520471,0.00016149899,0.0007294219,0.017961398,0.000008519254],"about_ca_topic_score_codex":0.009073098,"about_ca_topic_score_gemma":0.020739356,"teacher_disagreement_score":0.009073098,"about_ca_system_score_codex":0.0005751523,"about_ca_system_score_gemma":0.00045592783,"threshold_uncertainty_score":0.018040597},"labels":[],"label_agreement":null},{"id":"W2783544557","doi":"","title":"Patent Exhaustion in the United States and Canada","year":2018,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.04921220668280858,"score_gpt":0.19789364896388814,"score_spread":0.14868144228107955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783544557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93419677,0.00995922,0.0001287831,0.017202483,0.00012639462,0.00004406024,0.0064827735,0.000037086913,0.031822428],"genre_scores_gemma":[0.9838757,0.002958393,0.00006161293,0.0008477094,0.00004536823,0.000010774254,0.0022418695,0.000012949626,0.009945584],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966209,0.00009990721,0.00014128625,0.0002197729,0.0011335755,0.0017845716],"domain_scores_gemma":[0.9812444,0.0022127614,0.0022653816,0.0003639388,0.009311073,0.0046023754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023042315,0.00023976938,0.0009502908,0.0060374155,0.005361142,0.0068104626,0.0018183189,0.0020476086,0.0029231426],"category_scores_gemma":[0.013765386,0.0002590266,0.0007699295,0.012676117,0.0026994068,0.0018923889,0.002571597,0.0022851012,0.00019641267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000875878,0.00024419706,0.8156684,0.0002989395,0.00029953077,0.0013885535,0.006517982,0.004373955,0.00040773925,0.0483785,0.05094219,0.07060404],"study_design_scores_gemma":[0.000042649364,0.000030992258,0.96612877,0.00012913627,0.000100569894,0.00008236104,0.006679839,0.0011418951,0.00024105982,0.0013188703,0.02405226,0.000051532163],"about_ca_topic_score_codex":0.99774253,"about_ca_topic_score_gemma":0.9986455,"teacher_disagreement_score":0.08718648,"about_ca_system_score_codex":0.08718648,"about_ca_system_score_gemma":0.15847206,"threshold_uncertainty_score":0.63258517},"labels":[],"label_agreement":null},{"id":"W2783965113","doi":"","title":"Do industry diversity, competition and firm-relatedness drive employment growth? Evidence from Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Diversity (politics); Competition (biology); Labour economics; Business; Economics; Ecology; Political science; Biology","score_opus":0.04129462606373008,"score_gpt":0.2063532133671591,"score_spread":0.165058587303429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783965113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97332126,0.0046861717,0.00021771075,0.0043671736,0.000037105026,0.000029470775,0.0038824668,0.000013469062,0.013445134],"genre_scores_gemma":[0.994197,0.0014839415,0.00012018337,0.00025594461,0.000014106856,0.000005785705,0.001268981,0.00000576172,0.0026482414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981775,0.00018731593,0.00008787722,0.0002296801,0.0006064153,0.00071122573],"domain_scores_gemma":[0.9843285,0.004008666,0.00244528,0.0006061868,0.00594501,0.0026663828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022001383,0.00032638287,0.00072136545,0.0020585859,0.003962707,0.0025352621,0.0015028471,0.00085703545,0.0050204587],"category_scores_gemma":[0.008722158,0.00031899734,0.0007120567,0.005939208,0.0022109614,0.000978931,0.0017038642,0.0011287287,0.0003387675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045180708,0.00011510104,0.9669206,0.00014956016,0.00032195813,0.0003581407,0.002254533,0.0008827379,0.00025484266,0.003284247,0.0069109644,0.018095445],"study_design_scores_gemma":[0.000050044397,0.00003008983,0.9893345,0.00010534412,0.0001774629,0.00004023083,0.0040207184,0.00045368625,0.00014211783,0.00047067966,0.005147874,0.000027160886],"about_ca_topic_score_codex":0.995626,"about_ca_topic_score_gemma":0.9980677,"teacher_disagreement_score":0.02266143,"about_ca_system_score_codex":0.02266143,"about_ca_system_score_gemma":0.038684446,"threshold_uncertainty_score":0.16442096},"labels":[],"label_agreement":null},{"id":"W2784234729","doi":"10.1504/ijesb.2018.10010382","title":"A Comparison of the Performance of Majority Female-Owned and Majority Male-Owned Small and Medium-Sized Enterprises.","year":2018,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Small Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Entrepreneurship; Business; Debt; Small and medium-sized enterprises; Profit (economics); Finance; Female entrepreneurs; Debt financing; Debt ratio; Demographic economics; Economics","score_opus":0.04490481540190361,"score_gpt":0.2606069556037956,"score_spread":0.215702140201892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784234729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99626666,0.0001132338,0.000048921713,0.00009398887,0.0000060108687,0.0000036981455,0.0005580437,0.000003103377,0.0029062852],"genre_scores_gemma":[0.9991239,0.000033390035,0.000022756285,0.000014920208,0.000002870332,0.0000014916359,0.00026219728,0.0000012944364,0.00053728087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995167,0.000065995875,0.000020396543,0.00006151457,0.00017200995,0.00016336128],"domain_scores_gemma":[0.99710435,0.00035877115,0.00095185003,0.00011780375,0.00056063605,0.0009065464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066975696,0.00012419137,0.0001473768,0.00054253807,0.000259223,0.0006506897,0.00020634317,0.00011606566,0.0019664003],"category_scores_gemma":[0.0023270317,0.000053620544,0.00014247259,0.0006001456,0.00031034232,0.00037558537,0.0005846998,0.00014590194,0.0006025338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010687069,0.000034203626,0.9888658,0.000013023674,0.000025972451,0.00009610509,0.000761616,0.000069011694,0.00045371987,0.00019990155,0.0007055854,0.008668067],"study_design_scores_gemma":[0.0000011583528,0.000040496605,0.9978441,0.000005482246,0.000003652618,0.00004207958,0.0011857988,0.00007151564,0.00012825649,0.00003290339,0.00064208574,0.0000023918567],"about_ca_topic_score_codex":0.041200038,"about_ca_topic_score_gemma":0.09289782,"teacher_disagreement_score":0.041200038,"about_ca_system_score_codex":0.0005164428,"about_ca_system_score_gemma":0.000721085,"threshold_uncertainty_score":0.081920445},"labels":[],"label_agreement":null},{"id":"W2785701093","doi":"10.13128/bae-7677","title":"Corporate R&amp;D and the performance of food-processing firms: Evidence from Europe, Japan and North America","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Business; Food processing; Political science","score_opus":0.0707564936758063,"score_gpt":0.20445251558965732,"score_spread":0.13369602191385102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785701093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587375,0.0018186555,0.000115487106,0.00012033304,0.0000033510169,0.0000034940167,0.00037155946,0.0000034512623,0.0016899806],"genre_scores_gemma":[0.99740183,0.0012238779,0.000111642985,0.000045637033,0.000010964686,0.0000026246448,0.00092580664,0.0000017768789,0.00027595166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992072,0.00016315347,0.00009414374,0.00017036665,0.00019583495,0.00016932965],"domain_scores_gemma":[0.9884116,0.0023685964,0.006495744,0.00045984276,0.0016203824,0.00064378127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017528748,0.00023198882,0.00026451435,0.0024971673,0.0003467529,0.0010465607,0.0002436086,0.0003725338,0.0005774252],"category_scores_gemma":[0.0040217773,0.00014486334,0.00043351782,0.0040408764,0.0006512692,0.0007850519,0.0011156655,0.0003176175,0.00018122584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009006824,0.00005444857,0.9903674,0.000055946195,0.0001448587,0.000116306466,0.0003175607,0.00047159565,0.00024378244,0.00017212702,0.00033122898,0.0076345513],"study_design_scores_gemma":[0.000003285067,0.000023414608,0.99874,0.000015430587,0.00004884684,0.000028039549,0.00033666604,0.00012951798,0.00014144077,0.000029886483,0.0004992963,0.000004115877],"about_ca_topic_score_codex":0.03615517,"about_ca_topic_score_gemma":0.050170515,"teacher_disagreement_score":0.03615517,"about_ca_system_score_codex":0.0007354926,"about_ca_system_score_gemma":0.0006586635,"threshold_uncertainty_score":0.07188946},"labels":[],"label_agreement":null},{"id":"W2786330282","doi":"","title":"Fast-growth firms in the UK: definition and policy implications.","year":2017,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University","keywords":"Business; Economics","score_opus":0.06299465672924583,"score_gpt":0.29011510983771066,"score_spread":0.22712045310846485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786330282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7893028,0.057056304,0.0037188565,0.06737287,0.0008342977,0.00022216144,0.029163951,0.000072820076,0.052255876],"genre_scores_gemma":[0.97626185,0.010881513,0.0011900052,0.001793467,0.000104997416,0.00009132657,0.0057759047,0.000014492261,0.0038865132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99722135,0.000622905,0.00040758058,0.00033621935,0.00074427784,0.000667623],"domain_scores_gemma":[0.9804442,0.00687204,0.0071370667,0.00069261197,0.0030173848,0.0018366451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027299009,0.00019889296,0.00022643372,0.0040406827,0.0009301295,0.0042084977,0.00068543776,0.0010371119,0.0038164477],"category_scores_gemma":[0.0149259325,0.00018321925,0.00026746013,0.009353822,0.0012722809,0.0034414171,0.0024550415,0.0011314556,0.00047676056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037661637,0.000083297135,0.6605158,0.0018570743,0.00008219073,0.0013828271,0.012883648,0.0014591404,0.0004817327,0.13408443,0.06140233,0.12539096],"study_design_scores_gemma":[0.000022587481,0.000084334984,0.8787636,0.0018323684,0.000024916442,0.0006032115,0.01626536,0.0010102316,0.00025284223,0.0073200613,0.09375826,0.00006216112],"about_ca_topic_score_codex":0.11686749,"about_ca_topic_score_gemma":0.19025436,"teacher_disagreement_score":0.11686749,"about_ca_system_score_codex":0.0065602856,"about_ca_system_score_gemma":0.0036631708,"threshold_uncertainty_score":0.23237449},"labels":[],"label_agreement":null},{"id":"W2790819471","doi":"10.5267/j.ac.2018.1.001","title":"A study on the effect of productivity on the wage level, with emphasis on the productivity of skilled and unskilled labor","year":2018,"lang":"en","type":"article","venue":"Accounting","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Wage; Labour economics; Efficiency wage; Emphasis (telecommunications); Engineering; Economic growth","score_opus":0.03553488916144308,"score_gpt":0.23884877165337062,"score_spread":0.20331388249192756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790819471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97648937,0.0023419342,0.0019760334,0.00062114163,0.00010012755,0.000035513047,0.0015407676,0.00002549227,0.01686959],"genre_scores_gemma":[0.9951675,0.0010373195,0.0004584036,0.00005262821,0.000083520645,0.000011927637,0.0007732025,0.0000053359972,0.00241015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991177,0.00015509043,0.000055043536,0.0001344203,0.0004127191,0.00012505642],"domain_scores_gemma":[0.9942983,0.0027199972,0.0015792141,0.00025370662,0.0008506528,0.00029813085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009460272,0.0002760626,0.0002312208,0.0016865139,0.00031806808,0.0006794047,0.00035077851,0.00022194479,0.0033615334],"category_scores_gemma":[0.00610213,0.00009921061,0.0007210308,0.0036650978,0.00036879437,0.0006343264,0.00032431743,0.0006762378,0.00054974924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009719347,0.00014496541,0.94648826,0.00012829844,0.0002302144,0.00022491347,0.0004298097,0.0011072503,0.00045127986,0.0026427635,0.0012272091,0.04682786],"study_design_scores_gemma":[0.0000043915716,0.00014672906,0.9950472,0.000025016563,0.00004827885,0.00006658619,0.00039622324,0.0005189582,0.00030579302,0.00043014204,0.0030055027,0.000005261901],"about_ca_topic_score_codex":0.012269374,"about_ca_topic_score_gemma":0.013895531,"teacher_disagreement_score":0.012269374,"about_ca_system_score_codex":0.0008431652,"about_ca_system_score_gemma":0.0012988552,"threshold_uncertainty_score":0.024395943},"labels":[],"label_agreement":null},{"id":"W2791320244","doi":"","title":"Three essays on the capital structure of Canadian corporations","year":2007,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics","score_opus":0.029174517621669855,"score_gpt":0.1684113081129494,"score_spread":0.13923679049127954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791320244","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10340537,0.08221965,0.0036361273,0.22118601,0.008004433,0.00021270211,0.0042981375,0.00012681633,0.5769107],"genre_scores_gemma":[0.50598127,0.07375835,0.0038774358,0.033649262,0.004996815,0.00015774401,0.002148026,0.00011539444,0.37531573],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988098,0.00007384199,0.000028824483,0.00012978299,0.00070224924,0.00025554484],"domain_scores_gemma":[0.9937796,0.0010689679,0.00044480563,0.00023844621,0.0038681095,0.00060008286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011013357,0.000614936,0.00029664865,0.003462135,0.007986884,0.0049102516,0.0008153493,0.0014714446,0.008012494],"category_scores_gemma":[0.006254256,0.0002724407,0.00052902394,0.004616445,0.0044677714,0.0015195495,0.0012112545,0.0016287875,0.00077202194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120441546,0.00007605736,0.019429926,0.00046530523,0.000041683983,0.00031608288,0.015398797,0.0013128694,0.001788199,0.2509282,0.5925835,0.11753896],"study_design_scores_gemma":[0.000013061055,0.000023040582,0.04099452,0.0006672296,0.000034418845,0.00012170893,0.007008032,0.0003271966,0.00073142315,0.013300322,0.93670225,0.000076896846],"about_ca_topic_score_codex":0.8457085,"about_ca_topic_score_gemma":0.90111,"teacher_disagreement_score":0.15429151,"about_ca_system_score_codex":0.046837952,"about_ca_system_score_gemma":0.026119763,"threshold_uncertainty_score":0.33983475},"labels":[],"label_agreement":null},{"id":"W2793833712","doi":"10.5430/ijfr.v9n2p96","title":"Empirical Assessment of Factors Influencing Corporate Performance of China’s Independent Brand Automobile Companies","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Profit margin; China; Automotive industry; Profit (economics); Operating margin; Industrial organization; Marketing; Profitability index; Economics; Finance; Return on assets","score_opus":0.15813901119960738,"score_gpt":0.39766129342778195,"score_spread":0.23952228222817457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793833712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987835,0.000057771304,0.000026132882,0.000040070096,0.0000015558333,0.00000750074,0.00019624652,0.0000018414761,0.00088532164],"genre_scores_gemma":[0.9993788,0.000045941066,0.0000284953,0.00000713861,0.0000037231234,0.000004219696,0.00032996596,4.704353e-7,0.00020122534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922657,0.00008753416,0.00010230627,0.00010862379,0.00030104007,0.00017396081],"domain_scores_gemma":[0.994152,0.00092029414,0.002474498,0.00024986014,0.0012881946,0.00091501005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010690321,0.00030189444,0.0002094453,0.0024832084,0.00062034954,0.0010947457,0.0003496469,0.00032590746,0.0014297264],"category_scores_gemma":[0.0027335628,0.00015137067,0.00040174022,0.0026954073,0.0005260046,0.00051379536,0.00059698586,0.0003316161,0.00026915307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036297652,0.000011427311,0.9988637,0.0000028545016,0.000011107949,0.000033599164,0.00010888029,0.000053982163,0.000040007864,0.000018786066,0.00006354026,0.0007885111],"study_design_scores_gemma":[4.3233825e-7,0.000010252886,0.9992822,0.0000022931058,0.000004381261,0.000011915603,0.00033901096,0.0002028269,0.000035101755,0.000006086394,0.000103728285,0.0000017258058],"about_ca_topic_score_codex":0.029864071,"about_ca_topic_score_gemma":0.038499158,"teacher_disagreement_score":0.029864071,"about_ca_system_score_codex":0.0012015881,"about_ca_system_score_gemma":0.0010717395,"threshold_uncertainty_score":0.05938047},"labels":[],"label_agreement":null},{"id":"W2804386471","doi":"10.5539/ach.v10n2p36","title":"Researcher Mobility and Innovation: The Effect of Researcher Mobility on Organizational R&amp;D Performance in the Emerging Nations' Companies","year":2018,"lang":"en","type":"article","venue":"Asian Culture and History","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; University of Tokyo","keywords":"Knowledge production; Function (biology); Business; Quality (philosophy); Empirical research; Process (computing); Innovation process; Knowledge management; Marketing; Work in process; Computer science","score_opus":0.055869100953988435,"score_gpt":0.2804252155165095,"score_spread":0.22455611456252106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804386471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984889,0.00022863003,0.00016496917,0.00019511017,0.0000037273578,0.0000028150143,0.000039483515,0.0000027654921,0.0008735804],"genre_scores_gemma":[0.999624,0.00006163039,0.000036288664,0.000008554137,0.000006854499,0.0000025318705,0.000027625607,7.908813e-7,0.00023167394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981287,0.00083260675,0.00014024976,0.00020447656,0.000208561,0.00048535978],"domain_scores_gemma":[0.96766317,0.016503846,0.009920759,0.001011744,0.0011479781,0.003752536],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002972578,0.00017947251,0.00037486444,0.001556036,0.0007113029,0.0017017631,0.00048002854,0.0006720363,0.002405608],"category_scores_gemma":[0.013468567,0.00009455328,0.0005666945,0.0017244541,0.0011565468,0.0015890275,0.0020417133,0.0008077464,0.00043075313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014978882,0.00008078358,0.9914658,0.000011897014,0.00007563396,0.00014638525,0.0009347282,0.00080352806,0.00022638778,0.00049380434,0.000087145025,0.005524045],"study_design_scores_gemma":[0.000008880191,0.00019783252,0.99323833,0.000020675752,0.000047164656,0.00016266711,0.0038280895,0.0013156863,0.00027738404,0.00044492388,0.00044649854,0.000011815377],"about_ca_topic_score_codex":0.005883815,"about_ca_topic_score_gemma":0.0047614845,"teacher_disagreement_score":0.9970274,"about_ca_system_score_codex":0.00076601317,"about_ca_system_score_gemma":0.0009036357,"threshold_uncertainty_score":0.015720665},"labels":[],"label_agreement":null},{"id":"W2805539791","doi":"10.5267/j.ijdns.2017.1.007","title":"Determinants of SME export performance","year":2017,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Export performance; Business; Industrial organization","score_opus":0.08804595051440534,"score_gpt":0.3216152736833002,"score_spread":0.23356932316889484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805539791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360985,0.00013051102,0.00018809958,0.0002763137,0.000005399471,0.000007709317,0.00015864622,0.0000059378212,0.005617497],"genre_scores_gemma":[0.9993954,0.000057221452,0.000055617184,0.000010576469,0.0000056622343,0.000002088215,0.000072632145,0.0000011537012,0.00039965493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994948,0.00011566664,0.000054497483,0.000055718385,0.00013362565,0.00014573896],"domain_scores_gemma":[0.99411255,0.0014405674,0.0023432532,0.00021525766,0.00080241804,0.0010859346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009439115,0.00019246775,0.00017357989,0.0008182723,0.00038210698,0.0012520726,0.00014506391,0.00024245719,0.0047685397],"category_scores_gemma":[0.0044013932,0.000054978802,0.00022674762,0.0012203825,0.0003781763,0.0006261891,0.00074356823,0.00048134473,0.0005436645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026311953,0.000085511296,0.9892769,0.000028249342,0.000019387217,0.00023834397,0.00034927155,0.00021125289,0.00028810016,0.0003215041,0.0002983479,0.0088567985],"study_design_scores_gemma":[0.0000012952153,0.000049139173,0.9975489,0.0000146945895,0.000007846231,0.00011183101,0.000956234,0.0002339207,0.00013297166,0.00015425571,0.0007857579,0.000003197344],"about_ca_topic_score_codex":0.0026620075,"about_ca_topic_score_gemma":0.003161947,"teacher_disagreement_score":0.0047685397,"about_ca_system_score_codex":0.00040472025,"about_ca_system_score_gemma":0.0004976364,"threshold_uncertainty_score":0.015952408},"labels":[],"label_agreement":null},{"id":"W2808244501","doi":"10.2139/ssrn.3076971","title":"Labor Force Demographics and Corporate Innovation","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Demographics; Business; Demographic economics; Economics; Demography; Sociology","score_opus":0.02597883382773248,"score_gpt":0.21878769595932931,"score_spread":0.19280886213159684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808244501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938419,0.0006473052,0.00014106034,0.0009899049,0.000011225175,0.000007862831,0.00025504196,0.0000031623192,0.0041026026],"genre_scores_gemma":[0.9962166,0.000328968,0.000025803944,0.000074983305,0.000034205023,0.000005892743,0.00016217475,0.0000020238042,0.003149378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996438,0.00010619556,0.000015905494,0.000029763876,0.00004132766,0.00016302532],"domain_scores_gemma":[0.99546283,0.0017112535,0.0012980303,0.00015285575,0.00024663375,0.0011284401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009343855,0.000102326776,0.00016545877,0.0011240841,0.00045726213,0.0012565947,0.00017676671,0.0005891712,0.008780803],"category_scores_gemma":[0.0038603444,0.00011306077,0.00020472327,0.00086658273,0.0003106496,0.0008079689,0.0005755452,0.0005061417,0.0012423316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007339617,0.000114952854,0.98373187,0.000010867706,0.0000233105,0.00012111581,0.0007730258,0.00019387505,0.00017931845,0.0020251027,0.0010063867,0.011746731],"study_design_scores_gemma":[0.000009729343,0.000094780444,0.99015933,0.00003107893,0.000017078804,0.00011992449,0.0037910428,0.00048323994,0.00008014172,0.0022811787,0.0029261233,0.0000063788034],"about_ca_topic_score_codex":0.005228844,"about_ca_topic_score_gemma":0.011185244,"teacher_disagreement_score":0.008780803,"about_ca_system_score_codex":0.00027708916,"about_ca_system_score_gemma":0.00047139564,"threshold_uncertainty_score":0.029374719},"labels":[],"label_agreement":null},{"id":"W282008568","doi":"","title":"The role of venture capital in the development of high technology clusters : the case of Ottawa","year":2002,"lang":"en","type":"book-chapter","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Venture capital; Business; Economic geography; Finance; Geography","score_opus":0.011724666200296439,"score_gpt":0.15793384037284938,"score_spread":0.14620917417255294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282008568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50372696,0.0061638057,0.0014891757,0.01078012,0.00008193967,0.0001330984,0.00025706034,0.000060890066,0.47730696],"genre_scores_gemma":[0.92914385,0.0019006198,0.00072502595,0.00020080052,0.000010909002,0.00003138141,0.000046695335,0.000014635202,0.06792611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99937063,0.00010762627,0.00001758471,0.00005616084,0.00011269298,0.0003353154],"domain_scores_gemma":[0.9985648,0.0004319937,0.00013071095,0.00009285905,0.0002228138,0.0005568038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005173294,0.00027491193,0.00021264289,0.001301377,0.009977775,0.008294194,0.0012285735,0.0017056218,0.005757224],"category_scores_gemma":[0.0022632407,0.00034767212,0.00032816853,0.0030165408,0.0046918965,0.0027298294,0.0032886157,0.0017797431,0.00039041103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015569244,0.00009621984,0.024147252,0.00020642605,0.000040124516,0.004424642,0.055365972,0.005270952,0.0008817957,0.8292203,0.023832198,0.056358475],"study_design_scores_gemma":[0.00009289441,0.00015371345,0.08992509,0.00072548224,0.00016754882,0.0022065144,0.12906815,0.007784565,0.0023700614,0.12836373,0.6389035,0.00023877773],"about_ca_topic_score_codex":0.84008175,"about_ca_topic_score_gemma":0.9395151,"teacher_disagreement_score":0.15991825,"about_ca_system_score_codex":0.037918787,"about_ca_system_score_gemma":0.032199234,"threshold_uncertainty_score":0.32172006},"labels":[],"label_agreement":null},{"id":"W2835224305","doi":"10.5465/ambpp.2018.10768abstract","title":"Are Team-founded Ventures More Likely to be Acquired?","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"New Ventures; Marketing; Survey data collection; Mergers and acquisitions; Business; Team composition; Psychology; Statistics; Entrepreneurship; Social psychology; Mathematics; Finance","score_opus":0.056651085404262565,"score_gpt":0.27345735277842476,"score_spread":0.2168062673741622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2835224305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973941,0.00031425824,0.00022661677,0.00040986226,0.000011998251,0.000007266357,0.0001829781,0.0000034171867,0.0014494956],"genre_scores_gemma":[0.99877554,0.00023939436,0.000078708734,0.00004934856,0.000028030145,0.0000059883496,0.0002251653,0.0000017283428,0.0005961409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999086,0.00023257638,0.000079706035,0.00018193117,0.00018789165,0.00023187985],"domain_scores_gemma":[0.9646417,0.0096371425,0.02080301,0.0008828067,0.00079468515,0.0032405753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012943995,0.00010005523,0.00027952308,0.0010487764,0.0003421843,0.0013922228,0.00038436076,0.000792584,0.006130795],"category_scores_gemma":[0.014155009,0.00018498414,0.00039364368,0.0009922571,0.0005992728,0.0013678123,0.00060470647,0.0010708688,0.00068954093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049745748,0.000071327326,0.9917176,0.000015328038,0.000039683964,0.00017639964,0.00020869014,0.00016178977,0.00007715816,0.00030464656,0.0003151668,0.006862531],"study_design_scores_gemma":[0.000009599756,0.00012782816,0.994321,0.000042155825,0.000024950004,0.00073635025,0.0013442317,0.00063819246,0.00011117889,0.0014901995,0.001143368,0.000010914496],"about_ca_topic_score_codex":0.0017314975,"about_ca_topic_score_gemma":0.0022181694,"teacher_disagreement_score":0.006130795,"about_ca_system_score_codex":0.00020080304,"about_ca_system_score_gemma":0.00029853536,"threshold_uncertainty_score":0.020509541},"labels":[],"label_agreement":null},{"id":"W2883100396","doi":"10.3917/riso.005.0019","title":"Trente (30) ans de recherches sur les déterminants de la croissance des PME : synthèses et perspectives critiques pour les entreprises opérant en Afrique","year":2018,"lang":"fr","type":"article","venue":"Revue internationale des sciences de l organisation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.15649588511952675,"score_gpt":0.36028457131149083,"score_spread":0.20378868619196408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883100396","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25399336,0.17001593,0.108070746,0.11367713,0.002963875,0.0005736467,0.0023171466,0.00034677802,0.3480414],"genre_scores_gemma":[0.6997602,0.13470265,0.029864112,0.008566545,0.0014364396,0.0005895665,0.000636723,0.00020332616,0.124240406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975936,0.00087918795,0.00012575285,0.00039972618,0.00074580574,0.00025599962],"domain_scores_gemma":[0.9778496,0.016067438,0.0012727504,0.0007852645,0.003466306,0.00055874826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065084365,0.0008699247,0.001013364,0.0047764825,0.0027235097,0.005615535,0.0013780843,0.00229021,0.019697621],"category_scores_gemma":[0.023447674,0.0004394605,0.0010079752,0.0064349705,0.0036711674,0.0063984348,0.003899945,0.0027995955,0.0037524519],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036400807,0.00038839746,0.04090826,0.0027525502,0.00033076623,0.00095928146,0.03170489,0.0029508886,0.0013642599,0.5894888,0.030028915,0.29875895],"study_design_scores_gemma":[0.00008562676,0.00043483073,0.06587372,0.004494819,0.00056739664,0.0012243082,0.030281514,0.0049190097,0.0036054903,0.1759653,0.71228844,0.0002595235],"about_ca_topic_score_codex":0.02270083,"about_ca_topic_score_gemma":0.035866745,"teacher_disagreement_score":0.02270083,"about_ca_system_score_codex":0.0043814257,"about_ca_system_score_gemma":0.009651717,"threshold_uncertainty_score":0.06589514},"labels":[],"label_agreement":null},{"id":"W2883202222","doi":"10.1186/s40176-018-0122-x","title":"Correlates of business survival: empirical evidence on youth-owned micro and small enterprises in Urban Ethiopia","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; International Development Research Centre","keywords":"Small business; Business; Point (geometry); Empirical evidence; Duration (music); Hazard ratio; Industrial organization; Marketing","score_opus":0.1075126948343686,"score_gpt":0.2611861046593338,"score_spread":0.1536734098249652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883202222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996057,0.00005719301,0.000037232676,0.000016237263,0.0000011825784,0.0000014185204,0.00011548239,3.5870428e-7,0.00016521482],"genre_scores_gemma":[0.9997967,0.000035043344,0.000014204112,0.0000029022365,0.0000014412963,0.0000012287331,0.0000676562,2.4481022e-7,0.00008055778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970216,0.00009061336,0.000026687858,0.00004561047,0.000036885973,0.0000979507],"domain_scores_gemma":[0.9947588,0.0016882109,0.0020296308,0.00018483838,0.0004343852,0.0009042496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070415693,0.00012272244,0.00016188751,0.00083578326,0.00029759592,0.00051975646,0.0002563403,0.00019278532,0.0023518284],"category_scores_gemma":[0.0027865798,0.00008966301,0.00015903197,0.0006599363,0.0003639426,0.00033414442,0.0005110998,0.00031123182,0.0002283956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025142488,0.000022296732,0.9985216,0.0000044584617,0.000008165638,0.000053166434,0.0002058457,0.000048281843,0.000043229073,0.00005011084,0.00003460417,0.0009831163],"study_design_scores_gemma":[7.4504163e-7,0.000037771457,0.9975344,0.000009090291,0.0000067302326,0.000071040384,0.0019259606,0.00015338667,0.00006408624,0.000039651215,0.0001551468,0.0000018754474],"about_ca_topic_score_codex":0.0035077645,"about_ca_topic_score_gemma":0.0050453735,"teacher_disagreement_score":0.0035077645,"about_ca_system_score_codex":0.0001978036,"about_ca_system_score_gemma":0.00027975664,"threshold_uncertainty_score":0.007867634},"labels":[],"label_agreement":null},{"id":"W2884732929","doi":"10.1515/jbnst-2018-0015","title":"Studying Firm Growth Distributions with a Large Administrative Employment Database","year":2018,"lang":"en","type":"article","venue":"Jahrbücher für Nationalökonomie und Statistik","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University; Statistics Canada","funders":"","keywords":"Distribution (mathematics); Annual growth %; Economics; Growth rate; Demographic economics; Econometrics; Labour economics; Database; Agricultural economics; Mathematics","score_opus":0.0747634164078612,"score_gpt":0.32655405659159,"score_spread":0.25179064018372876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884732929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9177589,0.0003915268,0.0027212708,0.00030585335,0.000010042192,0.000072786825,0.07436289,0.00016615071,0.004210526],"genre_scores_gemma":[0.9305877,0.00024508973,0.0028807675,0.00004598078,0.000017022288,0.000045698896,0.0650816,0.000016100032,0.0010801147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984876,0.00024012572,0.000095655254,0.00023071092,0.000701851,0.00024401511],"domain_scores_gemma":[0.98919755,0.0030983975,0.0018982558,0.0010962128,0.004060661,0.0006489391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016125168,0.00018155325,0.00031620348,0.0059372573,0.0008354954,0.0014378293,0.0006604503,0.00027900416,0.001560855],"category_scores_gemma":[0.009864781,0.00016425138,0.00022334608,0.012334497,0.00033229208,0.00047672304,0.00065980916,0.00037477812,0.00051240076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013252535,0.00013696472,0.9418272,0.000059914488,0.0001236413,0.00016691249,0.00032164785,0.015154442,0.00048883504,0.0017242631,0.012079288,0.027784282],"study_design_scores_gemma":[0.000015659902,0.000022904302,0.95750135,0.000023300365,0.000023098279,0.000071826806,0.0005432962,0.03090776,0.000645386,0.00037193648,0.009852283,0.000021194797],"about_ca_topic_score_codex":0.8666572,"about_ca_topic_score_gemma":0.8507666,"teacher_disagreement_score":0.8666572,"about_ca_system_score_codex":0.0062490418,"about_ca_system_score_gemma":0.005792555,"threshold_uncertainty_score":0.26825613},"labels":[],"label_agreement":null},{"id":"W2885931420","doi":"10.1007/s11698-018-0176-2","title":"The impact of labour policies on Canadian gold mines in World War II","year":2018,"lang":"en","type":"article","venue":"Cliometrica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Order (exchange); Economics; Government (linguistics); Gold mining; World War II; Spanish Civil War; Economic policy; Finance; Political science; Law","score_opus":0.041673585715165065,"score_gpt":0.2825223120892906,"score_spread":0.24084872637412552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885931420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94610333,0.0020648825,0.00015709808,0.015824426,0.0001212864,0.000027699489,0.0034202284,0.000025298745,0.03225587],"genre_scores_gemma":[0.98919684,0.0008107703,0.00004790171,0.00037854584,0.00003137567,0.000005327394,0.0005767746,0.000007220437,0.008945332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967805,0.00016510539,0.00006715683,0.000120529934,0.0007533452,0.0021133055],"domain_scores_gemma":[0.9939857,0.0006072955,0.0008973135,0.00013099478,0.002713526,0.001665185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013841987,0.00031294563,0.0004623911,0.0027410553,0.004443692,0.004990803,0.0012997438,0.0020564436,0.00465488],"category_scores_gemma":[0.009371995,0.00022422857,0.0004675381,0.0040540127,0.002623026,0.00088096084,0.0016956467,0.002047136,0.0003933599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015748293,0.00032478143,0.751575,0.00029116136,0.00031053254,0.001504579,0.0065855556,0.025922062,0.002118653,0.09546911,0.046744328,0.0675794],"study_design_scores_gemma":[0.000028609751,0.000056759032,0.9351329,0.00010338575,0.000062469,0.000067186425,0.011988372,0.003187872,0.0007350371,0.0021245345,0.04644227,0.000070499394],"about_ca_topic_score_codex":0.99389875,"about_ca_topic_score_gemma":0.99764246,"teacher_disagreement_score":0.09393704,"about_ca_system_score_codex":0.09393704,"about_ca_system_score_gemma":0.09016787,"threshold_uncertainty_score":0.6815641},"labels":[],"label_agreement":null},{"id":"W2887197728","doi":"10.1111/ecot.12190","title":"Ownership transformation, firm performance and manufacturing growth in China","year":2018,"lang":"en","type":"article","venue":"Economics of Transition and Institutional Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"National Natural Science Foundation of China","keywords":"China; Business; Manufacturing sector; Industrial organization; Sustainable development; Production (economics); Manufacturing; Economics; Labour economics; Marketing; Microeconomics; Political science","score_opus":0.04095768836029524,"score_gpt":0.2046357146072763,"score_spread":0.16367802624698108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887197728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975107,0.00019892008,0.00014864067,0.0002646791,0.000004151765,0.000006235903,0.00027423288,0.000008033293,0.0015843759],"genre_scores_gemma":[0.9996909,0.00003724817,0.000012934977,0.000005614116,0.0000038395,0.0000013680514,0.0001239689,3.9474236e-7,0.00012382852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994779,0.00010467956,0.000043220818,0.00007146979,0.00011891377,0.00018376933],"domain_scores_gemma":[0.9942781,0.0010566319,0.003043249,0.00020772748,0.00072917086,0.00068508636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012469657,0.00021139703,0.00023117028,0.0016411414,0.00047168622,0.0010416519,0.00026219882,0.00022857553,0.001991826],"category_scores_gemma":[0.0034496887,0.00006980157,0.00022069829,0.0023638997,0.000754676,0.0008543904,0.00090934965,0.00038978274,0.00014305348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040722756,0.000039670987,0.9874746,0.000022320017,0.000039255578,0.00018773762,0.00026558776,0.0027520128,0.00019457965,0.0017693547,0.00051236164,0.0067017656],"study_design_scores_gemma":[0.000006696939,0.00003777276,0.99137187,0.000011117792,0.000018665321,0.00002884756,0.00053020293,0.0062803966,0.00026856118,0.00072598254,0.0007123076,0.0000077014365],"about_ca_topic_score_codex":0.038267735,"about_ca_topic_score_gemma":0.025903923,"teacher_disagreement_score":0.038267735,"about_ca_system_score_codex":0.0017439481,"about_ca_system_score_gemma":0.0011923896,"threshold_uncertainty_score":0.07608998},"labels":[],"label_agreement":null},{"id":"W2891606534","doi":"10.3386/w22548","title":"Does Organizational Form Drive Competition? Evidence from Coffee Retailing","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"DePaul University","keywords":"Competition (biology); Business; Industrial organization; Biology","score_opus":0.26031116752966466,"score_gpt":0.42278869536671654,"score_spread":0.16247752783705188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891606534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992255,0.0004903274,0.00012485463,0.00051243516,0.0000069795765,0.000007863959,0.00012770802,0.000003197394,0.0064716376],"genre_scores_gemma":[0.9989052,0.00022237764,0.000056738023,0.00009650763,0.000016927032,0.0000028279978,0.00015097464,0.000003215602,0.0005452315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998287,0.00053454144,0.00008958695,0.00034128208,0.00036161434,0.00038584776],"domain_scores_gemma":[0.9757764,0.008698836,0.00897198,0.0015489238,0.0011623595,0.0038415098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015761384,0.00018665972,0.00048245591,0.0013138915,0.00097281777,0.0019831934,0.00088846975,0.0008739375,0.009468752],"category_scores_gemma":[0.011898827,0.00030487913,0.00058758864,0.0016918321,0.0021031199,0.0011093298,0.0016089603,0.00064026174,0.0007090752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005576631,0.00034065536,0.97745,0.00012910066,0.0001736163,0.00044309493,0.00282582,0.0002585955,0.0007296961,0.0020166626,0.00074095605,0.014334148],"study_design_scores_gemma":[0.00001941402,0.00012846595,0.99525815,0.000032692544,0.000038896327,0.000100107325,0.0023179813,0.00019384928,0.00011039797,0.0005863102,0.0012030844,0.0000107499445],"about_ca_topic_score_codex":0.019393418,"about_ca_topic_score_gemma":0.02772054,"teacher_disagreement_score":0.019393418,"about_ca_system_score_codex":0.0005815232,"about_ca_system_score_gemma":0.00057344115,"threshold_uncertainty_score":0.038561046},"labels":[],"label_agreement":null},{"id":"W2892876642","doi":"10.5539/ibr.v11n10p129","title":"Innovation Propensity in the Specialized Suppliers Industry","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Workforce; Propensity score matching; Business; Industrial organization; On demand; High tech; Economics; Marketing; Commerce; Microeconomics; Economic growth","score_opus":0.21539352261483705,"score_gpt":0.37072605644307666,"score_spread":0.1553325338282396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892876642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816436,0.00012631342,0.00015485958,0.00006974985,0.0000021049998,0.000006086797,0.00014492127,0.0000037399736,0.0013279011],"genre_scores_gemma":[0.9989774,0.000061229475,0.000037906557,0.0000142924,0.000005066214,0.0000032017883,0.00017680996,0.0000014564977,0.0007226474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993105,0.00014042278,0.00005915999,0.00014781911,0.0001541131,0.00018787365],"domain_scores_gemma":[0.98728764,0.005274263,0.004279046,0.0004032893,0.0006406271,0.002115202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014307083,0.00012150283,0.0003073669,0.001556007,0.0002870004,0.0011387352,0.00027049566,0.00045704792,0.0069401306],"category_scores_gemma":[0.006614058,0.00011974214,0.00053396483,0.0015003498,0.0003914282,0.0007922608,0.001414154,0.00058088783,0.00063391007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060169048,0.00005774411,0.9937738,0.000019878713,0.00003880951,0.0001202395,0.00039257834,0.0005470297,0.00050391996,0.00032107532,0.00016283708,0.004001844],"study_design_scores_gemma":[0.0000038980356,0.00007665724,0.9979425,0.000009356593,0.000013467764,0.000053788965,0.0006630093,0.00044606935,0.00017278864,0.00014979488,0.00046430342,0.0000044353646],"about_ca_topic_score_codex":0.003936056,"about_ca_topic_score_gemma":0.0068673124,"teacher_disagreement_score":0.0069401306,"about_ca_system_score_codex":0.00042993348,"about_ca_system_score_gemma":0.0004939312,"threshold_uncertainty_score":0.023217022},"labels":[],"label_agreement":null},{"id":"W2897643295","doi":"10.1111/caje.12359","title":"Foreign R&amp;D satellites as a medium for the international diffusion of knowledge","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multinational corporation; Trademark; Business; Satellite; Knowledge flow; Absorptive capacity; Diffusion; International trade; Host (biology); Industrial organization; Knowledge management; Political science; Engineering; Computer science; Finance","score_opus":0.17442115494418536,"score_gpt":0.2113373349561852,"score_spread":0.03691618001199984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897643295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98510265,0.00042211177,0.0008120146,0.00024547213,0.000008955506,0.000012999007,0.00009819134,0.000016238302,0.013281382],"genre_scores_gemma":[0.9991738,0.0001323883,0.00018037326,0.000012536072,0.0000079340925,0.0000037657062,0.000028506687,0.0000020602297,0.00045848906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871397,0.0005764791,0.00006735387,0.00015737631,0.00031590665,0.00016897947],"domain_scores_gemma":[0.96197504,0.02435934,0.009714694,0.0015583213,0.0013214338,0.0010711978],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002182332,0.00015174366,0.00032585528,0.0018880484,0.0004769353,0.002393592,0.00027129505,0.00057456107,0.004659319],"category_scores_gemma":[0.012702659,0.000107834334,0.00041202403,0.0019239574,0.0012418311,0.0018127925,0.0014602427,0.00058290723,0.0003868492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010696155,0.00043875337,0.8754106,0.00030295775,0.00032961075,0.0006163072,0.0049148807,0.009680564,0.0102126775,0.026036354,0.0014677342,0.069519825],"study_design_scores_gemma":[0.00011833113,0.00096586195,0.9428345,0.00021386414,0.0004162615,0.0005020696,0.009183055,0.014200948,0.011886958,0.0077686124,0.011834525,0.00007509228],"about_ca_topic_score_codex":0.0045258272,"about_ca_topic_score_gemma":0.0030606452,"teacher_disagreement_score":0.99811196,"about_ca_system_score_codex":0.00086633925,"about_ca_system_score_gemma":0.00053156185,"threshold_uncertainty_score":0.015586972},"labels":[],"label_agreement":null},{"id":"W2901236995","doi":"10.5465/ambpp.2012.12354abstract","title":"Pre-Entry Capabilities, the Boundaries of New Firms, and Survival in the Early U.S. Auto Industry","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inheritance (genetic algorithm); Endowment; Differential (mechanical device); Transaction cost; Industrial organization; Database transaction; Business; Differential effects; Knowledge management; Marketing; Computer science; Political science; Engineering; Finance; Biology; Database","score_opus":0.03665496659627141,"score_gpt":0.24535308636954872,"score_spread":0.20869811977327732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901236995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912804,0.00008986891,0.000019095804,0.0000641535,0.0000010679262,7.433375e-7,0.000023165276,8.6201203e-7,0.0006729834],"genre_scores_gemma":[0.9995239,0.000056608485,0.000012916929,0.000012369848,0.0000023151158,6.691721e-7,0.00006347339,4.3713496e-7,0.000327475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977213,0.00004120969,0.000018967552,0.000029771074,0.00003497521,0.00010299786],"domain_scores_gemma":[0.9894872,0.0028369455,0.0041787657,0.00023918712,0.00059407105,0.0026640012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008173691,0.00012432359,0.00018535437,0.0010514415,0.0007234783,0.0016556641,0.0002225778,0.00049896043,0.0028624784],"category_scores_gemma":[0.004762992,0.00011901859,0.00012776941,0.0007037011,0.000839868,0.0010140346,0.0008948322,0.0008303203,0.00034099372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001430567,0.00015629138,0.988128,0.000008768159,0.000013985045,0.00021845708,0.0008582949,0.00042749758,0.00026644566,0.0008307268,0.00033877025,0.00860972],"study_design_scores_gemma":[0.0000058434744,0.00008083694,0.9963534,0.000025722935,0.000007524021,0.00008389927,0.0018903351,0.0004953656,0.00013510657,0.0004701536,0.00044494128,0.0000068988943],"about_ca_topic_score_codex":0.016601544,"about_ca_topic_score_gemma":0.049621034,"teacher_disagreement_score":0.016601544,"about_ca_system_score_codex":0.00061384856,"about_ca_system_score_gemma":0.00051707873,"threshold_uncertainty_score":0.033009827},"labels":[],"label_agreement":null},{"id":"W2901548573","doi":"10.5465/ambpp.2012.18013abstract","title":"Feast in Time of Plague: Capabilities and Firm Performance in a Context of Sector Decline","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Dynamic capabilities; Relevance (law); Context (archaeology); Manufacturing sector; Competitive advantage; Industrial organization; Business; Plague (disease); Economics; Marketing; Labour economics; Political science; Geography","score_opus":0.028992250844826043,"score_gpt":0.2221687516567266,"score_spread":0.19317650081190055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901548573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972036,0.00012750461,0.00010403636,0.0002854553,0.0000015176835,0.0000040793184,0.000056377303,0.0000015365404,0.0022160246],"genre_scores_gemma":[0.9997546,0.00002803922,0.000024343151,0.000011154327,0.0000018039359,0.0000014692732,0.000029218832,6.2469127e-7,0.00014881628],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904865,0.00026009756,0.000056740977,0.00008787586,0.00018039419,0.00036628387],"domain_scores_gemma":[0.9867582,0.0040075905,0.004044658,0.0005930567,0.0021339834,0.0024625596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029091353,0.00019712429,0.00039213317,0.002414647,0.0013491792,0.0037811603,0.00066057494,0.00088362204,0.001904943],"category_scores_gemma":[0.016830295,0.00008784989,0.000241233,0.0025385343,0.0033479566,0.0027107128,0.002356589,0.0013745944,0.00019173947],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023274723,0.0001360703,0.97965264,0.000030425997,0.0000379601,0.00031376304,0.0042646714,0.0027292254,0.0004219346,0.003310555,0.00017382872,0.008696175],"study_design_scores_gemma":[0.000005369432,0.00010446044,0.98937595,0.000028905606,0.00001211504,0.00005832982,0.006090649,0.0015849649,0.00020185264,0.0015808317,0.00094515446,0.000011349563],"about_ca_topic_score_codex":0.15183944,"about_ca_topic_score_gemma":0.15671527,"teacher_disagreement_score":0.15183944,"about_ca_system_score_codex":0.0057169744,"about_ca_system_score_gemma":0.003753541,"threshold_uncertainty_score":0.30191123},"labels":[],"label_agreement":null},{"id":"W2901662702","doi":"","title":"Why We Care About Certified B Corporations: From Valuing Growth to Certifying Values","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Alberta","funders":"","keywords":"Certification; Business; Accounting; Actuarial science; Economics; Management","score_opus":0.03859097584226568,"score_gpt":0.2452953959331,"score_spread":0.20670442009083434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901662702","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003110485,0.0035746263,0.00027463547,0.98889637,0.0047169053,0.0000016678641,0.000011106096,0.000008789266,0.0022047986],"genre_scores_gemma":[0.038489226,0.0051316544,0.00077970163,0.9270727,0.023447411,0.000016475167,0.000018374505,0.000084295876,0.0049600736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9809372,0.008468263,0.001241647,0.001898034,0.005961063,0.0014938266],"domain_scores_gemma":[0.8647495,0.10326359,0.0047862227,0.0025817815,0.020444581,0.004174431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023209993,0.00055355876,0.0011785844,0.0016971073,0.007490696,0.012420012,0.0032369292,0.04032045,0.004021095],"category_scores_gemma":[0.11653898,0.0005117318,0.00085188175,0.0017329976,0.032475293,0.019416135,0.004038248,0.05241644,0.001702669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045604116,0.000017013894,0.00046592156,0.00017661772,0.000023093415,0.00025896434,0.0054047415,0.00012857522,0.0001733728,0.27238968,0.7049294,0.015986944],"study_design_scores_gemma":[0.000057155008,0.000043995373,0.0009639639,0.0012698775,0.00002368405,0.0002517172,0.0058974116,0.00031035443,0.00036898264,0.20861697,0.7820879,0.00010792708],"about_ca_topic_score_codex":0.02330813,"about_ca_topic_score_gemma":0.02814564,"teacher_disagreement_score":0.04032045,"about_ca_system_score_codex":0.008713806,"about_ca_system_score_gemma":0.010688427,"threshold_uncertainty_score":0.1227476},"labels":[],"label_agreement":null},{"id":"W2901815151","doi":"10.1093/qje/qjab002","title":"The Micro-Level Anatomy of the Labor Share Decline*","year":2021,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"National Science Foundation","keywords":"Wage share; Labour economics; Market share; Economics; Productivity; Revenue; Distribution (mathematics); Product (mathematics); Value (mathematics); Demographic economics; Wage; Efficiency wage","score_opus":0.03598567071663252,"score_gpt":0.2401187731371922,"score_spread":0.20413310242055968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901815151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97506297,0.0005699716,0.0012108051,0.0019673558,0.000020241427,0.000010745158,0.0021517214,0.00004778252,0.018958448],"genre_scores_gemma":[0.99824893,0.00009240976,0.00010681555,0.00007784058,0.000018223707,0.0000060164384,0.00034584876,0.000004672341,0.0010993016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998203,0.000024357756,0.000008811318,0.0000428313,0.00004648593,0.000057252113],"domain_scores_gemma":[0.9985703,0.00036564516,0.0005836326,0.00010855482,0.00023134523,0.00014050076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026704758,0.00005815191,0.00011377999,0.0008342134,0.00025224927,0.00068356784,0.00021420307,0.0002078833,0.00470393],"category_scores_gemma":[0.0018781088,0.00007997521,0.00008108254,0.0011145142,0.00043804498,0.0004401749,0.00047904556,0.00043075497,0.00073435274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001685211,0.000078478035,0.91301495,0.000058726007,0.00003519747,0.00029054092,0.0021916116,0.0015968143,0.004364126,0.017745327,0.007070673,0.053385098],"study_design_scores_gemma":[0.0000018016368,0.000026086787,0.98968935,0.000010918881,0.0000032438495,0.000047895865,0.0008965376,0.00069166237,0.00056227966,0.0024135492,0.0056510335,0.0000056348717],"about_ca_topic_score_codex":0.007267968,"about_ca_topic_score_gemma":0.009151121,"teacher_disagreement_score":0.007267968,"about_ca_system_score_codex":0.00054580363,"about_ca_system_score_gemma":0.00019130686,"threshold_uncertainty_score":0.015736222},"labels":[],"label_agreement":null},{"id":"W2902266466","doi":"10.2139/ssrn.3112901","title":"Economies Before Scale: Survival and Performance of Young Plants in the Age of Cloud Computing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Economies of scale; Scale (ratio); Economics; Business; Computer science; Geography; Operating system; Microeconomics; Cartography","score_opus":0.01768427529289127,"score_gpt":0.22355248910781692,"score_spread":0.20586821381492565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902266466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945062,0.0005530334,0.00032717307,0.0011329995,0.000011235592,0.000006058096,0.00022332063,0.000007334408,0.003232657],"genre_scores_gemma":[0.9992261,0.00009430349,0.000020189776,0.000026882286,0.000011527038,0.0000012603541,0.0000473738,0.0000016955844,0.00057069043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968386,0.000059640122,0.0000114807435,0.00004705888,0.000039919505,0.0001581083],"domain_scores_gemma":[0.9885062,0.0044569056,0.0030650874,0.00039110827,0.0007359209,0.002844722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018986714,0.00012986553,0.00019230212,0.0005266056,0.0004879092,0.0016692637,0.0004281862,0.0011919184,0.0057424465],"category_scores_gemma":[0.011149396,0.00008415142,0.0002093353,0.000601916,0.0009366513,0.0021569845,0.00090935227,0.0013010473,0.0008862012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010255639,0.0005359325,0.9200443,0.000055967488,0.000082777326,0.0010547156,0.0021478944,0.007179463,0.0017538413,0.01931214,0.003174201,0.04363315],"study_design_scores_gemma":[0.000045206023,0.0005481485,0.96158415,0.000048817776,0.000049962262,0.00030495814,0.0040180488,0.007748456,0.0010768634,0.021546463,0.0029924142,0.000036587764],"about_ca_topic_score_codex":0.005380537,"about_ca_topic_score_gemma":0.0062766797,"teacher_disagreement_score":0.0057424465,"about_ca_system_score_codex":0.0006181405,"about_ca_system_score_gemma":0.0005868708,"threshold_uncertainty_score":0.019210458},"labels":[],"label_agreement":null},{"id":"W2902623349","doi":"10.22215/cmcrp/2018.1","title":"Growth of the Network Media Economy in Canada, 1984-2017","year":2018,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Newspaper; The Internet; Business; Advertising; Market share; Market concentration; Index (typography); Telecommunications; Market structure; Marketing; Industrial organization; Engineering; Computer science","score_opus":0.048079150228683754,"score_gpt":0.21068805474703242,"score_spread":0.16260890451834867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902623349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47371548,0.009678023,0.0013020195,0.009685799,0.0002017316,0.00032078952,0.37028718,0.0004677979,0.1343411],"genre_scores_gemma":[0.72743493,0.011817538,0.0019915458,0.0004912749,0.00011094457,0.00012955145,0.10650939,0.00010672029,0.15140818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831104,0.00002992049,0.00005688551,0.0000798916,0.0010574319,0.00046486928],"domain_scores_gemma":[0.9941683,0.0002349703,0.0004638888,0.00008246833,0.0044029234,0.00064750353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073537655,0.0005468915,0.00037881752,0.0068878797,0.002726879,0.0037928969,0.0009111059,0.00039783513,0.005377032],"category_scores_gemma":[0.0035958486,0.00030637273,0.0004674753,0.013738515,0.0010114113,0.001309057,0.0012777215,0.0009683039,0.0009666585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033926038,0.00022169854,0.5370553,0.00071503874,0.00017778458,0.0007768829,0.004157062,0.009969704,0.00074711465,0.051292706,0.23933093,0.1552165],"study_design_scores_gemma":[0.000019006991,0.00004027389,0.7724654,0.00022193247,0.00004195361,0.00014038935,0.004001484,0.004639112,0.0012899345,0.0010106233,0.21606408,0.000065764165],"about_ca_topic_score_codex":0.9978301,"about_ca_topic_score_gemma":0.9984926,"teacher_disagreement_score":0.10493907,"about_ca_system_score_codex":0.10493907,"about_ca_system_score_gemma":0.11754693,"threshold_uncertainty_score":0.76138985},"labels":[],"label_agreement":null},{"id":"W2904677510","doi":"10.4324/9781315209289-3","title":"Innovation and Organizational Survival Research","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Knowledge management; Computer science","score_opus":0.17271780881817314,"score_gpt":0.3026591785102233,"score_spread":0.12994136969205014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904677510","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020086642,0.31189284,0.014414431,0.049187414,0.0022476774,0.00008354735,0.00022750301,0.00009478528,0.6017651],"genre_scores_gemma":[0.45685884,0.39863354,0.008926615,0.0068284045,0.0033481354,0.00024026884,0.00046100546,0.0001032619,0.124599926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897975,0.00035239043,0.000041276577,0.00015651717,0.00026219117,0.00020774109],"domain_scores_gemma":[0.9967303,0.0021044628,0.00023375996,0.00016356626,0.0004751883,0.00029275028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00250062,0.00046482607,0.00046946426,0.0026746541,0.0022555871,0.0041352226,0.00067167426,0.0016438109,0.010795424],"category_scores_gemma":[0.0027666746,0.00016310878,0.00037240295,0.0037404383,0.006662888,0.0038148672,0.002587412,0.002323251,0.0017788174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055188443,0.00003190286,0.0008101956,0.00023497493,0.0000062024424,0.000045691373,0.0021529596,0.00038811823,0.000065026055,0.91719824,0.015917072,0.06314404],"study_design_scores_gemma":[0.0000050013427,0.00004510146,0.0025419912,0.0011946447,0.000008442217,0.00019349591,0.002703159,0.00032893862,0.00016617261,0.4786906,0.5141038,0.00001858217],"about_ca_topic_score_codex":0.002829326,"about_ca_topic_score_gemma":0.0029848379,"teacher_disagreement_score":0.010795424,"about_ca_system_score_codex":0.005340454,"about_ca_system_score_gemma":0.003602057,"threshold_uncertainty_score":0.038747907},"labels":[],"label_agreement":null},{"id":"W2905057159","doi":"10.22215/cmcrp/2018.2","title":"Media and Internet Concentration in Canada 1984 – 2017","year":2018,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Newspaper; The Internet; Competition (biology); Advertising; Business; Index (typography); Market concentration; Computer science; World Wide Web; Industrial organization; Market structure","score_opus":0.0621543431646983,"score_gpt":0.23081766660276876,"score_spread":0.16866332343807044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905057159","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8004632,0.008253674,0.00062543637,0.007004258,0.00014468934,0.00017801253,0.0690167,0.00016096285,0.11415303],"genre_scores_gemma":[0.9346928,0.0043253293,0.00047345582,0.00037284355,0.000116800926,0.000053112726,0.019738726,0.000053549513,0.040173363],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831784,0.000044950262,0.000053118634,0.0001153688,0.00081224716,0.0006565118],"domain_scores_gemma":[0.99261296,0.0005037628,0.0010357179,0.00012810265,0.004703905,0.0010154877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008903527,0.00033854425,0.00043044283,0.007853307,0.0031996397,0.003574972,0.0010994452,0.00042073158,0.006499375],"category_scores_gemma":[0.0048142374,0.000260566,0.00049682544,0.014576584,0.0016925691,0.0014139129,0.0015723131,0.0012526816,0.0007017182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000371516,0.00022769869,0.78484774,0.00038610262,0.0002027368,0.0006969274,0.0076275696,0.0032405702,0.0005735645,0.033172835,0.075888276,0.09276448],"study_design_scores_gemma":[0.00001493699,0.000023147884,0.9133244,0.00014429136,0.00003783333,0.00008276132,0.0051493095,0.0012252092,0.0006239195,0.0005012526,0.07883715,0.000035803834],"about_ca_topic_score_codex":0.99576604,"about_ca_topic_score_gemma":0.9967739,"teacher_disagreement_score":0.9274974,"about_ca_system_score_codex":0.07250262,"about_ca_system_score_gemma":0.058314137,"threshold_uncertainty_score":0.5260458},"labels":[],"label_agreement":null},{"id":"W2905441594","doi":"10.1257/mac.20170170","title":"Barriers to Reallocation and Economic Growth: The Effects of Firing Costs","year":2019,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Endogenous growth theory; Economics; Aggregate (composite); Growth model; Total factor productivity; Monetary economics; Econometrics; Microeconomics; Macroeconomics; Human capital; Market economy","score_opus":0.004209898306308526,"score_gpt":0.20073328324660242,"score_spread":0.1965233849402939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905441594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9534619,0.0013304158,0.015194586,0.0016679039,0.00005192233,0.00002869946,0.00019925895,0.000051805997,0.028013445],"genre_scores_gemma":[0.9973029,0.00038305533,0.0005115838,0.000056626,0.000020866597,0.00000805566,0.00003448782,0.0000083055265,0.001674081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994004,0.00015712234,0.00003646995,0.00009154942,0.00009782789,0.00021668743],"domain_scores_gemma":[0.9890921,0.0052339733,0.0039159115,0.00058950495,0.0005345973,0.00063397095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015849182,0.00046529443,0.00061492104,0.0007927589,0.0005593347,0.0029855515,0.00069337245,0.0012167223,0.007999551],"category_scores_gemma":[0.010409709,0.0002522293,0.0006659628,0.0009622057,0.001515927,0.0030098886,0.0014773407,0.0015798234,0.0005587382],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007810701,0.00052033935,0.1356732,0.00046914376,0.00027606604,0.0009662895,0.00092725054,0.36140937,0.00950366,0.4312737,0.0026228775,0.055577148],"study_design_scores_gemma":[0.0002730068,0.00042760852,0.21167174,0.0003359082,0.00031850618,0.00066966045,0.0029685085,0.24435584,0.009116953,0.51859576,0.011093988,0.00017256873],"about_ca_topic_score_codex":0.0065908395,"about_ca_topic_score_gemma":0.0045788884,"teacher_disagreement_score":0.007999551,"about_ca_system_score_codex":0.0020364018,"about_ca_system_score_gemma":0.0010551497,"threshold_uncertainty_score":0.026761115},"labels":[],"label_agreement":null},{"id":"W2906609641","doi":"10.2139/ssrn.3333113","title":"Robust Tests for Convergence Clubs","year":2018,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Convergence (economics); Pairwise comparison; Null hypothesis; Econometrics; Monte Carlo method; Statistical hypothesis testing; Null (SQL); Test (biology); Distortion (music); Mathematics; Computer science; Statistics; Data mining; Economics","score_opus":0.060263166255519536,"score_gpt":0.25586278213850494,"score_spread":0.1955996158829854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906609641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78177685,0.0017372888,0.17974406,0.0022885886,0.0009015395,0.0005727144,0.006692735,0.0018970707,0.024389075],"genre_scores_gemma":[0.9830996,0.0001154437,0.009922511,0.00021729419,0.0004144863,0.00020222315,0.0032839025,0.00019126723,0.0025531498],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9486722,0.025356399,0.003905894,0.011326026,0.0065396065,0.004199922],"domain_scores_gemma":[0.4755463,0.41418067,0.032357417,0.050723564,0.015259203,0.01193278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.050024565,0.0015810347,0.004280913,0.0075446656,0.0030800104,0.005865861,0.006062965,0.0046530203,0.0346317],"category_scores_gemma":[0.29177842,0.0010422033,0.0037797235,0.005710305,0.0053885425,0.006067101,0.0074524065,0.0045329113,0.004052453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011673091,0.0023863837,0.46189162,0.0016031044,0.009216085,0.0028348914,0.0022480665,0.0679257,0.0057303747,0.19411978,0.035713308,0.20465763],"study_design_scores_gemma":[0.0032955292,0.0042387447,0.20098877,0.00055438635,0.0019915996,0.001603969,0.004018176,0.41145596,0.0069644907,0.3478247,0.016663231,0.00040049793],"about_ca_topic_score_codex":0.0017222073,"about_ca_topic_score_gemma":0.0016599811,"teacher_disagreement_score":0.050024565,"about_ca_system_score_codex":0.001102703,"about_ca_system_score_gemma":0.0030460707,"threshold_uncertainty_score":0.26455837},"labels":[],"label_agreement":null},{"id":"W2907343408","doi":"10.1787/745662258480","title":"Plant Turnover and Productivity Growth in Canadian Manufacturing","year":2002,"lang":"en","type":"report","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Forestry; Geography; Economics","score_opus":0.03808181004431521,"score_gpt":0.2220821466119937,"score_spread":0.1840003365676785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907343408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98489213,0.0013584453,0.00023745575,0.0006839955,0.000013947373,0.000016988111,0.0033725474,0.000027412496,0.0093970895],"genre_scores_gemma":[0.991629,0.00072499557,0.00015903667,0.00003546264,0.000007142499,0.0000063358743,0.0013081944,0.0000058355226,0.0061240764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993812,0.000032851778,0.000016266285,0.000072894734,0.00025790933,0.00023878389],"domain_scores_gemma":[0.99736434,0.00036145622,0.00048107991,0.00009076567,0.0011715036,0.0005309283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007791389,0.00019323087,0.00029294827,0.0030195466,0.0019907297,0.0015086778,0.0007381939,0.0004841635,0.0048357276],"category_scores_gemma":[0.0041043297,0.00020952678,0.0003606327,0.0047135325,0.0004439231,0.00042018553,0.0004587288,0.0005242899,0.00045401783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037242047,0.0000954099,0.93300956,0.00008596474,0.000057632977,0.0003386608,0.0026818803,0.0054468303,0.0009692768,0.0034470868,0.0067815925,0.046713628],"study_design_scores_gemma":[0.000008017044,0.00001539235,0.99106455,0.000019110545,0.0000124328835,0.00003769485,0.0010133396,0.0029269487,0.00016020836,0.00013660405,0.0045934385,0.000012351397],"about_ca_topic_score_codex":0.9939295,"about_ca_topic_score_gemma":0.99587786,"teacher_disagreement_score":0.047881328,"about_ca_system_score_codex":0.047881328,"about_ca_system_score_gemma":0.028300501,"threshold_uncertainty_score":0.34740496},"labels":[],"label_agreement":null},{"id":"W2907517016","doi":"10.1093/restud/rdaf029","title":"Barriers to Entry and Regional Economic Growth in China","year":2025,"lang":"en","type":"preprint","venue":"The Review of Economic Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"European Research Council; Social Sciences and Humanities Research Council of Canada; Norges Forskningsråd","keywords":"Convergence (economics); China; Salient; Barriers to entry; Economic geography; Productivity; Economics; Manufacturing sector; Construct (python library); Labour economics; Business; Industrial organization; Economic growth; Geography; Market structure","score_opus":0.04635956454986872,"score_gpt":0.2940776197252453,"score_spread":0.2477180551753766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907517016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950801,0.0009400643,0.00093688304,0.00021402744,0.000004066282,0.000007162068,0.00019291285,0.000014079612,0.0026108006],"genre_scores_gemma":[0.9992705,0.0002469543,0.00006358009,0.0000082924735,0.000003849899,0.000004022173,0.00009821796,0.0000015195332,0.00030320883],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963045,0.000075704214,0.0000277401,0.00008160643,0.00007507963,0.0001093797],"domain_scores_gemma":[0.99823964,0.00040941106,0.00074410473,0.000105437706,0.00026039005,0.00024100662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008582016,0.00024622135,0.00050712173,0.0012807406,0.0004243936,0.0012463542,0.00034373492,0.00020153997,0.0017209928],"category_scores_gemma":[0.0018437569,0.00015758359,0.00050865806,0.0017577852,0.0006215172,0.0007869007,0.0009586233,0.00038615818,0.00010485158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010572027,0.000064070075,0.932739,0.00020657829,0.00017908782,0.0006276928,0.001208621,0.014834843,0.0014299594,0.027497029,0.00088995305,0.020217359],"study_design_scores_gemma":[0.000020485886,0.000044644872,0.97172314,0.00005974081,0.00007278569,0.00009141229,0.0005871763,0.01744843,0.00037457346,0.006772356,0.0027834235,0.000021888414],"about_ca_topic_score_codex":0.033667926,"about_ca_topic_score_gemma":0.029025342,"teacher_disagreement_score":0.033667926,"about_ca_system_score_codex":0.0013637904,"about_ca_system_score_gemma":0.0012903842,"threshold_uncertainty_score":0.066943884},"labels":[],"label_agreement":null},{"id":"W2913611611","doi":"","title":"Don't Overlook the","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dominance (genetics); Productivity; Variety (cybernetics); Business; Industrial organization; Longitudinal data; Work (physics); Marketing; Economics; Economic growth; Engineering","score_opus":0.01208629857347304,"score_gpt":0.20098055486773353,"score_spread":0.1888942562942605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913611611","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056103587,0.036797184,0.015501529,0.57201695,0.015177058,0.0001505653,0.0011273556,0.00047826394,0.30264756],"genre_scores_gemma":[0.50996435,0.033920832,0.00788243,0.2119747,0.0071621975,0.00013276792,0.00057405955,0.0005254771,0.22786315],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99574536,0.0006367377,0.00013720607,0.0005748497,0.0022389465,0.00066683866],"domain_scores_gemma":[0.99145085,0.0016707985,0.0012311715,0.00084939774,0.003263456,0.0015342808],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003959721,0.0006863739,0.00066639803,0.0022196537,0.006074706,0.006321714,0.0015210022,0.0024364383,0.016027177],"category_scores_gemma":[0.01476937,0.00035824106,0.0003802746,0.0021460871,0.013299462,0.008314477,0.0039672223,0.005246289,0.008863087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014418017,0.000061427934,0.031272892,0.00089925167,0.00008247953,0.0020155732,0.03369291,0.00018606336,0.0015461838,0.12374208,0.5504665,0.25589046],"study_design_scores_gemma":[0.000012858225,0.000026937234,0.010725295,0.0007459207,0.00003279498,0.0013512509,0.019818505,0.0001348516,0.00047762762,0.026991038,0.93963915,0.000043733537],"about_ca_topic_score_codex":0.11528784,"about_ca_topic_score_gemma":0.27515963,"teacher_disagreement_score":0.98397285,"about_ca_system_score_codex":0.0062458985,"about_ca_system_score_gemma":0.0077801463,"threshold_uncertainty_score":0.22923356},"labels":[],"label_agreement":null},{"id":"W2913797126","doi":"10.7282/t31n84jt","title":"De novo firm growth, innovation and take-off","year":2018,"lang":"en","type":"article","venue":"Rutgers University Community Repository (Rutgers University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Economics; Marketing","score_opus":0.023391344266975592,"score_gpt":0.17994700451092974,"score_spread":0.15655566024395415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913797126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98676,0.0006433224,0.0008698551,0.0005197378,0.0000075889784,0.000023097262,0.00039103685,0.000013638162,0.010771605],"genre_scores_gemma":[0.99780554,0.00035606103,0.00016821393,0.000016480495,0.000011852469,0.000007690214,0.00022144776,0.000002199412,0.0014105134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990939,0.000118109514,0.000052697967,0.00014872773,0.00033017778,0.00025653234],"domain_scores_gemma":[0.98073524,0.008377335,0.00596439,0.0009678427,0.0017963236,0.0021587536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00204033,0.00019998086,0.00035479807,0.0017153452,0.00080454804,0.0026742953,0.00043697772,0.000745389,0.0026543152],"category_scores_gemma":[0.015089797,0.000113294,0.0003606504,0.00164607,0.0019988662,0.002810626,0.0017182693,0.0011106166,0.00031940054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017690535,0.00014912419,0.92695993,0.000086205764,0.00005219865,0.00043226444,0.0018608633,0.0043370305,0.0007973639,0.0198331,0.000856215,0.044458922],"study_design_scores_gemma":[0.00001054912,0.00009635859,0.97766614,0.000047096022,0.000024752906,0.00021770626,0.0022447202,0.0032692042,0.00046351433,0.01094461,0.004994556,0.000020862411],"about_ca_topic_score_codex":0.023437047,"about_ca_topic_score_gemma":0.038785826,"teacher_disagreement_score":0.023437047,"about_ca_system_score_codex":0.0027010492,"about_ca_system_score_gemma":0.0016058787,"threshold_uncertainty_score":0.046601295},"labels":[],"label_agreement":null},{"id":"W2916512865","doi":"10.18174/397632","title":"Monitoring integraal duurzame stallen : peildatum 1 januari 2016","year":2016,"lang":"nl","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Veterinary medicine; Biology; Medicine","score_opus":0.06718411774624075,"score_gpt":0.26200008776290873,"score_spread":0.19481597001666798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916512865","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18517902,0.015763793,0.012334775,0.018128416,0.0037251967,0.0013921863,0.38240758,0.0028342344,0.3782348],"genre_scores_gemma":[0.3286315,0.0060334937,0.013485746,0.0011496865,0.0007688355,0.0013915526,0.22252236,0.001223371,0.42479345],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520195,0.00051363,0.00041758243,0.0008050851,0.0023669335,0.00069483207],"domain_scores_gemma":[0.9942504,0.0008309613,0.0010314778,0.00047031368,0.0028064693,0.0006102498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003403285,0.00051764067,0.0007140029,0.0028444417,0.00095965096,0.005798146,0.0010854086,0.0012688659,0.030664],"category_scores_gemma":[0.014784101,0.00062419835,0.0004860374,0.003353415,0.00046534746,0.0022356596,0.0029020922,0.001361614,0.013774471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005919902,0.000246402,0.095548674,0.0011085293,0.00014177569,0.00048641016,0.0031321838,0.0038525783,0.0022217203,0.0108034685,0.63066614,0.2512002],"study_design_scores_gemma":[0.000034601308,0.00006000206,0.09972142,0.00058991404,0.000047999867,0.00009988311,0.0014617983,0.0015137906,0.0027880573,0.001723707,0.8918977,0.00006108755],"about_ca_topic_score_codex":0.09495785,"about_ca_topic_score_gemma":0.15172337,"teacher_disagreement_score":0.09495785,"about_ca_system_score_codex":0.003888822,"about_ca_system_score_gemma":0.0063039702,"threshold_uncertainty_score":0.18881029},"labels":[],"label_agreement":null},{"id":"W2919532510","doi":"10.1002/cjas.1524","title":"L'innovation dans les services à forte intensité de connaissances (SFIC)<sup>†</sup>","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Econometric analysis; Econometric model; Survey data collection; Industrial organization; Economics; Econometrics; Statistics; Mathematics","score_opus":0.10783292018172493,"score_gpt":0.28791205994207697,"score_spread":0.18007913976035206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919532510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849317,0.0011114611,0.0006179685,0.0012965641,0.00001621656,0.000023649494,0.0015309775,0.000025186066,0.01044639],"genre_scores_gemma":[0.9964707,0.00040828643,0.00029944888,0.00002873965,0.000011578362,0.0000073620135,0.00042649862,0.000004151505,0.00234332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814856,0.0002799798,0.00008129505,0.00018693341,0.0006288765,0.00067441975],"domain_scores_gemma":[0.98991454,0.00420351,0.0022929998,0.00021561836,0.002106988,0.0012663401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019809664,0.00023777579,0.00038283676,0.0015903565,0.0008371849,0.0024787653,0.00041633015,0.00044382177,0.004901322],"category_scores_gemma":[0.010424859,0.00012805592,0.00077502086,0.00308517,0.0014248923,0.000768732,0.0008546823,0.0010627137,0.0003274441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007975522,0.000050300885,0.9618428,0.000070433554,0.00006285135,0.00015759835,0.0020086279,0.0030469298,0.00037505804,0.0065160654,0.0010703853,0.024719212],"study_design_scores_gemma":[0.000004572171,0.000018814118,0.9926025,0.000037831443,0.000024350667,0.00006982837,0.0011485644,0.0015920436,0.00018132097,0.00036123107,0.003951816,0.000007082854],"about_ca_topic_score_codex":0.89093107,"about_ca_topic_score_gemma":0.8904279,"teacher_disagreement_score":0.89093107,"about_ca_system_score_codex":0.018916111,"about_ca_system_score_gemma":0.01515043,"threshold_uncertainty_score":0.21942246},"labels":[],"label_agreement":null},{"id":"W2921004398","doi":"10.26616/nioshpub2019108","title":"Understanding small enterprises: proceedings from the 2017 conference.","year":2018,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Work & Health","funders":"National Institute for Occupational Safety and Health; Colorado School of Public Health; Canadian Institutes of Health Research","keywords":"Business; Computer science; Political science","score_opus":0.43286141673641876,"score_gpt":0.28333466603839996,"score_spread":0.1495267506980188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921004398","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051557724,0.18487367,0.0020106612,0.3244889,0.13224593,0.00020985826,0.008705648,0.0004331986,0.34187636],"genre_scores_gemma":[0.05290215,0.15630434,0.002376848,0.017518217,0.03284174,0.0007288955,0.013148671,0.00089824275,0.7232809],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773175,0.00046346022,0.00012269744,0.00020025748,0.0010501462,0.00043171298],"domain_scores_gemma":[0.9926621,0.0013915692,0.0002885899,0.00029998441,0.0030301542,0.0023275556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047012987,0.0013946992,0.00043002982,0.002886302,0.0026214684,0.006367612,0.0012558756,0.0029561669,0.06392646],"category_scores_gemma":[0.010422105,0.00036121535,0.0004620721,0.0040318402,0.0011889623,0.005971215,0.00424343,0.0033134304,0.021720767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012565676,0.00001708218,0.00020852532,0.00008389409,0.0000016870041,0.000035113455,0.00038501862,0.000026500833,0.0000226539,0.0025909145,0.9759435,0.020672627],"study_design_scores_gemma":[0.000002206355,0.0000028932625,0.0010131353,0.00026336047,0.0000018361218,0.00002400204,0.0011340899,0.000012247229,0.000045888908,0.0012900598,0.9962063,0.0000040227474],"about_ca_topic_score_codex":0.019345112,"about_ca_topic_score_gemma":0.043546308,"teacher_disagreement_score":0.06392646,"about_ca_system_score_codex":0.0060709673,"about_ca_system_score_gemma":0.0111142425,"threshold_uncertainty_score":0.21385533},"labels":[],"label_agreement":null},{"id":"W2921059212","doi":"10.34989/san-2019-3","title":"Drivers of Weak Wage Growth in Advanced Economies","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Wage growth; Economics; Humanities; Wage; Political science; Economy; Philosophy; Labour economics","score_opus":0.03501645471536055,"score_gpt":0.2785946580240209,"score_spread":0.24357820330866034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921059212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769206,0.0017602093,0.000660874,0.0067453426,0.000052513617,0.000019244702,0.0006140907,0.000030288355,0.013196755],"genre_scores_gemma":[0.997551,0.0010180405,0.00008557906,0.00013891606,0.00005937116,0.000008253845,0.00019595538,0.000007139935,0.00093577936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993179,0.000092159135,0.000054337866,0.000099809,0.0001832646,0.00025256744],"domain_scores_gemma":[0.99618524,0.0006267262,0.002042259,0.00015656445,0.0003782688,0.0006110457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013555423,0.00018100826,0.0005483692,0.0017840314,0.0007930864,0.0030671353,0.00040240525,0.0007382083,0.0044286284],"category_scores_gemma":[0.0062310193,0.000275334,0.0002335922,0.0027248077,0.0016656519,0.0015155871,0.002372378,0.0016600024,0.00067609345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035754216,0.00016738272,0.8439948,0.00044361656,0.00012291413,0.0014111912,0.007133617,0.0036511284,0.001298255,0.07084811,0.008181198,0.06239023],"study_design_scores_gemma":[0.000022507713,0.00005787241,0.9630555,0.00012643148,0.000020721933,0.00023339447,0.005521366,0.0012273405,0.0002259013,0.018679963,0.010804775,0.00002436193],"about_ca_topic_score_codex":0.007060221,"about_ca_topic_score_gemma":0.007386714,"teacher_disagreement_score":0.007060221,"about_ca_system_score_codex":0.0008931077,"about_ca_system_score_gemma":0.0011133389,"threshold_uncertainty_score":0.014815211},"labels":[],"label_agreement":null},{"id":"W2922664586","doi":"","title":"Analyse de la conjoncture et des données sujettes à la révision : application au Canada","year":2011,"lang":"fr","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Political science","score_opus":0.016883877125866573,"score_gpt":0.1812520302225794,"score_spread":0.16436815309671282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922664586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7897404,0.016068362,0.10963007,0.008877206,0.00042091208,0.0010439375,0.035135772,0.0019375173,0.037145875],"genre_scores_gemma":[0.86547995,0.0050163823,0.089411624,0.00046190034,0.00011686513,0.0003890633,0.017529929,0.0002646376,0.021329619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934227,0.0016208565,0.00056184526,0.0011245884,0.0028694114,0.00040065637],"domain_scores_gemma":[0.95826566,0.022448307,0.0020243335,0.0020853635,0.014585533,0.0005907681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010510399,0.0006673517,0.0009011552,0.005350859,0.0025302954,0.0051296563,0.0020567607,0.0014163636,0.0075315777],"category_scores_gemma":[0.056491,0.0004662977,0.0014480988,0.012098122,0.0011630506,0.0017048888,0.0017029048,0.0015517044,0.0008127871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010304685,0.00023969174,0.31393036,0.0019095145,0.000940074,0.0010077358,0.010103808,0.07092357,0.003791592,0.022049375,0.038386445,0.5356874],"study_design_scores_gemma":[0.0002157751,0.00025509138,0.5077593,0.0013147463,0.00075202313,0.0007110383,0.014617009,0.27425924,0.0072449655,0.013534642,0.17887199,0.00046418235],"about_ca_topic_score_codex":0.94245225,"about_ca_topic_score_gemma":0.9239596,"teacher_disagreement_score":0.057547748,"about_ca_system_score_codex":0.022345787,"about_ca_system_score_gemma":0.029871874,"threshold_uncertainty_score":0.16213083},"labels":[],"label_agreement":null},{"id":"W2923307209","doi":"10.14288/1.0375692","title":"Essays on firm heterogeneity and entrepreneurship","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Economics; Business","score_opus":0.05813409235862474,"score_gpt":0.2619665862057708,"score_spread":0.20383249384714605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923307209","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041322995,0.20396537,0.017292006,0.33652538,0.0067045954,0.00005723014,0.0007446027,0.000066039116,0.3933217],"genre_scores_gemma":[0.7353112,0.1255736,0.0028247486,0.01752877,0.018678773,0.000112750764,0.00051893946,0.000093364884,0.09935785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998847,0.00041991903,0.000064875196,0.00021890954,0.00026617528,0.00018308936],"domain_scores_gemma":[0.9906357,0.007147321,0.0007069666,0.0006825884,0.00049441727,0.00033289805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026473415,0.0004692061,0.000747413,0.0018419675,0.0016626702,0.004285641,0.0008708473,0.0027068611,0.008346933],"category_scores_gemma":[0.010274022,0.0003410755,0.00066471647,0.0030044871,0.004671051,0.004817407,0.0017123993,0.0025427348,0.0011551897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029941466,0.00004238315,0.0017155685,0.00013012755,0.000027209262,0.00010097827,0.00078990986,0.0019954832,0.000051924115,0.90751463,0.062545076,0.02505677],"study_design_scores_gemma":[0.000019799072,0.000016779393,0.0029114173,0.0004103506,0.000016151627,0.0000767697,0.0008297069,0.0011112662,0.000057820296,0.7414058,0.25313225,0.000011916018],"about_ca_topic_score_codex":0.0020248506,"about_ca_topic_score_gemma":0.0013796975,"teacher_disagreement_score":0.008346933,"about_ca_system_score_codex":0.0028061583,"about_ca_system_score_gemma":0.0011494248,"threshold_uncertainty_score":0.027923286},"labels":[],"label_agreement":null},{"id":"W2933889526","doi":"10.1016/j.respol.2019.03.008","title":"Exploration versus exploitation in technology firms: The role of compensation structure for R&amp;D workforce","year":2019,"lang":"en","type":"article","venue":"Research Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; Department for Business, Innovation and Skills","keywords":"Compensation (psychology); Variance (accounting); Incentive; Workforce; Dispersion (optics); Construct (python library); Business; Horizontal and vertical; Tournament; Industrial organization; Labour economics; Microeconomics; Economics; Accounting; Psychology; Mathematics","score_opus":0.18984043939170733,"score_gpt":0.38838884048766414,"score_spread":0.1985484010959568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933889526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96011376,0.0012714012,0.0033721707,0.015173858,0.00007773872,0.00007285132,0.00024171735,0.000025200188,0.01965131],"genre_scores_gemma":[0.9966983,0.0000903385,0.00014808896,0.0002886876,0.000036161757,0.000009750094,0.000019642552,0.000002873266,0.0027061715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953282,0.0020554846,0.00019132059,0.00029920856,0.00039852055,0.0017272455],"domain_scores_gemma":[0.93171185,0.040524583,0.01327829,0.0013087142,0.0025336104,0.010643039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009071212,0.00027459837,0.0006767081,0.0009512537,0.0015503538,0.0038020427,0.0010638554,0.0035128838,0.010430606],"category_scores_gemma":[0.03701084,0.00028347116,0.0004271623,0.0006755476,0.0029741896,0.0028245489,0.0024805286,0.0021852478,0.00053625565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044440436,0.0016641634,0.5333316,0.0002687116,0.00020359637,0.0009312939,0.0026555834,0.033451915,0.0057499614,0.32955506,0.006981324,0.08076283],"study_design_scores_gemma":[0.0005868988,0.0018048274,0.68893516,0.00050228875,0.00020504699,0.00044962115,0.01073047,0.049646534,0.004657031,0.225988,0.01635584,0.00013830182],"about_ca_topic_score_codex":0.007949587,"about_ca_topic_score_gemma":0.017563812,"teacher_disagreement_score":0.010430606,"about_ca_system_score_codex":0.0037565376,"about_ca_system_score_gemma":0.004758335,"threshold_uncertainty_score":0.047973752},"labels":[],"label_agreement":null},{"id":"W2935638810","doi":"10.5267/j.dsl.2019.3.002","title":"Ownership, technology gap and technical efficiency of small and medium manufacturing firms in Vietnam: A stochastic meta frontier approach","year":2019,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frontier; Technology gap; Industrial organization; Business; Economics; Economic geography; Environmental economics; International trade","score_opus":0.038638794752861805,"score_gpt":0.2376461544578292,"score_spread":0.19900735970496738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935638810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884101,0.0004952193,0.009294333,0.0003101978,0.000004135917,0.00001100438,0.00012410757,0.000006168437,0.0013448016],"genre_scores_gemma":[0.9991364,0.000102750135,0.0004523404,0.0000073016945,0.0000031046736,0.000003725136,0.00004369109,0.0000011375267,0.00024957486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996896,0.00015737208,0.000013956315,0.00004486768,0.00003060358,0.00006357443],"domain_scores_gemma":[0.9965322,0.0026292156,0.00044678123,0.00007977845,0.00015016177,0.00016179662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017088547,0.00019356686,0.0003863449,0.0010464875,0.00022891905,0.0013056229,0.00040672798,0.00040119732,0.0015543455],"category_scores_gemma":[0.0032904155,0.0001701785,0.00055946637,0.0006761556,0.0004416952,0.00085520203,0.00066504127,0.00047671897,0.00005473116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023937495,0.00023231868,0.45692787,0.00018347093,0.0006484671,0.0011892017,0.00088706997,0.46588543,0.0012720537,0.047584012,0.0007746938,0.024176115],"study_design_scores_gemma":[0.000017257553,0.00014177797,0.12742917,0.000055331704,0.00014638162,0.0001210415,0.0014727034,0.8553027,0.000484664,0.014073314,0.000731781,0.00002394101],"about_ca_topic_score_codex":0.016275536,"about_ca_topic_score_gemma":0.008613732,"teacher_disagreement_score":0.016275536,"about_ca_system_score_codex":0.0011335593,"about_ca_system_score_gemma":0.00064604596,"threshold_uncertainty_score":0.032361567},"labels":[],"label_agreement":null},{"id":"W2938344949","doi":"","title":"Slovenian Enterprise Demography and Business Transfer","year":2019,"lang":"en","type":"article","venue":"University of Maribor Press","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Euros; Business; Quarter (Canadian coin); Sample (material); Retail trade; Value (mathematics); Transfer (computing); Marketing; Commerce; Geography","score_opus":0.00905357169262113,"score_gpt":0.1425802798198141,"score_spread":0.13352670812719297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938344949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434905,0.005247455,0.0016118129,0.0005218649,0.000037109312,0.000036989284,0.0077856146,0.0000386458,0.041229945],"genre_scores_gemma":[0.98863566,0.0019406459,0.00051495386,0.00004677427,0.000014407673,0.00003541356,0.004170262,0.000019714453,0.0046222038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954164,0.000118343676,0.00003860668,0.00009290036,0.000044424865,0.00016410019],"domain_scores_gemma":[0.9993407,0.00017054791,0.0002458449,0.00006752185,0.00009925324,0.000076117074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047322037,0.00020587113,0.00024799496,0.004123146,0.0005218091,0.00155698,0.00020486601,0.0001599679,0.00711981],"category_scores_gemma":[0.0014987013,0.00015699163,0.00026805545,0.008851751,0.00045747508,0.00119142,0.0012150268,0.00031711493,0.00060402276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023329965,0.000097601536,0.793514,0.0004940923,0.00021561203,0.0016474755,0.015613678,0.007840964,0.0003638861,0.035046417,0.016028667,0.12890431],"study_design_scores_gemma":[0.0000049782166,0.000024062101,0.93471247,0.0001550021,0.000020712188,0.00030974046,0.009584932,0.000814831,0.00011376613,0.0018274478,0.052417826,0.000014113902],"about_ca_topic_score_codex":0.046519633,"about_ca_topic_score_gemma":0.042027164,"teacher_disagreement_score":0.046519633,"about_ca_system_score_codex":0.0017291625,"about_ca_system_score_gemma":0.0007392277,"threshold_uncertainty_score":0.09249771},"labels":[],"label_agreement":null},{"id":"W2940438941","doi":"10.15353/pced.v18i0.92","title":"Realigning Economic Development to Support Company Startup and Scale Up: A Burlington, Ontario Case Study","year":2019,"lang":"en","type":"article","venue":"Papers in Canadian Economic Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Corporation; Job creation; Business; Scale (ratio); Start up; Plan (archaeology); Management; Business administration; Marketing; Innovation process; Economics; Finance; Geography; Work in process","score_opus":0.023432660110192457,"score_gpt":0.21954548613370967,"score_spread":0.1961128260235172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940438941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9176455,0.0007439278,0.00050246075,0.0033075882,0.000029748853,0.00026157315,0.00029738457,0.000019410652,0.077192426],"genre_scores_gemma":[0.9681358,0.0010502125,0.00071329944,0.0004707495,0.000012562866,0.00009431895,0.00016044882,0.000016234253,0.029346287],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99853265,0.00031764782,0.00003217376,0.00008699559,0.00034130094,0.00068922725],"domain_scores_gemma":[0.996953,0.00062022614,0.00019220175,0.00013038155,0.0006264949,0.0014778089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009591692,0.00026954338,0.000225024,0.001012712,0.014719226,0.0029280987,0.0012123851,0.001253603,0.005038183],"category_scores_gemma":[0.0022895574,0.0002512287,0.00024059378,0.0025208546,0.003291596,0.0010084041,0.002606519,0.0012651175,0.00044678038],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005749694,0.0016705513,0.19856578,0.0007760166,0.000085758016,0.045925938,0.5411787,0.003832471,0.0068973266,0.064481206,0.042081032,0.09393015],"study_design_scores_gemma":[0.00010741493,0.00037256684,0.1765873,0.0003346881,0.000048154103,0.0013940425,0.5354722,0.0013612172,0.0008446136,0.0012231453,0.2821887,0.00006585289],"about_ca_topic_score_codex":0.95617974,"about_ca_topic_score_gemma":0.9923671,"teacher_disagreement_score":0.061569348,"about_ca_system_score_codex":0.061569348,"about_ca_system_score_gemma":0.05345739,"threshold_uncertainty_score":0.446719},"labels":[],"label_agreement":null},{"id":"W2941473735","doi":"10.5539/ibr.v12n5p111","title":"Does Technology Matter When Selecting a Target Firm in an M&amp;A? Some Evidence on a European M&amp;A Sample","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Portfolio; Business; Economics; Finance; Chemistry","score_opus":0.15136985196952865,"score_gpt":0.3597033105710429,"score_spread":0.20833345860151423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941473735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942795,0.0008979559,0.000611977,0.0001470184,0.000010454612,0.00001567927,0.00040988374,0.000004279706,0.0036232672],"genre_scores_gemma":[0.9977373,0.0003365167,0.0001499666,0.00009825862,0.000022295222,0.00001317369,0.00059131306,0.000004453065,0.0010467324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966258,0.0010657909,0.0003724077,0.00080937473,0.00075811794,0.00036848555],"domain_scores_gemma":[0.97443175,0.009991716,0.012477702,0.0010003046,0.0011588901,0.00093955355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038140356,0.00017522601,0.00027883265,0.0017714688,0.00038361948,0.0017379656,0.000501564,0.0007881532,0.0038090602],"category_scores_gemma":[0.012901658,0.0001675893,0.00047118313,0.0022935835,0.00045906668,0.0015207655,0.0011263127,0.0004181351,0.0010781932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015484351,0.00008544668,0.98678595,0.00004879282,0.000091290094,0.00018482887,0.00057088176,0.00011067381,0.00023055934,0.00039336146,0.00034803926,0.010995301],"study_design_scores_gemma":[0.0000061620276,0.00012748301,0.99595416,0.000026946811,0.000055008462,0.00019360172,0.0008459229,0.0002250637,0.00042689452,0.0001183739,0.0020148526,0.0000056152307],"about_ca_topic_score_codex":0.0017171304,"about_ca_topic_score_gemma":0.0019454967,"teacher_disagreement_score":0.0038140356,"about_ca_system_score_codex":0.0002791907,"about_ca_system_score_gemma":0.00026712447,"threshold_uncertainty_score":0.020170808},"labels":[],"label_agreement":null},{"id":"W2942611916","doi":"","title":"What Do We Know About the Productivity Slowdown? Evidence from Australian Industry Data","year":2018,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Slowdown; Productivity; Economics; Inefficiency; Economic slowdown; Economic policy; Macroeconomics; Economic growth; Market economy","score_opus":0.12850391205138817,"score_gpt":0.3245381239419816,"score_spread":0.19603421189059345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942611916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6623686,0.11502503,0.006139988,0.14376281,0.0012931273,0.00013564542,0.017577618,0.00015597363,0.05354124],"genre_scores_gemma":[0.94573575,0.038045824,0.0014644396,0.006330902,0.0007682106,0.000044512377,0.005030518,0.000059818944,0.0025199503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98987937,0.0023266512,0.0017168875,0.0017499571,0.0032276378,0.0010995228],"domain_scores_gemma":[0.8811735,0.047561564,0.034136236,0.0066548176,0.02788991,0.0025839347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011881816,0.0004802434,0.0012679561,0.006052167,0.0012187383,0.0058350875,0.0013745642,0.0018795567,0.004787425],"category_scores_gemma":[0.094699524,0.0005649727,0.0009917018,0.012087424,0.0029241713,0.0076192664,0.002691055,0.0045531755,0.0014451658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023305383,0.00012825585,0.7983542,0.0042109257,0.0007171276,0.0009634365,0.01387209,0.0017468206,0.000652963,0.0116055645,0.020299261,0.14721628],"study_design_scores_gemma":[0.000009486423,0.00008886121,0.939872,0.0022973649,0.00017516316,0.00021918335,0.0054480755,0.00076576055,0.00046860232,0.0048411684,0.045748085,0.000066189],"about_ca_topic_score_codex":0.16726208,"about_ca_topic_score_gemma":0.117393635,"teacher_disagreement_score":0.16726208,"about_ca_system_score_codex":0.0036188094,"about_ca_system_score_gemma":0.0041531324,"threshold_uncertainty_score":0.332577},"labels":[],"label_agreement":null},{"id":"W2944915690","doi":"10.22004/ag.econ.273071","title":"Innovation Rates in Canadian Food Processing: The Role of Human Capital","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food processing; Business; Human capital; Industrial organization; Economics; Market economy; Food science; Biology","score_opus":0.03593404702769752,"score_gpt":0.23001076052128158,"score_spread":0.19407671349358407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944915690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660089,0.003967287,0.0005499191,0.006899235,0.00003953218,0.000025995161,0.004269305,0.00003700987,0.018202813],"genre_scores_gemma":[0.9909724,0.0014341974,0.0001907533,0.00012064565,0.000015740929,0.0000065613885,0.0008007741,0.000009972554,0.006449007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992679,0.000054049866,0.000022615313,0.000087139386,0.00023682155,0.0003314867],"domain_scores_gemma":[0.994028,0.0012641189,0.0009521209,0.00017823,0.0026965993,0.00088089705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019373667,0.00028096483,0.00034689673,0.0027754267,0.002095172,0.0023619707,0.0009290175,0.0009575521,0.0055552856],"category_scores_gemma":[0.007907142,0.00017868483,0.0006009804,0.0049046143,0.0011100834,0.00094256975,0.0008805521,0.0009748947,0.00024006606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062536815,0.00018075197,0.8235341,0.00019332967,0.00020286723,0.00036566652,0.0045553916,0.018502818,0.0008835187,0.0569233,0.018675227,0.075357616],"study_design_scores_gemma":[0.000017330149,0.000019918441,0.9739416,0.00006367722,0.000060928633,0.000040164283,0.0021249957,0.006863731,0.00035828125,0.0028609792,0.013592146,0.000056182358],"about_ca_topic_score_codex":0.9963198,"about_ca_topic_score_gemma":0.99720144,"teacher_disagreement_score":0.06089624,"about_ca_system_score_codex":0.06089624,"about_ca_system_score_gemma":0.0414015,"threshold_uncertainty_score":0.44183522},"labels":[],"label_agreement":null},{"id":"W294544819","doi":"","title":"North Star Paper Corporation","year":2011,"lang":"en","type":"article","venue":"Journal of the International Academy of Case Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Context (archaeology); Shareholder; Mill; Business; Marketing; Desk; Value (mathematics); Star (game theory); Operations management; Finance; Economics; Engineering; Computer science","score_opus":0.14464377391976002,"score_gpt":0.27944438097279684,"score_spread":0.13480060705303681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W294544819","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040184423,0.0047397814,0.0030176754,0.016327405,0.0028218413,0.0006511264,0.0021184497,0.00020992904,0.92992944],"genre_scores_gemma":[0.2700021,0.0064417664,0.004119291,0.012761218,0.00095428963,0.0008294129,0.0021946423,0.0002283643,0.7024688],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989189,0.00020370033,0.00011998141,0.00022766713,0.0003232579,0.00020646385],"domain_scores_gemma":[0.9991567,0.00014898978,0.00015891492,0.00011889449,0.00021145448,0.00020514838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047654333,0.0006725278,0.00040466044,0.0014079973,0.0027635929,0.0023246736,0.0011227893,0.0022317478,0.16483763],"category_scores_gemma":[0.0035726523,0.00026757643,0.00032774423,0.0014236316,0.0009152636,0.0019357493,0.0016334123,0.0018691834,0.035605863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016008723,0.00029159378,0.018382031,0.00046819964,0.000012511003,0.28099236,0.003984811,0.00023239815,0.0008535422,0.043315426,0.50027514,0.15103193],"study_design_scores_gemma":[0.000014267702,0.000048671,0.0036344859,0.0005639263,0.0000067368796,0.2713147,0.00411798,0.0001305167,0.00028478692,0.0033402895,0.7165244,0.000019142615],"about_ca_topic_score_codex":0.004234365,"about_ca_topic_score_gemma":0.0070749144,"teacher_disagreement_score":0.16483763,"about_ca_system_score_codex":0.0017510352,"about_ca_system_score_gemma":0.0020807786,"threshold_uncertainty_score":0.5514368},"labels":[],"label_agreement":null},{"id":"W2947796452","doi":"10.1080/2157930x.2019.1622248","title":"Determinants of innovation and productivity across manufacturing and services sectors: micro evidence from Mexico","year":2019,"lang":"en","type":"article","venue":"Innovation and Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Universidad Autónoma Metropolitana; Inter-American Development Bank","keywords":"Productivity; Business; Industrial organization; Manufacturing sector; Survey data collection; Economic geography; Manufacturing; Economics; Marketing; Economic growth; Labour economics","score_opus":0.040155494145192046,"score_gpt":0.25884364195679693,"score_spread":0.2186881478116049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947796452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997619,0.00035339038,0.00020294983,0.00019030094,0.0000022172094,0.00000667277,0.00055539724,0.000005430291,0.0010646732],"genre_scores_gemma":[0.99837327,0.00046625294,0.0001418525,0.000017018492,0.000009951957,0.000009458461,0.00062216073,0.000002310295,0.00035776137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966824,0.00007764786,0.000018015702,0.000083079554,0.000047734968,0.00010523505],"domain_scores_gemma":[0.99728155,0.0011665295,0.0010627093,0.00010450881,0.00022081617,0.00016390694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065114873,0.00021077994,0.0003687768,0.0014044304,0.000537439,0.0010997107,0.00028336392,0.00031869,0.0022858547],"category_scores_gemma":[0.002472924,0.00014254896,0.00035966528,0.0025524185,0.0003814175,0.00041865016,0.0008692502,0.00040262454,0.00014074185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011686003,0.000115633135,0.9864093,0.00007934066,0.00013510892,0.00017454638,0.0007079181,0.0013034882,0.0003680141,0.0012111837,0.0005602625,0.0088184085],"study_design_scores_gemma":[0.000013298158,0.00004447472,0.9965758,0.000023060838,0.00007464974,0.000035398636,0.0009853183,0.00075660506,0.00013553414,0.00024185155,0.0011086323,0.0000053826247],"about_ca_topic_score_codex":0.06686968,"about_ca_topic_score_gemma":0.049223796,"teacher_disagreement_score":0.06686968,"about_ca_system_score_codex":0.0007808975,"about_ca_system_score_gemma":0.0006460167,"threshold_uncertainty_score":0.13296092},"labels":[],"label_agreement":null},{"id":"W2949698596","doi":"10.3386/w25998","title":"The Role of Nonemployers in Business Dynamism and Aggregate Productivity","year":2019,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Dynamism; Aggregate (composite); Productivity; Business; Industrial organization; Economics; Materials science; Composite material; Physics","score_opus":0.16489178845333916,"score_gpt":0.3990817411997359,"score_spread":0.23418995274639673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949698596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386084,0.0005418926,0.00083306804,0.00062050606,0.0000092703085,0.0000061950404,0.00044197854,0.00001999772,0.0036662545],"genre_scores_gemma":[0.9990484,0.00016961983,0.000091499016,0.000021001908,0.000018900031,0.0000025426646,0.000168326,0.000002519978,0.00047712564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962723,0.000059983537,0.000023763405,0.000086688895,0.000077297955,0.00012502991],"domain_scores_gemma":[0.986148,0.0046246606,0.0063864756,0.0006696602,0.0006011578,0.0015700087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011956652,0.00016308576,0.00027959718,0.0013133103,0.00032712118,0.0019591434,0.00035953094,0.00054974924,0.002454126],"category_scores_gemma":[0.0069427798,0.00014017624,0.0003251561,0.0013895836,0.000835331,0.001583976,0.0009917383,0.0008402358,0.0004731209],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020368937,0.00011523122,0.9693676,0.000057590863,0.000052255513,0.00034786147,0.0005724698,0.0046167076,0.0019507159,0.006262952,0.001040334,0.015412452],"study_design_scores_gemma":[0.0000126309205,0.000047461246,0.98355424,0.000022366998,0.000019654877,0.00015061592,0.0005508776,0.0075297123,0.00088819716,0.005530904,0.0016809794,0.000012375505],"about_ca_topic_score_codex":0.003784199,"about_ca_topic_score_gemma":0.003777622,"teacher_disagreement_score":0.003784199,"about_ca_system_score_codex":0.00087237294,"about_ca_system_score_gemma":0.00054749707,"threshold_uncertainty_score":0.008209884},"labels":[],"label_agreement":null},{"id":"W2950333975","doi":"","title":"Innovation Activities and Export Performance of Canadian Small and Medium-Sized Agri-Food Firms","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Business; Foreign direct investment; International trade; Economy; Economics; Population","score_opus":0.05778028181854912,"score_gpt":0.2546828058927867,"score_spread":0.19690252407423758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950333975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887897,0.0003207554,0.00006141419,0.00020687656,0.000003273904,0.000012515423,0.0026372082,0.000012522778,0.007955758],"genre_scores_gemma":[0.994194,0.00035552314,0.00010051727,0.000022399918,0.0000032331998,0.00000466374,0.0024173579,0.0000036603217,0.002898699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953914,0.000017314407,0.000021015952,0.000053238782,0.00020619012,0.00016320238],"domain_scores_gemma":[0.996201,0.00043238336,0.00077166874,0.000102261816,0.001720492,0.00077215605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006579019,0.00028948442,0.0002155113,0.002998772,0.00113659,0.0018402579,0.0005178968,0.00023795426,0.0032638966],"category_scores_gemma":[0.0033297767,0.0001068255,0.00046250084,0.0045581837,0.000628645,0.00053135416,0.00082150364,0.00036515915,0.0002951771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012245994,0.00005808734,0.9770513,0.00007667485,0.000051806637,0.00031620188,0.0015897856,0.0011501053,0.0006795209,0.0013890419,0.0020667205,0.015448393],"study_design_scores_gemma":[0.0000041602225,0.000018619523,0.9950022,0.000021889919,0.000020712294,0.000032819913,0.001518006,0.000513455,0.00020204757,0.00004959522,0.0026040443,0.000012489831],"about_ca_topic_score_codex":0.9705182,"about_ca_topic_score_gemma":0.9815423,"teacher_disagreement_score":0.029481828,"about_ca_system_score_codex":0.016073039,"about_ca_system_score_gemma":0.013596199,"threshold_uncertainty_score":0.11661863},"labels":[],"label_agreement":null},{"id":"W2950440439","doi":"","title":"Innovation and Labor Productivity in Canadian Manufacturing Firms, 2002-2004","year":2008,"lang":"en","type":"article","venue":"65th International Atlantic Economic Conference","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Business; Manufacturing; Economics; Industrial organization; Marketing; Economic growth","score_opus":0.03763181322221022,"score_gpt":0.22612387485878888,"score_spread":0.18849206163657867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950440439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9301197,0.0095686065,0.00034410274,0.004838735,0.00015772285,0.00006556208,0.04156099,0.0000915001,0.013253091],"genre_scores_gemma":[0.9665545,0.0034935507,0.0003084208,0.00028702588,0.000064680076,0.000032189928,0.011434905,0.000011551763,0.017813137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986052,0.00006249021,0.000068754634,0.00014420738,0.0005897051,0.00052957196],"domain_scores_gemma":[0.9919254,0.0005119702,0.0012324176,0.00014724408,0.0049656155,0.0012174075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016153082,0.00057535566,0.0005974851,0.0045889947,0.0027964397,0.0024978714,0.0018755622,0.0011205529,0.0032514033],"category_scores_gemma":[0.0065489653,0.00031951722,0.0010426253,0.01151256,0.0008956131,0.00094609126,0.0009811653,0.0012466159,0.00057495525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034342278,0.00013298936,0.9387316,0.00020666505,0.00022632933,0.00019771844,0.0024732102,0.0031452833,0.00021689378,0.002863671,0.02602742,0.02543469],"study_design_scores_gemma":[0.000011098587,0.000016237638,0.9885124,0.00005331657,0.000044835997,0.00002507776,0.001070434,0.00083416584,0.00012959975,0.0000980006,0.009180888,0.000023943541],"about_ca_topic_score_codex":0.9983146,"about_ca_topic_score_gemma":0.99923384,"teacher_disagreement_score":0.09035988,"about_ca_system_score_codex":0.09035988,"about_ca_system_score_gemma":0.08649326,"threshold_uncertainty_score":0.6556099},"labels":[],"label_agreement":null},{"id":"W2952209557","doi":"10.2139/ssrn.3035655","title":"Innovation, Firm Size and the Canada-U.S. Productivity Gap","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Productivity; Business; Industrial organization; Economics; Economic geography; Economic growth","score_opus":0.018103373558026617,"score_gpt":0.2135640456618879,"score_spread":0.1954606721038613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952209557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297359,0.008054937,0.00038514522,0.011999904,0.000112154165,0.000016967322,0.0054719793,0.00006185731,0.044161204],"genre_scores_gemma":[0.99374855,0.0012275724,0.00009338037,0.00025294875,0.000033892098,0.0000030761803,0.0010348466,0.000009668962,0.0035960819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991937,0.000043524913,0.000028095792,0.0000899622,0.00025125305,0.00039349523],"domain_scores_gemma":[0.9917331,0.002004379,0.0013503204,0.00014589656,0.0027858806,0.0019805029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012139064,0.00013906551,0.0003069297,0.0027110428,0.0017305485,0.0029024263,0.0005438855,0.0007185768,0.006073557],"category_scores_gemma":[0.0070931236,0.000080394995,0.00036149373,0.0053549213,0.0014540982,0.0010427947,0.0011574428,0.0010124616,0.00037013175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033284174,0.0001190469,0.854273,0.00015491707,0.0001136583,0.00042668186,0.0016415308,0.0048476774,0.00039953543,0.056514014,0.031202545,0.04997457],"study_design_scores_gemma":[0.000030619205,0.000028525246,0.9759353,0.00011777886,0.00006200511,0.000069773414,0.00242997,0.0027170547,0.00027771277,0.00412302,0.014182111,0.00002607381],"about_ca_topic_score_codex":0.9699581,"about_ca_topic_score_gemma":0.97965497,"teacher_disagreement_score":0.030041873,"about_ca_system_score_codex":0.02267918,"about_ca_system_score_gemma":0.03602262,"threshold_uncertainty_score":0.16454971},"labels":[],"label_agreement":null},{"id":"W2956402187","doi":"10.1002/cl2.130","title":"Protocol for a Systematic Review: The Impacts of Business Support Services for Small and Medium Enterprises on Firm Performance in Low‐and Middle‐Income Countries: A Systematic Review","year":2014,"lang":"en","type":"review","venue":"Campbell Systematic Reviews","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Business; Systematic review; Industrial organization; Accounting; MEDLINE; Medicine; Political science","score_opus":0.07204311107032979,"score_gpt":0.3118383316080112,"score_spread":0.23979522053768143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956402187","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011376671,0.00666064,0.0019315117,0.0010594919,0.0011889165,0.9706937,0.016136536,0.00037169023,0.0008198527],"genre_scores_gemma":[0.0011676238,0.002263584,0.0030948867,0.00045700892,0.00007444961,0.9913906,0.0008542477,0.000045438053,0.00065227255],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9473532,0.01755611,0.017950526,0.0061715376,0.007987828,0.0029808618],"domain_scores_gemma":[0.9192688,0.030522257,0.019244611,0.0057827155,0.02225666,0.0029249182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07367791,0.008965617,0.04162892,0.02509989,0.005751119,0.014547516,0.006537085,0.009725541,0.08672948],"category_scores_gemma":[0.12307811,0.008889557,0.02393754,0.01925364,0.008172632,0.013314876,0.007286349,0.008750354,0.009657995],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023884948,0.000083764244,0.00038847222,0.9708247,0.0032662454,0.00022367615,0.0009087196,0.0002812699,0.00069500937,0.0018925738,0.010748032,0.008299042],"study_design_scores_gemma":[0.027878406,0.0009169642,0.0039717616,0.8722745,0.021936692,0.0003204143,0.0023234878,0.000922344,0.0016610476,0.006126299,0.061127566,0.0005404989],"about_ca_topic_score_codex":0.010578681,"about_ca_topic_score_gemma":0.023600364,"teacher_disagreement_score":0.08672948,"about_ca_system_score_codex":0.0242199,"about_ca_system_score_gemma":0.056804933,"threshold_uncertainty_score":0.3896507},"labels":[],"label_agreement":null},{"id":"W2965060409","doi":"10.5539/ijef.v11n8p117","title":"The Impact of Intangible Assets and R&amp;D Expenditure on the Market Capitalization and EBITDA of Selected ICT Sector Enterprises in the European Union","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings before interest, taxes, depreciation, and amortization; Market capitalization; Business; Capitalization; Information and Communications Technology; Manufacturing sector; Fixed asset; Order (exchange); Financial services; Amortization; Finance; Industrial organization; Economics; Labour economics; Production (economics); Stock market","score_opus":0.015583763020702034,"score_gpt":0.22589412914222762,"score_spread":0.2103103661215256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965060409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974004,0.00031980482,0.00029313937,0.00006139989,0.0000023264386,0.0000024836927,0.00066817447,0.000008940718,0.0012433789],"genre_scores_gemma":[0.99800533,0.00016252547,0.00009212187,0.000009518686,0.0000046600107,0.0000035674043,0.0010710836,0.0000024827473,0.00064878823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987545,0.00041264974,0.00010498346,0.00023438752,0.00021854592,0.0002749102],"domain_scores_gemma":[0.986439,0.0075576147,0.004298678,0.00048586732,0.0005402113,0.00067859143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018968576,0.0002496173,0.00035230475,0.00128708,0.00017992985,0.0016958114,0.00040357714,0.00045645252,0.0025076582],"category_scores_gemma":[0.0060216575,0.00016416197,0.00047054217,0.0017612206,0.00034977906,0.0009844679,0.00076048577,0.0005216703,0.0004660584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000159555,0.00010855695,0.98308563,0.000025704914,0.0001875458,0.00022657837,0.00010195512,0.007321228,0.00030436143,0.000735793,0.0002917665,0.0074512903],"study_design_scores_gemma":[0.000004314023,0.000053495154,0.99530184,0.000011083814,0.00003638668,0.0000696351,0.00012887373,0.0033445782,0.0002842487,0.00011440032,0.00064585195,0.000005341382],"about_ca_topic_score_codex":0.011536282,"about_ca_topic_score_gemma":0.0077591813,"teacher_disagreement_score":0.011536282,"about_ca_system_score_codex":0.0008576457,"about_ca_system_score_gemma":0.0005082876,"threshold_uncertainty_score":0.022938251},"labels":[],"label_agreement":null},{"id":"W2968110598","doi":"","title":"De l’importance de la proximité dans la capacité de résister aux chocs exogènes","year":2018,"lang":"fr","type":"article","venue":"Cairn.info","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.023745809557336576,"score_gpt":0.2464916042605022,"score_spread":0.22274579470316563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968110598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98382103,0.0007216768,0.0015468799,0.0007906519,0.00000689295,0.000037423088,0.00023810862,0.000017644183,0.01281969],"genre_scores_gemma":[0.994735,0.00038602954,0.00043526178,0.0000678965,0.0000070301903,0.000012620537,0.00011238054,0.0000065627514,0.0042372537],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986358,0.00038674692,0.000058275626,0.00021513274,0.00034180135,0.00036219982],"domain_scores_gemma":[0.9925599,0.0032479314,0.0020138822,0.00043988824,0.00095715385,0.00078138127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019974208,0.00038702556,0.0005095092,0.0011791898,0.00095219543,0.0024289675,0.00067984516,0.0009261923,0.013919582],"category_scores_gemma":[0.006286985,0.00021991564,0.00062457146,0.0014363021,0.001677625,0.0011300354,0.0017475105,0.0008531819,0.0008882399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055622024,0.0003443664,0.91036505,0.0003896069,0.00052724144,0.0007090459,0.006241274,0.00674879,0.0038025028,0.012777375,0.00090489525,0.05663363],"study_design_scores_gemma":[0.000021843225,0.00029870516,0.97209847,0.000133868,0.0002117729,0.00026744904,0.009542308,0.0027417594,0.0012066427,0.0032704591,0.010170064,0.00003663421],"about_ca_topic_score_codex":0.08011169,"about_ca_topic_score_gemma":0.13393702,"teacher_disagreement_score":0.08011169,"about_ca_system_score_codex":0.0029116273,"about_ca_system_score_gemma":0.0028640018,"threshold_uncertainty_score":0.15929079},"labels":[],"label_agreement":null},{"id":"W2970615203","doi":"10.2139/ssrn.3422581","title":"The Employment Consequences of Robots: Firm-Level Evidence","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Robot; Business; Labour economics; Demographic economics; Economics; Computer science; Artificial intelligence","score_opus":0.05247432726066512,"score_gpt":0.25260422253180537,"score_spread":0.20012989527114025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970615203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97678024,0.0041068573,0.0006672369,0.0019472619,0.000044493932,0.00001918413,0.0015780291,0.000028715775,0.014828116],"genre_scores_gemma":[0.99579066,0.0019214831,0.00009778114,0.00014932285,0.00006289771,0.0000052548658,0.0006386751,0.0000041211824,0.001329729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990878,0.00026731158,0.0000644109,0.0001366005,0.00025831454,0.00018557392],"domain_scores_gemma":[0.9626878,0.020877577,0.011940052,0.0016051268,0.0016827625,0.001206798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016516431,0.00023646634,0.00037920973,0.0010876537,0.0005224474,0.001507674,0.00074824004,0.0012607522,0.015270555],"category_scores_gemma":[0.0107315015,0.00017764501,0.00058578694,0.0016186984,0.0013298665,0.0010022952,0.0010636091,0.000952101,0.0020962688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024388365,0.001036134,0.9027472,0.0008653129,0.0006682686,0.00058975065,0.0005407904,0.006533216,0.0008178246,0.005286992,0.0052090175,0.073266566],"study_design_scores_gemma":[0.00012239497,0.0009492669,0.98111546,0.00022113758,0.00032195772,0.00022064528,0.0023666727,0.0021914637,0.0009919691,0.003883933,0.007583326,0.000031774234],"about_ca_topic_score_codex":0.005931193,"about_ca_topic_score_gemma":0.009146629,"teacher_disagreement_score":0.015270555,"about_ca_system_score_codex":0.00043251147,"about_ca_system_score_gemma":0.0003816299,"threshold_uncertainty_score":0.051085114},"labels":[],"label_agreement":null},{"id":"W2972650700","doi":"","title":"Global Value Chains and Productivity Growth: Does Intangible Capital Matter?","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Production (economics); Value (mathematics); Capital (architecture); Marginal product; Production function; Investment (military); Solow residual; Global value chain; Total factor productivity; Growth accounting; Monetary economics; International trade; Macroeconomics","score_opus":0.010187296618933073,"score_gpt":0.21746850422826744,"score_spread":0.20728120760933436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972650700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99255157,0.001320559,0.0007885684,0.00062722893,0.000011439868,0.000006925865,0.00018253899,0.000007526922,0.0045037004],"genre_scores_gemma":[0.9991386,0.00036601446,0.00006974619,0.000015732532,0.000012522594,0.0000017960272,0.00008249887,0.0000012378407,0.00031186902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996321,0.00009807966,0.000018107427,0.00006716628,0.00005814598,0.00012637665],"domain_scores_gemma":[0.9937065,0.0027164451,0.0022443943,0.00031356703,0.00029596934,0.0007231695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000896656,0.0003881932,0.00040361925,0.0011935079,0.00027628615,0.0020341955,0.00024911895,0.0004364696,0.003578219],"category_scores_gemma":[0.00416719,0.000084124375,0.00046754794,0.0024223467,0.0014340306,0.0016689498,0.0014891437,0.00072572986,0.00039251352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012346466,0.000103252576,0.9547474,0.00009301869,0.00018492519,0.00034317168,0.0008807626,0.0028633499,0.00047620726,0.0070578367,0.00036000318,0.032766584],"study_design_scores_gemma":[0.000013239106,0.00013834595,0.9795054,0.00009159006,0.00012664477,0.00009571855,0.0022462362,0.0034971281,0.00068286975,0.010259676,0.0033284682,0.000014694434],"about_ca_topic_score_codex":0.0032002938,"about_ca_topic_score_gemma":0.0028814496,"teacher_disagreement_score":0.003578219,"about_ca_system_score_codex":0.00051279675,"about_ca_system_score_gemma":0.00062641536,"threshold_uncertainty_score":0.011970341},"labels":[],"label_agreement":null},{"id":"W2975365047","doi":"10.4236/ti.2019.103003","title":"Whether Developing Country Can Achieve Remarkable Progress in the Global Market by High-Tech—Huawei Company as an Example","year":2019,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Business; Order (exchange); Value (mathematics); Developing country; High tech; International trade; Global value chain; Value chain; Industrial organization; Economics; Supply chain; Comparative advantage; Economic growth; Marketing; Finance","score_opus":0.01793345621601584,"score_gpt":0.22166448965021504,"score_spread":0.2037310334341992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975365047","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26981115,0.010189775,0.0030902703,0.064978346,0.0010201988,0.0001120459,0.00078154844,0.000108904045,0.64990777],"genre_scores_gemma":[0.92820376,0.0073126564,0.0021380016,0.0051274793,0.00026926628,0.00003684492,0.00031594333,0.000015754431,0.05658033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997948,0.000034480152,0.0000075314692,0.000024504829,0.000046004036,0.00009276115],"domain_scores_gemma":[0.99965584,0.000058788082,0.00005503675,0.000028134049,0.00010621933,0.000096046315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004617841,0.00014572257,0.000091430236,0.00064420386,0.001498062,0.0020702828,0.00014640365,0.00073685957,0.0071484386],"category_scores_gemma":[0.00069450337,0.000062461266,0.00015447116,0.0010617134,0.0007781353,0.0021389176,0.0007245237,0.0008980493,0.0005938861],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019264534,0.00017213848,0.065900914,0.00039663992,0.000041927742,0.0034028355,0.0045211515,0.00068065594,0.0022862665,0.6115701,0.14813548,0.16269918],"study_design_scores_gemma":[0.00004734822,0.0001266314,0.08857674,0.0002544997,0.000047696103,0.0010738975,0.008232672,0.0010364546,0.0029715109,0.03850676,0.85906816,0.000057725945],"about_ca_topic_score_codex":0.012381451,"about_ca_topic_score_gemma":0.017110609,"teacher_disagreement_score":0.012381451,"about_ca_system_score_codex":0.0009359109,"about_ca_system_score_gemma":0.0018928068,"threshold_uncertainty_score":0.024618804},"labels":[],"label_agreement":null},{"id":"W2983525822","doi":"10.3386/w26461","title":"A Global View of Creative Destruction","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Stanford Institute for Economic Policy Research; Booth School of Business, University of Chicago","keywords":"Geography","score_opus":0.4086232769657028,"score_gpt":0.49174306045380284,"score_spread":0.08311978348810006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983525822","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009198612,0.026408903,0.007858848,0.03339229,0.00085745146,0.000014564042,0.00017160678,0.000084296524,0.9220135],"genre_scores_gemma":[0.7395996,0.06732207,0.00508928,0.013338098,0.004778698,0.00013252733,0.0004422535,0.00027800456,0.16901954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913126,0.00022623363,0.000020196778,0.00016790754,0.00021541155,0.00023896153],"domain_scores_gemma":[0.99910235,0.000283659,0.00009009297,0.00019823015,0.00011970694,0.0002060611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011013293,0.00065153954,0.00038070697,0.0028614986,0.0021979043,0.009906165,0.00088030385,0.0025399872,0.020693565],"category_scores_gemma":[0.0012189547,0.00018601866,0.00053879153,0.0034267337,0.011698781,0.0109788105,0.0041876035,0.003937395,0.0022448632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009347174,0.000008505182,0.00028629004,0.00004777219,0.0000034290874,0.000036773916,0.0008409991,0.0004102345,0.00007559585,0.97696394,0.008563915,0.012753231],"study_design_scores_gemma":[0.00000969009,0.000021158765,0.0014027948,0.00024479273,0.000007875967,0.0002384576,0.0017962257,0.0005878976,0.0001834471,0.5364036,0.45909172,0.000012261156],"about_ca_topic_score_codex":0.0035691333,"about_ca_topic_score_gemma":0.0038100572,"teacher_disagreement_score":0.020693565,"about_ca_system_score_codex":0.004500787,"about_ca_system_score_gemma":0.0028850907,"threshold_uncertainty_score":0.06922686},"labels":[],"label_agreement":null},{"id":"W2984349943","doi":"10.1177/2292550319884392","title":"Are We Headed for a Recession?","year":2019,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Kingston Health Sciences Centre","funders":"","keywords":"Recession; Economics; Keynesian economics","score_opus":0.09333747780448393,"score_gpt":0.24507782879087628,"score_spread":0.15174035098639235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984349943","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019639818,0.014370953,0.00026606314,0.95405775,0.0045798016,0.0000126755485,0.00055281084,0.000027771808,0.006492382],"genre_scores_gemma":[0.48583767,0.057378504,0.00087245385,0.4194162,0.019246014,0.000086389984,0.0010445829,0.00017905953,0.015939154],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965155,0.0006501139,0.00019193796,0.00026617316,0.00045262402,0.0019235568],"domain_scores_gemma":[0.97152585,0.003986605,0.007502044,0.0007222744,0.0055862223,0.010676967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007518689,0.00038806073,0.00073003676,0.0012194209,0.0026885837,0.006963555,0.00091166334,0.00807753,0.028886413],"category_scores_gemma":[0.038651813,0.00028391017,0.0007505295,0.0028058044,0.004436656,0.011551418,0.0026118946,0.013775021,0.0059873695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092841435,0.0003572924,0.092989355,0.00060320727,0.00030123655,0.0008272835,0.0020207814,0.0004432963,0.00048449985,0.043799184,0.6973469,0.15989856],"study_design_scores_gemma":[0.00022275865,0.00040953813,0.25472122,0.0045881625,0.0003293166,0.0009946397,0.03168281,0.0007991758,0.00047897443,0.09158396,0.61392313,0.00026626408],"about_ca_topic_score_codex":0.025062717,"about_ca_topic_score_gemma":0.036276486,"teacher_disagreement_score":0.028886413,"about_ca_system_score_codex":0.0039817365,"about_ca_system_score_gemma":0.013035027,"threshold_uncertainty_score":0.096634686},"labels":[],"label_agreement":null},{"id":"W2988735898","doi":"10.5539/ibr.v12n12p39","title":"Tax Administration and Entrepreneurial Performance: A Study of SMEs in Uganda","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Logit; Tax administration; Administration (probate law); Business; Logistic regression; Affect (linguistics); Ordered logit; Tax rate; Finance; Accounting; Marketing; Public economics; Economics; Monetary economics; Tax reform; Econometrics","score_opus":0.06952696011838544,"score_gpt":0.3283219451538988,"score_spread":0.25879498503551335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988735898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996074,0.00006320438,0.000014531464,0.00003692316,7.8602886e-7,0.0000030971567,0.000017117236,2.075122e-7,0.00025666197],"genre_scores_gemma":[0.9995772,0.00014935671,0.000033855184,0.00002065677,0.000001948155,0.0000058399214,0.000020150143,4.0295956e-7,0.00019070503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958533,0.0001939656,0.000042787193,0.000028716537,0.00004399603,0.00010522632],"domain_scores_gemma":[0.99687886,0.00083243847,0.0013362763,0.00007237094,0.00026132286,0.00061867124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008693695,0.00013527587,0.0002637297,0.0011031086,0.0013519304,0.0010579448,0.00019678308,0.00036126736,0.0012762867],"category_scores_gemma":[0.0035190915,0.00025760822,0.00018527255,0.0016785358,0.0004670575,0.0006964165,0.0011260251,0.00055195205,0.00025920395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003551607,0.00017819974,0.9860178,0.00002674206,0.000011791989,0.00041606947,0.009002798,0.000040409854,0.00010176316,0.00012206351,0.0001233812,0.0039233738],"study_design_scores_gemma":[0.00000398969,0.00016465197,0.96898377,0.000059856568,0.0000127594485,0.00045685872,0.02903132,0.0001284182,0.00007133351,0.00007239938,0.001006984,0.0000075328867],"about_ca_topic_score_codex":0.005546652,"about_ca_topic_score_gemma":0.012803006,"teacher_disagreement_score":0.005546652,"about_ca_system_score_codex":0.0004394163,"about_ca_system_score_gemma":0.0005783039,"threshold_uncertainty_score":0.011028767},"labels":[],"label_agreement":null},{"id":"W2988845952","doi":"10.3386/w26653","title":"Do Firm Effects Drift? Evidence from Washington Administrative Data","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","score_opus":0.6664066129892718,"score_gpt":0.5204498562652372,"score_spread":0.14595675672403463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988845952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97543055,0.0048278444,0.002365594,0.0029078012,0.00009037962,0.00003644298,0.0075677214,0.0000865366,0.00668712],"genre_scores_gemma":[0.99043477,0.0015168159,0.00058841135,0.00034909774,0.00008483957,0.000022399463,0.0053243088,0.000027409214,0.0016518754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99577576,0.0014039119,0.000517436,0.0010003563,0.0007560539,0.00054655684],"domain_scores_gemma":[0.8726654,0.06502376,0.041846298,0.014469471,0.004425414,0.0015696721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008605079,0.0003617597,0.00066433114,0.003227061,0.00075569726,0.0025265336,0.0013972517,0.0016260241,0.004299588],"category_scores_gemma":[0.050280314,0.0005688898,0.00072663673,0.007938749,0.0010145709,0.0017115403,0.001297908,0.0015744054,0.0012739082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001801888,0.00009315081,0.9738394,0.00009238749,0.00042207792,0.00021853784,0.0005149325,0.0013724726,0.00011586506,0.0028537184,0.0037327104,0.016564481],"study_design_scores_gemma":[0.00003637883,0.000052030966,0.98559445,0.00012653423,0.00026546104,0.000086939406,0.0010019022,0.0043041063,0.00043759574,0.0013718972,0.0066909194,0.00003194786],"about_ca_topic_score_codex":0.078827046,"about_ca_topic_score_gemma":0.07382514,"teacher_disagreement_score":0.078827046,"about_ca_system_score_codex":0.0012310534,"about_ca_system_score_gemma":0.0008910864,"threshold_uncertainty_score":0.15673643},"labels":[],"label_agreement":null},{"id":"W2991633665","doi":"10.1080/1331677x.2019.1689837","title":"Self-employment and unemployment relationship in Romania – Insights by age, education and gender","year":2019,"lang":"en","type":"article","venue":"Economic Research-Ekonomska Istraživanja","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Unemployment; Demographic economics; Labour economics; Psychology; Economics; Sociology; Economic growth","score_opus":0.09007622391545096,"score_gpt":0.31974957919905816,"score_spread":0.22967335528360722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991633665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971481,0.00064482156,0.00006949944,0.00016082403,0.000006736749,0.0000035374455,0.00016114122,0.0000017698186,0.0018036054],"genre_scores_gemma":[0.9990538,0.00022972391,0.000044318065,0.000024734205,0.000009211497,0.000002992906,0.00016298755,0.0000021673459,0.00047002744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996487,0.000112558046,0.000029460327,0.000050088427,0.000029330167,0.00012994217],"domain_scores_gemma":[0.9991653,0.00026366377,0.00028247232,0.000047988768,0.00006928298,0.0001712729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007980848,0.00013828612,0.00042816906,0.00096968823,0.00037412162,0.0007143595,0.00022561158,0.00023183557,0.0037724967],"category_scores_gemma":[0.001606544,0.00014464278,0.0006341402,0.0010525109,0.00027020852,0.00034659856,0.00085746514,0.00045419272,0.00038641173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008679594,0.00008489827,0.99002224,0.00002539451,0.00004491527,0.0002128898,0.0010122127,0.000253814,0.0002241604,0.00087453384,0.00030145788,0.0068567377],"study_design_scores_gemma":[0.0000025370507,0.000036614256,0.9972038,0.000029069084,0.000017609951,0.0000788165,0.0014075001,0.0003896107,0.000040319454,0.0001139568,0.0006769231,0.0000033055883],"about_ca_topic_score_codex":0.011532612,"about_ca_topic_score_gemma":0.015647842,"teacher_disagreement_score":0.011532612,"about_ca_system_score_codex":0.0003467805,"about_ca_system_score_gemma":0.00039498808,"threshold_uncertainty_score":0.02293098},"labels":[],"label_agreement":null},{"id":"W299374918","doi":"","title":"PRELIMINARY DRAFT; PLEASE DO NOT QUOTE U.S. Acquisitions of Canadian Firms and the Role of the Exchange Rate","year":2003,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Depreciation (economics); Mergers and acquisitions; Exchange rate; Tariff; Monetary economics; Value (mathematics); Business; Economics; Financial economics; International economics; Finance; Microeconomics","score_opus":0.015706194033882147,"score_gpt":0.18178151791405306,"score_spread":0.1660753238801709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W299374918","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009639959,0.005122244,0.002004753,0.04867812,0.0071962937,0.0017109135,0.4067058,0.00080077053,0.5181411],"genre_scores_gemma":[0.08730695,0.0064688832,0.0043057976,0.010724573,0.0014524405,0.0011186756,0.098359115,0.00060818956,0.7896554],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9972512,0.00017669018,0.00015841503,0.00021983159,0.0016548412,0.0005389027],"domain_scores_gemma":[0.9710457,0.003557532,0.00067672017,0.0005813831,0.023372287,0.00076645747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003367896,0.00060959684,0.00072919024,0.0030984047,0.004025077,0.0054440573,0.0014250408,0.0018409974,0.22201082],"category_scores_gemma":[0.025026923,0.00047101342,0.0007956534,0.0063457373,0.0005669643,0.0015888793,0.0008424922,0.0020781455,0.036527004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050206923,0.000024790836,0.0026790232,0.00020623073,0.000018106288,0.00009021918,0.00034549634,0.00020296374,0.00007805959,0.0059201308,0.97663033,0.0137544675],"study_design_scores_gemma":[0.00006851567,0.00002441872,0.038323443,0.00027471714,0.000051004154,0.000041675765,0.001181723,0.00033363912,0.0002909644,0.0014403804,0.95790994,0.000059517],"about_ca_topic_score_codex":0.95089626,"about_ca_topic_score_gemma":0.95477086,"teacher_disagreement_score":0.22201082,"about_ca_system_score_codex":0.022398544,"about_ca_system_score_gemma":0.03223662,"threshold_uncertainty_score":0.7427002},"labels":[],"label_agreement":null},{"id":"W2995126905","doi":"10.2139/ssrn.3468822","title":"Could Machine Learning Be a General-Purpose Technology? Evidence from Online Job Postings","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Online learning; Computer science; Psychology; Data science; World Wide Web","score_opus":0.022126411944175927,"score_gpt":0.23391437674169505,"score_spread":0.21178796479751913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995126905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94989026,0.001052418,0.0012525887,0.0076630795,0.00012623303,0.00007532451,0.0017959188,0.000048516467,0.03809571],"genre_scores_gemma":[0.99148214,0.00068028533,0.00043255463,0.0005512771,0.00019598663,0.00002410448,0.0005941994,0.000018351559,0.00602118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978269,0.0009815913,0.00014610212,0.00023780644,0.0004841702,0.00032347842],"domain_scores_gemma":[0.8536825,0.105426885,0.023359967,0.007039959,0.0066725146,0.0038181294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004118909,0.00020255176,0.0003311978,0.0016975017,0.0009367883,0.0026148516,0.00088169985,0.0017138902,0.02726918],"category_scores_gemma":[0.043979168,0.00023207729,0.00033965244,0.0024585905,0.00120806,0.003956527,0.0012486832,0.0016027663,0.0045688455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017099649,0.0022087053,0.808163,0.0005931965,0.0002585068,0.0006731265,0.0049296464,0.0011298491,0.0010864649,0.01020797,0.014408565,0.15463097],"study_design_scores_gemma":[0.0001289487,0.0007210112,0.9555625,0.00036840298,0.00016501159,0.00033690626,0.0078517,0.0030362306,0.001627738,0.008636269,0.021512376,0.000052916203],"about_ca_topic_score_codex":0.005066501,"about_ca_topic_score_gemma":0.005584195,"teacher_disagreement_score":0.02726918,"about_ca_system_score_codex":0.0004682158,"about_ca_system_score_gemma":0.00047766484,"threshold_uncertainty_score":0.09122449},"labels":[],"label_agreement":null},{"id":"W2995834257","doi":"10.22004/ag.econ.261274","title":"Corporate R&amp;D and the performance of foodprocessing firms: Evidence from Europe, Japan and North America","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Data envelopment analysis; Bootstrapping (finance); Food processing; Productivity; Business; Food industry; Food sector; Economics; Industrial organization; Economic growth; Finance; Geography; Political science; Agriculture","score_opus":0.10941471301584613,"score_gpt":0.2283223525714317,"score_spread":0.11890763955558559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995834257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565506,0.0019927784,0.00010811968,0.00013095977,0.000003497783,0.0000032740204,0.000341187,0.0000034430789,0.0017616035],"genre_scores_gemma":[0.99729013,0.0013800308,0.00010098322,0.000051807994,0.000012203441,0.0000025981828,0.00087528565,0.0000019349438,0.00028499044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991755,0.00016214442,0.00009822736,0.00017736488,0.0002039772,0.00018281328],"domain_scores_gemma":[0.9879112,0.0023481844,0.0069501,0.00048391815,0.0016074752,0.0006991312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017787183,0.00023377269,0.00026857425,0.0026862118,0.00037067485,0.0011545286,0.00024903633,0.0003838432,0.0006342859],"category_scores_gemma":[0.0039525153,0.00015144069,0.0004311259,0.0043565454,0.00070193154,0.00085174537,0.0012583098,0.00032296905,0.00018243425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009228044,0.00005571449,0.98968303,0.000058473484,0.00014787255,0.00012252494,0.00037184174,0.00040999858,0.00026184338,0.00017840491,0.0003523444,0.00826566],"study_design_scores_gemma":[0.00000303175,0.000020991078,0.99875045,0.000015385313,0.000047738064,0.000026841957,0.0003543975,0.00010098662,0.00013127772,0.000027307646,0.00051741034,0.0000040723776],"about_ca_topic_score_codex":0.03526044,"about_ca_topic_score_gemma":0.049187724,"teacher_disagreement_score":0.03526044,"about_ca_system_score_codex":0.00077713456,"about_ca_system_score_gemma":0.0006779953,"threshold_uncertainty_score":0.07011038},"labels":[],"label_agreement":null},{"id":"W2995843330","doi":"","title":"Looking forward via the Past: An Investigation of the Evolution of the Knowledge Base of Robotics Firms","year":2019,"lang":"en","type":"preprint","venue":"Institutional Research Information System University of Turin (University of Turin)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Collegio Carlo Alberto","keywords":"Artificial intelligence; Robotics; Restructuring; Context (archaeology); Knowledge base; Perspective (graphical); Set (abstract data type); Knowledge management; Preference; Industrial organization; Business; Economics; Computer science; Robot; Microeconomics; Biology","score_opus":0.051742147557052906,"score_gpt":0.22923632183467835,"score_spread":0.17749417427762543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995843330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714535,0.00021039862,0.00027911543,0.00012182746,5.7057076e-7,0.000004083669,0.000054282336,0.0000024915757,0.0021818902],"genre_scores_gemma":[0.9995215,0.00008037586,0.00020082478,0.0000066472803,9.0963886e-7,0.000001370073,0.0000381159,8.6833944e-7,0.00014938158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933904,0.00024534535,0.000035508536,0.00012811625,0.00013645437,0.00011551017],"domain_scores_gemma":[0.98982996,0.0060207047,0.002425879,0.000529678,0.0006809416,0.000512743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016281294,0.00008455086,0.00024419554,0.0036552884,0.00083348475,0.002503736,0.0006119072,0.0007436366,0.0011432524],"category_scores_gemma":[0.008314222,0.00014628726,0.00017251215,0.0042280145,0.0013722348,0.0024769644,0.0010039184,0.0004088187,0.00010254813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032866327,0.0002619098,0.8691338,0.000119469405,0.00015508011,0.0019899164,0.022565406,0.007381568,0.0029597303,0.024483435,0.00040348063,0.07021763],"study_design_scores_gemma":[0.000012236754,0.000181368,0.95912623,0.00006396607,0.00006014692,0.00082656846,0.014134022,0.011989031,0.0016950469,0.0064079827,0.00545343,0.000050061048],"about_ca_topic_score_codex":0.013670281,"about_ca_topic_score_gemma":0.015898429,"teacher_disagreement_score":0.013670281,"about_ca_system_score_codex":0.0022007423,"about_ca_system_score_gemma":0.0006566115,"threshold_uncertainty_score":0.027181387},"labels":[],"label_agreement":null},{"id":"W2997548749","doi":"10.6000/1929-7092.2019.08.109","title":"Revisiting the Causal link Between Agriculture, Industrial output and Financial Sector Development in South Africa","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Link (geometry); Financial sector; Economics; Financial system; Business; Finance; Geography; Mathematics","score_opus":0.08309472169690385,"score_gpt":0.23626059971121627,"score_spread":0.15316587801431242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997548749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97940534,0.009385536,0.0015643806,0.0035417285,0.00004186785,0.000013893568,0.00032211147,0.000011527118,0.005713515],"genre_scores_gemma":[0.9949056,0.0040855925,0.000327688,0.00007712722,0.00002047761,0.000004145158,0.000077780336,0.0000025666523,0.00049898715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999718,0.00012625211,0.000020020667,0.000041970703,0.000032560005,0.000061235725],"domain_scores_gemma":[0.99602014,0.002797714,0.000879213,0.00006121022,0.00015080196,0.00009092801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010128084,0.00029980007,0.00025058998,0.0013955516,0.00027699882,0.0014387914,0.0002233757,0.00028845322,0.003224525],"category_scores_gemma":[0.005149737,0.000163689,0.00032432607,0.0022633485,0.000644491,0.001438586,0.0008985804,0.00073181646,0.0001223448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001656896,0.00009340862,0.88777226,0.00089399546,0.00038096416,0.0021857247,0.0040579485,0.004761578,0.001889646,0.02577477,0.000986955,0.07103697],"study_design_scores_gemma":[0.000017607073,0.00007886445,0.9665422,0.00074314006,0.00026796205,0.00026812055,0.0062744943,0.0065097404,0.0008478808,0.008659087,0.009766761,0.000024172423],"about_ca_topic_score_codex":0.021652935,"about_ca_topic_score_gemma":0.022986723,"teacher_disagreement_score":0.021652935,"about_ca_system_score_codex":0.00087874837,"about_ca_system_score_gemma":0.0011756181,"threshold_uncertainty_score":0.043053806},"labels":[],"label_agreement":null},{"id":"W2998467884","doi":"10.1515/bejm-2024-0017","title":"Do Firm-Level Shocks Generate Aggregate Fluctuations? A Cross-Country Analysis","year":2025,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Economics; Monetary economics; Econometrics; Materials science","score_opus":0.03257435714030365,"score_gpt":0.275263017083998,"score_spread":0.24268865994369432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998467884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946708,0.00068429863,0.00067353924,0.00019297203,0.000020797577,0.0000133326685,0.0009592855,0.000022431253,0.0027625249],"genre_scores_gemma":[0.9987091,0.00020906395,0.000085989705,0.000033027336,0.000015933098,0.000004082564,0.0007073213,0.0000050710587,0.0002304362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990044,0.00030385025,0.00007884654,0.00021172935,0.00013582932,0.00026530455],"domain_scores_gemma":[0.987812,0.0051079053,0.004016011,0.0011843933,0.0011891077,0.0006906951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021009052,0.0003597831,0.0006615934,0.0021418373,0.0004902369,0.0027953454,0.0003840956,0.0005880475,0.003323715],"category_scores_gemma":[0.006160207,0.00024633194,0.0010886152,0.003426118,0.0006789316,0.0009238225,0.001546396,0.00082954374,0.0006048708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000418571,0.00015092817,0.97244567,0.000091567366,0.0019469212,0.00053826213,0.00047609536,0.008968953,0.0007802951,0.0027574715,0.0022372198,0.009188018],"study_design_scores_gemma":[0.000022399798,0.00011168242,0.98864895,0.00005222493,0.0006457629,0.00014136883,0.001197459,0.00548483,0.00057861255,0.00083281595,0.0022526877,0.000031206855],"about_ca_topic_score_codex":0.013997789,"about_ca_topic_score_gemma":0.007773688,"teacher_disagreement_score":0.013997789,"about_ca_system_score_codex":0.0004565539,"about_ca_system_score_gemma":0.00027243915,"threshold_uncertainty_score":0.027832627},"labels":[],"label_agreement":null},{"id":"W3004023901","doi":"10.29331/jkraic.2019.12.19.6.81","title":"An Analysis on the Concentration of Exports and the Diversification Strategy in Korea","year":2019,"lang":"en","type":"article","venue":"Journal of Korea Research Association of International Commerce","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); China; International trade; Quarter (Canadian coin); Portfolio; International economics; Economics; Export trade; Export performance; Business; Geography","score_opus":0.05916013428530159,"score_gpt":0.3201711289341174,"score_spread":0.26101099464881583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004023901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977869,0.00013209251,0.00014067478,0.00007139706,8.9410224e-7,0.000004392221,0.00012670303,0.000002177642,0.0017346707],"genre_scores_gemma":[0.9994203,0.00006671117,0.000065768356,0.000010167404,0.0000016318266,0.0000016496218,0.0001465821,0.0000013158381,0.00028597828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997899,0.00004229849,0.000023133094,0.000048024536,0.0000321983,0.000064457025],"domain_scores_gemma":[0.9985135,0.00027773355,0.00059636554,0.00006151251,0.00034810614,0.0002028565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055654964,0.0001610392,0.00017018092,0.0017424942,0.00028870552,0.0010682635,0.00019851365,0.00016507914,0.0015856322],"category_scores_gemma":[0.001361103,0.00010938126,0.00033274826,0.0020489516,0.00033704165,0.0006914756,0.0006676424,0.00020645988,0.00013903156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063978885,0.000029967405,0.9887223,0.00002213336,0.0000617746,0.00032602123,0.0005179948,0.0011337188,0.00067187275,0.0017003049,0.00030263295,0.0064472505],"study_design_scores_gemma":[0.0000036064735,0.000038703976,0.9938114,0.000019273408,0.000034330984,0.000142349,0.0017325996,0.002440949,0.0003254693,0.00031430466,0.001129407,0.000007594999],"about_ca_topic_score_codex":0.0074154,"about_ca_topic_score_gemma":0.005536874,"teacher_disagreement_score":0.0074154,"about_ca_system_score_codex":0.0006589269,"about_ca_system_score_gemma":0.00037268724,"threshold_uncertainty_score":0.01474452},"labels":[],"label_agreement":null},{"id":"W3006032409","doi":"10.5539/ibr.v13n3p47","title":"Do SME Policy Improve Firm Productivity? Empirical Evidence from Latin America and China","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; China; Incentive; Latin Americans; Business; Productivity; Loan; Government (linguistics); Empirical evidence; Economics; Finance; Economic growth; Market economy","score_opus":0.21576792282253665,"score_gpt":0.3848181400484257,"score_spread":0.16905021722588903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006032409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823834,0.00492082,0.00020642806,0.0029892812,0.000025544863,0.000016726375,0.0024038984,0.000032246895,0.0070216903],"genre_scores_gemma":[0.9943851,0.002187916,0.000054081196,0.0003214184,0.000040118393,0.000012074145,0.0019642229,0.0000075838607,0.0010275437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914896,0.00023079771,0.0000655519,0.00014008138,0.00012088697,0.00029370142],"domain_scores_gemma":[0.9898906,0.0034854626,0.0042484896,0.00044811112,0.0010123107,0.0009150311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022260426,0.00037553202,0.00058112905,0.002162678,0.0004997994,0.0013976722,0.00053938426,0.00043029513,0.0042426325],"category_scores_gemma":[0.0071945027,0.00016418326,0.00090445153,0.0038665836,0.0007196547,0.00076584675,0.0011135171,0.00055667915,0.0003866861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012786806,0.00007597884,0.985782,0.000118680946,0.00026961896,0.00022958529,0.00036478523,0.0008775007,0.000102668964,0.00067010464,0.002149184,0.009231949],"study_design_scores_gemma":[0.000036080077,0.000034864184,0.9942356,0.0000689142,0.00018957183,0.000029202798,0.0010932042,0.0009928767,0.0001312571,0.00015465984,0.003025603,0.000008224452],"about_ca_topic_score_codex":0.14669368,"about_ca_topic_score_gemma":0.08715135,"teacher_disagreement_score":0.14669368,"about_ca_system_score_codex":0.0014072211,"about_ca_system_score_gemma":0.0020431138,"threshold_uncertainty_score":0.29167962},"labels":[],"label_agreement":null},{"id":"W3007406073","doi":"10.1016/j.respol.2019.03.002","title":"Patent Trading Flows of Small and Large Firms","year":2013,"lang":"en","type":"preprint","venue":"Research Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Patent portfolio; Business; Portfolio; Industrial organization; Value (mathematics); Patent troll; Commerce; Intellectual property; Patent law; Finance","score_opus":0.3302741861063848,"score_gpt":0.3660952677307675,"score_spread":0.03582108162438269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007406073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98296607,0.0015179298,0.001863638,0.0015826622,0.000024825978,0.000014856382,0.002451154,0.00005247937,0.0095264325],"genre_scores_gemma":[0.99498785,0.00040163103,0.0002557057,0.00004919007,0.000048091704,0.000007476804,0.00082725525,0.000010293428,0.0034125485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938834,0.00016416893,0.000058640722,0.0001017169,0.0001102052,0.00017693194],"domain_scores_gemma":[0.96844614,0.02260194,0.0056345407,0.00078745256,0.0013517031,0.0011782199],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0019520508,0.00012033321,0.0003369149,0.0021424927,0.0003506426,0.0028011948,0.0004029484,0.0010378981,0.006433852],"category_scores_gemma":[0.022265935,0.00015686594,0.0003322582,0.0020251097,0.000575715,0.002826114,0.00077640096,0.0008998223,0.000616109],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028559673,0.0005864847,0.6704069,0.00031175368,0.00038165617,0.0009779308,0.002150118,0.043513656,0.005674192,0.1495723,0.012865605,0.11070351],"study_design_scores_gemma":[0.00016077618,0.000267764,0.787505,0.000104022234,0.0003607353,0.0006883464,0.0020442281,0.067808695,0.005823444,0.11674578,0.018372985,0.00011831525],"about_ca_topic_score_codex":0.004540358,"about_ca_topic_score_gemma":0.0041061137,"teacher_disagreement_score":0.9978575,"about_ca_system_score_codex":0.0010013846,"about_ca_system_score_gemma":0.00047671056,"threshold_uncertainty_score":0.021523356},"labels":[],"label_agreement":null},{"id":"W3008234680","doi":"10.34989/san-2020-3","title":"A Financial Stability Analysis of Zombie Firms in Canada","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Zombie; Financial stability; Business; Stability (learning theory); Financial system; Economics; Finance; Computer science; Computer security","score_opus":0.04881644234590464,"score_gpt":0.2229488035244257,"score_spread":0.17413236117852104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008234680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800176,0.0009187327,0.00019491481,0.0007477768,0.0000058052565,0.000045915065,0.007036363,0.00001204876,0.0030367086],"genre_scores_gemma":[0.994888,0.00050510676,0.00022201413,0.00006625144,0.0000045284573,0.000012979242,0.002738462,0.000004878294,0.0015578641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993156,0.000033288426,0.000031399424,0.000073609466,0.00015928663,0.0003867158],"domain_scores_gemma":[0.99605995,0.0002692795,0.0008660477,0.00007267161,0.0019867977,0.00074519834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005500076,0.00025710717,0.00039533447,0.00527933,0.0032580965,0.0022356159,0.0010164323,0.0004664995,0.0029043355],"category_scores_gemma":[0.0035092684,0.00023491979,0.0005034944,0.010022996,0.00072310097,0.0005400772,0.0010685847,0.00069536036,0.00014859145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012345045,0.000039217604,0.979836,0.00008233798,0.000098900986,0.0002510991,0.0018355214,0.0017128802,0.0004940818,0.0023901004,0.0032058945,0.009930616],"study_design_scores_gemma":[0.000006101996,0.000010913814,0.99391186,0.000033057557,0.000027794602,0.000032593285,0.0019667968,0.0020568075,0.00011428698,0.00007518074,0.001751726,0.0000127381545],"about_ca_topic_score_codex":0.9987313,"about_ca_topic_score_gemma":0.9990012,"teacher_disagreement_score":0.04835689,"about_ca_system_score_codex":0.04835689,"about_ca_system_score_gemma":0.041582115,"threshold_uncertainty_score":0.35085547},"labels":[],"label_agreement":null},{"id":"W3011096389","doi":"10.1787/6856ab8c-en","title":"Patterns of innovation, advanced technology use and business practices in Canadian firms","year":2020,"lang":"en","type":"paratext","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Microdata (statistics); Business; Knowledge management; Work (physics); Information and Communications Technology; Marketing; Computer science; Engineering; World Wide Web; Population","score_opus":0.045295047369619444,"score_gpt":0.2607117019765516,"score_spread":0.21541665460693213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011096389","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96919256,0.0017418673,0.00019135786,0.0013972664,0.000013850527,0.00003701609,0.011803594,0.000027537866,0.015594897],"genre_scores_gemma":[0.9880718,0.0013381664,0.0002576532,0.000063042746,0.0000060521115,0.000013025162,0.0031423215,0.000012150306,0.0070958245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838054,0.000096371616,0.000104619874,0.00019093102,0.00070451765,0.0005230046],"domain_scores_gemma":[0.9897114,0.0018896636,0.0017575521,0.00029067876,0.004448382,0.0019021964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013442712,0.00024098637,0.0003116273,0.006377428,0.0026351332,0.0028837782,0.0011108038,0.00064974,0.0049801595],"category_scores_gemma":[0.008863158,0.00026707025,0.0005554863,0.0185598,0.0010437518,0.0012571729,0.0012796932,0.00072111015,0.00053332496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012792872,0.000071389084,0.95144033,0.00011942464,0.00006381541,0.000121037105,0.006756344,0.0013138517,0.00041765708,0.0050409194,0.0046498138,0.029877454],"study_design_scores_gemma":[0.0000035257453,0.0000134250495,0.989394,0.000049194023,0.000014083668,0.000036135803,0.004521672,0.00076542044,0.00011649328,0.0002060733,0.0048540123,0.000025947791],"about_ca_topic_score_codex":0.9955128,"about_ca_topic_score_gemma":0.99778336,"teacher_disagreement_score":0.9515582,"about_ca_system_score_codex":0.048441816,"about_ca_system_score_gemma":0.05819465,"threshold_uncertainty_score":0.3514716},"labels":[],"label_agreement":null},{"id":"W3013133658","doi":"10.1016/j.jce.2023.06.007","title":"Misallocation across establishment gender","year":2023,"lang":"en","type":"article","venue":"Journal of Comparative Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Demographic economics; Economics; Capital (architecture); Total factor productivity; Gender gap; Labour economics; Productivity; Geography; Economic growth","score_opus":0.1551637388418391,"score_gpt":0.32166461328627277,"score_spread":0.16650087444443368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013133658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844332,0.00040932035,0.0010133076,0.00064497895,0.000021041942,0.000020204983,0.00042357564,0.000015384443,0.013019046],"genre_scores_gemma":[0.99714524,0.0000954063,0.00016224917,0.000105768224,0.000015764852,0.000005696728,0.00008434838,0.000009939829,0.0023754984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972459,0.0008839494,0.00014614049,0.0005159319,0.00054182945,0.00066629634],"domain_scores_gemma":[0.97903436,0.010260729,0.0040674317,0.0026270808,0.002471659,0.001538727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00349844,0.00016356917,0.00056280487,0.0015162178,0.00065391086,0.0021771726,0.0006771145,0.00052508863,0.020995185],"category_scores_gemma":[0.01992421,0.00023899453,0.00030798788,0.001649681,0.0013284398,0.0020572373,0.0020662467,0.0004686161,0.0014530697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011561951,0.00028383685,0.8588058,0.00016526954,0.00016621237,0.00040606895,0.005996393,0.0012248015,0.007463461,0.027035734,0.004070771,0.093225606],"study_design_scores_gemma":[0.000035583613,0.00013769005,0.97117853,0.000057887384,0.00009804153,0.00015744775,0.00941469,0.00061132666,0.0014753754,0.013055473,0.0037582174,0.00001972602],"about_ca_topic_score_codex":0.0053789215,"about_ca_topic_score_gemma":0.011447581,"teacher_disagreement_score":0.020995185,"about_ca_system_score_codex":0.0012593055,"about_ca_system_score_gemma":0.0008059281,"threshold_uncertainty_score":0.07023585},"labels":[],"label_agreement":null},{"id":"W3013326753","doi":"10.14596/pisb.324","title":"Il ruolo del capitale intellettuale nel successo delle strategie di merger & acquisition delle start-up","year":2020,"lang":"it","type":"article","venue":"BOA (University of Milano-Bicocca)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Agency (philosophy); Business; Intellectual capital; Business administration; Human capital; Service (business); Capital (architecture); Management; Marketing; Finance; Sociology; Economics; Economic growth; Geography","score_opus":0.04299006859531862,"score_gpt":0.19308299954743785,"score_spread":0.15009293095211923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013326753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94464946,0.003154005,0.0052426015,0.0023911598,0.00003275704,0.000090025744,0.00009537376,0.00002699634,0.044317573],"genre_scores_gemma":[0.9983317,0.00025502723,0.0003908674,0.000030351921,0.000012793677,0.000011343404,0.000021606746,0.000002298113,0.0009438731],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975551,0.00086470146,0.000067775174,0.0002292997,0.00060366065,0.0006794878],"domain_scores_gemma":[0.98089314,0.012837713,0.0035746647,0.00044035932,0.000956125,0.0012978582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045594387,0.0002804173,0.00041626845,0.0014136395,0.0008258365,0.005355548,0.00036605855,0.0009280342,0.0030290415],"category_scores_gemma":[0.015439571,0.00016872514,0.00021585308,0.001319639,0.0018284834,0.002484429,0.0015730814,0.0011025156,0.0003805038],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007297698,0.0007032023,0.65935415,0.0006295426,0.00023276002,0.0026872691,0.0095234085,0.017172325,0.0025192657,0.113344945,0.0042270995,0.18887633],"study_design_scores_gemma":[0.0001659088,0.0011380719,0.8320911,0.0009645343,0.0003404994,0.00183497,0.024583993,0.046138663,0.0054854485,0.048445992,0.03867085,0.00013991813],"about_ca_topic_score_codex":0.005523452,"about_ca_topic_score_gemma":0.007446018,"teacher_disagreement_score":0.005523452,"about_ca_system_score_codex":0.0031392125,"about_ca_system_score_gemma":0.0018867564,"threshold_uncertainty_score":0.02411294},"labels":[],"label_agreement":null},{"id":"W3013489141","doi":"10.5539/mas.v14n4p99","title":"Survival Modelling of Tuberculosis Data-A Case Study of Federal Medical Centre, Bida, Nigeria","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tertiary Education Trust Fund","keywords":"Akaike information criterion; Covariate; Proportional hazards model; Demography; Survival analysis; Tuberculosis; Hazard ratio; Medicine; Hazard; Statistics; Female sex; Mathematics; Internal medicine; Biology; Sociology","score_opus":0.15442233312238277,"score_gpt":0.2710857898012121,"score_spread":0.11666345667882935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013489141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370605,0.0007729234,0.0035836957,0.0006119555,0.000012095878,0.00003581027,0.00049893575,0.00001527478,0.0007632112],"genre_scores_gemma":[0.9971083,0.0005457387,0.0014601927,0.000021450549,0.000010867106,0.000019623852,0.00037605388,0.000004728933,0.0004530855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923396,0.00045822814,0.000048503538,0.00007552005,0.00006442647,0.000119347205],"domain_scores_gemma":[0.99346536,0.005253058,0.00059796055,0.00021652307,0.00029199454,0.00017509742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025474448,0.0003462612,0.00045329743,0.0008970248,0.000778767,0.00082542544,0.00061129255,0.00092372036,0.0012017803],"category_scores_gemma":[0.0068532056,0.00022250142,0.000576262,0.0012903068,0.0004621866,0.00055847433,0.00056786777,0.00074715953,0.0001365174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082908024,0.00068990106,0.7862226,0.00052516273,0.00018639876,0.014627684,0.0034157387,0.14140809,0.0009506413,0.010750251,0.003873613,0.036520828],"study_design_scores_gemma":[0.00008858156,0.0009583226,0.41118386,0.0004495266,0.0001664669,0.00897661,0.009794659,0.5461622,0.0014171649,0.011228777,0.009447388,0.00012650432],"about_ca_topic_score_codex":0.020306293,"about_ca_topic_score_gemma":0.018979874,"teacher_disagreement_score":0.020306293,"about_ca_system_score_codex":0.001406187,"about_ca_system_score_gemma":0.0009354852,"threshold_uncertainty_score":0.040376186},"labels":[],"label_agreement":null},{"id":"W3018193673","doi":"","title":"Corporate R&D and the performance of foodprocessing firms: Evidence from Europe, Japan and North America","year":2017,"lang":"en","type":"article","venue":"2017 International Congress, August 28-September 1, 2017, Parma, Italy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bootstrapping (finance); Data envelopment analysis; Productivity; Business; Industrial organization; Economics; Economic growth; Finance","score_opus":0.0752937869437749,"score_gpt":0.2608536969975934,"score_spread":0.1855599100538185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018193673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99361974,0.0035132142,0.00012745558,0.00015951075,0.000004745726,0.0000040539962,0.00040272114,0.000004867134,0.0021637413],"genre_scores_gemma":[0.9961816,0.0021481575,0.00011537121,0.000051423933,0.000018228699,0.000003161275,0.0011738597,0.0000026667662,0.00030569817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921894,0.00014534817,0.000087323046,0.00017500596,0.00019709898,0.00017628843],"domain_scores_gemma":[0.9892424,0.0021903794,0.0058982032,0.0004892854,0.0015341942,0.0006455017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017154351,0.00027967556,0.00033528171,0.0030695538,0.00034552946,0.0012205575,0.00024309514,0.0003948904,0.0006387003],"category_scores_gemma":[0.003911604,0.00015373557,0.0005028601,0.005213479,0.00073698245,0.00081316236,0.0012830482,0.00033531655,0.0002137159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001422646,0.00007638805,0.9849535,0.00009217411,0.00021957535,0.00016529224,0.00046009233,0.0005788972,0.00033481992,0.00028827754,0.00050804537,0.012180711],"study_design_scores_gemma":[0.000004117935,0.00002604728,0.99867356,0.00001909156,0.00006137551,0.000031195214,0.00031398755,0.0001002757,0.00013578433,0.0000387325,0.00059129024,0.00000456304],"about_ca_topic_score_codex":0.028308887,"about_ca_topic_score_gemma":0.036943115,"teacher_disagreement_score":0.028308887,"about_ca_system_score_codex":0.0006992059,"about_ca_system_score_gemma":0.0006178401,"threshold_uncertainty_score":0.056288242},"labels":[],"label_agreement":null},{"id":"W3020818853","doi":"10.1177/0149206320916225","title":"Performance Feedback Persistence: Comparative Effects of Historical Versus Peer Performance Feedback on Innovative Search","year":2020,"lang":"en","type":"article","venue":"Journal of Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Persistence (discontinuity); Psychology; Differential (mechanical device); Computer science; Cognitive psychology; Engineering","score_opus":0.10708610851273086,"score_gpt":0.2563565035464664,"score_spread":0.14927039503373551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020818853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720913,0.00020893676,0.0005209393,0.000104518156,0.0000031095049,0.000009105848,0.0000841505,0.000013491728,0.0018465855],"genre_scores_gemma":[0.9996238,0.00003444185,0.00006335249,0.000011860645,0.0000064518913,0.0000032307871,0.00005870647,0.0000030241108,0.00019517475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843913,0.00055760617,0.00015108607,0.00023950644,0.00035030907,0.00026243392],"domain_scores_gemma":[0.910287,0.062675126,0.0155195985,0.004928871,0.0021519875,0.004437431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041684113,0.00014786482,0.00039810795,0.0009847446,0.0003189514,0.0016432077,0.00047703445,0.00068654754,0.0040671276],"category_scores_gemma":[0.039798122,0.000117297226,0.0004283364,0.0008918233,0.0006998005,0.0015958165,0.0013016962,0.0006481181,0.00034397797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016419108,0.00063790235,0.9420447,0.0001096482,0.00029007523,0.0001859818,0.0013300499,0.0059651835,0.0039535495,0.002669042,0.00031271516,0.04085922],"study_design_scores_gemma":[0.000028979372,0.0007660454,0.98926127,0.000017270113,0.00012570969,0.00008465424,0.0007882629,0.005895045,0.0010340805,0.0016187005,0.0003582212,0.000021766566],"about_ca_topic_score_codex":0.0020794927,"about_ca_topic_score_gemma":0.001480719,"teacher_disagreement_score":0.0041684113,"about_ca_system_score_codex":0.000521146,"about_ca_system_score_gemma":0.0005104644,"threshold_uncertainty_score":0.022044897},"labels":[],"label_agreement":null},{"id":"W3021139595","doi":"10.22215/timreview/1345","title":"The Importance of Global Business Hubs on Internationalizing SMEs: an empirical analysis of psychic and geographic distance.","year":2020,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Workforce; China; Business; Economic geography; Population; Industrial organization; Regional science; Geography; Economics; Economic growth; Sociology; Demography","score_opus":0.04929961971779172,"score_gpt":0.3132175014730759,"score_spread":0.2639178817552842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021139595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754461,0.008737643,0.00039893706,0.0008727641,0.000026478057,0.000020081796,0.0006140598,0.0000037265963,0.013880141],"genre_scores_gemma":[0.9959912,0.0031063086,0.00008769904,0.000031754433,0.000025898213,0.000006288484,0.0002789987,0.0000029488856,0.00046903855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946123,0.00020397251,0.000033560158,0.00006359132,0.00013612023,0.00010158821],"domain_scores_gemma":[0.9830729,0.008814148,0.0052720774,0.00033019108,0.0012093568,0.0013012609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013547364,0.0001487016,0.0002855506,0.0019754,0.0003909546,0.001470747,0.00041124783,0.0004016652,0.0065118815],"category_scores_gemma":[0.010696851,0.00009978291,0.0003875683,0.0055039967,0.000718575,0.0016318253,0.0017866582,0.0007882441,0.0005652245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015061552,0.00008420587,0.9596148,0.00029383088,0.00026976631,0.00023002841,0.0029141195,0.0006063196,0.000118353375,0.0069497353,0.001728567,0.027039725],"study_design_scores_gemma":[0.000011150596,0.00006256203,0.98559266,0.00036217747,0.00025042193,0.00018134441,0.008094203,0.00067663495,0.000061856634,0.001319741,0.0033753004,0.000011845864],"about_ca_topic_score_codex":0.0075469804,"about_ca_topic_score_gemma":0.010847245,"teacher_disagreement_score":0.0075469804,"about_ca_system_score_codex":0.0006975217,"about_ca_system_score_gemma":0.00072368036,"threshold_uncertainty_score":0.021784365},"labels":[],"label_agreement":null},{"id":"W3022942413","doi":"10.1111/caje.12001/pdf","title":"Exposure to FDI and New Plant Survival: Evidence in Canada","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Competitor analysis; Upstream (networking); Indigenous; Foreign direct investment; Competition (biology); Business; Downstream (manufacturing); International trade; International economics; Economics; Engineering; Marketing; Biology","score_opus":0.10677017606110521,"score_gpt":0.29426061080517496,"score_spread":0.18749043474406973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022942413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983752,0.0024035173,0.00022255977,0.0013027232,0.000019535612,0.000016327518,0.0051984787,0.000015912996,0.0070688254],"genre_scores_gemma":[0.9942115,0.0018189579,0.00010242402,0.00012154642,0.000007569055,0.000003827607,0.0014771686,0.0000053880344,0.0022514705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932957,0.000027064296,0.000021926575,0.00009608257,0.00022833465,0.0002969877],"domain_scores_gemma":[0.99485505,0.0006261741,0.0013957244,0.00017725296,0.0016926457,0.0012531828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058530725,0.00024509965,0.0003806583,0.0017776366,0.0026024352,0.0014213556,0.0010571057,0.00044551666,0.004022627],"category_scores_gemma":[0.003195776,0.0001891636,0.00040876688,0.004307557,0.0012625728,0.0005138247,0.0009926808,0.0008597669,0.00021263193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016013857,0.0000473422,0.97204494,0.00012508684,0.000104938845,0.00036649406,0.0030120872,0.00064397877,0.00030120253,0.0011909605,0.0040710187,0.017931763],"study_design_scores_gemma":[0.000009634441,0.00002445982,0.99045384,0.000079691126,0.000051837273,0.00009063197,0.0029279569,0.00047481805,0.00017782334,0.00013353469,0.0055507724,0.000025048512],"about_ca_topic_score_codex":0.99526453,"about_ca_topic_score_gemma":0.997968,"teacher_disagreement_score":0.020785691,"about_ca_system_score_codex":0.020785691,"about_ca_system_score_gemma":0.023777194,"threshold_uncertainty_score":0.15081143},"labels":[],"label_agreement":null},{"id":"W3026262114","doi":"10.2139/ssrn.3587973","title":"Innovation During a Crisis: Evidence from Covid-19","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Economics; Virology; Medicine; Internal medicine","score_opus":0.05931478574200237,"score_gpt":0.260156157511961,"score_spread":0.2008413717699586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026262114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820986,0.0016881234,0.00012568684,0.0017928922,0.000041071777,0.000025110432,0.0017762504,0.000012958859,0.012439343],"genre_scores_gemma":[0.99521387,0.0008422051,0.000033359018,0.0002835154,0.000052898667,0.00001656323,0.0017539331,0.0000069660186,0.0017967185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987937,0.0002288174,0.00008892964,0.00017077006,0.0002609673,0.0004567839],"domain_scores_gemma":[0.96927196,0.010630059,0.011126436,0.0011477114,0.004151045,0.0036728904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024265677,0.00025293828,0.00044212048,0.0019111526,0.0009292929,0.002915714,0.0005752641,0.0016994526,0.0050364337],"category_scores_gemma":[0.014244986,0.00016915491,0.00030052007,0.0027099138,0.0010151598,0.0014955086,0.0023216852,0.001841792,0.00092857995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002698644,0.0008564923,0.93419015,0.0003414921,0.00021572284,0.00083475694,0.005118041,0.0010551364,0.000593237,0.0047662184,0.013015058,0.036315084],"study_design_scores_gemma":[0.00007557409,0.0002582878,0.98616207,0.00010991908,0.00007222591,0.00010938514,0.004703553,0.00054694526,0.00037602917,0.0007282623,0.0068378495,0.000019932428],"about_ca_topic_score_codex":0.024496397,"about_ca_topic_score_gemma":0.026353035,"teacher_disagreement_score":0.024496397,"about_ca_system_score_codex":0.0011155487,"about_ca_system_score_gemma":0.0010740105,"threshold_uncertainty_score":0.048707664},"labels":[],"label_agreement":null},{"id":"W3034018643","doi":"","title":"Simultaneous Mergers Probability Event Study","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Mergers and acquisitions; Econometrics; Negotiation; Event study; Statistical inference; Event (particle physics); Economics; Statistical power; Computer science; Statistics; Finance; Mathematics; Context (archaeology)","score_opus":0.013751589123999328,"score_gpt":0.22241546447897786,"score_spread":0.20866387535497855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034018643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1784493,0.0005783097,0.7965821,0.0006797019,0.00022339074,0.0017354257,0.001449112,0.00041939426,0.019883236],"genre_scores_gemma":[0.8656647,0.00035618755,0.12423117,0.00023430455,0.0004209574,0.0022914675,0.0011897684,0.000058325793,0.005553136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.990902,0.0042408304,0.0005061738,0.0018643654,0.0020466913,0.0004398419],"domain_scores_gemma":[0.9358014,0.049805943,0.0059869923,0.0049935873,0.0025712505,0.0008408375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008596865,0.00064887456,0.00091814593,0.0032753183,0.00087866007,0.0020248543,0.0017339645,0.0012608592,0.010658467],"category_scores_gemma":[0.055566113,0.00042116176,0.0013151553,0.0028935212,0.0011876832,0.0033443212,0.0028470978,0.0017587485,0.0006779976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010864638,0.00068213686,0.12451711,0.0005077092,0.0006110584,0.0019758944,0.0024533719,0.036505308,0.0033125274,0.61848587,0.0055123824,0.20435016],"study_design_scores_gemma":[0.00047405506,0.0026636866,0.093430355,0.0001921886,0.00077737647,0.0038093831,0.0019946648,0.34467202,0.009564639,0.48207483,0.06011794,0.00022894355],"about_ca_topic_score_codex":0.0012664082,"about_ca_topic_score_gemma":0.0008700254,"teacher_disagreement_score":0.010658467,"about_ca_system_score_codex":0.0007490095,"about_ca_system_score_gemma":0.0012805576,"threshold_uncertainty_score":0.04546511},"labels":[],"label_agreement":null},{"id":"W3036423956","doi":"","title":"Long-run Perspectives on Mid-size Firms: The Role of Productivity and Geographic Scope","year":2019,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Scope (computer science); Productivity; Business; Industrial organization; Small and medium-sized enterprises; Small business; Economics; Marketing; Finance; Economic growth; Computer science","score_opus":0.049204324076237906,"score_gpt":0.3086960676825207,"score_spread":0.2594917436062828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036423956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97266895,0.0031459113,0.00084787654,0.0021697339,0.000020560637,0.000011694839,0.0026717212,0.000017585606,0.018446049],"genre_scores_gemma":[0.99768317,0.00047985953,0.00007589479,0.000052249805,0.000020526202,0.000002713885,0.00079470983,0.0000037707139,0.0008870551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945575,0.0000596007,0.000023993338,0.00009350726,0.00015376318,0.00021334268],"domain_scores_gemma":[0.9916917,0.002041775,0.0029216353,0.0002514339,0.0011134773,0.0019799257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094746286,0.00012754544,0.00026327974,0.0024386633,0.0010509965,0.002726481,0.00070010935,0.0004127094,0.0036420603],"category_scores_gemma":[0.006344733,0.00008807712,0.0003529665,0.003931374,0.0010024427,0.0015560508,0.0015367278,0.0008480941,0.0003136296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004829068,0.000016632788,0.98135304,0.000026055837,0.00005347392,0.00026394814,0.0018845039,0.0008664721,0.00036567857,0.0040672454,0.0011290342,0.009925543],"study_design_scores_gemma":[0.000002138081,0.000016792439,0.99260736,0.000027747004,0.000019023844,0.00004396962,0.0024353785,0.0004155293,0.00010882491,0.0007434259,0.003572333,0.0000073867673],"about_ca_topic_score_codex":0.3854295,"about_ca_topic_score_gemma":0.5314812,"teacher_disagreement_score":0.3854295,"about_ca_system_score_codex":0.0029285762,"about_ca_system_score_gemma":0.002507991,"threshold_uncertainty_score":0.7663721},"labels":[],"label_agreement":null},{"id":"W3038837208","doi":"","title":"A co-evolutionary Approach to Duch Mainport Development: On the Edge of Change and Continuity","year":2005,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Business","score_opus":0.12405453583952332,"score_gpt":0.23773197848451824,"score_spread":0.11367744264499492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038837208","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1374062,0.001751692,0.16832463,0.01828754,0.0002548692,0.00018032223,0.0001038933,0.00013519892,0.67355555],"genre_scores_gemma":[0.9448484,0.00040538886,0.025883283,0.0004412574,0.000051208164,0.00007305205,0.000035217483,0.000042502765,0.028219664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803513,0.0009967656,0.000051736897,0.00039271527,0.00024305607,0.000280559],"domain_scores_gemma":[0.9968406,0.0011898394,0.0002708825,0.0006886216,0.0005836563,0.00042624577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023646161,0.0003237447,0.0004362562,0.0021697443,0.003897606,0.0060151652,0.0020190908,0.002850659,0.011315119],"category_scores_gemma":[0.007852939,0.00026263917,0.0006449866,0.0021082237,0.010057385,0.006284682,0.0036912689,0.0017664067,0.0006082313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017343773,0.000024631061,0.0018805896,0.000017718836,0.000008567853,0.0001631658,0.0016079486,0.001210278,0.00013394492,0.97536564,0.00088321615,0.01868695],"study_design_scores_gemma":[0.000018563043,0.00006037361,0.0036085234,0.0000639586,0.000017418306,0.000415326,0.004153876,0.011325124,0.00046723173,0.9253675,0.054473132,0.00002901444],"about_ca_topic_score_codex":0.0053318716,"about_ca_topic_score_gemma":0.0074620526,"teacher_disagreement_score":0.011315119,"about_ca_system_score_codex":0.0043784683,"about_ca_system_score_gemma":0.002710142,"threshold_uncertainty_score":0.037852824},"labels":[],"label_agreement":null},{"id":"W3040490916","doi":"","title":"Abstract for Price-setting Behaviour – Insights from Australian Firms | Bulletin – June Quarter 2010","year":2010,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Advertising; Business; Economics; History","score_opus":0.023802501038646465,"score_gpt":0.22605175063438007,"score_spread":0.2022492495957336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040490916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5418333,0.008842013,0.0036020044,0.063327365,0.002027761,0.0002499762,0.0155874835,0.0005496296,0.3639804],"genre_scores_gemma":[0.6269916,0.002936227,0.00078622595,0.0023127568,0.00056178315,0.000056340592,0.004734347,0.00012987043,0.36149088],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995285,0.00006387507,0.000025245008,0.000038925737,0.00025937415,0.00008402364],"domain_scores_gemma":[0.9970048,0.0006254963,0.00043500095,0.00023528881,0.0013634646,0.00033591545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009086312,0.00021407403,0.0003896698,0.0007650535,0.0013215955,0.0027385135,0.00033880334,0.000749118,0.05053247],"category_scores_gemma":[0.007789325,0.00020419183,0.00031046307,0.0018567665,0.00033141478,0.0012546399,0.00059197546,0.0016928778,0.008077607],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069240056,0.00049000693,0.07321917,0.00033741965,0.00008313586,0.00038938897,0.0040727467,0.002565939,0.0020084737,0.009110249,0.72566223,0.18136883],"study_design_scores_gemma":[0.00003568207,0.00020786618,0.64044064,0.00018308173,0.000050999148,0.00010373904,0.0023286147,0.0029235505,0.0006363192,0.0043290406,0.34870526,0.000055196735],"about_ca_topic_score_codex":0.09497653,"about_ca_topic_score_gemma":0.14800693,"teacher_disagreement_score":0.09497653,"about_ca_system_score_codex":0.002910563,"about_ca_system_score_gemma":0.0016829971,"threshold_uncertainty_score":0.18884742},"labels":[],"label_agreement":null},{"id":"W3042422547","doi":"","title":"Australia's Productivity Performance and Real Incomes | Bulletin – June Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Productivity; Business; Geography; Economics; Economic growth","score_opus":0.037415414698786245,"score_gpt":0.23000835898982172,"score_spread":0.19259294429103546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042422547","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33422762,0.023434836,0.0009559043,0.072957285,0.008468387,0.0002345598,0.09492146,0.0010577068,0.4637423],"genre_scores_gemma":[0.2811958,0.0065671057,0.00063868164,0.0017188966,0.0012684929,0.00007413579,0.013196669,0.00014100401,0.6951992],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996544,0.00003611824,0.000027454047,0.000028324777,0.00020476742,0.0000490301],"domain_scores_gemma":[0.9984291,0.00014043976,0.0002455576,0.000050459326,0.0008631289,0.00027123498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045109363,0.00027684914,0.00023987981,0.0015606025,0.00075065903,0.0019228898,0.00020976087,0.00055507134,0.019406326],"category_scores_gemma":[0.003467529,0.0002952334,0.00020067325,0.0023710153,0.00025553603,0.0007455905,0.0005234064,0.0011353142,0.0056915088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012699298,0.00009088788,0.029996349,0.00020672978,0.00003609954,0.000100183395,0.00047744802,0.0002985287,0.00034359904,0.0012743603,0.9172802,0.049768705],"study_design_scores_gemma":[0.0000125709,0.00004885278,0.56179476,0.00009019752,0.00001875087,0.00007052063,0.0004306408,0.00040206936,0.00034331012,0.00023010393,0.43653342,0.00002484684],"about_ca_topic_score_codex":0.22425286,"about_ca_topic_score_gemma":0.5110188,"teacher_disagreement_score":0.22425286,"about_ca_system_score_codex":0.0029204143,"about_ca_system_score_gemma":0.0031308418,"threshold_uncertainty_score":0.4458952},"labels":[],"label_agreement":null},{"id":"W3046844505","doi":"","title":"The influence of local institutional and historical frameworks on a globalized industry: The case of the pharmaceutical industry in France and Quebec","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalism; Global value chain; Value (mathematics); Economic geography; Pharmaceutical industry; Globalization; Business; Industrial organization; Economic system; Economy; Market economy; Economics; Political science; Law","score_opus":0.05534407612922469,"score_gpt":0.31890729663966283,"score_spread":0.2635632205104381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046844505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8617787,0.0020356593,0.0009430481,0.0052068913,0.000025512294,0.000021555497,0.00027934782,0.000025483941,0.1296839],"genre_scores_gemma":[0.9968509,0.0003096565,0.00012819289,0.00011228006,0.000004825779,0.0000025522806,0.00004200035,0.00000516148,0.0025442988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99888986,0.00028032617,0.000021076117,0.00012673378,0.0001691771,0.00051279843],"domain_scores_gemma":[0.9981073,0.00053653034,0.0003215756,0.00010627451,0.00047064738,0.00045750724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012084398,0.00018873859,0.00024713977,0.0018988692,0.0052497145,0.007096882,0.00085829274,0.00076751295,0.005696706],"category_scores_gemma":[0.0024929377,0.00010543983,0.0002659431,0.0028054924,0.005544322,0.0013901594,0.0022599516,0.00090509845,0.00017599897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031640215,0.00019063457,0.36185172,0.00033615626,0.00023906291,0.013326152,0.05916794,0.018305063,0.00325291,0.42774853,0.010236053,0.10502937],"study_design_scores_gemma":[0.00004350498,0.00012068881,0.7132637,0.0006158402,0.00017388968,0.00081918645,0.105854385,0.007935997,0.001085665,0.01499009,0.15495591,0.00014112292],"about_ca_topic_score_codex":0.88202304,"about_ca_topic_score_gemma":0.9445569,"teacher_disagreement_score":0.9654458,"about_ca_system_score_codex":0.03455418,"about_ca_system_score_gemma":0.014170654,"threshold_uncertainty_score":0.2507093},"labels":[],"label_agreement":null},{"id":"W3084100078","doi":"10.1109/tem.2020.3014731","title":"Technology Transfer Channels and Innovation Efficiency: Empirical Evidence From Chinese Manufacturing Industries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Business; Absorptive capacity; Industrial organization; Technology transfer; Order (exchange); Empirical research; Competitive advantage; Empirical evidence; Manufacturing; Marketing; International trade","score_opus":0.05297619440245856,"score_gpt":0.23056003637823477,"score_spread":0.1775838419757762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084100078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977113,0.00042012054,0.00025929592,0.00004916044,0.000001251478,0.000007638434,0.0002056159,0.0000041746894,0.001341332],"genre_scores_gemma":[0.9992749,0.00022507086,0.00007113082,0.0000071987233,0.0000038572875,0.0000055693886,0.0002836693,0.0000010462815,0.00012765762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988061,0.00026063502,0.00014869028,0.00018288361,0.00032509107,0.00027663654],"domain_scores_gemma":[0.9839841,0.009098854,0.00426166,0.0008076913,0.0012519142,0.0005957837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333608,0.00036434323,0.0004771957,0.004510456,0.00065512385,0.0010747045,0.00040545163,0.0004171505,0.0018613694],"category_scores_gemma":[0.0075013526,0.00017545909,0.0009075886,0.0054501924,0.00090887403,0.0013016831,0.0011720669,0.00034140114,0.00021873516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006284548,0.000074152544,0.98266727,0.00012167913,0.00018312194,0.00020574979,0.0005994228,0.002972727,0.00034912274,0.00083352515,0.00014125138,0.011789064],"study_design_scores_gemma":[0.000009193206,0.00006976353,0.99567896,0.000023776467,0.00014253438,0.00004926796,0.000564606,0.0022263164,0.00045618613,0.00024002233,0.0005304716,0.000008903965],"about_ca_topic_score_codex":0.024147533,"about_ca_topic_score_gemma":0.024463894,"teacher_disagreement_score":0.024147533,"about_ca_system_score_codex":0.0013890497,"about_ca_system_score_gemma":0.0015350941,"threshold_uncertainty_score":0.048013985},"labels":[],"label_agreement":null},{"id":"W3084237824","doi":"10.1111/caje.12613","title":"Unobserved heterogeneity in the productivity distribution and gains from trade","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Productivity; Distribution (mathematics); Econometrics; Parametric statistics; Economics; Mathematics; Statistics; Macroeconomics","score_opus":0.2037244635236636,"score_gpt":0.1894125808911594,"score_spread":0.014311882632504214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084237824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8560344,0.00092710654,0.12961783,0.0024034728,0.000041674284,0.000051166666,0.0008565989,0.00025356127,0.009814191],"genre_scores_gemma":[0.9978898,0.00009046393,0.0013346778,0.000035667348,0.000015395177,0.0000064553665,0.00013821783,0.000009724879,0.00047962443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99688894,0.001584739,0.00019223818,0.0005606909,0.00040577305,0.0003676911],"domain_scores_gemma":[0.9179624,0.06576145,0.006670062,0.007775054,0.0012511108,0.00057998515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010408093,0.00038229738,0.0011422656,0.0014330763,0.00059732114,0.0031710225,0.0009757608,0.0014423123,0.0048525655],"category_scores_gemma":[0.07066812,0.00049628684,0.0009785397,0.001958421,0.0025388508,0.0045519783,0.0016510079,0.0019761596,0.00041642462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083710824,0.00024688736,0.23129973,0.00027072895,0.0005940412,0.0012481235,0.0015794003,0.36232814,0.0017154238,0.32466215,0.0024106796,0.072807476],"study_design_scores_gemma":[0.000072822564,0.00019242411,0.11388543,0.00013837838,0.00016060164,0.0006818079,0.0011107352,0.36631492,0.0010395616,0.51362675,0.0026812037,0.0000953711],"about_ca_topic_score_codex":0.004399879,"about_ca_topic_score_gemma":0.0028131374,"teacher_disagreement_score":0.010408093,"about_ca_system_score_codex":0.0019848591,"about_ca_system_score_gemma":0.0005289564,"threshold_uncertainty_score":0.055043876},"labels":[],"label_agreement":null},{"id":"W3084401361","doi":"10.3390/jrfm13090206","title":"Innovation in SMEs and Financing Mix","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Relevance (law); Dimension (graph theory); Industrial organization; European union; Cluster (spacecraft); Small and medium-sized enterprises; Marketing; Finance; International trade; Computer science","score_opus":0.019190590121357907,"score_gpt":0.20294429019356167,"score_spread":0.18375370007220376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084401361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989419,0.001063377,0.0008058687,0.0002771387,0.000007691296,0.000029491115,0.00024016168,0.000010338563,0.008146895],"genre_scores_gemma":[0.99882525,0.0001850784,0.00014594167,0.000015506048,0.00001855392,0.000011045347,0.00013250692,0.000002237822,0.0006638705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798954,0.0006288618,0.0002612241,0.00021510507,0.0005066676,0.0003985928],"domain_scores_gemma":[0.97550166,0.011006995,0.008604949,0.0007511615,0.0014363312,0.0026989873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028390072,0.00017299612,0.00045801897,0.004179679,0.0004047264,0.002592425,0.00034978037,0.00068923796,0.004789602],"category_scores_gemma":[0.024703713,0.00010716434,0.00031305425,0.0032987439,0.00065843697,0.0019776837,0.0023385945,0.00048499074,0.0004604033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013339151,0.0001058119,0.95967245,0.00009105077,0.00009207381,0.00035835616,0.0010450394,0.0015745899,0.00077908306,0.0070812497,0.00037677356,0.02869021],"study_design_scores_gemma":[0.00002202815,0.00012416097,0.98069394,0.00014221162,0.00004847504,0.00083301665,0.0017834009,0.0019654762,0.00041569665,0.009727038,0.004222226,0.000022241758],"about_ca_topic_score_codex":0.00073580036,"about_ca_topic_score_gemma":0.0006777576,"teacher_disagreement_score":0.004789602,"about_ca_system_score_codex":0.0009144934,"about_ca_system_score_gemma":0.00055315153,"threshold_uncertainty_score":0.016022801},"labels":[],"label_agreement":null},{"id":"W3085945302","doi":"","title":"Évaluation de l’impact du crédit d’impôt à l’investissement au Québec","year":2019,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.039224950419596394,"score_gpt":0.26328453458584017,"score_spread":0.22405958416624377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085945302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670155,0.0009953803,0.0021196117,0.0007312113,0.000038073023,0.000089155656,0.0023841984,0.00005618367,0.026570743],"genre_scores_gemma":[0.97674835,0.00056093215,0.001411286,0.00009988522,0.000007829727,0.00004560457,0.0012712535,0.00001895641,0.019835955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985066,0.00025640696,0.00004261769,0.00015771727,0.00077212806,0.0002644216],"domain_scores_gemma":[0.9936115,0.001108546,0.00041866265,0.00020425179,0.004166049,0.00049090723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019380418,0.0003634428,0.00038601412,0.0014204233,0.0008235525,0.0019716825,0.0005121207,0.00045812246,0.004057647],"category_scores_gemma":[0.004792221,0.00017300999,0.0003992892,0.0018799861,0.000576623,0.00050344353,0.0005623812,0.00077451847,0.00029805166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015543473,0.0005152259,0.71486974,0.00053049444,0.0005851232,0.0007332191,0.002356468,0.052372243,0.013121999,0.01096159,0.010241089,0.19215845],"study_design_scores_gemma":[0.000051040366,0.0003824466,0.9460074,0.0001627461,0.00018360052,0.00005849246,0.0020028616,0.020073261,0.0052015414,0.00039023618,0.025433524,0.000052799453],"about_ca_topic_score_codex":0.9367699,"about_ca_topic_score_gemma":0.9581594,"teacher_disagreement_score":0.978204,"about_ca_system_score_codex":0.02179599,"about_ca_system_score_gemma":0.015728293,"threshold_uncertainty_score":0.15814167},"labels":[],"label_agreement":null},{"id":"W3086779164","doi":"10.16980/jitc.16.4.202008.245","title":"Time-Varying Effects of Export on Employment Since 1990","year":2020,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Diversification (marketing strategy); Economics; Export performance; Job creation; Ordinary least squares; Sample (material); Labour economics; Demographic economics; Econometrics; International economics; Business","score_opus":0.13221213467967077,"score_gpt":0.32941981908761836,"score_spread":0.1972076844079476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086779164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962436,0.00040256075,0.00014834855,0.00012679645,0.000010915563,0.0000056065765,0.0018442171,0.000008560184,0.0012093973],"genre_scores_gemma":[0.9960461,0.00028243795,0.00006250799,0.000027007445,0.000015825792,0.0000042963266,0.002675518,0.000002644193,0.0008836036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971503,0.000029704572,0.000035102596,0.00007110591,0.000044726385,0.00010426287],"domain_scores_gemma":[0.9981256,0.00030931056,0.0009984649,0.00009295818,0.00025007868,0.00022360966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060234434,0.00021517293,0.0002336882,0.00079536636,0.00020838121,0.0006461226,0.00021734768,0.00021421185,0.0030210628],"category_scores_gemma":[0.0016582286,0.00009110866,0.00039668824,0.0011461366,0.00018663568,0.00049914164,0.000641697,0.0005061957,0.0004763642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121521436,0.00006169276,0.9887637,0.000041354026,0.000067336696,0.0002088116,0.00012222042,0.0010667805,0.0003878053,0.00019819874,0.0004909697,0.008469636],"study_design_scores_gemma":[0.0000014090607,0.00003848684,0.99838233,0.000010673424,0.000017834658,0.000030188823,0.00021450108,0.00044777166,0.00011055384,0.00003514662,0.00070841785,0.000002755441],"about_ca_topic_score_codex":0.012491829,"about_ca_topic_score_gemma":0.014223857,"teacher_disagreement_score":0.012491829,"about_ca_system_score_codex":0.00039543267,"about_ca_system_score_gemma":0.00033741267,"threshold_uncertainty_score":0.02483821},"labels":[],"label_agreement":null},{"id":"W3086827611","doi":"10.20448/journal.501.2020.72.178.185","title":"Credit Constraints and the Productivity of Small and Medium-sized Enterprises: Evidence from Canada","year":2020,"lang":"en","type":"article","venue":"Asian Journal of Economics and Empirical Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Productivity; Cash flow; Asset (computer security); Business; Debt; Investment (military); Small and medium-sized enterprises; Constraint (computer-aided design); Monetary economics; Estimation; Finance; Economics; Macroeconomics","score_opus":0.18830936566426776,"score_gpt":0.3232836184215798,"score_spread":0.13497425275731206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086827611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855995,0.002084495,0.00011851354,0.0011339188,0.000012817076,0.00002278928,0.004741184,0.000008319116,0.006278473],"genre_scores_gemma":[0.99443865,0.001670297,0.00008335313,0.00009752414,0.0000063987145,0.0000050864305,0.002425164,0.0000045008214,0.0012690831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875057,0.000090853166,0.0000781696,0.00015549824,0.0005081281,0.00041667896],"domain_scores_gemma":[0.98547345,0.0023909123,0.0026846996,0.00049947144,0.006308265,0.002643154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014780986,0.00025335583,0.0004367999,0.0018348965,0.0021340887,0.0021072868,0.001358694,0.00045853422,0.0027099226],"category_scores_gemma":[0.007775252,0.00024370711,0.000529118,0.005814833,0.0012380247,0.0005979725,0.0011566762,0.001080552,0.00027349108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013468816,0.00008651074,0.9830562,0.00010065317,0.000101387865,0.0002969903,0.0020246953,0.00045896458,0.00010904354,0.00090906763,0.0033933825,0.009328465],"study_design_scores_gemma":[0.000011624274,0.000017644097,0.99382436,0.00008315131,0.00003965764,0.00004216814,0.002532145,0.00059482176,0.000075201366,0.00008065852,0.0026803443,0.0000181856],"about_ca_topic_score_codex":0.99495244,"about_ca_topic_score_gemma":0.9963672,"teacher_disagreement_score":0.022042178,"about_ca_system_score_codex":0.022042178,"about_ca_system_score_gemma":0.0297127,"threshold_uncertainty_score":0.15992796},"labels":[],"label_agreement":null},{"id":"W3088829845","doi":"10.3386/w27877","title":"SME Failures Under Large Liquidity Shocks: An Application to the COVID-19 Crisis","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Market liquidity; Financial system; Business; Liquidity crisis; Economics; Monetary economics; Financial crisis; Macroeconomics; Medicine; Internal medicine","score_opus":0.45302733765875297,"score_gpt":0.5029080607653257,"score_spread":0.04988072310657271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088829845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87515515,0.0016436973,0.10481062,0.005937672,0.0000847546,0.00018319674,0.00428843,0.00075522653,0.007141214],"genre_scores_gemma":[0.98475325,0.000417567,0.012957884,0.00016016653,0.00006106464,0.00006210624,0.0007475331,0.000044025426,0.0007965375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989492,0.0006365683,0.000054789227,0.00014258854,0.000107123145,0.000109733075],"domain_scores_gemma":[0.9871278,0.008441917,0.0024831856,0.00063234236,0.0007485381,0.00056630396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004124899,0.0006088878,0.00090421713,0.0026211168,0.0006779998,0.0015238726,0.0012122258,0.0019461439,0.0028159022],"category_scores_gemma":[0.018568069,0.0003423328,0.0008252473,0.0028641908,0.0009424152,0.0015949475,0.002416768,0.0020419348,0.00028169548],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038906888,0.00041131815,0.27691427,0.00026434148,0.00025804137,0.0017257411,0.000960107,0.6051112,0.00085353915,0.033636693,0.012912269,0.066563465],"study_design_scores_gemma":[0.000046941193,0.00010210083,0.035318654,0.000045959267,0.00003101381,0.00019743519,0.00051909685,0.94199395,0.0002653679,0.020262929,0.001162459,0.000054113552],"about_ca_topic_score_codex":0.03351011,"about_ca_topic_score_gemma":0.02255549,"teacher_disagreement_score":0.03351011,"about_ca_system_score_codex":0.0013124725,"about_ca_system_score_gemma":0.0008099415,"threshold_uncertainty_score":0.066630125},"labels":[],"label_agreement":null},{"id":"W3092195369","doi":"10.1111/labr.12235","title":"Internal promotion and the Bosman ruling: Evidence from the English Premier League","year":2022,"lang":"en","type":"article","venue":"Labour","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Public Health Agency of Canada","funders":"","keywords":"League; Club; Promotion (chess); Reputation; Selection (genetic algorithm); Set (abstract data type); Marketing; Business; Public relations; Economics; Political science; Computer science; Politics; Law","score_opus":0.03664564462257486,"score_gpt":0.21886265939789598,"score_spread":0.18221701477532112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092195369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972741,0.00014771539,0.00007908905,0.0001303166,0.0000042379547,0.00000623147,0.00018346925,0.0000021952656,0.00217245],"genre_scores_gemma":[0.9982424,0.000060689465,0.000024230141,0.000025991923,0.000011998783,0.000003238054,0.000248615,0.0000013767506,0.0013815204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982741,0.0005785365,0.00008519135,0.0002614489,0.00036737003,0.00043330342],"domain_scores_gemma":[0.96493196,0.012827453,0.014851044,0.0011003563,0.0017177891,0.0045713577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036689602,0.00018828493,0.00041357742,0.0014602551,0.00079819054,0.002150589,0.00065190444,0.0005166501,0.00613653],"category_scores_gemma":[0.008712603,0.00012449217,0.0002760263,0.0011237935,0.001162339,0.000547975,0.0011720703,0.0008533762,0.0007181211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002639893,0.00028837938,0.9917725,0.00002620772,0.000058607664,0.000297791,0.00090623647,0.0002169395,0.00014317605,0.0006698374,0.00066991284,0.0046863873],"study_design_scores_gemma":[0.000012194317,0.0001256713,0.995889,0.00002351718,0.000018707486,0.000042752858,0.0023198463,0.00045198997,0.00009594757,0.00015511218,0.00085808214,0.0000071205104],"about_ca_topic_score_codex":0.03925288,"about_ca_topic_score_gemma":0.06700751,"teacher_disagreement_score":0.03925288,"about_ca_system_score_codex":0.0008488448,"about_ca_system_score_gemma":0.000656426,"threshold_uncertainty_score":0.078048825},"labels":[],"label_agreement":null},{"id":"W3092306025","doi":"10.47670/wuwijar201822fco","title":"Decision Maker’s Tool: Statistics, the Problem Solver","year":2018,"lang":"en","type":"article","venue":"Westcliff International Journal of Applied Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Business statistics; Descriptive statistics; Solver; Computer science; Summary statistics; Economic statistics; Business intelligence; Process (computing); Probability and statistics; Parametric statistics; Operations research; Data science; Statistics; Engineering; Mathematics; Data mining","score_opus":0.08235728603515492,"score_gpt":0.3493990295661559,"score_spread":0.267041743531001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092306025","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014779445,0.0004573451,0.97339964,0.0076668467,0.00027338273,0.00031968628,0.00034691097,0.0025380985,0.013520173],"genre_scores_gemma":[0.025850546,0.0007300286,0.9662243,0.0012282223,0.0002889243,0.00059761916,0.0003915261,0.00043802135,0.004250837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9894721,0.006326608,0.00083043636,0.0011093942,0.001962892,0.000298579],"domain_scores_gemma":[0.9520081,0.040560458,0.0010640464,0.0023129515,0.0029259855,0.0011284385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017501913,0.0018843577,0.0016341046,0.0026614761,0.0012851255,0.008889918,0.0034071933,0.0028690898,0.02330703],"category_scores_gemma":[0.064428195,0.0008953528,0.00099606,0.002055119,0.0031259032,0.008604627,0.0053892992,0.004912806,0.007801108],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025633778,0.00041411578,0.00094592245,0.0013548711,0.00014617796,0.0006620442,0.0018831991,0.035212316,0.0019393093,0.4945522,0.0872845,0.375349],"study_design_scores_gemma":[0.00017765678,0.00014289792,0.00019292058,0.0006393049,0.000047648384,0.00054905226,0.0009752173,0.13988285,0.0020578683,0.6520208,0.20322296,0.0000907658],"about_ca_topic_score_codex":0.00084244926,"about_ca_topic_score_gemma":0.0007620139,"teacher_disagreement_score":0.02330703,"about_ca_system_score_codex":0.0012067403,"about_ca_system_score_gemma":0.006500419,"threshold_uncertainty_score":0.09256005},"labels":[],"label_agreement":null},{"id":"W3093611784","doi":"10.5539/ibr.v13n11p54","title":"The Influence of Allocating the Residual Value of MSMEs’ Cluster on the Growth of MSMEs and the Cluster Based on the Theory of Structural Hole","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Cluster (spacecraft); Structural equation modeling; Value (mathematics); Reliability (semiconductor); Psychology; Statistics; Mathematics; Physics; Computer science","score_opus":0.05722033088303339,"score_gpt":0.2951426974492042,"score_spread":0.2379223665661708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093611784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98822325,0.00008096051,0.0048111626,0.00026003204,0.000013861837,0.00007024727,0.00004324735,0.000019795227,0.0064773937],"genre_scores_gemma":[0.99897885,0.000015775628,0.000676781,0.000011021841,0.0000034800908,0.0000152675,0.000016032374,0.0000033538252,0.00027953048],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954875,0.0021433204,0.00021915944,0.0006669172,0.0008448684,0.0006382245],"domain_scores_gemma":[0.9737017,0.014401564,0.0044828793,0.002839827,0.0023745708,0.0021994712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043568723,0.000304622,0.00031744732,0.0013026219,0.0011177346,0.0016899566,0.0006476087,0.0003867884,0.0029479212],"category_scores_gemma":[0.030120932,0.0001575157,0.0004218372,0.0010767971,0.0027548438,0.0015574864,0.0030933276,0.0005204002,0.00014439363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043060607,0.0002340671,0.8952467,0.00009621076,0.00018635065,0.00022889108,0.0112988055,0.0023247262,0.0020161045,0.024463588,0.00057874515,0.06289524],"study_design_scores_gemma":[0.00004068757,0.00038573556,0.95316696,0.00007240848,0.00013021886,0.00013923917,0.017941456,0.0084623825,0.0016852343,0.015068524,0.0028638984,0.00004326426],"about_ca_topic_score_codex":0.0052777054,"about_ca_topic_score_gemma":0.0067882636,"teacher_disagreement_score":0.0052777054,"about_ca_system_score_codex":0.0016233588,"about_ca_system_score_gemma":0.0021804962,"threshold_uncertainty_score":0.023041666},"labels":[],"label_agreement":null},{"id":"W3096374264","doi":"10.3390/jrfm13110258","title":"Technology Acquisition and SMEs Performance, the Role of Innovation, Export and the Perception of Owner-Managers","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Mediation; Sample (material); Index (typography); Industrial organization; Moderated mediation; Export performance; Marketing; Perception; Emerging markets; Kenya; Finance","score_opus":0.007454345989635086,"score_gpt":0.17923172355263253,"score_spread":0.17177737756299744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096374264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988888,0.00006313052,0.00002618521,0.000057121095,0.0000010841809,0.0000018646556,0.000020231313,4.273866e-7,0.00094122585],"genre_scores_gemma":[0.9996177,0.000030296364,0.000016068441,0.000005131366,0.0000014528752,0.0000014433805,0.000020972753,1.8182715e-7,0.00030670405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995983,0.00014489549,0.000034295284,0.000041891104,0.000086307926,0.00009435086],"domain_scores_gemma":[0.99467283,0.002304949,0.0020756903,0.00013994197,0.00022192358,0.0005846813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010407264,0.0001272671,0.00013987636,0.00035801795,0.00030979104,0.0009087871,0.00015597863,0.00031878514,0.0043132664],"category_scores_gemma":[0.0043163868,0.00006466986,0.00021338463,0.00032206354,0.0005177633,0.00070477324,0.00070288114,0.00045133667,0.00028339255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008287819,0.00012976608,0.99296063,0.000020560132,0.000026491914,0.00013876271,0.0013298828,0.00011997224,0.000326841,0.00028914315,0.00008026658,0.004494827],"study_design_scores_gemma":[0.0000025913089,0.00014087318,0.9965238,0.000018057233,0.000015065012,0.00007757774,0.0023501916,0.0001872192,0.00015336416,0.00010430617,0.0004233273,0.000003404964],"about_ca_topic_score_codex":0.0023813094,"about_ca_topic_score_gemma":0.003945401,"teacher_disagreement_score":0.0043132664,"about_ca_system_score_codex":0.0002841108,"about_ca_system_score_gemma":0.00038323004,"threshold_uncertainty_score":0.014429271},"labels":[],"label_agreement":null},{"id":"W3107678586","doi":"10.1093/icc/dtaa048","title":"Successful transition to a market economy: an interpretation from organizational ecology theory and institutional theory","year":2020,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Organizational ecology; Economics; Private sector; Legitimacy; Institutional theory; Economic system; Ecological modernization; Ecology; Politics; Political science; Economic growth; Sustainability; Management","score_opus":0.10982523370544929,"score_gpt":0.21787209561250293,"score_spread":0.10804686190705363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107678586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4426382,0.001429096,0.11293861,0.039282303,0.00021379763,0.0003425778,0.00014754054,0.00010289603,0.40290502],"genre_scores_gemma":[0.99636,0.0001251922,0.0023391112,0.00017482924,0.000021136804,0.000031921772,0.00001120581,0.0000044701173,0.000932111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865353,0.00073543546,0.00004498794,0.00014791152,0.00017627909,0.00024175584],"domain_scores_gemma":[0.99695575,0.0013761136,0.000520881,0.0002787192,0.00038020598,0.00048837875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032226422,0.00018996178,0.0002930804,0.0025722696,0.0020697126,0.004551192,0.00083065947,0.0016656392,0.005665998],"category_scores_gemma":[0.0036556479,0.00018396412,0.0005286252,0.0010569803,0.016547922,0.0045876186,0.003492389,0.0013013149,0.00026471846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068733025,0.000032779375,0.0016160043,0.00001853266,0.0000042824568,0.00014432735,0.0008371492,0.0008515103,0.00006770922,0.9936831,0.00031495985,0.0024227784],"study_design_scores_gemma":[0.000044912744,0.000051023046,0.005385272,0.00010020551,0.000009718287,0.00018418771,0.0056133945,0.010768558,0.00020135906,0.9669685,0.01065733,0.000015550379],"about_ca_topic_score_codex":0.0022065255,"about_ca_topic_score_gemma":0.002364201,"teacher_disagreement_score":0.005665998,"about_ca_system_score_codex":0.0035392025,"about_ca_system_score_gemma":0.0022949588,"threshold_uncertainty_score":0.025678873},"labels":[],"label_agreement":null},{"id":"W3107887668","doi":"10.3386/w28152","title":"Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Business; Medicine; Infectious disease (medical specialty)","score_opus":0.5995750125449051,"score_gpt":0.48097648129073545,"score_spread":0.11859853125416964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107887668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912486,0.0020774486,0.00032386836,0.0020773646,0.000015916688,0.000015979198,0.0007636856,0.000007001103,0.0034700076],"genre_scores_gemma":[0.998133,0.00084377965,0.00008068384,0.00020194646,0.000024768411,0.000008351311,0.00034373763,0.0000024557846,0.00036134102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998298,0.0008835766,0.000093306975,0.00022298127,0.00015446257,0.0003477321],"domain_scores_gemma":[0.96253103,0.02187062,0.010827569,0.0021244637,0.0013203125,0.0013260333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037545073,0.00024977943,0.00046015368,0.0010667213,0.0006754323,0.0012066454,0.00074610894,0.0014094677,0.00463974],"category_scores_gemma":[0.019422933,0.00019925834,0.00074226275,0.0017116617,0.0023200137,0.0011474666,0.0017299346,0.0014916251,0.00048015369],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012243869,0.00061596633,0.9523798,0.00029591672,0.0010073836,0.000470195,0.0017128813,0.0065657594,0.00041037798,0.004204369,0.0027138882,0.028399073],"study_design_scores_gemma":[0.00018812448,0.0005226769,0.9856235,0.00012883633,0.00046583996,0.000090185145,0.0026808926,0.003144438,0.00042810093,0.0026737473,0.0040187375,0.000035046352],"about_ca_topic_score_codex":0.04395085,"about_ca_topic_score_gemma":0.031229934,"teacher_disagreement_score":0.04395085,"about_ca_system_score_codex":0.0009315685,"about_ca_system_score_gemma":0.0006236498,"threshold_uncertainty_score":0.087390065},"labels":[],"label_agreement":null},{"id":"W3108793670","doi":"10.5267/j.msl.2020.11.004","title":"The effects of strategy and market orientation on the performance of Vietnamese startups","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Market orientation; Context (archaeology); Structural equation modeling; Business; Marketing; Industrial organization; Computer science","score_opus":0.013562570178434345,"score_gpt":0.19433054670045563,"score_spread":0.18076797652202128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108793670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990459,0.00005300455,0.000014095474,0.000030131603,0.000002211461,0.0000044545027,0.000034892488,5.6970015e-7,0.00081467454],"genre_scores_gemma":[0.99953914,0.000043106804,0.000016235332,0.0000078771345,0.0000025431618,0.0000024116828,0.000044015942,5.454518e-7,0.0003441331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994875,0.00015625794,0.000030048828,0.000046183548,0.000108635366,0.00017136213],"domain_scores_gemma":[0.9957903,0.000981766,0.0011473454,0.00010302944,0.0004322389,0.001545359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089423684,0.00019863065,0.000120734345,0.00071564695,0.00034451997,0.000965893,0.00016671985,0.00022456577,0.0026525978],"category_scores_gemma":[0.0029015283,0.00007374779,0.0001919242,0.0005364387,0.00033769407,0.00034403865,0.0005261535,0.00038635076,0.0003402081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078341385,0.00016584998,0.99229264,0.00001441634,0.000021542217,0.00016765157,0.0009777024,0.00005090625,0.00031281912,0.00007874738,0.00009514948,0.0057443236],"study_design_scores_gemma":[0.0000011191946,0.00016791059,0.9981104,0.000007267582,0.000005829239,0.000026963693,0.0013470254,0.000055239867,0.00007169523,0.000018267876,0.00018601329,0.0000023369662],"about_ca_topic_score_codex":0.0054257675,"about_ca_topic_score_gemma":0.009007268,"teacher_disagreement_score":0.0054257675,"about_ca_system_score_codex":0.0005185782,"about_ca_system_score_gemma":0.00069958775,"threshold_uncertainty_score":0.010788381},"labels":[],"label_agreement":null},{"id":"W3110750906","doi":"10.1016/j.jebo.2020.10.026","title":"The impact of emerging market competition on innovation and business strategy: Evidence from Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Competition (biology); Innovator; Product innovation; Industrial organization; Ex-ante; Economics; Empirical evidence; Product market; Product (mathematics); Emerging markets; New product development; Business; Microeconomics; Marketing; Entrepreneurship","score_opus":0.04110959376914874,"score_gpt":0.24791898422653721,"score_spread":0.20680939045738847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110750906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979182,0.002906594,0.00010827645,0.002007825,0.000021444226,0.00003647741,0.003353517,0.000006663873,0.012377192],"genre_scores_gemma":[0.9926998,0.002447667,0.0001461688,0.00022316302,0.000009645281,0.0000076246547,0.0017598531,0.000006049082,0.0027000553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849856,0.00012809974,0.000073253876,0.00015115098,0.0006404382,0.00050863496],"domain_scores_gemma":[0.9860724,0.0029782837,0.0019679416,0.00033062455,0.0067622396,0.0018885501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017163759,0.0002987273,0.000540354,0.0023948597,0.003642846,0.0029679607,0.0013622612,0.0008441029,0.0038704646],"category_scores_gemma":[0.008041168,0.00025992907,0.0005927907,0.007218538,0.001810561,0.00092054904,0.0012449927,0.0012868831,0.00026388312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059575436,0.00027964482,0.95849836,0.0002010625,0.00024545626,0.00043798494,0.003877938,0.00096097164,0.00032556275,0.005467213,0.0066113137,0.022498788],"study_design_scores_gemma":[0.00006644915,0.000045581502,0.9872695,0.00010363686,0.00014194135,0.00004623471,0.0050547947,0.0007153734,0.00016875786,0.00034300267,0.006006419,0.00003828484],"about_ca_topic_score_codex":0.9976407,"about_ca_topic_score_gemma":0.99892056,"teacher_disagreement_score":0.039128315,"about_ca_system_score_codex":0.039128315,"about_ca_system_score_gemma":0.066563115,"threshold_uncertainty_score":0.28389716},"labels":[],"label_agreement":null},{"id":"W3116378146","doi":"10.5267/j.uscm.2020.12.006","title":"The effect of entrepreneurial orientation on the export performance of apparel industry","year":2020,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proactivity; Entrepreneurial orientation; Export performance; Business; Clothing; Marketing; Affect (linguistics); Dimension (graph theory); Industrial organization; Clothing industry; Textile industry; Entrepreneurship; Psychology; Economics; Management; Finance; Mathematics","score_opus":0.02062584198064878,"score_gpt":0.21546981594823233,"score_spread":0.19484397396758354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116378146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987845,0.000042963362,0.000033659962,0.000028457966,0.0000028886727,0.0000022019601,0.00001460438,9.437649e-7,0.0010898776],"genre_scores_gemma":[0.9995777,0.000036335565,0.00003338883,0.0000075692747,0.0000049063965,0.0000011463568,0.000026646514,5.865463e-7,0.00031173427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955887,0.00014150733,0.00003550663,0.000038174585,0.00010635458,0.00011946779],"domain_scores_gemma":[0.9934797,0.0020482673,0.0022124862,0.00020708753,0.00050498545,0.0015474895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085465744,0.00018060415,0.00012752306,0.00039741633,0.00024334699,0.00092043815,0.000100112775,0.00023015557,0.0017158092],"category_scores_gemma":[0.0039651394,0.000050504463,0.00021446098,0.000392518,0.00027175635,0.00028607514,0.00048276916,0.00052546686,0.00024949785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013542891,0.00031423187,0.9903526,0.000009460806,0.000033071945,0.00013891129,0.00018171886,0.00019148253,0.00062999874,0.00009542345,0.000056329754,0.007861377],"study_design_scores_gemma":[0.0000015495355,0.00011955876,0.99907875,0.0000049579603,0.000009658089,0.000037455906,0.00026869826,0.00018015255,0.0001398645,0.000048098602,0.0001083988,0.0000029704652],"about_ca_topic_score_codex":0.0008981545,"about_ca_topic_score_gemma":0.001589679,"teacher_disagreement_score":0.0017158092,"about_ca_system_score_codex":0.00021548726,"about_ca_system_score_gemma":0.00030504807,"threshold_uncertainty_score":0.0057399273},"labels":[],"label_agreement":null},{"id":"W3119450499","doi":"10.1093/jeea/jvz049","title":"Scientific Education and Innovation: From Technical Diplomas to University Stem Degrees","year":2019,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Sorting; Process (computing); Higher education; Business; Economics; Political science; Economic growth; Computer science","score_opus":0.01803944788894996,"score_gpt":0.19586554735733852,"score_spread":0.17782609946838857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119450499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815471,0.0007560722,0.00014444202,0.0022689716,0.000038714617,0.000011509043,0.00014655024,0.000007158412,0.015079321],"genre_scores_gemma":[0.99818784,0.00021473416,0.000038299542,0.00016754339,0.00004783783,0.00000629652,0.00006307973,0.0000019011749,0.0012725313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986829,0.00046400446,0.000044323588,0.00016725458,0.00017657806,0.00046495307],"domain_scores_gemma":[0.98464394,0.008972178,0.0035825875,0.00026074753,0.00048092572,0.0020595586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015182067,0.00016354452,0.0004022158,0.00084132777,0.00061378884,0.0023570734,0.00043754125,0.00092463533,0.014787366],"category_scores_gemma":[0.010200678,0.000100579826,0.0005852702,0.0013171103,0.0010846752,0.00085101236,0.0016463695,0.0010019762,0.0007088556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063667,0.0078366175,0.77692664,0.00088178425,0.00046786724,0.0017730478,0.003184935,0.012214624,0.004266713,0.04172487,0.008342362,0.13601393],"study_design_scores_gemma":[0.0004396437,0.0014248771,0.9644964,0.00014386667,0.00026376374,0.00015539829,0.0035323182,0.002570522,0.0018401712,0.014826322,0.010273914,0.00003284144],"about_ca_topic_score_codex":0.010014942,"about_ca_topic_score_gemma":0.007924799,"teacher_disagreement_score":0.014787366,"about_ca_system_score_codex":0.0017625181,"about_ca_system_score_gemma":0.0020855374,"threshold_uncertainty_score":0.049468696},"labels":[],"label_agreement":null},{"id":"W3121027325","doi":"10.5267/j.ac.2020.12.008","title":"The role of the coffee industry in sustainable economic development in Vietnam","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distributed lag; Economics; Null hypothesis; Gross domestic product; Consumption (sociology); Stock (firearms); Agricultural economics; Production (economics); Short run; Descriptive statistics; Econometrics; Macroeconomics; Geography; Mathematics; Statistics","score_opus":0.010570063905406843,"score_gpt":0.19615584659362645,"score_spread":0.1855857826882196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121027325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96958935,0.003175255,0.00029804674,0.001882474,0.000021441423,0.000015042769,0.00020896141,0.000003797217,0.024805633],"genre_scores_gemma":[0.997422,0.001111832,0.000089643014,0.000025638736,0.000004670795,0.0000017281351,0.00003736745,0.0000011129516,0.0013061018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998503,0.00004497721,0.000005567496,0.000015142526,0.000029504481,0.000054398242],"domain_scores_gemma":[0.9996119,0.00007679829,0.000119676544,0.00000712724,0.0000845989,0.00009994916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029029063,0.00007495307,0.000060722294,0.00041914778,0.00038228152,0.0012419784,0.00011320576,0.000101544196,0.0013990493],"category_scores_gemma":[0.0004839275,0.000069032176,0.00008516268,0.0007142955,0.00034841106,0.000628784,0.00042753975,0.0002258662,0.00006187565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110890156,0.00014324657,0.8203147,0.00067315425,0.000090171634,0.004599382,0.00958038,0.0074991225,0.0033978904,0.065822825,0.0039998502,0.083768375],"study_design_scores_gemma":[0.0000061920623,0.000103877726,0.8971986,0.0003689005,0.000040415613,0.00045046242,0.030884385,0.0070261653,0.0012550346,0.0072292234,0.055416808,0.000019883919],"about_ca_topic_score_codex":0.054051675,"about_ca_topic_score_gemma":0.08951281,"teacher_disagreement_score":0.054051675,"about_ca_system_score_codex":0.00191978,"about_ca_system_score_gemma":0.0020709084,"threshold_uncertainty_score":0.10747409},"labels":[],"label_agreement":null},{"id":"W3121152751","doi":"","title":"Are Intellectual Property Rights Detrimental to Innovation","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intellectual property; Externality; Set (abstract data type); Business; Property rights; Industrial organization; Law and economics; Microeconomics; Economics; Law; Computer science; Political science","score_opus":0.08252334118615351,"score_gpt":0.30942851261084064,"score_spread":0.22690517142468714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121152751","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.647909,0.004390904,0.02789823,0.029016737,0.000360644,0.00008240313,0.0007818885,0.0001687447,0.28939146],"genre_scores_gemma":[0.9934755,0.001084442,0.0009567589,0.0008438751,0.00030673362,0.00003317652,0.00009795328,0.000017996334,0.0031835474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99421304,0.0017332478,0.00034005143,0.00100026,0.001640133,0.0010732657],"domain_scores_gemma":[0.92098415,0.04288659,0.022125086,0.0076586055,0.0033282049,0.003017457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005776664,0.00035573574,0.00087855756,0.0012943625,0.0013975791,0.0070809326,0.0010193052,0.0043326844,0.013974305],"category_scores_gemma":[0.044453446,0.00036955334,0.00077390904,0.0013165202,0.006829655,0.008637822,0.0019712942,0.002397237,0.0014914705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002462384,0.00038709305,0.03551548,0.00050065486,0.000132489,0.0006482602,0.00067146326,0.007678839,0.0050345417,0.8801096,0.0054192552,0.06365592],"study_design_scores_gemma":[0.00014254637,0.00016919697,0.018474776,0.00018540575,0.000097833814,0.00067229196,0.0007108261,0.004670184,0.0045445603,0.9496271,0.020660812,0.00004438405],"about_ca_topic_score_codex":0.00095317204,"about_ca_topic_score_gemma":0.00066989544,"teacher_disagreement_score":0.013974305,"about_ca_system_score_codex":0.0013519749,"about_ca_system_score_gemma":0.0022914011,"threshold_uncertainty_score":0.046748698},"labels":[],"label_agreement":null},{"id":"W3121185944","doi":"10.2139/ssrn.244524","title":"Multinationals and the Canadian Innovation Process","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Statistics Canada","funders":"","keywords":"Process (computing); Business; Industrial organization; Computer science","score_opus":0.012195793734614145,"score_gpt":0.2162839952949454,"score_spread":0.20408820156033125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121185944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5425587,0.014811885,0.0041724253,0.05149378,0.00031030347,0.00014019692,0.0018412343,0.00011512593,0.3845563],"genre_scores_gemma":[0.96576893,0.005483028,0.00072370656,0.0005719189,0.00007400789,0.000016648162,0.00023709123,0.000019501947,0.027105229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980484,0.00027748584,0.00005415562,0.00017019926,0.00058136607,0.00086847204],"domain_scores_gemma":[0.9916242,0.0027873325,0.0010017559,0.00024269884,0.0028197127,0.0015243578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035135145,0.00036176556,0.00048772298,0.0040062843,0.0068282024,0.0061817453,0.0010201368,0.0017794949,0.012202855],"category_scores_gemma":[0.017395133,0.00025052187,0.00054320006,0.006737423,0.0041017127,0.0027388271,0.0020146652,0.0019598177,0.00038585076],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016646272,0.000059969047,0.036695372,0.00011876908,0.000033887103,0.00025041212,0.005045184,0.009467268,0.00015335658,0.8926941,0.01661072,0.038704462],"study_design_scores_gemma":[0.0002113617,0.000088702196,0.29861197,0.00074280496,0.00019276165,0.0002947756,0.024238542,0.037867233,0.0006823695,0.31300056,0.32371175,0.00035724737],"about_ca_topic_score_codex":0.9937419,"about_ca_topic_score_gemma":0.9949587,"teacher_disagreement_score":0.88214844,"about_ca_system_score_codex":0.11785153,"about_ca_system_score_gemma":0.09583022,"threshold_uncertainty_score":0.85507673},"labels":[],"label_agreement":null},{"id":"W3121207955","doi":"","title":"Des déterminants de la dynamique entrepreneuriale dans les régions françaises (1994-2003),","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Incentive; Entrepreneurship; Order (exchange); Economics; Economic geography; Unemployment; Panel data; Econometrics; Macroeconomics; Microeconomics; Finance","score_opus":0.01788845968535793,"score_gpt":0.22858127599463332,"score_spread":0.2106928163092754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121207955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271446,0.0018059163,0.0006574692,0.00050796004,0.000009872126,0.000008774096,0.0012917052,0.000014357023,0.0029895569],"genre_scores_gemma":[0.99650514,0.00059709785,0.00036439722,0.000017372784,0.0000115918665,0.000008372752,0.0007995132,0.000003650856,0.0016928148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949753,0.00014285537,0.000020393545,0.00010692732,0.00009522511,0.00013704415],"domain_scores_gemma":[0.99759465,0.0009158777,0.00069000234,0.00009755229,0.0003609857,0.0003410255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330927,0.00023969782,0.00028498055,0.0017095014,0.00066804566,0.0019933318,0.00024522658,0.00034615904,0.0024843107],"category_scores_gemma":[0.0029539033,0.0001268034,0.00052994274,0.0018747956,0.0004748273,0.000670578,0.00046049216,0.00045774507,0.00028990727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001144622,0.00005921357,0.9677776,0.000058997797,0.00016714679,0.00035142165,0.0014897268,0.0040300954,0.0006967705,0.0049459557,0.0010964393,0.019212069],"study_design_scores_gemma":[0.000004262973,0.000014525374,0.99350065,0.000015387921,0.000015094696,0.00006400417,0.00054613536,0.0010225074,0.000091380156,0.0001460081,0.0045728073,0.00000729154],"about_ca_topic_score_codex":0.54655445,"about_ca_topic_score_gemma":0.51124734,"teacher_disagreement_score":0.54655445,"about_ca_system_score_codex":0.004484002,"about_ca_system_score_gemma":0.0025566272,"threshold_uncertainty_score":0.912232},"labels":[],"label_agreement":null},{"id":"W3121216712","doi":"","title":"The Internationalization of Small and Medium-Sized Firms","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Internationalization; Mindset; Competitor analysis; Sample (material); Business; Industrial organization; Marketing; Business administration; International trade","score_opus":0.01333893283341999,"score_gpt":0.21007853617548614,"score_spread":0.19673960334206614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121216712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98581463,0.00032484115,0.0003385063,0.00016373217,0.000005712243,0.000015432663,0.0001313197,0.0000042137194,0.013201566],"genre_scores_gemma":[0.998857,0.00017223314,0.00006647396,0.000010793005,0.0000057123225,0.0000050498165,0.00013025239,0.0000011185565,0.00075137895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994814,0.00012121343,0.00004305973,0.000075557844,0.00012394198,0.0001549588],"domain_scores_gemma":[0.99376065,0.0013363743,0.0034727152,0.00022967193,0.00039367404,0.00080696784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073668093,0.00013590966,0.000152128,0.0014903417,0.0003888497,0.0018114202,0.00022194184,0.0001964507,0.0031209681],"category_scores_gemma":[0.0057060802,0.000061204126,0.00014155637,0.0017069725,0.0006107192,0.0013395458,0.0011623153,0.00036654796,0.00021927786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014906508,0.00018389884,0.9366105,0.000057923422,0.00003734899,0.00038791404,0.0030174726,0.0012168675,0.00075826416,0.011697295,0.000954643,0.044928666],"study_design_scores_gemma":[0.000007801856,0.000095666066,0.9834431,0.00004421595,0.000016262959,0.00018842303,0.0057386206,0.0009319641,0.00053537876,0.0029781768,0.006011365,0.000009084051],"about_ca_topic_score_codex":0.002306852,"about_ca_topic_score_gemma":0.0032448913,"teacher_disagreement_score":0.0031209681,"about_ca_system_score_codex":0.0006474485,"about_ca_system_score_gemma":0.00032567978,"threshold_uncertainty_score":0.010440648},"labels":[],"label_agreement":null},{"id":"W3121228658","doi":"","title":"What Explains the Canada-U.S. Software Investment Intensity Gap?","year":2014,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Productivity; Software; State (computer science); Business; Labour economics; Demographic economics; Economics; Economic growth; Political science; Computer science; Law","score_opus":0.13302276414959707,"score_gpt":0.2979899044785702,"score_spread":0.16496714032897314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121228658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72005576,0.021632506,0.0010132447,0.118612126,0.00024292749,0.00006461564,0.009024922,0.00010007532,0.12925386],"genre_scores_gemma":[0.98585343,0.0058439826,0.0003630885,0.002295599,0.000046419114,0.000012498791,0.0016218467,0.000023968209,0.0039391243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997928,0.00008972408,0.00005528563,0.00015208995,0.00081446907,0.00096040004],"domain_scores_gemma":[0.99390393,0.0011381321,0.0010659574,0.0001067125,0.0027872422,0.0009980141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015233895,0.00018607065,0.00034820684,0.0032900367,0.0027014846,0.0033968012,0.0008848571,0.0006771288,0.0049474486],"category_scores_gemma":[0.007844792,0.0001732381,0.00038754518,0.008292033,0.001697522,0.0011282788,0.001072198,0.0011564074,0.00032759554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025245635,0.00011459983,0.5982651,0.00088028284,0.00013145705,0.0009249833,0.017230771,0.0020809942,0.0009312557,0.12052469,0.099620596,0.15904284],"study_design_scores_gemma":[0.000017031498,0.000025700368,0.91493636,0.00053746224,0.000056982222,0.00013380645,0.012984125,0.001387657,0.00055047707,0.003137233,0.066176705,0.000056437722],"about_ca_topic_score_codex":0.99177414,"about_ca_topic_score_gemma":0.99288756,"teacher_disagreement_score":0.060079794,"about_ca_system_score_codex":0.060079794,"about_ca_system_score_gemma":0.058233816,"threshold_uncertainty_score":0.43591148},"labels":[],"label_agreement":null},{"id":"W3121259724","doi":"","title":"Marketing, R&D, and Startup Valuation","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Quest University Canada","funders":"","keywords":"Valuation (finance); Profitability index; Business; Revenue; Marketing; Venture capital; Quality (philosophy); Industrial organization; Finance","score_opus":0.016586278408776762,"score_gpt":0.2160579348326666,"score_spread":0.19947165642388984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121259724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58971137,0.0062907934,0.18088834,0.0059508225,0.00012819475,0.00052856206,0.0015281548,0.00020278615,0.21477094],"genre_scores_gemma":[0.96623635,0.001554197,0.005888665,0.000093891016,0.000059494818,0.00010680948,0.00014328116,0.000020138119,0.02589716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999226,0.00026812707,0.000022477296,0.0001410406,0.00011917826,0.00022305896],"domain_scores_gemma":[0.9972445,0.0017205195,0.00050050445,0.00012571701,0.00012727949,0.00028152033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015795392,0.0008490406,0.0009988077,0.000936932,0.000803817,0.0049188514,0.00084194524,0.0028169372,0.01250663],"category_scores_gemma":[0.005296433,0.00073814957,0.0007888054,0.0012558672,0.0019155516,0.004321716,0.0011017343,0.001840434,0.0010762013],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039200715,0.00028709573,0.012868659,0.00021807665,0.000056324883,0.00088669773,0.00022498156,0.37750715,0.0042928495,0.55192035,0.002792193,0.048553586],"study_design_scores_gemma":[0.00012987811,0.00050513016,0.022898167,0.00022210638,0.000116840536,0.0006046538,0.0007901609,0.43984926,0.0049101976,0.5126828,0.017139101,0.0001517912],"about_ca_topic_score_codex":0.00458302,"about_ca_topic_score_gemma":0.0034986841,"teacher_disagreement_score":0.01250663,"about_ca_system_score_codex":0.003705601,"about_ca_system_score_gemma":0.0016056753,"threshold_uncertainty_score":0.041838884},"labels":[],"label_agreement":null},{"id":"W3121322211","doi":"","title":"Comparing the Innovation Performance of Canadian Firms and those of Selected European Countries: An Econometric Analysis","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Econometric analysis; Probit model; Business; Government (linguistics); Econometric model; Economics; Economic geography; Econometrics","score_opus":0.08226562567105775,"score_gpt":0.2744054735826097,"score_spread":0.19213984791155195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121322211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98494947,0.0012229722,0.0018379458,0.00045888757,0.000020766667,0.000060809518,0.002468511,0.000042820637,0.0089377845],"genre_scores_gemma":[0.99009424,0.0010633084,0.001423187,0.00007145594,0.000015722811,0.000024562656,0.0024549155,0.000011741024,0.0048409216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991359,0.00011033046,0.000032003136,0.00012187233,0.00026631524,0.0003335255],"domain_scores_gemma":[0.9977391,0.0010124048,0.00029065486,0.00008125217,0.0006516634,0.00022485979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017926875,0.00041403007,0.0005833413,0.003560206,0.0015921603,0.0021354936,0.00076675153,0.0006574638,0.003260566],"category_scores_gemma":[0.0052996348,0.00022883023,0.0013907765,0.00790283,0.0006722968,0.0004978599,0.0006167044,0.00063463306,0.00032869642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024802692,0.00014248912,0.9072835,0.00014680024,0.0004201081,0.00040721748,0.001702674,0.02920787,0.00063608715,0.008448105,0.0032050654,0.0481519],"study_design_scores_gemma":[0.000019319068,0.000060060753,0.97011167,0.000044953747,0.00019936646,0.00006946284,0.0020369967,0.020437196,0.00028058368,0.0005173651,0.0061630267,0.00006008137],"about_ca_topic_score_codex":0.98027897,"about_ca_topic_score_gemma":0.9802949,"teacher_disagreement_score":0.98161197,"about_ca_system_score_codex":0.018388025,"about_ca_system_score_gemma":0.017239327,"threshold_uncertainty_score":0.1334151},"labels":[],"label_agreement":null},{"id":"W3121348516","doi":"","title":"The Determinants of R&D Expenditures: A Study of the Canadian Biotechnology Industry","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Competition (biology); Debt; Equity (law); Multitude; Economics; Business; Finance; Political science; Biology","score_opus":0.014693184910060655,"score_gpt":0.2232535288518343,"score_spread":0.20856034394177364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121348516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98918706,0.001552468,0.00016690213,0.0011999129,0.000006209113,0.000033247685,0.0017521144,0.000010052929,0.0060919635],"genre_scores_gemma":[0.99336,0.0016297222,0.00025805284,0.00009887022,0.00000904564,0.000009267819,0.0013846502,0.0000062485456,0.003244346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927455,0.000056553254,0.000018432012,0.00006938942,0.0002445274,0.00033644028],"domain_scores_gemma":[0.9970696,0.00065469305,0.0006249789,0.00006369314,0.000811466,0.00077554485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006868725,0.00041742143,0.00036569618,0.0026630915,0.0029059516,0.0016571656,0.0008875466,0.00057258666,0.0046592387],"category_scores_gemma":[0.003087921,0.00023496438,0.0005399598,0.008215803,0.00084079,0.0004554689,0.00075145636,0.0007549447,0.0003828364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002349678,0.00020429489,0.9536999,0.00018072722,0.00012285296,0.0005272386,0.0021138766,0.0026043078,0.00088535395,0.004390273,0.004426922,0.030609215],"study_design_scores_gemma":[0.000011606691,0.000028471793,0.990316,0.000033941586,0.00004244519,0.00005221619,0.002153536,0.0013746669,0.00016050714,0.00017183632,0.005638763,0.000016083543],"about_ca_topic_score_codex":0.9915863,"about_ca_topic_score_gemma":0.99476033,"teacher_disagreement_score":0.03284947,"about_ca_system_score_codex":0.03284947,"about_ca_system_score_gemma":0.029729288,"threshold_uncertainty_score":0.23834068},"labels":[],"label_agreement":null},{"id":"W3121400994","doi":"","title":"Intra-Industry Effects of Completed and Cancelled Cross Border Acquisitions in Australia: A Test of the Acquisition Probability Hypothesis","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mergers and acquisitions; Assertion; Test (biology); Business; Affect (linguistics); Monetary economics; Economics; Industrial organization; Finance; Psychology; Computer science","score_opus":0.017795251517308774,"score_gpt":0.2607170279690084,"score_spread":0.24292177645169966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121400994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99930155,0.000041227508,0.000047994577,0.000096430165,0.0000022071927,0.00000445207,0.000038910217,0.0000018333852,0.0004653081],"genre_scores_gemma":[0.9988943,0.00003651237,0.000034376568,0.000017801753,0.000007232639,0.000004118299,0.00009025357,0.0000012867143,0.00091405545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985879,0.00049190363,0.00011050481,0.00024097622,0.00024677388,0.000321929],"domain_scores_gemma":[0.9662141,0.015387224,0.012099891,0.0010401737,0.0012607076,0.0039980356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020798973,0.00021544678,0.00054652645,0.00067852956,0.00043021125,0.001169052,0.000574356,0.00075933186,0.0053683603],"category_scores_gemma":[0.012793348,0.00024021765,0.0006301852,0.00057183026,0.00089412264,0.00089246884,0.0019391702,0.0015758916,0.00041763534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083426683,0.0005395745,0.98959994,0.000017250162,0.00019184532,0.0003535059,0.00051973504,0.0013460108,0.0010137502,0.0003544101,0.00021693402,0.0050127623],"study_design_scores_gemma":[0.000011326895,0.0002684218,0.9973562,0.0000033637143,0.0000405946,0.00003331485,0.00025817935,0.0017213656,0.00010152284,0.00008118474,0.00011963855,0.000004871814],"about_ca_topic_score_codex":0.03982609,"about_ca_topic_score_gemma":0.032135103,"teacher_disagreement_score":0.03982609,"about_ca_system_score_codex":0.0007613737,"about_ca_system_score_gemma":0.00088393525,"threshold_uncertainty_score":0.079188585},"labels":[],"label_agreement":null},{"id":"W3121426985","doi":"10.1111/j.1467-6451.2010.00429.x","title":"THE IMPACT OF INITIAL FINANCIAL STATE ON FIRM DURATION ACROSS ENTRY COHORTS<sup>*</sup>","year":2010,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Lakehead University; Bank of Canada","funders":"","keywords":"Leverage (statistics); Duration (music); Aggregate data; Business; Economics; Perspective (graphical); Hazard model; Finance; Monetary economics; Econometrics; Statistics","score_opus":0.04311181353887208,"score_gpt":0.28818612565510937,"score_spread":0.2450743121162373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121426985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969977,0.00023076755,0.00016643705,0.00020603197,0.000004516546,0.0000067659407,0.0009081762,0.000007781269,0.001471689],"genre_scores_gemma":[0.9983259,0.000060121107,0.000035313184,0.000014942893,0.000005429995,0.0000024179017,0.0007956246,0.0000031156096,0.0007570853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991049,0.00014956445,0.000052860276,0.00014651014,0.00017230744,0.0003737655],"domain_scores_gemma":[0.9589705,0.022601945,0.009516465,0.0013499521,0.0024433052,0.00511786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003016106,0.0001525801,0.00024952166,0.00096543116,0.0008096444,0.0019702625,0.0007005325,0.00053550967,0.007227842],"category_scores_gemma":[0.022637175,0.00012364946,0.0004562111,0.0011333396,0.0008423457,0.0006386765,0.0011082819,0.0009626678,0.00077177916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021910638,0.00002981909,0.991863,0.000007259887,0.000030369836,0.000057343117,0.00030045185,0.00045311247,0.0001406116,0.00027999905,0.00034842588,0.0062704524],"study_design_scores_gemma":[0.0000024271972,0.000046368285,0.9983615,0.0000052413807,0.000019338211,0.000020756612,0.00034088077,0.00076025684,0.000092398164,0.00010955289,0.00023627662,0.0000050036406],"about_ca_topic_score_codex":0.21161099,"about_ca_topic_score_gemma":0.30285713,"teacher_disagreement_score":0.21161099,"about_ca_system_score_codex":0.0020536028,"about_ca_system_score_gemma":0.0016306768,"threshold_uncertainty_score":0.42075855},"labels":[],"label_agreement":null},{"id":"W3121448966","doi":"","title":"Information Technology and the Distribution of Inventive Activity","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"The Internet; Distribution (mathematics); Business; Marketing; Economic geography; Advertising; Economics; World Wide Web; Computer science","score_opus":0.018914772535097338,"score_gpt":0.25134712827956746,"score_spread":0.23243235574447013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121448966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833965,0.0015575957,0.0019286207,0.000523361,0.000007147243,0.0000108221,0.0004327057,0.000021031934,0.012122202],"genre_scores_gemma":[0.99852365,0.00041048473,0.00017724579,0.000011896105,0.000015891506,0.000005568005,0.0001357918,0.0000031328238,0.0007162191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994759,0.00015804029,0.000040362447,0.00011128594,0.00010271195,0.00011164662],"domain_scores_gemma":[0.97657555,0.014616731,0.005818444,0.00087512314,0.0011634179,0.0009507238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010831419,0.00011262853,0.00025280277,0.0040204194,0.00038281467,0.0018125139,0.00040809892,0.00053961127,0.005294758],"category_scores_gemma":[0.013210634,0.00012897563,0.00025586612,0.004841475,0.0010574576,0.001935788,0.00071848114,0.000490339,0.00075460086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028105988,0.00019991159,0.8937277,0.00013360285,0.00023388132,0.00039770102,0.0018089089,0.010376699,0.002896496,0.044675767,0.0013759031,0.043892376],"study_design_scores_gemma":[0.000044425953,0.00017302373,0.9441778,0.00007214305,0.000067231704,0.0006955976,0.0016232404,0.014072715,0.0015158752,0.030871056,0.0066484464,0.000038325372],"about_ca_topic_score_codex":0.002606601,"about_ca_topic_score_gemma":0.0023520978,"teacher_disagreement_score":0.005294758,"about_ca_system_score_codex":0.0008801763,"about_ca_system_score_gemma":0.0002486688,"threshold_uncertainty_score":0.017712772},"labels":[],"label_agreement":null},{"id":"W3121496510","doi":"","title":"Profit-Increasing Consumer Exit","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profitability index; Profit (economics); Phenomenon; Business; Market share; Product market; Economics; Market economy; Industrial organization; Commerce; Marketing; Microeconomics; Incentive","score_opus":0.016283195241060942,"score_gpt":0.20582563127628092,"score_spread":0.18954243603521997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121496510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90379506,0.00054543035,0.0127012385,0.0015915629,0.000050987477,0.00006276371,0.00013500503,0.00010007246,0.08101797],"genre_scores_gemma":[0.9967104,0.00011162689,0.0003850498,0.00012496063,0.000020377292,0.000007812722,0.00003115611,0.000005648401,0.0026029123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995123,0.00010668861,0.000019656012,0.00012008566,0.000094337345,0.00014688907],"domain_scores_gemma":[0.9961947,0.001391272,0.0011092382,0.0003614247,0.00054105755,0.00040222672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069048844,0.0001860772,0.00038248766,0.0004511861,0.00055290613,0.0011120256,0.00040768445,0.0007429935,0.007789486],"category_scores_gemma":[0.005366792,0.000098367585,0.0003910133,0.000347242,0.001961247,0.0018540033,0.0013239356,0.0010315832,0.000554001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012732074,0.00089089497,0.1916268,0.0005476172,0.00010344279,0.005523103,0.0075980704,0.011753659,0.022318205,0.5061426,0.0146825565,0.23753989],"study_design_scores_gemma":[0.00025506335,0.0018796006,0.42150363,0.00032348212,0.00015537406,0.0119499015,0.011339014,0.062583864,0.013850961,0.42524984,0.050658554,0.0002507218],"about_ca_topic_score_codex":0.0006508292,"about_ca_topic_score_gemma":0.00049285346,"teacher_disagreement_score":0.007789486,"about_ca_system_score_codex":0.0007155833,"about_ca_system_score_gemma":0.0003071539,"threshold_uncertainty_score":0.026058435},"labels":[],"label_agreement":null},{"id":"W3121498426","doi":"","title":"Death in the Industrial World: Plant Closures and Capital Retirement","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Work (physics); Business; Production (economics); Economics; Labour economics; Agricultural economics; Engineering; Geography","score_opus":0.11134046640765612,"score_gpt":0.3070824952938069,"score_spread":0.19574202888615078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121498426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818579,0.0024424691,0.0007274483,0.0017173971,0.000027600492,0.000022951503,0.0015875051,0.000011921604,0.011604837],"genre_scores_gemma":[0.9971047,0.0007628078,0.00007146074,0.00006777772,0.000015577656,0.0000037859807,0.0005362741,0.0000020610617,0.0014355027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956983,0.000079999816,0.000022006476,0.000047024532,0.000078855584,0.00020223504],"domain_scores_gemma":[0.9964645,0.0006069794,0.0018175559,0.00011282012,0.00041559912,0.00058250077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010184437,0.000121662364,0.00019452896,0.0014647767,0.00066653016,0.0012187127,0.00039247776,0.0005628893,0.0032745306],"category_scores_gemma":[0.0057997573,0.00009828479,0.00020795644,0.0017186089,0.00084194046,0.0016126573,0.0011455116,0.000708941,0.00024204585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019733897,0.000096750664,0.9310787,0.0000717407,0.000030336652,0.0005602838,0.0030150262,0.0023582191,0.00011887887,0.009886371,0.006839278,0.04574713],"study_design_scores_gemma":[0.000006279128,0.000059794755,0.9836234,0.000058032107,0.0000151312925,0.00022208864,0.0048097717,0.0017599749,0.00010494727,0.0033875215,0.0059351847,0.000017841776],"about_ca_topic_score_codex":0.056831498,"about_ca_topic_score_gemma":0.082544625,"teacher_disagreement_score":0.056831498,"about_ca_system_score_codex":0.0019159976,"about_ca_system_score_gemma":0.00074149173,"threshold_uncertainty_score":0.113001406},"labels":[],"label_agreement":null},{"id":"W3121503882","doi":"","title":"The Growth of Multinational Firms in the Great Recession","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"College of Engineering, Michigan State University","keywords":"Multinational corporation; Recession; Slowdown; Great recession; Global recession; Business; International economics; Financial crisis; Monetary economics; Economics; International trade; Labour economics; Macroeconomics; Economic growth; Finance","score_opus":0.04080734324410174,"score_gpt":0.28980288736932047,"score_spread":0.24899554412521874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121503882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97708786,0.0005944926,0.00029156375,0.0009286989,0.00001686202,0.000012084094,0.018554263,0.00003376799,0.0024804093],"genre_scores_gemma":[0.95752734,0.0008235745,0.00027336003,0.00016642445,0.000028228967,0.000027909033,0.039443307,0.000015490992,0.001694344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995388,0.00007157947,0.000038984163,0.00011544625,0.00009058092,0.00014465682],"domain_scores_gemma":[0.99709964,0.00048466036,0.0014455101,0.0001806616,0.00047530365,0.00031424343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802735,0.000249975,0.0003658869,0.001250662,0.0002525433,0.0012044717,0.00033766785,0.0005574697,0.001088104],"category_scores_gemma":[0.004831487,0.00020275908,0.00027018765,0.0026180933,0.00022982818,0.0009018853,0.0011436755,0.000968643,0.00073365186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019399454,0.000090308116,0.9591081,0.000072968425,0.00010623892,0.00022427487,0.00046093584,0.00690726,0.00035423107,0.0013308931,0.020073673,0.011077147],"study_design_scores_gemma":[0.000022861002,0.000040297477,0.980706,0.000038044895,0.000021903319,0.000083910054,0.0008829076,0.0071494547,0.00023407588,0.0004031614,0.010400193,0.000017151877],"about_ca_topic_score_codex":0.05626935,"about_ca_topic_score_gemma":0.064185835,"teacher_disagreement_score":0.05626935,"about_ca_system_score_codex":0.0011338298,"about_ca_system_score_gemma":0.0005972804,"threshold_uncertainty_score":0.11188364},"labels":[],"label_agreement":null},{"id":"W3121534829","doi":"","title":"The Effect of Changing Technology Use on Plant Performance in the Canadian Manufacturing Sector","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Manufacturing sector; Business; Industrial organization; Economics; Labour economics","score_opus":0.035340557838280655,"score_gpt":0.25444374780466983,"score_spread":0.21910318996638917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121534829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960855,0.0003700195,0.00013834829,0.0002834851,0.000003957401,0.000009025545,0.00078609906,0.000015235992,0.0023082986],"genre_scores_gemma":[0.99861586,0.00021157978,0.00006452112,0.000026495982,0.000004638954,0.0000018501402,0.0004111011,0.0000034787797,0.0006604092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998429,0.00012718311,0.00004542476,0.00019028952,0.0006085825,0.0005995122],"domain_scores_gemma":[0.991971,0.0017067713,0.0022602873,0.0002858289,0.0020924087,0.0016837062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010302494,0.00039085007,0.00037299684,0.0017110695,0.0013974007,0.0017964938,0.00088026194,0.0007367911,0.0021578355],"category_scores_gemma":[0.0069638486,0.00017340155,0.00042971427,0.003590041,0.0012440277,0.0005955614,0.00080825767,0.0010305621,0.00032746376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031515353,0.00012269442,0.9643088,0.00005376607,0.00014367033,0.00018801437,0.0010318453,0.008178683,0.0028386563,0.00065913366,0.00082014746,0.02133944],"study_design_scores_gemma":[0.000003004828,0.00003686629,0.9980002,0.000005051792,0.000014623785,0.000017839177,0.00036244543,0.00079484,0.0002738752,0.00004931745,0.000431276,0.000010600089],"about_ca_topic_score_codex":0.9562543,"about_ca_topic_score_gemma":0.97258276,"teacher_disagreement_score":0.043745697,"about_ca_system_score_codex":0.016532922,"about_ca_system_score_gemma":0.010760964,"threshold_uncertainty_score":0.1199553},"labels":[],"label_agreement":null},{"id":"W3121540239","doi":"","title":"The Industry Origins of Canada?s Weaker Labour Productivity Performance and the Role of Structural Adjustment in the 1990s and the 2000s","year":2016,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Slowdown; Economics; Multifactor productivity; Decomposition; Labour economics; Economic geography; Macroeconomics; Total factor productivity; Economic growth","score_opus":0.036861475768724054,"score_gpt":0.28073786181002436,"score_spread":0.2438763860413003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121540239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91869634,0.0058400864,0.00054396415,0.02593293,0.00014705806,0.000054533146,0.004719543,0.00005813106,0.044007417],"genre_scores_gemma":[0.9880597,0.0024656206,0.00026067477,0.0007082641,0.0000514807,0.00000859086,0.0011028032,0.000018001969,0.007324874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827397,0.000037595408,0.00004764421,0.00014694176,0.0005751691,0.00091870094],"domain_scores_gemma":[0.99526453,0.00027562992,0.0008562398,0.000119451994,0.0022830265,0.0012010956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012448818,0.00041091497,0.00048794085,0.003990688,0.004749296,0.0033706021,0.0009260825,0.0007573377,0.0042126863],"category_scores_gemma":[0.0050821556,0.00035806556,0.00045035055,0.007700309,0.002103368,0.0011253855,0.0017123431,0.0019210422,0.00034378178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007992037,0.0002014475,0.6434231,0.00053541217,0.00017570498,0.0013945294,0.02425869,0.0033764094,0.0041956347,0.0986414,0.028477233,0.19452128],"study_design_scores_gemma":[0.00001530886,0.000027993225,0.9602603,0.00017694694,0.00002356248,0.00006194137,0.0043769046,0.0007614992,0.00060575287,0.0017322677,0.031921998,0.000035541892],"about_ca_topic_score_codex":0.99396706,"about_ca_topic_score_gemma":0.99568415,"teacher_disagreement_score":0.9309991,"about_ca_system_score_codex":0.069000885,"about_ca_system_score_gemma":0.08308713,"threshold_uncertainty_score":0.50063884},"labels":[],"label_agreement":null},{"id":"W3121578599","doi":"","title":"Les pertes de gains des travailleurs deplaces : donnees canadiennes extraites d'une importante base de donnees sur les fermetures d'entreprises et les licenciements collectifs","year":2007,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.2136725749520664,"score_gpt":0.3668800048041772,"score_spread":0.1532074298521108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121578599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90127295,0.015760325,0.007385103,0.0007943376,0.00010049967,0.00031146617,0.049073678,0.00013671629,0.025164904],"genre_scores_gemma":[0.9463388,0.0060426397,0.006331062,0.00043793238,0.00004650724,0.00075868296,0.021119395,0.00008253088,0.018842608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923443,0.0016008017,0.00094127463,0.001208321,0.0030518714,0.0008535118],"domain_scores_gemma":[0.9446672,0.028669797,0.0074985884,0.004073154,0.013984689,0.0011066254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009873131,0.0007530356,0.001201972,0.005234053,0.001706417,0.002927958,0.001269391,0.0006726451,0.007442093],"category_scores_gemma":[0.028812177,0.0005423271,0.0022700701,0.013403936,0.0010546145,0.0014449966,0.0018766731,0.0010719687,0.0010665023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045014915,0.00008123765,0.916243,0.0024084353,0.0028698419,0.00019273831,0.008714162,0.0017202842,0.001132799,0.0012928675,0.0030136136,0.061880838],"study_design_scores_gemma":[0.000008926146,0.000070982336,0.97723675,0.00055337773,0.00064440805,0.00006328177,0.0037792656,0.00026760492,0.0007544894,0.0002679747,0.016313665,0.00003926546],"about_ca_topic_score_codex":0.5796244,"about_ca_topic_score_gemma":0.7473329,"teacher_disagreement_score":0.4203756,"about_ca_system_score_codex":0.005006506,"about_ca_system_score_gemma":0.00988881,"threshold_uncertainty_score":0.8457025},"labels":[],"label_agreement":null},{"id":"W3121582071","doi":"10.1080/13215906.2021.1872687","title":"New direction for a Sri Lankan apparel venture: chasing a capitalist or cooperative dream","year":2021,"lang":"en","type":"article","venue":"Small Enterprise Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Dream; Context (archaeology); Clothing; Quality (philosophy); Marketing; Business; Cash flow; Management; Economics; Finance; Political science","score_opus":0.1609322966470862,"score_gpt":0.34662036640757926,"score_spread":0.18568806976049307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121582071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54864484,0.010357159,0.0032681064,0.1258784,0.0010426128,0.00021384601,0.00009482362,0.00017133584,0.310329],"genre_scores_gemma":[0.89231247,0.009528033,0.0057235514,0.0062165754,0.00014968164,0.00007981368,0.0000987628,0.000041585947,0.08584955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992674,0.00028973437,0.000017054508,0.0000596651,0.00012365737,0.00024248441],"domain_scores_gemma":[0.9983929,0.00023910258,0.00010190226,0.00006946533,0.00020462023,0.0009920929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018657712,0.0002512002,0.00018410133,0.00052192056,0.0058438736,0.010214925,0.00059088075,0.0017840457,0.0073215687],"category_scores_gemma":[0.0014511897,0.00020166914,0.00034097908,0.0006307846,0.0035612432,0.005849653,0.003119003,0.0025710906,0.0015718102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036537513,0.0007951775,0.022196265,0.0013563136,0.000048946382,0.018149456,0.17959146,0.0005094876,0.010912498,0.42316815,0.12370603,0.2192008],"study_design_scores_gemma":[0.000043523774,0.0006538904,0.009111581,0.0008965871,0.000035364847,0.004447114,0.32779697,0.00049730705,0.0016172873,0.013078876,0.64172584,0.00009563436],"about_ca_topic_score_codex":0.0059280195,"about_ca_topic_score_gemma":0.030370928,"teacher_disagreement_score":0.010214925,"about_ca_system_score_codex":0.002834948,"about_ca_system_score_gemma":0.005871517,"threshold_uncertainty_score":0.024493098},"labels":[],"label_agreement":null},{"id":"W3121739241","doi":"10.2139/ssrn.2899248","title":"Olley and Pakes-Style Production Function Estimators with Firm Fixed Effects","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Estimator; Production (economics); Style (visual arts); Function (biology); Econometrics; Statistics; Mathematics; Fixed effects model; Psychology; Economics; Panel data; Art; Microeconomics; Literature; Biology","score_opus":0.009807483993241519,"score_gpt":0.19967429191948113,"score_spread":0.1898668079262396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121739241","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049829952,0.0025165621,0.93356854,0.0012611434,0.0004262708,0.00032103457,0.0024590422,0.00086470455,0.008752722],"genre_scores_gemma":[0.5733968,0.0030339195,0.37270206,0.0008316832,0.00079750305,0.000910283,0.0069264523,0.00042208796,0.040979147],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9867735,0.009421215,0.0006615987,0.0016316182,0.0009517962,0.0005603612],"domain_scores_gemma":[0.9287723,0.05579392,0.0035413739,0.0083443625,0.003158825,0.0003893405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017905694,0.0016849418,0.0026451,0.00375327,0.0012744197,0.0038836019,0.002877735,0.0023450346,0.018236974],"category_scores_gemma":[0.07426345,0.0008160523,0.0035755883,0.0057901363,0.0013630248,0.0047409185,0.002036048,0.0031707154,0.0046100295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008468305,0.0006737943,0.04857963,0.0014965946,0.0041600885,0.00082867604,0.0013123174,0.12070734,0.0012197156,0.32298547,0.029314004,0.46787554],"study_design_scores_gemma":[0.0007770018,0.0011438926,0.039368622,0.0007121566,0.0025044328,0.0005272113,0.0014835442,0.38513485,0.0058804383,0.4993525,0.062826104,0.0002891877],"about_ca_topic_score_codex":0.006393117,"about_ca_topic_score_gemma":0.008158459,"teacher_disagreement_score":0.018236974,"about_ca_system_score_codex":0.0009740772,"about_ca_system_score_gemma":0.0021759898,"threshold_uncertainty_score":0.09469551},"labels":[],"label_agreement":null},{"id":"W3121762848","doi":"10.1093/rfs/hhac079","title":"Labor Force Demographics and Corporate Innovation","year":2022,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Agence Nationale de la Recherche","keywords":"Demographics; Unobservable; Labour economics; Value (mathematics); Economics; Business; Sociology","score_opus":0.0898558206786712,"score_gpt":0.27513314510444187,"score_spread":0.18527732442577066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121762848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727261,0.0057169595,0.0009198406,0.0014390759,0.00004130739,0.000026021926,0.0009546625,0.000009540586,0.018166592],"genre_scores_gemma":[0.9955707,0.001993922,0.00012856525,0.00008435674,0.00007136571,0.000012039209,0.00029008268,0.0000021485382,0.0018469321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997173,0.000099082914,0.00001572649,0.00005169576,0.000056138495,0.00005998837],"domain_scores_gemma":[0.9950139,0.0013663739,0.0025451528,0.00013626009,0.00039825094,0.00054003316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007231616,0.000083295796,0.0001536576,0.001321247,0.00023000158,0.000635963,0.00014072412,0.00021799894,0.005158194],"category_scores_gemma":[0.0040383516,0.00005916074,0.00012847519,0.0012204192,0.00029907495,0.0004975826,0.00032560495,0.00024249974,0.0005037798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000458873,0.0000683812,0.94516397,0.00007416737,0.000058324,0.0001019674,0.00055093254,0.0005297918,0.00035740627,0.010082993,0.0022912056,0.040674917],"study_design_scores_gemma":[0.0000057046404,0.000060319497,0.9842905,0.00009968078,0.000018867562,0.00012876077,0.0007617759,0.0004471786,0.00014438207,0.004572576,0.009463977,0.0000062005065],"about_ca_topic_score_codex":0.0024872548,"about_ca_topic_score_gemma":0.0030352338,"teacher_disagreement_score":0.005158194,"about_ca_system_score_codex":0.0003405751,"about_ca_system_score_gemma":0.00022697734,"threshold_uncertainty_score":0.017255843},"labels":[],"label_agreement":null},{"id":"W3121847192","doi":"","title":"Which Firms Die? A Look at Manufacturing Firm Exit in Ghana","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Productivity; Business; Closure (psychology); Industrial organization; Market economy; Economics; Economic growth","score_opus":0.011222045367160524,"score_gpt":0.19958745385030102,"score_spread":0.18836540848314048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121847192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144566,0.0016602519,0.00007842657,0.0023798605,0.000008075471,0.000006256532,0.00015939823,0.0000022736372,0.004259829],"genre_scores_gemma":[0.9980135,0.0009454972,0.000017059443,0.00011237468,0.000011483245,0.0000016937108,0.00009254124,0.0000018402634,0.0008039681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997743,0.000045729972,0.000008167948,0.00001711704,0.000016235203,0.00013840146],"domain_scores_gemma":[0.99838674,0.00038900448,0.0008401246,0.000015795775,0.00009059481,0.00027780765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032702793,0.0001273312,0.00031073342,0.0008898002,0.00069101155,0.0010024065,0.00021234284,0.00063379196,0.004726507],"category_scores_gemma":[0.0013247859,0.000080974896,0.00019746217,0.0016469047,0.0007132394,0.0013820983,0.0008399492,0.00095606345,0.00029165854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040832712,0.00016312419,0.9404871,0.0001837444,0.000032160016,0.0055244626,0.013840139,0.0011479963,0.0007646458,0.010353632,0.0029497456,0.024144985],"study_design_scores_gemma":[0.000009646174,0.00008841411,0.96606255,0.00014668406,0.000012650656,0.00055637764,0.025828907,0.00064072147,0.00016564799,0.0012867743,0.0051912945,0.000010323786],"about_ca_topic_score_codex":0.01892967,"about_ca_topic_score_gemma":0.031838764,"teacher_disagreement_score":0.01892967,"about_ca_system_score_codex":0.0012025692,"about_ca_system_score_gemma":0.00043623665,"threshold_uncertainty_score":0.037638962},"labels":[],"label_agreement":null},{"id":"W3121870064","doi":"","title":"Innovation Quality and Manufacturing Firms' Performance in Canada","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Innovator; Quality (philosophy); Value (mathematics); Multivariate statistics; Market share; Business; Industrial organization; Economics; Econometrics; Marketing; Entrepreneurship; Statistics; Economic growth; Mathematics; Finance","score_opus":0.021064379623409124,"score_gpt":0.22016292725335923,"score_spread":0.1990985476299501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121870064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883907,0.00068310316,0.00014788126,0.00071883114,0.0000115678195,0.000016533044,0.0016463202,0.000022856651,0.008362164],"genre_scores_gemma":[0.99737763,0.0002891586,0.000099080375,0.00003657164,0.000005235891,0.0000032468897,0.0009144881,0.0000047897674,0.0012698384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742573,0.00015804044,0.00010499087,0.00019130626,0.0012517255,0.00086825306],"domain_scores_gemma":[0.9843977,0.0017604259,0.0029488811,0.000324211,0.0076915524,0.0028772948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017467039,0.00022429721,0.0004810507,0.0030924792,0.0016283417,0.0028352083,0.0007548403,0.00039174123,0.002290502],"category_scores_gemma":[0.011399505,0.00016710708,0.0005115967,0.00811778,0.0011177969,0.00067720265,0.0015429372,0.0008495164,0.00021507531],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001124532,0.00005773334,0.9724398,0.00006282759,0.00009472715,0.00015840244,0.00097582815,0.0030850843,0.0002913403,0.0025809277,0.0018706684,0.018270224],"study_design_scores_gemma":[0.0000070579476,0.000022058202,0.99622166,0.000031972482,0.000019871977,0.000020364074,0.00066289125,0.0012246672,0.00016159216,0.000115196526,0.0014979878,0.0000145990325],"about_ca_topic_score_codex":0.9836099,"about_ca_topic_score_gemma":0.9878715,"teacher_disagreement_score":0.04160439,"about_ca_system_score_codex":0.04160439,"about_ca_system_score_gemma":0.036861874,"threshold_uncertainty_score":0.30186236},"labels":[],"label_agreement":null},{"id":"W3121886021","doi":"","title":"Labour Productivity Differences Between Domestic and Foreign-controlled Establishments in the Canadian Manufacturing Sector","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Manufacturing sector; Labour economics; Economics; Volatility (finance); Marginal product; Manufacturing; Business; Demographic economics; Production (economics); Economic growth; Macroeconomics; Econometrics","score_opus":0.04972677763047574,"score_gpt":0.2768952414282262,"score_spread":0.22716846379775046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121886021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94979894,0.0022174725,0.00028982715,0.00117828,0.00012250981,0.000053226162,0.01593956,0.00003737044,0.030362837],"genre_scores_gemma":[0.9808959,0.0012552327,0.00012478487,0.00007014205,0.000024436877,0.000012307218,0.0041111344,0.000010785835,0.013495224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993949,0.000028933353,0.000017943843,0.00009684064,0.00020708235,0.00025431757],"domain_scores_gemma":[0.998591,0.00018539146,0.00015579876,0.00003629468,0.0006811555,0.00035030526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050589733,0.00026047288,0.00025006107,0.0018830424,0.0013323798,0.0012902103,0.0007351205,0.0002604021,0.011898921],"category_scores_gemma":[0.0021366328,0.000116117706,0.00038400205,0.005552694,0.0005242787,0.0003521723,0.0006299282,0.00049949647,0.00095033966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045978266,0.000086826214,0.8030489,0.000518696,0.00012601264,0.00041426183,0.015756376,0.0024358414,0.001613105,0.007528931,0.056329176,0.11168203],"study_design_scores_gemma":[0.000004151543,0.000018577432,0.98734015,0.0000624397,0.000012629094,0.000016498972,0.006148875,0.00027957628,0.0000945215,0.00010159688,0.005907501,0.0000133976655],"about_ca_topic_score_codex":0.9895782,"about_ca_topic_score_gemma":0.99457586,"teacher_disagreement_score":0.019805295,"about_ca_system_score_codex":0.019805295,"about_ca_system_score_gemma":0.020292344,"threshold_uncertainty_score":0.14369816},"labels":[],"label_agreement":null},{"id":"W3121889799","doi":"","title":"Sources of Aggregate Labour Productivity Growth in Canada and the United States","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Productivity; Economics; Tertiary sector of the economy; Multifactor productivity; Labour economics; Aggregate (composite); Manufacturing sector; Service (business); Manufacturing; Business; Total factor productivity; Economy; Macroeconomics","score_opus":0.007040555025346285,"score_gpt":0.1738415988911313,"score_spread":0.166801043865785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121889799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92447644,0.0054089813,0.002791481,0.0033261855,0.00010445531,0.00008588892,0.025937762,0.00023116413,0.03763764],"genre_scores_gemma":[0.9825455,0.002854139,0.0009978135,0.00010562928,0.000036098558,0.000032709635,0.0077635054,0.00003860258,0.0056260237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835783,0.0000783859,0.00005037495,0.00011035709,0.00082260027,0.0005804232],"domain_scores_gemma":[0.9961165,0.00039077806,0.00053487526,0.00012076664,0.0024082568,0.00042876296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011057404,0.000500107,0.00052783475,0.011459993,0.0018670417,0.0029304272,0.0005834147,0.0003267973,0.0014766207],"category_scores_gemma":[0.005447996,0.000257911,0.000477973,0.020459116,0.00063583266,0.0005956843,0.0019146823,0.00083323906,0.00023690841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004079266,0.000050175797,0.7730224,0.0002657856,0.00042324892,0.001246195,0.0055066305,0.017447522,0.001284947,0.031978168,0.021238677,0.14712828],"study_design_scores_gemma":[0.000024019184,0.0000124772805,0.93764454,0.00018848894,0.00014240203,0.00019579328,0.003518731,0.011524642,0.0011060301,0.0050091897,0.040546406,0.00008732758],"about_ca_topic_score_codex":0.97855765,"about_ca_topic_score_gemma":0.9796036,"teacher_disagreement_score":0.035703547,"about_ca_system_score_codex":0.035703547,"about_ca_system_score_gemma":0.036899734,"threshold_uncertainty_score":0.25904858},"labels":[],"label_agreement":null},{"id":"W3121941881","doi":"10.1287/mnsc.1060.0674","title":"Churn, Baby, Churn: Strategic Dynamics Among Dominant and Fringe Firms in a Segmented Industry","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cannibalization; Industrial organization; Exploit; Stackelberg competition; Marketing; Business; First-mover advantage; Panel data; Economics; Microeconomics; Econometrics; Computer science","score_opus":0.025346752219070276,"score_gpt":0.23208930907192105,"score_spread":0.20674255685285076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121941881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98974204,0.00020432027,0.0042759865,0.0003633081,0.0000023949367,0.000014694471,0.000011593505,0.000006775918,0.005378876],"genre_scores_gemma":[0.99853134,0.0000750506,0.0006088736,0.000036536854,0.0000033121992,0.000005282955,0.000008932914,0.0000013073262,0.0007293816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993051,0.00026067943,0.00001568643,0.000080707134,0.00011279407,0.0002249603],"domain_scores_gemma":[0.9945958,0.0027824608,0.0014303388,0.000190908,0.00027426804,0.0007262644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015718356,0.00013966723,0.000268792,0.0012292549,0.00119846,0.0019644042,0.0003271664,0.00072964904,0.0014497173],"category_scores_gemma":[0.006220175,0.00017272565,0.0002075278,0.00078095926,0.0021023264,0.0022318051,0.0015135523,0.00057900295,0.0001836749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071656454,0.00027649652,0.66839653,0.00011062946,0.00007654386,0.0028028893,0.033457123,0.009822149,0.0062110825,0.15711138,0.001982518,0.119036086],"study_design_scores_gemma":[0.00013628125,0.00067337893,0.5959016,0.00015049739,0.0000958053,0.0025135712,0.048759263,0.085538715,0.0023985626,0.24351755,0.020178415,0.0001364399],"about_ca_topic_score_codex":0.0062827296,"about_ca_topic_score_gemma":0.00854671,"teacher_disagreement_score":0.0062827296,"about_ca_system_score_codex":0.0015215251,"about_ca_system_score_gemma":0.0009711004,"threshold_uncertainty_score":0.012492299},"labels":[],"label_agreement":null},{"id":"W3121958327","doi":"","title":"Product Variety and Firm Survival in the Microcomputer Software Industry","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scope (computer science); Variety (cybernetics); Economies of scope; Product (mathematics); Industrial organization; New product development; Business; Software; Consumption (sociology); Product proliferation; Product management; Computer science; Marketing; Economies of scale","score_opus":0.031671787825808886,"score_gpt":0.22391788779898558,"score_spread":0.1922460999731767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121958327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540967,0.0007758625,0.00056333904,0.00011879749,0.000002923186,0.000011672533,0.00021356913,0.000011635511,0.0028925473],"genre_scores_gemma":[0.99920446,0.00012278894,0.00009869568,0.000007127298,0.0000057202856,0.0000047132608,0.00017116858,0.0000019110662,0.0003834058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999119,0.00018851817,0.000052607298,0.00019424822,0.0002020465,0.0002436586],"domain_scores_gemma":[0.97322863,0.013325907,0.0082981335,0.0011028333,0.0011751484,0.0028693092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019768323,0.00033766622,0.00058060087,0.0041138483,0.00072250445,0.0018492751,0.00044170974,0.0006235484,0.0043738396],"category_scores_gemma":[0.010306481,0.00019248996,0.0005780397,0.002761311,0.0014811575,0.0025275936,0.0020895873,0.0009316715,0.0004976262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039517018,0.00017491929,0.9593128,0.00006583746,0.00017738724,0.0003896095,0.0006535917,0.012333575,0.0008092784,0.004695238,0.00045441647,0.020538265],"study_design_scores_gemma":[0.000031119143,0.00033380382,0.98475295,0.000037003105,0.000055777036,0.00019170933,0.0009977742,0.0073512695,0.00043444728,0.0044148755,0.0013709666,0.000028271628],"about_ca_topic_score_codex":0.0042322627,"about_ca_topic_score_gemma":0.0048071835,"teacher_disagreement_score":0.0043738396,"about_ca_system_score_codex":0.0009773606,"about_ca_system_score_gemma":0.00036127598,"threshold_uncertainty_score":0.014631987},"labels":[],"label_agreement":null},{"id":"W3122013629","doi":"","title":"Entrepreneurship, Technological Change and Endogenous Returns to Ability","year":2008,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Entrepreneurship; Technological change; Quality (philosophy); Business; Ex-ante; Industrial organization; Sorting; Distribution (mathematics); Perception; Venture capital; Economics; Marketing; Finance","score_opus":0.1568726739730376,"score_gpt":0.2836167310683524,"score_spread":0.12674405709531478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122013629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8137586,0.0013317883,0.13302968,0.0045092227,0.00007564193,0.00012431786,0.000368059,0.00010345309,0.046699166],"genre_scores_gemma":[0.9889677,0.0004387916,0.002582968,0.000080961414,0.00003713399,0.000048754624,0.000045619166,0.0000052050673,0.0077929655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992399,0.00026500344,0.00002406051,0.0001448427,0.00010025203,0.00022587858],"domain_scores_gemma":[0.9965687,0.0019516099,0.0007118127,0.0002726048,0.00011631005,0.000378987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013263342,0.0003597783,0.000743015,0.0009359514,0.0005754302,0.0024883682,0.0008199704,0.001472709,0.0043411204],"category_scores_gemma":[0.0055690664,0.00026988436,0.0006352539,0.00088285573,0.0018123516,0.0025027418,0.0011109832,0.0012244706,0.0006496146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027010747,0.0003455492,0.026708657,0.00009261196,0.000075740725,0.0008643559,0.0006081187,0.25429764,0.0016882338,0.68977004,0.0013646685,0.023914263],"study_design_scores_gemma":[0.00013206576,0.00023233112,0.012772004,0.000038253558,0.000036395955,0.0005487997,0.0003135685,0.48117527,0.00044187935,0.49829292,0.0059674936,0.00004904094],"about_ca_topic_score_codex":0.0017908957,"about_ca_topic_score_gemma":0.00104217,"teacher_disagreement_score":0.0043411204,"about_ca_system_score_codex":0.0009018402,"about_ca_system_score_gemma":0.00056601106,"threshold_uncertainty_score":0.014522493},"labels":[],"label_agreement":null},{"id":"W3122085881","doi":"","title":"Determinants of Locational Patenting Behavior of Canadian Firms","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Profitability index; Business; Scope (computer science); Foreign direct investment; Investment (military); Intellectual property; Treaty; Industrial organization; International trade; Economics; Finance","score_opus":0.07611871780139265,"score_gpt":0.30029637103973517,"score_spread":0.22417765323834252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122085881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96803486,0.0012279829,0.0004002921,0.00083987246,0.00001184367,0.00003676818,0.021682804,0.000041533127,0.007724034],"genre_scores_gemma":[0.98963284,0.00057081826,0.00032604276,0.000051249055,0.000008626722,0.000011882428,0.006955851,0.00000646836,0.0024362917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990938,0.000045338544,0.000046324654,0.00014718239,0.00037702124,0.00029036417],"domain_scores_gemma":[0.98962176,0.0019173295,0.0033022184,0.00038951816,0.0035188778,0.0012502039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009973376,0.0002389273,0.00036186885,0.004311551,0.0013758071,0.0017690598,0.00086826185,0.00052484515,0.003224148],"category_scores_gemma":[0.007927851,0.00020975826,0.0005387977,0.008269251,0.0005932864,0.00052759907,0.0006120764,0.00056788616,0.0004117264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014160106,0.00006399983,0.95878726,0.00011901272,0.000106622705,0.00020656898,0.0010967954,0.004520707,0.0009136076,0.0023986085,0.009688025,0.021957219],"study_design_scores_gemma":[0.000010849476,0.000022413804,0.9861925,0.00004184739,0.000034298795,0.00007969919,0.00085182156,0.0037300948,0.000396553,0.00016720415,0.00843272,0.000039992872],"about_ca_topic_score_codex":0.98655385,"about_ca_topic_score_gemma":0.99054223,"teacher_disagreement_score":0.020045629,"about_ca_system_score_codex":0.020045629,"about_ca_system_score_gemma":0.016411189,"threshold_uncertainty_score":0.14544189},"labels":[],"label_agreement":null},{"id":"W3122093281","doi":"","title":"Productivity Spillovers from Competitive Reallocation: Evidence from Canadian Manufacturing Plants","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Frontier; Externality; Market share; Economics; Economic geography; Geography; Microeconomics; Economic growth","score_opus":0.061072562219535616,"score_gpt":0.28371915753769816,"score_spread":0.22264659531816255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122093281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98982763,0.0007078995,0.00026193907,0.00029796702,0.000002975425,0.000020288711,0.0008163048,0.0000102014355,0.008054857],"genre_scores_gemma":[0.9977702,0.0006356257,0.0001252709,0.000044390436,0.000004668591,0.000005218088,0.0005115614,0.0000014364557,0.0009017256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932563,0.000050277806,0.000020075871,0.000109384935,0.00029431813,0.00020021011],"domain_scores_gemma":[0.9942773,0.0016319335,0.0017786161,0.00030478137,0.0015606704,0.00044679854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009608989,0.00024437445,0.00031370737,0.0023870345,0.0018755452,0.0010560508,0.0006989347,0.00050256256,0.0029324915],"category_scores_gemma":[0.0052005807,0.00016292009,0.00031387727,0.0039107297,0.0010088466,0.00068939995,0.0010892329,0.0005585212,0.00020612944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062777894,0.00020749014,0.914102,0.00035599133,0.00022068596,0.0008964087,0.0078706285,0.0044165873,0.0038186468,0.0025833861,0.001894756,0.06300559],"study_design_scores_gemma":[0.000008888718,0.00004226149,0.99532473,0.000017364404,0.000031352658,0.00003891822,0.0018701506,0.00043089726,0.0002925505,0.000120243654,0.001810109,0.000012400955],"about_ca_topic_score_codex":0.9214071,"about_ca_topic_score_gemma":0.9577724,"teacher_disagreement_score":0.0785929,"about_ca_system_score_codex":0.013394803,"about_ca_system_score_gemma":0.008293445,"threshold_uncertainty_score":0.15811145},"labels":[],"label_agreement":null},{"id":"W3122103258","doi":"10.5167/uzh-145764","title":"High-skilled immigration, STEM employment, and non-routine-biased technical change","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Technical change; Pace; Wage inequality; Technological change; Labour economics; Inequality; Economics; Demographic change; Work (physics); Wage; Demographic economics; Political science; Economic growth; Productivity; Sociology; Population; Geography; Macroeconomics","score_opus":0.07035533814511336,"score_gpt":0.30562397566178595,"score_spread":0.2352686375166726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122103258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98598504,0.00051377434,0.003188157,0.0011177238,0.000023760376,0.0000150241885,0.00018364404,0.000014780446,0.008958063],"genre_scores_gemma":[0.99541193,0.00041193207,0.00033759716,0.00007765016,0.000031703446,0.000008910282,0.000097063996,0.000002941925,0.0036202795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969816,0.000051223156,0.000012006624,0.000037555805,0.000032268348,0.00016875753],"domain_scores_gemma":[0.9969887,0.0008942135,0.0013085329,0.00014314636,0.00011176821,0.0005537154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010624207,0.00033111856,0.00040685694,0.00080525415,0.0009302257,0.0016842755,0.000509875,0.0010701386,0.0057194605],"category_scores_gemma":[0.002582994,0.00013859477,0.00069750316,0.0010420384,0.0013301945,0.00089552515,0.0015597348,0.00094184576,0.0005719068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005573319,0.00095978746,0.7068427,0.00022494924,0.00020695094,0.00330532,0.0031607752,0.06266909,0.004276439,0.1681716,0.003245752,0.046379264],"study_design_scores_gemma":[0.00022452118,0.0010164116,0.7035103,0.0003035779,0.00025374244,0.001580832,0.008512112,0.13171607,0.0025711278,0.13527377,0.014895854,0.00014167087],"about_ca_topic_score_codex":0.014493271,"about_ca_topic_score_gemma":0.022495016,"teacher_disagreement_score":0.014493271,"about_ca_system_score_codex":0.0010677126,"about_ca_system_score_gemma":0.001057623,"threshold_uncertainty_score":0.028817773},"labels":[],"label_agreement":null},{"id":"W3122108133","doi":"10.1093/icc/dts049","title":"Entrepreneurial commercialization choices and the interaction between IPR and competition policy","year":2013,"lang":"en","type":"preprint","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Commercialization; Competition (biology); Intellectual property; Perspective (graphical); Competition policy; Entrepreneurship; Industrial organization; Business; Economics; Market economy; Marketing; Political science","score_opus":0.297947122882119,"score_gpt":0.2745475002611509,"score_spread":0.02339962262096812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122108133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971401,0.0007344566,0.006235931,0.0012082288,0.000014769261,0.00004091199,0.00016974375,0.000025207599,0.020169726],"genre_scores_gemma":[0.9987004,0.0001128761,0.00019143203,0.00003794215,0.000009645799,0.000005211792,0.000025605385,0.0000023361097,0.0009145276],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981018,0.0009559929,0.00009428304,0.00019521614,0.00016780155,0.00048500937],"domain_scores_gemma":[0.9625876,0.02651235,0.0076760445,0.0010314698,0.00051378674,0.0016788591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004433081,0.00016509031,0.00053493195,0.0006205397,0.00041729867,0.0023117089,0.00038109603,0.001139508,0.008593127],"category_scores_gemma":[0.016267743,0.00014651396,0.00044925525,0.0005802385,0.0014925211,0.0014540213,0.00095845014,0.0012395486,0.0005018089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002424511,0.001491707,0.5947439,0.00034788487,0.0005325149,0.0020004485,0.00085751514,0.05589971,0.012252107,0.26351732,0.002243229,0.063689195],"study_design_scores_gemma":[0.0003401755,0.0013995487,0.65195996,0.00016351628,0.00034971422,0.0014095949,0.0030777552,0.070223175,0.008425501,0.24814476,0.0143525805,0.00015375236],"about_ca_topic_score_codex":0.00095740973,"about_ca_topic_score_gemma":0.0010327834,"teacher_disagreement_score":0.008593127,"about_ca_system_score_codex":0.0009184543,"about_ca_system_score_gemma":0.00060495985,"threshold_uncertainty_score":0.028746843},"labels":[],"label_agreement":null},{"id":"W3122133749","doi":"","title":"Knowledge Diffusion through Employee Mobility","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Diffusion; Mechanism (biology); Labour economics; Industrial organization; Microeconomics; Marketing; Economics","score_opus":0.021505685793742405,"score_gpt":0.24015145953904982,"score_spread":0.21864577374530741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122133749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69055504,0.0012190554,0.201322,0.0064680683,0.000065083244,0.00018443515,0.00035966953,0.00033825886,0.09948825],"genre_scores_gemma":[0.9890303,0.00029944265,0.004847406,0.00011338994,0.000022586644,0.00005472162,0.000034372468,0.000011477649,0.00558615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982021,0.00081856025,0.000052265117,0.00038157613,0.00016911286,0.0003764147],"domain_scores_gemma":[0.9922684,0.0048255725,0.0013526698,0.00086667965,0.00036988984,0.00031687118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026915183,0.00042625968,0.00051315175,0.0011411683,0.0010592772,0.0026521487,0.00079552556,0.0023100576,0.011002337],"category_scores_gemma":[0.012617866,0.00031035862,0.00079208263,0.0010802791,0.0021432135,0.0049086935,0.0030345228,0.00094942295,0.0010225932],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032646494,0.00022664237,0.018386133,0.00025446096,0.00013521592,0.0005802576,0.0037762474,0.061223567,0.0039557507,0.8053549,0.0027010692,0.10307926],"study_design_scores_gemma":[0.00022501677,0.00022844302,0.009893315,0.000115748095,0.00012187242,0.00054313795,0.0017386575,0.12427539,0.0024534434,0.8422855,0.018029321,0.00009020921],"about_ca_topic_score_codex":0.0033575913,"about_ca_topic_score_gemma":0.0017076399,"teacher_disagreement_score":0.011002337,"about_ca_system_score_codex":0.0014954894,"about_ca_system_score_gemma":0.000986659,"threshold_uncertainty_score":0.036806464},"labels":[],"label_agreement":null},{"id":"W3122137107","doi":"","title":"Trends in Corporate Diversification","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Diversification (marketing strategy); Business; Economic geography; Economics; Marketing","score_opus":0.034234699549718015,"score_gpt":0.22125541723719042,"score_spread":0.18702071768747242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122137107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255196,0.031417172,0.0010727794,0.0068656416,0.00016294385,0.000024323279,0.0023216587,0.00005896074,0.032556918],"genre_scores_gemma":[0.9757867,0.015485879,0.0009159841,0.00087490416,0.00029581838,0.000012530511,0.0018099638,0.000018319193,0.004799974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995647,0.00004349965,0.000051345625,0.00012137831,0.00013685091,0.00008227896],"domain_scores_gemma":[0.99512947,0.0006776298,0.0022890505,0.00016755046,0.0013691781,0.0003671286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009852838,0.00017789468,0.00022603509,0.0027892683,0.00034378044,0.001913986,0.00023426981,0.0007986752,0.0029458588],"category_scores_gemma":[0.0039224806,0.00012117111,0.00021510359,0.004593822,0.00040441862,0.0017753046,0.00066157855,0.0008199008,0.0005557124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004337535,0.00014915659,0.61037946,0.00063674,0.00014604126,0.0004390896,0.004890545,0.0013760983,0.00420917,0.03892661,0.014593403,0.3238199],"study_design_scores_gemma":[0.00000928253,0.00017599491,0.8791179,0.00033139152,0.000034872908,0.0009618976,0.002335142,0.0006883783,0.0014557954,0.003215578,0.11164603,0.000027688744],"about_ca_topic_score_codex":0.0038891032,"about_ca_topic_score_gemma":0.004323126,"teacher_disagreement_score":0.0038891032,"about_ca_system_score_codex":0.0011672319,"about_ca_system_score_gemma":0.00057645736,"threshold_uncertainty_score":0.009854913},"labels":[],"label_agreement":null},{"id":"W3122187350","doi":"10.5089/9781513554488.001","title":"In the Eye of the Storm Firms and Capital Destruction in India","year":2020,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Université du Québec à Montréal; Université de Sherbrooke","funders":"","keywords":"Productivity; Creative destruction; Business; Shock (circulatory); Capital (architecture); Industrial organization; Production (economics); Manufacturing; Panel data; Stock (firearms); Monetary economics; Economics; Commerce; Market economy; Marketing; Microeconomics; Macroeconomics","score_opus":0.024332760551524536,"score_gpt":0.20720708367793203,"score_spread":0.1828743231264075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122187350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930749,0.00042039828,0.00015129488,0.001674213,0.000012804224,0.0000044011117,0.00030093116,0.000010648148,0.0043504145],"genre_scores_gemma":[0.99898916,0.0001646613,0.00002077049,0.00012289941,0.000017205883,0.0000010117474,0.00007519579,0.0000016150602,0.000607517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975246,0.00003746276,0.000012311308,0.00003575158,0.000038887367,0.00012314697],"domain_scores_gemma":[0.99704045,0.0005993165,0.0017835854,0.00013486737,0.00015348202,0.00028831884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034327514,0.00013202762,0.00017279336,0.0006579634,0.0004251368,0.0016746871,0.00025983664,0.0005679579,0.0024529288],"category_scores_gemma":[0.002307282,0.00010697251,0.000305461,0.0012179625,0.0010197151,0.00072475633,0.0009510751,0.0010065871,0.0002539878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019132388,0.00007805276,0.9767388,0.000060854374,0.00011518104,0.00087341707,0.0023016918,0.0042764065,0.0013684031,0.0035095674,0.0027137385,0.0077724378],"study_design_scores_gemma":[0.0000042253405,0.00003846708,0.9934516,0.000011492162,0.000020916303,0.00014226748,0.0023238896,0.0006641038,0.00029884983,0.0011586347,0.0018743695,0.000011102284],"about_ca_topic_score_codex":0.03761176,"about_ca_topic_score_gemma":0.051498823,"teacher_disagreement_score":0.03761176,"about_ca_system_score_codex":0.0008661275,"about_ca_system_score_gemma":0.00044993605,"threshold_uncertainty_score":0.07478565},"labels":[],"label_agreement":null},{"id":"W3122222966","doi":"","title":"Productivity Performance in Canada, 1961 to 2005","year":2007,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Economics; Agricultural economics; Labour economics; Capital (architecture); Human capital; Compensation (psychology); Demographic economics; Business; Economic growth; Total factor productivity; Geography","score_opus":0.02021632219178011,"score_gpt":0.1911615676809506,"score_spread":0.1709452454891705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122222966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7979091,0.013802932,0.0006435002,0.0055123516,0.0004105264,0.00010125006,0.13478822,0.0003398945,0.046492208],"genre_scores_gemma":[0.93897235,0.0041435636,0.00052772195,0.00037644157,0.00006583192,0.000026323365,0.032116868,0.000037777674,0.023733042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806136,0.00003893753,0.0000870521,0.00019020948,0.00090093777,0.00072152866],"domain_scores_gemma":[0.99453425,0.00009361432,0.00053267676,0.00007558624,0.0038130442,0.0009508545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010444849,0.0007035074,0.0006309442,0.0042949035,0.0027928357,0.0021423306,0.0012335394,0.0005446795,0.0034100036],"category_scores_gemma":[0.0039520683,0.00026582953,0.00067205617,0.011736705,0.0006535258,0.0006990966,0.000978234,0.00086998404,0.000998168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004949901,0.00014204955,0.82439214,0.0005052354,0.00034208148,0.00042343588,0.002578425,0.004629053,0.00061912567,0.0031173902,0.06777588,0.09498013],"study_design_scores_gemma":[0.000010656994,0.000031376163,0.9654776,0.00006696429,0.000032317366,0.000057939,0.00060990994,0.0006396944,0.00022756212,0.000045279718,0.032772593,0.000028011485],"about_ca_topic_score_codex":0.9981194,"about_ca_topic_score_gemma":0.9985569,"teacher_disagreement_score":0.09376233,"about_ca_system_score_codex":0.09376233,"about_ca_system_score_gemma":0.076767765,"threshold_uncertainty_score":0.68029654},"labels":[],"label_agreement":null},{"id":"W3122323032","doi":"","title":"Innovation in the Global Firm","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Download; Foreign direct investment; Developing country; Investment (military); Business; Quarter (Canadian coin); Production (economics); Panel data; Industrial organization; Economics; Monetary economics; International trade; Finance; Economic growth; Microeconomics; Econometrics; Macroeconomics","score_opus":0.018831393333044753,"score_gpt":0.22880025554056185,"score_spread":0.2099688622075171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122323032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5033795,0.0065986617,0.012057766,0.013820551,0.00017041445,0.00004924174,0.0010232832,0.00009949031,0.46280107],"genre_scores_gemma":[0.99148786,0.0013848508,0.00044493316,0.0003420034,0.00006891137,0.000015414706,0.00011527658,0.0000074361005,0.006133207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931467,0.00013590623,0.000018821347,0.00018141346,0.00010557814,0.00024368796],"domain_scores_gemma":[0.99864215,0.0005568732,0.0003128604,0.0001324589,0.0001436497,0.0002119214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071811327,0.00023574955,0.00049398246,0.0013965121,0.0005972662,0.0035180016,0.00028264918,0.0012260147,0.01129557],"category_scores_gemma":[0.0031533004,0.00012919251,0.00060458144,0.0022128178,0.0020673287,0.005447851,0.0024377517,0.001109946,0.0006515796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058960013,0.00008376696,0.059565,0.00018337925,0.0001333161,0.00046553375,0.0012984732,0.027458912,0.0007746029,0.8206534,0.009254122,0.08007053],"study_design_scores_gemma":[0.000068392226,0.00028590416,0.15550664,0.00045114083,0.0002436546,0.0009036029,0.00406903,0.021271124,0.0010584226,0.6589862,0.1570643,0.00009161636],"about_ca_topic_score_codex":0.004532077,"about_ca_topic_score_gemma":0.005207641,"teacher_disagreement_score":0.01129557,"about_ca_system_score_codex":0.0022604235,"about_ca_system_score_gemma":0.00094560726,"threshold_uncertainty_score":0.037787378},"labels":[],"label_agreement":null},{"id":"W3122441458","doi":"","title":"A Critical Review of Market Entry Selection and Expansion into Japan's Market","year":2009,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Business; Economics; Computer science","score_opus":0.021645780601425284,"score_gpt":0.2778103045803403,"score_spread":0.256164523978915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122441458","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029303585,0.9979395,0.000053845364,0.0010172781,0.0002081273,0.000003838787,0.000028002169,0.0000021455526,0.00045425468],"genre_scores_gemma":[0.003021496,0.99536574,0.00016264114,0.0007831994,0.00042990892,0.000006763903,0.00003779304,0.0000017208464,0.00019079704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991217,0.00019273086,0.00024176425,0.00016787183,0.00020753933,0.000068456764],"domain_scores_gemma":[0.99229103,0.0039438806,0.0012185457,0.00014660493,0.0022080967,0.00019190252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038845558,0.00065750326,0.0016301629,0.0058037424,0.0004325556,0.0019016683,0.0010827014,0.0013622424,0.0024326155],"category_scores_gemma":[0.0079936115,0.00049498596,0.0007646497,0.007335643,0.0010216852,0.002980517,0.0008957074,0.001411131,0.0005257051],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016343391,0.00009163869,0.0033148958,0.05808072,0.00045220758,0.0002598281,0.00032682574,0.00032670406,0.00051904627,0.005308476,0.08175139,0.8494049],"study_design_scores_gemma":[0.00006166875,0.00027896467,0.020691495,0.03679061,0.0014692326,0.0008219435,0.00047863016,0.00022479193,0.0005545537,0.0028738729,0.9356847,0.00006938671],"about_ca_topic_score_codex":0.0060793627,"about_ca_topic_score_gemma":0.014375267,"teacher_disagreement_score":0.0060793627,"about_ca_system_score_codex":0.0022167186,"about_ca_system_score_gemma":0.0060819453,"threshold_uncertainty_score":0.020543754},"labels":[],"label_agreement":null},{"id":"W3122446134","doi":"10.1257/mac.20180461","title":"Advertising, Innovation, and Economic Growth","year":2021,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfoundations; Economics; Growth model; Channel (broadcasting); Econometrics; Empirical evidence; Advertising; Microeconomics; Business; Telecommunications; Computer science; Macroeconomics","score_opus":0.012028136413540098,"score_gpt":0.22626654147169448,"score_spread":0.2142384050581544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122446134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9254081,0.0096743405,0.0064617693,0.007482599,0.00007339838,0.000017008531,0.00033932304,0.00010647815,0.0504371],"genre_scores_gemma":[0.9950046,0.002078995,0.00029161922,0.00009507872,0.00006571436,0.0000036205652,0.000052807707,0.000004765047,0.0024027757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997435,0.00011236333,0.000011282704,0.00003719128,0.00004710475,0.000048517075],"domain_scores_gemma":[0.9932914,0.00477593,0.0013290197,0.00013263554,0.00023419663,0.00023676931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069943414,0.00022743552,0.00024019268,0.000921791,0.0002542611,0.0016016992,0.00017672761,0.00078121305,0.0032479495],"category_scores_gemma":[0.006047614,0.000096909476,0.00023343322,0.0012139464,0.00076213194,0.0010467647,0.00049751735,0.00066517974,0.00035965093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038950608,0.0004763402,0.40909782,0.00035779065,0.00021070891,0.000994983,0.001077849,0.13167763,0.0028541875,0.2635579,0.0090874,0.1802179],"study_design_scores_gemma":[0.00011099974,0.00031859108,0.44493818,0.0002778056,0.00024111482,0.0009406956,0.0014572849,0.206135,0.0019852954,0.30942228,0.034073807,0.00009900534],"about_ca_topic_score_codex":0.0043014376,"about_ca_topic_score_gemma":0.0028121194,"teacher_disagreement_score":0.0043014376,"about_ca_system_score_codex":0.0013913806,"about_ca_system_score_gemma":0.00045921945,"threshold_uncertainty_score":0.01086545},"labels":[],"label_agreement":null},{"id":"W3122462744","doi":"","title":"Competition, Firm Turnover and Productivity Growth","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Competition (biology); Labour economics; Economics; Turnover; Industrial organization; Business; Macroeconomics","score_opus":0.03529941535752609,"score_gpt":0.26707407431726504,"score_spread":0.23177465895973895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122462744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96697503,0.0035130493,0.004841163,0.0014294684,0.000031984175,0.000017408376,0.00042442096,0.00003660641,0.022731084],"genre_scores_gemma":[0.99790996,0.0003907608,0.00017897689,0.0000436214,0.000027389835,0.000005449642,0.0001270884,0.0000034424716,0.0013133462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990514,0.00022070929,0.000039860664,0.00011558248,0.0002469068,0.00032549794],"domain_scores_gemma":[0.98552006,0.0074179335,0.004608184,0.0003424051,0.0010304946,0.0010809351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011411698,0.00020558613,0.0003952267,0.0011695687,0.0004358773,0.0017139561,0.00028772865,0.00064605894,0.0029158026],"category_scores_gemma":[0.008775084,0.000090403504,0.00024488475,0.0018007914,0.001063976,0.0010279121,0.0008015407,0.0007270084,0.00040606217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006379679,0.0004143738,0.79546124,0.00036354543,0.0002683323,0.0009572142,0.0023993268,0.017500347,0.003538935,0.06833049,0.0051196134,0.105008684],"study_design_scores_gemma":[0.00007119462,0.0003197929,0.8744705,0.00015208405,0.00010427403,0.00078169437,0.0022564814,0.02575586,0.0015486423,0.08329157,0.011174502,0.000073352094],"about_ca_topic_score_codex":0.009329494,"about_ca_topic_score_gemma":0.007143029,"teacher_disagreement_score":0.009329494,"about_ca_system_score_codex":0.001823414,"about_ca_system_score_gemma":0.00087660877,"threshold_uncertainty_score":0.018550396},"labels":[],"label_agreement":null},{"id":"W3122468877","doi":"10.1287/mnsc.2020.3646","title":"Are Inventors or Firms the Engines of Innovation?","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Southern Methodist University","keywords":"Matching (statistics); Entrepreneurship; Industrial organization; Variance (accounting); Human capital; Economics; Capital (architecture); Business; Production (economics); Labour economics; Microeconomics; Market economy","score_opus":0.08350152461442288,"score_gpt":0.24699123314489294,"score_spread":0.16348970853047007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122468877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556216,0.008236785,0.0057961536,0.00961151,0.00012096187,0.000034240773,0.00021772015,0.000035243364,0.020325808],"genre_scores_gemma":[0.9940323,0.0020327298,0.00048330793,0.00061323564,0.0001952288,0.000012027061,0.000064270425,0.0000030816107,0.0025636975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890137,0.00030257754,0.000057053057,0.00027273316,0.00025707085,0.00020923105],"domain_scores_gemma":[0.9853677,0.0077462154,0.0046952823,0.00074452575,0.00047868933,0.00096749794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033312852,0.00019620472,0.00070879614,0.0014496868,0.00063686125,0.0026622063,0.00048741183,0.001194899,0.005333809],"category_scores_gemma":[0.0174546,0.00017150202,0.0002522798,0.0019510336,0.0015772269,0.00549971,0.0007007609,0.00056274154,0.0007762552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025209703,0.00015545695,0.8121167,0.00020491862,0.00020771514,0.00043347778,0.0020245865,0.0011492597,0.0009143668,0.06603039,0.003494184,0.11301685],"study_design_scores_gemma":[0.00013035405,0.0003214779,0.74584764,0.00040283927,0.00028468657,0.0017008055,0.009238524,0.00698429,0.0017334562,0.18055546,0.052719124,0.000081406004],"about_ca_topic_score_codex":0.0010994431,"about_ca_topic_score_gemma":0.0010118242,"teacher_disagreement_score":0.005333809,"about_ca_system_score_codex":0.0005257532,"about_ca_system_score_gemma":0.00044079617,"threshold_uncertainty_score":0.017843366},"labels":[],"label_agreement":null},{"id":"W3122473353","doi":"","title":"STRATEGIC PATENT BREADTH AND ENTRY DETERRENCE WITH DRASTIC PRODUCT INNOVATIONS","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Innovator; Economic rent; Deterrence theory; Product (mathematics); Business; Industrial organization; Product innovation; Quality (philosophy); Product differentiation; Economics; Microeconomics; Entrepreneurship; Finance","score_opus":0.1012256290079966,"score_gpt":0.2816774858456107,"score_spread":0.1804518568376141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122473353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97152,0.0006882964,0.013181978,0.00045242085,0.000011779377,0.000030737443,0.000025267154,0.000020131789,0.014069341],"genre_scores_gemma":[0.9987924,0.00008636542,0.00056686247,0.00003171273,0.000011463583,0.000004007517,0.000005341061,0.0000014032335,0.0005004524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987954,0.0003960523,0.00006549497,0.00017657218,0.00030845933,0.00025799108],"domain_scores_gemma":[0.9831129,0.010078366,0.0045190137,0.0006617967,0.00058791233,0.0010401352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002401507,0.00029917393,0.0009959808,0.00073032686,0.00041467667,0.0020860685,0.0003915398,0.0013694663,0.003626429],"category_scores_gemma":[0.012862065,0.0002724724,0.00036891727,0.0004007511,0.0015228963,0.0015624819,0.0018535232,0.0011385656,0.00023329038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003480316,0.001248703,0.14126717,0.0011322015,0.00049395073,0.0021455262,0.00110541,0.22218099,0.12582546,0.3759511,0.0021701255,0.12299899],"study_design_scores_gemma":[0.00057840656,0.0042132735,0.14279975,0.0002706486,0.0003914654,0.002547789,0.0014523829,0.31032172,0.035933346,0.49406108,0.0072336583,0.0001964198],"about_ca_topic_score_codex":0.0003852443,"about_ca_topic_score_gemma":0.00048588496,"teacher_disagreement_score":0.003626429,"about_ca_system_score_codex":0.0005960185,"about_ca_system_score_gemma":0.0006629586,"threshold_uncertainty_score":0.012700498},"labels":[],"label_agreement":null},{"id":"W3122554541","doi":"10.51240/jibe.2014.2.5","title":"Acquisitions, Profitability, and Growth: A Study of Canadian Firms","year":2014,"lang":"en","type":"article","venue":"Journal of International Business and Economy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Asset (computer security); Finance; Industrial organization; Monetary economics; Economics","score_opus":0.02139201729558502,"score_gpt":0.21217368844670437,"score_spread":0.19078167115111935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122554541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307454,0.0009793201,0.000026112435,0.0005453186,0.000006904256,0.00002082554,0.0017227118,0.000004313002,0.0036199754],"genre_scores_gemma":[0.99604094,0.0010577746,0.0000751557,0.00016662879,0.000007670131,0.000010652436,0.001592925,0.000005749957,0.0010425465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989126,0.00006685002,0.000043039126,0.00011047772,0.0003792798,0.0004878044],"domain_scores_gemma":[0.9937895,0.00062249706,0.0012062001,0.00013650133,0.0024566385,0.001788518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010090839,0.00042006918,0.00043329867,0.0032405665,0.0066595785,0.0030340378,0.0011259275,0.0008909154,0.0022983798],"category_scores_gemma":[0.0044818204,0.00041147173,0.0005663543,0.012668271,0.0016118507,0.0012091404,0.0012924802,0.0011784374,0.00033407024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001308108,0.00016158927,0.98128015,0.000045327968,0.0000515321,0.00024430963,0.005745722,0.00027141697,0.00015482728,0.0008706282,0.0030371253,0.008006644],"study_design_scores_gemma":[0.0000074153845,0.000028692279,0.9917704,0.00003076911,0.000016962398,0.00008501038,0.0051076547,0.00027440384,0.00003529961,0.00006146049,0.002558797,0.00002310314],"about_ca_topic_score_codex":0.9952939,"about_ca_topic_score_gemma":0.99748945,"teacher_disagreement_score":0.04862901,"about_ca_system_score_codex":0.04862901,"about_ca_system_score_gemma":0.05127583,"threshold_uncertainty_score":0.3528298},"labels":[],"label_agreement":null},{"id":"W3122559980","doi":"","title":"Patterns of Corporate Diversification in Canada: An Empirical Analysis","year":2000,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Diversification (marketing strategy); Business; Industrial organization; Economic geography; Economics; Marketing","score_opus":0.23485612423264995,"score_gpt":0.35612928058040805,"score_spread":0.1212731563477581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122559980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786103,0.00073799264,0.00033309805,0.0003773794,0.000004865322,0.000071911694,0.01523022,0.000034496305,0.0045997836],"genre_scores_gemma":[0.9866862,0.0007580433,0.0005553945,0.00007913273,0.0000061605565,0.00003020346,0.009841591,0.00001063143,0.0020326534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864966,0.00007744701,0.000064511354,0.00016619866,0.0005862569,0.00045589686],"domain_scores_gemma":[0.9918761,0.0008386175,0.0017826868,0.00024559352,0.0038486891,0.001408198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093424,0.00042163115,0.000436859,0.007817646,0.002787115,0.0018971224,0.0014100852,0.00042222705,0.0039159115],"category_scores_gemma":[0.0055499827,0.00034661012,0.0005662644,0.019254837,0.0008544311,0.00053434615,0.0012497933,0.000545717,0.00047349557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046477388,0.00003432814,0.9854393,0.000039894432,0.00005220188,0.00014502433,0.0010608082,0.0006268161,0.00013684377,0.0006284751,0.0030363551,0.008753568],"study_design_scores_gemma":[0.0000038134308,0.000009272741,0.9935748,0.000024139259,0.000012663074,0.000068092224,0.0014177043,0.0018790559,0.00006882283,0.0000640001,0.0028626756,0.000015038548],"about_ca_topic_score_codex":0.9957147,"about_ca_topic_score_gemma":0.9970355,"teacher_disagreement_score":0.04080685,"about_ca_system_score_codex":0.04080685,"about_ca_system_score_gemma":0.03495564,"threshold_uncertainty_score":0.29607576},"labels":[],"label_agreement":null},{"id":"W3122575063","doi":"","title":"The Trend to Smaller Producers in Manufacturing: A Canada/U.S. Comparison","year":2002,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Agricultural economics; Industrial organization; Economics","score_opus":0.05318160896416719,"score_gpt":0.20789553258023796,"score_spread":0.15471392361607078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122575063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88701004,0.012573561,0.000828395,0.011991107,0.00016730353,0.000060044364,0.0077285403,0.000100092795,0.079540975],"genre_scores_gemma":[0.982736,0.005166563,0.00045407927,0.00075907534,0.000035012665,0.000010902419,0.0019196534,0.00002584414,0.008892806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921155,0.00002008503,0.000018584868,0.000095798394,0.00029974984,0.00035423902],"domain_scores_gemma":[0.9957604,0.00020368792,0.00048677874,0.000057542416,0.0025549629,0.0009365865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008131662,0.00025926426,0.0003040849,0.00492555,0.0034239648,0.00237816,0.00053824874,0.00043795918,0.00569203],"category_scores_gemma":[0.0020506321,0.00012721542,0.0003980381,0.008061115,0.0010412133,0.00063838874,0.0008395595,0.00080394687,0.00033349774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072325225,0.00012484285,0.778503,0.00054055045,0.00012107028,0.0010495957,0.010948428,0.0017549304,0.004648684,0.026700933,0.034593184,0.14029148],"study_design_scores_gemma":[0.000009912887,0.000035413123,0.9489527,0.000086796965,0.000045122055,0.00012926977,0.00495104,0.0003583255,0.0006656951,0.0002803332,0.044464935,0.000020549367],"about_ca_topic_score_codex":0.9878776,"about_ca_topic_score_gemma":0.99615747,"teacher_disagreement_score":0.028017906,"about_ca_system_score_codex":0.028017906,"about_ca_system_score_gemma":0.037619855,"threshold_uncertainty_score":0.2032851},"labels":[],"label_agreement":null},{"id":"W3122610117","doi":"","title":"Looking forward via the Past: An Investigation of the Evolution of the Knowledge Base of Robotics Firms","year":2019,"lang":"en","type":"article","venue":"TSpace","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Collegio Carlo Alberto","keywords":"Robotics; Restructuring; Artificial intelligence; Context (archaeology); Knowledge base; Perspective (graphical); Set (abstract data type); Industrial organization; Knowledge management; Preference; Business; Economics; Robot; Computer science; Microeconomics","score_opus":0.02387785113820619,"score_gpt":0.23942155760368342,"score_spread":0.21554370646547721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122610117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99708277,0.00017151926,0.00024574602,0.00011183111,5.549171e-7,0.0000042449437,0.000048071135,0.0000021443977,0.002333001],"genre_scores_gemma":[0.99953043,0.00007286516,0.0002008174,0.000006227761,7.498203e-7,0.0000013538366,0.00003367377,7.338477e-7,0.00015323887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993513,0.00022678728,0.000037126694,0.00012277349,0.0001451761,0.00011670357],"domain_scores_gemma":[0.9893142,0.006444266,0.0024363387,0.0005183457,0.0007393374,0.00054757565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015978232,0.00007861492,0.00021360998,0.003616915,0.00089476904,0.0025107577,0.0006407889,0.0007308362,0.0011016404],"category_scores_gemma":[0.009160352,0.00014402167,0.000167922,0.003939031,0.001350722,0.0025760247,0.000986944,0.00040858903,0.0000972215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002810342,0.00025692745,0.869607,0.00010959447,0.00013932637,0.002165374,0.02716153,0.0059366766,0.0030738802,0.02188312,0.0003291599,0.069056466],"study_design_scores_gemma":[0.000010678673,0.00019746252,0.956664,0.00006356258,0.00005538351,0.0009802264,0.017874118,0.011110261,0.0017062324,0.0057479697,0.0055384045,0.000051663985],"about_ca_topic_score_codex":0.01461738,"about_ca_topic_score_gemma":0.01954827,"teacher_disagreement_score":0.01461738,"about_ca_system_score_codex":0.002093651,"about_ca_system_score_gemma":0.00071669905,"threshold_uncertainty_score":0.029064596},"labels":[],"label_agreement":null},{"id":"W3122656238","doi":"","title":"Comparing the Innovation Performance in Canadian, French and German Manufacturing Enterprises","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); German; Economics; Yardstick; Welfare economics; Econometrics; Industrial organization; Geography; Mathematics","score_opus":0.05179434178828016,"score_gpt":0.287189643241596,"score_spread":0.23539530145331586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122656238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499715,0.0011284675,0.0002074288,0.00025499173,0.000008363136,0.00001572299,0.0013475445,0.000024772351,0.012015528],"genre_scores_gemma":[0.9935688,0.00058009085,0.00024701038,0.00003800097,0.000004995898,0.000007895207,0.0010465293,0.0000050067533,0.0045017744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757534,0.00019301465,0.00006615122,0.00022054213,0.000944636,0.0010003527],"domain_scores_gemma":[0.9945642,0.0011393427,0.000609536,0.00015935766,0.0028830431,0.00064450357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019370606,0.00036056014,0.00043798296,0.0038653347,0.0015289896,0.0028548383,0.00061957346,0.0006806828,0.0022385633],"category_scores_gemma":[0.007032423,0.00014117584,0.0006710619,0.0068053235,0.00078797224,0.00061873166,0.0008959472,0.00033380344,0.00030961592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005350801,0.00010745916,0.89322096,0.00024113808,0.00035918647,0.00029724717,0.0035781262,0.015603337,0.0017986251,0.0086990725,0.004134463,0.07142534],"study_design_scores_gemma":[0.000010483106,0.00006252198,0.9881974,0.000036682013,0.000077838224,0.000035638088,0.0017369811,0.0024895642,0.0006297234,0.00017373297,0.0065146177,0.000034875637],"about_ca_topic_score_codex":0.967389,"about_ca_topic_score_gemma":0.97674733,"teacher_disagreement_score":0.96462506,"about_ca_system_score_codex":0.035374917,"about_ca_system_score_gemma":0.028375672,"threshold_uncertainty_score":0.25666422},"labels":[],"label_agreement":null},{"id":"W3122656880","doi":"","title":"Stimulating Innovation: Is Canada Pursuing the Right Policies?","year":2012,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Perspective (graphical); Productivity; Open innovation; Business; Public policy; Innovation economics; Economics; Innovation management; Industrial organization; Marketing; Economic system; Economic growth; Political science","score_opus":0.03685212545164339,"score_gpt":0.2558956757043319,"score_spread":0.2190435502526885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122656880","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09920885,0.01884072,0.0029806453,0.63660103,0.001251777,0.00019149174,0.0018726888,0.00019806407,0.23885465],"genre_scores_gemma":[0.87732,0.020749787,0.004997907,0.056575324,0.0003338425,0.000112599184,0.00067202933,0.00008980032,0.039148822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9883062,0.0009859187,0.00025592252,0.0007519292,0.0044158446,0.0052841846],"domain_scores_gemma":[0.9797677,0.003176768,0.0012051151,0.0006025478,0.00854144,0.0067065414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059641693,0.0004414696,0.0007546044,0.003147894,0.013960843,0.015312055,0.002181373,0.00469839,0.0079518175],"category_scores_gemma":[0.022791412,0.00029307007,0.00080789725,0.008220486,0.006963387,0.004956922,0.0027812303,0.004107229,0.00060322654],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00019085642,0.00012260549,0.041352432,0.0007008729,0.0000888721,0.00039877635,0.005841742,0.0034006012,0.0010508283,0.6597981,0.1214793,0.16557501],"study_design_scores_gemma":[0.00015425251,0.00011403344,0.09399776,0.0018011371,0.00023333612,0.0002341196,0.02735553,0.0047661276,0.0021093485,0.10853931,0.76031446,0.0003804905],"about_ca_topic_score_codex":0.98941666,"about_ca_topic_score_gemma":0.9905634,"teacher_disagreement_score":0.81373894,"about_ca_system_score_codex":0.18626104,"about_ca_system_score_gemma":0.45742843,"threshold_uncertainty_score":0.94382185},"labels":[],"label_agreement":null},{"id":"W3122693086","doi":"","title":"Unemployment, entrepreneurship and firm outcomes","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Entrepreneurship; Unemployment; Subsidy; Labour economics; Productivity; Wage; Economics; Business; Demographic economics; Economic growth; Finance; Market economy","score_opus":0.06966809494209968,"score_gpt":0.30677184432958526,"score_spread":0.23710374938748557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122693086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944489,0.0004887746,0.00017670575,0.00045323942,0.0000097684,0.000008585803,0.0023241204,0.000005253524,0.0020846985],"genre_scores_gemma":[0.99739194,0.00011056662,0.000041638978,0.000028650902,0.000008368262,0.000005491396,0.0012613757,0.0000025959566,0.0011493936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933535,0.00013259813,0.0000453329,0.00013637893,0.0000848955,0.0002653583],"domain_scores_gemma":[0.9903024,0.0028771684,0.003851527,0.00046436113,0.00041595165,0.0020886508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013732022,0.00011857182,0.00045261084,0.0009866797,0.00075002585,0.0016728299,0.0003624024,0.0006126769,0.006081804],"category_scores_gemma":[0.009607306,0.00013935142,0.000361829,0.0014155748,0.0005704008,0.0006658327,0.0009423057,0.0007903554,0.00072333217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024178464,0.00010328607,0.99023855,0.000027161448,0.000108769265,0.00007789537,0.00017577781,0.0010615387,0.00007339804,0.001095235,0.0011698109,0.0056267944],"study_design_scores_gemma":[0.000018930989,0.000041688094,0.99586844,0.00002544102,0.00003725332,0.000032304695,0.00047379112,0.0009871534,0.000061316576,0.0012764977,0.001167611,0.000009550624],"about_ca_topic_score_codex":0.050141945,"about_ca_topic_score_gemma":0.0770289,"teacher_disagreement_score":0.050141945,"about_ca_system_score_codex":0.0009603675,"about_ca_system_score_gemma":0.0006256519,"threshold_uncertainty_score":0.09970015},"labels":[],"label_agreement":null},{"id":"W3122712104","doi":"","title":"Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Differential (mechanical device); Econometrics; Personal computer; Charge (physics); Microeconomics; Computer science; Engineering","score_opus":0.04968804445587538,"score_gpt":0.2798072591365045,"score_spread":0.23011921468062912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122712104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75386643,0.0005358414,0.24061847,0.0011050234,0.000038313472,0.00007438097,0.00057243014,0.00019752192,0.0029916845],"genre_scores_gemma":[0.9891677,0.00024619003,0.0078774495,0.0000789875,0.00005787541,0.00003298579,0.00037167827,0.00002876117,0.00213847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985481,0.0006770216,0.000056588615,0.00029985406,0.00017628049,0.00024219783],"domain_scores_gemma":[0.98052627,0.014631919,0.0021254339,0.0017373975,0.00055696996,0.0004220133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047645173,0.0006603581,0.0017395514,0.0014319589,0.00044649345,0.0029449344,0.0015830669,0.0016858806,0.0038141208],"category_scores_gemma":[0.023017354,0.0007884845,0.002281711,0.0014017059,0.0016046048,0.0025519258,0.0014566212,0.0023807634,0.00039648917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061244343,0.0005765677,0.047492817,0.00024788245,0.0009083044,0.0008293418,0.0008355599,0.7157906,0.0068279486,0.17568658,0.0031859165,0.04700601],"study_design_scores_gemma":[0.000033225362,0.00007209653,0.009870013,0.000012493516,0.000077440396,0.000091769405,0.000060063718,0.9500458,0.00030226036,0.039072644,0.00031172403,0.000050426235],"about_ca_topic_score_codex":0.0065627377,"about_ca_topic_score_gemma":0.0044302284,"teacher_disagreement_score":0.0065627377,"about_ca_system_score_codex":0.0009176837,"about_ca_system_score_gemma":0.0006528694,"threshold_uncertainty_score":0.025197446},"labels":[],"label_agreement":null},{"id":"W3122747578","doi":"","title":"Recent Trends in UK Cross-Border Mergers and Acquisitions","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Business; European union; Scale (ratio); Government (linguistics); Distribution (mathematics); Service (business); Value (mathematics); Economic geography; International trade; Finance; Economics; Marketing; Geography","score_opus":0.020432901414633345,"score_gpt":0.2916078856539265,"score_spread":0.27117498423929315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122747578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9120256,0.0473033,0.0006410946,0.006160001,0.00017190899,0.00003457481,0.0056150462,0.0000817804,0.0279666],"genre_scores_gemma":[0.95901537,0.024648804,0.0004899215,0.0009089273,0.00012635649,0.000022255672,0.004195865,0.000022461756,0.0105701145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855345,0.00016984505,0.00026139364,0.0003000061,0.00050221017,0.00021304176],"domain_scores_gemma":[0.9921554,0.0012529398,0.0044267527,0.00016525207,0.0015893963,0.00041037772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486701,0.00023704648,0.00023968548,0.0030906408,0.00031020358,0.0021707069,0.00026156762,0.0006785535,0.0045016995],"category_scores_gemma":[0.0061357566,0.00017882478,0.0002033246,0.0067416844,0.00042579303,0.0016452561,0.0009003373,0.00056419324,0.0010095292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006450878,0.000096141404,0.6488123,0.001425247,0.00015576786,0.0023401496,0.0041498225,0.0018834302,0.0024855626,0.016896877,0.027403377,0.29370618],"study_design_scores_gemma":[0.0000069352604,0.0000902554,0.9230716,0.00024162029,0.00002262744,0.0012620869,0.0015795544,0.00048393582,0.0008069979,0.0002140086,0.07219336,0.000027041395],"about_ca_topic_score_codex":0.040806122,"about_ca_topic_score_gemma":0.05167545,"teacher_disagreement_score":0.040806122,"about_ca_system_score_codex":0.003481786,"about_ca_system_score_gemma":0.0010328867,"threshold_uncertainty_score":0.08113718},"labels":[],"label_agreement":null},{"id":"W3122760850","doi":"","title":"Fixed Capital Adjustment: Is Latin America Different?","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flexibility (engineering); Latin Americans; Economics; Capital (architecture); Fixed capital; Fixed cost; Monetary economics; Industrial organization; Business; Microeconomics; Capital formation; Financial capital; Geography; Political science; Management","score_opus":0.019312767233783622,"score_gpt":0.19318432907842284,"score_spread":0.17387156184463923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122760850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947342,0.005758863,0.0014545121,0.0062804753,0.00006255059,0.000032583142,0.001384023,0.000055645054,0.037629366],"genre_scores_gemma":[0.9950766,0.0019098835,0.00033845182,0.00061142474,0.0000429351,0.000013328927,0.00073695654,0.000020827045,0.0012496097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994947,0.00012896986,0.000031374308,0.00015194205,0.000050175848,0.00014294764],"domain_scores_gemma":[0.99721485,0.000799424,0.0010409773,0.0003390612,0.00037716696,0.00022854091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011546342,0.0002745795,0.0005674696,0.0017621306,0.0005353204,0.0030982178,0.0005413409,0.0006434216,0.004397655],"category_scores_gemma":[0.005368681,0.00014247735,0.00039518657,0.0041140807,0.0011305076,0.0019133969,0.0008848277,0.00056926237,0.000351637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048569782,0.000086632404,0.8993848,0.00022203417,0.00034553793,0.00058736716,0.0045059687,0.0014226735,0.0015819143,0.01680539,0.0033099232,0.07126207],"study_design_scores_gemma":[0.000050888542,0.00005822472,0.94369906,0.00028873468,0.00018236057,0.0002260276,0.009501802,0.0019494127,0.000593648,0.008821418,0.03457784,0.00005065192],"about_ca_topic_score_codex":0.07847116,"about_ca_topic_score_gemma":0.057595547,"teacher_disagreement_score":0.07847116,"about_ca_system_score_codex":0.0016217344,"about_ca_system_score_gemma":0.00068766926,"threshold_uncertainty_score":0.1560288},"labels":[],"label_agreement":null},{"id":"W3122779936","doi":"","title":"Asymmetric Stochastic Conditional Duration Model — A Mixture-of-Normal Approach","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Duration (music); Bivariate analysis; Econometrics; IBM; Extension (predicate logic); Mathematics; Statistics; Computer science","score_opus":0.02981319778057598,"score_gpt":0.2039262805476842,"score_spread":0.1741130827671082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122779936","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029024726,0.0005663042,0.9653035,0.0006285975,0.000111141126,0.00007895326,0.00064348883,0.00032003745,0.0033232486],"genre_scores_gemma":[0.8028497,0.0020367666,0.17006516,0.0003454935,0.0005212683,0.00052055845,0.002171765,0.00028006762,0.021209229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729663,0.0011050826,0.00014112824,0.000684127,0.00045435247,0.00031862548],"domain_scores_gemma":[0.99123937,0.005201152,0.001284782,0.0008549234,0.00096270605,0.00045703488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060270997,0.0011386377,0.0020107687,0.0022352322,0.00064885046,0.0023627405,0.004583518,0.0024579323,0.0060942653],"category_scores_gemma":[0.016987134,0.0010816936,0.0017165901,0.0022312,0.0018874696,0.0044695935,0.0022840404,0.0034175327,0.0015341728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022769815,0.00009455613,0.005478095,0.00011308537,0.00015120379,0.00030029024,0.0003523916,0.29164335,0.001168833,0.66599286,0.0027814812,0.031696215],"study_design_scores_gemma":[0.000021645319,0.00002832753,0.0009221313,0.000019153185,0.00004414588,0.0001478546,0.000026091964,0.89431715,0.00019130012,0.10170632,0.0025332032,0.000042680673],"about_ca_topic_score_codex":0.008346668,"about_ca_topic_score_gemma":0.0055733146,"teacher_disagreement_score":0.008346668,"about_ca_system_score_codex":0.0017075617,"about_ca_system_score_gemma":0.001660974,"threshold_uncertainty_score":0.031874716},"labels":[],"label_agreement":null},{"id":"W3122808945","doi":"","title":"Technological Penetration and Cumulative Benefits in SMEs","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Manufacturing sector; Penetration (warfare); Industrial organization; Welfare economics; Business; Economics; Economic geography; Labour economics; Management","score_opus":0.06121669860087706,"score_gpt":0.2991418236351097,"score_spread":0.23792512503423266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122808945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966822,0.00041859798,0.00024475635,0.00006831561,0.0000017266063,0.0000023002794,0.000052601452,0.0000052575647,0.002524115],"genre_scores_gemma":[0.99938715,0.00013713214,0.000041556046,0.0000063645175,0.000004106045,0.0000020216241,0.000032128042,0.0000012314904,0.0003883338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961,0.00011418766,0.00002539577,0.000049338196,0.0001096988,0.00009142045],"domain_scores_gemma":[0.9851579,0.009744402,0.0023900575,0.0005201072,0.0010475764,0.0011399635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096771173,0.00012645239,0.00022491075,0.0011895071,0.00019520806,0.0011517139,0.00021193162,0.0007085834,0.004632817],"category_scores_gemma":[0.010656517,0.00013113367,0.00028307416,0.0012417353,0.00033309995,0.0012023407,0.0010838758,0.0005138899,0.0005598742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062804145,0.00025430645,0.91538554,0.000116166455,0.00015820665,0.000979443,0.001679952,0.006312754,0.0045829765,0.003397181,0.00027459033,0.066230774],"study_design_scores_gemma":[0.000007329311,0.00045270607,0.9904731,0.000041547613,0.000066257926,0.00080138457,0.00080548803,0.0024052246,0.0007467749,0.003442729,0.00074253243,0.000014881122],"about_ca_topic_score_codex":0.0007229769,"about_ca_topic_score_gemma":0.00110295,"teacher_disagreement_score":0.004632817,"about_ca_system_score_codex":0.00025755394,"about_ca_system_score_gemma":0.00013353507,"threshold_uncertainty_score":0.01549834},"labels":[],"label_agreement":null},{"id":"W3122814131","doi":"10.5683/sp3/bfrn2v","title":"Firm Dynamics: Employment Growth Rates of Small Versus Large Firms in Canada","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Demographic economics; Regression analysis; Economics; Econometrics; Business; Labour economics; Statistics; Mathematics","score_opus":0.059538086057147104,"score_gpt":0.2870765675159881,"score_spread":0.22753848145884098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122814131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801917,0.0013211376,0.00010970915,0.00078754744,0.000011321453,0.000010551295,0.010867538,0.000029001498,0.006671404],"genre_scores_gemma":[0.9941896,0.00044168206,0.00007328247,0.0000396398,0.00000564512,0.000002821681,0.003051128,0.000007249804,0.0021888497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994369,0.000019818093,0.000018892997,0.000083060964,0.00020496141,0.00023633293],"domain_scores_gemma":[0.9962191,0.00052098825,0.0008858066,0.00008884051,0.0013505431,0.00093474163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053276756,0.00020594732,0.00024360768,0.0034969707,0.0012679375,0.0016334824,0.00075224164,0.00041375702,0.0029568707],"category_scores_gemma":[0.0032888737,0.00014526393,0.0003311741,0.006224031,0.00053619157,0.0005611823,0.00074663677,0.00061766553,0.00033769585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022064257,0.000040365783,0.969162,0.00006251426,0.000055432753,0.00021046415,0.0017060966,0.0019519506,0.0005801063,0.0028329974,0.0057413517,0.017436089],"study_design_scores_gemma":[0.0000046396635,0.00000927911,0.9945398,0.000018837864,0.000012562659,0.00003366999,0.0013389804,0.0013894337,0.00015306365,0.000105923325,0.0023808475,0.000012949518],"about_ca_topic_score_codex":0.9915107,"about_ca_topic_score_gemma":0.9928762,"teacher_disagreement_score":0.02035288,"about_ca_system_score_codex":0.02035288,"about_ca_system_score_gemma":0.013430524,"threshold_uncertainty_score":0.14767116},"labels":[],"label_agreement":null},{"id":"W3122883649","doi":"10.21034/wp.741","title":"Small and Large Firms over the Business Cycle","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Colby College; Inter-American Development Bank","keywords":"Business cycle; Recession; Monetary economics; Investment (military); Debt; Economics; Rest (music); Skewness; Business; Econometrics; Finance; Macroeconomics","score_opus":0.05529198765951112,"score_gpt":0.2355993249290762,"score_spread":0.18030733726956508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122883649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205714,0.0006161,0.0011177204,0.0002306399,0.000012908806,0.00001761546,0.0021358156,0.000019944113,0.003792234],"genre_scores_gemma":[0.9977985,0.00016592529,0.00009587564,0.000029038194,0.000022471164,0.0000071813593,0.0012129952,0.0000035131643,0.00066440384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995839,0.000056973466,0.000032241347,0.0001622794,0.000075997625,0.00008855424],"domain_scores_gemma":[0.9911437,0.0028622295,0.0043010367,0.0005397948,0.00043058564,0.000722678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087488693,0.0001400783,0.00031449014,0.0013690413,0.00026007037,0.0010457385,0.00029461118,0.00029997333,0.0027697762],"category_scores_gemma":[0.009001089,0.00012831787,0.0001905212,0.0020675175,0.00050865085,0.0006865322,0.00072737463,0.00047583843,0.00031736563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038492522,0.00006242813,0.95854926,0.000063482265,0.00013800395,0.00017715376,0.00047756743,0.0045599085,0.0013143863,0.005110017,0.0027998528,0.026362969],"study_design_scores_gemma":[0.000015461022,0.00005614886,0.9853645,0.000016079035,0.00004692505,0.000136643,0.00030610125,0.006216251,0.0003168974,0.004310226,0.003200711,0.000014020077],"about_ca_topic_score_codex":0.0069616884,"about_ca_topic_score_gemma":0.010114649,"teacher_disagreement_score":0.0069616884,"about_ca_system_score_codex":0.00041105127,"about_ca_system_score_gemma":0.00021669958,"threshold_uncertainty_score":0.013842344},"labels":[],"label_agreement":null},{"id":"W3122887510","doi":"10.2139/ssrn.1961598","title":"Firm Survival and Industry Evolution in Vertically Related Populations","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Survival of the fittest; Business; Industrial organization; Economic geography; Evolutionary biology; Economics; Biology","score_opus":0.04134031040748157,"score_gpt":0.22552975966467628,"score_spread":0.18418944925719472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122887510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992021,0.00004725809,0.00032125448,0.00007724916,0.0000015768779,0.0000018498744,0.000031854495,0.000002363407,0.0003146172],"genre_scores_gemma":[0.9992386,0.000027546359,0.000106182895,0.0000152524935,0.0000039907104,0.000002281983,0.000059614693,0.0000014979973,0.0005449711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994929,0.00017975141,0.00002606691,0.00012211973,0.00003911353,0.00014000524],"domain_scores_gemma":[0.9885011,0.007020128,0.001817087,0.00063670886,0.0008300745,0.0011949842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022252377,0.00014055663,0.00032543397,0.0010821312,0.0007039292,0.0014103753,0.00052476913,0.0009996536,0.0048752856],"category_scores_gemma":[0.014651741,0.00017540541,0.00040679058,0.00090668886,0.00097413384,0.0012353772,0.00092174223,0.0008861266,0.00037203566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004644128,0.00018289956,0.9488562,0.000026371656,0.00018276687,0.00065391406,0.0013128123,0.010596182,0.0038612073,0.012243783,0.0005868701,0.021032618],"study_design_scores_gemma":[0.00009162441,0.00041755993,0.8804027,0.000021075966,0.00019263347,0.0012137314,0.0044499408,0.08445356,0.00090725994,0.027024306,0.0007834462,0.000042084313],"about_ca_topic_score_codex":0.005815232,"about_ca_topic_score_gemma":0.007435636,"teacher_disagreement_score":0.005815232,"about_ca_system_score_codex":0.0005691191,"about_ca_system_score_gemma":0.00032725904,"threshold_uncertainty_score":0.01630944},"labels":[],"label_agreement":null},{"id":"W3122927273","doi":"","title":"SUNK COSTS AND THE DEPTH AND PROBABILITY OF TECHNOLOGY ADOPTION","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sunk costs; Exploit; Industrial organization; Business; Economics; Microeconomics; Econometrics; Marketing; Computer science","score_opus":0.010436129814968232,"score_gpt":0.2014606482413558,"score_spread":0.19102451842638757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122927273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97012323,0.0009924439,0.017838143,0.0007920236,0.000014244098,0.000077943696,0.00039502748,0.00007852723,0.009688527],"genre_scores_gemma":[0.9970245,0.00026988622,0.0013333678,0.00003312208,0.000019472862,0.000015862743,0.000095978765,0.00000685978,0.0012009504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806017,0.0003298157,0.00016482554,0.000449221,0.0005160965,0.00047985706],"domain_scores_gemma":[0.91567194,0.050193712,0.025143433,0.004017907,0.0025641215,0.0024088838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508442,0.00031766167,0.0006468741,0.0018586966,0.00053553365,0.0040163295,0.0008958282,0.0016002001,0.008784364],"category_scores_gemma":[0.035644278,0.0005122642,0.00065546925,0.0018162394,0.0021087173,0.005975887,0.0019353476,0.0017824391,0.00064275536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073429965,0.0005422745,0.7039755,0.00052216934,0.00045250024,0.001054238,0.0020371457,0.101213105,0.00699574,0.08875226,0.0012243699,0.09249632],"study_design_scores_gemma":[0.00013093416,0.0005412716,0.74491364,0.00016137554,0.00020030641,0.001740763,0.0014807517,0.0794136,0.0038409277,0.16360252,0.0037721156,0.00020178736],"about_ca_topic_score_codex":0.0021943925,"about_ca_topic_score_gemma":0.0023083724,"teacher_disagreement_score":0.008784364,"about_ca_system_score_codex":0.0018062192,"about_ca_system_score_gemma":0.0007050474,"threshold_uncertainty_score":0.02938658},"labels":[],"label_agreement":null},{"id":"W3123015964","doi":"10.1177/0969776412474675","title":"Innovative firms behind the regions: Analysis of regional innovation performance in Portugal by external logistic biplots","year":2013,"lang":"en","type":"article","venue":"European Urban and Regional Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Biplot; Conceptualization; Economic geography; Portuguese; Investment (military); Regional science; Regional policy; Business; Sample (material); Industrial organization; Process (computing); Economics; Economic system; Political science; Computer science; Geography","score_opus":0.10539462842491723,"score_gpt":0.2576954424444601,"score_spread":0.15230081401954285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123015964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923735,0.00016578315,0.0029022675,0.00007892123,0.0000058764413,0.000014619873,0.0008714944,0.00003440738,0.0035530343],"genre_scores_gemma":[0.99833614,0.000056987396,0.000705762,0.0000043146315,0.0000056802774,0.000011992154,0.0005431791,0.0000110391475,0.00032494616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984315,0.0008442228,0.00007294084,0.00020451364,0.00018908267,0.00025766794],"domain_scores_gemma":[0.99017835,0.006345259,0.0019502916,0.00061974995,0.00044557275,0.00046063308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020902755,0.00037209157,0.00046499426,0.0025866823,0.0004451136,0.0019174452,0.00066986866,0.0005242322,0.0024587228],"category_scores_gemma":[0.008865302,0.0001436515,0.0012687474,0.0046255495,0.0007669499,0.0006303807,0.0015284081,0.00045861467,0.00044350838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004275468,0.00016583443,0.91751385,0.00013033026,0.00020322742,0.0005980214,0.0009649381,0.05374937,0.00049965794,0.0038006515,0.00072191993,0.021224732],"study_design_scores_gemma":[0.000020640993,0.00011350101,0.888521,0.00004417894,0.000060611448,0.00024745028,0.0020577766,0.104708776,0.00048330228,0.0015717464,0.0021343126,0.000036621786],"about_ca_topic_score_codex":0.015819654,"about_ca_topic_score_gemma":0.008656826,"teacher_disagreement_score":0.015819654,"about_ca_system_score_codex":0.00091825833,"about_ca_system_score_gemma":0.0006482771,"threshold_uncertainty_score":0.03145516},"labels":[],"label_agreement":null},{"id":"W3123031906","doi":"","title":"Growth History, Knowledge Intensity and Capital Structure in Small Firms","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"R&D intensity; Business; Intensity (physics); Capital intensity; Capital structure; Industrial organization; Capital (architecture); Monetary economics; Economics; Market economy; Human capital; Finance; Management; History; Physics; Ancient history","score_opus":0.05145264356748425,"score_gpt":0.26009561265042025,"score_spread":0.208642969082936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123031906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997465,0.00019472839,0.000031210486,0.00008172638,9.673837e-7,0.0000050011695,0.00014012669,0.000001636431,0.0020795735],"genre_scores_gemma":[0.9993082,0.000114236165,0.00001781217,0.0000068437193,0.0000022983459,0.0000013530413,0.0001353883,6.5862463e-7,0.00041325513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997081,0.000022228349,0.000013391132,0.00002375067,0.00010638192,0.00012611126],"domain_scores_gemma":[0.9920265,0.0019241214,0.0023950967,0.00013819142,0.0015572428,0.0019588228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802556,0.0001281446,0.00018720012,0.0019588114,0.000912675,0.0016103152,0.00035504778,0.0003998116,0.0016610665],"category_scores_gemma":[0.0074205613,0.00008741484,0.00012122809,0.0022715265,0.0009489742,0.00085020193,0.0005973937,0.0003911134,0.0002227863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000997331,0.00006772792,0.9868745,0.000016986516,0.000015659984,0.00014854067,0.0017172791,0.00069471414,0.00052431104,0.0009036794,0.00022590812,0.0087109255],"study_design_scores_gemma":[0.000001990035,0.000023646122,0.99779093,0.000007998774,0.00000444431,0.00003713397,0.00097352685,0.00035431984,0.00011065052,0.00027284623,0.00041770324,0.0000048183215],"about_ca_topic_score_codex":0.49588543,"about_ca_topic_score_gemma":0.60626453,"teacher_disagreement_score":0.49588543,"about_ca_system_score_codex":0.0035528436,"about_ca_system_score_gemma":0.00379531,"threshold_uncertainty_score":0.9859981},"labels":[],"label_agreement":null},{"id":"W3123122508","doi":"","title":"Firm Dynamics: Firm Entry and Exit in Canada, 2000 to 2008","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Descriptive statistics; Order (exchange); Dynamics (music); Barriers to entry; Business; Longitudinal data; Economics; Labour economics; Industrial organization; Economic geography; Finance; Statistics; Macroeconomics; Market structure; Computer science","score_opus":0.033109790141081834,"score_gpt":0.2627155655127633,"score_spread":0.22960577537168148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123122508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8301836,0.0037700848,0.0006859231,0.0018239459,0.00006748983,0.00009522504,0.14433108,0.0002411001,0.018801598],"genre_scores_gemma":[0.8945337,0.0022708352,0.0006125717,0.0002253705,0.0000374584,0.000040953164,0.06958338,0.000053961037,0.032641724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984359,0.00003556408,0.000052289226,0.00015812114,0.00067892036,0.00063928135],"domain_scores_gemma":[0.9934923,0.0003363196,0.0012321023,0.00013197616,0.0034700183,0.001337347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008278681,0.0005999557,0.00065949204,0.0055389586,0.0026233941,0.0026425326,0.0016355164,0.00064893335,0.0048389737],"category_scores_gemma":[0.0049181236,0.0003207279,0.0007040215,0.010684041,0.00070847466,0.001129004,0.0015932611,0.0011816438,0.0009932801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006277213,0.00013483751,0.8722154,0.00032129828,0.00015791698,0.00046173262,0.003099913,0.0042583724,0.00043785293,0.004243559,0.05589811,0.058143243],"study_design_scores_gemma":[0.000015017832,0.000026581854,0.9706925,0.00007355497,0.000032356118,0.00007866215,0.001969336,0.0020733604,0.0002407312,0.00016163161,0.024585696,0.000050461058],"about_ca_topic_score_codex":0.9966397,"about_ca_topic_score_gemma":0.9982071,"teacher_disagreement_score":0.048197668,"about_ca_system_score_codex":0.048197668,"about_ca_system_score_gemma":0.052072965,"threshold_uncertainty_score":0.3497002},"labels":[],"label_agreement":null},{"id":"W3123162831","doi":"","title":"New Organisational Forms, Learning and Incentives-Based Inequality","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Incentive; Earnings; Inequality; Complementarity (molecular biology); Economics; Productivity; Work (physics); Labour economics; Microeconomics; Macroeconomics; Accounting","score_opus":0.017091276198217206,"score_gpt":0.2327442253065755,"score_spread":0.21565294910835828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123162831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8427269,0.0013625177,0.07991401,0.005148558,0.000035920315,0.000072604365,0.00015534597,0.0000302917,0.070553854],"genre_scores_gemma":[0.9968477,0.00021461853,0.0013494153,0.000028388755,0.00003415375,0.000014205176,0.000016925414,0.00000246684,0.0014922178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989214,0.00038053165,0.000042963966,0.00013848017,0.00023066506,0.00028600678],"domain_scores_gemma":[0.9940684,0.002802647,0.0015560471,0.0005695579,0.00033371217,0.00066967175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017040848,0.0002309859,0.00037694463,0.000923276,0.00063860987,0.0026823645,0.00059898896,0.0006625525,0.003598559],"category_scores_gemma":[0.007325951,0.00013021198,0.00038114327,0.00085898413,0.003191456,0.0027339996,0.002155008,0.0009809308,0.00018880986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008971335,0.00018592585,0.043421995,0.00005817513,0.000024263078,0.0002814691,0.0011061346,0.027488446,0.00095310045,0.89462274,0.000352708,0.031415403],"study_design_scores_gemma":[0.000035317644,0.00013408167,0.069028035,0.00006246727,0.000018628849,0.00015518231,0.00076145795,0.05828914,0.00040001745,0.86704326,0.0040453286,0.000027104352],"about_ca_topic_score_codex":0.0018397962,"about_ca_topic_score_gemma":0.002011368,"teacher_disagreement_score":0.003598559,"about_ca_system_score_codex":0.0016843636,"about_ca_system_score_gemma":0.00072383,"threshold_uncertainty_score":0.012220979},"labels":[],"label_agreement":null},{"id":"W3123208587","doi":"10.3386/w25064","title":"Economists (and Economics) in Tech Companies","year":2018,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Data science; Neoclassical economics; Computer science","score_opus":0.3724372576471551,"score_gpt":0.4568200235348377,"score_spread":0.08438276588768262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123208587","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03463872,0.041947145,0.011925733,0.6213244,0.0048814532,0.000050576695,0.00033831643,0.00010134094,0.2847923],"genre_scores_gemma":[0.61529815,0.06966646,0.010091286,0.12589502,0.014906439,0.00026704042,0.00027576374,0.00015312452,0.16344662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99770445,0.001021597,0.00008648627,0.0003632975,0.00055351766,0.00027069094],"domain_scores_gemma":[0.9913735,0.005398126,0.000880982,0.00047182472,0.0009707832,0.0009048116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047595436,0.00031954615,0.00047207464,0.0018021436,0.002182053,0.006115969,0.0003420087,0.003334339,0.013484727],"category_scores_gemma":[0.013007604,0.00023930917,0.00023710795,0.003019924,0.0060945777,0.005477633,0.0024080835,0.0043549575,0.0028667075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017883049,0.00005974197,0.005237677,0.000090522495,0.000012439884,0.00008634398,0.0015236825,0.00042507556,0.00018637693,0.89797765,0.07198379,0.022398803],"study_design_scores_gemma":[0.000022704857,0.000019891639,0.0049711764,0.00033768234,0.000010899344,0.00010700378,0.0025455325,0.00064353156,0.00028253134,0.44582814,0.5452117,0.0000194025],"about_ca_topic_score_codex":0.0018532226,"about_ca_topic_score_gemma":0.0017236852,"teacher_disagreement_score":0.013484727,"about_ca_system_score_codex":0.0026835522,"about_ca_system_score_gemma":0.0028100715,"threshold_uncertainty_score":0.04511088},"labels":[],"label_agreement":null},{"id":"W3123214708","doi":"","title":"Labour Productivity of Unincorporated Sole Proprietorships and Partnerships: Impact on the Canada-United States Productivity Gap","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Business sector; Business; Demographic economics; Economics; Economic growth; Economy","score_opus":0.13039732590979644,"score_gpt":0.2934992501974228,"score_spread":0.16310192428762635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123214708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722955,0.0010251724,0.00039194786,0.002677211,0.00006136285,0.000022541215,0.0045100967,0.00004395705,0.018972198],"genre_scores_gemma":[0.9928658,0.0004444087,0.00018119844,0.00019006264,0.000009910223,0.000011403377,0.0021999648,0.0000104272885,0.0040868158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669266,0.00027653234,0.00008466566,0.00023591338,0.0010702565,0.0016398812],"domain_scores_gemma":[0.99251705,0.0008995383,0.001122079,0.00027631718,0.0028398754,0.002345162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013667048,0.00030644168,0.0006195649,0.002244042,0.0028091324,0.003195097,0.0010745022,0.00049165695,0.004059054],"category_scores_gemma":[0.009272725,0.00017495555,0.00062042434,0.0043091215,0.0010400846,0.00080540025,0.0036903871,0.0013454771,0.00039362157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044548584,0.0001269944,0.9156334,0.00013727242,0.00019881707,0.00046969717,0.0033488192,0.0043883864,0.0005442662,0.010390792,0.011119131,0.0531971],"study_design_scores_gemma":[0.000025806183,0.000051803134,0.9751208,0.00008967379,0.00006263871,0.000093829294,0.009270464,0.0027094912,0.000570657,0.00079729996,0.011180607,0.000026985934],"about_ca_topic_score_codex":0.9743154,"about_ca_topic_score_gemma":0.97703403,"teacher_disagreement_score":0.025684595,"about_ca_system_score_codex":0.020965425,"about_ca_system_score_gemma":0.036091074,"threshold_uncertainty_score":0.15211552},"labels":[],"label_agreement":null},{"id":"W3123251628","doi":"","title":"Le « retard » de productivité du Québec : constats et diagnostics","year":2003,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02625271154490373,"score_gpt":0.22795050620830137,"score_spread":0.20169779466339766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123251628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7041353,0.06697814,0.06457041,0.016132055,0.00083268894,0.0009110414,0.02525469,0.000653447,0.12053223],"genre_scores_gemma":[0.9621721,0.006330571,0.012552081,0.0016455712,0.00007906583,0.00028415787,0.0026019393,0.00014257702,0.014191902],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99074334,0.0024892096,0.0006099602,0.0018661247,0.0036099677,0.00068132044],"domain_scores_gemma":[0.9483283,0.024230188,0.0061038663,0.004345379,0.01604697,0.0009453128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017993812,0.00095048366,0.0009530381,0.0037007001,0.0020385978,0.0046027186,0.0020563232,0.0008526618,0.00712004],"category_scores_gemma":[0.044445083,0.0005023343,0.0012421162,0.008572851,0.004169191,0.0018535109,0.0016417737,0.001682133,0.0005085369],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061408634,0.0000465465,0.83286524,0.0020957335,0.0019785892,0.00028528908,0.007336686,0.0048170183,0.0012815641,0.029603323,0.009470083,0.10960586],"study_design_scores_gemma":[0.000039364295,0.00021105714,0.8908252,0.0023853143,0.001133094,0.00013875749,0.0055306074,0.0071606026,0.0027460875,0.007032813,0.08265488,0.00014212432],"about_ca_topic_score_codex":0.9579213,"about_ca_topic_score_gemma":0.9579175,"teacher_disagreement_score":0.97548264,"about_ca_system_score_codex":0.02451735,"about_ca_system_score_gemma":0.026076544,"threshold_uncertainty_score":0.17788666},"labels":[],"label_agreement":null},{"id":"W3123289972","doi":"","title":"Innovation, Survival and Performance of Canadian Manufacturing Plants","year":2004,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Manufacturing sector; Industrial organization; Survival of the fittest; Business; Market share; Economic geography; Economics; Economic growth; Marketing; Labour economics; Biology","score_opus":0.035065074711710865,"score_gpt":0.1934982193301154,"score_spread":0.15843314461840455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123289972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988336,0.0009193796,0.00018802694,0.0006722516,0.000014576805,0.000012256196,0.0029884472,0.000022491873,0.005299135],"genre_scores_gemma":[0.9962302,0.00023117404,0.00004414239,0.000021668287,0.000007186714,0.0000025509516,0.0009805376,0.0000035616838,0.002478985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991715,0.000053982632,0.000026790247,0.00009882504,0.00029501738,0.00035386422],"domain_scores_gemma":[0.99244636,0.0011240103,0.0013978886,0.0002042562,0.0034484183,0.001378957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013666748,0.00027070256,0.00038061553,0.002287515,0.00160851,0.0017352046,0.0009407022,0.0008974031,0.003216943],"category_scores_gemma":[0.0059254663,0.0001255545,0.0005570058,0.0033422096,0.0009009766,0.00052294263,0.0006810942,0.0007880342,0.00043558885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050494546,0.0001351953,0.92267066,0.000096759606,0.00015564935,0.00028134455,0.0018069061,0.020582594,0.00071861316,0.004983271,0.008593192,0.039470877],"study_design_scores_gemma":[0.000011279548,0.000044891916,0.99109125,0.000020313259,0.000038514863,0.000036529633,0.00081144884,0.00466252,0.00016458846,0.0003982052,0.0026841094,0.000036399266],"about_ca_topic_score_codex":0.98658097,"about_ca_topic_score_gemma":0.99218833,"teacher_disagreement_score":0.03763576,"about_ca_system_score_codex":0.03763576,"about_ca_system_score_gemma":0.025306128,"threshold_uncertainty_score":0.27306783},"labels":[],"label_agreement":null},{"id":"W3123294680","doi":"","title":"Sources of Firm Life-Cycle Dynamics: Differentiating Size vs. Age Effects","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Business cycle; Theory of the firm; Margin (machine learning); Life-cycle hypothesis; Microeconomics; Monetary economics; Macroeconomics","score_opus":0.02155119084480016,"score_gpt":0.26310183471419757,"score_spread":0.2415506438693974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123294680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659217,0.003452518,0.01190698,0.002518869,0.00004037045,0.00007696812,0.006755945,0.00016739823,0.009159258],"genre_scores_gemma":[0.99501956,0.00059357635,0.00061022234,0.000072112816,0.000021669135,0.00001035414,0.0016847654,0.000024051309,0.001963682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952185,0.000084142324,0.00002856749,0.00013371595,0.00008845885,0.00014329124],"domain_scores_gemma":[0.9813213,0.009739724,0.004755085,0.0014200103,0.0015199744,0.0012438776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002621375,0.0002861649,0.00056713726,0.0021112484,0.00046145343,0.001789527,0.00077481335,0.00085534144,0.004216313],"category_scores_gemma":[0.015682701,0.00027779568,0.0008386544,0.0018884452,0.00064059923,0.001192066,0.0010122365,0.00086571695,0.00046282762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001768889,0.00005467454,0.9442484,0.00009248815,0.00017928595,0.0002575963,0.0006461907,0.007776757,0.0013040601,0.010225714,0.0021879694,0.032849982],"study_design_scores_gemma":[0.0000152176235,0.000039852406,0.9535594,0.000044676992,0.00015059244,0.00013278954,0.00048186403,0.029673979,0.000731506,0.010420486,0.0047083376,0.000041265634],"about_ca_topic_score_codex":0.08109821,"about_ca_topic_score_gemma":0.09699096,"teacher_disagreement_score":0.08109821,"about_ca_system_score_codex":0.0014262517,"about_ca_system_score_gemma":0.0012541864,"threshold_uncertainty_score":0.16125232},"labels":[],"label_agreement":null},{"id":"W3123344786","doi":"","title":"New firms and labor market entrants: Is there a wage penalty for employment in new firms?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Wage; Labour economics; Matching (statistics); Disadvantage; Point (geometry); Efficiency wage; Economics; Propensity score matching; Business","score_opus":0.04571059180897671,"score_gpt":0.2944166035551282,"score_spread":0.2487060117461515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123344786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897516,0.0015782724,0.0015456543,0.002794735,0.000060533333,0.000021067557,0.00044721898,0.000012748346,0.0037880598],"genre_scores_gemma":[0.99732,0.0004084782,0.00014934494,0.00018860903,0.00008331535,0.0000097421735,0.00034017037,0.0000050452013,0.0014952458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983589,0.0003522109,0.00015761844,0.00026350826,0.0005028134,0.00036500598],"domain_scores_gemma":[0.97730756,0.005988021,0.013384369,0.00070763513,0.00054641796,0.00206607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184855,0.00016426327,0.00061747956,0.0011505169,0.0007703901,0.001607175,0.0006430495,0.0012471064,0.0053376635],"category_scores_gemma":[0.014495724,0.00014770939,0.0004403027,0.0017574114,0.0011310918,0.0013806421,0.0013763196,0.0019529678,0.00061118125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026956154,0.00021917956,0.95311165,0.00009245629,0.00008637259,0.00039983727,0.00087231473,0.0015380862,0.00022140246,0.0059911273,0.0021265242,0.03507159],"study_design_scores_gemma":[0.00002510279,0.00015581038,0.9802186,0.00010432449,0.00003964083,0.0003162084,0.0021498234,0.0033670985,0.00020351373,0.008029386,0.005363366,0.000027042573],"about_ca_topic_score_codex":0.004799149,"about_ca_topic_score_gemma":0.0076706205,"teacher_disagreement_score":0.0053376635,"about_ca_system_score_codex":0.0006649788,"about_ca_system_score_gemma":0.00061790197,"threshold_uncertainty_score":0.01785624},"labels":[],"label_agreement":null},{"id":"W3123357715","doi":"","title":"Financing Innovation in New Small Firms: New Evidence from Canada","year":2002,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital structure; Debt; R&D intensity; Business; Financial structure; Asset (computer security); Debt ratio; Capital intensity; Capital expenditure; Investment (military); Finance; Monetary economics; Economics; Human capital; Market economy","score_opus":0.29922393003756614,"score_gpt":0.33657560748491994,"score_spread":0.03735167744735379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123357715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838536,0.0027531567,0.0001798073,0.0011387968,0.000011300903,0.00004755223,0.0027727261,0.000009327688,0.009233796],"genre_scores_gemma":[0.9930698,0.0027572291,0.00015491106,0.00014014922,0.000015413583,0.000013629605,0.0017227037,0.000004365191,0.0021218238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987318,0.00006124975,0.00007504877,0.00014361065,0.00064127846,0.00034705675],"domain_scores_gemma":[0.97759044,0.0060363873,0.006349216,0.0007034899,0.006645639,0.0026747799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012744009,0.00017012187,0.0005008457,0.0034373933,0.002190588,0.0022231573,0.0008646078,0.00044206885,0.0029907597],"category_scores_gemma":[0.010217259,0.00021795883,0.00030986752,0.008584573,0.0012027175,0.0007494886,0.00096281595,0.0007222449,0.00018756997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032370223,0.00011151836,0.9501259,0.00024347795,0.00008339119,0.0006676435,0.004462507,0.000707324,0.00028832626,0.0026462686,0.0036982393,0.036641713],"study_design_scores_gemma":[0.00003558209,0.000024633762,0.990458,0.00008755627,0.00004978611,0.00008306588,0.0017135224,0.00036770047,0.00017656077,0.0002136463,0.0067726704,0.00001715409],"about_ca_topic_score_codex":0.98220235,"about_ca_topic_score_gemma":0.99196625,"teacher_disagreement_score":0.020734249,"about_ca_system_score_codex":0.020734249,"about_ca_system_score_gemma":0.025299367,"threshold_uncertainty_score":0.15043825},"labels":[],"label_agreement":null},{"id":"W3123361411","doi":"","title":"Productivity Growth in the Canadian Broadcasting and Telecommunications Industry: Evidence from Micro Data","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Broadcasting (networking); Economics; Industrial organization; Aggregate (composite); Telecommunications; Business; International trade; Macroeconomics; Engineering","score_opus":0.1765706869823396,"score_gpt":0.3358288058657426,"score_spread":0.159258118883403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123361411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87265867,0.0029261247,0.0015806936,0.002467023,0.00005779792,0.00010062752,0.10180146,0.00021131159,0.018196233],"genre_scores_gemma":[0.95373285,0.0024860678,0.00074815407,0.0002399644,0.00006202021,0.00005020232,0.03768256,0.00003000887,0.004968147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720424,0.00015197949,0.00010044177,0.00029603124,0.0016538537,0.00059345516],"domain_scores_gemma":[0.98303854,0.0029356796,0.003119753,0.0007476836,0.008766025,0.001392301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016654839,0.00053603057,0.0005671297,0.005795967,0.0016204779,0.0022275872,0.0010799947,0.000477521,0.003788827],"category_scores_gemma":[0.010201588,0.00030536784,0.0004503456,0.01706627,0.0007650346,0.00060056045,0.0009897848,0.0007855675,0.0009323273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020766523,0.00009259285,0.9312731,0.0002183052,0.00024241158,0.00021110673,0.001612674,0.0032087164,0.00037111246,0.0017241462,0.026844319,0.03399395],"study_design_scores_gemma":[0.000011603818,0.000012623014,0.98819274,0.000030852814,0.00003610257,0.00001850854,0.00053266255,0.0013604718,0.00018799119,0.0001227311,0.009471398,0.000022307959],"about_ca_topic_score_codex":0.9929616,"about_ca_topic_score_gemma":0.9935942,"teacher_disagreement_score":0.019266462,"about_ca_system_score_codex":0.019266462,"about_ca_system_score_gemma":0.019716851,"threshold_uncertainty_score":0.13978863},"labels":[],"label_agreement":null},{"id":"W3123366345","doi":"","title":"L'EFFET DE LA CONCENTRATION DE L'ACTIONNARIAT SUR L'OFFRE VOLONTAIRE D'INFORMATIONS DANS LES RAPPORTS ANNUELS DES SOCIÉTÉS CANADIENNES","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04051314315963928,"score_gpt":0.3025568575016363,"score_spread":0.262043714341997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123366345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7887405,0.010684432,0.032554086,0.039441705,0.0009860661,0.00013513853,0.0030952715,0.0014916377,0.122871175],"genre_scores_gemma":[0.9672927,0.0015407009,0.004109073,0.00133258,0.00045373006,0.000098478224,0.00056228676,0.00027494438,0.024335578],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9861659,0.0072353035,0.00052611687,0.0019943858,0.0027922075,0.0012861406],"domain_scores_gemma":[0.6216308,0.32866627,0.01845951,0.011989126,0.013247224,0.0060070474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015140112,0.00066706614,0.0014024796,0.0018442097,0.0018877372,0.011007915,0.001610937,0.0051455027,0.036022685],"category_scores_gemma":[0.16083668,0.00069235923,0.00093731866,0.0020183453,0.0026650883,0.004774155,0.0028267845,0.0044038408,0.0059512723],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01673043,0.0026856225,0.1401505,0.0019270292,0.0019134248,0.0011610888,0.011159493,0.09032146,0.037973262,0.29856023,0.04441446,0.353003],"study_design_scores_gemma":[0.0022445892,0.006933491,0.3564979,0.001280432,0.002048898,0.0021642887,0.011666649,0.18296643,0.06947625,0.22242714,0.14152406,0.00076980295],"about_ca_topic_score_codex":0.014469229,"about_ca_topic_score_gemma":0.007727662,"teacher_disagreement_score":0.9855308,"about_ca_system_score_codex":0.0042364164,"about_ca_system_score_gemma":0.0025552996,"threshold_uncertainty_score":0.120507896},"labels":[],"label_agreement":null},{"id":"W3123373002","doi":"","title":"Are Foreign Firms More Technologically Intensive? UK Establishment Evidence from the ARD","year":2005,"lang":"en","type":"article","venue":"Aston Publications Explorer (Aston University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nationality; Panel data; Key (lock); Business; International trade; Political science; Economics; Immigration; Econometrics; Computer science; Computer security; Law","score_opus":0.0717654701668996,"score_gpt":0.222005609536535,"score_spread":0.1502401393696354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123373002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983489,0.0016294924,0.0002594152,0.0006264926,0.000025962172,0.000006984013,0.002255893,0.000012316922,0.0116945775],"genre_scores_gemma":[0.9957716,0.0008812695,0.000066171684,0.000093891016,0.000021794069,0.0000033646793,0.0012194287,0.0000031035863,0.0019393773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892634,0.00020575659,0.00009372684,0.00024167825,0.00026687383,0.00026558735],"domain_scores_gemma":[0.97860396,0.005701712,0.010935068,0.0012063676,0.0019532172,0.0015996291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011012811,0.00013490167,0.00022347944,0.001240148,0.00034491566,0.0010230059,0.00032159901,0.00034167254,0.008157669],"category_scores_gemma":[0.0060066013,0.00014169412,0.00022610686,0.002076134,0.0005163761,0.000655274,0.00090863777,0.0005203895,0.0013050429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000212208,0.000051152125,0.97778416,0.00014074128,0.00006504916,0.00036011252,0.001191213,0.00035331404,0.00090555416,0.0013386944,0.0033037367,0.014294046],"study_design_scores_gemma":[0.0000055196274,0.000037157584,0.9968375,0.000029839708,0.000013464838,0.00007476084,0.00067021034,0.000065500935,0.00013108316,0.000035379613,0.0020937254,0.0000058431256],"about_ca_topic_score_codex":0.10072677,"about_ca_topic_score_gemma":0.17758627,"teacher_disagreement_score":0.10072677,"about_ca_system_score_codex":0.00069955114,"about_ca_system_score_gemma":0.00043022825,"threshold_uncertainty_score":0.20028096},"labels":[],"label_agreement":null},{"id":"W3123398535","doi":"10.1111/j.1540-5982.2010.01583.x","title":"Foreign acquisition, plant survival, and employment growth","year":2010,"lang":"en","type":"preprint","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Endogeneity; Propensity score matching; Matching (statistics); Business; Horizontal and vertical; Economics; Labour economics; Demographic economics; Econometrics; Geography; Statistics; Mathematics","score_opus":0.13141560630937568,"score_gpt":0.18485057408267852,"score_spread":0.05343496777330284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123398535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979838,0.0002785504,0.00023624535,0.000091044654,0.000003666672,0.000002105239,0.00043468396,0.000007704817,0.0009621163],"genre_scores_gemma":[0.99866784,0.00010825,0.00004440648,0.000007541923,0.000006884054,0.0000014488559,0.00045277464,0.0000017731178,0.0007090717],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967945,0.00008564494,0.00001825924,0.00006790409,0.00006554956,0.000083214734],"domain_scores_gemma":[0.99134994,0.0038026772,0.0034290664,0.00028895176,0.00038171763,0.0007476185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074825535,0.00019303712,0.00029969777,0.00077164976,0.00021411016,0.00080145214,0.00020304309,0.0003734003,0.0041991463],"category_scores_gemma":[0.0037640363,0.00008239645,0.00028177578,0.00081137905,0.0003484911,0.0004087817,0.0005913991,0.00051969854,0.00057490205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014724072,0.000073556876,0.98899627,0.00002245612,0.00008895971,0.00016223393,0.00009457573,0.002463308,0.0005228066,0.0003906884,0.00032127317,0.006716613],"study_design_scores_gemma":[0.000005261935,0.000104012935,0.99495304,0.000018028633,0.000034392328,0.00012320171,0.00026463263,0.0027165567,0.00042786307,0.0004346163,0.0009118127,0.0000065460736],"about_ca_topic_score_codex":0.006383915,"about_ca_topic_score_gemma":0.0067355945,"teacher_disagreement_score":0.006383915,"about_ca_system_score_codex":0.00034959937,"about_ca_system_score_gemma":0.00024948502,"threshold_uncertainty_score":0.014047563},"labels":[],"label_agreement":null},{"id":"W3123531807","doi":"","title":"Les obstacles à l'innovation dans les industries de services au Canada","year":2000,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Complementarity (molecular biology); Welfare economics; Political science; Economy; Humanities; Economics","score_opus":0.051669589044516025,"score_gpt":0.2796139270164945,"score_spread":0.2279443379719785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123531807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92030764,0.0040744916,0.0028326858,0.011501101,0.00002753712,0.00007806586,0.0016320574,0.000042339085,0.059504047],"genre_scores_gemma":[0.9871417,0.003564374,0.0010554111,0.00035284308,0.00001233585,0.000028650493,0.0003217293,0.000012532765,0.007510325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99528223,0.00046378607,0.00014254812,0.0003006314,0.002259666,0.0015511564],"domain_scores_gemma":[0.98482394,0.007216857,0.0019330464,0.00026645404,0.004259355,0.0015004057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002700855,0.00028561841,0.00053516374,0.0032703965,0.0058765844,0.00641876,0.000713525,0.0009300098,0.006067449],"category_scores_gemma":[0.016481278,0.00026001583,0.00054646085,0.009077275,0.002624551,0.0017377249,0.001832901,0.0014087169,0.00031280544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037166092,0.00019694574,0.59990877,0.0011153788,0.00016175768,0.0012524879,0.041747328,0.020757172,0.0015113162,0.1616997,0.012326936,0.15895063],"study_design_scores_gemma":[0.0000350384,0.000095320305,0.82727957,0.0009546911,0.00018381461,0.00021814228,0.05012162,0.011002064,0.0016153319,0.016866257,0.091483764,0.00014428188],"about_ca_topic_score_codex":0.98396516,"about_ca_topic_score_gemma":0.99107563,"teacher_disagreement_score":0.061723508,"about_ca_system_score_codex":0.061723508,"about_ca_system_score_gemma":0.10101351,"threshold_uncertainty_score":0.44783747},"labels":[],"label_agreement":null},{"id":"W3123551409","doi":"10.1016/j.jedc.2010.01.007","title":"Age effects, leverage and firm growth","year":2010,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Leverage (statistics); Economics; Monetary economics; Financial economics","score_opus":0.005356035666422842,"score_gpt":0.1852415935228788,"score_spread":0.17988555785645596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123551409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907808,0.0036289599,0.00074210955,0.0009120233,0.000028672206,0.000006107559,0.00021487141,0.000012194174,0.0036743202],"genre_scores_gemma":[0.99795425,0.00060583174,0.00004132487,0.00003246371,0.0000567078,0.0000015345503,0.00005695739,0.0000019868444,0.0012488705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997451,0.00008580917,0.000022031083,0.00003368167,0.000033125918,0.00008025618],"domain_scores_gemma":[0.98384386,0.009911503,0.0038585935,0.00051902304,0.00031947688,0.0015474957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016121184,0.00024205091,0.0003016505,0.0007673567,0.0002778929,0.0014514523,0.00024798643,0.0010772444,0.006337624],"category_scores_gemma":[0.008193221,0.00016889784,0.00033166228,0.0008636173,0.0006527537,0.0015524641,0.00064625597,0.00097194134,0.00047750465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040085247,0.00021515856,0.9754279,0.000026560872,0.00019095343,0.00041293487,0.00027200018,0.0024315147,0.00040619826,0.005465469,0.0008852616,0.013865131],"study_design_scores_gemma":[0.00003572083,0.00020173141,0.9785508,0.000029336841,0.0002477652,0.00036071255,0.00040379944,0.0052570533,0.00034165423,0.0127133615,0.0018381373,0.000019909054],"about_ca_topic_score_codex":0.0041806237,"about_ca_topic_score_gemma":0.0062396796,"teacher_disagreement_score":0.006337624,"about_ca_system_score_codex":0.00028294386,"about_ca_system_score_gemma":0.00030236915,"threshold_uncertainty_score":0.021201432},"labels":[],"label_agreement":null},{"id":"W3123568100","doi":"10.1016/j.jedc.2018.09.005","title":"Firing costs, misallocation, and aggregate productivity","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Total factor productivity; Economics; Productivity; Aggregate (composite); General equilibrium theory; Econometrics; Microeconomics; Macroeconomics","score_opus":0.009273936055637462,"score_gpt":0.20461838129066623,"score_spread":0.19534444523502878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123568100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989019,0.00038264546,0.006730239,0.00040740595,0.000018388659,0.0000081565195,0.00011598938,0.000018645385,0.003299538],"genre_scores_gemma":[0.9984962,0.00011578029,0.00036291062,0.000013738914,0.000020599233,0.0000030285569,0.00003083989,0.0000038226026,0.0009530991],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991553,0.00020011679,0.000105683685,0.00012603408,0.00017336049,0.00023966152],"domain_scores_gemma":[0.97795314,0.013148217,0.004786012,0.0020316974,0.0009586536,0.0011222635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028567174,0.00025904312,0.0008170915,0.0009967749,0.00044326365,0.0031358388,0.000670058,0.0012104113,0.006662544],"category_scores_gemma":[0.023961188,0.00038900986,0.00049526466,0.0013629211,0.0011048412,0.0031116682,0.0012621832,0.0009296773,0.00038201685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025021962,0.0007094422,0.5108876,0.00022660823,0.0005842292,0.00072026456,0.0010856882,0.2359316,0.0059132054,0.16013426,0.0020187167,0.079286136],"study_design_scores_gemma":[0.0001980447,0.00025804905,0.37942538,0.00006544182,0.0003523394,0.00047816106,0.0016154945,0.1908718,0.0026375279,0.42229983,0.001670571,0.00012731011],"about_ca_topic_score_codex":0.0038032113,"about_ca_topic_score_gemma":0.0041538645,"teacher_disagreement_score":0.006662544,"about_ca_system_score_codex":0.0013444518,"about_ca_system_score_gemma":0.000837072,"threshold_uncertainty_score":0.022288442},"labels":[],"label_agreement":null},{"id":"W3123625863","doi":"","title":"The Importance of Entry to Canadian Manufacturing with an Appendix on Measurement Issues","year":2002,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comparability; International comparisons; Entry Level; Data entry; Database; Computer science; Economics; Sociology; Economic growth; Mathematics","score_opus":0.19491433484782805,"score_gpt":0.33624330004612973,"score_spread":0.14132896519830168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123625863","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07525946,0.044726763,0.04352639,0.04754704,0.0065116724,0.002735193,0.18321292,0.0010139312,0.5954667],"genre_scores_gemma":[0.5101729,0.0477982,0.14163475,0.008031318,0.001975718,0.002078795,0.06718863,0.0005092869,0.22061038],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.995231,0.0005964379,0.0004646241,0.00032611858,0.002759219,0.00062260206],"domain_scores_gemma":[0.9794811,0.008460456,0.0012037704,0.0006568666,0.009819773,0.0003781219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002417451,0.00070278364,0.00075721496,0.0075609544,0.0037355162,0.003807497,0.0014601835,0.0011928611,0.035823945],"category_scores_gemma":[0.021068096,0.00041367006,0.0013636071,0.022103816,0.0011594716,0.0016896946,0.0012511273,0.0014523511,0.0031219518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001594065,0.00016720702,0.04015784,0.0027637118,0.00006215099,0.00091328047,0.0031598525,0.004370338,0.0014800123,0.2077223,0.5131482,0.22589578],"study_design_scores_gemma":[0.00003445756,0.00012185677,0.21143651,0.0012477633,0.0001009396,0.00048506903,0.0023943852,0.003679759,0.0030440134,0.020190991,0.75698256,0.00028176128],"about_ca_topic_score_codex":0.895812,"about_ca_topic_score_gemma":0.9255007,"teacher_disagreement_score":0.9761655,"about_ca_system_score_codex":0.023834545,"about_ca_system_score_gemma":0.025800744,"threshold_uncertainty_score":0.20960319},"labels":[],"label_agreement":null},{"id":"W3123664073","doi":"","title":"A New Venture's Optimal Entry Time","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rivalry; Profit (economics); Volatility (finance); Industrial organization; Business; Microeconomics; Economics; Barriers to entry; Market structure; Finance","score_opus":0.011686019038202461,"score_gpt":0.18368183392620496,"score_spread":0.1719958148880025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123664073","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69740653,0.0022618293,0.14096932,0.0031974658,0.00021928601,0.00046503163,0.0012052206,0.00047104864,0.15380421],"genre_scores_gemma":[0.9583917,0.00094906375,0.015019278,0.000076939185,0.00006316978,0.0001049596,0.00033063546,0.00005744076,0.025006725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991842,0.00015067011,0.00004916348,0.00020505482,0.00016431473,0.00024661742],"domain_scores_gemma":[0.99680233,0.0013756729,0.00045404845,0.00015440761,0.00023473793,0.0009788086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013325657,0.0003376258,0.00068449904,0.0008571849,0.00064868847,0.0038349493,0.0005703081,0.0013893149,0.020204816],"category_scores_gemma":[0.007193229,0.00035223356,0.000608636,0.00049102935,0.00062522636,0.0039584744,0.0011565314,0.0011950327,0.0017649469],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012036486,0.0007621795,0.026898392,0.0005096734,0.00009170216,0.0013670985,0.00088713056,0.12760372,0.012150196,0.60281587,0.011750362,0.21396005],"study_design_scores_gemma":[0.000569989,0.0015471772,0.03562562,0.00043909825,0.00014677893,0.0028767711,0.0025834225,0.39076972,0.008248933,0.5245177,0.032448936,0.0002258375],"about_ca_topic_score_codex":0.0012145899,"about_ca_topic_score_gemma":0.0017183233,"teacher_disagreement_score":0.020204816,"about_ca_system_score_codex":0.0010180828,"about_ca_system_score_gemma":0.0022949718,"threshold_uncertainty_score":0.067591846},"labels":[],"label_agreement":null},{"id":"W3123795649","doi":"","title":"The Internationalization of Internet-Enabled Entrepreneurial Firms: Evidence from Europe and North America","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Internationalization; The Internet; Pace; Business; Extant taxon; International business; Marketing; Empirical evidence; Order (exchange); Sample (material); Scale (ratio); Industrial organization; Economic geography; International trade; Economics; Management; Finance; Geography","score_opus":0.015475930647160139,"score_gpt":0.20749015777358698,"score_spread":0.19201422712642685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123795649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982287,0.00319155,0.0000868207,0.00048508588,0.000012194022,0.000008860923,0.00013736905,0.0000022268614,0.01378887],"genre_scores_gemma":[0.99464214,0.0041015213,0.000079383375,0.000206367,0.000015963184,0.0000066190582,0.00027551665,0.0000024466824,0.00067002187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993907,0.00014640564,0.00005729534,0.000114683666,0.00012664046,0.0001642871],"domain_scores_gemma":[0.9928599,0.0024273933,0.0029234958,0.00027805846,0.00086270075,0.000648477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013787479,0.00013801476,0.00023496214,0.0023578855,0.0007566362,0.0024340798,0.00032338809,0.00043194144,0.0016636796],"category_scores_gemma":[0.003832092,0.00014577943,0.00022245242,0.0042128707,0.0011587196,0.0016811994,0.0014834802,0.0005254999,0.00015235186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003624983,0.00035584296,0.9140535,0.00038198134,0.00013849456,0.00088858145,0.018977711,0.0002444881,0.00048315938,0.0049361656,0.002449056,0.056728497],"study_design_scores_gemma":[0.000013087366,0.000044302455,0.9737126,0.00024554788,0.00004961431,0.00026822728,0.018151807,0.0000766241,0.00019229468,0.000357275,0.0068798554,0.000008831798],"about_ca_topic_score_codex":0.019275837,"about_ca_topic_score_gemma":0.036475804,"teacher_disagreement_score":0.019275837,"about_ca_system_score_codex":0.0005985581,"about_ca_system_score_gemma":0.0007459238,"threshold_uncertainty_score":0.038327277},"labels":[],"label_agreement":null},{"id":"W3123812305","doi":"","title":"Innovation Capabilities: Science and Engineering Employment in Canada and the United States","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Earnings; Science and engineering; Engineering; Business; Engineering ethics; Economic growth; Economics; Finance","score_opus":0.02639058039788254,"score_gpt":0.24736079447371515,"score_spread":0.22097021407583262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123812305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96663094,0.0027580915,0.00009904148,0.0018682667,0.000037249167,0.000025811343,0.007541422,0.000021287608,0.021017972],"genre_scores_gemma":[0.98968494,0.0015773394,0.000100395264,0.00016931954,0.000011287306,0.000009362415,0.0026361824,0.000006861353,0.005804324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854195,0.000039521892,0.000038714807,0.000094929965,0.00067661377,0.00060829124],"domain_scores_gemma":[0.99720484,0.00023412476,0.00039874148,0.00004160537,0.0010903056,0.00103037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006736121,0.00023518469,0.0003743157,0.005151239,0.0030946056,0.0023222,0.0009127342,0.00047832803,0.003030597],"category_scores_gemma":[0.003035042,0.00017444119,0.00032838288,0.011036624,0.0008036424,0.0006180312,0.0012324796,0.000583823,0.00028832152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020143791,0.00009227258,0.89918756,0.00015345516,0.000097648044,0.00049698,0.007532276,0.0016052504,0.00040701276,0.006931607,0.016416801,0.06687777],"study_design_scores_gemma":[0.000011985024,0.000017007824,0.9766798,0.00010108504,0.000024638575,0.00006542669,0.007180448,0.0007122154,0.00017039932,0.00025394434,0.014761106,0.00002190903],"about_ca_topic_score_codex":0.99434435,"about_ca_topic_score_gemma":0.9969015,"teacher_disagreement_score":0.972818,"about_ca_system_score_codex":0.027181977,"about_ca_system_score_gemma":0.045259688,"threshold_uncertainty_score":0.19721997},"labels":[],"label_agreement":null},{"id":"W3123981798","doi":"","title":"Determinants of Innovative Activity in Canadian Manufacturing Firms: The Role of Intellectual Property Rights","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Competition (biology); Business; Industrial organization; Manufacturing sector; Marketing; International trade; Economics; International economics","score_opus":0.03585608651893072,"score_gpt":0.27388960529723616,"score_spread":0.23803351877830545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123981798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791479,0.0015074639,0.0003484701,0.0024561838,0.000015435,0.0000354683,0.0009900855,0.00001467528,0.015484302],"genre_scores_gemma":[0.9978467,0.00042854328,0.00012027629,0.000046412228,0.0000072373296,0.0000041752005,0.00028139903,0.000002078709,0.0012631249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985556,0.00008369317,0.00004625874,0.0001108488,0.0006511722,0.00055241975],"domain_scores_gemma":[0.99126655,0.0021413087,0.0022068943,0.0002528404,0.0022949649,0.0018374036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014327364,0.0002445173,0.00035691296,0.0029034242,0.0021920737,0.0023627416,0.001014298,0.0007208782,0.0040238043],"category_scores_gemma":[0.008709005,0.00012834663,0.00063608453,0.004578556,0.0014990411,0.0007909087,0.0009836649,0.00092864677,0.00020609777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008715835,0.0000863679,0.9639661,0.000074994234,0.00006982736,0.0002697493,0.0012291842,0.0022876675,0.00047378475,0.006792996,0.0018538758,0.022808338],"study_design_scores_gemma":[0.000007749469,0.00001958432,0.99211484,0.000038291906,0.000037753045,0.00005109804,0.0011867202,0.0017567951,0.00020803162,0.00058512524,0.003976619,0.000017344279],"about_ca_topic_score_codex":0.9753583,"about_ca_topic_score_gemma":0.9826155,"teacher_disagreement_score":0.02488842,"about_ca_system_score_codex":0.02488842,"about_ca_system_score_gemma":0.02814863,"threshold_uncertainty_score":0.18057895},"labels":[],"label_agreement":null},{"id":"W3124010513","doi":"","title":"Firm Dynamics: Employment Dynamics Arising from Firm Growth and Contraction in Canada, 2001 to 2009","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Business cycle; Great recession; Dynamics (music); Labour economics; Economics; Turnover; Job creation; Business; Demographic economics; Macroeconomics; Management","score_opus":0.03404204659801658,"score_gpt":0.27083839360578854,"score_spread":0.23679634700777197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124010513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967001,0.0013611398,0.00024364384,0.0014412922,0.000023329136,0.000023297785,0.021206629,0.000041411015,0.008658311],"genre_scores_gemma":[0.98344857,0.00072449195,0.00021901853,0.00009607218,0.0000135275295,0.000010132424,0.010211126,0.00001151088,0.0052655865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931836,0.000024276691,0.000021352165,0.00008477076,0.00025426826,0.00029700305],"domain_scores_gemma":[0.9972185,0.00026072844,0.00047684094,0.00007504418,0.0014812887,0.00048752822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064928626,0.000261916,0.0003439242,0.002625305,0.0019412532,0.0020554105,0.00095562905,0.00060394645,0.0026477543],"category_scores_gemma":[0.0042489585,0.00020246409,0.00034106476,0.0062439893,0.0005603854,0.00061675726,0.000889534,0.0007727407,0.00041189935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041634263,0.00010523047,0.9108,0.00013427874,0.00011432664,0.00044635852,0.0023349128,0.0116314115,0.0007757814,0.004532567,0.022236729,0.04647196],"study_design_scores_gemma":[0.000006942285,0.000013041836,0.9831525,0.00002939721,0.000020974985,0.000046865633,0.0016780732,0.0064556752,0.00016201312,0.00015630387,0.008257107,0.000021040274],"about_ca_topic_score_codex":0.99368817,"about_ca_topic_score_gemma":0.9960634,"teacher_disagreement_score":0.03211994,"about_ca_system_score_codex":0.03211994,"about_ca_system_score_gemma":0.021189855,"threshold_uncertainty_score":0.2330476},"labels":[],"label_agreement":null},{"id":"W3124013065","doi":"","title":"Changements observes au niveau de la diversification des entreprises du secteur canadien de la fabrication (de 1973 a 1997)","year":2002,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.14775845542309318,"score_gpt":0.33079918847488254,"score_spread":0.18304073305178936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124013065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98771834,0.0012577515,0.000312792,0.00011510937,0.0000068874406,0.000011619892,0.0021366363,0.000010070795,0.008430795],"genre_scores_gemma":[0.97901505,0.0013656019,0.0004960992,0.000057948313,0.000019982523,0.000026474234,0.00299921,0.000006535956,0.01601321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995179,0.000053233536,0.000018504283,0.000097374534,0.00017438731,0.00013860145],"domain_scores_gemma":[0.99539787,0.00095083966,0.0016290516,0.00018730375,0.0014010008,0.0004339078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089707645,0.00029696728,0.00024000634,0.002909665,0.0007485592,0.0010527435,0.0003180423,0.0004630176,0.0039823665],"category_scores_gemma":[0.0024937345,0.00014459493,0.00034418333,0.0042546922,0.0005286416,0.0005328483,0.0006603071,0.00045913496,0.00084842794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026061866,0.00004619646,0.9309597,0.00010143348,0.00008734619,0.00036742396,0.006436342,0.0008629233,0.0047369218,0.0016079457,0.0013480849,0.053185146],"study_design_scores_gemma":[0.0000010601624,0.000028961982,0.99162227,0.000012647486,0.0000069270454,0.00005597004,0.0010375483,0.000059339196,0.000696152,0.000067085886,0.006407182,0.000004879999],"about_ca_topic_score_codex":0.10001848,"about_ca_topic_score_gemma":0.1779226,"teacher_disagreement_score":0.8999815,"about_ca_system_score_codex":0.0028329163,"about_ca_system_score_gemma":0.0011890125,"threshold_uncertainty_score":0.19887263},"labels":[],"label_agreement":null},{"id":"W3124018439","doi":"","title":"Growth Paths and Survival Chances: An Application of Gambler's Ruin Theory","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); Random walk; Economics; Econometrics; Mathematics; Statistics; Geography","score_opus":0.04229029296467401,"score_gpt":0.29388275180652834,"score_spread":0.2515924588418543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124018439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36391363,0.0048499387,0.5943154,0.0062991157,0.00023593123,0.00020594151,0.0005249595,0.00040971866,0.029245367],"genre_scores_gemma":[0.96932083,0.002160372,0.019969655,0.0002711055,0.00023481835,0.00023250266,0.00020593368,0.00009472872,0.0075101214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790657,0.0011651391,0.00006673278,0.00035129202,0.00022550985,0.00028470112],"domain_scores_gemma":[0.94988734,0.04161594,0.0046139364,0.0012808968,0.0010781549,0.0015237844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009194089,0.0010274383,0.001554731,0.004160191,0.0014882697,0.0031433874,0.0019394369,0.0022600633,0.011400456],"category_scores_gemma":[0.04608103,0.0006162458,0.0014461675,0.002563809,0.0060168677,0.0063999933,0.0033414694,0.0035667687,0.0009037103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011483697,0.00009277565,0.02634727,0.0001190157,0.00009891054,0.0003281251,0.0014204973,0.061231967,0.00023069482,0.8832865,0.0018148212,0.024914652],"study_design_scores_gemma":[0.00003358566,0.00008965892,0.00457442,0.00007480004,0.00004540414,0.00026307604,0.00033381468,0.18250942,0.00010985083,0.8092853,0.0026155268,0.00006509415],"about_ca_topic_score_codex":0.0037197783,"about_ca_topic_score_gemma":0.0021617017,"teacher_disagreement_score":0.011400456,"about_ca_system_score_codex":0.0017852596,"about_ca_system_score_gemma":0.000907299,"threshold_uncertainty_score":0.04862356},"labels":[],"label_agreement":null},{"id":"W3124057930","doi":"","title":"Économies d’échelle et de gamme dans les coopératives de services financiers: une approche non paramétrique (DEA)","year":2009,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.03913363988076881,"score_gpt":0.3017034473107317,"score_spread":0.2625698074299629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124057930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08542237,0.0015094668,0.8995402,0.0011525168,0.00005993274,0.00022830066,0.00076206616,0.00017226317,0.0111527685],"genre_scores_gemma":[0.797308,0.0016011073,0.1867168,0.00018116685,0.00008372306,0.0006264856,0.00063734554,0.00009561008,0.012749646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.995545,0.002406805,0.00018544744,0.0011493032,0.00045282862,0.0002604086],"domain_scores_gemma":[0.9904323,0.006936476,0.0010947909,0.00081351516,0.00056879857,0.00015410347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007137107,0.0013523734,0.0017824,0.0020771094,0.0008496997,0.0050910604,0.0023577744,0.0025785952,0.0069176913],"category_scores_gemma":[0.018723212,0.0013938181,0.003139903,0.00281055,0.0013814357,0.004513129,0.0025215165,0.0029793214,0.0008532225],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012413689,0.000073605086,0.014292375,0.00022170943,0.0004370123,0.0002132415,0.00047951247,0.85414034,0.0006703114,0.098306745,0.0007473615,0.03029354],"study_design_scores_gemma":[0.000029074738,0.00008901096,0.004509093,0.000117945885,0.0001595082,0.00012937721,0.00029575962,0.9187521,0.00049158745,0.06854238,0.0068285544,0.00005563039],"about_ca_topic_score_codex":0.018002598,"about_ca_topic_score_gemma":0.010420525,"teacher_disagreement_score":0.018002598,"about_ca_system_score_codex":0.0029242518,"about_ca_system_score_gemma":0.0014368055,"threshold_uncertainty_score":0.03774506},"labels":[],"label_agreement":null},{"id":"W3124079561","doi":"","title":"The Financial Performance of Global Information and Communication Technology Companies","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Finance; Financial system; Accounting; Industrial organization","score_opus":0.007820568886565996,"score_gpt":0.19830441298396137,"score_spread":0.19048384409739538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124079561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955165,0.00045287368,0.000057714224,0.0002478862,0.00000910892,0.0000043595132,0.001849066,0.00000771123,0.0018547176],"genre_scores_gemma":[0.99676174,0.0002815559,0.000032855325,0.000051936677,0.00002176956,0.0000031115649,0.0023795518,0.0000014634602,0.00046612538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963033,0.000053096133,0.00004115915,0.00006215861,0.00009785507,0.00011547862],"domain_scores_gemma":[0.9948862,0.0005224015,0.00349107,0.00011411506,0.0005048754,0.00048127788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214325,0.00025715277,0.00020409492,0.0024198028,0.00021528252,0.0012433479,0.00022392585,0.00052621745,0.001433582],"category_scores_gemma":[0.0030526938,0.000099728306,0.00022046106,0.002872091,0.00031522915,0.0010406947,0.00077364105,0.00039006618,0.00060498493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022042368,0.000025827738,0.9954496,0.000008488451,0.00003640621,0.000055210683,0.00008648317,0.00018345611,0.000083675564,0.00007896717,0.0005442509,0.00342558],"study_design_scores_gemma":[9.127742e-7,0.000029856292,0.99900407,0.000005605141,0.000009545729,0.000060783117,0.00012921944,0.00013944771,0.000079871235,0.000026795184,0.00051061023,0.0000033252904],"about_ca_topic_score_codex":0.005360034,"about_ca_topic_score_gemma":0.006564682,"teacher_disagreement_score":0.005360034,"about_ca_system_score_codex":0.00042247845,"about_ca_system_score_gemma":0.00021761829,"threshold_uncertainty_score":0.010657668},"labels":[],"label_agreement":null},{"id":"W3124092544","doi":"","title":"IT Capability and a Firm’s Ability to Recover from Losses: Evidence from the Economic Downturn of the Early 2000s","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competitor analysis; Sustainability; Recession; Business; Industrial organization; Earnings; Economics; Marketing; Accounting; Macroeconomics","score_opus":0.023348758730838953,"score_gpt":0.2302651592176296,"score_spread":0.20691640048679066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124092544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741447,0.00052247813,0.000040958592,0.000336191,0.0000068504382,0.0000055700525,0.0002783631,0.0000031226366,0.0013918194],"genre_scores_gemma":[0.99903655,0.00031750943,0.000014391192,0.00003732827,0.00001323818,0.0000024278309,0.00044925543,0.0000011963901,0.00012815335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940944,0.00006393194,0.000069992864,0.00006542907,0.00014713948,0.00024411651],"domain_scores_gemma":[0.9764474,0.0025129456,0.015749047,0.0006420838,0.0019114346,0.002737147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016951002,0.00026941724,0.00031924955,0.00245838,0.00064260437,0.0015511505,0.0004901014,0.0006235437,0.0013373309],"category_scores_gemma":[0.009748442,0.00015056497,0.00031423417,0.0027893162,0.00097326,0.0013078015,0.0017852724,0.0013575268,0.00030776448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021719547,0.00013146726,0.9889348,0.000030352425,0.000049251208,0.0001874225,0.0005619844,0.0004934837,0.00016513956,0.00032510667,0.0009886541,0.007915137],"study_design_scores_gemma":[0.0000050232284,0.000059246966,0.9983146,0.000019593797,0.000010043797,0.00003457203,0.0006775783,0.00020784883,0.0000755624,0.000099021294,0.0004917286,0.0000050879885],"about_ca_topic_score_codex":0.023483604,"about_ca_topic_score_gemma":0.021696603,"teacher_disagreement_score":0.023483604,"about_ca_system_score_codex":0.000981127,"about_ca_system_score_gemma":0.0005381023,"threshold_uncertainty_score":0.046693802},"labels":[],"label_agreement":null},{"id":"W3124157774","doi":"","title":"Innovation, Productivity, and Training","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Productivity; Stock (firearms); Business; Training (meteorology); Product innovation; Labour economics; Longitudinal data; Job training; Panel data; Industrial organization; Economics; Vocational education; Engineering; Econometrics; Economic growth; Computer science","score_opus":0.0861102162544297,"score_gpt":0.3074628257187649,"score_spread":0.22135260946433516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124157774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96011066,0.005093031,0.0028753132,0.0027491853,0.00006948602,0.000052057323,0.002715075,0.00011315973,0.026222004],"genre_scores_gemma":[0.99457437,0.0008531112,0.00021667282,0.00008968038,0.00004130295,0.000011591595,0.00061047834,0.0000053546546,0.0035975962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898654,0.00013040003,0.000048041537,0.0001444362,0.00027895474,0.000411672],"domain_scores_gemma":[0.98686606,0.0057396377,0.0038733394,0.0005477811,0.0009584541,0.0020148188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017151558,0.00030436536,0.0004719689,0.0016828344,0.0005916638,0.0020465176,0.0005341883,0.0009944774,0.005759534],"category_scores_gemma":[0.013145146,0.00011817112,0.00051570154,0.0029707684,0.0013788333,0.0007193681,0.0009833064,0.0010734694,0.00060886866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023337458,0.00031250837,0.8907484,0.00018730888,0.0003359139,0.0002866806,0.0006027337,0.019122075,0.00055753114,0.01340504,0.004236905,0.06997148],"study_design_scores_gemma":[0.000026268974,0.0000870883,0.98087627,0.00008938459,0.00010767475,0.00006499247,0.00035449117,0.004660583,0.0003427282,0.007632932,0.0057364055,0.000021073842],"about_ca_topic_score_codex":0.24504283,"about_ca_topic_score_gemma":0.19122572,"teacher_disagreement_score":0.24504283,"about_ca_system_score_codex":0.0056363526,"about_ca_system_score_gemma":0.0037928591,"threshold_uncertainty_score":0.48723304},"labels":[],"label_agreement":null},{"id":"W3124165992","doi":"","title":"Are There Contagion Effects in IT and Business Process Outsourcing","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Outsourcing; Diffusion; Industrial organization; Business; Gompertz function; Log-normal distribution; Knowledge process outsourcing; Consistency (knowledge bases); Econometrics; Process (computing); Economics; Microeconomics; Monetary economics; Marketing; Statistics; Computer science; Mathematics","score_opus":0.009806775009072509,"score_gpt":0.2153650367741334,"score_spread":0.2055582617650609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124165992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88567734,0.0015721597,0.09311421,0.0056113484,0.000072236755,0.0001557323,0.0002206603,0.00015625298,0.013420048],"genre_scores_gemma":[0.9926662,0.0007563456,0.0029463111,0.00008768011,0.000046589164,0.000059831942,0.000072657625,0.000016850145,0.003347447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99880195,0.00046361017,0.000068162655,0.0002373753,0.00014016566,0.0002887795],"domain_scores_gemma":[0.9825737,0.012179374,0.003375911,0.0005145843,0.00066588406,0.0006906385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033367248,0.0008328493,0.0010170925,0.0016301654,0.0008231308,0.0029283229,0.0012865523,0.0031083624,0.0046103857],"category_scores_gemma":[0.019244587,0.0008342786,0.0016408672,0.0011124718,0.0022248568,0.0047751223,0.0022653986,0.0019598894,0.0005256372],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049299677,0.00048359437,0.12845975,0.00025072662,0.0005525044,0.0013326707,0.0034065032,0.5733887,0.0032628647,0.2555551,0.0016800587,0.031134497],"study_design_scores_gemma":[0.00010265087,0.00016735836,0.015024905,0.00006692066,0.00024494555,0.00019906298,0.00066422933,0.91057336,0.0007063745,0.069925815,0.002235022,0.00008937789],"about_ca_topic_score_codex":0.024289157,"about_ca_topic_score_gemma":0.012844173,"teacher_disagreement_score":0.024289157,"about_ca_system_score_codex":0.0020904576,"about_ca_system_score_gemma":0.0010940598,"threshold_uncertainty_score":0.048295557},"labels":[],"label_agreement":null},{"id":"W3124206738","doi":"","title":"Assessing the Efficiency Costs of Vietnam's 'Missing' Small and Medium Sized Enterprises: A Panel Data Investigation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Equity (law); Panel data; Business; Missing data; Skew; Scale (ratio); Small and medium-sized enterprises; Distribution (mathematics); Industrial organization; Economics; Finance; Econometrics","score_opus":0.07213407737428694,"score_gpt":0.2850844569540338,"score_spread":0.21295037957974683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124206738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447894,0.000097735545,0.0025259184,0.00033465997,0.0000066155617,0.000032660093,0.001267871,0.000005630866,0.0012500079],"genre_scores_gemma":[0.99738187,0.000051614843,0.00058725773,0.000053864875,0.000010139749,0.00002123463,0.0012619592,0.0000028368408,0.0006292252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965243,0.0023151666,0.00015797817,0.0003588407,0.00033799087,0.00030574412],"domain_scores_gemma":[0.9259224,0.053885866,0.012668065,0.004492489,0.0019944427,0.0010367568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065773693,0.00016442988,0.00044197193,0.00048788873,0.00055991823,0.0012790565,0.0008101002,0.00054313923,0.0042133904],"category_scores_gemma":[0.025956996,0.00025562375,0.00040933836,0.0011859704,0.00049469824,0.0008683086,0.0009661967,0.0011822984,0.00022282156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003257804,0.00018548126,0.9682626,0.000063562846,0.0003087882,0.00046858296,0.0012219935,0.010034795,0.00030895846,0.0043875724,0.0011489155,0.01328288],"study_design_scores_gemma":[0.000044626904,0.00025967506,0.9552786,0.00005865576,0.00020675654,0.00035959837,0.004707761,0.030192567,0.00096156547,0.0042924318,0.0036001788,0.000037733575],"about_ca_topic_score_codex":0.020968307,"about_ca_topic_score_gemma":0.017681528,"teacher_disagreement_score":0.020968307,"about_ca_system_score_codex":0.000983835,"about_ca_system_score_gemma":0.00076510414,"threshold_uncertainty_score":0.041692555},"labels":[],"label_agreement":null},{"id":"W3124214184","doi":"10.1111/j.0741-6261.2008.00003.x","title":"Industry dynamics with stochastic demand","year":2008,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Productivity; Aggregate demand; Microeconomics; Welfare; Supply and demand; Demand shock; Distribution (mathematics); Aggregate (composite); Realization (probability); Demand management; Industrial organization; Econometrics; Monetary economics; Macroeconomics; Market economy","score_opus":0.03287581967217207,"score_gpt":0.19027241991833993,"score_spread":0.15739660024616786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124214184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7832116,0.0006722077,0.18159491,0.005148449,0.00007467101,0.000065873246,0.0013118281,0.00023005971,0.027690345],"genre_scores_gemma":[0.98564327,0.0005257673,0.0031693662,0.00017840184,0.000050729297,0.000051254792,0.00028920057,0.000020884847,0.010071073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946326,0.00016554976,0.000020140544,0.00010916196,0.00009085794,0.00015096812],"domain_scores_gemma":[0.9970835,0.001348851,0.0008464626,0.00018817915,0.00025321377,0.0002799415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007954782,0.00039116968,0.00075672375,0.00070070405,0.00052737835,0.0015348151,0.0007398486,0.0020309146,0.005488384],"category_scores_gemma":[0.0056277616,0.00044102123,0.0006781653,0.0007720889,0.0008744489,0.0020414898,0.0013905115,0.0013630347,0.0005938627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101185586,0.00010282627,0.009499344,0.00006389642,0.000079470265,0.00069312745,0.00028066206,0.70482683,0.0024681885,0.27184352,0.002708834,0.007332034],"study_design_scores_gemma":[0.000046451663,0.00006738905,0.0031084225,0.000013627725,0.000019942443,0.00016344718,0.0001743986,0.87969565,0.00024911526,0.114290275,0.0021379457,0.000033380427],"about_ca_topic_score_codex":0.010607747,"about_ca_topic_score_gemma":0.0066606575,"teacher_disagreement_score":0.010607747,"about_ca_system_score_codex":0.0010782233,"about_ca_system_score_gemma":0.0006023808,"threshold_uncertainty_score":0.021091998},"labels":[],"label_agreement":null},{"id":"W3124214341","doi":"10.2139/ssrn.1392292","title":"An Overview of the Kauffman Firm Survey: Results from the 2004-2007 Data","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Data science; Computer science","score_opus":0.10527232482111819,"score_gpt":0.2929636142392408,"score_spread":0.18769128941812258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124214341","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19056983,0.006084485,0.0029437845,0.0017066305,0.00013018143,0.00037778652,0.78777856,0.00047738658,0.009931356],"genre_scores_gemma":[0.1648695,0.0066586123,0.0056049647,0.000589056,0.00020374652,0.00063369935,0.8119804,0.00019337505,0.009266621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731606,0.00049533823,0.00045406917,0.0004337465,0.00092144014,0.00037945213],"domain_scores_gemma":[0.9887527,0.0031036423,0.0035578073,0.0010095591,0.0029102087,0.000666066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026768094,0.000552733,0.0005951923,0.016289849,0.0003762347,0.0013324958,0.0009389284,0.0006343839,0.004405127],"category_scores_gemma":[0.0099408,0.0003379361,0.0007847553,0.020029148,0.00022599955,0.001155957,0.0011343311,0.00059997657,0.0036251128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016878577,0.00016369797,0.6876446,0.0008358328,0.00029304303,0.00016284562,0.0004686156,0.0015801854,0.00052275206,0.0012985371,0.24484372,0.062017336],"study_design_scores_gemma":[0.0000137434845,0.00003936003,0.9208257,0.00015864529,0.000089992966,0.00015404448,0.0004073806,0.00031048624,0.00044482865,0.00017198727,0.077349536,0.00003426335],"about_ca_topic_score_codex":0.08983356,"about_ca_topic_score_gemma":0.14177011,"teacher_disagreement_score":0.08983356,"about_ca_system_score_codex":0.0017522374,"about_ca_system_score_gemma":0.0026190272,"threshold_uncertainty_score":0.17862135},"labels":[],"label_agreement":null},{"id":"W3124229911","doi":"10.26481/umamer.2001033","title":"How Innovative are Canadian Firms Compared to Some European Firms? A Comparative Look at Innovation Surveys","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Comparability; Revenue; Business; Marketing; Accounting","score_opus":0.11493350101600165,"score_gpt":0.3071298801041864,"score_spread":0.19219637908818477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124229911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9394515,0.0036530378,0.00033982468,0.0034371912,0.000059398004,0.000054919452,0.007364361,0.000041343956,0.045598377],"genre_scores_gemma":[0.9891459,0.0020339026,0.0002520636,0.0004006594,0.00001994007,0.00002203406,0.0025444871,0.000011650866,0.0055693914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960521,0.00032916,0.000166405,0.00037625682,0.0017541451,0.0013220932],"domain_scores_gemma":[0.98438317,0.0021069348,0.0024624132,0.00037146342,0.008664946,0.0020110628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032057667,0.00030361878,0.0003531991,0.009094808,0.003577524,0.0041939514,0.00082071143,0.0006130139,0.0044923085],"category_scores_gemma":[0.011943838,0.00017743475,0.000423294,0.021257887,0.0009681724,0.0013616547,0.001051079,0.00044048196,0.00045985266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026530193,0.000056781584,0.886115,0.00029909742,0.00016667628,0.00022527162,0.012618553,0.00052260444,0.00094694033,0.0051665236,0.01099719,0.082620084],"study_design_scores_gemma":[0.0000033830177,0.000023426337,0.97218376,0.000057598318,0.000027366259,0.00004309133,0.009615558,0.00014663639,0.00015193412,0.000061215345,0.017656513,0.00002956448],"about_ca_topic_score_codex":0.98051894,"about_ca_topic_score_gemma":0.98825604,"teacher_disagreement_score":0.030955698,"about_ca_system_score_codex":0.030955698,"about_ca_system_score_gemma":0.031033061,"threshold_uncertainty_score":0.22460037},"labels":[],"label_agreement":null},{"id":"W3124271362","doi":"","title":"Relative Multifactor Productivity Levels in Canada and the United States: A Sectoral Analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Capital intensity; Goods and services; Economics; Capital (architecture); Asset (computer security); Sectoral analysis; Labour economics; Demographic economics; Business; Human capital; Agricultural economics; Geography; Total factor productivity; Economy; Economic growth; Macroeconomics","score_opus":0.053719244018527734,"score_gpt":0.20822909827909475,"score_spread":0.15450985426056701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124271362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96900517,0.0020734298,0.00063985446,0.00043342658,0.000017071361,0.000037140497,0.014725272,0.000085307256,0.012983196],"genre_scores_gemma":[0.9904635,0.00082772016,0.000733367,0.0000367334,0.0000053468875,0.00001140691,0.0058577727,0.000013381983,0.0020507842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882036,0.0000651424,0.000042285927,0.00011253644,0.0005309082,0.00042870996],"domain_scores_gemma":[0.99655724,0.0003188955,0.00039868974,0.000090483845,0.0021621003,0.00047258893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008084117,0.00032769205,0.0004420528,0.0057734656,0.0013667009,0.0019597597,0.00070435565,0.00025477118,0.0022096909],"category_scores_gemma":[0.003305123,0.00020745322,0.000581712,0.015095177,0.00044756898,0.0004341638,0.00085444126,0.00050044415,0.00020873337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028201248,0.00004888529,0.9318385,0.00014838511,0.00029117076,0.00037765485,0.001929035,0.0055272183,0.0010102125,0.0062208907,0.006735094,0.04559088],"study_design_scores_gemma":[0.0000059073127,0.000013978535,0.98985183,0.000035865163,0.000045730198,0.000052099072,0.0014766058,0.0023848508,0.00034210688,0.00023031338,0.005539754,0.000020956866],"about_ca_topic_score_codex":0.99277025,"about_ca_topic_score_gemma":0.9921475,"teacher_disagreement_score":0.038653605,"about_ca_system_score_codex":0.038653605,"about_ca_system_score_gemma":0.027408801,"threshold_uncertainty_score":0.28045285},"labels":[],"label_agreement":null},{"id":"W3124288869","doi":"","title":"Agglomeration and Clustering Over the Industry Life Cycle: Toward a Dynamic Model of Geographic Concentration","year":2013,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Economies of agglomeration; Externality; Economic geography; Business cluster; Cluster (spacecraft); Economics; Cluster analysis; Industrial organization; Microeconomics; Statistics","score_opus":0.025329417447810938,"score_gpt":0.21392618543236674,"score_spread":0.1885967679845558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124288869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.649205,0.0023195404,0.29685718,0.012538678,0.0000858747,0.00023755898,0.0017845901,0.00035622294,0.036615275],"genre_scores_gemma":[0.98280257,0.0013693909,0.0075356774,0.00017325413,0.000049752543,0.00009472037,0.00030950137,0.000051860126,0.007613203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995815,0.00013523185,0.000013437572,0.00011518416,0.000051074167,0.000103500926],"domain_scores_gemma":[0.99835134,0.00056437106,0.0005067928,0.00013858208,0.00020779978,0.00023113706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536264,0.00044845068,0.0007735301,0.0019300735,0.0009687832,0.0029665907,0.0018194554,0.0015649355,0.0043687862],"category_scores_gemma":[0.004510844,0.00053924724,0.00096202875,0.0024285447,0.002500682,0.0027682225,0.0015864515,0.0010370046,0.0008439927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000926887,0.00008643122,0.05378639,0.00009039817,0.00010110568,0.00038238557,0.0019157799,0.46088436,0.0012260097,0.45919764,0.005567255,0.016669556],"study_design_scores_gemma":[0.000054218403,0.00004793572,0.014391831,0.000055818236,0.000060030037,0.00014176941,0.00066932023,0.80630565,0.000155816,0.16996858,0.008099459,0.00004962381],"about_ca_topic_score_codex":0.17171504,"about_ca_topic_score_gemma":0.10918819,"teacher_disagreement_score":0.17171504,"about_ca_system_score_codex":0.005701494,"about_ca_system_score_gemma":0.0022336035,"threshold_uncertainty_score":0.34143108},"labels":[],"label_agreement":null},{"id":"W3124340009","doi":"10.1108/s0147-9121(2010)0000030007?utm_campaign=repec&amp;wt.mc_id=repec","title":"WHY ARE JOBS DESIGNED THE WAY THEY ARE?*","year":2008,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Job design; Job analysis; Job rotation; Complementarity (molecular biology); Ex-ante; Human multitasking; Business; Marketing; Job performance; Labour economics; Economics; Job satisfaction; Psychology; Management","score_opus":0.06135443148679594,"score_gpt":0.20440861043291414,"score_spread":0.14305417894611822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124340009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6746435,0.007472081,0.037511494,0.05881898,0.002329435,0.00016019364,0.0007716979,0.0003909255,0.21790162],"genre_scores_gemma":[0.9699108,0.0011722323,0.007842892,0.0031466205,0.00028331685,0.00008570524,0.00020276109,0.00009631055,0.01725939],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997766,0.0009118348,0.000108139466,0.00031900746,0.00038862752,0.0005064227],"domain_scores_gemma":[0.9911679,0.0023614974,0.0020739334,0.0013182785,0.0011229415,0.00195548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032218685,0.0002545,0.00028988573,0.00069513044,0.002667223,0.00531252,0.00057331874,0.0014473413,0.007378108],"category_scores_gemma":[0.010427486,0.00032804778,0.00027209442,0.0013255418,0.004364441,0.003759855,0.0013196919,0.0011328415,0.002911849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047378356,0.00046925628,0.24239758,0.00095450185,0.00013667328,0.00042493507,0.016563615,0.0029064643,0.0041464344,0.32932714,0.058670603,0.343529],"study_design_scores_gemma":[0.000117708245,0.00036423147,0.3744925,0.0008284983,0.000053186526,0.00061154936,0.024487779,0.002086912,0.0021244453,0.3000235,0.29463306,0.00017660482],"about_ca_topic_score_codex":0.0017525877,"about_ca_topic_score_gemma":0.0041172565,"teacher_disagreement_score":0.007378108,"about_ca_system_score_codex":0.0016280953,"about_ca_system_score_gemma":0.0023954725,"threshold_uncertainty_score":0.024682224},"labels":[],"label_agreement":null},{"id":"W3124370533","doi":"","title":"IT Innovation Persistence: An Oxymoron?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competitor analysis; Sustainability; Business; Overconfidence effect; Marketing; Oxymoron; Roller coaster; Industrial organization; Economics; Engineering; Psychology","score_opus":0.036792388949763916,"score_gpt":0.24982877771685796,"score_spread":0.21303638876709405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124370533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7957283,0.009787573,0.0061563835,0.12783642,0.00038801206,0.000035089135,0.00028202686,0.00004987724,0.059736304],"genre_scores_gemma":[0.9974619,0.00074233545,0.0001709395,0.0008196039,0.00017198914,0.0000059497543,0.00002633801,0.00000598344,0.00059495476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984884,0.00045920382,0.00009643021,0.00031172793,0.00036362236,0.00028054186],"domain_scores_gemma":[0.98277587,0.008829684,0.0049504517,0.0009090182,0.0011347297,0.0014002756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036045688,0.0001457968,0.0002928539,0.0019077592,0.0010876402,0.005754441,0.0006600973,0.0015298227,0.0062174494],"category_scores_gemma":[0.017186822,0.00011359126,0.00026660188,0.002316632,0.008324938,0.0089990385,0.0022502302,0.0019370385,0.000284986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024593037,0.00017255063,0.29507896,0.00036727483,0.00009285595,0.0007593847,0.0347668,0.0005339149,0.0009857661,0.49632215,0.006033794,0.16464062],"study_design_scores_gemma":[0.00006112974,0.0003736521,0.41150272,0.0010599421,0.000116658426,0.0025716207,0.08862469,0.0037092308,0.001265962,0.41110632,0.07947454,0.00013353059],"about_ca_topic_score_codex":0.0015230385,"about_ca_topic_score_gemma":0.001817886,"teacher_disagreement_score":0.0062174494,"about_ca_system_score_codex":0.0013586351,"about_ca_system_score_gemma":0.0014731578,"threshold_uncertainty_score":0.020799458},"labels":[],"label_agreement":null},{"id":"W3124377038","doi":"","title":"A Survey of the Economics of Patent Systems and Procedures","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Quality (philosophy); Public economics; Economics; Patent troll; Business; Patent law; Intellectual property; Political science; Law; Microeconomics","score_opus":0.09396462335330699,"score_gpt":0.2841698929554998,"score_spread":0.19020526960219283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124377038","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026315786,0.7369243,0.0773246,0.021090742,0.0007923596,0.00014320035,0.0014535967,0.00021111612,0.13574427],"genre_scores_gemma":[0.12857531,0.82685226,0.02215168,0.002324556,0.0030501415,0.00014757532,0.00091513054,0.00010710941,0.015876237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961991,0.0012017884,0.00031263332,0.00046513506,0.0016104591,0.00021081205],"domain_scores_gemma":[0.9834637,0.012361081,0.0013167114,0.0009461119,0.0016526107,0.00025985594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004192822,0.0006907152,0.0009280328,0.007685716,0.0010776576,0.0047813104,0.0010402085,0.0020342157,0.009776437],"category_scores_gemma":[0.01378228,0.0006449933,0.00078036974,0.010238687,0.0029086096,0.008561677,0.0010129561,0.0019487316,0.0019272829],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006588664,0.00009494873,0.0028295473,0.0021813114,0.00006246111,0.000127113,0.00025056998,0.0056875516,0.0008302772,0.6399891,0.02230065,0.32558057],"study_design_scores_gemma":[0.000024493953,0.0001573176,0.00985514,0.0018978993,0.000050948864,0.0009038105,0.00033862557,0.005238525,0.0009132677,0.44614825,0.53440064,0.00007103516],"about_ca_topic_score_codex":0.0027060476,"about_ca_topic_score_gemma":0.0018906334,"teacher_disagreement_score":0.009776437,"about_ca_system_score_codex":0.0028911722,"about_ca_system_score_gemma":0.0023836996,"threshold_uncertainty_score":0.032705486},"labels":[],"label_agreement":null},{"id":"W3124395948","doi":"","title":"Who Becomes an Entrepreneur? Labor Market Prospects and Occupational Choice","year":2008,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Entrepreneurship; Productivity; Wage; Labour economics; Economics; Work (physics); Sorting; Business; Economic growth","score_opus":0.04582691975510904,"score_gpt":0.2906671159406442,"score_spread":0.24484019618553515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124395948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97425145,0.0016239536,0.00045785095,0.009610235,0.00003688064,0.000008829659,0.00011601307,0.0000024831322,0.013892304],"genre_scores_gemma":[0.9974776,0.00064090855,0.000040139174,0.00018451326,0.000044602162,0.0000035233397,0.000029099008,7.4811624e-7,0.0015788513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971026,0.000112064765,0.000010852221,0.000031137963,0.000030730032,0.0001049273],"domain_scores_gemma":[0.9963536,0.0016277988,0.00067796337,0.0000714268,0.00009019838,0.0011789869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014471228,0.00009167199,0.00026615363,0.0007389298,0.0008310411,0.0017620969,0.00021691168,0.0009773192,0.0077650025],"category_scores_gemma":[0.0046009473,0.00011674309,0.00019376664,0.0006359336,0.00097135257,0.001335357,0.0006330953,0.0007298764,0.0008609753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027629486,0.0004287737,0.9182647,0.000035448058,0.00004337202,0.0010166191,0.0026983183,0.00064566184,0.00022739123,0.033124834,0.003151872,0.040086646],"study_design_scores_gemma":[0.00006826979,0.0003244412,0.83746076,0.00020896233,0.00004680815,0.0015714528,0.02604881,0.0050124303,0.00020403431,0.11674815,0.01226494,0.00004100965],"about_ca_topic_score_codex":0.0018707918,"about_ca_topic_score_gemma":0.0025162846,"teacher_disagreement_score":0.0077650025,"about_ca_system_score_codex":0.00024333493,"about_ca_system_score_gemma":0.00024172342,"threshold_uncertainty_score":0.025976479},"labels":[],"label_agreement":null},{"id":"W3124427427","doi":"10.1177/1476127008090007","title":"Who enters, where and why? The influence of capabilities and initial resource endowments on the location choices of de novo enterprises","year":2008,"lang":"en","type":"article","venue":"Strategic Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Endowment; Competition (biology); Economies of agglomeration; Industrial organization; Resource (disambiguation); Business; Asset (computer security); Economics; Economic geography; Microeconomics; Biology","score_opus":0.023522025674771036,"score_gpt":0.20801638730150496,"score_spread":0.1844943616267339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124427427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996549,0.0001927291,0.00067430414,0.00024109894,0.0000026622752,0.0000075858306,0.000040182924,0.0000027562787,0.002289766],"genre_scores_gemma":[0.99903727,0.00014330211,0.00015098322,0.000011121996,0.0000017757642,0.0000014316482,0.000019470554,0.0000015493202,0.0006331022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992575,0.00025690364,0.00002866827,0.000106240215,0.00008780484,0.0002628292],"domain_scores_gemma":[0.9931038,0.0028876252,0.0021259475,0.00029330215,0.0004238434,0.0011654506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001391268,0.00013507182,0.00039809977,0.000643747,0.00075874163,0.0022060103,0.00037979364,0.00043461227,0.001977438],"category_scores_gemma":[0.0092126075,0.00021857735,0.00031582598,0.00057161006,0.0016574292,0.00154727,0.001077051,0.0004981727,0.0003290134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048711596,0.00011058482,0.9572384,0.000032610344,0.00007264131,0.0008082011,0.0019175652,0.006548564,0.0015554478,0.006376837,0.0003772435,0.0244749],"study_design_scores_gemma":[0.000032826483,0.00017995245,0.95536685,0.00007289586,0.000101318,0.0006601967,0.014801448,0.012801591,0.0012215871,0.010857941,0.0038400546,0.000063307474],"about_ca_topic_score_codex":0.09315381,"about_ca_topic_score_gemma":0.16943702,"teacher_disagreement_score":0.09315381,"about_ca_system_score_codex":0.0017030436,"about_ca_system_score_gemma":0.0016063177,"threshold_uncertainty_score":0.18522316},"labels":[],"label_agreement":null},{"id":"W3124455056","doi":"10.1108/17439131211201013.html?utm_source=repec&utm_medium=feed&utm_campaign=repec","title":"New Venture Start-Ups and Technological Innovation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercialization; Start up; Earnings; Revenue; Business; Venture capital; Investment (military); Service (business); Business model; Industrial organization; Business administration; Marketing; Finance","score_opus":0.012342473904653749,"score_gpt":0.20677194784602454,"score_spread":0.19442947394137078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124455056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91525805,0.0087534385,0.0013918122,0.0010727096,0.00010211783,0.00010842391,0.0007308309,0.000026982101,0.07255559],"genre_scores_gemma":[0.99180704,0.0014382172,0.00027365505,0.0000694986,0.000040493513,0.00003591456,0.00037813568,0.0000049643104,0.0059520844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987251,0.0003234474,0.000077538294,0.00017280743,0.00038857094,0.00031252997],"domain_scores_gemma":[0.98349345,0.008369109,0.0040877033,0.00039088604,0.00072331895,0.0029355402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015765482,0.0001774823,0.000329974,0.0018211589,0.0007792276,0.0033993348,0.00045340395,0.0006540929,0.011907003],"category_scores_gemma":[0.007551132,0.00008860066,0.00044412797,0.0018143436,0.0011062557,0.0017290687,0.0017996329,0.0011258412,0.0008357044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013668239,0.001304008,0.697325,0.0010133408,0.0003639806,0.0025945813,0.0029112438,0.00826638,0.0010704487,0.15774038,0.005814799,0.1202291],"study_design_scores_gemma":[0.00016141361,0.000861305,0.8623683,0.0011605716,0.00023018291,0.0015958698,0.008845589,0.0058878376,0.0018153979,0.04796427,0.06901578,0.00009342536],"about_ca_topic_score_codex":0.0018883025,"about_ca_topic_score_gemma":0.0032444876,"teacher_disagreement_score":0.011907003,"about_ca_system_score_codex":0.0023211055,"about_ca_system_score_gemma":0.0011768405,"threshold_uncertainty_score":0.03983295},"labels":[],"label_agreement":null},{"id":"W3124526455","doi":"","title":"International Trade-Venue Clienteles and Order-Flow Competitiveness","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; Concordia University","funders":"","keywords":"Float (project management); Order (exchange); Business; Financial economics; Monetary economics; Economics; Finance","score_opus":0.012397926932504648,"score_gpt":0.21053147587312904,"score_spread":0.19813354894062438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124526455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521621,0.00020241893,0.00081161235,0.00011503835,0.0000050297645,0.000017655771,0.00013411381,0.000016827214,0.046535164],"genre_scores_gemma":[0.99868983,0.000054786597,0.00012940801,0.000009000112,0.00000959756,0.00000506419,0.00008648454,0.000005909244,0.0010099706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990251,0.00016006539,0.000056063527,0.00014978957,0.0003735001,0.00023547978],"domain_scores_gemma":[0.9858358,0.005583619,0.0047976836,0.0012840142,0.00078948535,0.0017093362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014162988,0.00020767309,0.00053394446,0.002391922,0.0006757685,0.003992202,0.00055867346,0.0005475067,0.016066553],"category_scores_gemma":[0.011715309,0.0001282764,0.00036257954,0.0024499006,0.0021614877,0.0031300336,0.0022748194,0.00078115205,0.00095178495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011246229,0.00069191837,0.79197586,0.00014321036,0.00014167684,0.00051832426,0.0025324232,0.006709384,0.0024282113,0.14551182,0.0015029567,0.046719685],"study_design_scores_gemma":[0.00019555619,0.00056608324,0.90409064,0.00009510527,0.00012976732,0.0006959693,0.005106923,0.009646414,0.0025428904,0.06786139,0.008998729,0.0000704234],"about_ca_topic_score_codex":0.0031262406,"about_ca_topic_score_gemma":0.0039522373,"teacher_disagreement_score":0.016066553,"about_ca_system_score_codex":0.0012872583,"about_ca_system_score_gemma":0.0009052861,"threshold_uncertainty_score":0.053747952},"labels":[],"label_agreement":null},{"id":"W3124552746","doi":"10.32920/24134952.v1","title":"Market Structure and Cost Pass-Through in Retail","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Vertical integration; Business; Market structure; Retail market; Product (mathematics); Horizontal and vertical; Industrial organization; Commerce; Marketing; Geometry; Mathematics","score_opus":0.07739969124177005,"score_gpt":0.2498104001220349,"score_spread":0.17241070888026483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124552746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958752,0.00010035919,0.0012042708,0.00006441108,0.0000012834103,0.00000677149,0.0002562268,0.000024625666,0.0024669438],"genre_scores_gemma":[0.9988821,0.00003939696,0.00025644124,0.0000055874484,0.0000034288219,0.0000042062074,0.00022230444,0.000008580582,0.0005778282],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99948716,0.000090349786,0.000033476892,0.00010047719,0.00013738412,0.00015114906],"domain_scores_gemma":[0.98901564,0.004650435,0.0041211,0.001082702,0.00066170364,0.00046848573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041518,0.00027037653,0.0005271801,0.0015569718,0.0003363289,0.002278488,0.00050806644,0.00056445756,0.008247253],"category_scores_gemma":[0.008044595,0.00045639224,0.00074482174,0.0013039171,0.0011427021,0.0029642982,0.0012161481,0.0006861979,0.0005858852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068443804,0.00034212094,0.87981087,0.0001013624,0.0003263576,0.0006011578,0.0012905909,0.03631574,0.0037550118,0.046497446,0.0012821286,0.028992688],"study_design_scores_gemma":[0.000043012522,0.00023628613,0.91424465,0.00005160749,0.00015836791,0.00034075763,0.0010234088,0.042038348,0.0035458726,0.03574464,0.0025144482,0.00005863968],"about_ca_topic_score_codex":0.007148144,"about_ca_topic_score_gemma":0.007386501,"teacher_disagreement_score":0.008247253,"about_ca_system_score_codex":0.001549655,"about_ca_system_score_gemma":0.0004948209,"threshold_uncertainty_score":0.027589798},"labels":[],"label_agreement":null},{"id":"W3124571384","doi":"","title":"Financing Innovation in New Small Firms: New Evidence from Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital structure; Debt; R&D intensity; Business; Financial structure; Asset (computer security); Debt ratio; Capital intensity; Investment (military); Capital expenditure; Finance; Monetary economics; Economics; Human capital; Market economy","score_opus":0.11175476381052091,"score_gpt":0.2845664548676457,"score_spread":0.1728116910571248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124571384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818184,0.0031654197,0.00021228337,0.0013064407,0.000013704233,0.000053338546,0.0033937802,0.000010782643,0.010025903],"genre_scores_gemma":[0.9921295,0.0030302403,0.00016890792,0.0001601201,0.000018570103,0.000014844412,0.0020849756,0.000005389,0.0023873714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986229,0.00006485296,0.00008018804,0.00016129923,0.00070132775,0.00036948992],"domain_scores_gemma":[0.9756232,0.0065448154,0.007119258,0.00079928176,0.0069510154,0.0029624377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013324636,0.00018046678,0.0005436051,0.0035630001,0.002234726,0.0023753683,0.0009155278,0.00047352584,0.0032896365],"category_scores_gemma":[0.010776207,0.00023599829,0.00033253263,0.0089589935,0.0012480161,0.000777586,0.0010116459,0.0007960139,0.00020187964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036352914,0.00011880468,0.94853336,0.00025225658,0.00009567606,0.0006609179,0.004491437,0.0007455023,0.00029614806,0.0029546735,0.0044840802,0.037003655],"study_design_scores_gemma":[0.000040691535,0.000025993924,0.9895163,0.00009130083,0.00005722654,0.000083419196,0.0016617788,0.00038484568,0.00018173832,0.0002454086,0.00769243,0.000018802328],"about_ca_topic_score_codex":0.98107326,"about_ca_topic_score_gemma":0.9907911,"teacher_disagreement_score":0.020187167,"about_ca_system_score_codex":0.020187167,"about_ca_system_score_gemma":0.024368731,"threshold_uncertainty_score":0.14646888},"labels":[],"label_agreement":null},{"id":"W3124574918","doi":"","title":"TRADE, WAGES AND SKILL ACCUMULATION IN THE EMERGING GIANTS","year":2009,"lang":"en","type":"preprint","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Free trade; Complementarity (molecular biology); Liberalization; Wage; Context (archaeology); Human capital; China; International economics; Labour economics; Market economy","score_opus":0.19090429646526066,"score_gpt":0.3449625741258885,"score_spread":0.15405827766062782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124574918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98708946,0.0003607898,0.0004604494,0.0005862052,0.000005703218,0.0000035579717,0.000100701676,0.0000071236673,0.011386042],"genre_scores_gemma":[0.9980592,0.00027888402,0.000078664125,0.000037934395,0.000007839053,0.0000012988163,0.0000509694,0.0000015737426,0.0014834908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995875,0.0000045118345,0.0000016342682,0.0000071171316,0.0000060390794,0.000021859762],"domain_scores_gemma":[0.9994742,0.00012162548,0.00022197321,0.000023603689,0.00004340952,0.00011524002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021957872,0.000104997256,0.0001555807,0.00079532096,0.00042199023,0.0010104077,0.00012732597,0.00024771562,0.0034151718],"category_scores_gemma":[0.0010962909,0.00005993975,0.0001409668,0.0008285824,0.0007317679,0.0006880914,0.00068980776,0.00051343796,0.00027163044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046671843,0.0002444109,0.70268816,0.000115552975,0.00009325079,0.0018212014,0.0052425223,0.012213747,0.003555359,0.18658729,0.0044385907,0.082533225],"study_design_scores_gemma":[0.0000593408,0.00010124048,0.8169212,0.00009079562,0.00003220782,0.00041313464,0.004408581,0.01075353,0.0008510938,0.15701701,0.009334395,0.000017436865],"about_ca_topic_score_codex":0.011412026,"about_ca_topic_score_gemma":0.015224826,"teacher_disagreement_score":0.011412026,"about_ca_system_score_codex":0.0005833357,"about_ca_system_score_gemma":0.00034432413,"threshold_uncertainty_score":0.02269119},"labels":[],"label_agreement":null},{"id":"W3124580766","doi":"","title":"Production Structure, Technological Change and Scale Economies in the Saw and Planing Mills Industry in New Brunswick, Canada","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Technical change; Elasticity of substitution; Production (economics); Economics; Capital (architecture); Scale (ratio); Technological change; Economies of scale; Economy; Labour economics; Microeconomics; Economic growth; Macroeconomics; Geography","score_opus":0.054220636007988564,"score_gpt":0.2588392902096406,"score_spread":0.204618654201652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124580766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996234,0.0007781556,0.0006019491,0.00032522294,0.000008992642,0.00006737731,0.0035797406,0.000017457312,0.00465881],"genre_scores_gemma":[0.99183357,0.0006562046,0.00079645024,0.000025579646,0.0000022331346,0.000018138546,0.0024400484,0.000008363611,0.0042194463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935776,0.000040005056,0.00002886137,0.00011080515,0.00017198785,0.00029061045],"domain_scores_gemma":[0.99836904,0.00027246098,0.00031672348,0.000066238084,0.0007280025,0.00024751376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068650796,0.000366538,0.00048454347,0.002904109,0.0017123204,0.0016860524,0.001206715,0.00025185538,0.0023322771],"category_scores_gemma":[0.0018658165,0.0003223818,0.00044195133,0.0071264775,0.0011702508,0.00046995588,0.00055917,0.00054522,0.00022053802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035712708,0.00009996519,0.91342497,0.00020917476,0.0001559197,0.0014619362,0.0033419642,0.026591897,0.0027712635,0.007511596,0.004608675,0.0394654],"study_design_scores_gemma":[0.00003105475,0.000022396971,0.9807277,0.00004495127,0.00003005713,0.000075488206,0.0029041166,0.010854816,0.00046440965,0.0005413776,0.0042616567,0.000042076983],"about_ca_topic_score_codex":0.99825734,"about_ca_topic_score_gemma":0.99915326,"teacher_disagreement_score":0.070538804,"about_ca_system_score_codex":0.070538804,"about_ca_system_score_gemma":0.042929552,"threshold_uncertainty_score":0.51179725},"labels":[],"label_agreement":null},{"id":"W3124605771","doi":"10.2139/ssrn.1809896","title":"Industry Structure and Labour Market Flexibility in the South African Manufacturing Sector: A Time Series and Panel Data Approach","year":2011,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Flexibility (engineering); Panel data; Imperfect; Competition (biology); Imperfect competition; Market structure; Economics; Manufacturing; Labour economics; Manufacturing sector; Labour market flexibility; Industrial organization; Business; Econometrics; Microeconomics; Macroeconomics","score_opus":0.055647041425255186,"score_gpt":0.22430847671480947,"score_spread":0.1686614352895543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124605771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705374,0.00038304421,0.0007889055,0.00033190107,0.0000075825183,0.0000059335302,0.0007301918,0.000004900453,0.0006937358],"genre_scores_gemma":[0.9981547,0.00027936863,0.00022832431,0.000016657592,0.000013060911,0.000006528236,0.00067424506,0.0000024665785,0.000624658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997067,0.00011179899,0.000020457386,0.00005221088,0.000030116531,0.00007864714],"domain_scores_gemma":[0.99745494,0.001536996,0.00060409756,0.00012882985,0.00009617527,0.00017903898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010502667,0.00022069408,0.0003793267,0.0011852968,0.00039251635,0.0009618171,0.00044649962,0.00078498153,0.0035256192],"category_scores_gemma":[0.0036014684,0.0002764825,0.0006132489,0.0026344364,0.00036774238,0.0008655289,0.0007563265,0.000902098,0.000349087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003273781,0.00020117189,0.93429166,0.00010605483,0.00063326146,0.0007997121,0.0015754513,0.027967613,0.0017628132,0.00868879,0.0014642463,0.022181775],"study_design_scores_gemma":[0.00001800942,0.00011685903,0.94477713,0.00008206948,0.00021792014,0.0001535327,0.0017132411,0.046313066,0.0005800664,0.0034678564,0.0025315885,0.000028682578],"about_ca_topic_score_codex":0.024834475,"about_ca_topic_score_gemma":0.0313531,"teacher_disagreement_score":0.024834475,"about_ca_system_score_codex":0.00050062494,"about_ca_system_score_gemma":0.0005142387,"threshold_uncertainty_score":0.049379885},"labels":[],"label_agreement":null},{"id":"W3124666284","doi":"","title":"Impact of Advanced Technology Use on Firm Performance in the Canadian Food Processing Sector","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food processing; Industrial organization; Business; Food sector; Environmental economics; Agricultural economics; Economics; Agriculture; Geography; Political science","score_opus":0.06331055105035426,"score_gpt":0.3012384857632024,"score_spread":0.23792793471284812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124666284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936126,0.0005808868,0.00007527452,0.00033651514,0.000004541787,0.000010917001,0.0014101012,0.000011594187,0.0039576897],"genre_scores_gemma":[0.99780434,0.00028636126,0.000043254124,0.000022809218,0.000004228651,0.0000021611022,0.0007616444,0.0000021032592,0.0010730813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874926,0.00009070017,0.000033804434,0.00011143508,0.00051071297,0.00050405826],"domain_scores_gemma":[0.9938601,0.00087984256,0.0013939909,0.00015363931,0.002172286,0.0015400759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009361035,0.00031343382,0.000304011,0.0021778666,0.0010975249,0.0017091216,0.00056966324,0.00051154697,0.002765796],"category_scores_gemma":[0.0055868933,0.0001498024,0.0003352683,0.0038826393,0.0008836329,0.00052405806,0.0008446593,0.00065307884,0.0003364984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028315975,0.00012052114,0.9674233,0.000047904712,0.000099333694,0.00016991698,0.00051157456,0.0053948266,0.0010157559,0.00090301246,0.001471827,0.02255893],"study_design_scores_gemma":[0.000004447683,0.00002914819,0.9980246,0.0000071154477,0.0000124698745,0.000011584414,0.00024141977,0.0008051786,0.00013406019,0.000041670515,0.0006813205,0.000006971131],"about_ca_topic_score_codex":0.9653588,"about_ca_topic_score_gemma":0.9798716,"teacher_disagreement_score":0.034641206,"about_ca_system_score_codex":0.018194262,"about_ca_system_score_gemma":0.0144329835,"threshold_uncertainty_score":0.13200921},"labels":[],"label_agreement":null},{"id":"W3124683130","doi":"10.2139/ssrn.2870918","title":"Dynamics in Research Joint Ventures and R&amp;D Collaborations","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Joint (building); Dynamics (music); Business; Computer science; Engineering; Sociology; Structural engineering","score_opus":0.08451181102739701,"score_gpt":0.30310820184531584,"score_spread":0.21859639081791882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124683130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92408854,0.003062953,0.004467922,0.0069880793,0.00006324583,0.000044946966,0.0011450676,0.00007278613,0.06006647],"genre_scores_gemma":[0.993664,0.00051042595,0.00036088494,0.00009526154,0.00003839016,0.000021883234,0.0002212349,0.000010172643,0.0050777285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970797,0.0011161634,0.00017310599,0.00042754426,0.00050187804,0.0007016508],"domain_scores_gemma":[0.9399058,0.035903696,0.010494509,0.001177161,0.0031077778,0.009410941],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0036911708,0.00012019342,0.00044194664,0.003481693,0.0014943747,0.00776036,0.00080465386,0.0021862034,0.013777212],"category_scores_gemma":[0.04048455,0.0003252113,0.0003697267,0.0040026023,0.0017905494,0.0058243787,0.003442176,0.0018491335,0.0019159967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011460519,0.00057699886,0.4649195,0.00023806177,0.00015723972,0.00088267395,0.013803776,0.008348869,0.0018334084,0.39125484,0.01592688,0.10091177],"study_design_scores_gemma":[0.00018019993,0.00036101858,0.5636875,0.00039910228,0.00010632922,0.0014474703,0.0468757,0.035708986,0.0010529144,0.28110465,0.06892546,0.00015066583],"about_ca_topic_score_codex":0.0052233064,"about_ca_topic_score_gemma":0.0059980243,"teacher_disagreement_score":0.9963088,"about_ca_system_score_codex":0.0018894154,"about_ca_system_score_gemma":0.0015218875,"threshold_uncertainty_score":0.04608941},"labels":[],"label_agreement":null},{"id":"W3124728081","doi":"10.2139/ssrn.1917920","title":"Shocks, Financial Dependence, and Efficiency: Evidence from U.S. And Canadian Industries","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Business; Financial system; Finance","score_opus":0.03297280399473454,"score_gpt":0.1989871431716084,"score_spread":0.16601433917687386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124728081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878066,0.0026428518,0.00019909967,0.00071664026,0.000007737275,0.000019835397,0.0022076599,0.000010323545,0.006389246],"genre_scores_gemma":[0.9950369,0.0020289137,0.00008945374,0.00008170255,0.000009233736,0.0000032962291,0.0017786055,0.0000036685435,0.0009681285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921346,0.00006566826,0.000049976934,0.00009723975,0.00029916834,0.00027437974],"domain_scores_gemma":[0.9902271,0.0022591355,0.00291064,0.00042081976,0.003027499,0.0011548371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012657118,0.0003396194,0.00039968966,0.0035075261,0.0016976821,0.0023172717,0.000730518,0.0005693546,0.0032062712],"category_scores_gemma":[0.009477473,0.00021302095,0.00045090215,0.0104882745,0.0013059668,0.00066897896,0.001251846,0.00073630817,0.00025784265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001453819,0.000055575685,0.98159677,0.000058838054,0.00012702997,0.00006187853,0.00077426655,0.0006607765,0.00014192655,0.0013549787,0.0017394611,0.013283105],"study_design_scores_gemma":[0.0000070986835,0.000011027629,0.99749327,0.000028026268,0.000057537163,0.000013195274,0.00080778525,0.00023809062,0.00006712235,0.0002038831,0.001063917,0.000009067629],"about_ca_topic_score_codex":0.9702895,"about_ca_topic_score_gemma":0.9826721,"teacher_disagreement_score":0.029710472,"about_ca_system_score_codex":0.007899993,"about_ca_system_score_gemma":0.009398004,"threshold_uncertainty_score":0.059770823},"labels":[],"label_agreement":null},{"id":"W3124766746","doi":"","title":"Analyse empirique des tendances sur le plan de la diversification des societes au Canada","year":2000,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Diversification (marketing strategy); Philosophy; Business","score_opus":0.16653951823191565,"score_gpt":0.3380024820766036,"score_spread":0.17146296384468795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124766746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95489246,0.0016953221,0.015066476,0.0011888854,0.000020807127,0.00007083783,0.0047742226,0.00019227936,0.022098662],"genre_scores_gemma":[0.9823173,0.0010564299,0.0076703397,0.00007711398,0.000007062566,0.00003683672,0.0019320564,0.00004671262,0.006856051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990214,0.00021465356,0.00004514198,0.00017096463,0.00037580077,0.00017192078],"domain_scores_gemma":[0.99412125,0.0032162883,0.00038585538,0.00025324352,0.0018013581,0.00022198186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021935303,0.0005187478,0.0008681312,0.0037359118,0.0016081847,0.0034186614,0.00100387,0.0006023487,0.0060480637],"category_scores_gemma":[0.011667777,0.0005648855,0.00096080586,0.0062828483,0.0010739727,0.00091587554,0.000815486,0.0009792513,0.00042539238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014348018,0.000036057652,0.3205298,0.00026069334,0.0004346798,0.0003124751,0.0016892762,0.58388656,0.0007175039,0.033104796,0.0036804667,0.055204265],"study_design_scores_gemma":[0.000037974452,0.000048090533,0.29910114,0.0003073296,0.00019053054,0.00009934833,0.0032426938,0.662855,0.0007398578,0.011836585,0.021451969,0.00008940842],"about_ca_topic_score_codex":0.97675246,"about_ca_topic_score_gemma":0.9724949,"teacher_disagreement_score":0.026828617,"about_ca_system_score_codex":0.026828617,"about_ca_system_score_gemma":0.019850112,"threshold_uncertainty_score":0.19465613},"labels":[],"label_agreement":null},{"id":"W3124767411","doi":"","title":"Occupational Structure, Technological Innovation, and Reorganization of Production","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Complementarity (molecular biology); Technological change; Labour economics; Economics; Production (economics); Investment (military); Panel data; Recession; Empirical evidence; Human capital; Capital structure; Capital (architecture); Business; Market economy; Macroeconomics","score_opus":0.015082461796552907,"score_gpt":0.2165759148066798,"score_spread":0.2014934530101269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124767411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659866,0.00028554673,0.00074492407,0.000110085544,0.0000032195112,0.000011037552,0.00019630262,0.0000065355994,0.00204366],"genre_scores_gemma":[0.99823654,0.00019037806,0.00019595675,0.000012200189,0.000011159727,0.0000076030187,0.0003228366,0.000001432147,0.0010218815],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949443,0.000111311885,0.000034431323,0.000104356135,0.00009950565,0.0001560114],"domain_scores_gemma":[0.9939136,0.002122987,0.0026259653,0.0004885947,0.00021302902,0.0006358392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010287836,0.00014789459,0.00037255793,0.0013022256,0.00040872613,0.0011693966,0.00026473613,0.00043831812,0.006402271],"category_scores_gemma":[0.0050451485,0.00018810728,0.00035963548,0.0015503383,0.00061586825,0.00044829934,0.000766944,0.0003520321,0.00065277674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015615323,0.00011497294,0.97913367,0.000025802696,0.00007538664,0.00011728823,0.00034178098,0.0035936777,0.0008135595,0.0020125262,0.00027091807,0.013344272],"study_design_scores_gemma":[0.000011467832,0.000039241553,0.9949721,0.0000068472073,0.000015369968,0.000049798316,0.00020502126,0.0017898943,0.000100996505,0.0022731929,0.00053181895,0.0000040882096],"about_ca_topic_score_codex":0.005678304,"about_ca_topic_score_gemma":0.012196683,"teacher_disagreement_score":0.006402271,"about_ca_system_score_codex":0.0006994498,"about_ca_system_score_gemma":0.00059370504,"threshold_uncertainty_score":0.021417797},"labels":[],"label_agreement":null},{"id":"W3124808515","doi":"","title":"Firm Dynamics: Variation in Profitability Across Canadian Firms of Different Sizes, 2000 to 2009","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Volatility (finance); Business; Variation (astronomy); Econometrics; Industrial organization; Economics; Monetary economics; Financial economics; Finance","score_opus":0.036246699329942414,"score_gpt":0.2938286259971795,"score_spread":0.2575819266672371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124808515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78603363,0.0018261085,0.00036874216,0.001579105,0.00003736838,0.00004406314,0.20093817,0.0001629905,0.009009895],"genre_scores_gemma":[0.9082209,0.0010043336,0.0003968008,0.00017296353,0.000021110027,0.000024671534,0.08344478,0.000026953621,0.006687377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992273,0.000025346952,0.000035691588,0.00012550244,0.0003203564,0.000265845],"domain_scores_gemma":[0.99468756,0.00026203145,0.0011213656,0.0001985475,0.0028719183,0.00085857103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085482723,0.00044635707,0.00037741422,0.0041242074,0.0015202167,0.0019171825,0.0012512078,0.00049071654,0.002821934],"category_scores_gemma":[0.004309729,0.0002824,0.0005461091,0.009043894,0.0005200655,0.000782577,0.0010218521,0.0007387266,0.00067647407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024340491,0.00006235442,0.9412168,0.000091311405,0.00015101439,0.00014090675,0.0012099893,0.0020384435,0.00036864742,0.0014894257,0.03807286,0.014914845],"study_design_scores_gemma":[0.0000055067026,0.000008813023,0.9919533,0.000015135889,0.000014745529,0.000025412106,0.00045126717,0.0008591969,0.000110557616,0.000050694503,0.0064888685,0.000016584125],"about_ca_topic_score_codex":0.9960227,"about_ca_topic_score_gemma":0.9974126,"teacher_disagreement_score":0.029051106,"about_ca_system_score_codex":0.029051106,"about_ca_system_score_gemma":0.02375655,"threshold_uncertainty_score":0.21078151},"labels":[],"label_agreement":null},{"id":"W3124884042","doi":"","title":"Innovation et connectivite: la nature des liaisons entre les marches et les reseaux d'innovation dans les industries de la fabrication au Canada","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.05475549939224563,"score_gpt":0.3169857402787054,"score_spread":0.2622302408864598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124884042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91879827,0.0010389397,0.0030907858,0.0015630445,0.000011557587,0.0000441431,0.00022375915,0.000036033805,0.07519341],"genre_scores_gemma":[0.9848348,0.00041948396,0.0006900448,0.00004306644,0.0000040220293,0.000017405326,0.00005954861,0.000008977336,0.013922635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888366,0.00018418347,0.000025663896,0.00019226054,0.00039701877,0.00031721633],"domain_scores_gemma":[0.9977847,0.00077317376,0.00039096017,0.00007195962,0.00049225497,0.0004869893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032059,0.00022019091,0.00029377642,0.0028810166,0.00416061,0.0063673616,0.0005847508,0.0006034876,0.009985087],"category_scores_gemma":[0.004021695,0.00020977025,0.00034035635,0.005955014,0.0045709037,0.0018234078,0.0026569874,0.00077329314,0.00031665934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028330003,0.000063758765,0.3551133,0.00023662028,0.00008996008,0.0014493021,0.12876867,0.010187909,0.0031003172,0.36383545,0.0023603553,0.13451111],"study_design_scores_gemma":[0.000032844364,0.00008574966,0.68874604,0.00035408224,0.00008256041,0.00042328873,0.1580584,0.006506978,0.00081361283,0.035189167,0.10962912,0.00007818392],"about_ca_topic_score_codex":0.80660385,"about_ca_topic_score_gemma":0.8773717,"teacher_disagreement_score":0.96984935,"about_ca_system_score_codex":0.030150624,"about_ca_system_score_gemma":0.02096242,"threshold_uncertainty_score":0.38907015},"labels":[],"label_agreement":null},{"id":"W3124895593","doi":"10.1080/10438599.2012.708134","title":"Evidence on the impact of R&amp;D and ICT investments on innovation and productivity in Italian firms","year":2012,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":303,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universitat de Barcelona; University of Windsor","keywords":"Complementarity (molecular biology); Information and Communications Technology; Productivity; Investment (military); Panel data; Business; Industrial organization; Production (economics); Economics; Microeconomics; Econometrics; Economic growth","score_opus":0.1180478152290953,"score_gpt":0.2910443305959414,"score_spread":0.17299651536684613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124895593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667136,0.008537458,0.0008081804,0.0022886014,0.000017508415,0.000012181835,0.0011715933,0.00003231242,0.020418527],"genre_scores_gemma":[0.99598336,0.0019398405,0.00011669625,0.0001352909,0.00006377344,0.000006493653,0.0007495889,0.0000041430844,0.0010008606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972523,0.0008477346,0.00017664641,0.0003753523,0.00068631873,0.0006616112],"domain_scores_gemma":[0.93055356,0.040236954,0.022454837,0.0030141608,0.0018840131,0.0018565244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032277836,0.0003840295,0.00046734026,0.0038455585,0.00036780862,0.0020648804,0.0005680583,0.0010091504,0.004813703],"category_scores_gemma":[0.023468684,0.0002521391,0.0011952234,0.0062106084,0.0011702998,0.0009622363,0.001707248,0.00076466135,0.0009836325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111629466,0.000059354872,0.9799264,0.00012556442,0.00019388167,0.00017556504,0.00022914559,0.0013702117,0.0002717105,0.0016463244,0.00052824075,0.015361963],"study_design_scores_gemma":[0.0000051107627,0.000028940389,0.9978549,0.000035758156,0.00008244687,0.00006961148,0.00009037263,0.00041190645,0.00012179212,0.00027181162,0.0010221286,0.0000051408356],"about_ca_topic_score_codex":0.01954567,"about_ca_topic_score_gemma":0.018754542,"teacher_disagreement_score":0.01954567,"about_ca_system_score_codex":0.0014978467,"about_ca_system_score_gemma":0.00092612975,"threshold_uncertainty_score":0.038863838},"labels":[],"label_agreement":null},{"id":"W3124901408","doi":"","title":"Wages, Human Capital, and Structural Transformation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Wage; Economics; Labour economics; Agriculture; Economic growth; Geography","score_opus":0.01874082737085776,"score_gpt":0.2376276028383614,"score_spread":0.21888677546750365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124901408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960359,0.00043118518,0.0064473227,0.00154368,0.00001591564,0.000017105942,0.00030181804,0.00003273638,0.030851146],"genre_scores_gemma":[0.99887353,0.000059930197,0.0001769405,0.000019929208,0.000005009851,0.0000026709245,0.000037044167,0.0000014837038,0.0008234217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997689,0.000052837724,0.0000094561865,0.00004613641,0.000041293588,0.000081438135],"domain_scores_gemma":[0.99807596,0.00062076777,0.0007874506,0.00018689987,0.0001063827,0.00022255909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004157216,0.000101727375,0.00014334936,0.0004978459,0.00050997105,0.0011950071,0.00024838635,0.00032804714,0.006286109],"category_scores_gemma":[0.0041677537,0.000079204714,0.00014544273,0.0008926156,0.0015690065,0.0009074593,0.0006945606,0.00047182565,0.00028727693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022395214,0.0003111261,0.34335166,0.00010858016,0.00008953026,0.0004383884,0.001616098,0.06266898,0.0017522112,0.5043403,0.0031653238,0.08193387],"study_design_scores_gemma":[0.000035309196,0.00010860896,0.32077804,0.000047935264,0.000018931001,0.00019744098,0.0011837882,0.023615185,0.00074616564,0.646133,0.0071177897,0.000017842027],"about_ca_topic_score_codex":0.005099117,"about_ca_topic_score_gemma":0.00724841,"teacher_disagreement_score":0.006286109,"about_ca_system_score_codex":0.0012875826,"about_ca_system_score_gemma":0.00057904795,"threshold_uncertainty_score":0.021029174},"labels":[],"label_agreement":null},{"id":"W3124913914","doi":"","title":"The Firm Size Distribution Across Countries and Skill-Biased Change in Entrepreneurial Technology","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Entrepreneurship; Economics; Distribution (mathematics); Per capita income; Skewness; Per capita; Demographic economics; Labour economics; Frontier; Income distribution; Technological change; Econometrics; Macroeconomics; Population; Inequality; Geography","score_opus":0.023383505765148582,"score_gpt":0.28686139729437643,"score_spread":0.26347789152922785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124913914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492985,0.00037416385,0.0012318197,0.00032383064,0.0000074615023,0.0000046956266,0.00024157627,0.000009935163,0.0028766037],"genre_scores_gemma":[0.9994198,0.000115893694,0.00009325677,0.00003354629,0.0000063048747,0.000002124447,0.00013970464,0.0000025074346,0.00018692516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993079,0.00021784732,0.000054454824,0.0001660673,0.000086462744,0.00016725808],"domain_scores_gemma":[0.98878235,0.00451266,0.004063817,0.0012506574,0.0007434064,0.0006470168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016668442,0.00010187979,0.00033835115,0.0014247375,0.00024593557,0.0011642333,0.0002450646,0.00042717086,0.0022452318],"category_scores_gemma":[0.011465364,0.00015090259,0.00040490605,0.0014229612,0.0010021409,0.001208674,0.0009779013,0.00043727728,0.00029049302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019816145,0.00005048038,0.9548583,0.000037243874,0.00026297054,0.0003532135,0.0006825485,0.007641892,0.001026628,0.013725995,0.0012687219,0.019893931],"study_design_scores_gemma":[0.000025365944,0.00005088498,0.97915995,0.000033712142,0.000051653184,0.00024145664,0.0007810512,0.0041563483,0.00044609714,0.013734531,0.0012987852,0.00002017164],"about_ca_topic_score_codex":0.0030978792,"about_ca_topic_score_gemma":0.0024597931,"teacher_disagreement_score":0.0030978792,"about_ca_system_score_codex":0.00032457168,"about_ca_system_score_gemma":0.00017282795,"threshold_uncertainty_score":0.008815229},"labels":[],"label_agreement":null},{"id":"W3124932493","doi":"","title":"Globalisation and Wage Inequality in the Canadian Manufacturing Sector: A Time Series Analysis","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wage; Economics; Immigration; Foreign direct investment; Globalization; Inequality; Labour economics; Wage inequality; Position (finance); Production (economics); Investment (military); Capital (architecture); European union; Demographic economics; International economics; Macroeconomics; Political science; Geography; Market economy","score_opus":0.05199003202371488,"score_gpt":0.27990327979103036,"score_spread":0.22791324776731547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124932493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936207,0.0011432031,0.0004994149,0.00070648355,0.00002008052,0.000023197377,0.0020670234,0.000020118205,0.0018996831],"genre_scores_gemma":[0.99586856,0.0007645425,0.00021093714,0.000034570832,0.000016359987,0.000008362233,0.0020055296,0.0000045311103,0.0010865867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994723,0.000044394,0.000020760472,0.0000750848,0.00017553697,0.00021198331],"domain_scores_gemma":[0.99854845,0.00030715414,0.0003403767,0.00009601405,0.0004420296,0.0002660432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010131684,0.00035738898,0.00056212826,0.002094773,0.0010490688,0.0014400491,0.00092465075,0.0006005112,0.0029278689],"category_scores_gemma":[0.002929611,0.00014518638,0.00077109,0.0053081275,0.0005416746,0.00034651434,0.000617398,0.0009024643,0.00021492032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022113748,0.00013233667,0.94846666,0.000071489136,0.00029915277,0.00048899546,0.0014314104,0.010394891,0.00053849176,0.0046215,0.0039198133,0.029414155],"study_design_scores_gemma":[0.000009005403,0.000024330755,0.9805306,0.000022913002,0.00006917168,0.000048535934,0.00088809937,0.01577899,0.00008292113,0.00030715496,0.0022178825,0.00002047804],"about_ca_topic_score_codex":0.9667214,"about_ca_topic_score_gemma":0.9477125,"teacher_disagreement_score":0.033278584,"about_ca_system_score_codex":0.007644105,"about_ca_system_score_gemma":0.0074955,"threshold_uncertainty_score":0.06694907},"labels":[],"label_agreement":null},{"id":"W3124960499","doi":"","title":"Knowledge Inheritance, Vertical Integration, and Entrant Survival in the Early U.S. Auto Industry","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inheritance (genetic algorithm); Vertical integration; Industrial organization; Business; Auto industry; Knowledge management; Computer science; Engineering; Automotive industry; Biology; Genetics","score_opus":0.037785810067543946,"score_gpt":0.24623741453486686,"score_spread":0.20845160446732292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124960499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984295,0.00017274688,0.000031369516,0.00014592,0.0000018617994,0.0000010563733,0.000037675603,0.0000012224251,0.0011786158],"genre_scores_gemma":[0.99920136,0.0000785741,0.000011014597,0.0000136785175,0.0000031432578,5.5080756e-7,0.000045099674,5.192034e-7,0.00064616965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980325,0.000029496257,0.000014149153,0.000025612939,0.000030658623,0.00009682414],"domain_scores_gemma":[0.9953458,0.0013397717,0.0017181267,0.00012324388,0.00040499502,0.0010681637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282613,0.00010995235,0.00016373675,0.00094473833,0.00063949125,0.0014711686,0.00025373028,0.0005450914,0.0034912887],"category_scores_gemma":[0.0037571054,0.00008278338,0.000149712,0.0009606622,0.00069069455,0.0010663301,0.0012087155,0.00079895795,0.0002827486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028124105,0.0002593517,0.96628803,0.000016640566,0.000032183787,0.00023430922,0.0012726907,0.0013210569,0.00039362084,0.0033427854,0.00072744687,0.025830675],"study_design_scores_gemma":[0.000013939413,0.0001229624,0.99065197,0.00005708655,0.000026422254,0.00007888108,0.0034996558,0.0017817393,0.00031718638,0.0024111096,0.0010287703,0.000010291599],"about_ca_topic_score_codex":0.04570336,"about_ca_topic_score_gemma":0.09846941,"teacher_disagreement_score":0.04570336,"about_ca_system_score_codex":0.0011265352,"about_ca_system_score_gemma":0.0009507282,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3124973025","doi":"10.1111/j.0036-9292.2005.00353.x","title":"Plant-Level Analysis Using the ARD: Another Look at Gibrat's Law","year":2005,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mean reversion; Unit root; Econometrics; Economics; Proposition; Sample (material); Panel data; Unit root test; Test (biology); Gross output; Macroeconomics; Cointegration","score_opus":0.06785557227576937,"score_gpt":0.2668022709843513,"score_spread":0.1989466987085819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124973025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79108226,0.0036883305,0.15160878,0.0024421343,0.0002875521,0.00015980816,0.0032061264,0.0013372767,0.046187684],"genre_scores_gemma":[0.99103254,0.00019810924,0.0051217964,0.00022973931,0.00010675386,0.00003047613,0.0007378091,0.000078263845,0.0024643645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917869,0.004143413,0.00039517935,0.0013463161,0.001860559,0.0004676425],"domain_scores_gemma":[0.89716804,0.08334967,0.007905257,0.008084447,0.0028780152,0.0006145433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009407447,0.00024315887,0.00134672,0.0036610847,0.00043726375,0.0020691885,0.0012389896,0.0011189848,0.016930414],"category_scores_gemma":[0.048029978,0.00017351915,0.001301253,0.004552277,0.0011296049,0.0013295498,0.0013037787,0.0016765434,0.0020977487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082388497,0.00034227315,0.5895793,0.00049051916,0.0012663396,0.0027388423,0.0024562695,0.036688164,0.0031430433,0.16119573,0.016080644,0.18519503],"study_design_scores_gemma":[0.0002456076,0.0014623932,0.6148196,0.00023017975,0.00048817662,0.0012229967,0.0019481679,0.25870898,0.0029897715,0.07207109,0.04565609,0.00015691791],"about_ca_topic_score_codex":0.009281342,"about_ca_topic_score_gemma":0.0035232727,"teacher_disagreement_score":0.016930414,"about_ca_system_score_codex":0.0010248858,"about_ca_system_score_gemma":0.00061732036,"threshold_uncertainty_score":0.056637824},"labels":[],"label_agreement":null},{"id":"W3124975011","doi":"","title":"Functional Principal Component Analysis of Density Families with Categorical and Continuous Data on Canadian Entrant Manufacturing Firms","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Lakehead University","funders":"","keywords":"Econometrics; Principal component analysis; Leverage (statistics); Categorical variable; Productivity; Economics; Asset (computer security); Variable (mathematics); Variables; Manufacturing; Debt; Industrial organization; Financial economics; Business; Statistics; Mathematics; Macroeconomics; Marketing; Computer science","score_opus":0.035989251352394794,"score_gpt":0.19658884676413615,"score_spread":0.16059959541174135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124975011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735377,0.00034522245,0.023363564,0.00017509992,0.000008832309,0.000058056125,0.001047269,0.00011351356,0.0013508144],"genre_scores_gemma":[0.9928941,0.00014482939,0.0047653434,0.0000131043935,0.0000059885497,0.000022463586,0.0015539984,0.000018719173,0.00058138254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739707,0.0010263873,0.00009007404,0.000331262,0.00057555625,0.0005795401],"domain_scores_gemma":[0.985081,0.008433111,0.0014981825,0.0012558152,0.0031237062,0.0006082132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005308236,0.00043356267,0.00064231444,0.0048941807,0.0012598706,0.0018342851,0.0012620577,0.0005646196,0.0017019714],"category_scores_gemma":[0.03393976,0.00024788716,0.0010852143,0.0060149063,0.001450715,0.00086361566,0.0010400028,0.0008610344,0.00023802348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035056498,0.000092532304,0.7968459,0.000111662106,0.00034023513,0.00058684294,0.0024582176,0.08630728,0.0013847342,0.020124042,0.0027483683,0.08864961],"study_design_scores_gemma":[0.00001433446,0.000040047846,0.69686353,0.00004295913,0.000050664494,0.00017616668,0.0014617669,0.29153696,0.000559436,0.0064153112,0.0027700232,0.00006877575],"about_ca_topic_score_codex":0.8294142,"about_ca_topic_score_gemma":0.68443483,"teacher_disagreement_score":0.17058581,"about_ca_system_score_codex":0.0074686203,"about_ca_system_score_gemma":0.0048382203,"threshold_uncertainty_score":0.34318084},"labels":[],"label_agreement":null},{"id":"W3124984934","doi":"","title":"Distribution of Firms by Size: Observations and Evidence from Selected Countries","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Distribution (mathematics); Business; Econometrics; Economics; Mathematics","score_opus":0.01617101897143705,"score_gpt":0.2072468875629967,"score_spread":0.19107586859155964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124984934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99216133,0.0013251847,0.0002317525,0.00012174705,0.0000062211934,0.000014484324,0.0035099636,0.000010440799,0.0026188795],"genre_scores_gemma":[0.9941777,0.0010052546,0.00014726771,0.00004794095,0.000015219127,0.000016465627,0.004274045,0.000006197335,0.00030989645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707687,0.0009990332,0.00042521756,0.0006365002,0.00048530675,0.00037718995],"domain_scores_gemma":[0.96688575,0.011312611,0.015211848,0.0021944724,0.003073134,0.0013221281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022204681,0.00024122154,0.0005624691,0.004381007,0.0004977676,0.001394646,0.00077781355,0.0005736913,0.0020427299],"category_scores_gemma":[0.012131994,0.0004042215,0.00060474285,0.0091888085,0.001021042,0.0015351264,0.0015406279,0.00060603267,0.00086507876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010367811,0.000037466416,0.994494,0.0000728205,0.00014090275,0.00018598489,0.00071034004,0.0003153134,0.00009639369,0.00024123659,0.00073030987,0.002871562],"study_design_scores_gemma":[0.0000069254397,0.000047205987,0.99718225,0.00003332111,0.000026275491,0.00017964073,0.001336323,0.00014857147,0.00012732884,0.00005720167,0.00084679923,0.000008123218],"about_ca_topic_score_codex":0.013358605,"about_ca_topic_score_gemma":0.013668807,"teacher_disagreement_score":0.013358605,"about_ca_system_score_codex":0.0005327348,"about_ca_system_score_gemma":0.00032555964,"threshold_uncertainty_score":0.026561677},"labels":[],"label_agreement":null},{"id":"W3125132551","doi":"","title":"LES DETERMINANTS DE L'OFFRE VOLONTAIRE DES INFORMATIONS SOCIETALES ET L'ANALYSE DU NIVEAU DE DIVULGATION : CAS DES ENTREPRISES CANADIENNES","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03692972813305811,"score_gpt":0.24665303455082507,"score_spread":0.20972330641776696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125132551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695361,0.0015698216,0.0023964033,0.00550598,0.0000143664465,0.000016170092,0.0003246122,0.000025358973,0.020611238],"genre_scores_gemma":[0.99747485,0.00031395,0.00027152934,0.00006250931,0.0000152604,0.0000073271126,0.00005423517,0.0000056391004,0.0017946558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739254,0.0013106806,0.000097956654,0.00030020936,0.0005050041,0.00039359738],"domain_scores_gemma":[0.91227126,0.072483025,0.007075989,0.0018598993,0.00431963,0.0019901535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055529363,0.00027109284,0.00059724314,0.0027327246,0.0011779245,0.0069219116,0.00055115926,0.001814064,0.009822099],"category_scores_gemma":[0.03387993,0.00022111955,0.00040303214,0.0040690843,0.0026015567,0.0029814467,0.0015287196,0.001754222,0.0007192481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026710553,0.0003434976,0.76989526,0.00022255845,0.0003357092,0.0005955271,0.018081194,0.0062253247,0.0010948047,0.13426654,0.0027208256,0.06595151],"study_design_scores_gemma":[0.000027352336,0.00014095206,0.89065224,0.00020644393,0.00019232783,0.0004583538,0.017738342,0.013191134,0.0012387463,0.061003737,0.015083796,0.000066573426],"about_ca_topic_score_codex":0.039077442,"about_ca_topic_score_gemma":0.024899388,"teacher_disagreement_score":0.96092254,"about_ca_system_score_codex":0.003017991,"about_ca_system_score_gemma":0.0019278252,"threshold_uncertainty_score":0.07769996},"labels":[],"label_agreement":null},{"id":"W3125174472","doi":"","title":"Patent Rights, Innovation and Firm Exit","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Collateral; Download; Business; Patent troll; Exploit; Developing country; Patent law; Economics; Finance; Intellectual property; Law; Economic growth; Political science; Econometrics","score_opus":0.05642860333126444,"score_gpt":0.22544552414317404,"score_spread":0.1690169208119096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125174472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98953056,0.0015570415,0.0014718453,0.0013519784,0.000022957418,0.00002892474,0.00028997834,0.0000199852,0.005726638],"genre_scores_gemma":[0.997589,0.0003633554,0.00011134566,0.00006333892,0.000057535934,0.000010608725,0.00017833433,0.0000033392405,0.0016231356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979032,0.0006239078,0.0001512621,0.00028283475,0.00029580228,0.00074284524],"domain_scores_gemma":[0.8871505,0.06811804,0.035978764,0.0021682982,0.0016425757,0.004941674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044956114,0.00027910125,0.0008212994,0.0018816324,0.0008345255,0.0024946835,0.00093737047,0.0021948593,0.009308908],"category_scores_gemma":[0.0377795,0.00016917878,0.0010837425,0.0016573603,0.0021201395,0.0026842898,0.001844782,0.0028652917,0.00090906944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076073105,0.0011475332,0.9215718,0.00014683997,0.00025019565,0.0012327746,0.0006320063,0.010596275,0.0010134281,0.029512843,0.0012234255,0.03191212],"study_design_scores_gemma":[0.00021417369,0.0014440472,0.8986356,0.00012732878,0.0003213653,0.0008706606,0.0011962585,0.022812314,0.001699987,0.06716707,0.005426942,0.00008418118],"about_ca_topic_score_codex":0.004134102,"about_ca_topic_score_gemma":0.0032216678,"teacher_disagreement_score":0.009308908,"about_ca_system_score_codex":0.0011483385,"about_ca_system_score_gemma":0.00095714297,"threshold_uncertainty_score":0.0311414},"labels":[],"label_agreement":null},{"id":"W3125221553","doi":"10.3386/w11460","title":"The Role of Patents for Bridging the Science to Market Gap","year":2005,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bridging (networking); Computer science; Computer security","score_opus":0.3294901029857475,"score_gpt":0.4515521159411376,"score_spread":0.1220620129553901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125221553","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29725382,0.019133456,0.24888164,0.09479948,0.0006822062,0.00021303607,0.00029097317,0.0003849164,0.33836055],"genre_scores_gemma":[0.9846902,0.0029377667,0.0051020873,0.00095074467,0.0005197061,0.000070575115,0.000021962982,0.00002791115,0.005679138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970872,0.0013670146,0.00011103765,0.0003758161,0.0005842945,0.00047462006],"domain_scores_gemma":[0.95336705,0.03757164,0.004581333,0.0020566278,0.0012962914,0.0011270932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076514436,0.00059781264,0.0011222301,0.0027674932,0.002648409,0.0073474296,0.0014345974,0.007676205,0.018476442],"category_scores_gemma":[0.03141336,0.0005086348,0.0012049674,0.0015717878,0.008722555,0.021849694,0.003524522,0.0039201733,0.001185312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004837545,0.000032139124,0.00069586775,0.00006611932,0.000010598246,0.00014478952,0.0001218068,0.0036310595,0.0003519409,0.98613864,0.00064201513,0.0081166485],"study_design_scores_gemma":[0.000072946736,0.000052763153,0.0008187169,0.00005407836,0.000020950756,0.00018736317,0.0001816984,0.00904652,0.0005322612,0.98012596,0.008881814,0.000024898342],"about_ca_topic_score_codex":0.00079556426,"about_ca_topic_score_gemma":0.0004944915,"teacher_disagreement_score":0.018476442,"about_ca_system_score_codex":0.0030383694,"about_ca_system_score_gemma":0.0029568048,"threshold_uncertainty_score":0.061809897},"labels":[],"label_agreement":null},{"id":"W3125430313","doi":"10.34989/swp-2005-12","title":"Do Exchange Rates Affect the Capital-Labour Ratio? Panel Evidence from Canadian Manufacturing Industries","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Economics; Labour economics; Relative price; Productivity; Capital (architecture); Liberian dollar; Exchange rate; Panel data; Cost of capital; Monetary economics; Econometrics; Human capital; Capital formation; Macroeconomics; Microeconomics; Financial capital; Market economy","score_opus":0.10945232259889486,"score_gpt":0.30094718916850643,"score_spread":0.19149486656961157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125430313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436852,0.007654488,0.00024941727,0.0038511911,0.0000414447,0.000039549443,0.014977659,0.000040766918,0.029460307],"genre_scores_gemma":[0.98715764,0.0034752071,0.00008672574,0.00018039772,0.000016667816,0.0000065300187,0.005472536,0.00000936781,0.0035949459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990677,0.00008939388,0.000060952952,0.00012795487,0.00026863508,0.0003852349],"domain_scores_gemma":[0.9921261,0.0018659744,0.0026919558,0.00038872927,0.002283041,0.00064411544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012214901,0.0004019438,0.00061991165,0.0026500658,0.001063595,0.0027643903,0.00074387016,0.00073324365,0.006786023],"category_scores_gemma":[0.006989752,0.00033634735,0.0006464703,0.0057441923,0.0006487138,0.0008124998,0.00058968185,0.0008490692,0.00091163913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035809533,0.000052364954,0.9644811,0.00018458499,0.00030286936,0.0004738657,0.00090265356,0.0023200817,0.00044123246,0.0028786657,0.0074088275,0.020195609],"study_design_scores_gemma":[0.000012849623,0.000010072722,0.9947748,0.000037682956,0.00007385441,0.000026698826,0.0005590303,0.00042249766,0.000113608985,0.00013201416,0.003820248,0.00001664615],"about_ca_topic_score_codex":0.96926504,"about_ca_topic_score_gemma":0.9766614,"teacher_disagreement_score":0.030734956,"about_ca_system_score_codex":0.007877773,"about_ca_system_score_gemma":0.0056988075,"threshold_uncertainty_score":0.06183189},"labels":[],"label_agreement":null},{"id":"W3125431182","doi":"","title":"Plant Turnover and Productivity Growth in Canadian Manufacturing","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Manufacturing sector; Competition (biology); Total factor productivity; Political science; Welfare economics; Economics; Economy; International economics; Economic growth; Ecology; Biology","score_opus":0.04370343073114168,"score_gpt":0.2528615424414702,"score_spread":0.2091581117103285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125431182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909848,0.0012344641,0.00022431415,0.00058060716,0.000011482644,0.000009761899,0.001897754,0.000021448637,0.005035417],"genre_scores_gemma":[0.99712014,0.0004412946,0.000078938436,0.000026692189,0.0000059185645,0.0000023635985,0.00082540396,0.000003355051,0.0014959503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923825,0.00002810251,0.000016545495,0.00006733564,0.00032995475,0.000319844],"domain_scores_gemma":[0.9967962,0.000343962,0.0008776231,0.00009813093,0.001248484,0.0006355429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081461726,0.00018000157,0.00026340352,0.0029456571,0.0015607495,0.0012958649,0.00063330104,0.00043083052,0.0021742212],"category_scores_gemma":[0.0040708724,0.00015026449,0.00036305218,0.0037100278,0.00065786677,0.00038113617,0.00062806974,0.0006775874,0.00020266263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022670458,0.000047610312,0.95433515,0.00007304716,0.000058970585,0.00037993054,0.0021016225,0.004537503,0.0007913454,0.002406345,0.0045683202,0.030473415],"study_design_scores_gemma":[0.0000045944603,0.000011764364,0.9937575,0.000020324827,0.000011105364,0.000053020656,0.0007608245,0.0024992204,0.00017002114,0.0001330573,0.0025688605,0.000009647513],"about_ca_topic_score_codex":0.97577,"about_ca_topic_score_gemma":0.9842897,"teacher_disagreement_score":0.032792833,"about_ca_system_score_codex":0.032792833,"about_ca_system_score_gemma":0.014290494,"threshold_uncertainty_score":0.23792982},"labels":[],"label_agreement":null},{"id":"W3125445949","doi":"","title":"Kauffman Firm Survey Results from the Baseline and First FollowUp Surveys","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographics; Quarter (Canadian coin); Business; Demographic economics; Survey data collection; Marketing; Economics; Demography; Geography","score_opus":0.08909877526172966,"score_gpt":0.2894078120274763,"score_spread":0.20030903676574663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125445949","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2235782,0.0006357909,0.00082231953,0.0013220435,0.00008581932,0.0006622196,0.74528646,0.00028371104,0.027323484],"genre_scores_gemma":[0.33085188,0.0013211226,0.0014020781,0.0007563525,0.00014510629,0.0015835568,0.63284975,0.000060729868,0.031029426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761754,0.00018871568,0.00023075845,0.00026974175,0.0012490922,0.0004442186],"domain_scores_gemma":[0.9823385,0.0024501123,0.0069281645,0.0009016627,0.0059557576,0.0014256685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020944134,0.00040710502,0.00048037438,0.006686539,0.000505739,0.0008988197,0.0007191162,0.0006636727,0.011267083],"category_scores_gemma":[0.009888698,0.00026144195,0.0004215102,0.006452919,0.00020159494,0.0007643809,0.00067536096,0.00088070065,0.0053556045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022464755,0.000251763,0.5945267,0.0002140756,0.00013215066,0.0001551144,0.00044760088,0.0008269265,0.000272316,0.0009864585,0.37826848,0.023693651],"study_design_scores_gemma":[0.000026830638,0.00005395338,0.9585103,0.000038883776,0.000029863706,0.00009870784,0.00035216298,0.00020328072,0.00010129718,0.00012696427,0.04043208,0.00002564591],"about_ca_topic_score_codex":0.08171013,"about_ca_topic_score_gemma":0.0780074,"teacher_disagreement_score":0.08171013,"about_ca_system_score_codex":0.0017409705,"about_ca_system_score_gemma":0.0021884588,"threshold_uncertainty_score":0.16246903},"labels":[],"label_agreement":null},{"id":"W3125475544","doi":"","title":"The Impact of Self-employment on Labour-productivity Growth: A Canada and United States Comparison","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Self-employment; Labour economics; Economics; Demographic economics; Entrepreneurship; Economic growth","score_opus":0.04183095450504997,"score_gpt":0.3000683276305479,"score_spread":0.25823737312549794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125475544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317716,0.0048317267,0.00018299253,0.0044332687,0.00006995958,0.000035575715,0.0036571017,0.000033060558,0.054984797],"genre_scores_gemma":[0.99199355,0.002469852,0.0001345902,0.00023716954,0.00001506368,0.000008106253,0.001254993,0.000010624438,0.0038760724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838376,0.000094061405,0.00003269067,0.00008672519,0.0006820996,0.00072066614],"domain_scores_gemma":[0.99555486,0.00033349244,0.00025332012,0.00007366919,0.003042595,0.0007420872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034176,0.0002887906,0.0004635462,0.0033553378,0.0029011418,0.0024020644,0.0006521577,0.00052352913,0.0038295006],"category_scores_gemma":[0.004027957,0.00011684011,0.0005579697,0.007305129,0.0009319977,0.00073684484,0.001478038,0.00081888266,0.00020695594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010751857,0.00024695287,0.81676304,0.00026821697,0.000245586,0.00088036933,0.0067426013,0.0046463953,0.0010069851,0.024734274,0.023689285,0.119701184],"study_design_scores_gemma":[0.000025660527,0.000048489368,0.97668606,0.00007022631,0.000084816944,0.000086773514,0.004963872,0.0011644554,0.0004170964,0.0005159664,0.015904756,0.000031763975],"about_ca_topic_score_codex":0.9963889,"about_ca_topic_score_gemma":0.9982168,"teacher_disagreement_score":0.049537215,"about_ca_system_score_codex":0.049537215,"about_ca_system_score_gemma":0.062145542,"threshold_uncertainty_score":0.3594193},"labels":[],"label_agreement":null},{"id":"W3125479221","doi":"","title":"Catching a Wave: the Adoption of Voice and High Commitment Workplace Practices in Britain: 1984-1998","year":2005,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Leverhulme Trust","keywords":"Order (exchange); Business; Human resource management; Set (abstract data type); Marketing; Industrial organization; Knowledge management; Finance; Computer science","score_opus":0.09707009517399634,"score_gpt":0.364411235343586,"score_spread":0.26734114016958965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125479221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966324,0.0006647751,0.00015692314,0.0003284503,0.000011701179,0.0000086965065,0.000621163,0.000004612042,0.001571313],"genre_scores_gemma":[0.9942345,0.00044455432,0.000089776535,0.000058782523,0.000017010414,0.000011339204,0.0008626039,0.0000054887228,0.004275875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990471,0.0001964101,0.0000757479,0.00014606836,0.0003180747,0.00021656539],"domain_scores_gemma":[0.9924914,0.0018037914,0.003139493,0.00030322015,0.00134006,0.00092211977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011743546,0.00018083678,0.00033126253,0.0015193954,0.0004618854,0.0009411572,0.00056434056,0.00065704685,0.0028466838],"category_scores_gemma":[0.005582789,0.0002775431,0.000150839,0.0030385703,0.0006155998,0.0008753013,0.0013375016,0.001198255,0.0009033749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033931574,0.00019902366,0.94497806,0.00011694085,0.000053083426,0.0002855865,0.009945467,0.00035796646,0.0006993787,0.0005884747,0.002383551,0.040053125],"study_design_scores_gemma":[0.0000031355594,0.000026356347,0.99779934,0.0000121088215,0.000004200943,0.00002186796,0.0008549524,0.00008050095,0.000050095132,0.000021552882,0.0011224669,0.0000032565658],"about_ca_topic_score_codex":0.12087844,"about_ca_topic_score_gemma":0.18536223,"teacher_disagreement_score":0.12087844,"about_ca_system_score_codex":0.0016433375,"about_ca_system_score_gemma":0.00055612257,"threshold_uncertainty_score":0.24034971},"labels":[],"label_agreement":null},{"id":"W3125510593","doi":"10.1111/j.1468-0351.2008.00322.x","title":"The impact of China's millennium labour restructuring program on firm performance and employee earnings<sup>1</sup>","year":2008,"lang":"en","type":"article","venue":"Economics of Transition","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Restructuring; China; Total factor productivity; Earnings; Labour economics; Productivity; Economics; Profit (economics); Business; Market economy; Finance; Macroeconomics","score_opus":0.01582755335895653,"score_gpt":0.21427465564514955,"score_spread":0.19844710228619303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125510593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984384,0.000068814916,0.000039042803,0.0001713273,0.0000046656305,0.000006949516,0.00055633945,0.000005581043,0.0007089514],"genre_scores_gemma":[0.9988544,0.000030933737,0.000017315588,0.000018045863,0.0000065075105,0.0000037825896,0.0008103082,6.063726e-7,0.00025807275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995246,0.000075932265,0.000024489842,0.000046703037,0.000109035485,0.00021925534],"domain_scores_gemma":[0.99659747,0.0005177989,0.0014283366,0.0001385368,0.0005251751,0.0007926339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011757403,0.00019392633,0.0002207568,0.00078048126,0.00035489738,0.0006788397,0.0003101622,0.00026845213,0.0013301268],"category_scores_gemma":[0.00262286,0.00005601554,0.00025665163,0.0008774946,0.0002604443,0.00030880317,0.0005148148,0.00035998845,0.00014685525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013248286,0.0000866051,0.988311,0.00001736442,0.000049191796,0.000104571955,0.000096315795,0.0013368072,0.00025119047,0.00026089177,0.0010850916,0.008268419],"study_design_scores_gemma":[0.0000033514052,0.000034572415,0.9986847,0.0000024698568,0.000008708833,0.0000049664036,0.00009697701,0.0007789737,0.000095077274,0.000025141631,0.0002631178,0.0000019199783],"about_ca_topic_score_codex":0.048274174,"about_ca_topic_score_gemma":0.077419035,"teacher_disagreement_score":0.048274174,"about_ca_system_score_codex":0.0012306636,"about_ca_system_score_gemma":0.0016381558,"threshold_uncertainty_score":0.095986366},"labels":[],"label_agreement":null},{"id":"W3125529544","doi":"","title":"Firm Learning and Growth","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Welfare; Productivity; Economics; Subsidy; Matching (statistics); Growth model; General equilibrium theory; Microeconomics; Learning-by-doing; Econometrics; Industrial organization; Macroeconomics; Production (economics); Mathematics; Statistics","score_opus":0.061595605160300146,"score_gpt":0.303078385769194,"score_spread":0.24148278060889383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125529544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8341151,0.007978081,0.039384376,0.008885452,0.00010257978,0.000059657683,0.0011908619,0.00022503626,0.10805876],"genre_scores_gemma":[0.99327105,0.0014958176,0.0008757676,0.00010196592,0.000049161423,0.000010817308,0.000116110954,0.000010193222,0.004069225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99966645,0.000081149614,0.000012402019,0.00008073817,0.000035604073,0.00012361525],"domain_scores_gemma":[0.99552554,0.0022303807,0.001379396,0.00023892164,0.00026394436,0.00036177953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009793362,0.00048245818,0.00050638994,0.00079921755,0.00081586343,0.0028441835,0.00048570024,0.0014573128,0.0073083793],"category_scores_gemma":[0.0066790055,0.00016163856,0.00040245568,0.0012721573,0.00135378,0.002579839,0.0011393337,0.0013197882,0.0006880698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002370657,0.00030726776,0.07758013,0.00033009786,0.00007558263,0.00090196927,0.0008564852,0.14175454,0.0018070079,0.6632126,0.0061359005,0.10680137],"study_design_scores_gemma":[0.0000888953,0.00020394496,0.03990646,0.00017186766,0.00006551716,0.00027071463,0.0010983085,0.16497602,0.0016359184,0.77098185,0.020535043,0.000065442975],"about_ca_topic_score_codex":0.009819742,"about_ca_topic_score_gemma":0.007062133,"teacher_disagreement_score":0.009819742,"about_ca_system_score_codex":0.0028168769,"about_ca_system_score_gemma":0.0008118245,"threshold_uncertainty_score":0.02444899},"labels":[],"label_agreement":null},{"id":"W3125530647","doi":"","title":"Firm Turnover and Productivity Growth in the Canadian Retail Trade Sector","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Business; Labour economics; Retail trade; Manufacturing sector; Market share; Industrial organization; Monetary economics; Economics; Commerce; Marketing","score_opus":0.06634041268588986,"score_gpt":0.2626914652019417,"score_spread":0.19635105251605184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125530647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808318,0.0018026512,0.000329154,0.00076196616,0.000018387584,0.000016487604,0.0037169654,0.00003876252,0.012483755],"genre_scores_gemma":[0.99617165,0.0005508345,0.00006504287,0.000025762407,0.000008085408,0.0000030828755,0.0013146861,0.000005447199,0.0018554834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985524,0.00007800382,0.000036985104,0.00012259606,0.000557952,0.0006520475],"domain_scores_gemma":[0.9923942,0.0009899812,0.001527137,0.00024561098,0.0037371514,0.0011057971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011010199,0.00024727482,0.0002809876,0.0046336665,0.0015316576,0.002418431,0.0007448242,0.00047521156,0.002779558],"category_scores_gemma":[0.008403531,0.00017240955,0.00036982156,0.007032087,0.00077901,0.0008048686,0.00083963876,0.00075335137,0.0004271841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027238813,0.00006502879,0.9520579,0.00005971249,0.00006982282,0.000304328,0.0020712873,0.0044111167,0.00041255742,0.0034688774,0.0063472087,0.030459888],"study_design_scores_gemma":[0.0000061237342,0.000012615817,0.9908359,0.000024961912,0.000014376093,0.000048808117,0.0014513663,0.0035037356,0.00016849748,0.0002677375,0.0036500222,0.000015802636],"about_ca_topic_score_codex":0.9765761,"about_ca_topic_score_gemma":0.9763777,"teacher_disagreement_score":0.032880448,"about_ca_system_score_codex":0.032880448,"about_ca_system_score_gemma":0.013065614,"threshold_uncertainty_score":0.23856544},"labels":[],"label_agreement":null},{"id":"W3125574485","doi":"10.1093/rof/rfz007","title":"Are US Industries Becoming More Concentrated?","year":2019,"lang":"en","type":"article","venue":"European Finance Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":678,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market power; Shareholder; Market concentration; Profit margin; Profit (economics); Competition (biology); Product market; Monetary economics; Market share; Business; Industrial organization; Economics; Market structure; Market economy; Microeconomics; Finance; Corporate governance; Monopoly","score_opus":0.06420849712975969,"score_gpt":0.24603362150852942,"score_spread":0.18182512437876974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125574485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515154,0.014302617,0.00036114102,0.01103135,0.00008530059,0.000012474594,0.00084701495,0.000023462877,0.021821354],"genre_scores_gemma":[0.9926602,0.0049617267,0.00008853791,0.00078903046,0.00022235897,0.000004188575,0.00036079655,0.0000038006233,0.00090943574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928075,0.00014009143,0.000050461444,0.00013747657,0.00020581564,0.00018534179],"domain_scores_gemma":[0.99430424,0.0006654412,0.00326889,0.0001361525,0.00094459107,0.00068058824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007435516,0.00011992222,0.00027607998,0.0028601082,0.00032624506,0.002085636,0.0003143993,0.00074293115,0.005250123],"category_scores_gemma":[0.0035368055,0.00010354549,0.00021485823,0.0054176603,0.0009294491,0.0012349131,0.0008202349,0.00042370497,0.00052286533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017384879,0.000100511235,0.8449855,0.0004500848,0.00019864211,0.00097015104,0.0019829227,0.0010154189,0.0020641512,0.012560994,0.018433139,0.11706473],"study_design_scores_gemma":[0.0000079521005,0.00004531841,0.9784272,0.00017481447,0.00003178633,0.00048408544,0.002271257,0.00023693124,0.0004172319,0.001989801,0.015905628,0.000007981268],"about_ca_topic_score_codex":0.009669572,"about_ca_topic_score_gemma":0.011353753,"teacher_disagreement_score":0.009669572,"about_ca_system_score_codex":0.00084043795,"about_ca_system_score_gemma":0.00062991615,"threshold_uncertainty_score":0.019226551},"labels":[],"label_agreement":null},{"id":"W3125638549","doi":"","title":"Impact of the Adoption of Advanced Information and Communication Technologies on Firm Performance in the Canadian Manufacturing Sector","year":2001,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Profitability index; Information and Communications Technology; Industrial organization; Market share; Panel data; Business; Information technology; Emerging technologies; Population; Process (computing); Marketing; Economics; Econometrics; Economic growth; Computer science","score_opus":0.08548340463747371,"score_gpt":0.32431571157423844,"score_spread":0.23883230693676472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125638549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469477,0.00032435678,0.00008379843,0.0003824132,0.000005049679,0.000009270454,0.00039883688,0.000011807272,0.004089696],"genre_scores_gemma":[0.9990196,0.00014829323,0.000046210644,0.00001879341,0.000002570336,0.0000014729487,0.00022994971,0.000001334931,0.00053161295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979684,0.00024554055,0.00006078053,0.00015231686,0.0008850354,0.0006879049],"domain_scores_gemma":[0.99139297,0.0019917926,0.00164858,0.00023095084,0.003021479,0.0017142503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013414129,0.00027470913,0.0002949529,0.0012844274,0.0010117461,0.002106028,0.0006497019,0.00050791487,0.0015115947],"category_scores_gemma":[0.009085711,0.00013166103,0.0003154769,0.0024069864,0.00093498436,0.0006574528,0.0009124094,0.0007469118,0.00023185789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020776277,0.00016922597,0.9590218,0.000044489472,0.00010236477,0.0002262527,0.00053959346,0.008892325,0.0010611723,0.0012384822,0.0010230368,0.027473366],"study_design_scores_gemma":[0.000004189508,0.00005381367,0.99559975,0.000009567445,0.00001792333,0.000017890678,0.00057540677,0.0026968275,0.00020183524,0.00005358951,0.00075697317,0.00001228032],"about_ca_topic_score_codex":0.9578082,"about_ca_topic_score_gemma":0.9620418,"teacher_disagreement_score":0.042191803,"about_ca_system_score_codex":0.020536082,"about_ca_system_score_gemma":0.0153893195,"threshold_uncertainty_score":0.1490004},"labels":[],"label_agreement":null},{"id":"W3125715379","doi":"","title":"Determinants of Innovative Activity in Canadian Manufacturing Firms: The Role of Intellectual Property Rights","year":2000,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Competition (biology); Business; Industrial organization; Manufacturing sector; Marketing; Economics; International economics","score_opus":0.07772660039684329,"score_gpt":0.3207904559959925,"score_spread":0.2430638555991492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125715379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97574663,0.0013403355,0.0002794397,0.0022466837,0.000017582148,0.000044606684,0.0009528829,0.000015640642,0.01935625],"genre_scores_gemma":[0.9976907,0.00040105483,0.00013470484,0.00005443923,0.0000072309817,0.000005406611,0.00027566458,0.0000021866779,0.0014286303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822885,0.00009789436,0.00005860107,0.0001256974,0.0008583978,0.0006306139],"domain_scores_gemma":[0.9917903,0.0017603555,0.0021261459,0.00021680833,0.0022663516,0.0018400487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014343166,0.00025899248,0.0003410994,0.0032291184,0.002734629,0.002441801,0.001222868,0.0007025091,0.0041242153],"category_scores_gemma":[0.008119634,0.00014395715,0.00076068216,0.0049228445,0.0015026904,0.00079668855,0.0010754685,0.0009177317,0.00022430213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060084363,0.000082335515,0.9701635,0.00007778171,0.000061160004,0.0002844719,0.0013540193,0.0014341347,0.00036545485,0.0045295726,0.0014420913,0.020145396],"study_design_scores_gemma":[0.000005531694,0.000020350286,0.992896,0.00004355959,0.000029997,0.000050127648,0.0014920769,0.0012171092,0.00013421867,0.00032360476,0.00377015,0.00001719461],"about_ca_topic_score_codex":0.9800238,"about_ca_topic_score_gemma":0.98641914,"teacher_disagreement_score":0.029810341,"about_ca_system_score_codex":0.029810341,"about_ca_system_score_gemma":0.035219803,"threshold_uncertainty_score":0.21629018},"labels":[],"label_agreement":null},{"id":"W3125720174","doi":"","title":"Incidence du commerce international sur les salaires des Canadiens","year":2001,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.19450541357795964,"score_gpt":0.3517898745065011,"score_spread":0.15728446092854148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125720174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97960556,0.001711035,0.000276075,0.00037675005,0.000024432211,0.000012155691,0.0024369496,0.00001430655,0.015542845],"genre_scores_gemma":[0.9912424,0.0016329953,0.00030733136,0.000045936074,0.00002115956,0.00001818616,0.0013176473,0.000007827858,0.0054064873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991021,0.00013937285,0.000057183064,0.00014826727,0.00031096907,0.00024214484],"domain_scores_gemma":[0.99121207,0.0027563758,0.0031975117,0.0003869928,0.0016673951,0.00077967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010678036,0.00019092874,0.0002573225,0.0039537544,0.0006308501,0.0014203334,0.00041365233,0.0002887449,0.0073559033],"category_scores_gemma":[0.005578957,0.00010240731,0.0002799418,0.0066184113,0.0005915962,0.0006788416,0.00096472184,0.00055979897,0.00051140314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005538498,0.000026288411,0.9721425,0.000075736374,0.000046453675,0.000096129035,0.0018839038,0.00018237719,0.00028681426,0.0013440594,0.0005637014,0.023296697],"study_design_scores_gemma":[8.1730684e-7,0.00003434189,0.9908929,0.000035614008,0.000022144623,0.00006901711,0.0022568835,0.00010982951,0.00020428219,0.00011891732,0.0062476913,0.000007521248],"about_ca_topic_score_codex":0.112445585,"about_ca_topic_score_gemma":0.21663937,"teacher_disagreement_score":0.8875544,"about_ca_system_score_codex":0.0016200737,"about_ca_system_score_gemma":0.001452755,"threshold_uncertainty_score":0.22358215},"labels":[],"label_agreement":null},{"id":"W3125748855","doi":"","title":"Four Decades of Creative Destruction: Renewing Canada's Manufacturing Base from 1961-1999","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Base (topology); Business; Mathematics","score_opus":0.05079877406496959,"score_gpt":0.2684424032432078,"score_spread":0.2176436291782382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125748855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94743913,0.005007062,0.0002505425,0.0038244508,0.0000649204,0.000040463747,0.01519844,0.000036220656,0.028138706],"genre_scores_gemma":[0.9867517,0.0016654632,0.00014121384,0.00021631933,0.000033090924,0.000009406183,0.0045931023,0.000007530985,0.0065821647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899143,0.000023477169,0.000029193827,0.000086887616,0.00043244526,0.0004366457],"domain_scores_gemma":[0.9948797,0.00030711913,0.0010563269,0.00013255543,0.00258229,0.0010419295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008040427,0.0003142923,0.0003294635,0.0037224037,0.003566091,0.0034258983,0.00089375983,0.00084106845,0.0030599006],"category_scores_gemma":[0.004352421,0.00017655076,0.00028605116,0.0065860674,0.0014809022,0.0012061502,0.0016261572,0.001157783,0.00031155124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006196715,0.000109112945,0.86934555,0.00028024247,0.00016848266,0.0006225256,0.008303088,0.0033566311,0.0010538342,0.007588096,0.02206824,0.086484574],"study_design_scores_gemma":[0.0000065350605,0.000021366684,0.9732289,0.00007853707,0.000024668188,0.00006911314,0.002840915,0.00039470627,0.00038638373,0.00015328728,0.022776091,0.000019555799],"about_ca_topic_score_codex":0.98888725,"about_ca_topic_score_gemma":0.9943435,"teacher_disagreement_score":0.048401214,"about_ca_system_score_codex":0.048401214,"about_ca_system_score_gemma":0.04334879,"threshold_uncertainty_score":0.35117704},"labels":[],"label_agreement":null},{"id":"W3125829638","doi":"","title":"Are Knowledge Workers Found Only in High-technology Industries?","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization","score_opus":0.06738011553239669,"score_gpt":0.30802795211825695,"score_spread":0.24064783658586025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125829638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303115,0.0019856368,0.0002802775,0.00474285,0.0000744107,0.000016732503,0.00066338386,0.00001073852,0.00919475],"genre_scores_gemma":[0.9915172,0.001477082,0.00012965582,0.0011082785,0.00009169858,0.000010894436,0.00023291731,0.000007407675,0.0054248716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985354,0.00010243715,0.000035048102,0.00021622298,0.00031070167,0.0008003124],"domain_scores_gemma":[0.9884858,0.0031468775,0.0035970083,0.0006285408,0.0016604813,0.0024813027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013195417,0.00016063647,0.0006580913,0.0025777684,0.0023443566,0.0029650058,0.0011184308,0.0014101202,0.009726276],"category_scores_gemma":[0.010398732,0.00033691217,0.00018739281,0.0038514028,0.002203346,0.0023480488,0.00072665646,0.0008831927,0.0015198918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014648431,0.00018839314,0.942572,0.00009893548,0.000034093926,0.00039085117,0.0057810987,0.000058276823,0.00057853287,0.0014259834,0.0043652155,0.04436016],"study_design_scores_gemma":[0.00003267425,0.000088743225,0.94817793,0.00020655566,0.00006942206,0.0005837455,0.03505493,0.00014052985,0.0006618669,0.0031858038,0.011770406,0.000027299759],"about_ca_topic_score_codex":0.28372645,"about_ca_topic_score_gemma":0.42904904,"teacher_disagreement_score":0.28372645,"about_ca_system_score_codex":0.0022942699,"about_ca_system_score_gemma":0.0038354013,"threshold_uncertainty_score":0.56415},"labels":[],"label_agreement":null},{"id":"W3125901480","doi":"10.20381/ruor-24600","title":"Regional Productivity Convergence: An Analysis of the Pulp and Paper Industries in U.S., Canada, Finland, and Sweden","year":2017,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Productivity; Convergence (economics); Agricultural economics; Economic geography; Economy; Economics; Geography; International trade; Business; Economic growth","score_opus":0.11518055802673124,"score_gpt":0.27805762801865985,"score_spread":0.1628770699919286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125901480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938099,0.0013681907,0.00019368556,0.000096525,0.000004766021,0.000014439415,0.0021696433,0.00001184067,0.002331035],"genre_scores_gemma":[0.993618,0.0007057712,0.00022457946,0.000023380793,0.0000057223374,0.000008883552,0.0047050742,0.000005831417,0.00070278975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989243,0.000055245007,0.00004988877,0.0001753581,0.0003267191,0.00046838218],"domain_scores_gemma":[0.9967373,0.0002703966,0.0005413492,0.00008999369,0.001855666,0.0005053634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292995,0.0003634894,0.0005675813,0.008039204,0.0013979998,0.0015492913,0.0005847706,0.0003496347,0.0011518416],"category_scores_gemma":[0.00330249,0.00016467276,0.00080988824,0.013403395,0.0005774975,0.00058043626,0.0012760394,0.00038180224,0.00023221252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009663332,0.000023213857,0.9836199,0.000060167673,0.00017511421,0.0005134208,0.0014873277,0.0020728956,0.00032671806,0.0006304452,0.0009494143,0.010044764],"study_design_scores_gemma":[0.0000021784278,0.000011667887,0.9951102,0.000024818839,0.00004667747,0.00008959898,0.0020376714,0.00079153484,0.00015742217,0.000049240098,0.0016699671,0.000008973413],"about_ca_topic_score_codex":0.9433824,"about_ca_topic_score_gemma":0.9449179,"teacher_disagreement_score":0.056617618,"about_ca_system_score_codex":0.007883133,"about_ca_system_score_gemma":0.012900851,"threshold_uncertainty_score":0.11390203},"labels":[],"label_agreement":null},{"id":"W3125917380","doi":"","title":"Innovation et participation aux marches d'exportation chez les entreprises du secteur canadien de la fabrication","year":2016,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Exportation; Mathematics; Art","score_opus":0.15047147441120806,"score_gpt":0.3737989841383964,"score_spread":0.22332750972718834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125917380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98371214,0.00029665185,0.0002868809,0.00024140615,0.000009901228,0.000021345026,0.00008154481,0.0000060677107,0.015344146],"genre_scores_gemma":[0.93243515,0.00075918896,0.00089707965,0.0001013526,0.000009912272,0.000038545342,0.00018144654,0.0000075664893,0.065569706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939334,0.00012569147,0.000013584468,0.00008593382,0.0001860154,0.00019543427],"domain_scores_gemma":[0.9982368,0.0006185384,0.00034235982,0.00008005283,0.00035028553,0.00037195004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011230279,0.0002754747,0.00018197214,0.0007947607,0.0017857882,0.0017563266,0.0003878568,0.0005097521,0.014333869],"category_scores_gemma":[0.0019526073,0.0001701011,0.00028179432,0.0010174691,0.0007119129,0.00062707183,0.0010502352,0.0006379238,0.0011863773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068871747,0.0005980857,0.5226517,0.00047018728,0.00008993644,0.0036308337,0.19576466,0.0010960848,0.034444354,0.011194317,0.00405629,0.22531484],"study_design_scores_gemma":[0.000019157791,0.0008033838,0.78051287,0.00017631834,0.000046277157,0.0005768644,0.10389636,0.0005663087,0.0040277448,0.00074476295,0.108573526,0.00005643029],"about_ca_topic_score_codex":0.039238125,"about_ca_topic_score_gemma":0.121782094,"teacher_disagreement_score":0.9607619,"about_ca_system_score_codex":0.002417856,"about_ca_system_score_gemma":0.0022400324,"threshold_uncertainty_score":0.07801944},"labels":[],"label_agreement":null},{"id":"W3125953009","doi":"10.2139/ssrn.3146679","title":"Strong Employers and Weak Employees: How Does Employer Concentration Affect Wages?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Affect (linguistics); Labour economics; Business; Demographic economics; Economics; Psychology","score_opus":0.01683756513417508,"score_gpt":0.23075505481812622,"score_spread":0.21391748968395113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125953009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937389,0.00067031285,0.0001445487,0.0025066857,0.000030174366,0.000004368395,0.000076666,0.0000021818666,0.002826226],"genre_scores_gemma":[0.9989604,0.00008054353,0.000025173982,0.00012311206,0.00002188996,0.0000025573966,0.00003205108,0.0000019216332,0.0007522874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984957,0.00063242955,0.000060661238,0.0001842145,0.00018803816,0.00043885602],"domain_scores_gemma":[0.97201824,0.018789247,0.0038043726,0.0004807064,0.0007442834,0.004163211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893715,0.00017275497,0.0005992742,0.00061476894,0.0009889934,0.0028894397,0.00071719644,0.0024793337,0.00853425],"category_scores_gemma":[0.015503568,0.00028807257,0.0004168484,0.00086825853,0.0013072498,0.0015111335,0.0014859084,0.0016987385,0.00095482083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005828804,0.00048105733,0.98024356,0.000041284646,0.00019408838,0.00020528988,0.0020353785,0.00044208678,0.00043415753,0.0017253106,0.0010353902,0.012579482],"study_design_scores_gemma":[0.000022211387,0.00009899175,0.9908065,0.000033244938,0.00008797769,0.000059447044,0.0054783,0.00049993716,0.00015454886,0.0020215495,0.00072306837,0.000014223423],"about_ca_topic_score_codex":0.0081831245,"about_ca_topic_score_gemma":0.011472322,"teacher_disagreement_score":0.00853425,"about_ca_system_score_codex":0.0006187072,"about_ca_system_score_gemma":0.0005801243,"threshold_uncertainty_score":0.02854991},"labels":[],"label_agreement":null},{"id":"W3126010091","doi":"","title":"Does Organizational Innovation Moderate Technical Innovation Directly or Indirectly","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Endogeneity; Context (archaeology); Divergence (linguistics); Productivity; Organizational performance; Knowledge management; Organizational learning; Control (management); Industrial organization; Innovation management; Structural equation modeling; Business; Economics; Econometrics; Computer science; Mathematics; Statistics; Management","score_opus":0.016967601477818207,"score_gpt":0.22434913082420013,"score_spread":0.20738152934638193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126010091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96928734,0.0010216525,0.0039387587,0.0016010858,0.00008404504,0.00003210955,0.0002939882,0.00005327723,0.023687841],"genre_scores_gemma":[0.9968561,0.00025081134,0.00055606815,0.00017341477,0.000052608022,0.000015953345,0.00011308662,0.0000126788955,0.0019692453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971597,0.0010324175,0.000152981,0.000552574,0.0004636924,0.0006385586],"domain_scores_gemma":[0.9561078,0.031055972,0.006710123,0.0022968391,0.0013419881,0.002487201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039320407,0.00032977463,0.0006230165,0.000864474,0.00041816835,0.0027329403,0.000509059,0.0013643327,0.009654638],"category_scores_gemma":[0.018100955,0.00020161552,0.0012836214,0.0009876762,0.0012806504,0.0016999356,0.0016374617,0.0009077157,0.0010278373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090503925,0.0008072925,0.901569,0.0007108017,0.0012220233,0.00043862525,0.002243305,0.006719975,0.0066223084,0.031742286,0.002361081,0.04465825],"study_design_scores_gemma":[0.00009603887,0.0007365793,0.9439264,0.00025249936,0.0009320154,0.00017451815,0.0018888555,0.006457422,0.0033691793,0.030421993,0.011680537,0.0000639425],"about_ca_topic_score_codex":0.0027856182,"about_ca_topic_score_gemma":0.0026323688,"teacher_disagreement_score":0.009654638,"about_ca_system_score_codex":0.00090077025,"about_ca_system_score_gemma":0.0013832038,"threshold_uncertainty_score":0.03229797},"labels":[],"label_agreement":null},{"id":"W3127635093","doi":"10.3390/jrfm14020064","title":"Small and Medium-Sized Enterprises, Business Demography and European Socio-Economic Model: Does the Paradigm Really Converge?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"European union; Convergence (economics); Productivity; Economic geography; Econometric model; Business model; Economics; Business; Economic growth; Marketing; International trade; Econometrics","score_opus":0.011873229005384966,"score_gpt":0.18488613957284533,"score_spread":0.17301291056746038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127635093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9405564,0.0053303796,0.01072464,0.006031276,0.00011862687,0.000049109974,0.00028515595,0.00001900892,0.036885332],"genre_scores_gemma":[0.9969585,0.0010332442,0.0013524358,0.000120202574,0.000018103365,0.000016601081,0.000118429896,0.0000048336974,0.00037773044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985286,0.0008044751,0.000075548975,0.0001998399,0.00024103868,0.00015039615],"domain_scores_gemma":[0.99717075,0.0013045897,0.0005838613,0.00029353282,0.0003547421,0.00029249917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031037545,0.00019463358,0.000353036,0.0018019635,0.00066215603,0.0030770001,0.000451273,0.0005745868,0.0011376635],"category_scores_gemma":[0.0060161403,0.00007289853,0.00034777043,0.002693534,0.002098847,0.003559511,0.0018170038,0.00075976213,0.0001626649],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025824006,0.00021237074,0.37367857,0.00036058773,0.00018068012,0.00085007655,0.031385623,0.004955933,0.0006696347,0.4193916,0.0030028324,0.16505384],"study_design_scores_gemma":[0.000020877806,0.00025380074,0.6832976,0.00081476197,0.000072364666,0.000742613,0.06331914,0.011328952,0.00052949006,0.18605761,0.05346188,0.00010090982],"about_ca_topic_score_codex":0.003374107,"about_ca_topic_score_gemma":0.0028978651,"teacher_disagreement_score":0.003374107,"about_ca_system_score_codex":0.0015922126,"about_ca_system_score_gemma":0.0012569274,"threshold_uncertainty_score":0.016414404},"labels":[],"label_agreement":null},{"id":"W3127912321","doi":"10.1016/b978-0-12-804288-5.00011-8","title":"Binary start-up demonstration tests","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"History","score_opus":0.039134135337881376,"score_gpt":0.225644235220512,"score_spread":0.18651009988263062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127912321","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15307917,0.0017937862,0.3885839,0.004214142,0.0018197626,0.00044686647,0.0063667214,0.0057659657,0.43792972],"genre_scores_gemma":[0.78404623,0.00058444915,0.08396629,0.00062643725,0.0007387933,0.0006632575,0.006527047,0.0008443627,0.12200307],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99666035,0.0017624381,0.00013299838,0.00034695579,0.0008025726,0.00029478208],"domain_scores_gemma":[0.9663748,0.026280044,0.0009582605,0.0035321086,0.0019730923,0.00088167953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004663434,0.00093064405,0.0010685434,0.0011706705,0.0007080275,0.0018618,0.0015724711,0.0014133435,0.081259824],"category_scores_gemma":[0.032324698,0.0003491314,0.00063454197,0.0013723791,0.001111413,0.0029146136,0.0023037428,0.001893096,0.012270125],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024893803,0.0011341067,0.0069869584,0.0005538805,0.00008640525,0.0003105485,0.00033225352,0.017268555,0.0035124174,0.3920412,0.1256908,0.44959354],"study_design_scores_gemma":[0.0014223112,0.0018705353,0.0157665,0.00049016176,0.00013691667,0.000549497,0.0004163418,0.19756919,0.013694551,0.6552998,0.11261001,0.00017427142],"about_ca_topic_score_codex":0.0008204112,"about_ca_topic_score_gemma":0.00124205,"teacher_disagreement_score":0.081259824,"about_ca_system_score_codex":0.00083863956,"about_ca_system_score_gemma":0.0007239328,"threshold_uncertainty_score":0.27184117},"labels":[],"label_agreement":null},{"id":"W3128467431","doi":"","title":"Quels risques pour la jeune entreprise en phase de croissance ? Une analyse exploratoire des facteurs structurants d'un développement pérenne","year":2012,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.032865930386767404,"score_gpt":0.25752008552171185,"score_spread":0.22465415513494444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128467431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794377,0.0037813096,0.0009347556,0.0048447726,0.000042415322,0.000016490427,0.0005117266,0.00002236201,0.010408356],"genre_scores_gemma":[0.99541557,0.0010987096,0.00029045655,0.00012538214,0.000069391856,0.000009615558,0.0001595321,0.000014766546,0.002816618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982828,0.0004945646,0.000112125876,0.000307247,0.0004072567,0.00039606352],"domain_scores_gemma":[0.9717254,0.015993372,0.007365691,0.0008196661,0.0021771735,0.001918672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034720334,0.0003758298,0.0006094446,0.0028261675,0.00084073714,0.0059371986,0.0008008376,0.0018363275,0.012741775],"category_scores_gemma":[0.020808494,0.00035290275,0.00072729774,0.0026957262,0.0014032666,0.0047106408,0.0014047314,0.0021009222,0.0012584591],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056122406,0.00017280596,0.93578315,0.00017474477,0.00033104152,0.00067783624,0.004881085,0.0011352542,0.00073587976,0.012985669,0.0010656231,0.04149571],"study_design_scores_gemma":[0.000020507594,0.00019022841,0.9627483,0.00024907233,0.00025578655,0.000724808,0.012371832,0.00176093,0.0007414489,0.010518423,0.010375398,0.00004327081],"about_ca_topic_score_codex":0.014235086,"about_ca_topic_score_gemma":0.015341818,"teacher_disagreement_score":0.014235086,"about_ca_system_score_codex":0.0015026883,"about_ca_system_score_gemma":0.001860697,"threshold_uncertainty_score":0.042625487},"labels":[],"label_agreement":null},{"id":"W3128566002","doi":"10.1080/19186444.2021.1873715","title":"Firm-specific antecedents affecting product diversification: evidence from India","year":2021,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Tobit model; Business; Industrial organization; Regression analysis; Marketing; Economics; Econometrics; Statistics","score_opus":0.12046838287820068,"score_gpt":0.2717123498532961,"score_spread":0.15124396697509546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128566002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96421635,0.028603993,0.00010164106,0.00068004645,0.00001792744,0.000010820187,0.00057676714,0.0000059960826,0.0057864995],"genre_scores_gemma":[0.98905796,0.010239067,0.000060538183,0.00007060096,0.000018783583,0.0000022995798,0.0003177869,0.0000014552355,0.00023151306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942905,0.00015272437,0.00006903175,0.0000928712,0.0001560515,0.000100277706],"domain_scores_gemma":[0.98515815,0.006618862,0.005280301,0.0005834016,0.0017877489,0.0005714583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014175011,0.00017152983,0.00028989124,0.002724393,0.0003574455,0.0015751206,0.000301338,0.00034305005,0.0018945795],"category_scores_gemma":[0.0052026017,0.00012417408,0.00049196306,0.0063289334,0.00076750416,0.0005992785,0.0007020399,0.00044530418,0.00015805176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022098694,0.00010485308,0.9683871,0.0006534278,0.0006630845,0.00041963236,0.00056434626,0.00046733575,0.00056579727,0.0011789973,0.0009877085,0.025786689],"study_design_scores_gemma":[0.0000056763897,0.00003832921,0.9969367,0.00006549433,0.00031594108,0.00008850032,0.0004965775,0.00005424888,0.00012869587,0.0001550982,0.0017107719,0.000004107172],"about_ca_topic_score_codex":0.019853912,"about_ca_topic_score_gemma":0.034833208,"teacher_disagreement_score":0.019853912,"about_ca_system_score_codex":0.0005899919,"about_ca_system_score_gemma":0.0013204437,"threshold_uncertainty_score":0.039476693},"labels":[],"label_agreement":null},{"id":"W3131513784","doi":"10.2139/ssrn.3660991","title":"Small Business Survival Capabilities and Policy Effectiveness: Evidence from Oakland","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Business; Small business; Economics; Actuarial science; Finance","score_opus":0.04377568797865247,"score_gpt":0.22903904235002642,"score_spread":0.18526335437137395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131513784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97636276,0.0021821535,0.00016431093,0.0012221024,0.000017692704,0.00002918261,0.0006122175,0.000013906923,0.019395588],"genre_scores_gemma":[0.99363893,0.0016516271,0.00012218503,0.00025045866,0.00002102423,0.000017315926,0.0007045346,0.000005664323,0.0035883116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983942,0.000566888,0.000053413427,0.00021483816,0.00037137308,0.0003993115],"domain_scores_gemma":[0.96924603,0.017888803,0.007429595,0.0010011562,0.001773766,0.00266063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037809487,0.00017961187,0.00034782663,0.0010577202,0.000889473,0.0018323855,0.000626848,0.0005187446,0.0029708885],"category_scores_gemma":[0.012210812,0.00016098162,0.00029907408,0.0012167356,0.0011514067,0.0013279534,0.0010225689,0.00095894985,0.00039600529],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004163648,0.0036684526,0.8480067,0.00038345126,0.0005970698,0.00041403947,0.0032687986,0.0036851838,0.0010669674,0.0124561675,0.014501867,0.107787624],"study_design_scores_gemma":[0.00028134082,0.00083666155,0.9799708,0.00031892952,0.00022015804,0.00004199466,0.0042401524,0.0008714983,0.0011513877,0.0017662575,0.010272616,0.00002822326],"about_ca_topic_score_codex":0.06948733,"about_ca_topic_score_gemma":0.1644836,"teacher_disagreement_score":0.06948733,"about_ca_system_score_codex":0.0019132621,"about_ca_system_score_gemma":0.0027427985,"threshold_uncertainty_score":0.13816577},"labels":[],"label_agreement":null},{"id":"W3132611931","doi":"10.22434/ifamr2020.0116","title":"Canadian dairy regulations as a driver of foreign direct investment: the case of Saputo","year":2021,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Alberta Health Services","funders":"","keywords":"Competitor analysis; Restrictiveness; Economic rent; Business; Investment (military); Control (management); Cash; Product (mathematics); Cash flow; Economics; Finance; Industrial organization; Marketing; Market economy","score_opus":0.025897018698880253,"score_gpt":0.22692984671944616,"score_spread":0.2010328280205659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132611931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96821535,0.0015255322,0.0002915245,0.003931927,0.000012747822,0.000031016218,0.0004001213,0.000013708671,0.025578171],"genre_scores_gemma":[0.9952683,0.0008531233,0.0000914376,0.00015695246,0.000005653287,0.0000044754247,0.00017226565,0.0000027573083,0.0034449566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876773,0.00012433453,0.000023863355,0.00010509323,0.00034220892,0.0006368576],"domain_scores_gemma":[0.994755,0.001283198,0.0012407434,0.00015576105,0.0015244415,0.0010408694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012192864,0.00022419053,0.00045493388,0.001287414,0.0027684935,0.0028920206,0.00078780897,0.00085862854,0.002567227],"category_scores_gemma":[0.0050737555,0.00018433318,0.0004412235,0.0028405369,0.0014260773,0.00062933104,0.0009346834,0.0015075591,0.00013225431],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002810226,0.00013806092,0.8825693,0.00014027146,0.00017833896,0.0029349236,0.004571287,0.011049219,0.0008512483,0.04984619,0.010949065,0.03649104],"study_design_scores_gemma":[0.000040365754,0.00007385382,0.94031686,0.00017645775,0.00022640191,0.0003891591,0.01425605,0.014299835,0.00058459834,0.002128966,0.027416347,0.000091118105],"about_ca_topic_score_codex":0.9843864,"about_ca_topic_score_gemma":0.9876232,"teacher_disagreement_score":0.03538071,"about_ca_system_score_codex":0.03538071,"about_ca_system_score_gemma":0.036210604,"threshold_uncertainty_score":0.25670618},"labels":[],"label_agreement":null},{"id":"W3135722950","doi":"10.1016/j.jeconom.2021.12.014","title":"Do firm effects drift? Evidence from Washington administrative data","year":2022,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Earnings; Econometrics; Economics; Wage; Autocorrelation; Dispersion (optics); Variance (accounting); Sorting; Download; Aggregate (composite); Labour economics; Statistics; Mathematics; Computer science; Accounting","score_opus":0.3375139851542939,"score_gpt":0.3027146441226516,"score_spread":0.03479934103164234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135722950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655678,0.0030515846,0.0009207243,0.0037344894,0.00012460626,0.00003699361,0.0183796,0.00007268953,0.008111441],"genre_scores_gemma":[0.9793453,0.0015388941,0.0003884742,0.00048543673,0.00010893464,0.00002667843,0.015312254,0.000033617314,0.0027603856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99497694,0.001639408,0.0006471965,0.001025588,0.0009743908,0.0007365217],"domain_scores_gemma":[0.87035465,0.07015914,0.03864897,0.012802659,0.0062448336,0.001789678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008924968,0.0005092038,0.00075484434,0.003129272,0.0008088999,0.0037221275,0.0015734147,0.002139741,0.0040635807],"category_scores_gemma":[0.051437553,0.00076255255,0.0007112778,0.008037824,0.0011450752,0.0027943766,0.0014063604,0.002139235,0.001855867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028382204,0.000105477055,0.9771385,0.00006915131,0.00053260854,0.00019832005,0.0005052827,0.0017015409,0.00013739888,0.0017457176,0.007963661,0.009618439],"study_design_scores_gemma":[0.00006027661,0.000049000377,0.98408496,0.00010236396,0.00036291278,0.0000695961,0.0013737988,0.0030523185,0.0005772199,0.0012362385,0.00899345,0.0000377468],"about_ca_topic_score_codex":0.11282736,"about_ca_topic_score_gemma":0.12081368,"teacher_disagreement_score":0.11282736,"about_ca_system_score_codex":0.0014408606,"about_ca_system_score_gemma":0.0012996385,"threshold_uncertainty_score":0.22434127},"labels":[],"label_agreement":null},{"id":"W3138701892","doi":"10.1002/cjas.1609","title":"Risky business: How strategy relates to survival","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Robustness (evolution); Adaptability; Business failure; Longitudinal data; Strategic management; Function (biology); Business; Actuarial science; Economics; Operations management; Marketing; Computer science; Management; Finance; Data mining","score_opus":0.15010195182011454,"score_gpt":0.29745994346634,"score_spread":0.14735799164622548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138701892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99265623,0.0005484778,0.0010707612,0.0008504896,0.000015804064,0.000009030452,0.000108107306,0.000011860131,0.004729243],"genre_scores_gemma":[0.9995602,0.00006874731,0.00006131991,0.000023351604,0.000010049541,0.0000021144463,0.000031154854,0.0000024285448,0.00024066398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846977,0.0007584985,0.00008453424,0.0001959446,0.00017306025,0.0003182306],"domain_scores_gemma":[0.9515999,0.026690885,0.011817358,0.0013812663,0.0019753354,0.006535339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002966396,0.0002405729,0.0003277483,0.0014960314,0.0004204371,0.0025021238,0.00050170434,0.00092554453,0.0059720986],"category_scores_gemma":[0.030035505,0.00010517282,0.00037922437,0.0012183639,0.0014287396,0.0015922998,0.0011754737,0.0013583985,0.0007083366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015225666,0.00019766053,0.97623515,0.000024488174,0.0001410138,0.00018294039,0.00064117485,0.0022265299,0.00026957746,0.004690075,0.00049563876,0.014743563],"study_design_scores_gemma":[0.0000107145825,0.00031268314,0.9735336,0.000048329723,0.00007155283,0.000285253,0.0017426981,0.006525864,0.00020518352,0.0161906,0.0010421828,0.000031348438],"about_ca_topic_score_codex":0.0022356256,"about_ca_topic_score_gemma":0.0018120619,"teacher_disagreement_score":0.0059720986,"about_ca_system_score_codex":0.0005331415,"about_ca_system_score_gemma":0.00051338854,"threshold_uncertainty_score":0.019978642},"labels":[],"label_agreement":null},{"id":"W3139964153","doi":"10.2139/ssrn.3635875","title":"The Incubated Revolution: Education, Cohort Effects, and the Linguistic Wage Gap in Quebec, 1970 to 2000","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Closing (real estate); Wage; Earnings; Labour economics; Economics; Human capital; Demographic economics; Gender gap; Capital (architecture); Cohort; Market economy; Geography","score_opus":0.007981991536452645,"score_gpt":0.20887568580197316,"score_spread":0.2008936942655205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139964153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631928,0.0054612993,0.00022985548,0.006008549,0.000117805925,0.00003141987,0.015514884,0.000039874954,0.009403435],"genre_scores_gemma":[0.9760642,0.0013678258,0.00010638368,0.00031609368,0.000050281476,0.000022399663,0.0042370497,0.000013174237,0.01782256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993629,0.000048637234,0.00003821802,0.000084151965,0.00010034645,0.00036573442],"domain_scores_gemma":[0.9967385,0.0004325779,0.0007984267,0.000097341115,0.0010721487,0.00086103735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012957206,0.00024761906,0.0003200916,0.0021297187,0.0022588477,0.0017448256,0.0014752377,0.0010058475,0.009351768],"category_scores_gemma":[0.0038284953,0.00014316087,0.00046947118,0.0052410364,0.00089263136,0.0011476399,0.0011155503,0.0015227717,0.0005979209],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087556685,0.00034930182,0.9045908,0.00019778925,0.000228617,0.00051600253,0.008696286,0.0017691839,0.00037622216,0.008441713,0.02300557,0.05095301],"study_design_scores_gemma":[0.000018662704,0.000028105607,0.9844311,0.000083118255,0.000042924075,0.000029936813,0.002625656,0.0006101236,0.00009352369,0.00015145312,0.011871344,0.000014008507],"about_ca_topic_score_codex":0.99506736,"about_ca_topic_score_gemma":0.99706775,"teacher_disagreement_score":0.03129857,"about_ca_system_score_codex":0.03129857,"about_ca_system_score_gemma":0.03035584,"threshold_uncertainty_score":0.2270881},"labels":[],"label_agreement":null},{"id":"W3140608428","doi":"10.1086/735032","title":"The Role of Nonemployers in Business Dynamism and Aggregate Productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Political Economy Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamism; Productivity; Context (archaeology); Slowdown; Aggregate (composite); Quarter (Canadian coin); Economics; Business cycle; Total factor productivity; Industrial organization; Labour economics; Business; Macroeconomics; Economic growth","score_opus":0.006916736939096157,"score_gpt":0.21518305303550023,"score_spread":0.20826631609640406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140608428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913406,0.000699147,0.0021652617,0.0008789161,0.0000110796855,0.000009201102,0.00053828454,0.00002314344,0.004334368],"genre_scores_gemma":[0.9988784,0.00020381314,0.00013768252,0.000020424148,0.00001875389,0.000002851007,0.00013229567,0.0000019060352,0.0006039287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996117,0.000071708084,0.000025640435,0.00008527744,0.00006775169,0.00013793218],"domain_scores_gemma":[0.984511,0.005951598,0.0067007607,0.0006202186,0.0006867192,0.001529778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001356489,0.00016848366,0.00034159143,0.0015016469,0.0003760703,0.001672864,0.00040330447,0.0005749147,0.0024277638],"category_scores_gemma":[0.007801067,0.00015022868,0.0004076819,0.001641536,0.0009115453,0.0018147089,0.001135404,0.0008847935,0.0003912234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022721401,0.00012218016,0.9403603,0.00007806252,0.000093847695,0.00058059546,0.00065283984,0.017066358,0.0020437818,0.015559583,0.0011796464,0.022035604],"study_design_scores_gemma":[0.000021272164,0.00010579139,0.9394632,0.000044162152,0.000048698465,0.00031955086,0.0008894263,0.03418499,0.0014341373,0.019234858,0.0042236852,0.000030195319],"about_ca_topic_score_codex":0.0050292774,"about_ca_topic_score_gemma":0.0059652035,"teacher_disagreement_score":0.0050292774,"about_ca_system_score_codex":0.0011876911,"about_ca_system_score_gemma":0.00065240235,"threshold_uncertainty_score":0.01000005},"labels":[],"label_agreement":null},{"id":"W3141182925","doi":"","title":"The Firm Dynamics of Business Cycles","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business cycle; Recession; Economics; Debt; Productivity; Shock (circulatory); Monetary economics; Investment (military); Dynamics (music); Labour economics; Macroeconomics","score_opus":0.012204043546308618,"score_gpt":0.2109682985277029,"score_spread":0.1987642549813943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141182925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555581,0.0010936897,0.021574268,0.0016189341,0.00003202666,0.000038650578,0.0054889903,0.000128292,0.014466937],"genre_scores_gemma":[0.9959305,0.00044322494,0.0009994598,0.00004079657,0.000022795104,0.000017158192,0.001289143,0.000014302707,0.0012425496],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995419,0.000102558886,0.000030950774,0.00014965382,0.00010207918,0.000072868505],"domain_scores_gemma":[0.9932904,0.0033405432,0.0021534315,0.00034919564,0.000524171,0.00034219428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010390981,0.00018313767,0.00042237798,0.0024746845,0.00037534555,0.0020509055,0.00033192543,0.00040525245,0.0022054298],"category_scores_gemma":[0.012788964,0.0002440957,0.0003125589,0.0037086182,0.0005097113,0.0017130458,0.00058962335,0.00075893325,0.00044696697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084751635,0.00006940897,0.73912823,0.000060092465,0.00015055022,0.00022936995,0.00072935486,0.09275356,0.0006399156,0.10485496,0.007707075,0.053592708],"study_design_scores_gemma":[0.000027126087,0.000071763585,0.47067937,0.0000818552,0.000063930136,0.00018170245,0.0006643072,0.3961611,0.00055276265,0.11511191,0.0163318,0.00007234375],"about_ca_topic_score_codex":0.020882763,"about_ca_topic_score_gemma":0.015176365,"teacher_disagreement_score":0.020882763,"about_ca_system_score_codex":0.0012230485,"about_ca_system_score_gemma":0.0006938554,"threshold_uncertainty_score":0.041522384},"labels":[],"label_agreement":null},{"id":"W3141202084","doi":"","title":"Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires","year":2010,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exploit; Stock (firearms); Tacit knowledge; Sample (material); Variation (astronomy); Citation; Control (management); Business; Industrial organization; Demographic economics; Economics; Econometrics; Computer science; Knowledge management; Management; Engineering","score_opus":0.47832667680862223,"score_gpt":0.46784485118146657,"score_spread":0.010481825627155661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141202084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896388,0.00050530734,0.0015697456,0.00035697068,0.0000068027466,0.000032394473,0.00004842572,0.000015996744,0.007825636],"genre_scores_gemma":[0.9973315,0.00032018803,0.00047162315,0.00005932391,0.000016017462,0.000014972208,0.000042806987,0.0000025375134,0.0017410438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987797,0.00039923147,0.00007644205,0.00021785327,0.00022327935,0.00030348045],"domain_scores_gemma":[0.97825885,0.013908302,0.0052079614,0.0010790159,0.00050982466,0.0010360637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004483657,0.00023004081,0.00048641718,0.0018711677,0.00090374687,0.0029529105,0.00084524136,0.0012684248,0.0052392166],"category_scores_gemma":[0.022795832,0.00020886319,0.00053031516,0.001839109,0.0012153845,0.0034234847,0.0015351701,0.00064763555,0.000694463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003558138,0.0007938662,0.7839993,0.00025578373,0.00020811276,0.0005186843,0.005675305,0.0040900544,0.0042038276,0.01972542,0.0014455771,0.17872821],"study_design_scores_gemma":[0.000067009234,0.00064685737,0.95521694,0.00013008564,0.00022307462,0.0005139663,0.006562952,0.008057675,0.0017256086,0.020190433,0.006604212,0.00006116839],"about_ca_topic_score_codex":0.0033522535,"about_ca_topic_score_gemma":0.0058037285,"teacher_disagreement_score":0.0052392166,"about_ca_system_score_codex":0.00070044573,"about_ca_system_score_gemma":0.000795899,"threshold_uncertainty_score":0.023712099},"labels":[],"label_agreement":null},{"id":"W3143078352","doi":"","title":"Firm Dynamics: Firm Entry and Exit in the Canadian Provinces, 2000 to 2009","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Barriers to entry; Productivity; Business; Industrial organization; Dynamics (music); Resource (disambiguation); Economic geography; Economics; Market structure; Economic growth; Ecology","score_opus":0.032118932821833084,"score_gpt":0.26696607557302876,"score_spread":0.23484714275119567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143078352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89188904,0.003860152,0.0006932865,0.0017697115,0.000056649747,0.00009771298,0.07778971,0.00015411516,0.023689568],"genre_scores_gemma":[0.9479406,0.0016488044,0.0004978742,0.00013685992,0.000018044873,0.000029128742,0.026173918,0.000036347537,0.023518406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975284,0.00006332444,0.000074776275,0.00022733652,0.00079331757,0.0013129365],"domain_scores_gemma":[0.9935661,0.00043896207,0.00110835,0.00018376467,0.0031442237,0.0015586173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095064205,0.0005292282,0.0007362075,0.005300195,0.0038300105,0.0034308021,0.0017692695,0.0007157455,0.005676003],"category_scores_gemma":[0.006107485,0.00038863622,0.0008328703,0.0106483055,0.0010486055,0.0011135181,0.0017710583,0.0012088985,0.00083189236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075274234,0.00010927854,0.9033431,0.00027928097,0.0001391301,0.00048158327,0.00526462,0.0048208763,0.00041645853,0.00597963,0.032945253,0.04546813],"study_design_scores_gemma":[0.000016780268,0.000024048017,0.9718027,0.00007501677,0.000025367717,0.00008083763,0.0035881472,0.0019383564,0.00018784596,0.00021845818,0.02199183,0.00005054094],"about_ca_topic_score_codex":0.9979249,"about_ca_topic_score_gemma":0.9986382,"teacher_disagreement_score":0.9331169,"about_ca_system_score_codex":0.06688306,"about_ca_system_score_gemma":0.060005326,"threshold_uncertainty_score":0.48527282},"labels":[],"label_agreement":null},{"id":"W3143670028","doi":"10.5430/ijba.v12n3p25","title":"Toward Dynamic-Based Classification of SMEs","year":2021,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Small business; Incentive; Business; Small and medium-sized enterprises; Point (geometry); Industrial organization; Job creation; Public policy; Marketing; Economics; Market economy; Finance; Economic growth; Labour economics","score_opus":0.061634035410420174,"score_gpt":0.28075434381045705,"score_spread":0.21912030840003688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143670028","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60731536,0.0008104119,0.307551,0.003410268,0.00031866124,0.0007182776,0.0097993435,0.0008576451,0.06921899],"genre_scores_gemma":[0.8927242,0.0002731824,0.093186475,0.00020639205,0.00009574097,0.00041981405,0.0081512835,0.00005968511,0.0048832833],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829227,0.00046397652,0.0002076108,0.00037708326,0.0003271092,0.00033186175],"domain_scores_gemma":[0.9929669,0.0014008158,0.0012579814,0.00087679364,0.0028105655,0.0006869407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021186238,0.00044945703,0.00055826444,0.00653211,0.0009240579,0.003394642,0.0010944924,0.0008672113,0.0027995713],"category_scores_gemma":[0.010193811,0.000175792,0.0005442189,0.0041750274,0.00052652677,0.0030574868,0.002980415,0.0010772399,0.0019272958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045897017,0.00049044413,0.47643888,0.00024399633,0.00009359621,0.0004253201,0.0036425085,0.016732683,0.009287913,0.13498527,0.016750202,0.34045035],"study_design_scores_gemma":[0.00005722161,0.00039482792,0.27878055,0.00052551227,0.00009087505,0.000688235,0.012751063,0.3967097,0.00486424,0.21588865,0.08907872,0.00017040341],"about_ca_topic_score_codex":0.0047825156,"about_ca_topic_score_gemma":0.0050426503,"teacher_disagreement_score":0.00653211,"about_ca_system_score_codex":0.001156382,"about_ca_system_score_gemma":0.0014708423,"threshold_uncertainty_score":0.011204481},"labels":[],"label_agreement":null},{"id":"W3144284229","doi":"","title":"Dynamique des entreprises: l'entree et la sortie d'entreprises dans les provinces canadiennes, 2000 a 2009","year":2013,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02968698004805785,"score_gpt":0.26696635115832923,"score_spread":0.23727937111027136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144284229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9572148,0.006637572,0.00063521793,0.0014296343,0.000038994654,0.000039092283,0.02008535,0.00006972623,0.013849616],"genre_scores_gemma":[0.98127764,0.002575094,0.00075173005,0.00008254796,0.000016642569,0.00002076161,0.0059443917,0.000011777187,0.009319481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986425,0.000080032914,0.00007061593,0.00026525502,0.00050602,0.00043556717],"domain_scores_gemma":[0.9950265,0.00082825014,0.0018479074,0.00021141344,0.0014703833,0.0006155651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094174524,0.0004360313,0.00047754674,0.005681603,0.0012023584,0.0023357358,0.0007135304,0.00052712735,0.0049204365],"category_scores_gemma":[0.0031610497,0.0003354766,0.000774665,0.013710463,0.0009618775,0.0008780395,0.0010338151,0.000808419,0.00053551863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016875363,0.000030462985,0.96688205,0.00023636445,0.00019163714,0.0002976718,0.0027139576,0.0012319434,0.00068030483,0.0023601104,0.0028181076,0.022388592],"study_design_scores_gemma":[0.000008305408,0.00002199205,0.9802218,0.000058868147,0.000052084204,0.00010192769,0.002717981,0.00050926267,0.00029092378,0.0002492398,0.01574495,0.000022740107],"about_ca_topic_score_codex":0.8442335,"about_ca_topic_score_gemma":0.90397924,"teacher_disagreement_score":0.15576649,"about_ca_system_score_codex":0.010665958,"about_ca_system_score_gemma":0.013582432,"threshold_uncertainty_score":0.3133676},"labels":[],"label_agreement":null},{"id":"W3144307509","doi":"10.1287/mnsc.2020.3812","title":"The Robot Revolution: Managerial and Employment Consequences for Firms","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":386,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Robot; Quality (philosophy); Incentive; Hierarchy; Business; Control (management); Organizational architecture; Variance (accounting); Labour economics; Product (mathematics); Industrial organization; Economics; Microeconomics; Computer science; Accounting; Artificial intelligence; Market economy; Management","score_opus":0.0391030247853634,"score_gpt":0.24672567271815246,"score_spread":0.20762264793278906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144307509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684155,0.002101722,0.00057584443,0.012120481,0.000050491697,0.000011894836,0.00016219544,0.00003141712,0.016530434],"genre_scores_gemma":[0.9983923,0.00051676127,0.000057161786,0.00022843444,0.000039783572,0.0000037110156,0.000038694096,0.0000020909588,0.0007211147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999433,0.00021850823,0.000017649685,0.00006103912,0.00009708467,0.00017274579],"domain_scores_gemma":[0.9940984,0.0021170962,0.0024254315,0.0002482189,0.00036722177,0.00074358686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012795001,0.00015152013,0.00017201563,0.0006041877,0.0007372715,0.0014863089,0.0003225229,0.00096680445,0.006197273],"category_scores_gemma":[0.006093269,0.00009662794,0.00023852897,0.0007536016,0.0017605083,0.001099927,0.0010962182,0.0007620295,0.00041917711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011539242,0.0011523197,0.7623306,0.000216512,0.000105853134,0.00199957,0.002623044,0.019355811,0.002324399,0.06170306,0.021833356,0.12520157],"study_design_scores_gemma":[0.00007513648,0.00050437916,0.9439113,0.0001224946,0.00003824242,0.00030594185,0.006384344,0.0060014613,0.0006202408,0.026762264,0.015230491,0.00004369563],"about_ca_topic_score_codex":0.0043190247,"about_ca_topic_score_gemma":0.0069796187,"teacher_disagreement_score":0.006197273,"about_ca_system_score_codex":0.0016427306,"about_ca_system_score_gemma":0.000567253,"threshold_uncertainty_score":0.020731926},"labels":[],"label_agreement":null},{"id":"W3144863094","doi":"","title":"Firm Dynamics: The Death of New Canadian Firms: A Survival Analysis of the 2002 Cohort of Entrants to the Business Sector","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Cohort; Business; Survival analysis; Longitudinal data; Economics; Industrial organization; Labour economics; Demographic economics; Statistics; Demography; Census; Mathematics; Sociology","score_opus":0.05234332293785021,"score_gpt":0.2767735523557298,"score_spread":0.2244302294178796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144863094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985421,0.00072506286,0.00047800055,0.00090721634,0.000018824527,0.00003513854,0.010233923,0.000022943654,0.0021578835],"genre_scores_gemma":[0.98389095,0.0006472047,0.0002285569,0.00009942134,0.000020963113,0.000018268316,0.009774992,0.000011368158,0.0053082546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993736,0.000042910757,0.000015535155,0.00008806378,0.0001608108,0.0003191061],"domain_scores_gemma":[0.9959882,0.00037913903,0.00088522135,0.0002939042,0.0012718128,0.0011816776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016369403,0.00036712026,0.00041899015,0.0023278578,0.0025312402,0.0022098203,0.0014395535,0.0008246141,0.003260067],"category_scores_gemma":[0.0054265982,0.00022126423,0.0007044862,0.0037823138,0.000786119,0.0006781433,0.0011271756,0.0010800239,0.00060894527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022570582,0.00007818185,0.9655406,0.000035530138,0.000092972434,0.0002868771,0.0023372262,0.0038485595,0.00032345732,0.0028750694,0.008561326,0.015794396],"study_design_scores_gemma":[0.000014029235,0.000030795476,0.98596674,0.000023655433,0.00005070744,0.000077454155,0.0019555558,0.006572703,0.00014093785,0.00044948515,0.0046746596,0.00004323415],"about_ca_topic_score_codex":0.9798662,"about_ca_topic_score_gemma":0.9821931,"teacher_disagreement_score":0.020133793,"about_ca_system_score_codex":0.012456455,"about_ca_system_score_gemma":0.015423024,"threshold_uncertainty_score":0.0903784},"labels":[],"label_agreement":null},{"id":"W3146257045","doi":"","title":"Increasing Canada's International Competitiveness: Is There a Link between Skilled Immigrants and Innovation?","year":2008,"lang":"en","type":"article","venue":"2008 Annual Meeting, July 27-29, 2008, Orlando, Florida","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Immigration; Demographic economics; Economics; Business; Geography","score_opus":0.018228131526459388,"score_gpt":0.22151116719995637,"score_spread":0.20328303567349698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146257045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97556156,0.0013263497,0.0007710142,0.0033477184,0.000036589485,0.00003581009,0.0022436788,0.000034502,0.016642611],"genre_scores_gemma":[0.99474096,0.00064531993,0.00028503346,0.00016146406,0.000020503376,0.000010539889,0.0007910993,0.0000048972797,0.0033401027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991334,0.00007181869,0.00002915796,0.000106260966,0.0002454348,0.00041384576],"domain_scores_gemma":[0.99494296,0.0013097167,0.00144255,0.00015799681,0.0011125793,0.0010343374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012782923,0.00044698146,0.000590865,0.0021198532,0.00187118,0.0029097246,0.00079220615,0.0007353387,0.004964254],"category_scores_gemma":[0.0060982266,0.00013110216,0.0011578861,0.0035991918,0.0013613261,0.0006900109,0.0013761688,0.0010795852,0.00029120315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008183051,0.000054329175,0.9740097,0.000050345992,0.000097588396,0.00024525978,0.0006658839,0.0031587717,0.00015445035,0.005972435,0.0016922142,0.0138171865],"study_design_scores_gemma":[0.000028006005,0.000083142,0.97882587,0.00007719753,0.00023604247,0.00010768274,0.0025256346,0.009048204,0.00029217626,0.002070477,0.0066637984,0.00004179817],"about_ca_topic_score_codex":0.9734726,"about_ca_topic_score_gemma":0.9731252,"teacher_disagreement_score":0.9837294,"about_ca_system_score_codex":0.016270574,"about_ca_system_score_gemma":0.036874037,"threshold_uncertainty_score":0.11805189},"labels":[],"label_agreement":null},{"id":"W3147338236","doi":"","title":"Innovation and Knowledge Creation in an Open Economy","year":2003,"lang":"en","type":"article","venue":"Cambridge University Press eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Innovator; Business; Industrial organization; Foreign direct investment; R&D intensity; Investment (military); Open innovation; Economic system; Marketing; Economics; Entrepreneurship; Management","score_opus":0.051101082269273145,"score_gpt":0.23586216936005322,"score_spread":0.18476108709078007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147338236","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45657408,0.013225146,0.043313395,0.0076865773,0.000103170365,0.00011788146,0.000254263,0.000062843916,0.47866255],"genre_scores_gemma":[0.9905103,0.0022381719,0.0019151182,0.00008924335,0.000054722866,0.000029088218,0.000039628056,0.0000030277884,0.005120662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980155,0.0004790044,0.00006707115,0.00014627614,0.0008373463,0.00045473137],"domain_scores_gemma":[0.99403846,0.0035906597,0.0007964225,0.00038082493,0.0006533056,0.00054032065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017906884,0.00024226563,0.000408769,0.0034666045,0.002124947,0.0060777557,0.0005697295,0.0010954217,0.003374774],"category_scores_gemma":[0.0060376357,0.00017079573,0.00040525282,0.003364503,0.009675214,0.006614716,0.0033836626,0.0008948568,0.00030456626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032839216,0.000068306465,0.0045663086,0.000113659524,0.000021323265,0.00019924596,0.0013543428,0.0058841556,0.00033918716,0.96149516,0.00046932354,0.025456242],"study_design_scores_gemma":[0.00002726435,0.000052834017,0.014619925,0.00016108571,0.000031016418,0.00019699046,0.0020278129,0.0065356106,0.00042688535,0.9516703,0.024220377,0.000029918512],"about_ca_topic_score_codex":0.029352507,"about_ca_topic_score_gemma":0.023551337,"teacher_disagreement_score":0.029352507,"about_ca_system_score_codex":0.0069765486,"about_ca_system_score_gemma":0.0049844994,"threshold_uncertainty_score":0.05836332},"labels":[],"label_agreement":null},{"id":"W3148795170","doi":"","title":"Les chaines de valeur mondiales et la productivite des entreprises manufacturieres au Canada","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Economics; Philosophy","score_opus":0.039955874857062666,"score_gpt":0.2885982129057748,"score_spread":0.24864233804871214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148795170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98306155,0.0016487753,0.0024005654,0.00033813788,0.000013736918,0.00004734148,0.0019180626,0.000051130675,0.010520691],"genre_scores_gemma":[0.9816628,0.0008799647,0.0029801063,0.000039078386,0.0000074033346,0.000027589693,0.0010547031,0.000015236547,0.013333218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873275,0.00014862094,0.000039619237,0.00018014375,0.0005922237,0.00030659974],"domain_scores_gemma":[0.9961915,0.0011210765,0.00063518184,0.00016464895,0.0014179888,0.0004696495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014502269,0.00031444457,0.00033721924,0.0017757575,0.0011357513,0.001976298,0.00047629606,0.0003613299,0.0075233243],"category_scores_gemma":[0.0054910425,0.00025235268,0.00057004805,0.003933559,0.00077838893,0.0005113878,0.0010375971,0.0006111053,0.00042550275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006767194,0.000110002744,0.8236462,0.0002984162,0.00031181937,0.0002162356,0.004847031,0.008129568,0.0048037167,0.008640541,0.0018392564,0.1464805],"study_design_scores_gemma":[0.00001686023,0.00017671297,0.9770045,0.00007469465,0.00010455818,0.00004805121,0.0024948134,0.004615579,0.0021447442,0.0011747583,0.012116644,0.000028049284],"about_ca_topic_score_codex":0.87776357,"about_ca_topic_score_gemma":0.9166728,"teacher_disagreement_score":0.12223643,"about_ca_system_score_codex":0.013955592,"about_ca_system_score_gemma":0.011703081,"threshold_uncertainty_score":0.24591255},"labels":[],"label_agreement":null},{"id":"W3154562188","doi":"","title":"The Role of Nonemployers in Business Dynamism and Aggregate Productivity","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamism; Productivity; Context (archaeology); Slowdown; Quarter (Canadian coin); Business cycle; Aggregate (composite); Economics; Total factor productivity; Labour economics; Business; Industrial organization; Monetary economics; Macroeconomics; Economic growth; Geography","score_opus":0.015479150416898431,"score_gpt":0.242426626536887,"score_spread":0.22694747611998858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154562188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897054,0.0005511626,0.0019348033,0.0010612049,0.000012892656,0.000011894047,0.0016885588,0.000036313577,0.004997841],"genre_scores_gemma":[0.9986738,0.00015276944,0.00014546144,0.000038811308,0.000016816992,0.0000040380683,0.0004908828,0.000003470518,0.00047407235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994407,0.00009635148,0.000051218267,0.00013918387,0.00011504389,0.00015735286],"domain_scores_gemma":[0.9816326,0.0060596876,0.009245906,0.0009990684,0.00082985306,0.0012327892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015559825,0.00016003869,0.00030102418,0.0014836052,0.0003942831,0.0016882769,0.00040049443,0.00049729994,0.001977154],"category_scores_gemma":[0.011061535,0.00016370132,0.00041567424,0.0021698715,0.0009517949,0.0017317168,0.001258308,0.0010407487,0.00042814823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000857787,0.000034180757,0.9805921,0.000035072484,0.000044546458,0.00017446963,0.000431139,0.0038027677,0.0007832404,0.0036698277,0.00086532434,0.009481658],"study_design_scores_gemma":[0.0000053151543,0.000031425618,0.988074,0.000020397154,0.0000149205,0.000102621496,0.000449449,0.0054446775,0.00062351365,0.003268684,0.001954225,0.000010818877],"about_ca_topic_score_codex":0.0075150966,"about_ca_topic_score_gemma":0.009690444,"teacher_disagreement_score":0.0075150966,"about_ca_system_score_codex":0.000989475,"about_ca_system_score_gemma":0.00062140945,"threshold_uncertainty_score":0.014942706},"labels":[],"label_agreement":null},{"id":"W3160234898","doi":"10.18235/0002289","title":"Firm Exit during Recessions","year":2020,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Inter-American Development Bank","keywords":"Recession; Economics; Business; Keynesian economics","score_opus":0.11804501831469255,"score_gpt":0.2755538158725488,"score_spread":0.15750879755785624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160234898","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635995,0.0010162414,0.009038747,0.002531475,0.00004052981,0.00004985861,0.002962494,0.00016238802,0.020598684],"genre_scores_gemma":[0.98856074,0.0006286553,0.00035248764,0.00016293836,0.000018199436,0.000018397976,0.0014017762,0.000022252212,0.008834681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99974424,0.000043990352,0.000007866138,0.000050194787,0.000025668718,0.00012810185],"domain_scores_gemma":[0.99903774,0.00024874427,0.0003910284,0.000042921256,0.000107014195,0.00017253245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090977474,0.00038254712,0.0009089533,0.0004913128,0.00037351562,0.0014020329,0.0004247362,0.0009826391,0.0059751337],"category_scores_gemma":[0.003180389,0.00032908178,0.0006444004,0.0005024883,0.00034916052,0.0011448986,0.0008184041,0.0011268262,0.00078944536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013396358,0.0005341622,0.20610856,0.00038635268,0.0002327299,0.0018921122,0.0012564592,0.5920235,0.0036205098,0.105541326,0.03845603,0.048608713],"study_design_scores_gemma":[0.0003162866,0.0004428311,0.1548176,0.00018833169,0.00015688023,0.00037751047,0.001557453,0.7801307,0.0009833126,0.04604226,0.014893153,0.000093720446],"about_ca_topic_score_codex":0.024014853,"about_ca_topic_score_gemma":0.019525409,"teacher_disagreement_score":0.024014853,"about_ca_system_score_codex":0.0011439066,"about_ca_system_score_gemma":0.00067596947,"threshold_uncertainty_score":0.047750175},"labels":[],"label_agreement":null},{"id":"W3160608480","doi":"10.3386/w24968","title":"On Average Establishment Size across Sectors and Countriesy","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Einaudi Institute for Economics and Finance; Canada Research Chairs; National University of Singapore; University of Texas at Austin","keywords":"Econometrics; Statistics; Geography; Mathematics","score_opus":0.3020083835696909,"score_gpt":0.47449345518718733,"score_spread":0.17248507161749643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160608480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48904422,0.0011816327,0.0037548023,0.00048033605,0.000079185076,0.00009902402,0.48756588,0.00039850778,0.017396355],"genre_scores_gemma":[0.47444648,0.000809496,0.0035605242,0.00013581992,0.000067415,0.00023112883,0.51381224,0.0001330128,0.006803858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980234,0.00021638496,0.00023285692,0.0006231058,0.0005840177,0.00032025465],"domain_scores_gemma":[0.98320675,0.0038215937,0.006723568,0.0024771981,0.002822506,0.000948354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017162593,0.00033256307,0.00057964877,0.0062011955,0.0005717384,0.0016762712,0.0011131093,0.00050272734,0.012247756],"category_scores_gemma":[0.011198161,0.00040547943,0.00066168606,0.008608578,0.00040098303,0.001620788,0.0023398753,0.00079031807,0.0048937905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017626795,0.000093312236,0.90365034,0.00029242967,0.00034577097,0.00018094189,0.0005355227,0.0039032367,0.00060031225,0.002679469,0.06785663,0.019685717],"study_design_scores_gemma":[0.00003420497,0.000040227238,0.9398779,0.00007497312,0.000049815237,0.0002760295,0.00074063055,0.0024739148,0.00059605367,0.0010394953,0.0547623,0.0000344576],"about_ca_topic_score_codex":0.022339482,"about_ca_topic_score_gemma":0.02354637,"teacher_disagreement_score":0.022339482,"about_ca_system_score_codex":0.00064556184,"about_ca_system_score_gemma":0.0005703097,"threshold_uncertainty_score":0.04441893},"labels":[],"label_agreement":null},{"id":"W3160630916","doi":"10.1287/orsc.2021.1470","title":"Pre-Entry Experience, Postentry Adaptations, and Internationalization in the African Mobile Telecommunications Industry","year":2021,"lang":"en","type":"article","venue":"Organization Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Internationalization; Business; Indigenous; Industrial organization; Qualitative property; Marketing; International trade; Computer science","score_opus":0.025975031145060657,"score_gpt":0.259663856105007,"score_spread":0.2336888249599463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160630916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997547,0.000069212794,0.000052711446,0.00006973962,0.0000014816035,0.0000032106357,0.00001698457,4.6987762e-7,0.0022392743],"genre_scores_gemma":[0.9990627,0.00009465918,0.000034415203,0.000012985133,0.0000018035163,0.0000026611954,0.000018167058,7.235069e-7,0.00077185006],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99936086,0.00017021273,0.00003011783,0.000057437406,0.00009821467,0.00028318443],"domain_scores_gemma":[0.99618226,0.001338571,0.001337075,0.0001159067,0.00033731916,0.00068889663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011512811,0.00013391659,0.00014267571,0.001252913,0.0014242803,0.0022314738,0.00035862086,0.00036765824,0.0050680586],"category_scores_gemma":[0.004681318,0.00016445055,0.00010363914,0.0011328355,0.0016607059,0.002498361,0.0020233642,0.00089132716,0.00027668657],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013957215,0.00021890203,0.7088732,0.00015530578,0.000016104006,0.0020944248,0.2402009,0.00039613116,0.0023943332,0.0066393665,0.00055909576,0.038312703],"study_design_scores_gemma":[0.000003092536,0.00016395024,0.75921655,0.00016428519,0.0000064278793,0.0004574471,0.23192607,0.00021164153,0.0006223001,0.00045977297,0.0067497133,0.000018821409],"about_ca_topic_score_codex":0.009971031,"about_ca_topic_score_gemma":0.02284184,"teacher_disagreement_score":0.009971031,"about_ca_system_score_codex":0.0012224906,"about_ca_system_score_gemma":0.0007970508,"threshold_uncertainty_score":0.019825995},"labels":[],"label_agreement":null},{"id":"W3160669027","doi":"10.1016/j.jmoneco.2024.103684","title":"Wage employment, unemployment and self-employment across countries","year":2024,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of Toronto; Social Sciences and Humanities Research Council of Canada; University of Alberta; Georgetown University; International Growth Centre; Universität St. Gallen; Florida International University; University of Miami","keywords":"Unemployment; Economics; Matching (statistics); Labour economics; Wage; Productivity; Efficiency wage","score_opus":0.02266823771220472,"score_gpt":0.23741826339318392,"score_spread":0.2147500256809792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160669027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686843,0.00064943,0.0003318005,0.00013961164,0.000008580794,0.0000078911235,0.0005174092,0.0000140314605,0.0014629095],"genre_scores_gemma":[0.9988569,0.00023957784,0.000108801694,0.000018253613,0.0000039682905,0.0000066055504,0.0003814747,0.000004233176,0.0003802702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992737,0.00018886988,0.00007406372,0.00014949602,0.00008728978,0.00022657057],"domain_scores_gemma":[0.9973188,0.00070072524,0.0011457199,0.00022141382,0.00019067105,0.0004226678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014780978,0.00025229182,0.0006583385,0.0017607791,0.0006257625,0.0017946851,0.00041918992,0.0005618535,0.002672368],"category_scores_gemma":[0.0040018097,0.00029780623,0.0007655669,0.0026725624,0.000987045,0.00094547315,0.0019728257,0.00044522862,0.00030891653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024963968,0.00009975085,0.9605672,0.00010147989,0.0005932723,0.00031629213,0.00074171,0.02438882,0.00024318467,0.0037298116,0.00093313475,0.008035764],"study_design_scores_gemma":[0.000046565136,0.00015216603,0.98469603,0.000091120215,0.00021838724,0.00021226896,0.0020558094,0.008643254,0.00022626361,0.002305448,0.0013275886,0.000025022215],"about_ca_topic_score_codex":0.020080404,"about_ca_topic_score_gemma":0.015781444,"teacher_disagreement_score":0.020080404,"about_ca_system_score_codex":0.0006416888,"about_ca_system_score_gemma":0.00056849077,"threshold_uncertainty_score":0.039927065},"labels":[],"label_agreement":null},{"id":"W3165088606","doi":"10.1515/ger-2020-0102","title":"Skill complementarity in production technology: New empirical evidence and implications","year":2021,"lang":"en","type":"article","venue":"German Economic Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Complementarity (molecular biology); Productivity; Empirical evidence; Economics; Technological change; Profit (economics); Production (economics); Dispersion (optics); Manufacturing; Industrial organization; Econometrics; Labour economics; Microeconomics; Business; Marketing; Macroeconomics","score_opus":0.1643396688626123,"score_gpt":0.3630071014056633,"score_spread":0.19866743254305097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165088606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87166214,0.04771795,0.028712412,0.0033395663,0.00006564783,0.00003574224,0.00085567404,0.00008817215,0.04752269],"genre_scores_gemma":[0.9931821,0.0049791927,0.0009763547,0.00009730956,0.000068474576,0.0000052477026,0.00015649463,0.0000049569144,0.0005299865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988274,0.00037187384,0.00008440764,0.00026324877,0.00030016626,0.0001529078],"domain_scores_gemma":[0.9671765,0.0275112,0.0028906388,0.0009826897,0.0010398899,0.0003991648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024156752,0.0003844412,0.00096923567,0.0039698198,0.0004916262,0.0020802617,0.00047776347,0.00064496015,0.0074441647],"category_scores_gemma":[0.010233908,0.00025681415,0.0007395941,0.0043480573,0.0017687087,0.0018175442,0.0015921656,0.0006395229,0.0004344704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075103523,0.0003886107,0.42977095,0.0031151967,0.0013306045,0.003037335,0.001581096,0.05413332,0.0028070603,0.30933788,0.0038729375,0.18987404],"study_design_scores_gemma":[0.000115783885,0.00023362816,0.5206625,0.0011901151,0.0008651092,0.0014812311,0.00215509,0.060980853,0.0017554066,0.3937054,0.016773582,0.0000813144],"about_ca_topic_score_codex":0.009023852,"about_ca_topic_score_gemma":0.0059031844,"teacher_disagreement_score":0.009023852,"about_ca_system_score_codex":0.001082608,"about_ca_system_score_gemma":0.0007808555,"threshold_uncertainty_score":0.024903238},"labels":[],"label_agreement":null},{"id":"W3168811377","doi":"10.2139/ssrn.3970452","title":"Selection and Absolute Advantage in Farming and Entrepreneurship∗","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Entrepreneurship; Comparative advantage; Exploit; Sorting; Absolute (philosophy); Production (economics); Selection (genetic algorithm); Economics; Population; Panel data; Agricultural economics; Demographic economics; Geography; Econometrics; International trade; Demography; Microeconomics; Mathematics","score_opus":0.011306245842502519,"score_gpt":0.20918740962038151,"score_spread":0.197881163777879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168811377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500495,0.00023582765,0.00077446684,0.00032840748,0.000011893251,0.0000032000455,0.000049198796,0.0000069409252,0.003585182],"genre_scores_gemma":[0.99919826,0.000033069082,0.00008836833,0.000020923964,0.000018214074,0.0000010943724,0.000018540224,0.0000010352321,0.0006204091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956745,0.00016742937,0.000032474105,0.00007332446,0.000056034398,0.00010328136],"domain_scores_gemma":[0.989924,0.006104496,0.0016943451,0.00056829985,0.00027489834,0.0014340088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018390863,0.00012811186,0.0003425995,0.0006912018,0.0004649258,0.0009937874,0.00025804748,0.0004219677,0.009095591],"category_scores_gemma":[0.0076991324,0.00008566008,0.00021605322,0.0008195454,0.0008240851,0.00082084636,0.0007860984,0.00045941208,0.00047952708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008817942,0.00033313112,0.9123678,0.00008472016,0.00013426766,0.0007044071,0.00077660783,0.0014620494,0.003108356,0.025061632,0.0007938472,0.05429148],"study_design_scores_gemma":[0.000043191532,0.0004729593,0.9288349,0.00001889785,0.00004335305,0.00072857563,0.0015346602,0.0028807046,0.00087699265,0.063154325,0.0013931685,0.000018322102],"about_ca_topic_score_codex":0.0005999214,"about_ca_topic_score_gemma":0.00096624374,"teacher_disagreement_score":0.009095591,"about_ca_system_score_codex":0.00017817937,"about_ca_system_score_gemma":0.00015337889,"threshold_uncertainty_score":0.030427754},"labels":[],"label_agreement":null},{"id":"W3169249309","doi":"10.5539/ibr.v14n7p36","title":"The Effects of Outbound Mergers and Acquisitions (M&amp;As) on Chinese Automobile Corporations’ Performance: A Case Study of Geely’s Acquisition of Volvo","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Business; Mergers and acquisitions; Automotive industry; Marketing; Industrial organization; Finance; Engineering","score_opus":0.05667609856876304,"score_gpt":0.3442329117817934,"score_spread":0.28755681321303034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169249309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984819,0.00004021359,0.000013150749,0.00006685989,0.0000011269277,0.0000052806686,0.000010270589,0.000001037827,0.00138012],"genre_scores_gemma":[0.99953747,0.00005737495,0.000020056894,0.000015252268,0.000002827039,0.000002764212,0.0000140684515,5.2500445e-7,0.00034966817],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.99917454,0.00023269704,0.000041127358,0.00007278381,0.00015636477,0.00032247652],"domain_scores_gemma":[0.9954015,0.001564803,0.0014650868,0.00016609184,0.00060330995,0.0007992011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014666218,0.00031381863,0.00025285388,0.0012686767,0.0017859157,0.0015007156,0.00045958514,0.00071389193,0.0014428584],"category_scores_gemma":[0.0030441496,0.00009684167,0.00026637907,0.0012178174,0.0015591877,0.00087006105,0.0012246286,0.000815636,0.00017879477],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033273984,0.00085375033,0.9291644,0.000079915,0.00008602647,0.006413502,0.019539118,0.0023863174,0.0033496981,0.0033272747,0.001008922,0.033458304],"study_design_scores_gemma":[0.000013614774,0.0005262439,0.96398276,0.000029894645,0.00005955974,0.00031389028,0.028459588,0.0030620801,0.0014205129,0.0003749734,0.0017155978,0.00004138279],"about_ca_topic_score_codex":0.06794133,"about_ca_topic_score_gemma":0.11418963,"teacher_disagreement_score":0.06794133,"about_ca_system_score_codex":0.00347751,"about_ca_system_score_gemma":0.0026564724,"threshold_uncertainty_score":0.13509172},"labels":[],"label_agreement":null},{"id":"W3172949906","doi":"10.21203/rs.3.rs-2003920/v1","title":"Firm growth in times of crisis","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Recession; Great recession; Wage growth; Economics; Wage; Monetary economics; Population; Financial crisis; Low wage; Labour economics; Demographic economics; Current Population Survey; Macroeconomics; Geography","score_opus":0.10235928090525952,"score_gpt":0.35232168595150704,"score_spread":0.2499624050462475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172949906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920282,0.00053602824,0.00019661534,0.000351764,0.000009052693,0.0000050671765,0.0034292892,0.000018606635,0.0034253667],"genre_scores_gemma":[0.99715626,0.000120628276,0.000042271273,0.000023169441,0.000010328648,0.0000031675925,0.0018817009,0.0000033462825,0.0007591069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940145,0.00013604813,0.000021933673,0.00010657824,0.00011451484,0.00021945026],"domain_scores_gemma":[0.99606353,0.0012223814,0.0014775285,0.00014918354,0.0006208433,0.00046650393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007889791,0.00015516202,0.0003795895,0.002093738,0.00029967635,0.0018677383,0.00029497483,0.00043146842,0.003602343],"category_scores_gemma":[0.005951137,0.00009889212,0.00019932658,0.0032913412,0.00034026924,0.00066190056,0.000621964,0.0005199854,0.00058334495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029522477,0.00010295335,0.9550377,0.000048486447,0.00009920965,0.0004130583,0.0006949382,0.013944647,0.00043248068,0.0024180545,0.00656368,0.019949589],"study_design_scores_gemma":[0.000012026297,0.000052910913,0.9799366,0.000018112416,0.00001721111,0.00014357749,0.0015356241,0.011070532,0.00021716344,0.00072357076,0.0062605347,0.000012325096],"about_ca_topic_score_codex":0.06283684,"about_ca_topic_score_gemma":0.0385778,"teacher_disagreement_score":0.06283684,"about_ca_system_score_codex":0.0012674219,"about_ca_system_score_gemma":0.0003948283,"threshold_uncertainty_score":0.124942124},"labels":[],"label_agreement":null},{"id":"W3175418720","doi":"10.2139/ssrn.3804065","title":"Style Over Substance? Advertising, Innovation, and Endogenous Market Structure","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Market structure; Economic surplus; Economics; Oligopoly; Allocative efficiency; Revenue; Welfare; Microeconomics; General equilibrium theory; Competition (biology); Industrial organization; Cournot competition; Market economy","score_opus":0.013278997171568213,"score_gpt":0.20121508661003285,"score_spread":0.18793608943846463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175418720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97985876,0.000929281,0.0013262563,0.0025342999,0.00004874315,0.000014068249,0.000096326075,0.000017929637,0.01517438],"genre_scores_gemma":[0.9971311,0.0003061311,0.00018706976,0.0001876469,0.00016982066,0.000003309839,0.000025449774,0.0000066349194,0.0019827567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992507,0.00028154784,0.00004362073,0.0001320244,0.00012731292,0.00016480545],"domain_scores_gemma":[0.9585403,0.029457534,0.006954421,0.0013051988,0.0008924149,0.0028501432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003561776,0.0003728735,0.00064927235,0.0012546147,0.0005417288,0.0052130464,0.0005458143,0.0025134652,0.013616826],"category_scores_gemma":[0.01686946,0.00026835874,0.00064650143,0.0011429541,0.0024029056,0.0030800984,0.0010106532,0.0017836426,0.00091554876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031469322,0.0017409642,0.80864483,0.00026045606,0.00039415853,0.0010037,0.0017417263,0.005804598,0.008420789,0.08288264,0.0020169476,0.083942406],"study_design_scores_gemma":[0.00040148612,0.00085863814,0.8210467,0.0001471896,0.0007032032,0.00057743187,0.002287936,0.024376227,0.002354681,0.14239642,0.0047411798,0.00010893273],"about_ca_topic_score_codex":0.0022577764,"about_ca_topic_score_gemma":0.002850243,"teacher_disagreement_score":0.013616826,"about_ca_system_score_codex":0.00079994026,"about_ca_system_score_gemma":0.00064632646,"threshold_uncertainty_score":0.04555285},"labels":[],"label_agreement":null},{"id":"W3176741671","doi":"","title":"WTO 체제에서의 서비스 원산지- 상업적 주재를 통한 서비스 공급을 중심으로 -","year":2014,"lang":"ko","type":"article","venue":"국제경제법연구","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"International trade; Business; World trade; General Agreement on Trade in Services; China; Political science; Law","score_opus":0.02347491412267362,"score_gpt":0.20197246456193155,"score_spread":0.1784975504392579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176741671","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009268909,0.0023941859,0.0061108647,0.024442565,0.0013972815,0.00012299139,0.0007469611,0.00013776391,0.9553785],"genre_scores_gemma":[0.30248657,0.004715325,0.011974961,0.010624561,0.0007886038,0.00037893484,0.0017578114,0.00058561336,0.6666876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944754,0.0011789341,0.0002912224,0.00091339846,0.0022685973,0.0008724345],"domain_scores_gemma":[0.997741,0.0004015008,0.0001660262,0.0002928351,0.0011462126,0.00025241243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003993312,0.00071495335,0.0004407262,0.0016725973,0.0039471798,0.0107086245,0.0015125609,0.0037354147,0.020175947],"category_scores_gemma":[0.0063300016,0.0004591689,0.00069994724,0.0024051035,0.008418584,0.008272259,0.003630496,0.0066750934,0.0064794384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027790928,0.00001957459,0.0006394541,0.000066271736,0.000008192263,0.00007007431,0.0013297286,0.0002142371,0.00030840284,0.95457256,0.028912522,0.01383121],"study_design_scores_gemma":[0.000019294968,0.000024313187,0.0023631349,0.00036964111,0.000012897018,0.00010881721,0.0018610563,0.0005209848,0.00084696506,0.20598185,0.7878571,0.000033891767],"about_ca_topic_score_codex":0.075663954,"about_ca_topic_score_gemma":0.059856933,"teacher_disagreement_score":0.075663954,"about_ca_system_score_codex":0.011638071,"about_ca_system_score_gemma":0.018927539,"threshold_uncertainty_score":0.15044707},"labels":[],"label_agreement":null},{"id":"W3178167175","doi":"","title":"The life cycle of bare branch families-A simulation study","year":2013,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demography; Sociology","score_opus":0.061038813924540025,"score_gpt":0.279327092772806,"score_spread":0.21828827884826596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178167175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96708906,0.00044364153,0.007294208,0.0009219665,0.00004028797,0.0000703067,0.001543324,0.00010712908,0.022490198],"genre_scores_gemma":[0.9880754,0.0003243991,0.0019702604,0.00007985622,0.00001187319,0.00004329031,0.00073446945,0.000052591502,0.008707792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994293,0.00013758634,0.000011033743,0.00005626235,0.00005860242,0.00030712326],"domain_scores_gemma":[0.9947239,0.002817376,0.00033460214,0.0003156279,0.0006936858,0.0011147258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020870226,0.0004682372,0.0012094324,0.0018267307,0.002564437,0.0020388956,0.0026917974,0.002128431,0.013377976],"category_scores_gemma":[0.008543523,0.0006753358,0.0013886852,0.002283217,0.0022658447,0.0019337365,0.0009972616,0.0015920186,0.0006934009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019904574,0.0001725876,0.010132153,0.000043455995,0.000040391995,0.00026909116,0.00036282625,0.9388243,0.00029535397,0.03958839,0.004849691,0.00522268],"study_design_scores_gemma":[0.000059719983,0.000051099527,0.0031272108,0.000023480163,0.000029071907,0.0000566086,0.00048152584,0.9867953,0.00008335277,0.0076857656,0.0015804435,0.000026367929],"about_ca_topic_score_codex":0.56997633,"about_ca_topic_score_gemma":0.4331249,"teacher_disagreement_score":0.56997633,"about_ca_system_score_codex":0.008195422,"about_ca_system_score_gemma":0.004942399,"threshold_uncertainty_score":0.8651123},"labels":[],"label_agreement":null},{"id":"W3179999369","doi":"10.34989/san-2021-14","title":"Small and smaller: How the economic outlook of small firms relates to size","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market size; Business; Small business; Economics; Marketing; Commerce","score_opus":0.050912426566677674,"score_gpt":0.2253070236419392,"score_spread":0.1743945970752615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179999369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890989,0.00033100482,0.00012977215,0.001830709,0.000018081877,0.0000138430605,0.0008919292,0.0000055162595,0.0076802447],"genre_scores_gemma":[0.9983125,0.00020381424,0.000038914728,0.00009853519,0.000008806392,0.0000043508903,0.0003850957,0.0000030130582,0.0009449974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932003,0.00011027441,0.000030475469,0.00009773974,0.00021899419,0.00022250204],"domain_scores_gemma":[0.9875507,0.002142713,0.003803935,0.0003215472,0.002642002,0.0035391473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015709574,0.000117152136,0.00016407091,0.0011887148,0.0012252511,0.0021190494,0.00043886667,0.0003547553,0.0042284424],"category_scores_gemma":[0.01033771,0.000092885064,0.0002171455,0.0020344597,0.0010939816,0.0012204499,0.0011033787,0.0009620118,0.0003747751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006442791,0.000029185365,0.98515004,0.000010497306,0.000017484927,0.00007447046,0.0034167648,0.0001236389,0.00010634916,0.000556104,0.002448257,0.008002715],"study_design_scores_gemma":[0.0000011675224,0.000013503241,0.9933606,0.00001146975,0.000004587285,0.00001593181,0.004811256,0.00011935453,0.0000299872,0.00015764372,0.0014673958,0.0000070206174],"about_ca_topic_score_codex":0.5399646,"about_ca_topic_score_gemma":0.6778032,"teacher_disagreement_score":0.5399646,"about_ca_system_score_codex":0.0030092516,"about_ca_system_score_gemma":0.0027483893,"threshold_uncertainty_score":0.92548925},"labels":[],"label_agreement":null},{"id":"W3180625733","doi":"10.3386/w28986","title":"Entry and Exit of Informal Firms and Development","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Department for International Development","keywords":"Business; Economics; Monetary economics","score_opus":0.4058188208060882,"score_gpt":0.45242157224030477,"score_spread":0.04660275143421655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180625733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99050164,0.00025377687,0.0006333027,0.00011252704,0.0000060722737,0.000034544,0.0037562298,0.000015214825,0.0046867114],"genre_scores_gemma":[0.98877466,0.000203154,0.00020831748,0.000043264135,0.000008158898,0.000022480228,0.004523912,0.0000054039674,0.006210726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928135,0.00010144543,0.0000615705,0.00016186494,0.00012666598,0.0002671156],"domain_scores_gemma":[0.994672,0.0013016576,0.0026412164,0.00018307363,0.00039054253,0.00081140525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078999356,0.00013918676,0.00031430967,0.0009038734,0.00042400038,0.0017609189,0.00038965882,0.00033022638,0.0053897616],"category_scores_gemma":[0.0034441673,0.00014771376,0.00030892363,0.00088684156,0.00044837178,0.000979473,0.0010665247,0.0006818553,0.00075299107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068599635,0.000059596474,0.9855399,0.000044282555,0.000024654075,0.00036584676,0.0009914851,0.0008243729,0.00020767874,0.0011762772,0.0010416384,0.009655766],"study_design_scores_gemma":[0.0000059089925,0.000042970125,0.99239653,0.00004680467,0.000007489804,0.00018970901,0.0017641668,0.0011697001,0.00017203974,0.00059901096,0.0035933612,0.000012402854],"about_ca_topic_score_codex":0.016112555,"about_ca_topic_score_gemma":0.032247283,"teacher_disagreement_score":0.016112555,"about_ca_system_score_codex":0.000672349,"about_ca_system_score_gemma":0.00045611695,"threshold_uncertainty_score":0.032037556},"labels":[],"label_agreement":null},{"id":"W3183250347","doi":"10.2139/ssrn.3883865","title":"Firm Failure and the Exploration/Exploitation Dilemma:The Role of Firm Life Cycle","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dilemma; Business; Industrial organization; Economics; Mathematics","score_opus":0.011693671892436214,"score_gpt":0.19807651087819556,"score_spread":0.18638283898575933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183250347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8580558,0.004577571,0.04200399,0.024106732,0.00018238429,0.000110157605,0.00026267645,0.00008087729,0.070619926],"genre_scores_gemma":[0.9971106,0.0005773634,0.0005375543,0.00016319666,0.000055383556,0.000015835154,0.000014164695,0.0000085474285,0.001517357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876595,0.000617738,0.00004215965,0.00016099696,0.00014001926,0.00027313657],"domain_scores_gemma":[0.9572318,0.032066755,0.0051105986,0.0010620799,0.001050992,0.0034778079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007993033,0.00036911463,0.0011536656,0.001176176,0.0011528614,0.006129778,0.0013479847,0.004078882,0.009631587],"category_scores_gemma":[0.03409843,0.00033984,0.00049110234,0.0008209316,0.0051190667,0.007669231,0.002130565,0.0027230901,0.0004237866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085427216,0.00032517005,0.030964408,0.0002248833,0.0001409695,0.0012715525,0.0012642619,0.07300395,0.0012557035,0.84458584,0.005537835,0.04057121],"study_design_scores_gemma":[0.00009918939,0.00015062523,0.010654523,0.000088477515,0.00004012926,0.00022431689,0.001546261,0.07716641,0.00018720083,0.9068947,0.0028801374,0.00006806442],"about_ca_topic_score_codex":0.0021595603,"about_ca_topic_score_gemma":0.0022887243,"teacher_disagreement_score":0.009631587,"about_ca_system_score_codex":0.0022166406,"about_ca_system_score_gemma":0.0021721295,"threshold_uncertainty_score":0.042271674},"labels":[],"label_agreement":null},{"id":"W3183573187","doi":"10.1016/j.jmacro.2024.103643","title":"Large firms and the cyclicality of US labour productivity","year":2024,"lang":"en","type":"article","venue":"Journal of Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stylized fact; Productivity; Flexibility (engineering); Labour economics; Business cycle; Economics; Relevance (law); Macroeconomics","score_opus":0.014311809516612367,"score_gpt":0.22887947171676856,"score_spread":0.2145676622001562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183573187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847541,0.0020754552,0.0018988827,0.0013757669,0.000026835032,0.0000100097,0.0016841267,0.00004720046,0.008127564],"genre_scores_gemma":[0.9988343,0.00036998812,0.00010568763,0.000042445794,0.00002227166,0.0000036407866,0.00033651726,0.0000036579377,0.00028149816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980146,0.000035215147,0.00002042852,0.00005663803,0.00003742867,0.000048916198],"domain_scores_gemma":[0.9940469,0.0016019174,0.0032554753,0.0003723891,0.00043177855,0.0002915431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006961039,0.00012261646,0.00014355702,0.0015594884,0.0002683155,0.00127977,0.000169606,0.0002900643,0.0015168295],"category_scores_gemma":[0.0069853254,0.000113382186,0.00015352842,0.0029604775,0.000493185,0.00052449835,0.000575249,0.00038971324,0.0001691233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002066013,0.000047734087,0.9156031,0.00007197328,0.000085368,0.00039055478,0.0010252751,0.009494745,0.0016373789,0.020519616,0.0051670773,0.045750685],"study_design_scores_gemma":[0.000011679063,0.000032001655,0.97371835,0.000041087493,0.000030171574,0.00018306312,0.00035246654,0.0066230833,0.0005618368,0.0103558535,0.008070552,0.000019721067],"about_ca_topic_score_codex":0.01563928,"about_ca_topic_score_gemma":0.018064074,"teacher_disagreement_score":0.01563928,"about_ca_system_score_codex":0.0010200493,"about_ca_system_score_gemma":0.00036941527,"threshold_uncertainty_score":0.031096518},"labels":[],"label_agreement":null},{"id":"W3185174044","doi":"10.2139/ssrn.3758135","title":"Built to Last, Flip or Profit? Exploration-Exploitation and the Survival, Acquisition, and Profitability of Start-ups","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; York University; University of Calgary","funders":"","keywords":"Profitability index; Profit (economics); Start up; Business; Survival of the fittest; Industrial organization; Economics; Finance; Microeconomics; Business administration","score_opus":0.02678071002685461,"score_gpt":0.23863861577812773,"score_spread":0.2118579057512731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185174044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848385,0.0013107845,0.000512349,0.0018592943,0.000016077443,0.000005453636,0.00009280278,0.0000107845835,0.0077086776],"genre_scores_gemma":[0.99835145,0.0002267067,0.000057256453,0.000037864746,0.000012950371,0.0000018267558,0.000022286978,0.000002342985,0.0012873828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996117,0.0001055015,0.000012468806,0.00004171366,0.00005033173,0.00017836764],"domain_scores_gemma":[0.9902492,0.0045878473,0.0021415064,0.0002521225,0.0005141449,0.0022551883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012728221,0.00014859713,0.00034894887,0.00073750556,0.00089249265,0.0036537363,0.00037744912,0.0013502326,0.008242433],"category_scores_gemma":[0.007914983,0.000116325275,0.00021818734,0.00075506046,0.0024709147,0.0033875902,0.001399759,0.001324065,0.00079318095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001510365,0.00053026964,0.8275523,0.00012924288,0.00012596515,0.0011013129,0.00324033,0.0033777992,0.0018911088,0.07000655,0.004890287,0.085644595],"study_design_scores_gemma":[0.00007548842,0.00073186227,0.7930034,0.00023731848,0.00012960438,0.0008129868,0.020748049,0.0065587726,0.0015291172,0.16793716,0.008147946,0.0000882996],"about_ca_topic_score_codex":0.002775391,"about_ca_topic_score_gemma":0.006731857,"teacher_disagreement_score":0.008242433,"about_ca_system_score_codex":0.0008248,"about_ca_system_score_gemma":0.00083287666,"threshold_uncertainty_score":0.027573645},"labels":[],"label_agreement":null},{"id":"W3186818742","doi":"","title":"Benchmarking the Productivity Performance of New Zealand’s Frontier Firms","year":2021,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmarking; Frontier; Microdata (statistics); Productivity; Economics; Labour economics; Convergence (economics); Production–possibility frontier; Economic geography; Business; Economic growth; Geography; Population","score_opus":0.027805421370266467,"score_gpt":0.230284657288237,"score_spread":0.2024792359179705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186818742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373686,0.00021361238,0.00025346133,0.00007794619,0.0000037210807,0.000015081017,0.0013453625,0.0000098922865,0.004344093],"genre_scores_gemma":[0.9953629,0.0002654675,0.00028630995,0.0000087436965,0.000005842243,0.000008683922,0.0026879548,0.0000053593344,0.0013688293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910885,0.0000701173,0.000096109085,0.00017642709,0.0003474294,0.00020105035],"domain_scores_gemma":[0.99473923,0.00058290164,0.0022838167,0.0003183845,0.0014948561,0.0005809235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012524846,0.00026430108,0.00031177292,0.0038587768,0.00036966839,0.0015346148,0.0003863858,0.00020450847,0.0017337325],"category_scores_gemma":[0.0069325166,0.00012130742,0.0002777088,0.004758873,0.00043206377,0.0010816714,0.0011000066,0.00028652526,0.00035460194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023913878,0.00006835327,0.9493372,0.00017217179,0.00016448155,0.00041533605,0.0019229419,0.0024788177,0.00436795,0.0012032763,0.001773798,0.037856545],"study_design_scores_gemma":[0.000004144664,0.000040794017,0.99594986,0.000009504591,0.000014916018,0.00006564006,0.0006880555,0.00069895847,0.00048069688,0.00005953931,0.0019799308,0.000008037799],"about_ca_topic_score_codex":0.18408921,"about_ca_topic_score_gemma":0.19570786,"teacher_disagreement_score":0.18408921,"about_ca_system_score_codex":0.0020962749,"about_ca_system_score_gemma":0.0011906656,"threshold_uncertainty_score":0.3660354},"labels":[],"label_agreement":null},{"id":"W3192993719","doi":"10.3390/jrfm14080358","title":"Applying Quantile Regression to Assess the Relationship between R&amp;D, Technology Import and Patent Performance in Taiwan","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Investment (military); Quantile regression; Competition (biology); Industrial organization; Empirical research; Scale (ratio); Patent application; Endowment; Economics; Econometrics; Engineering","score_opus":0.08700928255870001,"score_gpt":0.26689577522917046,"score_spread":0.17988649267047047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192993719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953479,0.00017396493,0.0031412812,0.00008976134,0.0000050137533,0.0000112013895,0.0003078849,0.000052608437,0.0008704313],"genre_scores_gemma":[0.9988231,0.000043203705,0.00033775132,0.000008214929,0.0000040349914,0.000006521142,0.00032721824,0.0000052437385,0.00044464198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994254,0.00018948168,0.000043474764,0.00013703687,0.00007360266,0.0001309949],"domain_scores_gemma":[0.9955064,0.003014796,0.00081060035,0.00023111582,0.00028881352,0.00014815609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00199813,0.00026935895,0.00029895865,0.001572144,0.00015345804,0.00081008265,0.00040359885,0.00047641978,0.0023491012],"category_scores_gemma":[0.007082016,0.00012297757,0.00066217565,0.0018714766,0.0002399443,0.00062306545,0.00044994702,0.0006121216,0.00034910062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012668189,0.00012924972,0.9586906,0.000027400041,0.00015299578,0.00029236914,0.00016700526,0.018048387,0.00072637934,0.00097300456,0.00050881074,0.020157143],"study_design_scores_gemma":[0.000012359777,0.00017521853,0.8537729,0.0000131755105,0.00010206478,0.00012569434,0.0004835979,0.14295594,0.0007785292,0.0007389576,0.0008210014,0.000020467342],"about_ca_topic_score_codex":0.024727184,"about_ca_topic_score_gemma":0.009556479,"teacher_disagreement_score":0.024727184,"about_ca_system_score_codex":0.0006496115,"about_ca_system_score_gemma":0.0005002264,"threshold_uncertainty_score":0.04916656},"labels":[],"label_agreement":null},{"id":"W3193406628","doi":"","title":"An Empirical Study of Development Processes in Foreign-Owned Subsidiaries in Canada and Scotland (1997)","year":2003,"lang":"en","type":"article","venue":"Palgrave Macmillan Books","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidiary; Multinational corporation; Internationalization; Context (archaeology); Business; Empirical research; Corporation; Resource (disambiguation); Foreign direct investment; Industrial organization; International trade; Political science; Geography; Mathematics; Finance; Computer science","score_opus":0.03136306771913706,"score_gpt":0.23523322354078166,"score_spread":0.2038701558216446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193406628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950578,0.00021872894,0.000061715335,0.0001550939,0.0000065540844,0.00005229652,0.0007847838,0.0000045349443,0.0036585238],"genre_scores_gemma":[0.99477553,0.0003327696,0.0001656234,0.000075239106,0.0000060616558,0.000025962196,0.00081147806,0.0000048915176,0.0038024003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983619,0.00011662973,0.00004572189,0.00013436373,0.000537254,0.00080415595],"domain_scores_gemma":[0.9944237,0.00059121085,0.0009183351,0.00011829833,0.0026196546,0.0013289185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067045115,0.000343604,0.00041913838,0.0042162607,0.005817858,0.0028386605,0.0011144801,0.00043494365,0.0040869205],"category_scores_gemma":[0.0035977198,0.00030230748,0.00028094233,0.009757528,0.0018836994,0.00072678534,0.0017220426,0.0006478683,0.00045999512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017462572,0.000297361,0.88608515,0.0001452001,0.000028598084,0.0021034586,0.06933659,0.00035318165,0.00082620134,0.003101745,0.006910689,0.030637069],"study_design_scores_gemma":[0.000012290735,0.00007196416,0.88724345,0.000053456584,0.000014185808,0.00019158168,0.09381776,0.00037790515,0.0002646837,0.0000745206,0.017853744,0.000024509289],"about_ca_topic_score_codex":0.97764516,"about_ca_topic_score_gemma":0.989141,"teacher_disagreement_score":0.03896627,"about_ca_system_score_codex":0.03896627,"about_ca_system_score_gemma":0.02856112,"threshold_uncertainty_score":0.2827214},"labels":[],"label_agreement":null},{"id":"W3197027726","doi":"10.5267/j.uscm.2021.6.013","title":"Driving growth performance shaped by environmental uncertainty and integrative strategy: The supply chain analysis of business transformation in ICT companies","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Business; Path analysis (statistics); Competition (biology); Marketing; Creativity; Knowledge management; Industrial organization; Supply chain; Information technology; Process management; Computer science; Psychology","score_opus":0.013621577003785558,"score_gpt":0.20254159991539947,"score_spread":0.18892002291161392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197027726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643123,0.000070347036,0.0014001919,0.00011767696,0.0000015653934,0.000012672959,0.000029404768,0.00000443453,0.001932475],"genre_scores_gemma":[0.99957305,0.00004774513,0.00023617203,0.000004037097,8.7251743e-7,0.0000044092917,0.00002491434,0.0000011292334,0.0001076763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942976,0.00022509028,0.000038193688,0.0000685651,0.00011307375,0.00012525641],"domain_scores_gemma":[0.9951615,0.0028928798,0.0009958862,0.00012650446,0.0005073965,0.0003158321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012570256,0.0003476645,0.00022140204,0.0018553857,0.00048895396,0.0023942317,0.00024312896,0.00047611204,0.0014600933],"category_scores_gemma":[0.005281499,0.0001353831,0.00040422575,0.001823756,0.0007327561,0.0021580153,0.0014480051,0.0005391293,0.000182332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011936973,0.00016817416,0.94711906,0.00006935735,0.00008939272,0.0007173367,0.0031551532,0.016867425,0.0010876213,0.0050327666,0.0001641993,0.025410183],"study_design_scores_gemma":[0.000011770762,0.00030783835,0.8294751,0.00013303068,0.00012670353,0.00037539654,0.028650831,0.1205195,0.0025032668,0.016053783,0.0017892644,0.000053575055],"about_ca_topic_score_codex":0.005738615,"about_ca_topic_score_gemma":0.0049450193,"teacher_disagreement_score":0.005738615,"about_ca_system_score_codex":0.0014053602,"about_ca_system_score_gemma":0.0016087474,"threshold_uncertainty_score":0.011410415},"labels":[],"label_agreement":null},{"id":"W3197443878","doi":"10.4067/s0718-27242021000200019","title":"Do Large Firms Pursue More Process Innovation? A Case of Canadian Manufacturing Industries","year":2021,"lang":"en","type":"article","venue":"Journal of technology management & innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sample (material); Process (computing); Test (biology); Variable (mathematics); Business; Marketing; Innovation process; Econometrics; Sample size determination; Outcome (game theory); Selection bias; Selection (genetic algorithm); Industrial organization; Economics; Statistics; Computer science; Work in process; Microeconomics; Mathematics; Artificial intelligence","score_opus":0.029071445918889306,"score_gpt":0.25771337241331094,"score_spread":0.22864192649442164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197443878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98191756,0.00062679633,0.0004829333,0.0019143721,0.0000049927403,0.000044472912,0.00045558717,0.000015255828,0.014537896],"genre_scores_gemma":[0.9983931,0.00017629615,0.00027318724,0.0000754791,0.000004341642,0.000005630039,0.00013139707,0.0000019678532,0.0009387311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795794,0.00026964757,0.000043792144,0.00027067453,0.000445391,0.0010125492],"domain_scores_gemma":[0.9912525,0.0034040294,0.0018404755,0.0006119991,0.0017864753,0.0011045671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020267025,0.00031467158,0.0004207326,0.0038370756,0.0040031536,0.00275454,0.0011074587,0.001431642,0.0044234847],"category_scores_gemma":[0.012261673,0.00016532534,0.0006108013,0.0061774757,0.0017959918,0.001629903,0.0011494631,0.0009584064,0.00023895875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003621639,0.00025506844,0.8893545,0.0001785031,0.00011376251,0.0059122853,0.011025,0.0032418268,0.0017255363,0.03729897,0.0047815354,0.045750756],"study_design_scores_gemma":[0.000080256,0.00005944892,0.93602496,0.00009044671,0.00016578425,0.0008106729,0.0300871,0.012148254,0.0009765852,0.006352046,0.013124712,0.0000797551],"about_ca_topic_score_codex":0.9626003,"about_ca_topic_score_gemma":0.969256,"teacher_disagreement_score":0.9813242,"about_ca_system_score_codex":0.018675819,"about_ca_system_score_gemma":0.011771856,"threshold_uncertainty_score":0.13550317},"labels":[],"label_agreement":null},{"id":"W3197520298","doi":"10.3390/joitmc7030191","title":"From Catching Up to Convergence of the Latecomer Firms: Comparing Behavior and Innovation Systems of Firms in Korea and the US","year":2021,"lang":"en","type":"article","venue":"Journal of Open Innovation Technology Market and Complexity","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Profitability index; Convergence (economics); Corporate governance; Shareholder; Business; Dividend; Monetary economics; Industrial organization; Economics; Finance; Macroeconomics","score_opus":0.0738074552940512,"score_gpt":0.2842260236428275,"score_spread":0.2104185683487763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197520298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995134,0.000054319687,0.000040207287,0.000018854467,5.720087e-7,0.000002317203,0.000039373994,0.0000010377079,0.00032990714],"genre_scores_gemma":[0.9995906,0.000040583353,0.000031620184,0.000010901019,0.0000011736755,0.0000014876292,0.00013673742,9.807754e-7,0.00018594692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965775,0.000049259306,0.000044232253,0.000088453664,0.00005913186,0.00010124159],"domain_scores_gemma":[0.99645966,0.0006054046,0.0015461898,0.00019251822,0.0005712589,0.0006250846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084063417,0.00012332588,0.0002526712,0.0020120717,0.0002930793,0.0011692814,0.00022615603,0.00031922368,0.001114564],"category_scores_gemma":[0.003084887,0.00010060975,0.00028358714,0.0013765751,0.00033233326,0.0010736919,0.0011585635,0.00038805517,0.00018757534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008028846,0.000039720435,0.98998296,0.000014655456,0.000034135126,0.00012991452,0.002178972,0.0001675706,0.0010219748,0.00026819544,0.000102555256,0.0059790667],"study_design_scores_gemma":[0.0000022141326,0.000063445885,0.9959752,0.000008254738,0.000009980435,0.00010964171,0.0027868354,0.00032243718,0.00025116678,0.00006533676,0.00039902725,0.0000064326414],"about_ca_topic_score_codex":0.006968991,"about_ca_topic_score_gemma":0.010457864,"teacher_disagreement_score":0.006968991,"about_ca_system_score_codex":0.00042049383,"about_ca_system_score_gemma":0.00034460032,"threshold_uncertainty_score":0.013856888},"labels":[],"label_agreement":null},{"id":"W3197898946","doi":"10.1007/978-3-030-73303-2_20","title":"Socioeconomic Impact of SLE: Metrics Utilized in the Determination of Direct and Indirect Costs and Future Directions","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Indirect costs; Productivity; Economic cost; Socioeconomic status; Economic impact analysis; Work (physics); Economics; Investment (military); Public economics; Medicine; Environmental health; Engineering; Economic growth; Microeconomics","score_opus":0.02764749795534479,"score_gpt":0.24973260784458462,"score_spread":0.22208510988923982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197898946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49530253,0.011939177,0.052719623,0.0047960347,0.00026195074,0.00019131674,0.013883081,0.00020553614,0.4207008],"genre_scores_gemma":[0.96578395,0.00491411,0.011945667,0.00008340493,0.000109795576,0.000049363076,0.002236551,0.000056016837,0.014821103],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991327,0.00029650785,0.000060157992,0.000061605504,0.00036314907,0.00008592025],"domain_scores_gemma":[0.99598265,0.0017876637,0.0007855019,0.00020021475,0.0010016658,0.00024241008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014152756,0.00046310216,0.00032620804,0.0042324695,0.0003777931,0.0027009053,0.00053523947,0.0003949224,0.010692527],"category_scores_gemma":[0.007567201,0.00012051878,0.0004670034,0.006692185,0.00090906164,0.002193376,0.001213856,0.00065798435,0.0009129582],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014176825,0.00016904745,0.35649523,0.00049500534,0.00022886848,0.0005786685,0.001139967,0.021321047,0.0007886969,0.24271694,0.010850698,0.36507416],"study_design_scores_gemma":[0.000012346333,0.0002801616,0.64874965,0.00097480975,0.00021895109,0.0013748343,0.0059220036,0.03953078,0.0030700427,0.19368963,0.10606868,0.00010815291],"about_ca_topic_score_codex":0.0077941385,"about_ca_topic_score_gemma":0.015320972,"teacher_disagreement_score":0.010692527,"about_ca_system_score_codex":0.0017282886,"about_ca_system_score_gemma":0.0010122817,"threshold_uncertainty_score":0.03577012},"labels":[],"label_agreement":null},{"id":"W3200989219","doi":"10.7202/1081419ar","title":"Issues and Challenges of African Small and Medium Sized Manufacturing Enterprises: The case of Benin","year":2021,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Order (exchange); Business; Industrial organization; Small and medium-sized enterprises; Business environment; Business administration; Finance","score_opus":0.07050532928896584,"score_gpt":0.2808394039077351,"score_spread":0.21033407461876924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200989219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8872119,0.00744241,0.0004139665,0.031990457,0.000087949506,0.00005172475,0.000029172134,0.000005855988,0.07276656],"genre_scores_gemma":[0.9883123,0.0023782253,0.00019136105,0.00092287804,0.000021551781,0.0000146821185,0.0000074771765,0.000004628074,0.008146871],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988086,0.00049467455,0.000018570872,0.000044373537,0.00006184507,0.0005719574],"domain_scores_gemma":[0.9991061,0.00035871708,0.00014638936,0.00001737398,0.000074307034,0.00029708786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010708974,0.00045503993,0.00028811817,0.0008357423,0.013820481,0.0060203536,0.0009019872,0.003697609,0.0065781884],"category_scores_gemma":[0.0012920672,0.00027400392,0.00017568158,0.001510174,0.0050227195,0.00292458,0.0037159456,0.0021062985,0.00038191638],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043635687,0.00040024452,0.039878454,0.0009184876,0.000040495142,0.12164471,0.44548663,0.0022284347,0.003453115,0.323137,0.012484116,0.049892034],"study_design_scores_gemma":[0.00001953891,0.000077131954,0.024035124,0.0009376674,0.000020413741,0.005296944,0.79915345,0.0007074993,0.00060421164,0.014238061,0.15487216,0.000037772446],"about_ca_topic_score_codex":0.04028152,"about_ca_topic_score_gemma":0.0703741,"teacher_disagreement_score":0.04028152,"about_ca_system_score_codex":0.006134117,"about_ca_system_score_gemma":0.004911093,"threshold_uncertainty_score":0.08009416},"labels":[],"label_agreement":null},{"id":"W3201219790","doi":"","title":"Évaluation de l’écosystème d’innovation : Défis d’implantation d’un robot mobile d’assistance et de téléprésence en santé","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Computer science","score_opus":0.024814194040886136,"score_gpt":0.26034414155504454,"score_spread":0.2355299475141584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201219790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8554216,0.0032756354,0.115861185,0.0015529158,0.00020197421,0.00025683417,0.00091337675,0.00024485632,0.02227168],"genre_scores_gemma":[0.9795542,0.00039565124,0.017815126,0.000086384185,0.000025562576,0.00015105939,0.00031577717,0.00003703727,0.0016191778],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9923881,0.0032704142,0.00043602777,0.0009715057,0.0024296145,0.0005043603],"domain_scores_gemma":[0.97342867,0.018599052,0.0018545089,0.0014109706,0.003969096,0.00073777646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009980932,0.0010727369,0.000957065,0.0025367613,0.00072176877,0.0053761266,0.0010012634,0.003355891,0.0041997284],"category_scores_gemma":[0.031785574,0.00039379986,0.0011537628,0.0016837183,0.0023901728,0.0038908436,0.002040071,0.0008773187,0.0006023693],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008390945,0.0011332765,0.25014412,0.0036735306,0.0011938942,0.0011380424,0.0045783445,0.21099809,0.071383625,0.06443059,0.0039625973,0.37897295],"study_design_scores_gemma":[0.0006074005,0.007471008,0.28819153,0.0014656695,0.0011591631,0.0021329687,0.007660719,0.5016425,0.09794559,0.0576664,0.033615705,0.00044135086],"about_ca_topic_score_codex":0.0043740263,"about_ca_topic_score_gemma":0.0026544693,"teacher_disagreement_score":0.009980932,"about_ca_system_score_codex":0.002622259,"about_ca_system_score_gemma":0.0016979543,"threshold_uncertainty_score":0.05278486},"labels":[],"label_agreement":null},{"id":"W3203004198","doi":"","title":"Twenty years of job flows in an emerging country","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Panel data; Job creation; Business; Wage; Demographic economics; Wage growth; Job security; Social security; Economics; Work (physics); Market economy","score_opus":0.054019852269384584,"score_gpt":0.31172324326748246,"score_spread":0.25770339099809786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203004198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579525,0.0010414819,0.00024922183,0.0002729482,0.00002089965,0.00000720389,0.0011353351,0.00000618435,0.0014714097],"genre_scores_gemma":[0.9950347,0.0007779908,0.0001938479,0.00012219294,0.000028214507,0.00002711363,0.002130704,0.0000043573164,0.0016809474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979514,0.000051642517,0.00001775608,0.000045483008,0.000024209025,0.0000657769],"domain_scores_gemma":[0.99910104,0.00012608987,0.00043593696,0.000040182844,0.00011025613,0.00018652386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080091046,0.00016959808,0.00025107642,0.00068297464,0.00082694757,0.001030402,0.00025567444,0.0003115239,0.0022849264],"category_scores_gemma":[0.0014117796,0.00017559584,0.00025007373,0.0012273366,0.00025581417,0.00068807835,0.0010647684,0.00064466853,0.00032133516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009503619,0.00007997028,0.97797567,0.000083836996,0.00006912329,0.0004065233,0.0036118713,0.0008530001,0.00027037607,0.0012620947,0.0021052943,0.013187273],"study_design_scores_gemma":[0.0000032746848,0.00004381062,0.99108386,0.00007395712,0.000017805078,0.000076997756,0.0025912155,0.0006011386,0.0000620667,0.00021166782,0.0052260347,0.000008151121],"about_ca_topic_score_codex":0.05186232,"about_ca_topic_score_gemma":0.053713392,"teacher_disagreement_score":0.05186232,"about_ca_system_score_codex":0.0005574756,"about_ca_system_score_gemma":0.0004786676,"threshold_uncertainty_score":0.10312092},"labels":[],"label_agreement":null},{"id":"W3203671608","doi":"10.1111/cwe.12388","title":"Did the Labor Contract Law Affect the Capital Deepening and Efficiency of Chinese Private Firms?","year":2021,"lang":"en","type":"article","venue":"China & World Economy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Labour economics; Capital (architecture); Competitor analysis; Economics; China; Capital deepening; Productivity; Total factor productivity; Business; Market economy; Human capital; Capital formation; Financial capital; Economic growth; Law","score_opus":0.008647419802192358,"score_gpt":0.20795191580147634,"score_spread":0.199304495999284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203671608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515605,0.00017172006,0.00018405382,0.0008555943,0.0000062449903,0.000017698181,0.000095730764,0.000003806899,0.0035091226],"genre_scores_gemma":[0.9992706,0.000050906245,0.000026821408,0.00005396997,0.000006784846,0.0000030703936,0.000039493894,6.2666885e-7,0.0005477258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844944,0.00022634049,0.000127853,0.00019957019,0.00037969917,0.00061706715],"domain_scores_gemma":[0.9894162,0.0025429348,0.0050217826,0.00069460727,0.0014607046,0.00086384115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028401697,0.000112955386,0.000324615,0.0011368943,0.00076913426,0.00170269,0.0005485585,0.00054502,0.0031563833],"category_scores_gemma":[0.009430987,0.00016032613,0.0003417243,0.0013348612,0.0016513884,0.0011391096,0.0007715028,0.00063437177,0.00015157576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012055269,0.00012087699,0.9621187,0.000055282388,0.00006957334,0.00041899574,0.002157553,0.0018597009,0.0009420803,0.013774261,0.0010151792,0.017347327],"study_design_scores_gemma":[0.000018947752,0.000052758533,0.98948133,0.000022137492,0.000029066703,0.000048714628,0.0014683065,0.0032220138,0.00049391086,0.0027387922,0.0024091539,0.000014939885],"about_ca_topic_score_codex":0.084859006,"about_ca_topic_score_gemma":0.07417982,"teacher_disagreement_score":0.084859006,"about_ca_system_score_codex":0.0045374194,"about_ca_system_score_gemma":0.0045703896,"threshold_uncertainty_score":0.16873014},"labels":[],"label_agreement":null},{"id":"W3204987142","doi":"10.1162/rest_a_01289","title":"Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic","year":2023,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Social distance; Harm; Construct (python library); Coronavirus disease 2019 (COVID-19); Business; Panel data; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic geography; Development economics; Economics; Political science; Disease; Infectious disease (medical specialty); Econometrics; Medicine; Computer science","score_opus":0.11313193040198909,"score_gpt":0.2869935746281156,"score_spread":0.1738616442261265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204987142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793761,0.008965635,0.0007941116,0.0039576823,0.000047405887,0.000026313806,0.0014142253,0.000010017251,0.005408496],"genre_scores_gemma":[0.9965585,0.002258452,0.00011708633,0.00023956354,0.00005026215,0.000010042111,0.00038594927,0.0000026286202,0.00037754918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981577,0.0009847168,0.00010436884,0.00025769605,0.00020964652,0.00028587287],"domain_scores_gemma":[0.9567438,0.027575323,0.010816386,0.0016711719,0.0019830503,0.0012102698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041752993,0.00024208784,0.00049550546,0.0012429617,0.00058159087,0.0012074445,0.0006909144,0.001133927,0.004273468],"category_scores_gemma":[0.018551355,0.00016345161,0.0008151749,0.0020222417,0.0016782802,0.001014398,0.0014419045,0.0014963056,0.0004170988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009991839,0.0005314599,0.93591356,0.00068014156,0.0015428162,0.000595599,0.0014472918,0.0070388075,0.00033806288,0.0067704464,0.0047050673,0.039437506],"study_design_scores_gemma":[0.00019017195,0.00060663803,0.97712326,0.00037432494,0.000992991,0.00011905821,0.0029207626,0.0044378187,0.00049205404,0.004818128,0.007883081,0.00004175277],"about_ca_topic_score_codex":0.03358337,"about_ca_topic_score_gemma":0.022504918,"teacher_disagreement_score":0.03358337,"about_ca_system_score_codex":0.00093326526,"about_ca_system_score_gemma":0.0007335302,"threshold_uncertainty_score":0.0667758},"labels":[],"label_agreement":null},{"id":"W3205020628","doi":"","title":"Enhancing national innovative capacity: The impact of high-tech international trade and inward foreign direct investment","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Innovator; Foreign direct investment; Intellectual property; Business; Productivity; International trade; Developing country; Emerging markets; International economics; Investment (military); Economics; Economic growth; Entrepreneurship; Finance; Political science","score_opus":0.02046070197560973,"score_gpt":0.23568354316568987,"score_spread":0.21522284119008014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205020628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981295,0.0014728605,0.0002886384,0.00074565987,0.00002113921,0.000016741353,0.000269979,0.0000114466675,0.015878575],"genre_scores_gemma":[0.9985251,0.00041793942,0.000057086414,0.000035774974,0.000018783532,0.0000052139344,0.0001385606,0.000002404347,0.0007990355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879116,0.000407166,0.000059940117,0.00014071261,0.00019140435,0.0004095933],"domain_scores_gemma":[0.968965,0.018387424,0.0064453967,0.0007849184,0.0009201093,0.0044971323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020516075,0.0004218163,0.00047147964,0.0015747097,0.00037062468,0.0026566642,0.0004360627,0.00091877684,0.0089959055],"category_scores_gemma":[0.010662103,0.00011673241,0.0011956806,0.0018206977,0.0014109758,0.0020515528,0.002324687,0.0013331071,0.0006488851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035143737,0.00041956015,0.9751008,0.000110741385,0.0006212785,0.0006318143,0.00029783635,0.004145652,0.0003784494,0.004933094,0.0005819117,0.012427447],"study_design_scores_gemma":[0.000022275066,0.00025996374,0.99143887,0.00009976921,0.00034869497,0.0001502543,0.0012401413,0.0019248808,0.00045516755,0.00225445,0.0017906391,0.0000148273175],"about_ca_topic_score_codex":0.004728142,"about_ca_topic_score_gemma":0.004500855,"teacher_disagreement_score":0.0089959055,"about_ca_system_score_codex":0.0009214924,"about_ca_system_score_gemma":0.0015248371,"threshold_uncertainty_score":0.030094326},"labels":[],"label_agreement":null},{"id":"W3205284820","doi":"10.1016/j.jfineco.2021.10.005","title":"Shielding firm value: Employment protection and process innovation","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tsinghua University; Social Sciences and Humanities Research Council of Canada; Universität Duisburg-Essen; Lunds Universitet; City University of Hong Kong; Lancaster University; Cyprus University of Technology; University of Hong Kong; York University; Michigan State University","keywords":"Dismissal; Business; Labour economics; Investment (military); Industrial organization; Production (economics); Value (mathematics); Capital (architecture); Process (computing); Economics; Microeconomics","score_opus":0.037619107067621796,"score_gpt":0.23643390816454316,"score_spread":0.19881480109692135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205284820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8974551,0.0028759683,0.027158309,0.010558164,0.00015275426,0.00003138087,0.00014141208,0.00011548412,0.061511412],"genre_scores_gemma":[0.9970636,0.00018654492,0.0003010701,0.0001239931,0.00008360304,0.0000021889116,0.000009397586,0.0000059650324,0.002223696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99903476,0.00029124197,0.000039946044,0.00014993023,0.00018478175,0.0002993794],"domain_scores_gemma":[0.9859702,0.008946041,0.0021575612,0.0013825356,0.0006289882,0.000914713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021883056,0.0003899576,0.0007034504,0.000721273,0.0006228131,0.00322846,0.0007813635,0.0028656076,0.014648037],"category_scores_gemma":[0.013293664,0.0002555197,0.00057210063,0.0006066782,0.0031475064,0.004325992,0.0021024654,0.0016951729,0.00055386586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000823253,0.00063380954,0.028652273,0.00028190017,0.00014098201,0.0010456521,0.0009429195,0.015645558,0.010493598,0.8634562,0.0026821396,0.07520168],"study_design_scores_gemma":[0.00011608424,0.00022454832,0.019370697,0.00006288739,0.00008935085,0.0002466691,0.0006141155,0.012398088,0.0051151407,0.9580757,0.003652429,0.00003435465],"about_ca_topic_score_codex":0.00065162586,"about_ca_topic_score_gemma":0.00072016753,"teacher_disagreement_score":0.014648037,"about_ca_system_score_codex":0.0009721896,"about_ca_system_score_gemma":0.0008879035,"threshold_uncertainty_score":0.049002588},"labels":[],"label_agreement":null},{"id":"W3208369227","doi":"10.1111/1756-2171.70056","title":"Preemptive Entry and Technology Diffusion: The Market for Drive-in Theaters","year":2021,"lang":"en","type":"report","venue":"The RAND Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Diffusion; Business; Industrial organization; Computer science; Advertising; Physics","score_opus":0.034988911422140966,"score_gpt":0.23548462771046966,"score_spread":0.20049571628832868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208369227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853725,0.000418682,0.0024602837,0.0005761752,0.000009353598,0.00002360441,0.0001025103,0.000013489259,0.011023461],"genre_scores_gemma":[0.99859554,0.00009026023,0.000132678,0.00002447644,0.000010652445,0.00000390401,0.00003242898,0.0000021369374,0.0011079538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994904,0.00016015506,0.00002544116,0.00008591152,0.00012292908,0.000115080555],"domain_scores_gemma":[0.9825456,0.009323354,0.0055598035,0.0007010263,0.0007358788,0.0011341971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014737998,0.00015046092,0.00041159533,0.0006334109,0.00044464288,0.0028129367,0.00047976142,0.0007995349,0.006163846],"category_scores_gemma":[0.0134087615,0.00014525451,0.0003367943,0.00049288635,0.0011132022,0.0023265092,0.0010541229,0.0013068944,0.0004999204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023738346,0.0021253505,0.5880691,0.00037626203,0.00030413055,0.0015120276,0.0041295006,0.027025523,0.012117887,0.25330615,0.0066917343,0.10196854],"study_design_scores_gemma":[0.0003418504,0.0014569846,0.7348645,0.00017672328,0.0001921127,0.000980291,0.007113569,0.10831786,0.0061848094,0.12121567,0.01899213,0.00016349377],"about_ca_topic_score_codex":0.0031779518,"about_ca_topic_score_gemma":0.003515729,"teacher_disagreement_score":0.006163846,"about_ca_system_score_codex":0.0007593152,"about_ca_system_score_gemma":0.000491552,"threshold_uncertainty_score":0.020620108},"labels":[],"label_agreement":null},{"id":"W3209515844","doi":"10.1007/s10842-021-00373-5","title":"Exit Decisions in the Canadian Grain Elevator Industry","year":2021,"lang":"en","type":"article","venue":"Journal of Industry Competition and Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Elevator; Competition (biology); Linkage (software); Industrial organization; Business; Investment (military); Agricultural economics; Economics; Economic geography; Engineering","score_opus":0.05408311881872653,"score_gpt":0.24757533590011968,"score_spread":0.19349221708139314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209515844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872773,0.00014810456,0.00005673761,0.0006811994,0.0000078208905,0.000017403041,0.00031216908,0.0000055869773,0.011493779],"genre_scores_gemma":[0.98288673,0.00012742393,0.000031721927,0.000107698164,0.000004306517,0.0000027008211,0.0004251627,0.0000032380567,0.016411059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886477,0.000059609785,0.000018262603,0.00006502947,0.00020315443,0.00078921835],"domain_scores_gemma":[0.9966408,0.0006132462,0.00038955174,0.000049332342,0.0008522276,0.0014548145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012074261,0.00021977184,0.00041306167,0.0011921388,0.0036317308,0.002833784,0.0008329882,0.0018241144,0.008549963],"category_scores_gemma":[0.003079725,0.00016956411,0.0004639434,0.00097644934,0.0010733999,0.0006112552,0.00082920236,0.002061349,0.0007767558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020785958,0.00074792915,0.9097066,0.00007734742,0.000071370996,0.0012292502,0.0053816554,0.009016372,0.0023467322,0.013007421,0.017390547,0.03894626],"study_design_scores_gemma":[0.000048056318,0.00011841187,0.9672953,0.00004670776,0.000028716762,0.000051048562,0.016467791,0.005129814,0.00038808878,0.00084138167,0.009533114,0.000051787625],"about_ca_topic_score_codex":0.95065767,"about_ca_topic_score_gemma":0.98859555,"teacher_disagreement_score":0.049342334,"about_ca_system_score_codex":0.020724066,"about_ca_system_score_gemma":0.018232465,"threshold_uncertainty_score":0.15036434},"labels":[],"label_agreement":null},{"id":"W3215749711","doi":"10.32920/14664768.v1","title":"Small Companies and Value Capture from their Intellectual Properties: a Qualitative Study","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Intellectual capital; Value capture; Business; Value (mathematics); Resource (disambiguation); Value creation; Empirical research; Industrial organization; Small business; Marketing; Resource-based view; Knowledge management; Competitive advantage; Finance; Computer science","score_opus":0.1564957037643657,"score_gpt":0.2647881780638393,"score_spread":0.10829247429947361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215749711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98490614,0.00036387506,0.002077258,0.0020034257,0.000027572296,0.00012509577,0.00014965422,0.000008384755,0.010338558],"genre_scores_gemma":[0.9939237,0.00048755927,0.00062539254,0.00046155773,0.000010773417,0.00013305622,0.000066720146,0.000009790158,0.004281399],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9954601,0.0031116935,0.00010598899,0.00026465213,0.0004604145,0.000597121],"domain_scores_gemma":[0.98245347,0.014996363,0.00080182863,0.00024940778,0.0006939143,0.00080512965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051692096,0.00031691333,0.00040208446,0.0015189114,0.0046925317,0.0028869843,0.0008662521,0.0013187195,0.0044928547],"category_scores_gemma":[0.011564907,0.00028670998,0.00018695414,0.0012426747,0.005206759,0.0038364197,0.0032213097,0.0016749367,0.00035386003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033917695,0.000054592198,0.0046871845,0.00015928036,0.000003553356,0.0012796646,0.97811115,0.00006371217,0.0019914748,0.0060072215,0.00074566866,0.0068625854],"study_design_scores_gemma":[0.0000024374003,0.00002639363,0.0018969999,0.0000857325,0.000001974014,0.00027102447,0.98422354,0.00011738309,0.00042075283,0.0005776636,0.012368896,0.0000071759596],"about_ca_topic_score_codex":0.0046368935,"about_ca_topic_score_gemma":0.007529589,"teacher_disagreement_score":0.0051692096,"about_ca_system_score_codex":0.0035739017,"about_ca_system_score_gemma":0.0023236943,"threshold_uncertainty_score":0.02733773},"labels":[],"label_agreement":null},{"id":"W3215949690","doi":"10.33423/jabe.v22i2.2796","title":"Industry Lifecycle of Nigeria’s Telecom Sector: Possible Trajectories after Deregulation","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Washington","keywords":"Deregulation; Commission; Mobile phone; Telecommunications; Business; Wireless; Mobile telephony; Phone; Industrial organization; Economics; Finance; Engineering; Market economy; Mobile radio","score_opus":0.022729780052424726,"score_gpt":0.18744460037477018,"score_spread":0.16471482032234544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215949690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889187,0.0006027692,0.00045659454,0.00049343135,0.000009148142,0.00003168276,0.00050436216,0.0000083001705,0.008974925],"genre_scores_gemma":[0.99677074,0.00048037787,0.0002757878,0.000023749368,0.0000030743622,0.000009110678,0.00044606425,0.0000027175693,0.0019883574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977225,0.000025708268,0.000014744683,0.000030285504,0.00005642106,0.00010064599],"domain_scores_gemma":[0.99877805,0.00022968768,0.00036637575,0.000035293215,0.0004529032,0.00013763813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907405,0.00014521214,0.00013200963,0.0014012132,0.00063927064,0.0018794218,0.00020891157,0.0004598033,0.002617987],"category_scores_gemma":[0.0019580175,0.00015634748,0.00022170812,0.0014599555,0.00034990345,0.0015869432,0.0007579449,0.00043636496,0.00038884376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005237285,0.0002725779,0.8737484,0.00020984471,0.000027192658,0.0025527312,0.009440392,0.0041725226,0.0039776512,0.025551999,0.0026276996,0.07689522],"study_design_scores_gemma":[0.000009851771,0.00021844804,0.94257146,0.00016817001,0.000015689788,0.00043221336,0.025056506,0.0047121486,0.00213147,0.0034541574,0.021203872,0.0000259569],"about_ca_topic_score_codex":0.019579487,"about_ca_topic_score_gemma":0.021858245,"teacher_disagreement_score":0.019579487,"about_ca_system_score_codex":0.0019208201,"about_ca_system_score_gemma":0.0015762623,"threshold_uncertainty_score":0.03893107},"labels":[],"label_agreement":null},{"id":"W327040762","doi":"","title":"Strategies for SMEs after Global Recession","year":2011,"lang":"en","type":"article","venue":"Global business and management research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Dynamism; Business; China; Financial crisis; Global recession; International trade; Economy; Economics; Geography","score_opus":0.13634364650921635,"score_gpt":0.3303130634405799,"score_spread":0.19396941693136358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W327040762","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09299199,0.023922691,0.002516845,0.64070827,0.0039647906,0.00034044535,0.0003837857,0.0005228275,0.2346484],"genre_scores_gemma":[0.6973147,0.032824907,0.0033651744,0.0963785,0.0017274146,0.0004979316,0.0005091754,0.0001254228,0.16725673],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990576,0.00029399907,0.00003807144,0.00004834587,0.00009974827,0.00046216676],"domain_scores_gemma":[0.99698347,0.00029081086,0.00026398627,0.00007460938,0.00047962222,0.0019075017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015000312,0.0005876382,0.00028809565,0.0009118632,0.002977986,0.0053746654,0.0009868301,0.00521269,0.023250008],"category_scores_gemma":[0.0038806647,0.00011436848,0.00038395042,0.0009877284,0.0012028654,0.0039507435,0.008778029,0.0025288814,0.0048351404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014899821,0.00042360643,0.016795747,0.0024821176,0.000042467855,0.0109096505,0.055099238,0.0005625071,0.003945151,0.06762896,0.51091313,0.33104843],"study_design_scores_gemma":[0.000026314892,0.00021126823,0.008949884,0.0019701503,0.000018941348,0.0014036068,0.06648066,0.00023238928,0.0005999749,0.011563927,0.9085201,0.000022590491],"about_ca_topic_score_codex":0.002330068,"about_ca_topic_score_gemma":0.0030032592,"teacher_disagreement_score":0.023250008,"about_ca_system_score_codex":0.0011457087,"about_ca_system_score_gemma":0.0067287204,"threshold_uncertainty_score":0.077779055},"labels":[],"label_agreement":null},{"id":"W344716755","doi":"10.2139/ssrn.2599140","title":"Imitation to Innovation: Technological Catch-up Strategy of Late Movers in Emerging Economies","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"First-mover advantage; Imitation; Leapfrogging; Technological change; Industrial organization; Absorptive capacity; Competition (biology); Competitive advantage; Economics; Business; Marketing; Economic growth","score_opus":0.045253551448096084,"score_gpt":0.25512009125444357,"score_spread":0.20986653980634748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W344716755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896947,0.00022593662,0.0019603188,0.00046751666,0.000006287477,0.000012843749,0.000022461525,0.000015110559,0.007594811],"genre_scores_gemma":[0.9980386,0.00006953464,0.00015907624,0.000021757529,0.0000048582533,0.0000030463582,0.000009868018,0.0000014609591,0.0016918341],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999759,0.000067383844,0.000010817328,0.00004334481,0.000026744128,0.00009267728],"domain_scores_gemma":[0.99664116,0.0014930629,0.0008484166,0.00024031912,0.00023304326,0.0005440336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010508287,0.00016042861,0.00037179477,0.0006195658,0.00069088576,0.0018965184,0.0005683936,0.0014666575,0.004481176],"category_scores_gemma":[0.005102911,0.0001137339,0.00038180532,0.00038789024,0.00086690526,0.0015028258,0.0011848696,0.0007561258,0.00046309418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018670496,0.00070840685,0.51357466,0.0003815454,0.00035159633,0.00868892,0.016099898,0.022189606,0.01831212,0.2413405,0.0066697435,0.16981594],"study_design_scores_gemma":[0.0003126959,0.0016826062,0.47037545,0.00024348368,0.00036571277,0.0039031357,0.049118306,0.13231505,0.007520352,0.31688917,0.017108222,0.00016574061],"about_ca_topic_score_codex":0.0023816288,"about_ca_topic_score_gemma":0.002597478,"teacher_disagreement_score":0.004481176,"about_ca_system_score_codex":0.00050800276,"about_ca_system_score_gemma":0.00047392005,"threshold_uncertainty_score":0.014990985},"labels":[],"label_agreement":null},{"id":"W36001758","doi":"10.1227/ons.0000000000000333","title":"Mergers and Market Power: Estimating the Effect on Market Power of the Proposed Acquisition by The Coca-Cola Company of Cadbury-Schweppes' Carbonated Soft Drinks in Canada","year":2002,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coca cola; Power (physics); Coca; Market power; Soft drink; Soft power; Business; Cola (plant); Economics; Advertising; Market economy; Chemistry; Food science; Political science; Law; Medicine","score_opus":0.006418738426211548,"score_gpt":0.17263387735625194,"score_spread":0.1662151389300404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W36001758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863523,0.00012143025,0.00018025488,0.00018932988,0.000004302149,0.000014740744,0.0003137196,0.000008742811,0.0005322202],"genre_scores_gemma":[0.9991431,0.000055045464,0.00010949854,0.000011140266,0.000007826743,0.0000037577483,0.00028365513,0.0000020579257,0.00038380627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867994,0.00054783426,0.000056837376,0.000193512,0.00019019526,0.0003316536],"domain_scores_gemma":[0.96902865,0.021779079,0.005067596,0.00061046396,0.0011519312,0.0023622112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035668537,0.00047333876,0.0004555273,0.001362897,0.0008234999,0.0016230419,0.0009868183,0.0011492267,0.002112778],"category_scores_gemma":[0.023270758,0.0003051103,0.0007375041,0.0016167831,0.001507058,0.00089478365,0.0009173838,0.0016922655,0.00026049398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008631527,0.00026332188,0.974663,0.0000135100545,0.00021968009,0.00013789693,0.00021250133,0.014242761,0.00022581572,0.00089473574,0.0007374165,0.007526172],"study_design_scores_gemma":[0.00008362783,0.00032724105,0.9100531,0.000012910372,0.00016982968,0.00005232078,0.0010063703,0.08643994,0.00052295614,0.0004535452,0.00084569276,0.000032547585],"about_ca_topic_score_codex":0.7544759,"about_ca_topic_score_gemma":0.6554043,"teacher_disagreement_score":0.24552411,"about_ca_system_score_codex":0.0067689465,"about_ca_system_score_gemma":0.0047009173,"threshold_uncertainty_score":0.49394006},"labels":[],"label_agreement":null},{"id":"W38371761","doi":"10.1021/acsomega.3c03921","title":"Three perspectives on Canadian mining: Evolutionary, resource-based, and strategic","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for Central Universities of the Central South University","keywords":"Competitor analysis; Business; Population; Possession (linguistics); Position (finance); Portfolio; Resource (disambiguation); Resource-based view; Strategic alliance; Strategic management; Industrial organization; Marketing; Competitive advantage; Alliance; Finance; Geography; Demography","score_opus":0.031027308628243107,"score_gpt":0.214713846961708,"score_spread":0.1836865383334649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38371761","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05550456,0.019175354,0.019960634,0.39020228,0.0011756521,0.00011421967,0.00031092798,0.00020020557,0.5133562],"genre_scores_gemma":[0.87440217,0.017732082,0.014356639,0.02078439,0.00031742113,0.00006150714,0.0001494858,0.00009607512,0.072100244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737334,0.0005391476,0.00007228507,0.0002493579,0.00073137385,0.0010344975],"domain_scores_gemma":[0.9979709,0.0002675289,0.00012124997,0.00011606708,0.0009346928,0.0005896133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026849792,0.00055073,0.0004447376,0.002119743,0.007350557,0.008497724,0.0022504334,0.0031740386,0.008084865],"category_scores_gemma":[0.003990102,0.0002457919,0.00040219392,0.0037599495,0.013668865,0.0054437188,0.004016711,0.002848437,0.0005203149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000619992,0.00003609174,0.004748067,0.00021101018,0.000028748727,0.00052115787,0.005558418,0.0013720504,0.0005569758,0.9168152,0.014680833,0.05540949],"study_design_scores_gemma":[0.000025391922,0.00006125973,0.007878105,0.0004605219,0.000034713994,0.00047008877,0.0321938,0.0026747228,0.0013118983,0.38316068,0.5716122,0.00011658639],"about_ca_topic_score_codex":0.79893667,"about_ca_topic_score_gemma":0.8753784,"teacher_disagreement_score":0.20106333,"about_ca_system_score_codex":0.058742195,"about_ca_system_score_gemma":0.096030995,"threshold_uncertainty_score":0.42620647},"labels":[],"label_agreement":null},{"id":"W40772282","doi":"","title":"Imports and retailers in Canada: does size matter?","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Production (economics); Product (mathematics); Dispersion (optics); Estimation; Retail trade; Market size; Negative correlation; Positive correlation; Agricultural economics; Demographic economics; Economics; Commerce; Mathematics","score_opus":0.009630060567840897,"score_gpt":0.1679111817864772,"score_spread":0.1582811212186363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W40772282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98126936,0.001113756,0.0001847419,0.0011497604,0.000012489961,0.000021280895,0.0021814217,0.000020941217,0.014046224],"genre_scores_gemma":[0.99369735,0.0007569634,0.00013121683,0.00007734634,0.0000069307525,0.000004927964,0.0011746731,0.000008721069,0.0041419235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898,0.00005552455,0.000028097715,0.00012905819,0.0004855278,0.0003217208],"domain_scores_gemma":[0.99406755,0.0013318675,0.0012871152,0.00019176744,0.0020398055,0.0010818418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006358072,0.00031160383,0.00045979742,0.0017531359,0.0025317783,0.0025347655,0.0008691132,0.00038684666,0.006420381],"category_scores_gemma":[0.005110472,0.00027468582,0.00064308685,0.004809428,0.0017004237,0.0010435644,0.001245953,0.00082661037,0.0003603644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013803331,0.00004185148,0.9816289,0.00004502383,0.000078547,0.00029858988,0.0013164757,0.0010912699,0.00017875363,0.0020840024,0.0017434882,0.011355113],"study_design_scores_gemma":[0.0000072746748,0.000020598618,0.99033535,0.00005106411,0.000049994036,0.000082976345,0.0036882844,0.00093838776,0.00021338793,0.00032702993,0.0042630765,0.000022461278],"about_ca_topic_score_codex":0.9868486,"about_ca_topic_score_gemma":0.9926571,"teacher_disagreement_score":0.02364515,"about_ca_system_score_codex":0.02364515,"about_ca_system_score_gemma":0.026361007,"threshold_uncertainty_score":0.17155838},"labels":[],"label_agreement":null},{"id":"W4200116327","doi":"10.1177/1069031x211068072","title":"Timing Market Entry: The Mediation Effect of Market Potential","year":2021,"lang":"en","type":"article","venue":"Journal of International Marketing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Attractiveness; Business; Multinational corporation; Market segmentation; Market penetration; Industrial organization; Econometrics; Marketing; Economics","score_opus":0.009632575112805379,"score_gpt":0.22057543430201085,"score_spread":0.21094285918920547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200116327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870754,0.00032804033,0.003775224,0.00061474723,0.000027248781,0.00005826816,0.00047259167,0.000039461604,0.0076089674],"genre_scores_gemma":[0.9982193,0.00006961903,0.00055717805,0.000033447697,0.000011364172,0.0000152295825,0.00018075551,0.000006794184,0.0009064569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858296,0.00063947856,0.000081771635,0.000275641,0.00015959499,0.00026047864],"domain_scores_gemma":[0.9645393,0.027077671,0.004862155,0.0011745046,0.0008176056,0.0015286964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026758371,0.0004810654,0.0006668774,0.00094425323,0.00057149975,0.003173191,0.00066993537,0.00075470586,0.008413941],"category_scores_gemma":[0.020105598,0.00027254203,0.0011072309,0.0010337215,0.00083567813,0.0023970045,0.0020133234,0.001721454,0.000789448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082541123,0.00032775966,0.9594176,0.00008932065,0.00032804455,0.00044784823,0.0011542081,0.0026355837,0.0011343767,0.007920506,0.0007746456,0.024944618],"study_design_scores_gemma":[0.00010138765,0.0007765248,0.94843906,0.000095902404,0.0006390357,0.00024076729,0.0032525044,0.02730836,0.002101312,0.0131198745,0.0038521625,0.00007312714],"about_ca_topic_score_codex":0.0075608436,"about_ca_topic_score_gemma":0.006077914,"teacher_disagreement_score":0.008413941,"about_ca_system_score_codex":0.00066656416,"about_ca_system_score_gemma":0.00092728605,"threshold_uncertainty_score":0.028147459},"labels":[],"label_agreement":null},{"id":"W4200525695","doi":"10.3386/w29552","title":"Technology, Vintage-Specific Human Capital, and Labor Displacement: Evidence from Linking Patents with Occupations","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Vintage; Human capital; Displacement (psychology); Labour economics; Economics; Capital (architecture); Business; Demographic economics; Art; Market economy; Geography; Psychology; Visual arts","score_opus":0.42133864589207365,"score_gpt":0.466216805205704,"score_spread":0.04487815931363037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200525695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737984,0.00027294253,0.0003972796,0.00012188237,0.000002598952,0.000004970683,0.00038915436,0.0000036581537,0.0014276976],"genre_scores_gemma":[0.99887365,0.00013860698,0.000109466186,0.000020083986,0.0000072361877,0.000004939812,0.00033608088,0.0000011791568,0.0005086873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995291,0.00011993054,0.000039524577,0.00008401495,0.0001251707,0.00010215453],"domain_scores_gemma":[0.98154116,0.008070548,0.008070953,0.0010643664,0.00046382268,0.000789156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086734234,0.00015625924,0.00018587327,0.0013968113,0.0003379965,0.0007723707,0.0005216562,0.00039379814,0.0042558317],"category_scores_gemma":[0.010246329,0.00013661115,0.000288055,0.0025101462,0.00071776053,0.00064011227,0.0010106345,0.00041073383,0.00042309173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054785458,0.00008753414,0.99128586,0.00001459892,0.000057306414,0.000085692795,0.0003146255,0.00082644174,0.00020119044,0.0006442559,0.00019455761,0.0062333057],"study_design_scores_gemma":[0.0000048498623,0.000048141927,0.9971998,0.000014468523,0.00001994751,0.00005709999,0.00030713037,0.0008152675,0.00015403626,0.00083746016,0.00053709274,0.0000047733834],"about_ca_topic_score_codex":0.012379824,"about_ca_topic_score_gemma":0.0118927,"teacher_disagreement_score":0.012379824,"about_ca_system_score_codex":0.0002964796,"about_ca_system_score_gemma":0.00029766798,"threshold_uncertainty_score":0.024615526},"labels":[],"label_agreement":null},{"id":"W4205667458","doi":"10.1177/0970846420020205","title":"A Study of Growth, Marginal Productivities, MRS, Factor and Elasticity of Substitution in Small Metal Product Industry","year":2002,"lang":"en","type":"article","venue":"SEDME (Small Enterprises Development Management & Extension Journal) A worldwide window on MSME Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Elasticity of substitution; Substitution (logic); Elasticity (physics); Product (mathematics); Economics; Mathematics; Production (economics); Microeconomics; Materials science; Computer science; Composite material","score_opus":0.08433354151445525,"score_gpt":0.24379840591221832,"score_spread":0.15946486439776308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205667458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884672,0.00078494084,0.0036913354,0.00020743367,0.0000033131557,0.000005765795,0.00007589964,0.000014593201,0.0067493827],"genre_scores_gemma":[0.99780506,0.00036680017,0.00052567763,0.000008501805,0.0000075119087,0.0000024111866,0.000046171368,0.0000033236443,0.0012345135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999083,0.000034164976,0.0000041571275,0.000016468075,0.000017951006,0.000018890665],"domain_scores_gemma":[0.9965599,0.0028409048,0.0002279319,0.00010032233,0.00017870475,0.00009223336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004977918,0.00016213064,0.00023639845,0.0008700532,0.0003626447,0.0006998375,0.00021675827,0.00030124324,0.0023699834],"category_scores_gemma":[0.0027480677,0.00010272724,0.00045906103,0.0012154973,0.00057602534,0.0012194668,0.00029261023,0.00047176357,0.00028437746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071853027,0.00048259995,0.47601852,0.0002899301,0.00017366456,0.002420502,0.0051552593,0.0890023,0.019065287,0.24521153,0.0023590166,0.15910286],"study_design_scores_gemma":[0.000030223695,0.0006321419,0.6322765,0.00010247991,0.00012265942,0.0022233822,0.0077748224,0.17722991,0.010002515,0.15362506,0.015907738,0.00007252825],"about_ca_topic_score_codex":0.0043269843,"about_ca_topic_score_gemma":0.0025507146,"teacher_disagreement_score":0.0043269843,"about_ca_system_score_codex":0.0005309372,"about_ca_system_score_gemma":0.00035204168,"threshold_uncertainty_score":0.008603632},"labels":[],"label_agreement":null},{"id":"W4206065882","doi":"10.7202/1083637ar","title":"Quels impacts de l’aide financière sur la performance des établissements manufacturiers en région non-métropolitaines ? Une réponse par méthode d’appariement spatial","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.032376406537049096,"score_gpt":0.23663092681945655,"score_spread":0.20425452028240745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206065882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75858676,0.005134636,0.21936849,0.0016953109,0.00021379387,0.0009703067,0.0034100802,0.0005106785,0.010109985],"genre_scores_gemma":[0.8880817,0.0013304097,0.102072835,0.00015798176,0.000032669104,0.00045378107,0.001111258,0.000071110575,0.0066881543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937495,0.0040847873,0.00027359911,0.0008532434,0.0007082361,0.00033063308],"domain_scores_gemma":[0.9889636,0.007240426,0.0013543877,0.001156475,0.0011008038,0.0001842893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009529148,0.000791857,0.0012275074,0.001823544,0.00061459787,0.0024848436,0.0010577943,0.00072582666,0.0043316726],"category_scores_gemma":[0.021356925,0.00038736884,0.0017786972,0.0042229425,0.00077428523,0.001112254,0.0014004323,0.00076492265,0.00047870824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018513739,0.00032449438,0.42881274,0.0015959294,0.0047466503,0.00023988451,0.0018087983,0.17521012,0.0028433346,0.015356883,0.0027975636,0.36441234],"study_design_scores_gemma":[0.00041802743,0.0019127175,0.53766805,0.0011455605,0.0028821013,0.0004202947,0.006619442,0.38319483,0.010768615,0.016665583,0.038068756,0.00023598419],"about_ca_topic_score_codex":0.16216588,"about_ca_topic_score_gemma":0.15549973,"teacher_disagreement_score":0.8378341,"about_ca_system_score_codex":0.0030180567,"about_ca_system_score_gemma":0.0041911183,"threshold_uncertainty_score":0.32244396},"labels":[],"label_agreement":null},{"id":"W4206206813","doi":"10.1002/div.1681","title":"Tootsie Roll Industries Inc","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sugar; Business; Agricultural economics; Engineering; Advertising; Agricultural science; Art; Food science; Economics; Environmental science; Chemistry","score_opus":0.04263135289136295,"score_gpt":0.2170042411193483,"score_spread":0.17437288822798536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206206813","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015065935,0.00066061347,0.00037986305,0.0005397805,0.000267558,0.00005130602,0.002310955,0.0009195111,0.99336386],"genre_scores_gemma":[0.0037627467,0.0006168841,0.00027920763,0.00017449069,0.000037607962,0.000019512376,0.001934402,0.00012337859,0.99305177],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995284,0.000013750258,0.000015484973,0.00010436198,0.0002856486,0.000052447227],"domain_scores_gemma":[0.9993456,0.000052724416,0.00004877272,0.00010558715,0.00030554226,0.00014178565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002223665,0.0008172928,0.0003389591,0.0025411292,0.0013059723,0.0034595416,0.0005865157,0.0008973646,0.70241594],"category_scores_gemma":[0.00082192104,0.00041195276,0.00039779703,0.0020223863,0.0003162852,0.0015154934,0.0013202828,0.0010246123,0.5150509],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009637141,0.00014027055,0.0015240229,0.00019722282,0.000007319021,0.00022121427,0.00011729883,0.000099448305,0.0020703052,0.009984473,0.7452059,0.24033622],"study_design_scores_gemma":[0.0000068886898,0.0000212136,0.0010646802,0.000048953872,0.0000029422085,0.00011926536,0.00006192381,0.000059061695,0.00032498778,0.00045754417,0.997829,0.0000034260368],"about_ca_topic_score_codex":0.0069179367,"about_ca_topic_score_gemma":0.01980283,"teacher_disagreement_score":0.70241594,"about_ca_system_score_codex":0.0009352352,"about_ca_system_score_gemma":0.0019958643,"threshold_uncertainty_score":0.4244675},"labels":[],"label_agreement":null},{"id":"W4210528739","doi":"10.1080/26437015.2021.1971584","title":"The impact of corporate governance on long term survival of small businesses in Canada","year":2022,"lang":"en","type":"article","venue":"Journal of the International Council for Small Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Corporate governance; Staffing; Business; Stakeholder; Small business; Shareholder; Capital (architecture); Finance; Public relations; Economics; Management; Political science","score_opus":0.14150266132562261,"score_gpt":0.2310878335231494,"score_spread":0.08958517219752679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210528739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98005337,0.0010870715,0.00019362869,0.005739677,0.000030356143,0.000023960865,0.00068823894,0.000013368587,0.012170362],"genre_scores_gemma":[0.9972331,0.00033867735,0.00004860204,0.00011943069,0.0000041404337,0.0000029352989,0.00020856074,0.0000025954937,0.0020419436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813014,0.00013073483,0.000034910445,0.000087809545,0.00040793684,0.0012085992],"domain_scores_gemma":[0.9888672,0.00072746055,0.0011696741,0.00016321303,0.0043825926,0.004689843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011087582,0.00015635135,0.000306765,0.0009669652,0.005497134,0.0033072773,0.0009765872,0.00052318594,0.002575754],"category_scores_gemma":[0.0057033864,0.000099768644,0.00024510224,0.001578764,0.002106989,0.00086162856,0.002191786,0.0014614244,0.00015797882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003620532,0.00022034832,0.8846326,0.00009069038,0.00010516396,0.0011152576,0.009930357,0.004966611,0.00079205196,0.020976955,0.013038708,0.06376919],"study_design_scores_gemma":[0.000014830606,0.00007836896,0.96485716,0.00011190701,0.00004521426,0.00008249775,0.017342111,0.0027871244,0.00035210533,0.0016926817,0.01258685,0.00004920024],"about_ca_topic_score_codex":0.9925997,"about_ca_topic_score_gemma":0.99701893,"teacher_disagreement_score":0.07878648,"about_ca_system_score_codex":0.07878648,"about_ca_system_score_gemma":0.085323185,"threshold_uncertainty_score":0.5716386},"labels":[],"label_agreement":null},{"id":"W4212804829","doi":"10.1787/9789264266346-9-fr","title":"Entreprises par classe de taille","year":2017,"lang":"fr","type":"book-chapter","venue":"Panorama de l'entrepreneuriat","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Political science; Physics; Humanities; Geography; Forestry; Art","score_opus":0.031296998933381955,"score_gpt":0.2276457654010449,"score_spread":0.19634876646766294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212804829","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24861592,0.12856792,0.010674647,0.014744695,0.0032664307,0.00024641948,0.01754118,0.0008597761,0.57548296],"genre_scores_gemma":[0.4923203,0.071211696,0.005391635,0.0035701399,0.004310189,0.00020146577,0.01437053,0.0003209538,0.40830314],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998757,0.00011305919,0.00006548046,0.00026834264,0.00049537077,0.00030068716],"domain_scores_gemma":[0.99786025,0.00061435613,0.00068341807,0.00014157855,0.0003505211,0.00034984632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092822965,0.00072065124,0.0006922029,0.0034450283,0.00097286695,0.0031621514,0.00068904035,0.0011935988,0.051402956],"category_scores_gemma":[0.0029335876,0.0002464884,0.00097100047,0.0035422593,0.00064900634,0.002061615,0.0010702024,0.0018368808,0.016154222],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032312184,0.000452375,0.12381612,0.00088708726,0.00026163075,0.0011995424,0.0027423047,0.0006832799,0.0021883512,0.058695022,0.25449866,0.55425256],"study_design_scores_gemma":[0.000048885886,0.00020634536,0.22282739,0.0010087461,0.00014435676,0.0046735276,0.0015384066,0.0012391714,0.0012343961,0.024735788,0.74226063,0.00008244142],"about_ca_topic_score_codex":0.005715237,"about_ca_topic_score_gemma":0.005923425,"teacher_disagreement_score":0.051402956,"about_ca_system_score_codex":0.0007202235,"about_ca_system_score_gemma":0.0008796444,"threshold_uncertainty_score":0.17196},"labels":[],"label_agreement":null},{"id":"W4212861275","doi":"10.5539/jas.v14n3p12","title":"The Impact of State Ownership on the Productivity of China’s Agri-food Firms","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Quantile regression; Quantile; Panel data; Distribution (mathematics); Business; China; State ownership; Agricultural economics; Economics; Labour economics; Econometrics; Economic growth; Finance; Emerging markets; Geography","score_opus":0.03251460262203523,"score_gpt":0.22984576452060398,"score_spread":0.19733116189856875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212861275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983536,0.00017337097,0.00013525922,0.000118276424,0.0000036254971,0.0000030259882,0.00044194248,0.0000070662154,0.0007639024],"genre_scores_gemma":[0.99941266,0.00005306594,0.000013108813,0.0000071291506,0.0000032800392,9.978447e-7,0.0003066546,6.65984e-7,0.00020236587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953127,0.00006305635,0.000031312145,0.00009118313,0.00009272219,0.00019046436],"domain_scores_gemma":[0.99629056,0.00078133045,0.0016752695,0.0002542797,0.0005468533,0.00045167506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965956,0.00016912071,0.00022550834,0.0010761649,0.00033268833,0.0008790788,0.00026362058,0.00018289563,0.0018234807],"category_scores_gemma":[0.0033785645,0.00011280544,0.00043025802,0.0017573384,0.0004939535,0.00057861983,0.000676981,0.00035258144,0.00016657858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027554108,0.000016221877,0.9943591,0.0000068564386,0.000049930175,0.00007942249,0.00013132436,0.0006009481,0.00022594593,0.00023673105,0.00022453573,0.004041456],"study_design_scores_gemma":[0.0000016257147,0.000011183635,0.998485,0.000002503451,0.000016443033,0.000014641008,0.00012578435,0.0009517697,0.00009889267,0.00006584657,0.00022337129,0.0000027745582],"about_ca_topic_score_codex":0.05490785,"about_ca_topic_score_gemma":0.05586387,"teacher_disagreement_score":0.05490785,"about_ca_system_score_codex":0.0011745442,"about_ca_system_score_gemma":0.0008589412,"threshold_uncertainty_score":0.10917652},"labels":[],"label_agreement":null},{"id":"W4213073296","doi":"10.1787/9789264266346-21-fr","title":"Créations et destructions d'emplois dues aux naissances et décès d'entreprises","year":2017,"lang":"fr","type":"book-chapter","venue":"Panorama de l'entrepreneuriat","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.0727873045618366,"score_gpt":0.289635968489249,"score_spread":0.2168486639274124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213073296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52432245,0.073894404,0.014537596,0.005133197,0.0011859075,0.00010270217,0.004404414,0.00023628496,0.37618306],"genre_scores_gemma":[0.6684134,0.035268202,0.004464547,0.00032972224,0.00086302793,0.00012738467,0.0024883403,0.00011201387,0.28793344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99920815,0.00012803449,0.000040621213,0.00013538584,0.00033684957,0.00015093575],"domain_scores_gemma":[0.99656326,0.0017666558,0.0007758203,0.00023582314,0.00032068673,0.0003378597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014984702,0.00039565083,0.00037475597,0.0019479082,0.00077150716,0.0028432962,0.00049466407,0.00069528975,0.015713478],"category_scores_gemma":[0.0044833403,0.0002512361,0.0007002058,0.0019374791,0.0012237838,0.0018507588,0.0014404977,0.0012715451,0.0028372786],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046417513,0.00026531695,0.112247966,0.00093934574,0.00018955185,0.00086121884,0.008277058,0.0045010108,0.0037353102,0.17995657,0.042756505,0.6458059],"study_design_scores_gemma":[0.000029892373,0.0003639248,0.40473476,0.00093463133,0.00009868101,0.0029040207,0.0038711878,0.0023784232,0.0035299251,0.06682233,0.51423365,0.00009862324],"about_ca_topic_score_codex":0.0023310226,"about_ca_topic_score_gemma":0.003174561,"teacher_disagreement_score":0.015713478,"about_ca_system_score_codex":0.0014069336,"about_ca_system_score_gemma":0.00090692553,"threshold_uncertainty_score":0.052566826},"labels":[],"label_agreement":null},{"id":"W4213137876","doi":"10.3386/w29733","title":"A Structural Empirical Model of R&amp;D Investment, Firm Heterogeneity, and Industry Evolution","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Investment (military); Economics; Business","score_opus":0.6325249779085278,"score_gpt":0.5119757557934119,"score_spread":0.12054922211511587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213137876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6248807,0.00092925085,0.3445464,0.0033996142,0.000049587317,0.000291559,0.005501336,0.00048550576,0.019915992],"genre_scores_gemma":[0.9663662,0.00072406296,0.016291961,0.00011729685,0.000053937794,0.00021186833,0.0022809948,0.00003396919,0.013919792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991092,0.00027928635,0.00004212859,0.0003018228,0.00010371311,0.0001637991],"domain_scores_gemma":[0.9954977,0.002492751,0.0013143093,0.0002872253,0.00025730435,0.00015071871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018983425,0.0006305472,0.0011690798,0.0018431409,0.0006191343,0.001798458,0.0019798873,0.001787029,0.0079756705],"category_scores_gemma":[0.0063621625,0.0008718757,0.001217266,0.0024854168,0.0010469346,0.00322939,0.00094922207,0.0015960451,0.001523066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015782511,0.0002849016,0.03393893,0.00013073983,0.00018793726,0.00044975756,0.00032981657,0.7074362,0.0014051019,0.23543918,0.0021495987,0.018090103],"study_design_scores_gemma":[0.00015959886,0.000132766,0.012433841,0.000028502289,0.00011935096,0.00019722908,0.0001346735,0.907064,0.0004811959,0.07544169,0.003763162,0.000043943674],"about_ca_topic_score_codex":0.015469514,"about_ca_topic_score_gemma":0.01664973,"teacher_disagreement_score":0.015469514,"about_ca_system_score_codex":0.0024085783,"about_ca_system_score_gemma":0.001745944,"threshold_uncertainty_score":0.030758977},"labels":[],"label_agreement":null},{"id":"W4214806580","doi":"10.3982/ecta5997","title":"An Empirical Model of Growth Through Product Innovation","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":354,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Samfund og Erhverv, Det Frie Forskningsråd; National Science Foundation","keywords":"Economics; Productivity; Aggregate (composite); Growth model; Structural estimation; Growth theory; Econometrics; Panel data; Microeconomics; Resource (disambiguation); Product innovation; Product (mathematics); Creative destruction; Industrial organization; Macroeconomics; Mathematics; Computer science","score_opus":0.14828467565067133,"score_gpt":0.28482162582986514,"score_spread":0.13653695017919382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214806580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34436756,0.0036079215,0.51896685,0.010762134,0.0001831099,0.00043457525,0.0051160404,0.001027079,0.11553467],"genre_scores_gemma":[0.8860293,0.0033052494,0.033931073,0.000359953,0.00015506032,0.00044074317,0.0018683014,0.000096795535,0.07381355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922657,0.00020291196,0.000035706988,0.00025351252,0.00014819596,0.00013308445],"domain_scores_gemma":[0.99791235,0.0011976139,0.0003555194,0.00018613359,0.00023059473,0.00011783031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018726669,0.0007246869,0.0010150428,0.0017104686,0.00064685,0.002865778,0.002400021,0.0029867552,0.015439413],"category_scores_gemma":[0.005930895,0.00055789127,0.001418776,0.00256067,0.0014385566,0.004415099,0.0012360375,0.0015803997,0.0034345132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009802786,0.0001493048,0.005717729,0.00015226235,0.000072097115,0.00033772486,0.00039120638,0.31136873,0.0008211318,0.6509111,0.0038603044,0.026120514],"study_design_scores_gemma":[0.00015513643,0.00012985543,0.0035490666,0.000063402345,0.00006293955,0.00033872135,0.0001646817,0.64884245,0.0003471544,0.32798588,0.018316302,0.00004436052],"about_ca_topic_score_codex":0.010439356,"about_ca_topic_score_gemma":0.0050886967,"teacher_disagreement_score":0.015439413,"about_ca_system_score_codex":0.0022029444,"about_ca_system_score_gemma":0.001284661,"threshold_uncertainty_score":0.051649988},"labels":[],"label_agreement":null},{"id":"W4214870411","doi":"10.1080/10438599.2021.2024074","title":"Firm patenting and types of innovation. An empirical investigation on patenting determinants in developing countries","year":2022,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Developing country; Economics; Industrial organization; Business; Product (mathematics); Core (optical fiber); Induced innovation; Intellectual property; Technological change; Economic growth; Macroeconomics","score_opus":0.08029587030478574,"score_gpt":0.2664391301317784,"score_spread":0.18614325982699265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214870411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98177445,0.004821003,0.0021690398,0.00037348873,0.00002030499,0.00006581697,0.0017805394,0.000029639905,0.008965679],"genre_scores_gemma":[0.9980831,0.00068594713,0.00029328154,0.000011706238,0.000018907484,0.0000123283635,0.0002937482,0.0000028336042,0.0005981643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812645,0.0003556389,0.0002580965,0.00038858643,0.0005843353,0.00028696225],"domain_scores_gemma":[0.91011447,0.048537068,0.034153122,0.00227595,0.0022939185,0.0026254999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033676273,0.00018733868,0.0005792555,0.0051314645,0.0005074762,0.0020401904,0.0005731972,0.00068854017,0.006499406],"category_scores_gemma":[0.021105258,0.00015477135,0.0009655967,0.0068314667,0.0013837663,0.0018838905,0.0008074393,0.00090536755,0.00072261906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011761987,0.00011074134,0.95990324,0.00027888894,0.00024701242,0.0002671307,0.00035593065,0.0040909783,0.0008102555,0.007233374,0.0005078257,0.026077082],"study_design_scores_gemma":[0.000021820766,0.00015259108,0.9866173,0.00006556161,0.00012903956,0.00060736056,0.00045181828,0.0026055512,0.00089724245,0.00510608,0.0033221792,0.000023523193],"about_ca_topic_score_codex":0.0026121992,"about_ca_topic_score_gemma":0.0015834287,"teacher_disagreement_score":0.006499406,"about_ca_system_score_codex":0.00091473054,"about_ca_system_score_gemma":0.0005445858,"threshold_uncertainty_score":0.021742702},"labels":[],"label_agreement":null},{"id":"W4220802750","doi":"10.1111/ecca.12418","title":"Job Creation in Colombia Versus the USA: ‘Up‐or‐out Dynamics’ Meet ‘The Life Cycle of Plants’","year":2022,"lang":"en","type":"article","venue":"Economica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic shortage; Job creation; Dominance (genetics); Entrepreneurship; Economics; Productivity; Economic geography; Production (economics); Business cycle; Manufacturing sector; Business; Labour economics; Economic growth; Finance; Macroeconomics","score_opus":0.045106336935523815,"score_gpt":0.24046095718350338,"score_spread":0.19535462024797956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220802750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98655415,0.0005583572,0.00012491351,0.00052135927,0.000015397356,0.000007652033,0.001853833,0.0000112363205,0.010353146],"genre_scores_gemma":[0.9977933,0.0001883282,0.000040860406,0.000029117242,0.000006805393,0.0000029672663,0.00087022426,0.000004052702,0.0010643045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998406,0.000026074735,0.0000048669135,0.000028201688,0.00001876231,0.00008147582],"domain_scores_gemma":[0.9989818,0.0002750205,0.00030968484,0.000042220832,0.000141959,0.00024935117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033814588,0.00011491945,0.00018042822,0.00092259236,0.00048307827,0.001441612,0.000240759,0.00024324606,0.0046559894],"category_scores_gemma":[0.0015447086,0.00006469811,0.00012196227,0.0010802617,0.00029456592,0.00055036606,0.00063326454,0.0004698114,0.00038409448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025153745,0.000095259194,0.9637843,0.00008883512,0.000029469313,0.00019822846,0.0026992154,0.00047359828,0.0004880916,0.0018553539,0.005697408,0.024338737],"study_design_scores_gemma":[0.000004594472,0.000013419571,0.9911345,0.000024273879,0.0000070351516,0.00003783448,0.0041323937,0.00043909653,0.00008307862,0.00011290217,0.004003537,0.0000071540403],"about_ca_topic_score_codex":0.1725461,"about_ca_topic_score_gemma":0.29439318,"teacher_disagreement_score":0.1725461,"about_ca_system_score_codex":0.0011048344,"about_ca_system_score_gemma":0.000527065,"threshold_uncertainty_score":0.3430835},"labels":[],"label_agreement":null},{"id":"W4225614450","doi":"10.1016/j.intman.2022.100952","title":"Additive Manufacturing and Production Internationalization: An Internalization Perspective","year":2022,"lang":"en","type":"article","venue":"Journal of International Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Internationalization; Perspective (graphical); Internalization; Production (economics); Business; Industrial organization; International trade; Economics; Chemistry; Computer science; Microeconomics","score_opus":0.018269866125906743,"score_gpt":0.23641523560716632,"score_spread":0.21814536948125957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225614450","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2412312,0.015662692,0.20830917,0.017447269,0.0004273491,0.00009520027,0.00023223445,0.00013492377,0.51645994],"genre_scores_gemma":[0.96998066,0.0047595385,0.007510462,0.00033317588,0.0003381895,0.00003129265,0.00003871463,0.00002122093,0.016986696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99938834,0.00017081862,0.000032889133,0.00011612303,0.00012084331,0.00017099432],"domain_scores_gemma":[0.99832946,0.0008639367,0.00033418596,0.00020297607,0.00017474599,0.00009480392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079697854,0.00082789134,0.0006943826,0.0017102789,0.001010207,0.005187756,0.0013005913,0.0026240803,0.0130344145],"category_scores_gemma":[0.0017127676,0.00054801255,0.0014079799,0.0017507244,0.0045258338,0.008453341,0.0021833603,0.0024768773,0.00072667765],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011361776,0.000037719794,0.00049748836,0.000030978907,0.000011717565,0.00013814536,0.00014314122,0.0028102694,0.00028021468,0.991467,0.00031567397,0.0042562583],"study_design_scores_gemma":[0.000010358435,0.00005243413,0.0015355792,0.000093115654,0.00003824707,0.00027741992,0.0006785536,0.009581669,0.0005290046,0.980944,0.006239666,0.000019994188],"about_ca_topic_score_codex":0.002318746,"about_ca_topic_score_gemma":0.0022510653,"teacher_disagreement_score":0.0130344145,"about_ca_system_score_codex":0.0019534708,"about_ca_system_score_gemma":0.0011224844,"threshold_uncertainty_score":0.043604434},"labels":[],"label_agreement":null},{"id":"W4226276838","doi":"10.2139/ssrn.4022675","title":"The Value of Information in Competitive Markets: The Impact of Big Data on Small and Medium Enterprises","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Big data; Business; Industrial organization; Small and medium-sized enterprises; Value (mathematics); Competitive advantage; Commerce; Marketing; Data mining; Computer science; Mathematics; Statistics","score_opus":0.021418258464604524,"score_gpt":0.22995026895341655,"score_spread":0.20853201048881204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226276838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7109138,0.03901609,0.0058172345,0.15483144,0.00094175414,0.00008175998,0.0044667497,0.00013622252,0.08379507],"genre_scores_gemma":[0.9923753,0.004318427,0.00046851297,0.0010246056,0.00054602395,0.0000072032003,0.00029977653,0.00002248845,0.0009376973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962574,0.0017909182,0.00014287584,0.0003076019,0.0011607235,0.0003405752],"domain_scores_gemma":[0.73661786,0.22825655,0.01587788,0.0048253364,0.008700163,0.005722193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008473837,0.00035873285,0.00048535148,0.0031107068,0.0009784097,0.009036606,0.0011099328,0.0025737004,0.0058910437],"category_scores_gemma":[0.07226016,0.00032471467,0.0005758557,0.0044314736,0.0039375084,0.016437372,0.0026661998,0.0029549005,0.0005068709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021534439,0.0008966763,0.44569916,0.001505422,0.0008211318,0.001569288,0.003443662,0.02517497,0.0012838569,0.23210715,0.07082185,0.21452339],"study_design_scores_gemma":[0.0001794043,0.0005509203,0.28399345,0.0015587623,0.0004372968,0.00076270936,0.015330138,0.06771381,0.0030117766,0.56461775,0.061561182,0.0002828578],"about_ca_topic_score_codex":0.0077230376,"about_ca_topic_score_gemma":0.0074046715,"teacher_disagreement_score":0.009036606,"about_ca_system_score_codex":0.0020022353,"about_ca_system_score_gemma":0.0015639486,"threshold_uncertainty_score":0.044814527},"labels":[],"label_agreement":null},{"id":"W4229370211","doi":"10.1007/s40953-022-00302-1","title":"The Impact of R&amp;D and Advertising on Firm Performance in High-Tech Industries—Evidence from the U.S. Information and Communications Technology Industry","year":2022,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Carleton University","funders":"","keywords":"Market share; Marketing; Revenue; Business; Yield (engineering); Industrial organization; High tech; Manufacturing; Finance","score_opus":0.0843795463730668,"score_gpt":0.3006189103688031,"score_spread":0.21623936399573632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229370211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927307,0.0018459882,0.000044845918,0.0009459593,0.000015412963,0.0000044984467,0.0006293682,0.0000070523038,0.0037761389],"genre_scores_gemma":[0.9984932,0.0005193358,0.000019891359,0.00010628071,0.000030476254,0.0000012570298,0.00034708538,0.0000018746953,0.00048063262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901736,0.00036207843,0.00007578965,0.00011663877,0.00023452121,0.00019365195],"domain_scores_gemma":[0.97221,0.013624889,0.009489521,0.00058120326,0.0016827413,0.0024116929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017220589,0.00020801595,0.00019993681,0.0011882856,0.00033534662,0.0016209132,0.00037817436,0.0009671214,0.0029409246],"category_scores_gemma":[0.0076195444,0.00015515374,0.0004567208,0.002025984,0.0007246017,0.0007198173,0.00068595307,0.0009880705,0.0007192392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033899985,0.00028750137,0.98890185,0.000034640496,0.00014187278,0.00010521775,0.0000920103,0.0005666685,0.00022859391,0.00042241628,0.0011614467,0.007718784],"study_design_scores_gemma":[0.000012007955,0.00007913318,0.9985454,0.000012607292,0.00005213238,0.000023103796,0.00019092634,0.00037769382,0.00012425212,0.00012662486,0.0004513915,0.0000047603457],"about_ca_topic_score_codex":0.033349972,"about_ca_topic_score_gemma":0.06044024,"teacher_disagreement_score":0.033349972,"about_ca_system_score_codex":0.0008232194,"about_ca_system_score_gemma":0.0007406909,"threshold_uncertainty_score":0.06631166},"labels":[],"label_agreement":null},{"id":"W4230026513","doi":"10.4095/301116","title":"Growth Rate of Commercial Service Employment, 1986 to 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Business; Labour economics; Operations management; Economics; Marketing","score_opus":0.08687758398939524,"score_gpt":0.28196553945351877,"score_spread":0.19508795546412352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230026513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50876784,0.0033394836,0.00057419256,0.0017816492,0.0001530785,0.00013972944,0.45933622,0.00031905167,0.025588758],"genre_scores_gemma":[0.58853054,0.0066897795,0.000894422,0.0003855536,0.00019144038,0.00019269988,0.34132412,0.00010348296,0.0616879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988361,0.00007174709,0.00014605993,0.00019203791,0.00049326353,0.00026074846],"domain_scores_gemma":[0.9933975,0.00040724373,0.0016995404,0.0001653069,0.0037005884,0.00062978937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011793773,0.00055153447,0.00032568694,0.004319078,0.0005590117,0.0013385734,0.0009847747,0.0005476484,0.0040925355],"category_scores_gemma":[0.005734818,0.00030525812,0.00032808748,0.008266366,0.0002847424,0.0008925089,0.0010453993,0.0008989131,0.0046150167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007173687,0.00012270993,0.87992746,0.00035772784,0.00008424445,0.00031768976,0.0009978203,0.0014032831,0.0007627059,0.0008039812,0.058639366,0.055865668],"study_design_scores_gemma":[0.000013928015,0.000031909312,0.96705973,0.000067720175,0.0000140248085,0.000155378,0.00033504132,0.000361513,0.00048161665,0.000020327874,0.031449135,0.000009652033],"about_ca_topic_score_codex":0.46625447,"about_ca_topic_score_gemma":0.41207114,"teacher_disagreement_score":0.46625447,"about_ca_system_score_codex":0.00556725,"about_ca_system_score_gemma":0.0029616528,"threshold_uncertainty_score":0.9270811},"labels":[],"label_agreement":null},{"id":"W4230271161","doi":"10.1108/oxan-es240696","title":"Recession will deepen in fourth quarter in Argentina","year":2018,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Recession; Great recession; Political science; Geography; Keynesian economics; Economics; Archaeology","score_opus":0.022523624527001657,"score_gpt":0.24003929193604334,"score_spread":0.21751566740904169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230271161","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019404318,0.038645055,0.0008735343,0.49062988,0.059042405,0.00022385136,0.02421538,0.0016058797,0.36535978],"genre_scores_gemma":[0.0743462,0.03260333,0.0010886302,0.051778022,0.023668958,0.0005174064,0.019990262,0.0011458856,0.7948614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903274,0.00009548485,0.00006670164,0.00008821208,0.0002969332,0.00041999834],"domain_scores_gemma":[0.998063,0.00016279858,0.00039692852,0.00007904186,0.00059145194,0.00070674205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021150382,0.0007740721,0.00071437925,0.0008937615,0.0019194494,0.0047070207,0.0006444265,0.008437827,0.05057287],"category_scores_gemma":[0.0059059993,0.0003576064,0.00043160064,0.0010083565,0.00049492135,0.002897,0.002442096,0.0052923122,0.017875599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006266435,0.000022529477,0.0012159365,0.00008898072,0.0000045644906,0.00011260163,0.000082936866,0.0000688691,0.00011979616,0.0019879476,0.9845242,0.011708881],"study_design_scores_gemma":[0.000054933294,0.000024445293,0.018751131,0.00067836704,0.000010616875,0.00007767839,0.0005026285,0.00022415679,0.00018338676,0.0017303845,0.97773737,0.000025029412],"about_ca_topic_score_codex":0.03234755,"about_ca_topic_score_gemma":0.06010077,"teacher_disagreement_score":0.05057287,"about_ca_system_score_codex":0.0031211162,"about_ca_system_score_gemma":0.0048285457,"threshold_uncertainty_score":0.16918314},"labels":[],"label_agreement":null},{"id":"W4230954898","doi":"10.4018/978-1-5225-8903-7.ch062","title":"Collaboration, Innovation, and Funding as Survival Factors for Canadian Biotechnology SMEs","year":2019,"lang":"en","type":"book-chapter","venue":"Biotechnology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business; Product (mathematics); Position (finance); Production (economics); New product development; Industrial organization; Intellectual property; Hazard; Process (computing); Biotechnology; Accounting; Marketing; Finance; Economics; Political science; Biology","score_opus":0.042431637076832694,"score_gpt":0.23431434392525075,"score_spread":0.19188270684841804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230954898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972499,0.004859548,0.0010199095,0.0028324795,0.0000289709,0.0000310053,0.0009578166,0.000025020465,0.017746251],"genre_scores_gemma":[0.99527514,0.0013114989,0.00021713131,0.000054860557,0.000019695724,0.000010057826,0.00031689674,0.0000050600415,0.0027896012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989687,0.00015038943,0.000045849218,0.00006907614,0.00031709147,0.00044889902],"domain_scores_gemma":[0.9882317,0.00449474,0.0029885967,0.00021406366,0.0019726595,0.0020981445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019459086,0.00025375883,0.0003307674,0.0023939516,0.0022548975,0.0024899312,0.00055256265,0.00073651137,0.0043007922],"category_scores_gemma":[0.013582605,0.000085143605,0.0005890271,0.00442022,0.0014613187,0.0011502014,0.0014075267,0.0008288682,0.00023945708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017274127,0.00006456643,0.8997772,0.00012828721,0.00007041273,0.000569649,0.005531842,0.004669821,0.00027414275,0.017897638,0.003967552,0.06687628],"study_design_scores_gemma":[0.000015009986,0.000114811555,0.95941836,0.00023219394,0.00011380776,0.00033551268,0.011323996,0.0064801197,0.00027171525,0.007661458,0.013979642,0.000053363823],"about_ca_topic_score_codex":0.74936867,"about_ca_topic_score_gemma":0.8402168,"teacher_disagreement_score":0.25063133,"about_ca_system_score_codex":0.012198493,"about_ca_system_score_gemma":0.020567287,"threshold_uncertainty_score":0.50421464},"labels":[],"label_agreement":null},{"id":"W4231967653","doi":"10.1016/s0026-0657(12)70021-8","title":"Stackpole bought from Gates Canada","year":2011,"lang":"en","type":"article","venue":"Metal Powder Report","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Divestment; Shareholder value; Equity (law); Business; Shareholder; Context (archaeology); Value (mathematics); Industrial organization; Accounting; Corporate governance; Finance","score_opus":0.05337566237383276,"score_gpt":0.19378731329542737,"score_spread":0.1404116509215946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231967653","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042235996,0.0044913613,0.0004750385,0.008978329,0.0018662508,0.0000845702,0.0044863843,0.00041231542,0.97498226],"genre_scores_gemma":[0.0038194521,0.0010271728,0.0001483288,0.00033037108,0.000044973527,0.000004323212,0.0004713055,0.00008047872,0.99407357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992366,0.000016433283,0.000015579682,0.00013866516,0.0004732569,0.00011949558],"domain_scores_gemma":[0.9988034,0.00007138104,0.00002640041,0.000056518664,0.0007110652,0.0003312094],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003871128,0.0006982537,0.00045309044,0.0021030488,0.005747679,0.005599472,0.00075759686,0.0018302039,0.5071552],"category_scores_gemma":[0.0012948342,0.00046448768,0.00037383696,0.0017259481,0.0007354873,0.001805726,0.0014562586,0.0014185673,0.11397072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007734471,0.00003486299,0.0015294281,0.00010001563,0.00000805361,0.00046829937,0.00023808109,0.00014640791,0.00091315515,0.022939866,0.8632724,0.11027214],"study_design_scores_gemma":[0.000002641414,0.000008409221,0.00092978094,0.000033468026,0.0000019427628,0.000050547987,0.0001134656,0.000044987,0.00021033059,0.00032641384,0.9982718,0.000006193301],"about_ca_topic_score_codex":0.44442317,"about_ca_topic_score_gemma":0.7712174,"teacher_disagreement_score":0.5555768,"about_ca_system_score_codex":0.009111703,"about_ca_system_score_gemma":0.013516583,"threshold_uncertainty_score":0.88367265},"labels":[],"label_agreement":null},{"id":"W4233534045","doi":"10.2307/j.ctv18phc5h.8","title":"Les PME manufacturières du Québec et les importations","year":2011,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.026943732864214132,"score_gpt":0.1832752801474654,"score_spread":0.15633154728325127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233534045","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31011468,0.11593076,0.003994556,0.018578315,0.00070134964,0.0000764239,0.010666849,0.00021369423,0.53972334],"genre_scores_gemma":[0.3570922,0.03248646,0.0021382517,0.00077502785,0.00012934017,0.000045787754,0.002754371,0.00007279001,0.6045057],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99929726,0.00006514734,0.000023257086,0.00009423595,0.00033141332,0.00018875457],"domain_scores_gemma":[0.9991499,0.00017517054,0.0001308881,0.000041222906,0.00039522225,0.00010752823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004156655,0.0005655705,0.00034887073,0.0023088183,0.0027311007,0.0031960602,0.0005874422,0.0008815318,0.02704083],"category_scores_gemma":[0.0015677977,0.00049860193,0.00043395962,0.006442502,0.0010027579,0.001115773,0.00045036557,0.0015817786,0.0014938228],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028847042,0.00014283578,0.085238874,0.0007986956,0.00013864572,0.0011336207,0.0054330756,0.0075163185,0.0043406337,0.15716831,0.15053418,0.58726627],"study_design_scores_gemma":[0.000017964601,0.00004851326,0.3214874,0.0004277962,0.000029948242,0.0002899918,0.0019786898,0.001648035,0.00074128946,0.0021117027,0.6711772,0.000041509087],"about_ca_topic_score_codex":0.98667866,"about_ca_topic_score_gemma":0.99362093,"teacher_disagreement_score":0.034905937,"about_ca_system_score_codex":0.034905937,"about_ca_system_score_gemma":0.024225434,"threshold_uncertainty_score":0.2532615},"labels":[],"label_agreement":null},{"id":"W4233802218","doi":"10.25115/eea.v36i1.2528","title":"Does Illiquidity Matter? An Errors-in-Variables Perspective","year":2019,"lang":"en","type":"article","venue":"Studies of Applied Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; University of Ottawa","funders":"","keywords":"Humanities; Philosophy","score_opus":0.028666782198521902,"score_gpt":0.24587108791864998,"score_spread":0.21720430572012808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233802218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18405592,0.05873615,0.58920485,0.112065226,0.005168207,0.00024919334,0.0033598156,0.0008603559,0.046300314],"genre_scores_gemma":[0.93629473,0.020363638,0.0189353,0.005117688,0.0062743924,0.00011163546,0.0013005531,0.0003303679,0.011271632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99278414,0.0027753192,0.00091052643,0.0013960599,0.0015495121,0.0005843371],"domain_scores_gemma":[0.8971366,0.07221977,0.01967379,0.00631007,0.0037959479,0.0008637305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016691402,0.0010362921,0.0022118324,0.002094579,0.0006535586,0.0070901145,0.0019935889,0.0027977524,0.008256423],"category_scores_gemma":[0.081353396,0.00044522053,0.0015568383,0.0034143783,0.0039070495,0.010362311,0.0020376116,0.0051893266,0.0011504551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002985791,0.00013900243,0.074450284,0.00079304934,0.0009904366,0.0005108391,0.0012111278,0.023373427,0.00043079408,0.78579694,0.010676105,0.10132945],"study_design_scores_gemma":[0.00007316322,0.0003062828,0.023197293,0.00094486855,0.00062308536,0.00029433423,0.0009777851,0.03810881,0.0016022732,0.895503,0.038213752,0.00015532793],"about_ca_topic_score_codex":0.00419567,"about_ca_topic_score_gemma":0.0020473825,"teacher_disagreement_score":0.016691402,"about_ca_system_score_codex":0.0011452967,"about_ca_system_score_gemma":0.001760428,"threshold_uncertainty_score":0.088273644},"labels":[],"label_agreement":null},{"id":"W4234575381","doi":"10.3917/rsg.239.0049","title":"Le champ de forces du marché et son évolution au cours de son cycle de vie : le cas du PC","year":2009,"lang":"fr","type":"article","venue":"˜La œRevue des sciences de gestion/˜La œRevue des sciences de gestion, Direction et gestion","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Humanities; Art; Philosophy; Physics","score_opus":0.06851874676523566,"score_gpt":0.28735204084599975,"score_spread":0.21883329408076407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234575381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.714887,0.0028824906,0.03478853,0.007946396,0.000373675,0.000050804043,0.0006213773,0.00025398112,0.23819573],"genre_scores_gemma":[0.9655016,0.00063297147,0.0034338206,0.000088137895,0.00010227277,0.000019725523,0.00008668841,0.00009483704,0.030039873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995819,0.00006417989,0.000012084256,0.00011611108,0.00013799476,0.000087799],"domain_scores_gemma":[0.9972053,0.0012163945,0.00038734413,0.00020406327,0.0005940375,0.00039292235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070452713,0.00031018496,0.00031954554,0.0016105513,0.0017277843,0.007004193,0.00071153406,0.0013865577,0.015077372],"category_scores_gemma":[0.009448113,0.0002950671,0.00029487672,0.0024556278,0.0019636864,0.0032392947,0.0011248287,0.0014825878,0.0009626178],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024344212,0.000062316096,0.046519574,0.000118768534,0.00005987871,0.00067710225,0.0047965,0.020768767,0.003061175,0.7724143,0.008960516,0.1423176],"study_design_scores_gemma":[0.000056511388,0.00016150279,0.17850538,0.00017801464,0.00008507093,0.0013044993,0.008764625,0.12481879,0.0024837637,0.42672786,0.25672987,0.00018411562],"about_ca_topic_score_codex":0.08299853,"about_ca_topic_score_gemma":0.04365817,"teacher_disagreement_score":0.08299853,"about_ca_system_score_codex":0.0030537043,"about_ca_system_score_gemma":0.001869824,"threshold_uncertainty_score":0.16503084},"labels":[],"label_agreement":null},{"id":"W4234640854","doi":"10.32920/14653380.v1","title":"Commercialization of Academic Research in Canadian Universities: Optimizing Technology Transfer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Commercialization; Technology transfer; Revenue; Business; Marketing; Engineering management; Engineering; Accounting","score_opus":0.12786187164970297,"score_gpt":0.3218023559058252,"score_spread":0.1939404842561222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234640854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210704,0.0020608332,0.0056914156,0.0037360436,0.00002779144,0.00030655263,0.00043861917,0.000113693175,0.06655468],"genre_scores_gemma":[0.99487704,0.0006328066,0.0011069326,0.00010360909,0.000011886303,0.000031907315,0.00014959602,0.000009619736,0.0030766898],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922391,0.0014586693,0.00029056918,0.0006412862,0.0028015906,0.0025687788],"domain_scores_gemma":[0.9831217,0.006120222,0.0031254278,0.0005344703,0.004397739,0.0027004443],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0052375346,0.00040766754,0.00064901344,0.0034919989,0.0041571697,0.007784222,0.0016315815,0.001215344,0.0045305407],"category_scores_gemma":[0.03245964,0.00042583628,0.00069370726,0.0058881403,0.0022027986,0.0028038146,0.0029342473,0.0013434644,0.00042523208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071053574,0.001058013,0.5682875,0.0006677241,0.0002636716,0.0011600306,0.0052966075,0.050203674,0.0048902193,0.08317389,0.0074002533,0.2768879],"study_design_scores_gemma":[0.00016687704,0.00042941666,0.8491767,0.00027000802,0.00033330193,0.00030625783,0.018330174,0.07495437,0.005849913,0.020564336,0.029490678,0.00012803206],"about_ca_topic_score_codex":0.83194613,"about_ca_topic_score_gemma":0.8351907,"teacher_disagreement_score":0.9947625,"about_ca_system_score_codex":0.062193118,"about_ca_system_score_gemma":0.068592854,"threshold_uncertainty_score":0.45124477},"labels":[],"label_agreement":null},{"id":"W4234665083","doi":"10.24124/2006/bpgub1317","title":"UNBC small and medium sized business consulting center: a market demand study","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"George (robot); Center (category theory); Supply and demand; Business; Engineering; Economics; Art; Art history; Chemistry; Microeconomics","score_opus":0.020677059632625117,"score_gpt":0.22217239021049315,"score_spread":0.20149533057786803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234665083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8976089,0.0012414503,0.0007877686,0.010866967,0.00009656163,0.00012370471,0.009400532,0.000071975504,0.07980221],"genre_scores_gemma":[0.86517394,0.001251642,0.00072108855,0.0010638424,0.000098958524,0.000096118456,0.004208574,0.00009265456,0.12729321],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996443,0.00006963721,0.000012005291,0.00003755027,0.00015375316,0.00008272976],"domain_scores_gemma":[0.99680305,0.0015603226,0.00021614654,0.000060240156,0.00075278484,0.00060749956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007584998,0.0001789336,0.00017554175,0.0015140986,0.0014150598,0.0012871897,0.00043176053,0.0006701512,0.022232315],"category_scores_gemma":[0.0034258333,0.0002073664,0.00011600714,0.002219208,0.00026978223,0.0014875174,0.00052663265,0.00076736405,0.0040837815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015545662,0.0023502538,0.31844637,0.0002453806,0.000036218502,0.0020486712,0.008028375,0.0017671868,0.004987604,0.0132786175,0.42811576,0.21914105],"study_design_scores_gemma":[0.00007390721,0.0005631752,0.7981353,0.000112556285,0.000039907496,0.0009442466,0.015837684,0.0059360783,0.00396292,0.0026840784,0.17164265,0.00006746073],"about_ca_topic_score_codex":0.06484411,"about_ca_topic_score_gemma":0.15840712,"teacher_disagreement_score":0.93515587,"about_ca_system_score_codex":0.0021370344,"about_ca_system_score_gemma":0.0019728567,"threshold_uncertainty_score":0.12893331},"labels":[],"label_agreement":null},{"id":"W4234829766","doi":"10.5539/ijef.v5n1084","title":"Access to Credit and the Effect of Credit Constraints on the Performance of Manufacturing Firms in the East African Region: Micro Analysis","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Tobit model; Probit; Interest rate; Productivity; Probit model; Business; Access to finance; Microfinance; Finance; Economics; Multivariate probit model; Monetary economics; Macroeconomics; Economic growth; Econometrics","score_opus":0.021882983618491662,"score_gpt":0.22243442900393345,"score_spread":0.20055144538544178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234829766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994387,0.00005354473,0.00004087762,0.000040749368,5.6516114e-7,0.0000057669145,0.00020071301,7.6360925e-7,0.00021825767],"genre_scores_gemma":[0.9996125,0.000048374935,0.000032515236,0.000007801157,0.0000023398316,0.0000057683847,0.00010789601,4.4627768e-7,0.00018230709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946946,0.00019178566,0.000026688109,0.000056943692,0.000054267904,0.00020097413],"domain_scores_gemma":[0.99756217,0.0010669326,0.0008510434,0.000092424874,0.00014888542,0.0002784914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045723,0.0001905085,0.00029925522,0.0012269199,0.0006073279,0.0010487505,0.0002787699,0.00040677664,0.0031456635],"category_scores_gemma":[0.0020577917,0.00024686684,0.00044668012,0.0020984076,0.0004770237,0.0006123167,0.0008614931,0.0005917377,0.00032138324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058977694,0.000109294335,0.9956234,0.000019673646,0.00006940866,0.000250187,0.00061687524,0.0007351505,0.0001811755,0.00018499058,0.00016116358,0.0019897374],"study_design_scores_gemma":[0.0000025372162,0.000076239856,0.9960049,0.000011325841,0.000027332957,0.000072254144,0.002052236,0.0012723546,0.00012695517,0.00006938911,0.00027915637,0.0000054288216],"about_ca_topic_score_codex":0.021947574,"about_ca_topic_score_gemma":0.022915088,"teacher_disagreement_score":0.021947574,"about_ca_system_score_codex":0.00062124775,"about_ca_system_score_gemma":0.0004028666,"threshold_uncertainty_score":0.0436396},"labels":[],"label_agreement":null},{"id":"W4235287756","doi":"10.1108/s1048-4736(2011)0000022002","title":"List of Contributors","year":2011,"lang":"en","type":"book-chapter","venue":"Advances in the study of entrepreneurship, innovation, and economic growth","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; History","score_opus":0.030512531929821365,"score_gpt":0.23136548826089326,"score_spread":0.2008529563310719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235287756","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008737121,0.013536551,0.0026866863,0.024680704,0.10061042,0.0010531098,0.037170984,0.0043221246,0.81506574],"genre_scores_gemma":[0.0013947006,0.0048012845,0.0008991941,0.002937523,0.0046461592,0.00035566936,0.01214132,0.00093659793,0.97188765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973917,0.0002959692,0.00019761974,0.00047922388,0.0013156525,0.00031989082],"domain_scores_gemma":[0.9898073,0.0006933206,0.0003182097,0.00086234877,0.0067273797,0.0015915282],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019165128,0.0016777903,0.0017164709,0.006077822,0.003531291,0.010042177,0.0028339468,0.0032785097,0.7652321],"category_scores_gemma":[0.01246437,0.0005931341,0.0010436156,0.0070429696,0.0006177468,0.006507876,0.0043233884,0.0026823618,0.770627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057272387,0.000006841924,0.000061906525,0.00012022704,0.000001287083,0.000015517822,0.00002539098,0.000012383289,0.00004848697,0.00074159494,0.9718,0.027160626],"study_design_scores_gemma":[0.0000019014984,0.0000049872574,0.00015300959,0.00013582983,0.0000014427893,0.00002657448,0.000045602814,0.000013967807,0.000028694183,0.0002603759,0.9993236,0.0000040501864],"about_ca_topic_score_codex":0.0039712377,"about_ca_topic_score_gemma":0.005231836,"teacher_disagreement_score":0.7652321,"about_ca_system_score_codex":0.002390623,"about_ca_system_score_gemma":0.0044214963,"threshold_uncertainty_score":0.3348679},"labels":[],"label_agreement":null},{"id":"W4237187575","doi":"10.1093/rof/rfab013","title":"Financing Labor","year":2021,"lang":"en","type":"article","venue":"European Finance Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Market liquidity; Finance; Business; Economics; TRACE (psycholinguistics); Labour economics; Macroeconomics","score_opus":0.03987256656746158,"score_gpt":0.2288443830698751,"score_spread":0.18897181650241351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237187575","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017123923,0.010581089,0.0052507473,0.030117929,0.0017370833,0.00031206923,0.0068961354,0.00037873696,0.9276023],"genre_scores_gemma":[0.24330863,0.0113192,0.0034093724,0.0047248397,0.0026841722,0.00056153047,0.0075088567,0.00010299989,0.7263804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99906176,0.00021596426,0.00004561013,0.00013211732,0.00023192,0.0003126562],"domain_scores_gemma":[0.9979875,0.0003496818,0.00033313324,0.00037159162,0.0004297158,0.0005284002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013624687,0.00036486457,0.00030383887,0.0016851898,0.000940575,0.0028470166,0.0007944211,0.0019352563,0.17381488],"category_scores_gemma":[0.0036067597,0.00019542988,0.00035812226,0.0013236211,0.00070740096,0.0013476318,0.0019989556,0.0010786878,0.035555173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000627134,0.000086034444,0.0044229673,0.00026974306,0.000017650975,0.00014501589,0.0003310873,0.00051172153,0.00048075255,0.5634669,0.2563471,0.17385831],"study_design_scores_gemma":[0.00003373869,0.00004189376,0.0031116758,0.00026332674,0.0000049872606,0.00009851727,0.00016183856,0.00021184684,0.00017607596,0.02304906,0.9728395,0.000007606282],"about_ca_topic_score_codex":0.0048860684,"about_ca_topic_score_gemma":0.0045428304,"teacher_disagreement_score":0.17381488,"about_ca_system_score_codex":0.0020570613,"about_ca_system_score_gemma":0.0038404984,"threshold_uncertainty_score":0.5814687},"labels":[],"label_agreement":null},{"id":"W4237295290","doi":"10.1109/map.2009.5432098","title":"Third-Quarter Engineering Unemployment Data Show Mixed Trends [IEEE—USA]","year":2009,"lang":"en","type":"article","venue":"IEEE Antennas and Propagation Magazine","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Computer science; Telecommunications; Engineering; Electrical engineering; Economics; Geography; Economic growth","score_opus":0.04678027450770234,"score_gpt":0.243776073369012,"score_spread":0.19699579886130966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237295290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70887935,0.0027174857,0.0029051562,0.0058730873,0.00064742414,0.00006734628,0.22582705,0.00090195937,0.0521812],"genre_scores_gemma":[0.8286362,0.0014352942,0.0007002434,0.001217828,0.0003274036,0.00007258298,0.13164072,0.00013307942,0.03583666],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954337,0.000041878695,0.00005946058,0.000056801677,0.00017868984,0.000119751785],"domain_scores_gemma":[0.9942773,0.00099418,0.0017973727,0.0002683427,0.0023365158,0.00032632443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005261981,0.00018460248,0.00039695704,0.0031259954,0.0004190121,0.0011766724,0.00045425032,0.0005063974,0.0069275615],"category_scores_gemma":[0.0041501974,0.0001349014,0.0003187842,0.0060694995,0.00012181119,0.00035888166,0.00048225545,0.00061963254,0.0030426797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006200183,0.00015567009,0.673872,0.00029968188,0.00026192307,0.00018368992,0.0004919732,0.0013752094,0.001054135,0.0012626118,0.2440404,0.07638274],"study_design_scores_gemma":[0.000008130286,0.000061549355,0.9662882,0.00004223542,0.00005265053,0.00007813516,0.000323127,0.00076924555,0.00065243756,0.0000993878,0.031612225,0.000012684421],"about_ca_topic_score_codex":0.031609125,"about_ca_topic_score_gemma":0.07556035,"teacher_disagreement_score":0.031609125,"about_ca_system_score_codex":0.00036570034,"about_ca_system_score_gemma":0.0005142919,"threshold_uncertainty_score":0.06285024},"labels":[],"label_agreement":null},{"id":"W4237318266","doi":"10.1007/s11293-019-09643-4","title":"Editorial","year":2019,"lang":"es","type":"editorial","venue":"Atlantic Economic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Public finance; Economics; Macroeconomics","score_opus":0.012243861857058764,"score_gpt":0.22356542675850408,"score_spread":0.21132156490144532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237318266","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004015153,0.0026640685,0.00005118566,0.026601493,0.96538234,0.000027964525,0.0001050592,0.000048056834,0.0050796364],"genre_scores_gemma":[0.00057230325,0.002527619,0.00007697356,0.017737247,0.9473593,0.000034904348,0.0001141816,0.0000570604,0.031520344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951627,0.00073985243,0.00054946117,0.0005868375,0.0024645699,0.0004964181],"domain_scores_gemma":[0.9766415,0.0056289122,0.001908638,0.0009829954,0.010877904,0.003959987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005093947,0.0031383573,0.003044798,0.005491969,0.003232022,0.009251172,0.002610371,0.011867214,0.06687889],"category_scores_gemma":[0.030912748,0.0009594255,0.0022000733,0.0020623216,0.0016987215,0.0032061355,0.0022370438,0.010136032,0.045732114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017212698,0.0000057713128,0.000013595578,0.00006339615,0.000005938431,0.00005587673,0.0000036030158,0.000007069657,0.000018629937,0.00009564858,0.9966114,0.003101851],"study_design_scores_gemma":[0.00005452569,0.000014130142,0.00022713428,0.0002676628,0.00002702695,0.00014486232,0.000021902792,0.000060672195,0.000060531922,0.00068487955,0.99842656,0.00001017823],"about_ca_topic_score_codex":0.0017872169,"about_ca_topic_score_gemma":0.0050513563,"teacher_disagreement_score":0.9331211,"about_ca_system_score_codex":0.0030247734,"about_ca_system_score_gemma":0.003236663,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4237963370","doi":"10.22215/etd/2019-13467","title":"Three Essays on the Survival Time of Firms and Their Growth","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Endogeneity; Economics; Econometrics; Probit model; Production (economics); Revenue; Microeconomics; Finance","score_opus":0.025525109083378288,"score_gpt":0.20354971309213638,"score_spread":0.17802460400875808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237963370","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09191689,0.086001016,0.14299926,0.30558145,0.02759562,0.00019893056,0.0020776116,0.00040812904,0.3432211],"genre_scores_gemma":[0.50280356,0.09933027,0.023573158,0.02758374,0.03319253,0.0004806479,0.0016666531,0.0003785993,0.3109908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990103,0.0002957266,0.00007721828,0.00020757239,0.00029003355,0.000119236545],"domain_scores_gemma":[0.98284656,0.012247024,0.0017219307,0.0010463009,0.0014936214,0.0006445894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027244242,0.0008219281,0.0004986378,0.0018233367,0.0015152552,0.004291371,0.0007843665,0.002125749,0.007170935],"category_scores_gemma":[0.018238274,0.00029461875,0.0009993041,0.0020669566,0.0031055373,0.0034452083,0.001976566,0.0036018176,0.0017421012],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009512255,0.00017367725,0.0080867,0.00040007508,0.00005515823,0.00020915119,0.0021080698,0.0027446733,0.0004133752,0.7804998,0.10038832,0.10482584],"study_design_scores_gemma":[0.000025754016,0.00013496057,0.01073766,0.0009785439,0.000062967716,0.00046670827,0.0018442052,0.0045417533,0.0009030378,0.6157963,0.3644255,0.00008261777],"about_ca_topic_score_codex":0.0015428131,"about_ca_topic_score_gemma":0.0014108173,"teacher_disagreement_score":0.007170935,"about_ca_system_score_codex":0.0025802143,"about_ca_system_score_gemma":0.001148698,"threshold_uncertainty_score":0.0239892},"labels":[],"label_agreement":null},{"id":"W4238361582","doi":"10.4095/301117","title":"Growth Rate of Business Services Employment, 1986 to 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.04765472957559346,"score_gpt":0.2544101354558583,"score_spread":0.2067554058802648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238361582","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25911707,0.00425811,0.0007967702,0.0016986453,0.00035087793,0.00018912015,0.70318323,0.00047192193,0.029934274],"genre_scores_gemma":[0.34946936,0.008876417,0.0012209574,0.00038079344,0.00031487853,0.0002888832,0.55788124,0.00013984181,0.08142766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998539,0.00009905942,0.00021671633,0.00022394006,0.00065230404,0.00026898654],"domain_scores_gemma":[0.993877,0.0004720865,0.0018015751,0.00018758293,0.003168653,0.00049313606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012406453,0.0008675044,0.0004725942,0.0058089094,0.0005591801,0.0014814226,0.0012010462,0.00059850933,0.0048582056],"category_scores_gemma":[0.0067218943,0.00041221143,0.0004606305,0.009165083,0.00028685736,0.0011670197,0.0012503422,0.0012153955,0.0081994375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010990339,0.00022293163,0.7193409,0.0010078873,0.00018931764,0.0004769098,0.0010680093,0.0024458217,0.0009209384,0.0019077746,0.16399308,0.1073273],"study_design_scores_gemma":[0.000029434304,0.00005961871,0.9031042,0.00015708995,0.00003053971,0.00029648712,0.0002861875,0.00059285585,0.00079469517,0.00005329081,0.09458027,0.000015344152],"about_ca_topic_score_codex":0.21877603,"about_ca_topic_score_gemma":0.17373504,"teacher_disagreement_score":0.21877603,"about_ca_system_score_codex":0.003953867,"about_ca_system_score_gemma":0.0023928087,"threshold_uncertainty_score":0.43500525},"labels":[],"label_agreement":null},{"id":"W4240000385","doi":"10.32920/ryerson.14667888.v1","title":"The Evolution and Spatial Dimensions of Invention in Canada, 1991 - 2011","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Trademark; Typology; Census; Economic geography; Productivity; Geography; Distribution (mathematics); Regional science; Order (exchange); Economy; Business; Economic growth; Political science; Economics; Demography; Sociology; Finance","score_opus":0.024677545100035,"score_gpt":0.19580469421440858,"score_spread":0.17112714911437357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240000385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95132256,0.0052146763,0.00039157824,0.001370919,0.000025818212,0.000046250163,0.024569752,0.00005784304,0.017000537],"genre_scores_gemma":[0.98257875,0.0022399595,0.00046936615,0.00006020329,0.000010217955,0.000015203974,0.0073905527,0.000012649539,0.0072231516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988875,0.000047726175,0.000061938146,0.00014417637,0.0005024151,0.00035637882],"domain_scores_gemma":[0.9941401,0.00055842724,0.0009155267,0.00016579754,0.0034853125,0.0007348442],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00085748057,0.00031839818,0.00044448627,0.007941645,0.0030545928,0.002745181,0.001158164,0.00045051158,0.003474012],"category_scores_gemma":[0.0051780813,0.00026303134,0.00067714165,0.022050586,0.0014005329,0.0008181651,0.0014200561,0.0007658015,0.00038741887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021058654,0.000054352953,0.91930676,0.00021993266,0.00012201292,0.00029524163,0.0055480134,0.0027707743,0.00046196618,0.0060965815,0.0076618814,0.05725196],"study_design_scores_gemma":[0.000003866548,0.000009989963,0.9881948,0.000036482503,0.000019202498,0.000051582057,0.0021208639,0.0009300066,0.000116613024,0.00013038583,0.008369474,0.000016589747],"about_ca_topic_score_codex":0.9976889,"about_ca_topic_score_gemma":0.99857867,"teacher_disagreement_score":0.99205834,"about_ca_system_score_codex":0.0707739,"about_ca_system_score_gemma":0.054636747,"threshold_uncertainty_score":0.51350296},"labels":[],"label_agreement":null},{"id":"W4241494955","doi":"10.1787/eco_surveys-can-2016-7-en","title":"Boosting productivity through greater Small Business Dynamism","year":2016,"lang":"en","type":"book-chapter","venue":"OECD economic surveys. Canada","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamism; Productivity; Business; Small business; Industrial organization; Competition (biology); Economics; Economic growth; Marketing","score_opus":0.04563422095862476,"score_gpt":0.18414158192672456,"score_spread":0.1385073609680998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241494955","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08945269,0.014975188,0.024114681,0.020931302,0.00065468845,0.00017954157,0.00079792715,0.0014526332,0.84744126],"genre_scores_gemma":[0.7027462,0.025046494,0.014159402,0.002722898,0.0006756036,0.00010731214,0.00079005427,0.00038109877,0.2533709],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99945706,0.00005906848,0.000011859718,0.00006312338,0.0002514125,0.00015742869],"domain_scores_gemma":[0.998468,0.00024436385,0.00013113902,0.0001273126,0.00043942808,0.0005896792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010183128,0.0004054565,0.00019284045,0.0013225677,0.00083300524,0.003500174,0.00063767604,0.00066510396,0.015770108],"category_scores_gemma":[0.001760687,0.00014458224,0.00035715802,0.0015265231,0.0013997117,0.0021017792,0.0024900897,0.0010425468,0.00483209],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012852997,0.00027509592,0.006883622,0.00082627655,0.000046016394,0.00030152008,0.0022431882,0.0034958331,0.01290794,0.18082759,0.08967095,0.7023934],"study_design_scores_gemma":[0.000051839725,0.00012449907,0.023996796,0.00048478096,0.000032352233,0.00030755452,0.0012030688,0.0017772829,0.0066696685,0.07824578,0.8870717,0.000034656885],"about_ca_topic_score_codex":0.023010379,"about_ca_topic_score_gemma":0.038577463,"teacher_disagreement_score":0.9769896,"about_ca_system_score_codex":0.0057603093,"about_ca_system_score_gemma":0.0071812836,"threshold_uncertainty_score":0.05275625},"labels":[],"label_agreement":null},{"id":"W4241931618","doi":"10.22215/etd/2019-13490","title":"Three Essays in Industrial Organization with a Focus on Innovation, Advertising, Welfare, and Firm Performance","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Profitability index; Business; Industrial organization; Market structure; Oligopoly; Competition (biology); Market share; Marketing; Welfare; Advertising; Economics; Market economy","score_opus":0.020581229388922918,"score_gpt":0.202926758751661,"score_spread":0.18234552936273807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241931618","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01688028,0.14318632,0.025200007,0.28935164,0.03310991,0.00010247257,0.00047518598,0.000118531454,0.4915756],"genre_scores_gemma":[0.22619483,0.17428534,0.016597224,0.05052966,0.04820867,0.0004985142,0.00068736693,0.00030610943,0.48269236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928695,0.00018745223,0.00004055006,0.00011029769,0.00029115714,0.0000837139],"domain_scores_gemma":[0.9966695,0.0020277957,0.00022061773,0.00021550835,0.00054713845,0.00031946565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017364912,0.00086577516,0.00042058807,0.0017083138,0.0014907831,0.0036786173,0.00053482637,0.0019871716,0.0064749736],"category_scores_gemma":[0.004260081,0.00025868035,0.00082007784,0.001996857,0.0045495806,0.0029672156,0.0017828293,0.003975382,0.0018031569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050447583,0.00018251862,0.001075563,0.000394613,0.000028422162,0.00010059036,0.001399456,0.0014543607,0.0005567706,0.66875434,0.26900172,0.0570012],"study_design_scores_gemma":[0.000023148497,0.00006835348,0.0026917509,0.0009641717,0.00002411635,0.00010684969,0.0010482577,0.00080072414,0.00049294665,0.31793678,0.67581064,0.000032336866],"about_ca_topic_score_codex":0.0012000118,"about_ca_topic_score_gemma":0.0015572067,"teacher_disagreement_score":0.0064749736,"about_ca_system_score_codex":0.002672917,"about_ca_system_score_gemma":0.0016458239,"threshold_uncertainty_score":0.021660924},"labels":[],"label_agreement":null},{"id":"W4242457323","doi":"10.5513/jcea01/12.1.895","title":"Regulating the Employment of People with Disabilities – Does the strict quota system bring real results?","year":2011,"lang":"en","type":"article","venue":"Journal of Central European Agriculture","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Rehabilitation; Order (exchange); Labour economics; Disabled people; Demographic economics; Economics; Finance; Medicine; Physical therapy; Geography","score_opus":0.024663809672440248,"score_gpt":0.17989333863229748,"score_spread":0.15522952895985723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242457323","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25298402,0.021383174,0.017563112,0.4210593,0.0036250562,0.00020100815,0.0006982919,0.00016537326,0.28232065],"genre_scores_gemma":[0.96057355,0.0035064796,0.003094943,0.02253534,0.0005632739,0.00015464527,0.00013003845,0.000025654783,0.009416116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9819048,0.00877244,0.0008514383,0.000991333,0.0045778095,0.0029022638],"domain_scores_gemma":[0.97879285,0.012332039,0.0033272,0.0014670301,0.0033425072,0.0007385036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014754447,0.00031661618,0.0005898938,0.0013162124,0.0020734791,0.006483148,0.0013503323,0.004385477,0.0074751484],"category_scores_gemma":[0.04094497,0.0002354903,0.0006203041,0.001960868,0.0054911776,0.007948914,0.003106711,0.0023327863,0.001516402],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019626565,0.0004465216,0.032694656,0.00095770543,0.00009455896,0.0003970601,0.013625076,0.0015527987,0.0025042372,0.74497324,0.045473516,0.15708433],"study_design_scores_gemma":[0.00013926471,0.0005853252,0.08643388,0.003152157,0.000104741644,0.0004187493,0.024858763,0.0021366214,0.0033405337,0.41994336,0.458652,0.00023462951],"about_ca_topic_score_codex":0.014204521,"about_ca_topic_score_gemma":0.011331994,"teacher_disagreement_score":0.014754447,"about_ca_system_score_codex":0.00422007,"about_ca_system_score_gemma":0.0067205727,"threshold_uncertainty_score":0.07802987},"labels":[],"label_agreement":null},{"id":"W4242595838","doi":"10.32920/ryerson.14667888","title":"The Evolution and Spatial Dimensions of Invention in Canada, 1991 - 2011","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Trademark; Typology; Census; Economic geography; Productivity; Distribution (mathematics); Geography; Regional science; Order (exchange); Economy; Business; Economic growth; Political science; Economics; Sociology; Demography; Finance","score_opus":0.024677545100035,"score_gpt":0.19580469421440858,"score_spread":0.17112714911437357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242595838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95132256,0.0052146763,0.00039157824,0.001370919,0.000025818212,0.000046250163,0.024569752,0.00005784304,0.017000537],"genre_scores_gemma":[0.98257875,0.0022399595,0.00046936615,0.00006020329,0.000010217955,0.000015203974,0.0073905527,0.000012649539,0.0072231516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988875,0.000047726175,0.000061938146,0.00014417637,0.0005024151,0.00035637882],"domain_scores_gemma":[0.9941401,0.00055842724,0.0009155267,0.00016579754,0.0034853125,0.0007348442],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00085748057,0.00031839818,0.00044448627,0.007941645,0.0030545928,0.002745181,0.001158164,0.00045051158,0.003474012],"category_scores_gemma":[0.0051780813,0.00026303134,0.00067714165,0.022050586,0.0014005329,0.0008181651,0.0014200561,0.0007658015,0.00038741887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021058654,0.000054352953,0.91930676,0.00021993266,0.00012201292,0.00029524163,0.0055480134,0.0027707743,0.00046196618,0.0060965815,0.0076618814,0.05725196],"study_design_scores_gemma":[0.000003866548,0.000009989963,0.9881948,0.000036482503,0.000019202498,0.000051582057,0.0021208639,0.0009300066,0.000116613024,0.00013038583,0.008369474,0.000016589747],"about_ca_topic_score_codex":0.9976889,"about_ca_topic_score_gemma":0.99857867,"teacher_disagreement_score":0.99205834,"about_ca_system_score_codex":0.0707739,"about_ca_system_score_gemma":0.054636747,"threshold_uncertainty_score":0.51350296},"labels":[],"label_agreement":null},{"id":"W4242780726","doi":"10.32920/14653380","title":"Commercialization of Academic Research in Canadian Universities: Optimizing Technology Transfer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Commercialization; Technology transfer; Revenue; Business; Marketing; Accounting","score_opus":0.12786187164970297,"score_gpt":0.3218023559058252,"score_spread":0.1939404842561222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242780726","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210704,0.0020608332,0.0056914156,0.0037360436,0.00002779144,0.00030655263,0.00043861917,0.000113693175,0.06655468],"genre_scores_gemma":[0.99487704,0.0006328066,0.0011069326,0.00010360909,0.000011886303,0.000031907315,0.00014959602,0.000009619736,0.0030766898],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922391,0.0014586693,0.00029056918,0.0006412862,0.0028015906,0.0025687788],"domain_scores_gemma":[0.9831217,0.006120222,0.0031254278,0.0005344703,0.004397739,0.0027004443],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0052375346,0.00040766754,0.00064901344,0.0034919989,0.0041571697,0.007784222,0.0016315815,0.001215344,0.0045305407],"category_scores_gemma":[0.03245964,0.00042583628,0.00069370726,0.0058881403,0.0022027986,0.0028038146,0.0029342473,0.0013434644,0.00042523208],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071053574,0.001058013,0.5682875,0.0006677241,0.0002636716,0.0011600306,0.0052966075,0.050203674,0.0048902193,0.08317389,0.0074002533,0.2768879],"study_design_scores_gemma":[0.00016687704,0.00042941666,0.8491767,0.00027000802,0.00033330193,0.00030625783,0.018330174,0.07495437,0.005849913,0.020564336,0.029490678,0.00012803206],"about_ca_topic_score_codex":0.83194613,"about_ca_topic_score_gemma":0.8351907,"teacher_disagreement_score":0.9947625,"about_ca_system_score_codex":0.062193118,"about_ca_system_score_gemma":0.068592854,"threshold_uncertainty_score":0.45124477},"labels":[],"label_agreement":null},{"id":"W4243554212","doi":"10.22215/etd/2004-06047","title":"Market orientation and business performance : an empirical study comparing Canadian manufacturers and telecommunications equipment manufacturers of Canada","year":2004,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Market orientation; Telecommunications equipment; Telecommunications; Empirical research; Marketing; Engineering","score_opus":0.02602497870580498,"score_gpt":0.25042591129672076,"score_spread":0.22440093259091579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243554212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563944,0.00040914238,0.00006336537,0.00019414282,0.000005039856,0.000021918608,0.0009290726,0.000004459537,0.0027333784],"genre_scores_gemma":[0.9953661,0.0005285751,0.00018163965,0.000099006895,0.000008103369,0.000012790073,0.0011948709,0.0000060560524,0.0026028806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929523,0.00005148686,0.000022746755,0.000072591836,0.00028160174,0.00027634425],"domain_scores_gemma":[0.994214,0.00078034465,0.0010743409,0.000087341,0.0025017855,0.0013421413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080792804,0.0003958115,0.00041472018,0.0031616616,0.0035123008,0.0021884972,0.00086569804,0.00059378287,0.002850449],"category_scores_gemma":[0.003979638,0.00027473978,0.00065694767,0.008580904,0.0010521745,0.00076400983,0.00086772675,0.0008295157,0.00029421118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082616694,0.000090053065,0.98919535,0.00002892294,0.000048277383,0.00010364877,0.003092652,0.00015846627,0.00021365169,0.00035851175,0.0009727722,0.0056551225],"study_design_scores_gemma":[0.0000036636168,0.000015148097,0.99590635,0.000014439412,0.000020643893,0.000018997705,0.002895331,0.00015611513,0.000043285178,0.00001859018,0.00089993776,0.0000074771997],"about_ca_topic_score_codex":0.9935702,"about_ca_topic_score_gemma":0.99756074,"teacher_disagreement_score":0.025604932,"about_ca_system_score_codex":0.025604932,"about_ca_system_score_gemma":0.030792506,"threshold_uncertainty_score":0.18577766},"labels":[],"label_agreement":null},{"id":"W4244147467","doi":"10.2139/ssrn.3444992","title":"Build or Buy? Human Capital and Corporate Diversification","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Business; Human capital; Diversification (marketing strategy); Industrial organization; Human resources; Marketing; Market economy; Economics; Management","score_opus":0.026470088290580507,"score_gpt":0.21215927431549975,"score_spread":0.18568918602491924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244147467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95807374,0.0080487225,0.0014098249,0.014009617,0.000094601084,0.000010578034,0.00015072728,0.000017895083,0.018184274],"genre_scores_gemma":[0.99662894,0.0006101375,0.000072892246,0.00031551058,0.00010041906,0.000001972973,0.000015616188,0.0000018699891,0.0022526002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996996,0.000108179695,0.000008943621,0.000045769484,0.0000315455,0.000106013074],"domain_scores_gemma":[0.9879551,0.0071353195,0.00255841,0.0002445669,0.00021211046,0.0018945828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013689213,0.0002026495,0.00041730484,0.0006479103,0.00046784978,0.0026719996,0.00040148047,0.0020551777,0.013916643],"category_scores_gemma":[0.0073455237,0.0001480735,0.00023369957,0.00069697754,0.0018445143,0.0029450746,0.0009707822,0.0011019553,0.0006607783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089186337,0.00062448235,0.70558476,0.00024140337,0.0003293304,0.0016017994,0.0023817436,0.00688081,0.0009384416,0.120399736,0.0101714665,0.14995414],"study_design_scores_gemma":[0.00014611773,0.00038032286,0.55058324,0.00032874107,0.00026255858,0.00094724307,0.010946542,0.013339414,0.0007034242,0.4029346,0.019346831,0.0000809115],"about_ca_topic_score_codex":0.003413822,"about_ca_topic_score_gemma":0.0045438744,"teacher_disagreement_score":0.013916643,"about_ca_system_score_codex":0.0006009532,"about_ca_system_score_gemma":0.00042504218,"threshold_uncertainty_score":0.046555817},"labels":[],"label_agreement":null},{"id":"W4244639189","doi":"10.1787/9789264213951-5-en","title":"SME and entrepreneurship issues and policies in Italy: Assessment and recommendations","year":2014,"lang":"en","type":"book-chapter","venue":"OECD studies on SMEs and entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Quarter (Canadian coin); Business; European union; Investment (military); Population; Value (mathematics); Eu countries; International trade; Geography; Political science; Finance","score_opus":0.08099201689878198,"score_gpt":0.30937181706624456,"score_spread":0.22837980016746257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244639189","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04137861,0.2967185,0.0006365182,0.55837816,0.0023596722,0.00018393162,0.0027870287,0.0001280971,0.097429544],"genre_scores_gemma":[0.36116996,0.5208738,0.0054491055,0.042600337,0.0045179734,0.00089607085,0.0049983324,0.000042096355,0.059452385],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.999342,0.00019345238,0.00003415914,0.00004489094,0.0001257753,0.0002595875],"domain_scores_gemma":[0.9974854,0.0007132007,0.0003502623,0.000050520597,0.0006427106,0.0007577905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019763187,0.00058550364,0.0005927399,0.0034431315,0.0010087687,0.0043316847,0.0013273628,0.0029137642,0.0097598415],"category_scores_gemma":[0.003729204,0.0002502588,0.00065497524,0.004292178,0.00075947336,0.003553262,0.0022280887,0.0017939857,0.0015340464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018931205,0.0007224941,0.058887105,0.0069473693,0.00009441373,0.0012272119,0.0038104365,0.0016179897,0.0002615206,0.04953649,0.4659116,0.41079408],"study_design_scores_gemma":[0.0000788514,0.0002536611,0.3094297,0.031627767,0.00026636265,0.0007556509,0.041343797,0.0018651403,0.00033583367,0.029369604,0.58457017,0.00010350526],"about_ca_topic_score_codex":0.026777439,"about_ca_topic_score_gemma":0.059442654,"teacher_disagreement_score":0.026777439,"about_ca_system_score_codex":0.004729395,"about_ca_system_score_gemma":0.012775366,"threshold_uncertainty_score":0.05324316},"labels":[],"label_agreement":null},{"id":"W4246749501","doi":"10.4018/978-1-5225-8903-7.ch074","title":"What Influences the Growth of Canadian Biotechnology Firms?","year":2019,"lang":"en","type":"book-chapter","venue":"Biotechnology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Commercialization; Business; Product (mathematics); New product development; Industrial organization; Biotechnology; Marketing; Biology","score_opus":0.029924067664660495,"score_gpt":0.19814441283112139,"score_spread":0.1682203451664609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246749501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6845156,0.019545246,0.00089367473,0.044831328,0.00030635914,0.00007609852,0.011514745,0.00018469972,0.23813225],"genre_scores_gemma":[0.9743037,0.00932251,0.00037189995,0.00082370057,0.00009454789,0.00001322937,0.0025706333,0.000040673345,0.0124591375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751556,0.00014073527,0.00005002279,0.00018694284,0.0010559334,0.001050742],"domain_scores_gemma":[0.9919207,0.0010923927,0.0011785444,0.00017404465,0.003976093,0.0016581336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015651657,0.0004402964,0.00040490064,0.0041968776,0.004014226,0.005773033,0.0010272152,0.0008126671,0.006340264],"category_scores_gemma":[0.011389047,0.00020654948,0.0004881111,0.010944521,0.0018089854,0.0022188534,0.0012962685,0.0013434336,0.0007880158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002718828,0.000099171346,0.7209856,0.0003701224,0.00013844419,0.0008857796,0.0068204273,0.0050525847,0.00094673154,0.053983226,0.06136895,0.14907715],"study_design_scores_gemma":[0.000015968222,0.00003088464,0.87770313,0.00024874142,0.00006810779,0.000187848,0.009135201,0.0023699482,0.00048651308,0.0043549486,0.105319716,0.000079132486],"about_ca_topic_score_codex":0.9896569,"about_ca_topic_score_gemma":0.9919012,"teacher_disagreement_score":0.06269182,"about_ca_system_score_codex":0.06269182,"about_ca_system_score_gemma":0.07111561,"threshold_uncertainty_score":0.45486313},"labels":[],"label_agreement":null},{"id":"W4247288302","doi":"10.1504/ijesb.2018.095901","title":"A comparison of the performance of majority female-owned and majority male-owned small and medium-sized enterprises","year":2018,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Small Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Business; Entrepreneurship; Debt; Small and medium-sized enterprises; Debt financing; Profit (economics); Finance; Debt ratio; Female entrepreneurs; Economics","score_opus":0.04653937290448909,"score_gpt":0.26250397168273054,"score_spread":0.21596459877824145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247288302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980919,0.000050512852,0.000026100346,0.00005668053,0.0000027702883,0.0000019988797,0.00024428018,0.0000017745136,0.0015240584],"genre_scores_gemma":[0.9993839,0.000022335384,0.000013523253,0.00001170455,0.000002731276,0.0000010345894,0.00015315489,9.5346843e-7,0.00041071695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944645,0.00008054492,0.000026727736,0.00007240506,0.0001760367,0.00019783319],"domain_scores_gemma":[0.99617404,0.000546385,0.0012782997,0.00015651208,0.00072346645,0.0011213354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007084065,0.00013418042,0.00017596154,0.000608954,0.0002841032,0.00076410413,0.00025126513,0.00013823391,0.0019160121],"category_scores_gemma":[0.0027856976,0.00006537555,0.00016834652,0.0005717463,0.00038121248,0.00044131078,0.00071650546,0.00016665993,0.0005287971],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011257236,0.00003491795,0.99195766,0.000009684849,0.000023504073,0.000102360755,0.0007088335,0.000077450095,0.0004551079,0.00015413108,0.0003649098,0.0059989486],"study_design_scores_gemma":[0.0000010763517,0.000038877588,0.99831784,0.0000039306856,0.0000032867172,0.000035937206,0.0010682888,0.00007002739,0.00011238772,0.00002777608,0.00031828022,0.000002371921],"about_ca_topic_score_codex":0.03361879,"about_ca_topic_score_gemma":0.071592,"teacher_disagreement_score":0.03361879,"about_ca_system_score_codex":0.00052197475,"about_ca_system_score_gemma":0.00063728326,"threshold_uncertainty_score":0.06684619},"labels":[],"label_agreement":null},{"id":"W4247925223","doi":"10.2139/ssrn.3920020","title":"Age Dependence in MNC Subsidiary Mortality: The Inverted S-Curve Hypothesis","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Demography; Mathematics; Econometrics; Statistics; Sociology","score_opus":0.0554076703914826,"score_gpt":0.24933061258547295,"score_spread":0.19392294219399037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247925223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841016,0.0008671179,0.006037195,0.0028873873,0.00004860768,0.000050900202,0.001007007,0.00010782028,0.0048923297],"genre_scores_gemma":[0.9957112,0.0002825105,0.0003458824,0.00026515397,0.00010890276,0.000011575674,0.00039231175,0.000025374615,0.002857146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986885,0.00027532838,0.00011240147,0.0004118786,0.00014239087,0.00036945075],"domain_scores_gemma":[0.96425,0.01685091,0.011171049,0.0037689365,0.0017667187,0.002192309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004991604,0.0003644,0.00085821503,0.002365747,0.00046611123,0.0012627713,0.0012024558,0.0024974581,0.015796944],"category_scores_gemma":[0.03203721,0.00039289123,0.0011993782,0.001643998,0.0017071116,0.0017967288,0.0015477166,0.0016528316,0.0019117603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077900954,0.00021096789,0.9333894,0.00010993337,0.0002468373,0.00081743894,0.0015766394,0.00449525,0.0013434365,0.020877777,0.0031156223,0.03303759],"study_design_scores_gemma":[0.00013552462,0.0005302351,0.92987007,0.00011468646,0.00030382385,0.001271997,0.0016360304,0.022686198,0.0008863666,0.040180426,0.002330182,0.00005442505],"about_ca_topic_score_codex":0.0061869295,"about_ca_topic_score_gemma":0.0039779316,"teacher_disagreement_score":0.015796944,"about_ca_system_score_codex":0.00048762606,"about_ca_system_score_gemma":0.0006778086,"threshold_uncertainty_score":0.052846014},"labels":[],"label_agreement":null},{"id":"W4248931256","doi":"10.32920/14664768","title":"Small Companies and Value Capture from their Intellectual Properties: a Qualitative Study","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Intellectual capital; Value capture; Business; Value (mathematics); Resource (disambiguation); Value creation; Empirical research; Small business; Industrial organization; Resource-based view; Marketing; Knowledge management; Competitive advantage; Computer science; Finance","score_opus":0.1564957037643657,"score_gpt":0.2647881780638393,"score_spread":0.10829247429947361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248931256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98490614,0.00036387506,0.002077258,0.0020034257,0.000027572296,0.00012509577,0.00014965422,0.000008384755,0.010338558],"genre_scores_gemma":[0.9939237,0.00048755927,0.00062539254,0.00046155773,0.000010773417,0.00013305622,0.000066720146,0.000009790158,0.004281399],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9954601,0.0031116935,0.00010598899,0.00026465213,0.0004604145,0.000597121],"domain_scores_gemma":[0.98245347,0.014996363,0.00080182863,0.00024940778,0.0006939143,0.00080512965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051692096,0.00031691333,0.00040208446,0.0015189114,0.0046925317,0.0028869843,0.0008662521,0.0013187195,0.0044928547],"category_scores_gemma":[0.011564907,0.00028670998,0.00018695414,0.0012426747,0.005206759,0.0038364197,0.0032213097,0.0016749367,0.00035386003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033917695,0.000054592198,0.0046871845,0.00015928036,0.000003553356,0.0012796646,0.97811115,0.00006371217,0.0019914748,0.0060072215,0.00074566866,0.0068625854],"study_design_scores_gemma":[0.0000024374003,0.00002639363,0.0018969999,0.0000857325,0.000001974014,0.00027102447,0.98422354,0.00011738309,0.00042075283,0.0005776636,0.012368896,0.0000071759596],"about_ca_topic_score_codex":0.0046368935,"about_ca_topic_score_gemma":0.007529589,"teacher_disagreement_score":0.0051692096,"about_ca_system_score_codex":0.0035739017,"about_ca_system_score_gemma":0.0023236943,"threshold_uncertainty_score":0.02733773},"labels":[],"label_agreement":null},{"id":"W4249910477","doi":"10.2139/ssrn.250175","title":"Capital Market Integration and Industrial Structure: The Case of Australia, Canada and The United States","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Business; Economic geography; Geography; Economy; Economics","score_opus":0.014078891696137175,"score_gpt":0.19915560763714865,"score_spread":0.18507671594101147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249910477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729724,0.002256911,0.00014210648,0.0014727915,0.000008164523,0.000021382597,0.00025878288,0.000008400741,0.022859175],"genre_scores_gemma":[0.9965339,0.0008508483,0.00009094551,0.00006509451,0.000005120387,0.0000032314458,0.00010566316,0.0000020170178,0.0023433075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996019,0.00004458072,0.000009381165,0.000028153197,0.00007562744,0.00024031485],"domain_scores_gemma":[0.99792707,0.0004086,0.00036606778,0.000031192147,0.0004963884,0.00077070063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005176559,0.00020520853,0.0004527157,0.0024818648,0.0026851376,0.003577468,0.00065083604,0.0008019934,0.0033718036],"category_scores_gemma":[0.0029100662,0.00016675086,0.00037111665,0.006403839,0.002146655,0.0014900764,0.0014825064,0.0013394227,0.00013233037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056861533,0.0005359388,0.7806485,0.0001381743,0.00029908307,0.004705071,0.011906334,0.017802894,0.00057892187,0.12245857,0.009537078,0.050820813],"study_design_scores_gemma":[0.00006912006,0.00007243001,0.9495974,0.00014643675,0.0001844464,0.00039584914,0.013540887,0.01161122,0.00025159627,0.010365093,0.01371557,0.00004990567],"about_ca_topic_score_codex":0.95503616,"about_ca_topic_score_gemma":0.97670037,"teacher_disagreement_score":0.044963837,"about_ca_system_score_codex":0.019304754,"about_ca_system_score_gemma":0.012649861,"threshold_uncertainty_score":0.14006644},"labels":[],"label_agreement":null},{"id":"W4250093245","doi":"10.22215/etd/2007-07467","title":"The relationship between enterprenurial orientation dimensions and performance in small Canadian ICT firms","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Political science","score_opus":0.04545292324281853,"score_gpt":0.259352821247062,"score_spread":0.21389989800424347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250093245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644476,0.00008712488,0.000022085225,0.00012916379,0.0000021788005,0.0000055359637,0.00016781272,0.0000022358101,0.0031390993],"genre_scores_gemma":[0.9983845,0.00008262755,0.000035828558,0.00001853912,0.0000023626537,0.0000025278555,0.00020163917,0.0000019890815,0.0012700565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933845,0.000051865754,0.000029909237,0.00005771499,0.00023774483,0.0002842379],"domain_scores_gemma":[0.99082524,0.0011299617,0.0022724855,0.0002356233,0.0026120616,0.002924603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010330029,0.00022046527,0.00016998599,0.0020928024,0.0016076817,0.0029614067,0.00062940246,0.0005105055,0.0032255796],"category_scores_gemma":[0.0062640733,0.00013558166,0.0002522875,0.0027981356,0.001522294,0.00054035033,0.0012184386,0.00070373865,0.0003778711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093179595,0.00007694017,0.98842156,0.000008234579,0.000017681055,0.0000453747,0.0019381673,0.00013431149,0.00031048668,0.00035626124,0.00046699095,0.00813092],"study_design_scores_gemma":[0.0000012762652,0.000011708882,0.9980724,0.0000056818644,0.0000041257085,0.0000054588463,0.0014200545,0.00009548262,0.000036032612,0.000045423043,0.0002979318,0.000004521375],"about_ca_topic_score_codex":0.91452533,"about_ca_topic_score_gemma":0.96549827,"teacher_disagreement_score":0.08547467,"about_ca_system_score_codex":0.015414331,"about_ca_system_score_gemma":0.014685277,"threshold_uncertainty_score":0.17195606},"labels":[],"label_agreement":null},{"id":"W4251004972","doi":"10.2139/ssrn.3190663","title":"Build or Buy? Human Capital and Corporate Diversification","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Diversification (marketing strategy); Human capital; Industrial organization; Finance; Commerce; Economics; Marketing; Market economy","score_opus":0.03693879709524222,"score_gpt":0.229168805310224,"score_spread":0.19223000821498176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251004972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645444,0.007315154,0.001324324,0.012679977,0.00008448989,0.000008536994,0.00012026267,0.000014899477,0.013907808],"genre_scores_gemma":[0.99719787,0.000525704,0.00006564407,0.00027730703,0.00009038224,0.0000017904848,0.000014433725,0.0000017011292,0.0018251603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996836,0.00011566643,0.000009669744,0.000049484424,0.00003255876,0.00010903785],"domain_scores_gemma":[0.98701584,0.007997496,0.0025129553,0.0002693313,0.00023182474,0.0019725775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014765792,0.00019787908,0.0004058161,0.0006119492,0.00047844066,0.0026881157,0.00041291717,0.0022000691,0.012181101],"category_scores_gemma":[0.008076284,0.00015298568,0.00024537745,0.0006570516,0.0018825935,0.003048958,0.0010169855,0.0011450365,0.0006121808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008828516,0.00057122647,0.7359509,0.00022265792,0.0003124158,0.0015098418,0.002322863,0.006623705,0.0008666845,0.10508976,0.0094329035,0.13621421],"study_design_scores_gemma":[0.00013943725,0.00034872035,0.56934375,0.00030043616,0.00029247033,0.00086134503,0.011266742,0.014370798,0.00069581403,0.3852483,0.017053813,0.00007837043],"about_ca_topic_score_codex":0.0034505432,"about_ca_topic_score_gemma":0.004490663,"teacher_disagreement_score":0.012181101,"about_ca_system_score_codex":0.00059825863,"about_ca_system_score_gemma":0.0004266034,"threshold_uncertainty_score":0.040749848},"labels":[],"label_agreement":null},{"id":"W4251750220","doi":"10.1787/9789264273467-6-en","title":"SME and entrepreneurship characteristics and performance in Canada","year":2017,"lang":"en","type":"book-chapter","venue":"OECD studies on SMEs and entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamism; Entrepreneurship; Business; Productivity; Population; Small business; Industrial organization; Marketing; Economic growth; Economics; Finance","score_opus":0.05652793329041297,"score_gpt":0.22371890370952854,"score_spread":0.16719097041911557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251750220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9353112,0.005148338,0.00012290798,0.0016745111,0.000041877272,0.000033724835,0.017399143,0.00005694977,0.04021127],"genre_scores_gemma":[0.9812185,0.003180415,0.00017816265,0.000107854794,0.0000134848115,0.000012898184,0.0046768514,0.000019829804,0.010592005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933416,0.000028056898,0.000028937471,0.000048238802,0.00032370575,0.00023691088],"domain_scores_gemma":[0.9972796,0.00015805283,0.0003435982,0.000036169153,0.0013708186,0.00081175374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005482218,0.0001907115,0.00029945612,0.003328851,0.0025185726,0.0018270044,0.0005660987,0.00026690328,0.0051981416],"category_scores_gemma":[0.0026566982,0.00014814948,0.00035758407,0.009630163,0.000632227,0.00047035204,0.00090992945,0.00041300652,0.0007254477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010923329,0.000064309505,0.9214364,0.00014511138,0.000059602335,0.00032102023,0.004625871,0.0007131881,0.00026414814,0.0033316435,0.01835904,0.050570417],"study_design_scores_gemma":[0.000002908062,0.000012799001,0.9854606,0.000083794934,0.000009957258,0.00007564698,0.0021538858,0.00025622864,0.0000634292,0.00014708389,0.011716468,0.00001719871],"about_ca_topic_score_codex":0.99054366,"about_ca_topic_score_gemma":0.99552554,"teacher_disagreement_score":0.9766721,"about_ca_system_score_codex":0.023327902,"about_ca_system_score_gemma":0.03077897,"threshold_uncertainty_score":0.16925657},"labels":[],"label_agreement":null},{"id":"W4251891644","doi":"10.1002/div.7883","title":"Tootsie Roll Industries Inc","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Sugar; Commerce; Advertising; Grocery store; Agricultural science; Agricultural economics; Food science; Chemistry; Economics; Environmental science","score_opus":0.07578881977211245,"score_gpt":0.21377594813161446,"score_spread":0.137987128359502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251891644","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011198944,0.00051216007,0.000388939,0.0005339561,0.0002604873,0.000054114542,0.0022363097,0.001229235,0.99366486],"genre_scores_gemma":[0.0032854096,0.0004759604,0.00028716747,0.00021632531,0.000039586936,0.000021534706,0.0019965812,0.00016295115,0.9935144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994424,0.000020019443,0.000020278387,0.00011845771,0.00033796122,0.0000608479],"domain_scores_gemma":[0.9991648,0.000069925634,0.00005882312,0.00013543834,0.0004012408,0.00016967098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030488786,0.00085196696,0.00035120384,0.0025882525,0.0012293521,0.0038515266,0.00065807055,0.0010714454,0.7641469],"category_scores_gemma":[0.0010768889,0.00045464106,0.0004271957,0.002002543,0.00036225974,0.0018080135,0.0014864716,0.0010976661,0.61798614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100799494,0.00014867961,0.0012345742,0.00020472362,0.00000656643,0.00018569326,0.000107198946,0.00008139818,0.0019594384,0.008642481,0.7768041,0.21052435],"study_design_scores_gemma":[0.0000069817543,0.000018452294,0.0007661452,0.000047419002,0.000002594312,0.00009150701,0.000056620775,0.000053307296,0.00030855028,0.0003789521,0.99826604,0.000003490739],"about_ca_topic_score_codex":0.0053048707,"about_ca_topic_score_gemma":0.01390791,"teacher_disagreement_score":0.7641469,"about_ca_system_score_codex":0.0008576763,"about_ca_system_score_gemma":0.0019797771,"threshold_uncertainty_score":0.33641577},"labels":[],"label_agreement":null},{"id":"W4253295825","doi":"10.1108/oxan-es224660","title":"Second-quarter GDP shows improving Argentina outlook","year":2017,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Headline; Economics; Real gross domestic product; Geography; Business; Macroeconomics; Advertising; Archaeology","score_opus":0.02680583272887164,"score_gpt":0.2312947053928554,"score_spread":0.20448887266398377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253295825","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013114004,0.018462945,0.0011115059,0.068059154,0.036296006,0.00013159301,0.17257808,0.00460838,0.68563837],"genre_scores_gemma":[0.05412716,0.012438403,0.0018866044,0.0057434374,0.012245395,0.00022154488,0.10436791,0.0034911158,0.80547845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994073,0.000033751854,0.000024064679,0.00006926283,0.0003279906,0.00013766246],"domain_scores_gemma":[0.99880743,0.00005637322,0.00017430725,0.0000712517,0.0006379236,0.00025268557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083595846,0.000829673,0.00047339566,0.0015314922,0.0007157476,0.0034665603,0.00040553667,0.0015414738,0.07665758],"category_scores_gemma":[0.0021718678,0.00018948439,0.00030098084,0.002002589,0.00025505482,0.0015581568,0.0011240542,0.0019904417,0.042345274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004924926,0.000008547293,0.0006020368,0.0000647714,0.0000025416746,0.000032391796,0.000014836836,0.000060563994,0.00016022653,0.001073907,0.98241735,0.015513605],"study_design_scores_gemma":[0.00001662262,0.0000114270115,0.0095946435,0.00008022034,0.000004393384,0.000025910724,0.00004149147,0.00008797316,0.00022877226,0.00045032141,0.98945063,0.000007480593],"about_ca_topic_score_codex":0.019282004,"about_ca_topic_score_gemma":0.023699949,"teacher_disagreement_score":0.07665758,"about_ca_system_score_codex":0.0014596302,"about_ca_system_score_gemma":0.001788512,"threshold_uncertainty_score":0.25644517},"labels":[],"label_agreement":null},{"id":"W4253893620","doi":"10.1037/e605342012-031","title":"Effect of Recession (2008-2010) on Small and Medium Enterprises (SMEs) in Canada","year":2011,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Business; Small and medium-sized enterprises; Economics; Finance; Keynesian economics","score_opus":0.0276781926525014,"score_gpt":0.2335829628168063,"score_spread":0.2059047701643049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253893620","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054907105,0.0003669806,0.00002780348,0.00025006317,0.000020542571,0.000012817911,0.99306667,0.000051331182,0.00071311137],"genre_scores_gemma":[0.026747672,0.0009289365,0.00015912202,0.00013875945,0.00002329003,0.000084129526,0.9670829,0.000035779027,0.0047993883],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987319,0.000055984678,0.00014260266,0.00020790577,0.00039407404,0.0004675333],"domain_scores_gemma":[0.9926393,0.0005224611,0.0013004033,0.00028667523,0.0042791176,0.00097211084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078605424,0.0011509779,0.0013473872,0.006586442,0.0016365126,0.002694579,0.0024392086,0.0012705922,0.017984811],"category_scores_gemma":[0.0056904834,0.0005921532,0.0013449044,0.017839804,0.00046618815,0.0009150495,0.0017563835,0.001631159,0.004930872],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024599646,0.00006807513,0.1361212,0.0010386482,0.00029719822,0.00014443096,0.0003007431,0.0018318654,0.00010773974,0.0014476351,0.8512762,0.0071202624],"study_design_scores_gemma":[0.00021614542,0.000034416586,0.7164789,0.0008104019,0.00025567785,0.000120793484,0.0014513034,0.0019932534,0.00043537005,0.0002704762,0.27783588,0.00009731304],"about_ca_topic_score_codex":0.99055403,"about_ca_topic_score_gemma":0.99308467,"teacher_disagreement_score":0.017984811,"about_ca_system_score_codex":0.01642358,"about_ca_system_score_gemma":0.042014826,"threshold_uncertainty_score":0.11916196},"labels":[],"label_agreement":null},{"id":"W4254407443","doi":"10.24124/2009/bpgub1387","title":"Female enterprises in resource-dependent communities: entry decisions of female entrepreneurs in the Cariboo Regional District, BC","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Positive Living North","funders":"","keywords":"Resource (disambiguation); Business; Female entrepreneurs; Entrepreneurship; Barriers to entry; Economic growth; Economic geography; Geography; Economics; Industrial organization; Market structure; Finance","score_opus":0.04898443044652822,"score_gpt":0.26106453649885275,"score_spread":0.21208010605232452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254407443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993155,0.000025737603,0.00001067335,0.00006445816,0.0000012761973,0.0000070774095,0.000018145574,2.2907658e-7,0.0005569522],"genre_scores_gemma":[0.9956002,0.00014312624,0.000050107337,0.00005386263,0.0000025583329,0.000009429059,0.000050377625,0.0000012854259,0.0040888875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995503,0.000115913455,0.0000111497175,0.000047853307,0.00006948142,0.0002052096],"domain_scores_gemma":[0.99925154,0.00012999985,0.00011451164,0.000012891643,0.00011608611,0.00037491854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004053189,0.0001734042,0.00029476485,0.0005036739,0.0026265373,0.0014460145,0.0004385434,0.00048614672,0.0029107912],"category_scores_gemma":[0.0011881024,0.0002232492,0.000111883404,0.00049902534,0.000642899,0.0005093764,0.0009710412,0.0007045188,0.0006683835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034898167,0.00090428576,0.8828872,0.000045973895,0.000017558212,0.0016737698,0.08697228,0.0001780826,0.0017809584,0.00041322032,0.0013693847,0.023408327],"study_design_scores_gemma":[0.000012796527,0.0002696548,0.6939954,0.000059673534,0.000007852608,0.00036392626,0.30190912,0.00048106594,0.00019811589,0.00015232722,0.0025302295,0.000019800114],"about_ca_topic_score_codex":0.31898537,"about_ca_topic_score_gemma":0.69071275,"teacher_disagreement_score":0.68101466,"about_ca_system_score_codex":0.001847564,"about_ca_system_score_gemma":0.0016926355,"threshold_uncertainty_score":0.6342573},"labels":[],"label_agreement":null},{"id":"W4255017416","doi":"10.2139/ssrn.2461655","title":"A Multiple Testing Approach to the Regularisation of Large Sample Correlation Markets","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Economic and Social Research Council","keywords":"Correlation; Sample (material); Econometrics; Statistics; Mathematics; Economics; Computer science; Chemistry; Chromatography","score_opus":0.020930019637019286,"score_gpt":0.20555321034247975,"score_spread":0.18462319070546046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255017416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01714567,0.00015392777,0.9802982,0.000396165,0.00009748051,0.00014407963,0.00012005709,0.0006626232,0.0009818713],"genre_scores_gemma":[0.5159285,0.00022297728,0.47649342,0.00028864594,0.0006844957,0.00090879813,0.0005541545,0.00057294994,0.004346005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.94018584,0.04649234,0.0018851161,0.006554615,0.0035782412,0.0013037552],"domain_scores_gemma":[0.5033184,0.43815508,0.012649494,0.03611081,0.007753685,0.0020124584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.063761376,0.0016803441,0.0040227664,0.00581168,0.0026001798,0.004276539,0.008098663,0.004099166,0.010992649],"category_scores_gemma":[0.31971952,0.00155215,0.0038391233,0.0057179774,0.0063231583,0.0065573063,0.0043632523,0.0058298674,0.0008777497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012123021,0.0005824827,0.031957295,0.00068730337,0.002576453,0.002882213,0.0018340443,0.13134901,0.0050376393,0.4821941,0.0071793515,0.33250788],"study_design_scores_gemma":[0.00017942184,0.00039631248,0.004831326,0.000068583875,0.00019521113,0.0004992996,0.00017973388,0.7649838,0.0018638764,0.2242743,0.0024431697,0.00008499505],"about_ca_topic_score_codex":0.0032948283,"about_ca_topic_score_gemma":0.0030693365,"teacher_disagreement_score":0.063761376,"about_ca_system_score_codex":0.0013514232,"about_ca_system_score_gemma":0.003146974,"threshold_uncertainty_score":0.33720636},"labels":[],"label_agreement":null},{"id":"W4255295208","doi":"10.2139/ssrn.885690","title":"Who Enters, Where, and Why? The Influence of Capabilities and Initial Resource Endowments on the Location Choices of De Novo Enterprises","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resource (disambiguation); Business; Industrial organization; Economics; Microeconomics; Economic geography; Natural resource economics; Computer science","score_opus":0.008493559648850667,"score_gpt":0.20544778514841597,"score_spread":0.1969542254995653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255295208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915826,0.0002513772,0.0018221614,0.0005982597,0.0000046404352,0.0000064271603,0.00007852168,0.0000061175865,0.0056500444],"genre_scores_gemma":[0.9986405,0.000136017,0.00027451204,0.000016748218,0.0000046964074,0.000001989527,0.000020879404,0.000004052168,0.0009007636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999209,0.00040009271,0.000038626007,0.000106269305,0.000058315076,0.00018766995],"domain_scores_gemma":[0.9794596,0.012791693,0.004027871,0.0006749729,0.0008640934,0.0021816774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019089346,0.00016686856,0.00045057255,0.0005367661,0.0005299513,0.0037487028,0.0004669531,0.00081874186,0.005849883],"category_scores_gemma":[0.014144173,0.00031952362,0.00029142006,0.0005080688,0.0011280414,0.0033006808,0.0012334889,0.0007510429,0.000800413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025866886,0.00048814307,0.7858301,0.00016742242,0.00032478225,0.0019672203,0.003719771,0.03675147,0.0089330375,0.09503167,0.0017490338,0.062450677],"study_design_scores_gemma":[0.00022291945,0.0006514879,0.6603904,0.00023634332,0.0003352146,0.0012798746,0.022519806,0.057576694,0.00572552,0.2430994,0.007723131,0.00023923567],"about_ca_topic_score_codex":0.0050063445,"about_ca_topic_score_gemma":0.010629604,"teacher_disagreement_score":0.005849883,"about_ca_system_score_codex":0.0007015614,"about_ca_system_score_gemma":0.00059156853,"threshold_uncertainty_score":0.019569755},"labels":[],"label_agreement":null},{"id":"W4283214137","doi":"10.33423/jabe.v24i3.5195","title":"Changes in Management Intensity, Management Wage Premium, and Employment Growth Across the U.S. Economy 2002 to 2020","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wage growth; Economics; Wage; Convergence (economics); Divergence (linguistics); Labour economics; Demographic economics; Economic growth","score_opus":0.016471523267876337,"score_gpt":0.20054733617243542,"score_spread":0.18407581290455907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283214137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98816305,0.00022127434,0.000116537456,0.0003231236,0.000021610307,0.000006287567,0.009098549,0.000020961355,0.0020286315],"genre_scores_gemma":[0.9816821,0.0001943428,0.00011434995,0.0001222196,0.000025490868,0.000012818787,0.016380899,0.000005825218,0.0014620213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998023,0.000026126605,0.00001903619,0.000047680584,0.000049020655,0.00005591969],"domain_scores_gemma":[0.9986217,0.0001447459,0.00061744376,0.000057118297,0.00034699202,0.00021189541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045226672,0.00024912466,0.00016391608,0.0012390929,0.00023893549,0.00081454165,0.00033858672,0.0004301372,0.0018034471],"category_scores_gemma":[0.0014992901,0.00012605065,0.0003505046,0.0021451132,0.0001638439,0.0005402041,0.00052042253,0.00061241805,0.0005111022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012002342,0.00008610536,0.98865116,0.000027058466,0.000090274574,0.00007810192,0.00016805496,0.00071036257,0.00038610582,0.00021068202,0.003470086,0.0060020615],"study_design_scores_gemma":[0.000002548166,0.000023065691,0.99808866,0.00000784636,0.000013515751,0.000028343997,0.00020546408,0.0003687703,0.00009485874,0.000032036554,0.0011317354,0.000003172345],"about_ca_topic_score_codex":0.058363896,"about_ca_topic_score_gemma":0.1004105,"teacher_disagreement_score":0.058363896,"about_ca_system_score_codex":0.0006865751,"about_ca_system_score_gemma":0.0004692526,"threshold_uncertainty_score":0.116048336},"labels":[],"label_agreement":null},{"id":"W4283582861","doi":"10.5430/rwe.v13n1p56","title":"The Impact of Overseas M&amp;A on Performance Sensitivity of CEO Turnover: Evidence From Chinese Listed Companies","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Endogeneity; Corporate governance; China; Competition (biology); Productivity; Product market; Product (mathematics); Accounting; Industrial organization; Finance; Economics; Market economy; Incentive; Economic growth","score_opus":0.16176329556516894,"score_gpt":0.3642799522818095,"score_spread":0.20251665671664054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283582861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990761,0.00016818113,0.000032974123,0.00011454309,0.0000025027196,0.0000028530267,0.00006626047,9.849749e-7,0.0005355969],"genre_scores_gemma":[0.9996793,0.00007323993,0.000011287985,0.000028910057,0.000006773692,0.0000015571054,0.00007795368,3.6002314e-7,0.00012055891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870884,0.00032947343,0.000152194,0.00023403151,0.0003282362,0.00024725607],"domain_scores_gemma":[0.9848898,0.003665206,0.0079902755,0.0006890821,0.0013187987,0.0014466692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021062754,0.00022805177,0.00023718982,0.001252931,0.0006282913,0.00075622776,0.0004090637,0.00041277922,0.0013435993],"category_scores_gemma":[0.006691684,0.00011385749,0.00039644024,0.0013821386,0.0006111571,0.00050873664,0.00079620775,0.00042708375,0.00013897139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054805758,0.000049610953,0.9955884,0.00002101313,0.000050021805,0.00011776652,0.0006505764,0.000120846584,0.00016209336,0.00012177188,0.00011599657,0.0029470692],"study_design_scores_gemma":[0.0000024956962,0.000032893044,0.9989335,0.000005710401,0.000023139086,0.000017054908,0.0005625987,0.00018664701,0.00006714053,0.00002693584,0.00013872134,0.0000032410194],"about_ca_topic_score_codex":0.034102414,"about_ca_topic_score_gemma":0.04093343,"teacher_disagreement_score":0.034102414,"about_ca_system_score_codex":0.00083184004,"about_ca_system_score_gemma":0.0009282566,"threshold_uncertainty_score":0.06780785},"labels":[],"label_agreement":null},{"id":"W4283588035","doi":"10.1111/asej.12264","title":"How Industrial Design Matters for Firm Growth at Different Stages of Development: Evidence from Korea, 1970s to 2010s","year":2022,"lang":"en","type":"article","venue":"Asian Economic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Academy of Korean Studies","keywords":"Intellectual property; Context (archaeology); Value (mathematics); Industrial organization; Economics; Business; Product (mathematics); New product development; Wage; Production (economics); Marketing; Microeconomics; Market economy","score_opus":0.09023264666203604,"score_gpt":0.23172587479453746,"score_spread":0.14149322813250143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283588035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98608893,0.0054267454,0.00016243549,0.00058403966,0.000019505842,0.000012199136,0.0022356971,0.000009998303,0.0054604844],"genre_scores_gemma":[0.994467,0.002298261,0.00010175859,0.00009983229,0.000017214279,0.000007226876,0.0015280255,0.0000051379916,0.0014755044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995497,0.00004766599,0.000055034787,0.00013686373,0.00008226972,0.00012854228],"domain_scores_gemma":[0.99210316,0.0014786196,0.0043865805,0.0002946543,0.00088933023,0.00084770215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085461064,0.0003020891,0.00024414575,0.0024343438,0.00042633017,0.0012138028,0.000502603,0.00044977586,0.0036047453],"category_scores_gemma":[0.0026693614,0.00023744752,0.0006779313,0.0040222583,0.00067390205,0.0011673066,0.0009256516,0.00077883154,0.0005948605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015743489,0.00010923068,0.9697444,0.00020365274,0.00011160282,0.00042125856,0.00097147195,0.00027794778,0.00020058872,0.0010503549,0.0020919263,0.02466014],"study_design_scores_gemma":[0.000006258636,0.00005325978,0.9943551,0.00008477012,0.000058832895,0.000080811646,0.0012471826,0.00016028932,0.00013565218,0.00014284463,0.003666815,0.000008137827],"about_ca_topic_score_codex":0.026838208,"about_ca_topic_score_gemma":0.043924246,"teacher_disagreement_score":0.026838208,"about_ca_system_score_codex":0.00080147356,"about_ca_system_score_gemma":0.0009011208,"threshold_uncertainty_score":0.05336398},"labels":[],"label_agreement":null},{"id":"W4283758826","doi":"10.1257/mac.20170410","title":"Radical and Incremental Innovation: The Roles of Firms, Managers, and Innovators","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Sorting; Human capital; Open innovation; Marketing; Economics; Market economy; Computer science","score_opus":0.01223857274826628,"score_gpt":0.21395646190147313,"score_spread":0.20171788915320685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283758826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97369826,0.0024733231,0.0058523575,0.0034481655,0.00003412419,0.00006384681,0.0001998356,0.000018375471,0.0142117655],"genre_scores_gemma":[0.99643195,0.00051103637,0.0005003211,0.00011931255,0.000046418434,0.000019171177,0.000042947395,0.0000022388604,0.0023265441],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841833,0.0005698858,0.00007242225,0.00027951223,0.00020139886,0.00045855064],"domain_scores_gemma":[0.96389306,0.02187606,0.00894573,0.00087079755,0.0006828297,0.0037315101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00329392,0.0002631171,0.00053166726,0.0013067257,0.00072611484,0.0032171754,0.0007915821,0.001881868,0.01193535],"category_scores_gemma":[0.017791327,0.00022636077,0.0005521073,0.0011645361,0.0025200539,0.0035074214,0.0017341743,0.0010607737,0.0009337202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005256475,0.00040811635,0.8154509,0.0003056102,0.00021449645,0.0008680863,0.0023861302,0.012301707,0.0017850662,0.09841929,0.0017851784,0.065549836],"study_design_scores_gemma":[0.00021479742,0.0010745691,0.73806924,0.0003071961,0.00035696154,0.0011704864,0.008241113,0.033064142,0.0016464723,0.20015517,0.015563478,0.00013635267],"about_ca_topic_score_codex":0.002193383,"about_ca_topic_score_gemma":0.0026306005,"teacher_disagreement_score":0.01193535,"about_ca_system_score_codex":0.0009954623,"about_ca_system_score_gemma":0.00095179846,"threshold_uncertainty_score":0.03992772},"labels":[],"label_agreement":null},{"id":"W4285110185","doi":"10.1109/tem.2022.3159251","title":"On the Diffusion of Subscription-Based Services: The Roles of Price, Advertising, and Customers’ Defection","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing mix modeling; Marketing mix; Marketing; Profitability index; Operationalization; Imitation; Business; Advertising; Marketing effectiveness; Return on marketing investment","score_opus":0.008222253556329011,"score_gpt":0.16701242951615444,"score_spread":0.15879017595982542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285110185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9183128,0.0029541852,0.06665923,0.0027738072,0.000042207725,0.00006397553,0.00016783414,0.00009146652,0.008934473],"genre_scores_gemma":[0.9953805,0.0011600548,0.0018255202,0.000045736888,0.00003377924,0.000012905371,0.000055828423,0.000010793508,0.0014748042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99931645,0.000266434,0.000041386884,0.0001234511,0.000105252904,0.00014703012],"domain_scores_gemma":[0.9783386,0.017786663,0.002108779,0.00044496398,0.0007761579,0.0005448483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035002287,0.0006212688,0.0010156628,0.0013327948,0.0005474665,0.0020939838,0.0008767307,0.0016395242,0.0028963843],"category_scores_gemma":[0.015051272,0.0003138767,0.0010244445,0.0012577322,0.0015412765,0.0030206651,0.0009498309,0.0017623184,0.00033146376],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006378604,0.0004526663,0.16793384,0.00037686486,0.0003366419,0.0011945475,0.0021005827,0.53540045,0.0071541453,0.20060107,0.0020392668,0.08177219],"study_design_scores_gemma":[0.000039829687,0.00022030818,0.028952498,0.00006571479,0.00017832663,0.0002629048,0.00065600197,0.92809635,0.0008830301,0.039022155,0.0015318313,0.000091036825],"about_ca_topic_score_codex":0.03057407,"about_ca_topic_score_gemma":0.014212428,"teacher_disagreement_score":0.03057407,"about_ca_system_score_codex":0.0021565978,"about_ca_system_score_gemma":0.00086121535,"threshold_uncertainty_score":0.060792267},"labels":[],"label_agreement":null},{"id":"W4285228688","doi":"10.2139/ssrn.4107084","title":"Observational Learning and Firm Dynamics","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Observational study; Dynamics (music); Observational learning; Econometrics; Psychology; Economics; Mathematics education; Mathematics; Statistics; Experiential learning; Pedagogy","score_opus":0.021309078676614066,"score_gpt":0.21684925677268635,"score_spread":0.19554017809607227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285228688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8405087,0.003118483,0.110194236,0.016405627,0.00015878823,0.000055510474,0.0012929864,0.00031647005,0.02794916],"genre_scores_gemma":[0.994304,0.00070185185,0.0016182391,0.00012976876,0.00007991651,0.000010830302,0.00021355256,0.000013802375,0.002928058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990754,0.00047248113,0.000061527055,0.00019212626,0.00011921804,0.000079181606],"domain_scores_gemma":[0.91014874,0.07180512,0.009265057,0.0054091066,0.0017539283,0.0016179972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004987262,0.00022525497,0.000586055,0.0013453925,0.00056861143,0.0021011462,0.0008341033,0.0015285244,0.010476844],"category_scores_gemma":[0.059761785,0.0003558107,0.00045276317,0.0010915009,0.0022032012,0.004871089,0.001671955,0.0018099473,0.0006131367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002013762,0.00033275544,0.11964341,0.00019814905,0.00018856085,0.0005051293,0.0013276426,0.04863043,0.00060927076,0.7385616,0.0056784195,0.0841234],"study_design_scores_gemma":[0.00003756038,0.000055297605,0.025206191,0.00005810629,0.000039768147,0.00016490751,0.00043567235,0.10905556,0.0002428963,0.8608333,0.0038401373,0.00003064674],"about_ca_topic_score_codex":0.0029139733,"about_ca_topic_score_gemma":0.0028283966,"teacher_disagreement_score":0.010476844,"about_ca_system_score_codex":0.000773887,"about_ca_system_score_gemma":0.0004919314,"threshold_uncertainty_score":0.035048604},"labels":[],"label_agreement":null},{"id":"W4287876210","doi":"10.1177/02662426221074053","title":"On the consequences of firm growth","year":2022,"lang":"en","type":"preprint","venue":"International Small Business Journal Researching Entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Business; Natural resource economics; Monetary economics","score_opus":0.13638761650674297,"score_gpt":0.3028656818017788,"score_spread":0.16647806529503584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287876210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6828308,0.005841054,0.003999279,0.034009486,0.00021831709,0.000039879327,0.00048326806,0.000039499388,0.2725384],"genre_scores_gemma":[0.9959019,0.0015911862,0.00015005648,0.00039921905,0.00009001126,0.000007917151,0.000052235264,0.000005588604,0.0018019689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991209,0.00036400155,0.000034201024,0.000106681924,0.00015514152,0.00021909928],"domain_scores_gemma":[0.9902783,0.006714355,0.0013113905,0.00046112592,0.0006780291,0.00055671413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015925409,0.00017850977,0.00022506392,0.0008406502,0.0010739671,0.0030245662,0.00037829913,0.0010657406,0.0075839316],"category_scores_gemma":[0.010861499,0.00007096267,0.00017681274,0.0012559994,0.0028892858,0.0029318251,0.0014683176,0.0012870725,0.000482841],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038330734,0.00024140357,0.10903529,0.0003076855,0.00004482969,0.0028319256,0.0043772217,0.012444132,0.0019635258,0.72874886,0.011260772,0.128361],"study_design_scores_gemma":[0.000029169158,0.0001773149,0.16191635,0.00025736477,0.00002988604,0.0009028018,0.010809029,0.006553854,0.0014132577,0.76929486,0.04855788,0.000058368838],"about_ca_topic_score_codex":0.002323105,"about_ca_topic_score_gemma":0.0021195193,"teacher_disagreement_score":0.0075839316,"about_ca_system_score_codex":0.0014103531,"about_ca_system_score_gemma":0.0005809723,"threshold_uncertainty_score":0.025370836},"labels":[],"label_agreement":null},{"id":"W4291754993","doi":"10.3386/w30342","title":"How Worker Productivity and Wages Grow with Tenure and Experience: The Firm Perspective","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Economic and Social Research Council; Danmarks Frie Forskningsfond; Danmarks Grundforskningsfond; Alfred P. Sloan Foundation; National Research Foundation; University of Edinburgh","keywords":"Perspective (graphical); Productivity; Labour economics; Business; Efficiency wage; Economics; Economic growth; Wage; Computer science","score_opus":0.30048277285885283,"score_gpt":0.4394411988952649,"score_spread":0.13895842603641206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95664614,0.0025217065,0.0051378813,0.0046149604,0.000044672088,0.000021824468,0.000877938,0.000031354306,0.030103559],"genre_scores_gemma":[0.99664646,0.00048066303,0.0003490113,0.00012525506,0.000038602528,0.00000625352,0.000109077424,0.0000047798794,0.002239742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911386,0.0002773321,0.000036478003,0.00016037315,0.00014814053,0.0002638436],"domain_scores_gemma":[0.992623,0.0034335384,0.0022296663,0.00040852063,0.00036656624,0.00093868835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011009874,0.00014976926,0.00029843693,0.0010758656,0.00058769615,0.0031709308,0.00044556402,0.001055652,0.003986848],"category_scores_gemma":[0.0091654565,0.00018440191,0.00030305603,0.002064401,0.001240916,0.0024639808,0.0011057404,0.0009598717,0.0006478359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017820486,0.00024759446,0.88762647,0.000072607174,0.00011568993,0.00029407477,0.0018243775,0.0066513144,0.0010961334,0.03149788,0.002204351,0.06819142],"study_design_scores_gemma":[0.000014927554,0.00013913048,0.95980054,0.000051641633,0.000055229717,0.00018744725,0.002257429,0.005263482,0.00037831528,0.025882298,0.005938063,0.00003147999],"about_ca_topic_score_codex":0.011869334,"about_ca_topic_score_gemma":0.011736751,"teacher_disagreement_score":0.011869334,"about_ca_system_score_codex":0.0010761342,"about_ca_system_score_gemma":0.0006044789,"threshold_uncertainty_score":0.023600519},"labels":[],"label_agreement":null},{"id":"W4292176514","doi":"10.2139/ssrn.4190158","title":"How Worker Productivity and Wages Grow with Tenure and Experience: The Firm Perspective","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Perspective (graphical); Productivity; Labour economics; Business; Knowledge worker; Efficiency wage; Economics; Work (physics); Wage; Economic growth","score_opus":0.01114641443089938,"score_gpt":0.19897982330679198,"score_spread":0.1878334088758926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292176514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448327,0.005194196,0.0041478975,0.012728215,0.00008135308,0.00001515167,0.00069984957,0.000032628504,0.032268096],"genre_scores_gemma":[0.9932185,0.0012276106,0.00023238696,0.00033923826,0.000095765325,0.0000051853203,0.00007775211,0.000008621213,0.0047949473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992774,0.00021490746,0.00002596137,0.00013913818,0.00008833548,0.00025421058],"domain_scores_gemma":[0.9919934,0.004752703,0.0015038416,0.0002867035,0.0003214294,0.0011419498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014339649,0.00027360112,0.0005612719,0.0010603433,0.000682139,0.004902192,0.00071091525,0.0029001585,0.010039208],"category_scores_gemma":[0.008712455,0.0003000643,0.00061652664,0.0020530967,0.0020992483,0.0041382816,0.0013932362,0.0018287384,0.0012698495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006410732,0.0008044752,0.74131644,0.000266902,0.0004105007,0.0010285245,0.005723048,0.015758192,0.0031393918,0.10853567,0.0057408493,0.11663504],"study_design_scores_gemma":[0.00006432259,0.00039186937,0.80040306,0.00018980702,0.0002377818,0.0004912692,0.010218587,0.011482143,0.00076437974,0.16211686,0.013530819,0.00010917978],"about_ca_topic_score_codex":0.0111475345,"about_ca_topic_score_gemma":0.013073086,"teacher_disagreement_score":0.0111475345,"about_ca_system_score_codex":0.0010238307,"about_ca_system_score_gemma":0.000874811,"threshold_uncertainty_score":0.033584476},"labels":[],"label_agreement":null},{"id":"W4292772974","doi":"10.2139/ssrn.4196459","title":"Inefficient Exit of Firms: Measuring the Impact on Aggregate Productivity","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Aggregate (composite); Business; Industrial organization; Economics; Econometrics; Macroeconomics","score_opus":0.02291340818112467,"score_gpt":0.22552219676027915,"score_spread":0.2026087885791545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292772974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970784,0.000035591744,0.0015032942,0.000028710265,0.0000020305795,0.000009511678,0.00030939563,0.000015644238,0.0010174097],"genre_scores_gemma":[0.9987942,0.000028369579,0.00044316353,0.000008383449,0.0000056195154,0.000008531979,0.00039511282,0.0000070187366,0.00030963024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824,0.0006365329,0.00020087109,0.00026732986,0.00034824418,0.00030712254],"domain_scores_gemma":[0.97652745,0.011280539,0.0070064343,0.0022729333,0.0016576702,0.0012549218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032596225,0.0003866575,0.0006889336,0.0019274802,0.00027393864,0.0015398023,0.00049650826,0.0010967295,0.001558386],"category_scores_gemma":[0.016846137,0.00021521069,0.00059163925,0.0022792155,0.00068122306,0.0012022451,0.0011229154,0.0007260895,0.000379358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054818846,0.00034253954,0.9322276,0.00006636602,0.0002519644,0.00020174516,0.00033109006,0.045248505,0.0045406716,0.0029470224,0.0003442482,0.012950068],"study_design_scores_gemma":[0.000029539167,0.00056955154,0.9402905,0.000016646107,0.00009331847,0.00018755003,0.00038123326,0.049958188,0.0047261966,0.0032091676,0.0005111236,0.00002693471],"about_ca_topic_score_codex":0.0014822531,"about_ca_topic_score_gemma":0.0012553803,"teacher_disagreement_score":0.0032596225,"about_ca_system_score_codex":0.00077699043,"about_ca_system_score_gemma":0.0005215558,"threshold_uncertainty_score":0.017238796},"labels":[],"label_agreement":null},{"id":"W4296436669","doi":"10.2139/ssrn.4222344","title":"How Worker Productivity and Wages Grow with Tenure and Experience: The Firm Perspective","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Economic and Social Research Council","keywords":"Perspective (graphical); Productivity; Labour economics; Economics; Efficiency wage; Business; Economic growth; Wage","score_opus":0.01114641443089938,"score_gpt":0.19897982330679198,"score_spread":0.1878334088758926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296436669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448327,0.005194196,0.0041478975,0.012728215,0.00008135308,0.00001515167,0.00069984957,0.000032628504,0.032268096],"genre_scores_gemma":[0.9932185,0.0012276106,0.00023238696,0.00033923826,0.000095765325,0.0000051853203,0.00007775211,0.000008621213,0.0047949473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992774,0.00021490746,0.00002596137,0.00013913818,0.00008833548,0.00025421058],"domain_scores_gemma":[0.9919934,0.004752703,0.0015038416,0.0002867035,0.0003214294,0.0011419498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014339649,0.00027360112,0.0005612719,0.0010603433,0.000682139,0.004902192,0.00071091525,0.0029001585,0.010039208],"category_scores_gemma":[0.008712455,0.0003000643,0.00061652664,0.0020530967,0.0020992483,0.0041382816,0.0013932362,0.0018287384,0.0012698495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006410732,0.0008044752,0.74131644,0.000266902,0.0004105007,0.0010285245,0.005723048,0.015758192,0.0031393918,0.10853567,0.0057408493,0.11663504],"study_design_scores_gemma":[0.00006432259,0.00039186937,0.80040306,0.00018980702,0.0002377818,0.0004912692,0.010218587,0.011482143,0.00076437974,0.16211686,0.013530819,0.00010917978],"about_ca_topic_score_codex":0.0111475345,"about_ca_topic_score_gemma":0.013073086,"teacher_disagreement_score":0.0111475345,"about_ca_system_score_codex":0.0010238307,"about_ca_system_score_gemma":0.000874811,"threshold_uncertainty_score":0.033584476},"labels":[],"label_agreement":null},{"id":"W4296820549","doi":"","title":"Les facteurs de développement de la jeune entreprise technologique","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science","score_opus":0.02276461607854028,"score_gpt":0.23924129039847286,"score_spread":0.2164766743199326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296820549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610491,0.017396457,0.0011149462,0.0029129663,0.00011993159,0.000011535396,0.002582689,0.000048253147,0.014764125],"genre_scores_gemma":[0.98427826,0.007714342,0.0007789545,0.00011514775,0.00043957573,0.00002363741,0.0011592505,0.00002295653,0.0054678572],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9983394,0.0004471563,0.00016922955,0.000247208,0.0005391708,0.00025790132],"domain_scores_gemma":[0.9655169,0.021471445,0.007984059,0.001039142,0.0020171937,0.0019711829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070602,0.00046983134,0.0004967104,0.004927409,0.00083921675,0.0050864494,0.00042460178,0.0015130788,0.005685341],"category_scores_gemma":[0.01768341,0.00032782456,0.0006864474,0.00482327,0.001246239,0.0023424837,0.00072641653,0.0028644553,0.0009207982],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071992166,0.00018643177,0.9083171,0.00043496297,0.0007418166,0.0014120043,0.0037745992,0.0028355576,0.0019558212,0.021454448,0.0024790193,0.055688277],"study_design_scores_gemma":[0.000025368066,0.00010904766,0.9711221,0.00025425214,0.00015185999,0.001936997,0.0013945487,0.0008877772,0.0009318632,0.0031922814,0.019946381,0.00004762917],"about_ca_topic_score_codex":0.0241273,"about_ca_topic_score_gemma":0.022087432,"teacher_disagreement_score":0.0241273,"about_ca_system_score_codex":0.0019858445,"about_ca_system_score_gemma":0.0015823925,"threshold_uncertainty_score":0.047973752},"labels":[],"label_agreement":null},{"id":"W4299671727","doi":"10.1787/101101136045","title":"The Contribution of ICT to Production Efficiency in Italy","year":2002,"lang":"en","type":"paratext","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches","funders":"","keywords":"Data envelopment analysis; Comparability; Productivity; Production (economics); Information and Communications Technology; Production–possibility frontier; Industrial organization; Productive efficiency; Technical change; Business; ICTS; Econometrics; Economics; Marketing; Computer science; Microeconomics; Statistics; Mathematics; Economic growth","score_opus":0.021122631682308195,"score_gpt":0.2315200516796516,"score_spread":0.2103974199973434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299671727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92392045,0.0060968245,0.0033762853,0.001325173,0.000026740983,0.00003625546,0.0005571875,0.00016656802,0.06449456],"genre_scores_gemma":[0.9969438,0.0009023133,0.00027889293,0.000034969788,0.000029896642,0.000008558551,0.00032618205,0.000015622492,0.0014597317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987232,0.00034991122,0.000067469824,0.00017159825,0.0003740441,0.00031365326],"domain_scores_gemma":[0.99650013,0.0012811786,0.001398884,0.00033786378,0.00034144367,0.00014044676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014927243,0.0004135238,0.00031160648,0.0025053418,0.00018897287,0.0025024023,0.00031768382,0.00030916522,0.0026865273],"category_scores_gemma":[0.0060920855,0.00015523513,0.00064063346,0.004249193,0.0008841425,0.00082738505,0.0010669978,0.00031465688,0.000671226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000786616,0.00031795408,0.62693787,0.00072232215,0.00031206218,0.0016711749,0.0015407847,0.11556837,0.003972469,0.021551095,0.008275658,0.2183436],"study_design_scores_gemma":[0.00002831983,0.00014248876,0.97261333,0.00009566579,0.000072589806,0.00028951452,0.00030370068,0.0101214275,0.00087643234,0.002806246,0.012632462,0.000017894065],"about_ca_topic_score_codex":0.0060753594,"about_ca_topic_score_gemma":0.0027003041,"teacher_disagreement_score":0.0060753594,"about_ca_system_score_codex":0.002183186,"about_ca_system_score_gemma":0.0008438199,"threshold_uncertainty_score":0.015840173},"labels":[],"label_agreement":null},{"id":"W4299955047","doi":"","title":"The Decision to Become an Entrepreneur and the Firm Size Distribution: A Unifying Framework for Policy Analysis","year":2013,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Distribution (mathematics); Business; Industrial organization; Economics; Mathematics","score_opus":0.024052189992354332,"score_gpt":0.2681473096277006,"score_spread":0.24409511963534627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299955047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24285726,0.008682022,0.5910643,0.056171313,0.0004309084,0.00033813162,0.0019219687,0.0001629127,0.0983712],"genre_scores_gemma":[0.95855945,0.0054034577,0.013613042,0.0006651245,0.0004466981,0.00017825127,0.00023177025,0.00004338559,0.020858824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939597,0.0003075518,0.00001742127,0.00009549971,0.000053248572,0.00013033037],"domain_scores_gemma":[0.99735606,0.0019265953,0.0003452726,0.00008262214,0.00009438112,0.00019508367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018631766,0.00046748284,0.0013309879,0.0012949426,0.00078493817,0.0028795733,0.0010099713,0.0025741092,0.010852138],"category_scores_gemma":[0.005240134,0.00037729696,0.0007897689,0.0011496828,0.0019920035,0.0036041643,0.0012423197,0.0023944313,0.00065341126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058368358,0.00009472512,0.004059926,0.00008589892,0.000035217126,0.00018557388,0.00014022127,0.07615759,0.00030752845,0.901556,0.00399278,0.013326209],"study_design_scores_gemma":[0.000035156892,0.000029628656,0.0021901918,0.000056066227,0.000017275239,0.00005022084,0.00021355897,0.13064823,0.000110865665,0.8610497,0.0055794604,0.000019643408],"about_ca_topic_score_codex":0.0057341605,"about_ca_topic_score_gemma":0.004298663,"teacher_disagreement_score":0.010852138,"about_ca_system_score_codex":0.0025346195,"about_ca_system_score_gemma":0.0014520593,"threshold_uncertainty_score":0.036303997},"labels":[],"label_agreement":null},{"id":"W4301366084","doi":"10.18374/jife-22-3.4","title":"FLYING HIGH – INVESTING IN THE CANNABIS INDUSTRY","year":2022,"lang":"en","type":"article","venue":"Journal of International Finance and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Business; Psychology; Psychiatry","score_opus":0.030343904448608565,"score_gpt":0.2184829872883369,"score_spread":0.18813908283972833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301366084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439466,0.0003856539,0.00012766634,0.00030745397,0.000008444078,0.000009375167,0.0003284957,0.000006701893,0.004431509],"genre_scores_gemma":[0.9980702,0.00020608943,0.00006673646,0.00003233853,0.000013601046,0.000001029806,0.00017971273,0.0000015037157,0.001428912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973613,0.00003259421,0.0000122104675,0.000035568883,0.00011588682,0.00006765345],"domain_scores_gemma":[0.99736917,0.00042143834,0.0014975187,0.00009002558,0.00026907193,0.0003527348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041644723,0.00013999538,0.00016595997,0.00068754115,0.0005293498,0.0014521421,0.00022610063,0.00027060427,0.005320708],"category_scores_gemma":[0.0024818187,0.00008491325,0.00018359786,0.0007298722,0.00046448503,0.0006281141,0.00047556727,0.00037238415,0.0006943574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007415818,0.000056163615,0.98282814,0.000033647415,0.00004510997,0.00026719444,0.00040338506,0.0003378499,0.0006864331,0.00080423354,0.00081183825,0.013651906],"study_design_scores_gemma":[0.000003860126,0.000066726745,0.99257165,0.000028902285,0.000029981366,0.00019568719,0.0019419238,0.0012119785,0.00066347606,0.00026611245,0.0030086113,0.0000111282525],"about_ca_topic_score_codex":0.086811624,"about_ca_topic_score_gemma":0.17783143,"teacher_disagreement_score":0.086811624,"about_ca_system_score_codex":0.0015690059,"about_ca_system_score_gemma":0.00077770685,"threshold_uncertainty_score":0.17261267},"labels":[],"label_agreement":null},{"id":"W4308431150","doi":"10.1111/ecca.12449","title":"Migration and Imitation","year":2022,"lang":"en","type":"article","venue":"Economica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Imitation; Competition (biology); Product (mathematics); Quality (philosophy); Intellectual property; Business; Industrial organization; Economics; Economic geography; Labour economics; Political science","score_opus":0.026013989871230842,"score_gpt":0.18646623436265372,"score_spread":0.16045224449142287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308431150","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31314453,0.0030816023,0.20378324,0.018400803,0.0005329438,0.00028725853,0.00056050107,0.00027220004,0.45993692],"genre_scores_gemma":[0.93305326,0.0011198831,0.0045653614,0.00041277756,0.00010336529,0.00010895562,0.00008596622,0.000035384248,0.06051506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992725,0.00029032837,0.000029317787,0.00014803329,0.00006700485,0.00019281068],"domain_scores_gemma":[0.9985025,0.00066253165,0.00030637268,0.00016291655,0.00013581249,0.0002299083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009769589,0.00078351714,0.00078186847,0.0007698657,0.001562838,0.0021467572,0.0015329849,0.0030913886,0.02247286],"category_scores_gemma":[0.0042388393,0.00032505413,0.0014685825,0.0006588626,0.0031516892,0.004006427,0.0023679852,0.001572519,0.0021096056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000625548,0.000055460296,0.0032702484,0.00008361263,0.0000336564,0.00075306685,0.00058930274,0.067523554,0.00042206797,0.9123537,0.0031474906,0.011705336],"study_design_scores_gemma":[0.00013786167,0.0001452998,0.0027233104,0.000116796655,0.000051646683,0.0009803721,0.0010249104,0.17978615,0.00024481266,0.78549653,0.029237552,0.000054636243],"about_ca_topic_score_codex":0.009732831,"about_ca_topic_score_gemma":0.004994565,"teacher_disagreement_score":0.02247286,"about_ca_system_score_codex":0.0021602663,"about_ca_system_score_gemma":0.0012650458,"threshold_uncertainty_score":0.07517922},"labels":[],"label_agreement":null},{"id":"W4308495326","doi":"10.54691/bcpbm.v31i.2667","title":"Research on the Corporate Value of Ferrari Based on the Valuation Method","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Earnings; Earnings per share; Revenue; Economics; Profit (economics); Debt; Business; Accounting; Finance; Microeconomics","score_opus":0.3102913932796168,"score_gpt":0.33740657838137,"score_spread":0.027115185101753203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308495326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8906052,0.009332656,0.022566846,0.0012418401,0.000184225,0.0002539223,0.0003128529,0.0000376988,0.075464755],"genre_scores_gemma":[0.9891884,0.0023926008,0.0055218446,0.000045760076,0.00010065984,0.00006125233,0.00012722157,0.0000056073986,0.0025566702],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800545,0.0005831134,0.00013947727,0.00020322448,0.000952986,0.000115842864],"domain_scores_gemma":[0.9941104,0.0033936112,0.0010324348,0.00021088046,0.0010720184,0.00018057234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025655217,0.00043143387,0.0003675347,0.006427274,0.00055837753,0.0028314833,0.000575831,0.00045183775,0.00194076],"category_scores_gemma":[0.009061355,0.00012350664,0.0005377567,0.004905743,0.0010436185,0.005038159,0.00071114727,0.00057395844,0.00021135368],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028145852,0.00031341138,0.38373408,0.00095888553,0.00027439866,0.0010597778,0.0071379254,0.0038693333,0.0056157014,0.12085244,0.003879572,0.47202307],"study_design_scores_gemma":[0.00005162863,0.00086972234,0.81772596,0.0016832496,0.00037986334,0.0022162378,0.019709086,0.055753957,0.007423067,0.056691818,0.037247833,0.00024762726],"about_ca_topic_score_codex":0.0022452404,"about_ca_topic_score_gemma":0.001738438,"teacher_disagreement_score":0.006427274,"about_ca_system_score_codex":0.0019894806,"about_ca_system_score_gemma":0.0006994035,"threshold_uncertainty_score":0.014434755},"labels":[],"label_agreement":null},{"id":"W4310350902","doi":"10.54932/ethv2552","title":"Stratégie de mise à niveau technologique des entreprises québécoises","year":2022,"lang":"fr","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.06112372088327696,"score_gpt":0.24586464429233415,"score_spread":0.18474092340905718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310350902","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82144535,0.006197457,0.014240497,0.014876799,0.00014531243,0.0004837077,0.0010476314,0.00021978274,0.14134343],"genre_scores_gemma":[0.9281067,0.0038305363,0.009048648,0.0011921818,0.000023623184,0.00018272722,0.00060038187,0.000049255137,0.056965847],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741995,0.0005309681,0.00006938216,0.0003466556,0.00083794305,0.0007950497],"domain_scores_gemma":[0.9925471,0.0011752265,0.00060101977,0.00022704116,0.0040032538,0.0014463173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030552857,0.00062960107,0.00045271398,0.0026458963,0.004561324,0.0058151335,0.0010208479,0.0012890752,0.007003407],"category_scores_gemma":[0.005952824,0.00028111006,0.000599413,0.0030764195,0.0015134894,0.0021349043,0.0017844839,0.0013152994,0.0014154157],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031900965,0.000515756,0.39166895,0.001053134,0.00040212576,0.0014853412,0.076242104,0.006431408,0.011992648,0.048289724,0.025806053,0.43579367],"study_design_scores_gemma":[0.00004730827,0.00044613544,0.5006562,0.0012772217,0.00034282453,0.00033506766,0.10355096,0.009847602,0.005801435,0.006219637,0.37120917,0.00026641667],"about_ca_topic_score_codex":0.8264289,"about_ca_topic_score_gemma":0.8871613,"teacher_disagreement_score":0.9678412,"about_ca_system_score_codex":0.03215878,"about_ca_system_score_gemma":0.042476848,"threshold_uncertainty_score":0.3491866},"labels":[],"label_agreement":null},{"id":"W4312219298","doi":"10.54691/bcpbm.v34i.3199","title":"Analysis of the Financial Potential of Apple, Xiaomi, and Nokia: Recommendations for Potential Investors","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Inventory turnover; Business; Leverage (statistics); Return on equity; Shareholder; Asset turnover; Finance; Return on assets; Profitability index; Mathematics; Statistics","score_opus":0.02138288472997732,"score_gpt":0.2098314496527212,"score_spread":0.1884485649227439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312219298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85049,0.019640721,0.0095597785,0.04988074,0.00019036492,0.00028150162,0.0025958891,0.00016982929,0.06719113],"genre_scores_gemma":[0.9781106,0.0064184293,0.0042474843,0.00064707536,0.00014157267,0.000071234885,0.00091972033,0.000013615761,0.009430211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962366,0.00009745228,0.000026843145,0.000043973807,0.00012649881,0.000081491235],"domain_scores_gemma":[0.99705184,0.0012298374,0.000553431,0.000059424925,0.0007590202,0.00034649693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015790865,0.00039168668,0.00035832459,0.0023715722,0.00060703594,0.002422416,0.00040048163,0.00055242813,0.005381359],"category_scores_gemma":[0.005400109,0.00014262117,0.00041571938,0.0016969831,0.00028048415,0.0040056487,0.00049888215,0.0007328937,0.0005827936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005802956,0.0003553548,0.5771971,0.00049903215,0.00016249076,0.0018330438,0.0013927916,0.0037545727,0.0026261897,0.046658874,0.038407408,0.3265329],"study_design_scores_gemma":[0.00010895945,0.00077848166,0.76225877,0.001220923,0.00050213974,0.0011564572,0.025722923,0.04144148,0.0051866937,0.05659436,0.1048094,0.00021940918],"about_ca_topic_score_codex":0.0065313764,"about_ca_topic_score_gemma":0.013108374,"teacher_disagreement_score":0.0065313764,"about_ca_system_score_codex":0.0018748599,"about_ca_system_score_gemma":0.0014008724,"threshold_uncertainty_score":0.01800239},"labels":[],"label_agreement":null},{"id":"W4312367214","doi":"10.2139/ssrn.4294711","title":"Inefficient Exit of Firms: Measuring the Impact on Aggregate Productivity","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Aggregate (composite); Productivity; Business; Natural resource economics; Economics; Industrial organization; Macroeconomics","score_opus":0.02291340818112467,"score_gpt":0.22552219676027915,"score_spread":0.2026087885791545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312367214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970784,0.000035591744,0.0015032942,0.000028710265,0.0000020305795,0.000009511678,0.00030939563,0.000015644238,0.0010174097],"genre_scores_gemma":[0.9987942,0.000028369579,0.00044316353,0.000008383449,0.0000056195154,0.000008531979,0.00039511282,0.0000070187366,0.00030963024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824,0.0006365329,0.00020087109,0.00026732986,0.00034824418,0.00030712254],"domain_scores_gemma":[0.97652745,0.011280539,0.0070064343,0.0022729333,0.0016576702,0.0012549218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032596225,0.0003866575,0.0006889336,0.0019274802,0.00027393864,0.0015398023,0.00049650826,0.0010967295,0.001558386],"category_scores_gemma":[0.016846137,0.00021521069,0.00059163925,0.0022792155,0.00068122306,0.0012022451,0.0011229154,0.0007260895,0.000379358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054818846,0.00034253954,0.9322276,0.00006636602,0.0002519644,0.00020174516,0.00033109006,0.045248505,0.0045406716,0.0029470224,0.0003442482,0.012950068],"study_design_scores_gemma":[0.000029539167,0.00056955154,0.9402905,0.000016646107,0.00009331847,0.00018755003,0.00038123326,0.049958188,0.0047261966,0.0032091676,0.0005111236,0.00002693471],"about_ca_topic_score_codex":0.0014822531,"about_ca_topic_score_gemma":0.0012553803,"teacher_disagreement_score":0.0032596225,"about_ca_system_score_codex":0.00077699043,"about_ca_system_score_gemma":0.0005215558,"threshold_uncertainty_score":0.017238796},"labels":[],"label_agreement":null},{"id":"W4312422750","doi":"10.2139/ssrn.4222186","title":"Service Liberalization and Manufacturing Productivity: Evidence from Chinese Manufacturing Firms","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Productivity; Liberalization; Industrial organization; Tertiary sector of the economy; Manufacturing; Service (business); International trade; Economics; Marketing; Market economy; Economic growth","score_opus":0.017820840319131056,"score_gpt":0.2141888168198734,"score_spread":0.19636797650074234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312422750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849665,0.00034358082,0.000024214112,0.000106886684,0.0000019299916,0.000002702847,0.00015322439,0.0000023142943,0.0008684748],"genre_scores_gemma":[0.9993074,0.00028046104,0.000007331373,0.00001392093,0.000008241541,0.0000012182677,0.00020449128,4.86156e-7,0.00017649328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996118,0.00005373485,0.000036383724,0.00005496734,0.00008230481,0.00016079083],"domain_scores_gemma":[0.99471694,0.0016450618,0.002218284,0.00020179595,0.0005199561,0.000697961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070449896,0.0003101536,0.00035089976,0.0029538302,0.00068888965,0.0011906599,0.0003690643,0.00050891755,0.0031485495],"category_scores_gemma":[0.0023746374,0.00014500653,0.00050023,0.0062605743,0.0010189648,0.0007531482,0.0010267685,0.00047601128,0.00029011327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015441597,0.00007363708,0.9911307,0.000050356204,0.000070486334,0.00030324745,0.0008160017,0.00039768705,0.0005121082,0.0004176496,0.0002037329,0.00587011],"study_design_scores_gemma":[0.0000074564164,0.000053590134,0.99815446,0.0000072875932,0.000059836704,0.000031177864,0.000868715,0.00028463363,0.0001855272,0.00008126414,0.0002615714,0.000004432196],"about_ca_topic_score_codex":0.066782735,"about_ca_topic_score_gemma":0.072265804,"teacher_disagreement_score":0.066782735,"about_ca_system_score_codex":0.0016604775,"about_ca_system_score_gemma":0.0018688918,"threshold_uncertainty_score":0.13278806},"labels":[],"label_agreement":null},{"id":"W4319300206","doi":"10.2139/ssrn.4348599","title":"Standing Strong? The Causal Impact of Public Transit on Firms’ Survival","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Public transport; Transit (satellite); Business; Transport engineering; Engineering","score_opus":0.06206802311948703,"score_gpt":0.2753220214547035,"score_spread":0.2132539983352165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319300206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98189193,0.00080091495,0.00042909972,0.009768486,0.00013246649,0.000012429408,0.0008857406,0.000028386235,0.0060505923],"genre_scores_gemma":[0.9985089,0.00015354894,0.000015296484,0.00008563068,0.000088606845,0.0000018149707,0.00009109394,0.0000034690945,0.0010516278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998909,0.0002846313,0.000050718587,0.00013598886,0.000061938175,0.000557717],"domain_scores_gemma":[0.9653998,0.017891647,0.009967517,0.0014374641,0.0013705527,0.003933082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021332004,0.00021118145,0.00045194564,0.0009567049,0.0008178486,0.0024920923,0.0004946235,0.0020703666,0.02423887],"category_scores_gemma":[0.01667933,0.00020991272,0.0007102543,0.0014606029,0.0015762819,0.0016387984,0.001179955,0.0029480683,0.0013892859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012401423,0.00031793283,0.9589921,0.00010949327,0.00046093902,0.0006756375,0.0006222056,0.0028879496,0.00057668233,0.009586596,0.006265731,0.018264567],"study_design_scores_gemma":[0.00016534734,0.0005483053,0.964643,0.00010990647,0.0006874293,0.00025969485,0.005060693,0.0057733227,0.0007895717,0.016679086,0.0052249925,0.00005861935],"about_ca_topic_score_codex":0.020097926,"about_ca_topic_score_gemma":0.020355955,"teacher_disagreement_score":0.02423887,"about_ca_system_score_codex":0.0008944329,"about_ca_system_score_gemma":0.0014133926,"threshold_uncertainty_score":0.08108705},"labels":[],"label_agreement":null},{"id":"W4321503541","doi":"10.1016/j.econmod.2023.106240","title":"Did the unemployment benefits extension between 2009–2013 deter entrepreneurship in the US? Some evidence and a model of unemployment benefits and entrepreneurship","year":2023,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Western University","keywords":"Entrepreneurship; Unemployment; Economics; Margin (machine learning); Business cycle; Labour economics; Duration (music); Demographic economics; Macroeconomics; Finance","score_opus":0.1467093580530626,"score_gpt":0.2557789430001993,"score_spread":0.10906958494713673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321503541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827899,0.002164153,0.0011853192,0.009241789,0.0001047444,0.000016350517,0.0008749056,0.000029497667,0.0035932995],"genre_scores_gemma":[0.9978473,0.0004996976,0.00008716659,0.00016472898,0.00003813052,0.000004719215,0.00024230106,0.000004772494,0.0011111156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933475,0.00018612941,0.00004939371,0.000113471426,0.00004041783,0.00027576045],"domain_scores_gemma":[0.9935953,0.0035159169,0.0015161033,0.0001844434,0.00031660727,0.0008716749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023813862,0.00035828288,0.0008701734,0.00091230555,0.000879266,0.0027278038,0.0011773406,0.0024016188,0.0053814454],"category_scores_gemma":[0.0075809928,0.0003852327,0.0014201454,0.0014303105,0.0012463713,0.0018540279,0.0014675991,0.0020098514,0.00046011966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017166905,0.0009306638,0.80960375,0.0003831914,0.0008142445,0.0009949034,0.0018847064,0.072443634,0.00043438832,0.06753761,0.012235707,0.031020505],"study_design_scores_gemma":[0.00029277426,0.00044018912,0.6814011,0.00041915866,0.0009292296,0.00026038045,0.0063090185,0.24525787,0.0003612259,0.054331467,0.009878579,0.00011910155],"about_ca_topic_score_codex":0.14127152,"about_ca_topic_score_gemma":0.16628082,"teacher_disagreement_score":0.14127152,"about_ca_system_score_codex":0.0023500558,"about_ca_system_score_gemma":0.00147923,"threshold_uncertainty_score":0.28089845},"labels":[],"label_agreement":null},{"id":"W4322709283","doi":"10.2139/ssrn.4362696","title":"Factor Exposure Heterogeneity in Green and Brown Stocks","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Business; Economics; Econometrics","score_opus":0.02789157417257852,"score_gpt":0.23238611112611426,"score_spread":0.20449453695353575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322709283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754983,0.00020581488,0.000374069,0.00023357652,0.000009066033,0.0000040393056,0.00023795772,0.000008587036,0.0013770602],"genre_scores_gemma":[0.99880385,0.00003710006,0.00003570734,0.00002174201,0.0000113490505,8.7443567e-7,0.00019637556,0.0000030105678,0.0008899651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992798,0.00014386197,0.000060467577,0.00021010589,0.00011686171,0.00018891731],"domain_scores_gemma":[0.9884393,0.006295734,0.0026551974,0.0010287776,0.0007128346,0.0008680129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021353278,0.00019998715,0.0004610665,0.0013819397,0.00037525053,0.001804919,0.00048262952,0.0009448545,0.0065105553],"category_scores_gemma":[0.00991169,0.0001963054,0.0007437766,0.001111224,0.00065257424,0.0014059292,0.000841353,0.00069354894,0.0004304155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000567073,0.00008451542,0.9721139,0.00002360831,0.00051242847,0.00024723454,0.0007389783,0.0028425152,0.0016622724,0.011431611,0.0010389843,0.008736829],"study_design_scores_gemma":[0.00002444965,0.000088831715,0.98058254,0.000020961876,0.00019055713,0.00011189015,0.00095511874,0.005254534,0.00056053326,0.010992333,0.001183892,0.000034257606],"about_ca_topic_score_codex":0.027074898,"about_ca_topic_score_gemma":0.027180193,"teacher_disagreement_score":0.027074898,"about_ca_system_score_codex":0.0006393477,"about_ca_system_score_gemma":0.000334082,"threshold_uncertainty_score":0.053834617},"labels":[],"label_agreement":null},{"id":"W4323027195","doi":"10.2139/ssrn.4368236","title":"Factor Exposure Heterogeneity in Green and Brown Stocks","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Economics; Econometrics","score_opus":0.02789157417257852,"score_gpt":0.23238611112611426,"score_spread":0.20449453695353575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323027195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754983,0.00020581488,0.000374069,0.00023357652,0.000009066033,0.0000040393056,0.00023795772,0.000008587036,0.0013770602],"genre_scores_gemma":[0.99880385,0.00003710006,0.00003570734,0.00002174201,0.0000113490505,8.7443567e-7,0.00019637556,0.0000030105678,0.0008899651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992798,0.00014386197,0.000060467577,0.00021010589,0.00011686171,0.00018891731],"domain_scores_gemma":[0.9884393,0.006295734,0.0026551974,0.0010287776,0.0007128346,0.0008680129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021353278,0.00019998715,0.0004610665,0.0013819397,0.00037525053,0.001804919,0.00048262952,0.0009448545,0.0065105553],"category_scores_gemma":[0.00991169,0.0001963054,0.0007437766,0.001111224,0.00065257424,0.0014059292,0.000841353,0.00069354894,0.0004304155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000567073,0.00008451542,0.9721139,0.00002360831,0.00051242847,0.00024723454,0.0007389783,0.0028425152,0.0016622724,0.011431611,0.0010389843,0.008736829],"study_design_scores_gemma":[0.00002444965,0.000088831715,0.98058254,0.000020961876,0.00019055713,0.00011189015,0.00095511874,0.005254534,0.00056053326,0.010992333,0.001183892,0.000034257606],"about_ca_topic_score_codex":0.027074898,"about_ca_topic_score_gemma":0.027180193,"teacher_disagreement_score":0.027074898,"about_ca_system_score_codex":0.0006393477,"about_ca_system_score_gemma":0.000334082,"threshold_uncertainty_score":0.053834617},"labels":[],"label_agreement":null},{"id":"W4323049148","doi":"10.1515/bejeap-2021-0440","title":"Productivity, Innovation Spillovers, and Mergers: Evidence from a Panel of U.S. Firms","year":2023,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Productivity; Panel data; Economics; Labour economics; Quality (philosophy); Business; Monetary economics; Econometrics; Macroeconomics","score_opus":0.09865997563862272,"score_gpt":0.2925687820608943,"score_spread":0.1939088064222716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323049148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99521744,0.0005388011,0.00010919779,0.00018251783,0.0000037480274,0.0000055674964,0.003296961,0.0000060040975,0.00063981774],"genre_scores_gemma":[0.9949121,0.00043580012,0.00008005938,0.000044286164,0.000016280661,0.000007820894,0.00419618,0.0000014043128,0.00030606537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996265,0.00010681015,0.000035513163,0.00008085452,0.0000683759,0.00008187865],"domain_scores_gemma":[0.99206233,0.0022393882,0.004372663,0.00033335283,0.00042950516,0.00056272635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010178705,0.0002517872,0.00036354348,0.001936643,0.00035982375,0.00093666866,0.00028253547,0.00053901214,0.0016584733],"category_scores_gemma":[0.0034436337,0.00022595302,0.00043150727,0.0034734327,0.00029016502,0.00047850495,0.00081845326,0.00045742645,0.0003644139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008241477,0.00008570082,0.99321085,0.000020828837,0.00015058817,0.0000868562,0.0001559949,0.0010929309,0.00027172078,0.00011834046,0.00094891567,0.0037748662],"study_design_scores_gemma":[0.000007911793,0.000041192365,0.9979651,0.000014615657,0.00004776202,0.000039438954,0.00019059295,0.00064340676,0.00020527355,0.000075662836,0.0007627416,0.0000064192386],"about_ca_topic_score_codex":0.04251279,"about_ca_topic_score_gemma":0.05916027,"teacher_disagreement_score":0.04251279,"about_ca_system_score_codex":0.0005611738,"about_ca_system_score_gemma":0.0004690349,"threshold_uncertainty_score":0.08453065},"labels":[],"label_agreement":null},{"id":"W4323349599","doi":"10.1016/j.lrp.2023.102307","title":"Firm failure and the exploration/exploitation dilemma: The role of firm life cycle","year":2023,"lang":"en","type":"article","venue":"Long Range Planning","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Maturity (psychological); Prosperity; Dilemma; Economics; Transition (genetics); Business; Industrial organization; Microeconomics; Psychology; Economic growth","score_opus":0.03585699625306494,"score_gpt":0.23025211038001123,"score_spread":0.1943951141269463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323349599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81028295,0.0062354887,0.089503326,0.022878617,0.00019129386,0.00010964799,0.000269494,0.00010279719,0.070426464],"genre_scores_gemma":[0.9964737,0.00064298004,0.00093583384,0.0001419402,0.00004678049,0.000015357065,0.000015268231,0.000010187446,0.001717846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989329,0.00053155347,0.000034672314,0.00013685809,0.00012656627,0.00023743403],"domain_scores_gemma":[0.9698093,0.021914938,0.003747631,0.00079816824,0.000925472,0.0028044872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068765054,0.00039913185,0.0010581133,0.0011407443,0.0011935015,0.0056606787,0.0014643889,0.0036109968,0.0071324417],"category_scores_gemma":[0.025359906,0.00038827056,0.0005439034,0.000847987,0.0050531826,0.0072917724,0.0017988888,0.00272551,0.00031102894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048722528,0.00026450926,0.022899339,0.00017425949,0.00013997685,0.0010661279,0.0007927524,0.16592938,0.00090465654,0.76563895,0.0045248535,0.037178054],"study_design_scores_gemma":[0.00005195613,0.00009743708,0.006218498,0.0000638058,0.00003124754,0.00015949298,0.0009958491,0.11390362,0.00017889882,0.8760232,0.0022217885,0.000054241416],"about_ca_topic_score_codex":0.0034052446,"about_ca_topic_score_gemma":0.003970263,"teacher_disagreement_score":0.0071324417,"about_ca_system_score_codex":0.0026527238,"about_ca_system_score_gemma":0.0022510183,"threshold_uncertainty_score":0.03636682},"labels":[],"label_agreement":null},{"id":"W4324317564","doi":"10.1287/mnsc.2023.4715","title":"How Do Restrictions on High-Skilled Immigration Affect Offshoring? Evidence from the H-1B Program","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Offshoring; Microdata (statistics); Business; Immigration; Internationalization; Labour economics; Industrial organization; Economics; International trade; Marketing; Finance; Outsourcing; Population","score_opus":0.051610536411323675,"score_gpt":0.26706979750356274,"score_spread":0.21545926109223906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324317564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900239,0.00022617282,0.00025996385,0.0009796072,0.000020909698,0.000022636003,0.0008667354,0.000009084391,0.0075909495],"genre_scores_gemma":[0.9968328,0.0002279906,0.00009263224,0.00029590377,0.000017238617,0.000022504933,0.00066299434,0.000005799451,0.0018420919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983151,0.00060944253,0.000098085424,0.0002278211,0.00027251488,0.00047708268],"domain_scores_gemma":[0.98180676,0.0052593285,0.009621853,0.0011094087,0.00075957796,0.0014430019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017900254,0.00018366861,0.00028800283,0.00046585588,0.0007583245,0.0013287758,0.0008566215,0.0007303224,0.008036582],"category_scores_gemma":[0.010750223,0.00014816376,0.00043665437,0.00086145615,0.0009543243,0.0008001594,0.0014911338,0.0012747681,0.0010025487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042278325,0.0005723182,0.97490454,0.000085832085,0.00018538724,0.00018141045,0.0014647552,0.0007768261,0.00038263772,0.0019023205,0.002200811,0.01692038],"study_design_scores_gemma":[0.00001876784,0.0001415795,0.99225193,0.000067063724,0.000050793256,0.00002223855,0.00342727,0.0005047039,0.0002180271,0.00043365985,0.0028550385,0.000008825021],"about_ca_topic_score_codex":0.056601275,"about_ca_topic_score_gemma":0.06261328,"teacher_disagreement_score":0.056601275,"about_ca_system_score_codex":0.0006998009,"about_ca_system_score_gemma":0.0010698645,"threshold_uncertainty_score":0.11254364},"labels":[],"label_agreement":null},{"id":"W4361000485","doi":"10.3138/cpp.2021-059","title":"Earnings Inequality Between and Within Firms in Canada’s Commercial Sector","year":2023,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.06817671941459622,"score_gpt":0.2448690449402917,"score_spread":0.1766923255256955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361000485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855187,0.0010843547,0.00016125511,0.0006104163,0.000009352041,0.000015549256,0.0077092024,0.000011490292,0.004879613],"genre_scores_gemma":[0.99349606,0.00044723414,0.00016898483,0.000047038306,0.0000061133505,0.0000083779505,0.0033086492,0.000006012766,0.0025114624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817324,0.00012435977,0.00011015186,0.00030582712,0.00063866354,0.000647785],"domain_scores_gemma":[0.98979414,0.0017500868,0.0021299985,0.0005683596,0.0041505876,0.0016067574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666242,0.0002236504,0.00044565854,0.0035389236,0.0022373102,0.0027233956,0.0011538755,0.00041177016,0.0031378486],"category_scores_gemma":[0.007837609,0.0002270977,0.00042952242,0.009467523,0.0011999095,0.0007100063,0.0013004668,0.0007380588,0.00027135713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001657781,0.000041044463,0.967705,0.000050770366,0.00010513818,0.000092622235,0.00409412,0.0009625969,0.00017746238,0.0021182091,0.0033324503,0.021154728],"study_design_scores_gemma":[0.0000042181446,0.0000070231945,0.9941869,0.000042389143,0.000019689485,0.000013637286,0.0017909387,0.00057627773,0.000088379435,0.00011727191,0.0031419978,0.00001137528],"about_ca_topic_score_codex":0.99739337,"about_ca_topic_score_gemma":0.99817574,"teacher_disagreement_score":0.042084537,"about_ca_system_score_codex":0.042084537,"about_ca_system_score_gemma":0.0420178,"threshold_uncertainty_score":0.30534613},"labels":[],"label_agreement":null},{"id":"W4365791870","doi":"10.2139/ssrn.4404234","title":"Online Appendix for Changepoint Detection in the Cross-Section of Stock Returns A Tutorial on Changepoint Detection Methodologies","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Section (typography); Stock (firearms); Computer science; Appendix; Engineering; Biology; Operating system","score_opus":0.10464728848056415,"score_gpt":0.32681412522182146,"score_spread":0.2221668367412573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365791870","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042027184,0.001287821,0.38911158,0.0017823648,0.0016444846,0.0016866836,0.4930226,0.036539555,0.07072217],"genre_scores_gemma":[0.035121545,0.0019553117,0.4165135,0.002026524,0.0013588193,0.0033402364,0.3548892,0.010584398,0.17421044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993309,0.0001508012,0.00011613152,0.00011506252,0.00025133547,0.000035823585],"domain_scores_gemma":[0.98341227,0.011266513,0.00084526005,0.0012369283,0.0029749621,0.00026409695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015518337,0.0007582374,0.0006805453,0.002712575,0.00026964722,0.0010207094,0.0012393042,0.0012900339,0.67497617],"category_scores_gemma":[0.027737604,0.0007720274,0.0005823386,0.002524829,0.00015235344,0.0013106676,0.0009993236,0.00074279704,0.29002115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008593067,0.00013798999,0.0017250592,0.0006817525,0.000027868273,0.00016087541,0.000038485734,0.0014940532,0.0014245659,0.007589939,0.80497164,0.18166183],"study_design_scores_gemma":[0.00026013752,0.00013590015,0.009885188,0.00059133733,0.000035956935,0.0010540807,0.000070574904,0.013680677,0.004081356,0.03785268,0.9322573,0.00009477412],"about_ca_topic_score_codex":0.0018425524,"about_ca_topic_score_gemma":0.0025729844,"teacher_disagreement_score":0.67497617,"about_ca_system_score_codex":0.000326945,"about_ca_system_score_gemma":0.00070700294,"threshold_uncertainty_score":0.463607},"labels":[],"label_agreement":null},{"id":"W4367677398","doi":"10.1111/1911-3846.12870","title":"Technological peer pressure and skill specificity of job postings","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chartered Professional Accountants of Canada; Boston College","keywords":"Competition (biology); Technological change; Business; Product market; Industrial organization; Product (mathematics); Peer pressure; Dimension (graph theory); Human capital; Labour economics; Marketing; Economics; Market economy; Psychology","score_opus":0.13377322494067126,"score_gpt":0.32085027224858265,"score_spread":0.1870770473079114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367677398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949378,0.00006941572,0.0003799533,0.00011900033,0.0000060724,0.00000977861,0.000048316833,0.0000076849865,0.004421989],"genre_scores_gemma":[0.99952185,0.000016196313,0.00005943464,0.000010623492,0.000017081447,0.0000026769383,0.000023491246,0.000001396134,0.0003473732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971718,0.0009483195,0.00027964395,0.0002963524,0.00091893325,0.00038512482],"domain_scores_gemma":[0.8605681,0.06372604,0.0607011,0.0056043854,0.004078823,0.005321582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024071136,0.0001366075,0.00023734996,0.0011650743,0.00055374764,0.0014427273,0.00038740446,0.0006198058,0.0050537796],"category_scores_gemma":[0.050130047,0.00011364565,0.00012178285,0.0007130743,0.00087513577,0.0010343977,0.0013331173,0.00063704705,0.00048605315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002997413,0.0005655148,0.9453556,0.00008723952,0.0000685614,0.00036421907,0.003906418,0.0011146353,0.0060988558,0.0030591027,0.0006518969,0.0384282],"study_design_scores_gemma":[0.000011519184,0.00027152878,0.9905895,0.00002828162,0.0000148913605,0.00037324583,0.0017737361,0.0016380638,0.0016032144,0.0024636518,0.0012129033,0.000019514491],"about_ca_topic_score_codex":0.00081615924,"about_ca_topic_score_gemma":0.00096103706,"teacher_disagreement_score":0.0050537796,"about_ca_system_score_codex":0.00033239694,"about_ca_system_score_gemma":0.000367534,"threshold_uncertainty_score":0.01690662},"labels":[],"label_agreement":null},{"id":"W4372054072","doi":"10.2139/ssrn.4426663","title":"Policy Distortions and Aggregate Productivity: The Role of Idiosyncratic Shocks","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Aggregate (composite); Productivity; Monetary economics; Macroeconomics; Natural resource economics","score_opus":0.010857603641536035,"score_gpt":0.21448924215426274,"score_spread":0.2036316385127267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372054072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691713,0.0014834428,0.0072232825,0.007538363,0.000081545324,0.000020970432,0.0007264847,0.00010275856,0.013651794],"genre_scores_gemma":[0.9980116,0.0005560401,0.00016186597,0.000080713966,0.000038997205,0.0000030842546,0.000073986186,0.000010639557,0.0010631148],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999116,0.00032251698,0.00007611317,0.00013244113,0.00010433672,0.0002486274],"domain_scores_gemma":[0.9814533,0.010904271,0.005117059,0.0010932129,0.00070652424,0.00072567584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027184295,0.00036545587,0.0007286505,0.00088038604,0.00042206162,0.0063083987,0.0004075974,0.0020436689,0.005672836],"category_scores_gemma":[0.018554708,0.0003742285,0.0005751284,0.0020243158,0.0013957993,0.00221244,0.0016211779,0.002186188,0.0005634994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014322434,0.00046023258,0.40053508,0.0002966063,0.00092298223,0.0011986499,0.0016915058,0.26179713,0.0033953246,0.27061182,0.007526871,0.050131522],"study_design_scores_gemma":[0.0001960466,0.00035271264,0.4288814,0.00015661682,0.00060420274,0.00041260675,0.004618756,0.1858825,0.0030693298,0.36601192,0.009627092,0.00018684522],"about_ca_topic_score_codex":0.006570739,"about_ca_topic_score_gemma":0.005322033,"teacher_disagreement_score":0.006570739,"about_ca_system_score_codex":0.0017355748,"about_ca_system_score_gemma":0.0010564356,"threshold_uncertainty_score":0.018977523},"labels":[],"label_agreement":null},{"id":"W4375833894","doi":"10.5937/ekonhor2301003a","title":"Employment effects of technological innovation: Evidence from Nigeria's economic sectors","year":2023,"lang":"en","type":"article","venue":"Ekonomski horizonti","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Unemployment; Economics; Distributed lag; Operationalization; Order (exchange); Technological change; Tertiary sector of the economy; Economic sector; Agriculture; Quarter (Canadian coin); Labour economics; Economic growth; Macroeconomics; Economy; Geography; Engineering","score_opus":0.03879496167307347,"score_gpt":0.24465800823380357,"score_spread":0.2058630465607301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375833894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99367225,0.0019348918,0.00010576524,0.00033310946,0.000010399268,0.000005350481,0.00022236882,0.000001439737,0.0037143829],"genre_scores_gemma":[0.997863,0.0015725917,0.00003821569,0.000023259945,0.000010482989,0.000002661782,0.00013077627,6.3057206e-7,0.00035846778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996389,0.00010458116,0.000036218673,0.00004947183,0.00006415528,0.000106702435],"domain_scores_gemma":[0.99591994,0.00217252,0.0012024955,0.00012594974,0.00037870434,0.00020023918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009526432,0.0001394482,0.00024569628,0.0011314572,0.00057620683,0.0009675246,0.00020447007,0.00040469266,0.0015478624],"category_scores_gemma":[0.0030082618,0.00011994395,0.00025952642,0.0019084865,0.00060381496,0.0006450643,0.0009305896,0.00046336377,0.0002438598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035879135,0.00021039258,0.95420694,0.00032637868,0.000080887694,0.0008186026,0.0022593096,0.0016029134,0.0005637135,0.003250015,0.00071118714,0.03561087],"study_design_scores_gemma":[0.000010131245,0.00009887061,0.9891411,0.00019938119,0.00005684873,0.000122025114,0.0048614307,0.00093708944,0.00041452292,0.0006366595,0.00351364,0.000008373329],"about_ca_topic_score_codex":0.01253349,"about_ca_topic_score_gemma":0.020359354,"teacher_disagreement_score":0.01253349,"about_ca_system_score_codex":0.0005527897,"about_ca_system_score_gemma":0.0007825278,"threshold_uncertainty_score":0.02492106},"labels":[],"label_agreement":null},{"id":"W4376628027","doi":"10.4337/9781847201645.00028","title":"Subject Index","year":2006,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Index (typography); Computer science; Library science; World Wide Web","score_opus":0.029991510974002062,"score_gpt":0.19752668348183944,"score_spread":0.16753517250783737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376628027","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052921084,0.0011749832,0.0014335059,0.0025945692,0.004113076,0.0005568715,0.4283765,0.002373659,0.55884755],"genre_scores_gemma":[0.002080559,0.0018127776,0.002380213,0.0012896757,0.0011072666,0.0010283809,0.3291075,0.0016766059,0.659517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764,0.00028805347,0.00034228605,0.00047224865,0.0009848976,0.00027254366],"domain_scores_gemma":[0.9896945,0.0017162411,0.00044785638,0.0014815932,0.0054107103,0.0012491291],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015996348,0.0014496186,0.0016227168,0.010662768,0.001721773,0.007698739,0.0025161433,0.0016955659,0.8121931],"category_scores_gemma":[0.012457024,0.0005959873,0.00079711236,0.017808316,0.0004772709,0.0056400206,0.0031662723,0.0019084441,0.75967723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019467961,0.000015435771,0.00024549646,0.00021200006,0.0000025441216,0.00001066972,0.000027397102,0.000027311746,0.00004083609,0.0017242798,0.9603638,0.037310854],"study_design_scores_gemma":[0.000006732696,0.000005717901,0.00085496326,0.00013622,0.0000018593231,0.00001148026,0.00006361122,0.000026689322,0.00003587504,0.00065349136,0.99819845,0.0000048441425],"about_ca_topic_score_codex":0.013433808,"about_ca_topic_score_gemma":0.011356328,"teacher_disagreement_score":0.1878069,"about_ca_system_score_codex":0.0028299638,"about_ca_system_score_gemma":0.004754733,"threshold_uncertainty_score":0.26788378},"labels":[],"label_agreement":null},{"id":"W4378445400","doi":"10.1515/9780773585881-006","title":"A Global Village? Canadian and International Internet Firms in the US Market","year":2011,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; The Internet; Economic geography; Commerce; Geography; World Wide Web; Computer science","score_opus":0.02326450892194649,"score_gpt":0.18434129318274947,"score_spread":0.161076784260803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378445400","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15924315,0.023211963,0.00043266016,0.071165524,0.0004168289,0.00003090022,0.0009894839,0.000069345915,0.7444402],"genre_scores_gemma":[0.9082461,0.008360331,0.00021675648,0.0025798443,0.00014113601,0.000008488835,0.00022169195,0.00003854347,0.08018707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99877447,0.000092536306,0.000011798525,0.00009359505,0.00026485097,0.0007628104],"domain_scores_gemma":[0.99810565,0.00023549875,0.00011119868,0.000057828744,0.000546119,0.00094359234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008401313,0.00031020155,0.00040515317,0.002750307,0.011827367,0.012076849,0.0007410125,0.0018674219,0.01663854],"category_scores_gemma":[0.003036924,0.0002274672,0.00027436705,0.007481441,0.0063424367,0.005908632,0.0017198544,0.0021509726,0.0007179309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019483788,0.000072184135,0.02144814,0.00009294438,0.0000211696,0.00075562135,0.02594281,0.00059444504,0.00021949648,0.67131895,0.19697796,0.0823615],"study_design_scores_gemma":[0.000044779626,0.000035541292,0.095768094,0.0003745496,0.00004971551,0.0003736976,0.10314737,0.001009929,0.00029854706,0.039606888,0.75918174,0.00010918961],"about_ca_topic_score_codex":0.9832843,"about_ca_topic_score_gemma":0.9923499,"teacher_disagreement_score":0.054020375,"about_ca_system_score_codex":0.054020375,"about_ca_system_score_gemma":0.051794965,"threshold_uncertainty_score":0.3919471},"labels":[],"label_agreement":null},{"id":"W4379746263","doi":"10.46661/revmetodoscuanteconempresa.2187","title":"Predicción de quiebras empresariales en economías emergentes: uso de un modelo logístico mixto","year":2016,"lang":"es","type":"article","venue":"Revista de Métodos Cuantitativos para la Economía y la Empresa","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.0318973187785305,"score_gpt":0.28288695629995686,"score_spread":0.25098963752142633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379746263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89310694,0.0012748399,0.09649515,0.0014382657,0.00006516889,0.00014998375,0.0009793305,0.00018790159,0.0063024024],"genre_scores_gemma":[0.9847996,0.00073002145,0.011520414,0.0000586422,0.00004333863,0.00009890225,0.00040978464,0.000033618493,0.0023056546],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987484,0.00056630065,0.000076616125,0.00026723964,0.00018372523,0.00015761501],"domain_scores_gemma":[0.9845957,0.011248162,0.002210504,0.00080751645,0.0006985264,0.00043966196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048436443,0.0009897094,0.0012890575,0.0019392755,0.00047577426,0.0041489536,0.0010896334,0.0013458809,0.004933126],"category_scores_gemma":[0.019045388,0.0005426606,0.0016567191,0.0018942488,0.001001385,0.0032666062,0.0018750733,0.0015136373,0.000612674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047026976,0.00028968585,0.5851082,0.0002750689,0.0007775467,0.0003629554,0.0009188873,0.32260698,0.00076478557,0.02962089,0.0017287898,0.057075944],"study_design_scores_gemma":[0.000060367864,0.0002600641,0.10976489,0.000117776646,0.00025345964,0.00018787477,0.0007605,0.8358676,0.0005991644,0.048236217,0.003830113,0.000061996485],"about_ca_topic_score_codex":0.011775846,"about_ca_topic_score_gemma":0.00789907,"teacher_disagreement_score":0.011775846,"about_ca_system_score_codex":0.0016615664,"about_ca_system_score_gemma":0.0014576544,"threshold_uncertainty_score":0.02561593},"labels":[],"label_agreement":null},{"id":"W4379911573","doi":"10.1002/cjas.1729","title":"The firm is dead; long live the firm: Classifying firm survival after mergers and acquisitions","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Typology; Mergers and acquisitions; Business; Industrial organization; Process (computing); Marketing; Finance; Computer science","score_opus":0.1362449472020408,"score_gpt":0.3052238245195096,"score_spread":0.16897887731746877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379911573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983785,0.000054150383,0.00022608519,0.00010557675,0.000003356179,0.000008669988,0.000147728,0.0000034128955,0.0010724918],"genre_scores_gemma":[0.9995215,0.000022974215,0.00010426685,0.000009003253,0.000004774988,0.0000064805895,0.00019688885,9.2107e-7,0.00013332436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990398,0.00028920718,0.00013907843,0.0000980137,0.00020408414,0.00022975006],"domain_scores_gemma":[0.96268225,0.010078081,0.018137911,0.0010306641,0.003986815,0.0040842993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026497042,0.00015542116,0.00019407134,0.0039037366,0.0009039587,0.0017039176,0.0007245868,0.0006273169,0.0020401399],"category_scores_gemma":[0.015726028,0.00006518655,0.00022193485,0.0027476966,0.0011259607,0.0013775803,0.0017189796,0.0005757158,0.0002943217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054196153,0.00003614748,0.9930692,0.0000074261716,0.000010821062,0.000070490496,0.0007089902,0.00028666484,0.00009274941,0.0004899842,0.00017736592,0.004996051],"study_design_scores_gemma":[0.0000030378321,0.00013094307,0.9909587,0.000019051204,0.00000908775,0.000111551366,0.0055143945,0.0016102564,0.00022055516,0.0009133788,0.0004984509,0.000010686888],"about_ca_topic_score_codex":0.0060123373,"about_ca_topic_score_gemma":0.007431805,"teacher_disagreement_score":0.0060123373,"about_ca_system_score_codex":0.0008311163,"about_ca_system_score_gemma":0.0006989997,"threshold_uncertainty_score":0.014013171},"labels":[],"label_agreement":null},{"id":"W4380244266","doi":"10.2139/ssrn.4475935","title":"The Empirical Distribution of Firm Dynamics and its Macro Implications","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Macro; Distribution (mathematics); Dynamics (music); Economics; Econometrics; Mathematics; Psychology; Computer science","score_opus":0.04259720886206223,"score_gpt":0.2721036773737689,"score_spread":0.22950646851170667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380244266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784147,0.0010987315,0.009168426,0.0030768365,0.000031282503,0.000027600212,0.0010787104,0.000101310194,0.0070023537],"genre_scores_gemma":[0.9985587,0.00022793213,0.000259912,0.000055732766,0.00005913922,0.0000071422132,0.0002376436,0.00001874315,0.00057505723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979964,0.0009169747,0.00011497979,0.0005513475,0.0002157356,0.00020460687],"domain_scores_gemma":[0.8564163,0.12170073,0.008689157,0.0072015063,0.0035616246,0.002430716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005400957,0.00021988607,0.0007218104,0.0028014279,0.0006419503,0.0027612743,0.0011869655,0.0011018331,0.016002644],"category_scores_gemma":[0.069501564,0.00036634796,0.0006223732,0.0030986317,0.0033657553,0.0039614085,0.0019909125,0.0022321672,0.0015076187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008308626,0.0003309343,0.8224969,0.00019719609,0.00035544738,0.0007587709,0.0021664242,0.013780733,0.002894203,0.1014379,0.0047865403,0.049964134],"study_design_scores_gemma":[0.00009196736,0.00017932733,0.7933068,0.00012766736,0.0001567669,0.0011750254,0.003557275,0.0727755,0.0010195788,0.123848096,0.0036907601,0.000071330185],"about_ca_topic_score_codex":0.0028328556,"about_ca_topic_score_gemma":0.0017843355,"teacher_disagreement_score":0.016002644,"about_ca_system_score_codex":0.0008106086,"about_ca_system_score_gemma":0.00035570675,"threshold_uncertainty_score":0.05353421},"labels":[],"label_agreement":null},{"id":"W4380367159","doi":"10.3386/w31337","title":"The Empirical Distribution of Firm Dynamics and Its Macro Implications","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; HEC Montréal; Fondation HEC","keywords":"Macro; Dynamics (music); Distribution (mathematics); Econometrics; Mathematics; Economics; Computer science; Sociology; Mathematical analysis","score_opus":0.6445966233765882,"score_gpt":0.5363036456261723,"score_spread":0.10829297775041591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380367159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.882464,0.0024321927,0.08005871,0.008558278,0.00006798023,0.000103021026,0.0077861277,0.00027456926,0.018255074],"genre_scores_gemma":[0.9945734,0.0008317871,0.0014559792,0.00016542274,0.000050901363,0.000028061413,0.0017357589,0.000021157699,0.0011375918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988745,0.0004462284,0.000056886573,0.0003762339,0.00015083545,0.00009519706],"domain_scores_gemma":[0.9666763,0.023840677,0.004761735,0.0030731775,0.0011114163,0.00053665496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033741933,0.00018316002,0.0005270158,0.0011855045,0.0004013626,0.0020394807,0.0006739146,0.0008351531,0.0058796634],"category_scores_gemma":[0.044086464,0.00032499895,0.0003913534,0.0022370971,0.0014743416,0.0028780897,0.0010044436,0.0016786148,0.0007943174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020801605,0.00021920896,0.56113833,0.00026034986,0.00026102355,0.00049429893,0.00075335766,0.0988598,0.0016563163,0.2600149,0.014939707,0.06119468],"study_design_scores_gemma":[0.000053958338,0.00008748085,0.37980118,0.00015421073,0.00007639513,0.0004977642,0.0011144197,0.27159396,0.000988897,0.33489978,0.010651921,0.000080051024],"about_ca_topic_score_codex":0.0057915943,"about_ca_topic_score_gemma":0.005078647,"teacher_disagreement_score":0.0058796634,"about_ca_system_score_codex":0.0010835846,"about_ca_system_score_gemma":0.00039535103,"threshold_uncertainty_score":0.019669473},"labels":[],"label_agreement":null},{"id":"W4380368482","doi":"10.54932/pamp8753","title":"Confiance et activité économique : analyse d’impact sur l’économie canadienne","year":2023,"lang":"fr","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.1719556256788541,"score_gpt":0.2927275742920624,"score_spread":0.12077194861320831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380368482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89668757,0.008914331,0.013578187,0.0038769676,0.00009542575,0.000093626746,0.0034742244,0.00019661602,0.07308309],"genre_scores_gemma":[0.98307264,0.0024839353,0.0017238287,0.00012058187,0.00003279611,0.000039930506,0.0010727505,0.000037734193,0.011415815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984091,0.00052589824,0.000042115495,0.00015625152,0.00056004414,0.0003066951],"domain_scores_gemma":[0.9950256,0.0032738002,0.00059513364,0.0001830734,0.0006914701,0.00023103306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019322331,0.0005011977,0.0005839468,0.0025714978,0.00039908127,0.0026595956,0.00046615367,0.00072532985,0.007715277],"category_scores_gemma":[0.0067864694,0.0003130841,0.0012018873,0.005012676,0.00070872315,0.0007775753,0.0011297544,0.0014509148,0.00076990237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007014521,0.00034480134,0.522263,0.00073487574,0.0017070053,0.0009272038,0.0022512947,0.23033378,0.0026040291,0.077808656,0.0075764772,0.15274745],"study_design_scores_gemma":[0.00005468618,0.00036462877,0.80169517,0.00029106374,0.00066120445,0.00017307713,0.0036059923,0.117909946,0.0032596863,0.016676595,0.055195533,0.000112443246],"about_ca_topic_score_codex":0.28256142,"about_ca_topic_score_gemma":0.21127738,"teacher_disagreement_score":0.7174386,"about_ca_system_score_codex":0.0047288383,"about_ca_system_score_gemma":0.004613637,"threshold_uncertainty_score":0.5618335},"labels":[],"label_agreement":null},{"id":"W4380576135","doi":"","title":"AN ANALYSIS ON CHINA’S ECONOMICAL GROWTH PERSPECTIVES","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Archaeology","score_opus":0.2027591331612613,"score_gpt":0.4907150117831164,"score_spread":0.2879558786218551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380576135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7074502,0.0062307674,0.0093075605,0.004273737,0.00021281112,0.00006347071,0.0017697312,0.000067635396,0.27062413],"genre_scores_gemma":[0.98282087,0.0052861604,0.0017664583,0.000108863365,0.00017301562,0.00002755068,0.0006365463,0.000015983325,0.009164553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996804,0.00006690676,0.000019689374,0.000042973657,0.00013079324,0.00005918669],"domain_scores_gemma":[0.9992582,0.00019044067,0.000120473305,0.000044999386,0.00032199614,0.00006389667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078894675,0.00034493918,0.00013943212,0.004398745,0.00061643875,0.0018385717,0.00021316948,0.00015349066,0.0036064256],"category_scores_gemma":[0.0010769335,0.0000817931,0.00031845647,0.005056816,0.00073372596,0.0016824419,0.00086760183,0.00047080423,0.0002581004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015744391,0.00005962798,0.15659368,0.00076566794,0.00008894648,0.0019341835,0.019289492,0.009877251,0.0037693842,0.5774159,0.01171224,0.2183362],"study_design_scores_gemma":[0.000010382586,0.0002014012,0.54322433,0.0004742469,0.00009246355,0.00079767924,0.02635934,0.01722509,0.004064354,0.05844869,0.3490174,0.00008457465],"about_ca_topic_score_codex":0.012628564,"about_ca_topic_score_gemma":0.010352068,"teacher_disagreement_score":0.012628564,"about_ca_system_score_codex":0.0027278024,"about_ca_system_score_gemma":0.0013985604,"threshold_uncertainty_score":0.025110126},"labels":[],"label_agreement":null},{"id":"W4381199626","doi":"10.2139/ssrn.4483651","title":"Intuit Quickbooks Small Business Index: A New Employment Series for the Us, Canada, and the UK","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Small business; Series (stratigraphy); Business; Regional science; Marketing; Geography; Computer science; World Wide Web","score_opus":0.01817992863364084,"score_gpt":0.19464834917010465,"score_spread":0.1764684205364638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381199626","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009376403,0.006528459,0.0012933582,0.0032092123,0.002490055,0.00018936691,0.87499905,0.0030814563,0.09883272],"genre_scores_gemma":[0.032065626,0.010299191,0.0030854607,0.0005447461,0.00090383034,0.00015999675,0.50719666,0.0019875197,0.4437569],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99852246,0.000035504196,0.00010664936,0.000089666544,0.0010534107,0.00019226619],"domain_scores_gemma":[0.9883463,0.00052869995,0.0006485482,0.00027258677,0.009117502,0.0010863573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000908539,0.0013069273,0.00084966735,0.015058449,0.00088767556,0.002953548,0.00096834626,0.00066167914,0.08594494],"category_scores_gemma":[0.008828583,0.00046756287,0.00037610347,0.021806244,0.0004120411,0.0023871514,0.001145438,0.0014109671,0.066009596],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005760605,0.0000119847555,0.0031183201,0.0001110284,0.0000053760914,0.000011343671,0.000042064174,0.00010384675,0.000113137285,0.00074798585,0.9576361,0.03804111],"study_design_scores_gemma":[0.000024867612,0.000025497638,0.052946568,0.0001364372,0.000016065216,0.000043767766,0.00016384083,0.00043819493,0.0004285688,0.00040909048,0.9453344,0.00003266975],"about_ca_topic_score_codex":0.7149572,"about_ca_topic_score_gemma":0.78135073,"teacher_disagreement_score":0.28504282,"about_ca_system_score_codex":0.008430889,"about_ca_system_score_gemma":0.019656831,"threshold_uncertainty_score":0.57344294},"labels":[],"label_agreement":null},{"id":"W4382726387","doi":"10.30958/ajbe.9-3-2","title":"Evaluation of Productivity in the Canadian Copyright-based Industries","year":2023,"lang":"en","type":"article","venue":"Athens Journal of Business & Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Foreign direct investment; Investment (military); Core (optical fiber); Economics; Rest (music); Value (mathematics); Business; Economy; International trade; Macroeconomics; Telecommunications; Engineering","score_opus":0.12582353396705281,"score_gpt":0.25886792919430696,"score_spread":0.13304439522725414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382726387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96602607,0.000544202,0.0006846978,0.00022697594,0.000012498507,0.000040361378,0.0046393196,0.00005645628,0.027769392],"genre_scores_gemma":[0.99063605,0.00053572987,0.00051978324,0.000015325477,0.000004774514,0.0000102703425,0.0027294017,0.0000074373115,0.00554131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989526,0.000052915108,0.00002874054,0.00008361506,0.0006305529,0.0002515201],"domain_scores_gemma":[0.99736375,0.00021215431,0.0002100421,0.00006586069,0.0019277147,0.00022040958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094752555,0.00044547208,0.00026265168,0.006220944,0.001184778,0.0017621096,0.00063053577,0.00022636875,0.0025770452],"category_scores_gemma":[0.004258639,0.000099086756,0.00062481407,0.007894591,0.0005399959,0.0004592352,0.0007505217,0.00033428657,0.00042526633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019562816,0.00011786589,0.8818343,0.00018322407,0.00011522001,0.00040074252,0.0024172121,0.00782782,0.0027040346,0.005222443,0.0046417974,0.09433961],"study_design_scores_gemma":[0.0000034466802,0.000037648395,0.9856814,0.000022805914,0.000025800033,0.000044347067,0.0022248107,0.0051632975,0.0013677248,0.0001621624,0.00524808,0.000018447476],"about_ca_topic_score_codex":0.97182626,"about_ca_topic_score_gemma":0.970289,"teacher_disagreement_score":0.9748204,"about_ca_system_score_codex":0.025179626,"about_ca_system_score_gemma":0.015591256,"threshold_uncertainty_score":0.18269181},"labels":[],"label_agreement":null},{"id":"W4383225244","doi":"10.1111/joie.12327","title":"A Structural Empirical Model of R&amp;D, Firm Heterogeneity, and Industry Evolution*","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subsidy; Economics; Investment (military); Productivity; Scrap; Microeconomics; Distribution (mathematics); General equilibrium theory; Value (mathematics); Industrial organization; Macroeconomics; Market economy; Engineering","score_opus":0.22376520038717532,"score_gpt":0.30301126036867815,"score_spread":0.07924605998150283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383225244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57193047,0.0010745301,0.38801494,0.003601103,0.000051784835,0.00024069927,0.004491053,0.00047286786,0.03012261],"genre_scores_gemma":[0.97304654,0.00068422715,0.012631179,0.00009294459,0.000039567916,0.00013203942,0.0014499613,0.000031154636,0.011892449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993445,0.00018778171,0.000032110536,0.00021092338,0.00008198992,0.00014266238],"domain_scores_gemma":[0.9966265,0.0017246512,0.0010618541,0.00023117008,0.00023746713,0.00011833142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016470624,0.00063360867,0.0009914478,0.0017587553,0.0006828646,0.0019479061,0.0019082787,0.0016348353,0.008003767],"category_scores_gemma":[0.005444914,0.0008493764,0.0011470076,0.0021920768,0.0010253062,0.0037190523,0.00093367405,0.00157575,0.0014251786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008826651,0.00018452476,0.02286192,0.00011399378,0.00013747679,0.0003996564,0.0002712106,0.69008857,0.0010763076,0.267582,0.001754524,0.015441569],"study_design_scores_gemma":[0.000101582096,0.00009770835,0.009606527,0.000030187399,0.00010740356,0.00019675553,0.00014225513,0.89784425,0.00039699872,0.08654852,0.0048833424,0.00004456514],"about_ca_topic_score_codex":0.022181012,"about_ca_topic_score_gemma":0.020252291,"teacher_disagreement_score":0.022181012,"about_ca_system_score_codex":0.002747681,"about_ca_system_score_gemma":0.0018587188,"threshold_uncertainty_score":0.0441038},"labels":[],"label_agreement":null},{"id":"W4383455561","doi":"10.1515/9780773572379-006","title":"Innovation, Services, and the Transformation of the Canadian Industrial Structure","year":2004,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Business; Economic geography; Geography; Chemistry","score_opus":0.020683872247226873,"score_gpt":0.16869181379627263,"score_spread":0.14800794154904576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383455561","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074484535,0.041193772,0.002140092,0.08616667,0.0006896193,0.0000998438,0.0019249985,0.00013305341,0.7931675],"genre_scores_gemma":[0.75778204,0.029941587,0.0029748231,0.0034619416,0.00019665847,0.00003461869,0.00074795843,0.000078011006,0.2047823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980444,0.00013161625,0.000030027082,0.00011448069,0.00079796946,0.00088158227],"domain_scores_gemma":[0.99878126,0.00013525458,0.00006761107,0.00004446416,0.00054420315,0.0004272088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009909671,0.00041138567,0.00033421582,0.0034467836,0.008140918,0.006678446,0.0010139878,0.001547525,0.011131395],"category_scores_gemma":[0.0036399497,0.0003005175,0.00040063687,0.0077505517,0.008207477,0.00170314,0.0014121715,0.0023187194,0.0005845705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054218097,0.000017019254,0.00465289,0.000108725355,0.0000117387435,0.00014740453,0.005433946,0.0019528561,0.00022725796,0.85019714,0.05538154,0.08181527],"study_design_scores_gemma":[0.000025666715,0.000023044828,0.052945033,0.00031100534,0.000021219364,0.00010077208,0.00754834,0.0015091123,0.00023606545,0.08202878,0.8551862,0.00006474568],"about_ca_topic_score_codex":0.9974057,"about_ca_topic_score_gemma":0.99892694,"teacher_disagreement_score":0.17738737,"about_ca_system_score_codex":0.17738737,"about_ca_system_score_gemma":0.213543,"threshold_uncertainty_score":0.9541141},"labels":[],"label_agreement":null},{"id":"W4385228233","doi":"10.5281/zenodo.8183336","title":"Beyond 1 Million Genomes (B1MG) D5.3 Economic models methodology and case studies","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme","keywords":"Geography; Genome; Evolutionary biology; Biology; Genetics","score_opus":0.3909899382082907,"score_gpt":0.35065129023113994,"score_spread":0.040338647977150754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385228233","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010143273,0.0034655847,0.6042976,0.021141429,0.00079824,0.0015970015,0.025357693,0.004681514,0.32851765],"genre_scores_gemma":[0.10981551,0.0041566445,0.79060876,0.0027673566,0.00025254107,0.0051632365,0.028423352,0.0026186104,0.056193944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99426985,0.004061478,0.0002454349,0.00038204464,0.00080139015,0.00023981617],"domain_scores_gemma":[0.98844415,0.009274377,0.00031051334,0.00094806723,0.0007766021,0.00024632242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011125565,0.0008907312,0.00077197194,0.0020425802,0.0011803956,0.0057578194,0.0024999555,0.0027789567,0.043022897],"category_scores_gemma":[0.020803908,0.0007336969,0.0023712656,0.0031825139,0.00090693205,0.0030378397,0.00453164,0.002964135,0.007570095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013096425,0.0001393177,0.0015485769,0.001556041,0.00012855812,0.00054566906,0.0015344896,0.053176217,0.00082302745,0.7080818,0.118708804,0.11362658],"study_design_scores_gemma":[0.000069120455,0.000078716264,0.0011545432,0.0012616008,0.000059973336,0.00025046724,0.00057564303,0.039963588,0.0008216101,0.31724516,0.6384386,0.00008093834],"about_ca_topic_score_codex":0.01967435,"about_ca_topic_score_gemma":0.010928656,"teacher_disagreement_score":0.043022897,"about_ca_system_score_codex":0.0041013467,"about_ca_system_score_gemma":0.0049183993,"threshold_uncertainty_score":0.14392596},"labels":[],"label_agreement":null},{"id":"W4385992096","doi":"10.2139/ssrn.4545044","title":"The Effect of Local Labor Competition on Mergers and Acquisitions","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Mergers and acquisitions; Competition (biology); Business; Industrial organization; Finance","score_opus":0.011820767794943017,"score_gpt":0.22829164266202526,"score_spread":0.21647087486708225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385992096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929149,0.000529657,0.00019537158,0.00049240835,0.0000070905853,0.0000060353805,0.0002090641,0.000012224356,0.005633263],"genre_scores_gemma":[0.9982368,0.000119015436,0.000022115766,0.000026156617,0.000012821322,0.000001736682,0.000068079535,0.0000028617294,0.001510378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881727,0.00054067787,0.000040489278,0.00011588624,0.000100641286,0.0003850436],"domain_scores_gemma":[0.9552738,0.03218427,0.0058193128,0.0006509435,0.0012456498,0.00482588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001982115,0.00016979646,0.0005962143,0.0008211523,0.0006140244,0.0021932214,0.0004545756,0.00085336436,0.018985229],"category_scores_gemma":[0.0126002105,0.0001633156,0.00045328637,0.0011569043,0.0012816337,0.0011157925,0.0009586101,0.00086509355,0.0010823486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064992416,0.0015084732,0.8965987,0.0003458293,0.0005109987,0.0016680851,0.0014065204,0.022658955,0.0058067515,0.017024409,0.0039365874,0.042035516],"study_design_scores_gemma":[0.00017841162,0.0011632313,0.97374254,0.00006413373,0.00040153603,0.0002747351,0.0032795225,0.008904878,0.0022738415,0.0078117326,0.0018621543,0.000043371554],"about_ca_topic_score_codex":0.013348321,"about_ca_topic_score_gemma":0.025947321,"teacher_disagreement_score":0.018985229,"about_ca_system_score_codex":0.0013719107,"about_ca_system_score_gemma":0.0011771095,"threshold_uncertainty_score":0.06351197},"labels":[],"label_agreement":null},{"id":"W4386014967","doi":"10.2139/ssrn.4544524","title":"Wage Setting and Passthrough: The Role of Market Power, Production Technology and Adjustment Costs","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Production (economics); Market power; Wage; Labour economics; Business; Economics; Power (physics); Macroeconomics; Market economy","score_opus":0.0058219592348880715,"score_gpt":0.19760897724699703,"score_spread":0.19178701801210896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386014967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95668465,0.0016629726,0.01588646,0.001888176,0.000060098886,0.00004460654,0.00024315946,0.00007478079,0.023455141],"genre_scores_gemma":[0.99367875,0.0003960721,0.000619497,0.00003563966,0.000043737058,0.000007910718,0.00005219297,0.00002367816,0.0051426175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917716,0.0002915436,0.000058429177,0.00014910683,0.00009152608,0.00023224649],"domain_scores_gemma":[0.9833053,0.011881155,0.0029985881,0.00062160695,0.000295323,0.0008980789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023190482,0.0005722272,0.0012151297,0.0008262954,0.00064283714,0.0070578284,0.00090457423,0.0017350527,0.021060053],"category_scores_gemma":[0.021154102,0.00056091417,0.00067914836,0.0013335331,0.0020784074,0.004439254,0.0013084231,0.0019818367,0.00095430017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038921009,0.0014857862,0.18565235,0.00047267452,0.000506805,0.0032011946,0.004305015,0.10589904,0.008811743,0.5416965,0.004263567,0.13981314],"study_design_scores_gemma":[0.00043575783,0.0005252986,0.26668724,0.00015377409,0.00030723948,0.000663592,0.0023782928,0.08268942,0.002645349,0.637135,0.006200844,0.00017817058],"about_ca_topic_score_codex":0.007136441,"about_ca_topic_score_gemma":0.004572243,"teacher_disagreement_score":0.021060053,"about_ca_system_score_codex":0.0013517032,"about_ca_system_score_gemma":0.0012198357,"threshold_uncertainty_score":0.07045287},"labels":[],"label_agreement":null},{"id":"W4386093933","doi":"10.1142/9789813233027_0014","title":"Patent protection and the composition of multinational activity: Evidence from US multinational firms","year":2023,"lang":"en","type":"book-chapter","venue":"World Scientific Studies in International Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Multinational corporation; Business; Composition (language); International trade; Art; Literature; Finance","score_opus":0.18573571109418258,"score_gpt":0.286542905139,"score_spread":0.10080719404481742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386093933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97472626,0.007628506,0.00038906065,0.0007995497,0.000011759229,0.0000155941,0.000766306,0.000014175087,0.015648842],"genre_scores_gemma":[0.9932632,0.0036245428,0.00022433532,0.0001431565,0.000030428724,0.000009189558,0.0009228223,0.0000060570364,0.0017762742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992118,0.00023927518,0.00006250367,0.00014012532,0.00024057804,0.00010568855],"domain_scores_gemma":[0.98158604,0.007720119,0.008144162,0.00089533464,0.0009784302,0.0006758235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016349988,0.00014973457,0.00031249304,0.0018199716,0.0006268256,0.0016174851,0.00047587906,0.0005584794,0.0029469908],"category_scores_gemma":[0.0111706555,0.00015596584,0.00029495967,0.0053962227,0.0010402977,0.0015093079,0.0012864311,0.0006159936,0.00047255185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017780051,0.00015853786,0.932663,0.00013563345,0.00015155382,0.00022915371,0.0016440622,0.0009091604,0.00045867273,0.007500352,0.0024125,0.053559463],"study_design_scores_gemma":[0.000020018899,0.00007667525,0.9870165,0.00009494777,0.00006618613,0.0001583158,0.0011422564,0.00060846336,0.0005110989,0.003238185,0.0070518535,0.000015591018],"about_ca_topic_score_codex":0.016116494,"about_ca_topic_score_gemma":0.018433845,"teacher_disagreement_score":0.016116494,"about_ca_system_score_codex":0.0007599645,"about_ca_system_score_gemma":0.0005204994,"threshold_uncertainty_score":0.032045364},"labels":[],"label_agreement":null},{"id":"W4386319452","doi":"10.1016/j.fopow.2023.08.018","title":"BASF’s earnings in tough market environment significantly below strong prior-year quarter","year":2023,"lang":"en","type":"article","venue":"Focus on Powder Coatings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Business; Agricultural economics; Economics; Accounting; Geography","score_opus":0.02165079439379555,"score_gpt":0.20934227850448198,"score_spread":0.18769148411068642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386319452","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628817,0.00043309323,0.000248553,0.00267064,0.00024073632,0.000011212133,0.0025570286,0.00007729772,0.030879742],"genre_scores_gemma":[0.98285013,0.000118951626,0.00008930127,0.00016212849,0.00013834893,0.000003806818,0.0021478443,0.000010268474,0.014479277],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996736,0.000012944207,0.000012017946,0.000032370564,0.00010631709,0.00016279155],"domain_scores_gemma":[0.99779594,0.00026077323,0.0008497148,0.000083754174,0.00048450576,0.0005252969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056989025,0.00016981119,0.00021004165,0.0008520347,0.0006800088,0.0016739842,0.00020488321,0.00053875917,0.007926512],"category_scores_gemma":[0.0023575288,0.000055195076,0.0001554465,0.0004425373,0.0002631214,0.00070919376,0.00049497397,0.0009855791,0.0013233596],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040646642,0.00041447475,0.8513,0.000060102764,0.00007724533,0.00082709466,0.00043249194,0.00132716,0.0030619479,0.009301323,0.077331915,0.055459723],"study_design_scores_gemma":[0.000008319053,0.00012437088,0.97653735,0.000017507444,0.000013350653,0.00020556492,0.0008451567,0.0012507754,0.0011517096,0.0011258508,0.01870381,0.000016182059],"about_ca_topic_score_codex":0.015313586,"about_ca_topic_score_gemma":0.026770756,"teacher_disagreement_score":0.015313586,"about_ca_system_score_codex":0.0006262733,"about_ca_system_score_gemma":0.00053323014,"threshold_uncertainty_score":0.030448914},"labels":[],"label_agreement":null},{"id":"W4386325739","doi":"10.1257/aeri.20220285","title":"Finance, Managerial Inputs, and Misallocation","year":2023,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Revenue; Dispersion (optics); Productivity; Marginal revenue; Finance; Monetary economics; Capital (architecture); Marginal product; Macroeconomics; Production (economics)","score_opus":0.02200954330706266,"score_gpt":0.24007433965867442,"score_spread":0.21806479635161174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386325739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7685309,0.011219117,0.05919408,0.01757746,0.00022311888,0.00033588777,0.0023005526,0.00048421006,0.14013466],"genre_scores_gemma":[0.9765096,0.0021617743,0.0014388968,0.0003535455,0.00015109566,0.00005775131,0.00016527394,0.000016772996,0.019145314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99895287,0.00029010652,0.000069064496,0.00018291817,0.00017471127,0.00033036864],"domain_scores_gemma":[0.9899748,0.0041603185,0.0040913285,0.00059815065,0.00042816505,0.0007471997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022674904,0.0008563134,0.0010970514,0.0018020733,0.0009007067,0.0039042798,0.0009889124,0.0022663267,0.023931],"category_scores_gemma":[0.013263168,0.0006189694,0.0005411967,0.0018283302,0.0027077072,0.003099193,0.0017287708,0.001050583,0.0016561466],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005274704,0.0004568325,0.18439718,0.00047115728,0.0002200692,0.0021740017,0.0010948024,0.15383704,0.0014014032,0.5208487,0.011189719,0.12338167],"study_design_scores_gemma":[0.00024407957,0.00029340765,0.14960724,0.00044571364,0.00013581733,0.0011194873,0.0006837773,0.06954902,0.001207575,0.7479924,0.028591214,0.00013026617],"about_ca_topic_score_codex":0.008279616,"about_ca_topic_score_gemma":0.008961779,"teacher_disagreement_score":0.023931,"about_ca_system_score_codex":0.0041267346,"about_ca_system_score_gemma":0.0016618123,"threshold_uncertainty_score":0.080057144},"labels":[],"label_agreement":null},{"id":"W4386442214","doi":"10.1111/caje.12681","title":"Skill‐replacing process innovation and the labour market: Theory and evidence","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Product innovation; Process (computing); Industrial organization; Business; Product (mathematics); Production (economics); Differential (mechanical device); New product development; Product market; Labour economics; Economics; Marketing; Microeconomics; Incentive; Computer science; Engineering","score_opus":0.11054589645098921,"score_gpt":0.2016306882854773,"score_spread":0.0910847918344881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386442214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90478295,0.027327072,0.013487886,0.010432356,0.00014852757,0.000072353694,0.0009819119,0.000074607466,0.042692438],"genre_scores_gemma":[0.994402,0.0037500928,0.0003635321,0.00024823335,0.00010765889,0.000012190795,0.00016134238,0.0000055485652,0.00094941154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895525,0.0003769314,0.00005301,0.0001741755,0.00020007158,0.00024052431],"domain_scores_gemma":[0.9740045,0.020270936,0.0037652014,0.0006489227,0.00073525205,0.00057517906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030716748,0.0004070701,0.0007607996,0.0021363655,0.0006353296,0.002132153,0.0010008424,0.0017377224,0.010615843],"category_scores_gemma":[0.0110787675,0.000255174,0.0010879019,0.0026061411,0.003016122,0.0025476678,0.0015691073,0.0012989746,0.0008871484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000922677,0.00092226785,0.52429986,0.0014427612,0.00085155875,0.0014311513,0.0015964452,0.08078475,0.0009490361,0.24424416,0.0069640507,0.13559136],"study_design_scores_gemma":[0.00059535465,0.00094895787,0.4712845,0.0014363497,0.0007100289,0.0005311576,0.004515925,0.13991627,0.0017021244,0.35190812,0.02628297,0.0001682343],"about_ca_topic_score_codex":0.01399786,"about_ca_topic_score_gemma":0.008035544,"teacher_disagreement_score":0.01399786,"about_ca_system_score_codex":0.0014367158,"about_ca_system_score_gemma":0.00095905585,"threshold_uncertainty_score":0.03551358},"labels":[],"label_agreement":null},{"id":"W4386699061","doi":"10.32920/24134937.v1","title":"The Impact of Emerging Market Competition on Innovation and Business Strategy: Evidence from Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Innovator; Competition (biology); Product innovation; Industrial organization; Ex-ante; Product market; Product (mathematics); Economics; Emerging markets; Empirical evidence; New product development; Business; Microeconomics; Marketing; Entrepreneurship","score_opus":0.07886756766484979,"score_gpt":0.27486739007709116,"score_spread":0.19599982241224137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912019,0.0009499614,0.00014847238,0.00046208958,0.0000066538355,0.000022187554,0.0032205738,0.0000073368024,0.0039809886],"genre_scores_gemma":[0.995503,0.0007237093,0.0001299121,0.00007076717,0.00000392794,0.0000062591603,0.0022516716,0.000003521372,0.0013073444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991621,0.000073690295,0.000037887396,0.00013091428,0.00029724903,0.00029819962],"domain_scores_gemma":[0.9932011,0.0010575578,0.001450321,0.0002462807,0.0029945755,0.0010503071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261763,0.00038836402,0.00044046057,0.001725924,0.0019147085,0.0014758412,0.0009216496,0.00044049983,0.0019249775],"category_scores_gemma":[0.00428786,0.00018006301,0.000602378,0.0046926583,0.0009303883,0.0005139092,0.0008983244,0.0005703782,0.000191959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015485784,0.0000680057,0.98125297,0.00008696162,0.0001103006,0.00013514698,0.0014982608,0.0011250445,0.00023117848,0.0010678071,0.0026990464,0.011570487],"study_design_scores_gemma":[0.000012559638,0.000023861001,0.99475205,0.000024175099,0.00004965122,0.000018176952,0.0012827989,0.001463153,0.00014094576,0.00009257113,0.0021210983,0.000018900519],"about_ca_topic_score_codex":0.99561715,"about_ca_topic_score_gemma":0.9973399,"teacher_disagreement_score":0.022653395,"about_ca_system_score_codex":0.022653395,"about_ca_system_score_gemma":0.026737673,"threshold_uncertainty_score":0.16436267},"labels":[],"label_agreement":null},{"id":"W4386699139","doi":"10.32920/24134937","title":"The Impact of Emerging Market Competition on Innovation and Business Strategy: Evidence from Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Competition (biology); Innovator; Product innovation; Industrial organization; Ex-ante; Product (mathematics); Product market; Empirical evidence; Emerging markets; Economics; Business; New product development; Microeconomics; Marketing; Entrepreneurship","score_opus":0.07886756766484979,"score_gpt":0.27486739007709116,"score_spread":0.19599982241224137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912019,0.0009499614,0.00014847238,0.00046208958,0.0000066538355,0.000022187554,0.0032205738,0.0000073368024,0.0039809886],"genre_scores_gemma":[0.995503,0.0007237093,0.0001299121,0.00007076717,0.00000392794,0.0000062591603,0.0022516716,0.000003521372,0.0013073444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991621,0.000073690295,0.000037887396,0.00013091428,0.00029724903,0.00029819962],"domain_scores_gemma":[0.9932011,0.0010575578,0.001450321,0.0002462807,0.0029945755,0.0010503071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261763,0.00038836402,0.00044046057,0.001725924,0.0019147085,0.0014758412,0.0009216496,0.00044049983,0.0019249775],"category_scores_gemma":[0.00428786,0.00018006301,0.000602378,0.0046926583,0.0009303883,0.0005139092,0.0008983244,0.0005703782,0.000191959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015485784,0.0000680057,0.98125297,0.00008696162,0.0001103006,0.00013514698,0.0014982608,0.0011250445,0.00023117848,0.0010678071,0.0026990464,0.011570487],"study_design_scores_gemma":[0.000012559638,0.000023861001,0.99475205,0.000024175099,0.00004965122,0.000018176952,0.0012827989,0.001463153,0.00014094576,0.00009257113,0.0021210983,0.000018900519],"about_ca_topic_score_codex":0.99561715,"about_ca_topic_score_gemma":0.9973399,"teacher_disagreement_score":0.022653395,"about_ca_system_score_codex":0.022653395,"about_ca_system_score_gemma":0.026737673,"threshold_uncertainty_score":0.16436267},"labels":[],"label_agreement":null},{"id":"W4386748743","doi":"10.5539/ijms.v15n2p51","title":"Factors Influencing Firm Sales Growth: An Instrumental Variable Analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Instrumental variable; Sales management; Mistake; Diversity (politics); Business; Marketing; Productivity; Variable (mathematics); Variables; Economics; Econometrics; Economic growth; Statistics","score_opus":0.07418015351260464,"score_gpt":0.3000590406750712,"score_spread":0.22587888716246657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386748743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8987286,0.0013862264,0.076391414,0.0032433094,0.00014619557,0.00050546776,0.0039460775,0.0005791341,0.015073529],"genre_scores_gemma":[0.9797712,0.0007836976,0.008804466,0.00019233176,0.00015574654,0.0003464551,0.0025652503,0.00005604801,0.0073248614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964227,0.0023582599,0.00012507499,0.00031237115,0.00038254267,0.00039898467],"domain_scores_gemma":[0.9736622,0.02180521,0.0022812993,0.00089140114,0.0010042685,0.0003556552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006724661,0.001016938,0.0012907112,0.002179295,0.00089550763,0.0026042254,0.0015410454,0.0009293208,0.006715374],"category_scores_gemma":[0.018495284,0.0004762407,0.0018482747,0.0029583601,0.0011629199,0.0009334601,0.0019496889,0.0020792028,0.0010821491],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006040403,0.0010668786,0.68617296,0.00048729687,0.003010947,0.0027377934,0.0018404901,0.15594485,0.0017672555,0.069659844,0.014634592,0.062073093],"study_design_scores_gemma":[0.0002903888,0.0007671896,0.20588611,0.00036137312,0.0013457882,0.00026354459,0.0038853644,0.7275104,0.0025397143,0.037131038,0.019813644,0.00020550498],"about_ca_topic_score_codex":0.013575502,"about_ca_topic_score_gemma":0.008132075,"teacher_disagreement_score":0.013575502,"about_ca_system_score_codex":0.0010200891,"about_ca_system_score_gemma":0.0026099277,"threshold_uncertainty_score":0.035563827},"labels":[],"label_agreement":null},{"id":"W4386887320","doi":"10.2139/ssrn.4565000","title":"The Impact of Lending Shocks Across the Firm Size and Age Distribution","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Distribution (mathematics); Economics; Econometrics; Business; Mathematics","score_opus":0.01805708070043334,"score_gpt":0.26926044293671725,"score_spread":0.2512033622362839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386887320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298614,0.00038150628,0.0005012477,0.0014051873,0.000041405736,0.000010207865,0.0011264073,0.000044703545,0.0035031228],"genre_scores_gemma":[0.9967192,0.00016490924,0.000024804003,0.00007602689,0.000028638677,0.0000019305066,0.00034936465,0.000009620001,0.0026255564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899143,0.00027416318,0.00005714876,0.00014858374,0.00010701137,0.00042159556],"domain_scores_gemma":[0.96862483,0.021654379,0.004724316,0.0009101626,0.0012715168,0.002814719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024454878,0.00028992968,0.00069926586,0.00094707886,0.0003908307,0.0028360242,0.0006629331,0.0014871131,0.014448416],"category_scores_gemma":[0.019581553,0.00026174524,0.0008107917,0.0012890159,0.0010843431,0.0015981254,0.001357307,0.0020160358,0.00136633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035239186,0.0007705532,0.89208317,0.00012530074,0.0005185289,0.001907522,0.000944078,0.037435174,0.004954878,0.013574709,0.00707163,0.03709055],"study_design_scores_gemma":[0.000081817176,0.0004300045,0.9600209,0.000039571976,0.00032773628,0.00027676707,0.0024799053,0.02471279,0.0018718772,0.007631704,0.0020800533,0.000046948982],"about_ca_topic_score_codex":0.014064594,"about_ca_topic_score_gemma":0.011032071,"teacher_disagreement_score":0.014448416,"about_ca_system_score_codex":0.0008223609,"about_ca_system_score_gemma":0.00058448664,"threshold_uncertainty_score":0.048334718},"labels":[],"label_agreement":null},{"id":"W4386896709","doi":"10.1177/14657503231203486","title":"Unlocking the dual impact: Human capital's influence on mean and variability in new venture performance","year":2023,"lang":"en","type":"article","venue":"The International Journal of Entrepreneurship and Innovation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Human capital; Venture capital; Dual (grammatical number); Work (physics); Economics; Business; Econometrics; Demographic economics; Finance; Economic growth; Engineering","score_opus":0.038948510518845576,"score_gpt":0.27422951572321846,"score_spread":0.2352810052043729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386896709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900478,0.000557953,0.002339565,0.0005565336,0.000024699526,0.0000062385657,0.000091283335,0.000018304261,0.0063576107],"genre_scores_gemma":[0.9995227,0.000040520656,0.00012045969,0.000020606809,0.000021950187,0.0000014394385,0.000014495077,0.0000032639268,0.0002545867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978332,0.00092205027,0.00011620413,0.00044007273,0.000433772,0.00025462828],"domain_scores_gemma":[0.92792654,0.05484719,0.008297549,0.0040230574,0.0016397206,0.003266047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031794913,0.00020953019,0.00045601738,0.000850695,0.00031440827,0.0020485735,0.0004008141,0.0006529014,0.002774503],"category_scores_gemma":[0.022585759,0.00016398393,0.0005587467,0.0007392382,0.0012763513,0.0012540186,0.0015309703,0.001013783,0.00027040465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004079385,0.00023455883,0.9536783,0.000060083858,0.00035623828,0.00021348435,0.000856482,0.0032562364,0.002710499,0.005972677,0.000301027,0.03195246],"study_design_scores_gemma":[0.000008299078,0.00016682805,0.9890149,0.00002628292,0.00010443428,0.00007343126,0.00040319737,0.0049661235,0.0006689303,0.004085894,0.0004593045,0.000022281063],"about_ca_topic_score_codex":0.0026180407,"about_ca_topic_score_gemma":0.0024855882,"teacher_disagreement_score":0.0031794913,"about_ca_system_score_codex":0.0003805114,"about_ca_system_score_gemma":0.00072565064,"threshold_uncertainty_score":0.016814947},"labels":[],"label_agreement":null},{"id":"W4386941243","doi":"10.7202/1091878ar","title":"L’impact de la sinistralité passée sur la sinistralité future (2) : une modélisation des classes de risques","year":2011,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"HEC Montréal","keywords":"Humanities; Political science; Philosophy","score_opus":0.06179296203955696,"score_gpt":0.2936263542049259,"score_spread":0.2318333921653689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386941243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6329592,0.0070365053,0.2325579,0.015274519,0.0010402305,0.00024331927,0.006086464,0.00049357116,0.10430836],"genre_scores_gemma":[0.9570992,0.0020469516,0.007845951,0.0002287804,0.00016199722,0.00015659483,0.0009480153,0.00014805698,0.03136436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882144,0.00044802393,0.000049661016,0.0001973764,0.00019797285,0.0002855097],"domain_scores_gemma":[0.9946327,0.0030457838,0.0008070269,0.00036462958,0.0006851618,0.00046467132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030291348,0.00092734484,0.001228656,0.0008896671,0.0008308819,0.004279082,0.0022543233,0.0037235424,0.015589361],"category_scores_gemma":[0.010671563,0.0007935537,0.0027298229,0.0009466016,0.0013939893,0.0038367875,0.0020934031,0.004147642,0.0012463422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001489749,0.00007919199,0.007560597,0.000087983164,0.000112387286,0.00014791694,0.00022289086,0.8696677,0.00031106,0.11029297,0.0031251889,0.008243138],"study_design_scores_gemma":[0.000108364235,0.0001832121,0.0073816283,0.00010168961,0.00017062124,0.00014421121,0.00020167869,0.9070836,0.00044323993,0.07250198,0.011570096,0.00010973721],"about_ca_topic_score_codex":0.055174313,"about_ca_topic_score_gemma":0.025747538,"teacher_disagreement_score":0.055174313,"about_ca_system_score_codex":0.003491153,"about_ca_system_score_gemma":0.0035616814,"threshold_uncertainty_score":0.10970634},"labels":[],"label_agreement":null},{"id":"W4386952973","doi":"10.1093/rfs/hhad075","title":"Flight to Safety: How Economic Downturns Affect Talent Flows to Startups","year":2023,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Seekers; Recession; Offset (computer science); The Internet; Affect (linguistics); Business; Quality (philosophy); Entrepreneurship; Marketing; Labour economics; Demographic economics; Economics; Computer science; Finance; Psychology; Political science; World Wide Web","score_opus":0.057783176504499274,"score_gpt":0.2977516194649387,"score_spread":0.23996844296043945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386952973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968041,0.0003881181,0.00019676184,0.00023471216,0.000008374105,0.0000051721026,0.00078027527,0.0000061649753,0.0015764105],"genre_scores_gemma":[0.9987639,0.00016502217,0.000028800627,0.000027825725,0.000014750801,0.000004450579,0.0005249633,0.0000023231853,0.00046785988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996012,0.00008677821,0.000026887326,0.00007034467,0.000073134186,0.00014161675],"domain_scores_gemma":[0.9891493,0.0036907715,0.00525119,0.00022613836,0.0007610467,0.000921671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012813654,0.00014790615,0.0002546148,0.0015379414,0.00031760294,0.0016448951,0.0003000869,0.00045938385,0.003629473],"category_scores_gemma":[0.009099929,0.00009993413,0.00020722706,0.0015925348,0.00031522315,0.0006081747,0.00066708843,0.00068289746,0.00069950684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002073327,0.00007414415,0.9844431,0.000043081673,0.000050905823,0.00013842758,0.00055363146,0.0010796654,0.0003682963,0.00051489583,0.0013295443,0.011196938],"study_design_scores_gemma":[0.0000034153943,0.000037129856,0.9976547,0.000015834761,0.000014677296,0.000015977092,0.00052845874,0.00082810514,0.000116465555,0.00018965297,0.0005907692,0.000004998849],"about_ca_topic_score_codex":0.009596019,"about_ca_topic_score_gemma":0.0099410545,"teacher_disagreement_score":0.009596019,"about_ca_system_score_codex":0.0005148641,"about_ca_system_score_gemma":0.00027419027,"threshold_uncertainty_score":0.01908034},"labels":[],"label_agreement":null},{"id":"W4386997302","doi":"10.1080/15228916.2023.2257554","title":"Duration of Support and Financial Health of Business Support Structures in Burkina Faso, Cameroon, and Ghana: A Micro-Econometric Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of African Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Multinomial logistic regression; Duration (music); Scale (ratio); Finance; Business; Work (physics); Financial services; Ordered logit; Economics; Economic growth; Marketing","score_opus":0.021466010803934198,"score_gpt":0.23386786418129626,"score_spread":0.21240185337736206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386997302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998973,0.00012476921,0.00022129093,0.00014568566,0.0000028405457,0.000013084666,0.00028157618,0.00000320277,0.00023443725],"genre_scores_gemma":[0.999231,0.00008110993,0.00009618714,0.000014986782,0.0000051420466,0.00001600247,0.00026803662,0.000001424038,0.0002861418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989992,0.00057697354,0.00004336328,0.00009474239,0.000036442798,0.0002493158],"domain_scores_gemma":[0.9875329,0.008562206,0.0025604186,0.0002042361,0.00031143948,0.00082866667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021470615,0.00031841669,0.00041753604,0.0010423447,0.00069357466,0.0014789052,0.0006062464,0.00073042366,0.005516558],"category_scores_gemma":[0.007961317,0.00032131124,0.00062222517,0.0017130148,0.00096985174,0.0009386292,0.0008703782,0.0011569076,0.00032626776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014651666,0.00015300115,0.990122,0.000016640992,0.000105875435,0.00030624826,0.00057378743,0.0052455524,0.00008414675,0.00068577914,0.00031023522,0.0022502448],"study_design_scores_gemma":[0.000030936735,0.00021429361,0.94927967,0.000049509657,0.00015694991,0.0001956769,0.006763232,0.041762736,0.00013881778,0.00058381964,0.000802268,0.000022233837],"about_ca_topic_score_codex":0.09834177,"about_ca_topic_score_gemma":0.06298405,"teacher_disagreement_score":0.09834177,"about_ca_system_score_codex":0.0017284802,"about_ca_system_score_gemma":0.0008195309,"threshold_uncertainty_score":0.1955387},"labels":[],"label_agreement":null},{"id":"W4387454483","doi":"10.1080/13571516.2023.2260107","title":"Half-Century of Stagnation: Labor Productivity in Ontario’s Gold Mining Industry","year":2023,"lang":"en","type":"article","venue":"International Journal of the Economics of Business","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Productivity; Economics; Economic stagnation; Labour economics; Agricultural economics; Natural resource economics; Macroeconomics; Political science; Law","score_opus":0.03646960642351082,"score_gpt":0.22701622482389577,"score_spread":0.19054661840038495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387454483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97905594,0.0010537382,0.0001261214,0.0024856485,0.000025640988,0.000008174153,0.0014191386,0.00001273713,0.01581279],"genre_scores_gemma":[0.9927335,0.00072549377,0.000048693855,0.00014808224,0.000022714432,0.000004240222,0.00064004055,0.0000059583595,0.0056711836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930453,0.000031547774,0.000018425657,0.000054249893,0.0002567421,0.00033449478],"domain_scores_gemma":[0.997801,0.00018691235,0.0005291985,0.00005663716,0.00078056776,0.00064565614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070544897,0.00014636818,0.0002493214,0.0021668184,0.0024887128,0.001856285,0.00050784077,0.0005381233,0.0024366027],"category_scores_gemma":[0.002209133,0.0001794609,0.00020295309,0.0033988084,0.001673264,0.000858202,0.0012327202,0.0006699066,0.0003272634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045839822,0.00006838525,0.88051933,0.00018530061,0.000083545034,0.0014885212,0.050940838,0.0010561692,0.002316008,0.006991982,0.011906779,0.04398476],"study_design_scores_gemma":[0.0000026760936,0.000022846541,0.97992116,0.000030277663,0.0000057368998,0.000038763035,0.0066550826,0.00012760129,0.00010499581,0.00020641852,0.012874309,0.000010215003],"about_ca_topic_score_codex":0.90094286,"about_ca_topic_score_gemma":0.94792646,"teacher_disagreement_score":0.09905714,"about_ca_system_score_codex":0.02289561,"about_ca_system_score_gemma":0.013566762,"threshold_uncertainty_score":0.19928098},"labels":[],"label_agreement":null},{"id":"W4387600495","doi":"10.2139/ssrn.4566899","title":"Supply Chain Finance and Firm Capital Structure","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital structure; Business; Corporate finance; Finance; Financial system; Economics; Monetary economics; Financial economics; Industrial organization; Debt","score_opus":0.008676287445526914,"score_gpt":0.1953368921765344,"score_spread":0.18666060473100748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387600495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9240144,0.0035340982,0.017420555,0.006528528,0.00004767071,0.000051267536,0.0015267195,0.00011295484,0.046763726],"genre_scores_gemma":[0.99353445,0.0005851991,0.00031263405,0.00004702227,0.000043566277,0.0000059538756,0.00020370101,0.0000065889135,0.0052608135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997533,0.000077531935,0.000014389848,0.000039698163,0.00004313265,0.00007196324],"domain_scores_gemma":[0.9829055,0.010705581,0.0040617376,0.00046479443,0.00079581665,0.0010665327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009547472,0.00017975595,0.00034093377,0.00153359,0.0005003566,0.0029978242,0.0003847464,0.0013083857,0.019322393],"category_scores_gemma":[0.011422296,0.00028667256,0.00023428141,0.0025069176,0.0012970022,0.0035500405,0.00068478583,0.0009661061,0.0009501894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046464815,0.00040854912,0.37148732,0.00014490706,0.00018119258,0.00084800436,0.0005323383,0.104399115,0.0007714371,0.45226887,0.011518619,0.056974906],"study_design_scores_gemma":[0.0001373831,0.00019236412,0.16766272,0.00018059822,0.0001261272,0.00030406046,0.0008447683,0.124423884,0.0009494495,0.6936822,0.011433181,0.00006329022],"about_ca_topic_score_codex":0.008069538,"about_ca_topic_score_gemma":0.011669464,"teacher_disagreement_score":0.019322393,"about_ca_system_score_codex":0.0025359602,"about_ca_system_score_gemma":0.0010081024,"threshold_uncertainty_score":0.06463987},"labels":[],"label_agreement":null},{"id":"W4387807146","doi":"10.1016/j.red.2023.10.002","title":"Business ownership and the secondary market","year":2023,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Welfare; Matching (statistics); Economics; Benchmark (surveying); Transaction cost; Database transaction; Microeconomics; Business; Survey data collection; Industrial organization; Market economy","score_opus":0.021441148444078593,"score_gpt":0.22845647762260807,"score_spread":0.20701532917852947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387807146","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006426688,0.96486837,0.001332103,0.0084136315,0.00057052175,0.0000040909727,0.000050885577,0.000007069127,0.018326648],"genre_scores_gemma":[0.116831794,0.87064826,0.00041747288,0.0010819577,0.0044735074,0.000005659942,0.00007253229,0.0000075611015,0.006461247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996296,0.00012156738,0.0000234938,0.000051314597,0.0001272507,0.00004671142],"domain_scores_gemma":[0.9968387,0.0018249014,0.0003849365,0.000108047716,0.0006122619,0.00023126251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012189669,0.0002939022,0.0005935432,0.0024319445,0.0003290774,0.002757608,0.00039180226,0.00088069524,0.0037284405],"category_scores_gemma":[0.002811645,0.0001668097,0.00025506478,0.003476458,0.0023831497,0.003520893,0.00065489195,0.0015334461,0.00052715343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006372253,0.00011334133,0.0034738092,0.0013748645,0.000074288604,0.00019146287,0.00020385356,0.0020000888,0.00052370905,0.52448934,0.04014243,0.42734903],"study_design_scores_gemma":[0.000021532065,0.00008399882,0.016843455,0.0022372091,0.000055902252,0.00049676513,0.00029166118,0.0024732975,0.0003613521,0.32257944,0.6545255,0.000029841785],"about_ca_topic_score_codex":0.0029848448,"about_ca_topic_score_gemma":0.0032277438,"teacher_disagreement_score":0.0037284405,"about_ca_system_score_codex":0.001252518,"about_ca_system_score_gemma":0.0017798549,"threshold_uncertainty_score":0.012472928},"labels":[],"label_agreement":null},{"id":"W4388037334","doi":"10.1016/j.labeco.2023.102458","title":"The housing boom and selection into entrepreneurship","year":2023,"lang":"en","type":"article","venue":"Labour Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Boom; Entrepreneurship; Economics; Shock (circulatory); Selection (genetic algorithm); Labour economics; Wage; Finance; Engineering","score_opus":0.02321763723478709,"score_gpt":0.2099988231982052,"score_spread":0.1867811859634181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388037334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98675203,0.0009226182,0.00027372185,0.0032090216,0.000036759026,0.000009670385,0.0001392325,0.0000067953342,0.008650182],"genre_scores_gemma":[0.998197,0.00015003642,0.000021053807,0.000073143034,0.00003588094,0.00000125878,0.000031372834,0.0000019590116,0.0014881397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951494,0.00013375469,0.000018345681,0.000042018924,0.000048367496,0.0002425313],"domain_scores_gemma":[0.99674356,0.0009223342,0.00086503354,0.00009596435,0.00016707375,0.0012059894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010638736,0.00013559757,0.00028651842,0.00094416866,0.00083749613,0.0018936708,0.0002812154,0.00081109966,0.00841534],"category_scores_gemma":[0.00388596,0.0001102214,0.0002312856,0.0013468035,0.0019332543,0.0016666728,0.0012213645,0.0010245562,0.00036744555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063692575,0.0002850084,0.92591196,0.000036863432,0.000054908443,0.00058771716,0.0011409961,0.0006838769,0.00041987517,0.036833584,0.0028466124,0.030561686],"study_design_scores_gemma":[0.000033064207,0.0001384713,0.96991503,0.000037273985,0.000017309962,0.00017874461,0.0041963286,0.0013259294,0.00027502066,0.018453376,0.0054186084,0.000010948996],"about_ca_topic_score_codex":0.009778459,"about_ca_topic_score_gemma":0.021504048,"teacher_disagreement_score":0.009778459,"about_ca_system_score_codex":0.0008744064,"about_ca_system_score_gemma":0.0006351649,"threshold_uncertainty_score":0.028152108},"labels":[],"label_agreement":null},{"id":"W4388047166","doi":"10.1111/joie.12358","title":"Firm Matching in the Market for Technology: Business Stealing and Business Creation*","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Matching (statistics); Relevance (law); Business; Industrial organization; Business model; Product (mathematics); Electronic business; Marketing; Commerce","score_opus":0.06991573700782017,"score_gpt":0.2524062875925823,"score_spread":0.18249055058476216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388047166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98588866,0.00036759157,0.007806967,0.00082513975,0.000013171493,0.000081144164,0.002245291,0.00005225105,0.0027198626],"genre_scores_gemma":[0.9956554,0.000087178654,0.0016216745,0.000064929365,0.000033712033,0.000060539,0.0016153661,0.000006069008,0.0008550898],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996567,0.0012970923,0.00040856624,0.0007187855,0.00048337536,0.0005251405],"domain_scores_gemma":[0.9259776,0.036459748,0.03069011,0.004152352,0.0009227352,0.0017974696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056403223,0.00036127513,0.0009317544,0.0038367405,0.00097651454,0.0028879535,0.0013777431,0.0017721747,0.0061011463],"category_scores_gemma":[0.029088927,0.00033994773,0.0008999865,0.0050519384,0.0021346177,0.0031344723,0.002798516,0.0017838487,0.00080440624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021605555,0.00028924798,0.9753528,0.0000877714,0.0002079189,0.0002109518,0.00028971842,0.004362981,0.00074728235,0.005555299,0.0008582416,0.011821807],"study_design_scores_gemma":[0.00007234448,0.00029222135,0.9374242,0.000058731683,0.00017673416,0.00044630733,0.00084984914,0.04198837,0.0014164045,0.012906125,0.0043150526,0.000053611428],"about_ca_topic_score_codex":0.006889857,"about_ca_topic_score_gemma":0.0069776983,"teacher_disagreement_score":0.006889857,"about_ca_system_score_codex":0.00082685705,"about_ca_system_score_gemma":0.00053981115,"threshold_uncertainty_score":0.029829264},"labels":[],"label_agreement":null},{"id":"W4388145734","doi":"10.2139/ssrn.4592720","title":"Skilled Labor Uncertainty and Corporate Investment: Evidence from H-1B Visa Lottery Cycles","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lottery; Investment (military); Economics; Labour economics; Business; Microeconomics; Political science","score_opus":0.040539587418739136,"score_gpt":0.23553920997143216,"score_spread":0.194999622552693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388145734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963909,0.00029083653,0.00046080636,0.00049391924,0.000009614824,0.000010826631,0.0004589989,0.000013561597,0.0018705628],"genre_scores_gemma":[0.9983778,0.00013685261,0.000077564575,0.00006736768,0.000017131499,0.000005513088,0.00044143907,0.0000046923838,0.0008715199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994506,0.00023009084,0.000035032852,0.00009791439,0.00008533333,0.00010105096],"domain_scores_gemma":[0.96255034,0.022115326,0.009842071,0.0024188368,0.0010369293,0.0020365734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033905166,0.00022932758,0.00058155786,0.0010556239,0.00078764383,0.002124499,0.0009049178,0.0018799335,0.0062690675],"category_scores_gemma":[0.020994773,0.0003721712,0.00045928798,0.0013443532,0.0009894737,0.0014057537,0.00092434895,0.001306001,0.00076944544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071268957,0.0016461745,0.8757551,0.0002161967,0.0008065509,0.00045937594,0.0019096393,0.022063019,0.001395274,0.032611318,0.009241408,0.04676911],"study_design_scores_gemma":[0.00054536696,0.0010164013,0.8876684,0.00010371303,0.0002877927,0.00025626807,0.002426478,0.04740635,0.001003889,0.053501986,0.005666775,0.00011656711],"about_ca_topic_score_codex":0.007819154,"about_ca_topic_score_gemma":0.007823273,"teacher_disagreement_score":0.007819154,"about_ca_system_score_codex":0.0005238221,"about_ca_system_score_gemma":0.00035235763,"threshold_uncertainty_score":0.020972133},"labels":[],"label_agreement":null},{"id":"W4388267998","doi":"10.1016/j.jcjd.2023.10.050","title":"MACHINE LEARNING ALGORITHMS TO PREDICT OUTCOME OF FETAL CARDIAC DISEASE","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Outcome (game theory); Disease; Machine learning; Artificial intelligence; Algorithm; Internal medicine; Computer science; Mathematical economics","score_opus":0.026462641405304906,"score_gpt":0.21721740367951048,"score_spread":0.19075476227420557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388267998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83430547,0.0073686116,0.14061143,0.0058614844,0.00059977046,0.00017286597,0.004695052,0.0008873785,0.005497865],"genre_scores_gemma":[0.98010695,0.00077955774,0.01478278,0.00015419509,0.00021696623,0.000068547095,0.0024260073,0.000019969546,0.0014450526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999398,0.0003022903,0.000063341744,0.00009068856,0.00007612537,0.00006951285],"domain_scores_gemma":[0.9885174,0.009613255,0.00054286845,0.00029147355,0.0008286926,0.00020630052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032833137,0.00056948164,0.000715303,0.0019048296,0.00029531054,0.0009411098,0.0008146868,0.0010716986,0.0018131722],"category_scores_gemma":[0.013707028,0.00019810181,0.0006170268,0.0009597245,0.00028264377,0.00050358515,0.000441886,0.001432321,0.0005006247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085676333,0.0011117867,0.2187496,0.00012834284,0.00053317106,0.00018230388,0.000059044713,0.49555245,0.00051655003,0.003206999,0.010838281,0.26826462],"study_design_scores_gemma":[0.00004058252,0.000066846886,0.012529872,0.000026751672,0.00004060706,0.00003720199,0.000017500593,0.98321104,0.00021933766,0.0034664534,0.0003359108,0.000007968798],"about_ca_topic_score_codex":0.009299674,"about_ca_topic_score_gemma":0.0060647093,"teacher_disagreement_score":0.009299674,"about_ca_system_score_codex":0.0009124429,"about_ca_system_score_gemma":0.00095012505,"threshold_uncertainty_score":0.01849109},"labels":[],"label_agreement":null},{"id":"W4388469480","doi":"10.2139/ssrn.4597388","title":"Talent Market Competition and Firm Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Business; Competition (biology); Industrial organization","score_opus":0.013325140992199216,"score_gpt":0.2020440138647565,"score_spread":0.1887188728725573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388469480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97447896,0.0014363853,0.00094344706,0.001699509,0.000029288249,0.000007916161,0.00022165087,0.000034104196,0.021148741],"genre_scores_gemma":[0.99721295,0.00015843977,0.00004589981,0.000051961128,0.00004047933,0.0000019629215,0.00005692252,0.0000034382335,0.002427983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944633,0.00023271595,0.000022245218,0.00004992341,0.00007967748,0.00016898604],"domain_scores_gemma":[0.9809172,0.011633557,0.0033142597,0.0002673824,0.0007278265,0.0031397743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018387772,0.00020431512,0.00038572476,0.0018219147,0.00055899785,0.0032542942,0.00036200913,0.0012170202,0.018612461],"category_scores_gemma":[0.010841323,0.00010546869,0.0002963445,0.0016899727,0.0010497591,0.0018874641,0.0011066784,0.00095996493,0.0011257554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020327917,0.0017266587,0.7574865,0.0002675236,0.0004233571,0.0027492982,0.00166273,0.02565978,0.0022652214,0.13072415,0.008246196,0.06675567],"study_design_scores_gemma":[0.00021423989,0.0008481534,0.77694005,0.00013976918,0.00022466992,0.00078909326,0.004813665,0.049837433,0.0014831376,0.15562144,0.008988244,0.00010006101],"about_ca_topic_score_codex":0.0035274387,"about_ca_topic_score_gemma":0.004428336,"teacher_disagreement_score":0.018612461,"about_ca_system_score_codex":0.0011854062,"about_ca_system_score_gemma":0.00063045643,"threshold_uncertainty_score":0.06226492},"labels":[],"label_agreement":null},{"id":"W4388628063","doi":"10.2139/ssrn.4631010","title":"Technology and Labor Displacement: Evidence from Linking Patents with Worker-Level Data","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Labour economics; Displacement (psychology); Displaced workers; Business; Demographic economics; Economics; Psychology; Economic growth; Unemployment","score_opus":0.07488405502189081,"score_gpt":0.2585421575772016,"score_spread":0.1836581025553108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388628063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802817,0.0010852638,0.00093604537,0.00044550985,0.000019703617,0.000021261212,0.0051438035,0.000020421803,0.0042998996],"genre_scores_gemma":[0.9943295,0.00048154555,0.00027578566,0.000055524935,0.00004110035,0.000022097882,0.003641633,0.0000066144603,0.0011462732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967127,0.0011496651,0.00039135758,0.0005672967,0.0007656705,0.00041334025],"domain_scores_gemma":[0.87442213,0.06700746,0.046943285,0.0070441784,0.0028377417,0.0017451633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037628568,0.00026893246,0.0004690062,0.003869731,0.0005831445,0.0016016983,0.0012581294,0.001188892,0.007119635],"category_scores_gemma":[0.036198206,0.00028524068,0.0005247869,0.010220861,0.001059316,0.0015040783,0.0017943956,0.0007253008,0.001709753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021531605,0.00010484813,0.98813164,0.000076862234,0.00021149305,0.00010163509,0.0004456536,0.00083524367,0.0002162338,0.00069489726,0.0008761538,0.00809008],"study_design_scores_gemma":[0.000030914638,0.00013008663,0.9932514,0.000049366085,0.000107127846,0.00009401868,0.0008671652,0.0008672359,0.00048943213,0.0011692175,0.0029253822,0.000018671022],"about_ca_topic_score_codex":0.013972809,"about_ca_topic_score_gemma":0.012466302,"teacher_disagreement_score":0.013972809,"about_ca_system_score_codex":0.00048062147,"about_ca_system_score_gemma":0.0007117277,"threshold_uncertainty_score":0.027782977},"labels":[],"label_agreement":null},{"id":"W4388647936","doi":"10.3386/w31846","title":"Technology and Labor Displacement: Evidence from Linking Patents with Worker-Level Data","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Displacement (psychology); Labour economics; Displaced workers; Business; Demographic economics; Economics; Psychology; Economic growth; Unemployment","score_opus":0.74800430842551,"score_gpt":0.5171609937697341,"score_spread":0.2308433146557759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388647936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852636,0.0016473414,0.0017730269,0.00061745,0.000013757228,0.00003403791,0.004438485,0.000035496418,0.0061768824],"genre_scores_gemma":[0.9954561,0.0005946127,0.0004757672,0.000059740538,0.000039725477,0.000025379924,0.002460409,0.000005326419,0.0008829042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997503,0.0008778267,0.0002855819,0.0004304825,0.00067274604,0.00023032697],"domain_scores_gemma":[0.87112105,0.06777676,0.051483974,0.005767788,0.0025401146,0.0013103221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003417729,0.00026307223,0.00032654192,0.0034625183,0.00050274027,0.0011418528,0.00083708594,0.00061899034,0.005236757],"category_scores_gemma":[0.03719497,0.00019416964,0.00042063734,0.00737823,0.0007807639,0.0012131106,0.0012283138,0.000536667,0.0010438215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059672093,0.00005928015,0.98922986,0.000036033325,0.00006968708,0.00007083817,0.00016626941,0.00079928484,0.00009477324,0.000497905,0.00041841963,0.008497906],"study_design_scores_gemma":[0.000014539871,0.00008589924,0.99361056,0.00004175139,0.00005581782,0.000077752324,0.00034842882,0.0019054081,0.0003343912,0.0011492434,0.0023617574,0.000014419884],"about_ca_topic_score_codex":0.017335312,"about_ca_topic_score_gemma":0.015050791,"teacher_disagreement_score":0.017335312,"about_ca_system_score_codex":0.0004967007,"about_ca_system_score_gemma":0.0005956957,"threshold_uncertainty_score":0.03446883},"labels":[],"label_agreement":null},{"id":"W4388652531","doi":"","title":"An R package for calculating repeat-sale price indices","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"R package; Econometrics; Package design; Mathematics; Economics; Statistics; Computer science; Engineering drawing; Engineering","score_opus":0.25975575676534984,"score_gpt":0.5082769898956712,"score_spread":0.24852123313032132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388652531","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005238822,0.0018809384,0.41024575,0.0021337601,0.0008873518,0.0010821244,0.32194644,0.23147891,0.025106],"genre_scores_gemma":[0.038737148,0.0017105148,0.5771117,0.0021667844,0.0004984338,0.005271124,0.18504144,0.16607177,0.023391077],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99645644,0.0010913544,0.00044039378,0.0006549772,0.0011549601,0.0002018383],"domain_scores_gemma":[0.98048234,0.012883568,0.0016558629,0.0018952027,0.0027140006,0.00036894812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775795,0.002001878,0.0017610095,0.002981342,0.0005904419,0.0026843268,0.0025419174,0.00092753035,0.09842152],"category_scores_gemma":[0.045190964,0.0013196975,0.0019249163,0.003079198,0.0006994065,0.0023994436,0.0021352812,0.00288071,0.081002265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002712247,0.00005157389,0.005133132,0.0017585724,0.0005895042,0.00024315603,0.00019203001,0.0053739436,0.0013573217,0.0125468075,0.89529616,0.07718665],"study_design_scores_gemma":[0.00027614093,0.00014291001,0.009190212,0.0006538141,0.00043070083,0.0006799635,0.00011529163,0.020462526,0.0039115525,0.05228553,0.9116573,0.00019406459],"about_ca_topic_score_codex":0.004437058,"about_ca_topic_score_gemma":0.005828654,"teacher_disagreement_score":0.09842152,"about_ca_system_score_codex":0.0008772417,"about_ca_system_score_gemma":0.003545181,"threshold_uncertainty_score":0.32925278},"labels":[],"label_agreement":null},{"id":"W4388979699","doi":"10.1016/j.econlet.2023.111437","title":"Under the hood of the routine share decline","year":2023,"lang":"en","type":"article","venue":"Economics Letters","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mechanism (biology); Creative destruction; Aggregate (composite); Business; Economics; Demographic economics; Labour economics; Market economy","score_opus":0.035052981552944486,"score_gpt":0.20599351051003317,"score_spread":0.1709405289570887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388979699","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23016904,0.0026573222,0.044788916,0.39776984,0.004405258,0.00007814864,0.0010724233,0.0011606104,0.3178984],"genre_scores_gemma":[0.93276507,0.0004669009,0.0020854194,0.024421358,0.003864837,0.000038526858,0.00009835363,0.00021012845,0.036049426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998565,0.00025373927,0.00006926375,0.00044458624,0.00041659496,0.00025074225],"domain_scores_gemma":[0.99485296,0.0016026201,0.0009522025,0.0011693757,0.00077225594,0.00065051526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031564208,0.00024411432,0.00072284497,0.0005902762,0.0013910196,0.0049500125,0.0007125801,0.0044989605,0.011599319],"category_scores_gemma":[0.018564189,0.00022042448,0.00041108637,0.00047222988,0.004681818,0.005415404,0.0018101825,0.0050597657,0.0017193462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022018774,0.00004801691,0.0060378294,0.000034084827,0.00003810939,0.0003339679,0.0005450793,0.0008766916,0.0010617564,0.89853483,0.05568471,0.036584802],"study_design_scores_gemma":[0.000105384504,0.000118491735,0.013596563,0.000056803307,0.000028705177,0.00042228078,0.0006260383,0.0055676484,0.0011381223,0.87564194,0.10263567,0.00006239265],"about_ca_topic_score_codex":0.0032404666,"about_ca_topic_score_gemma":0.003317264,"teacher_disagreement_score":0.011599319,"about_ca_system_score_codex":0.0014120034,"about_ca_system_score_gemma":0.0011034623,"threshold_uncertainty_score":0.038803637},"labels":[],"label_agreement":null},{"id":"W4389323813","doi":"10.35611/jkt.2023.27.5.91","title":"Localized Knowledge Spillovers and Organizational Capabilities: Evidence from the Canadian Manufacturing Sector","year":2023,"lang":"en","type":"article","venue":"Journal of Korea Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Manufacturing sector; Business; Industrial organization; Organizational learning; Knowledge management; Economic geography; Economics; Labour economics; Computer science","score_opus":0.04922087012317173,"score_gpt":0.22802089222161437,"score_spread":0.17880002209844265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389323813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902593,0.0013079051,0.00033494315,0.00043047927,0.0000045854003,0.000033906865,0.00048502572,0.000007322301,0.007136625],"genre_scores_gemma":[0.998237,0.00073307566,0.00015932319,0.000050701972,0.0000022176798,0.0000066147545,0.00021865132,0.000001507442,0.00059087196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871135,0.00018506577,0.000048150294,0.00019337787,0.0005474639,0.00031472044],"domain_scores_gemma":[0.99119157,0.0031561747,0.002261969,0.00049621286,0.002118438,0.00077565474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016411062,0.0003025439,0.00034901875,0.00204565,0.002921434,0.0013411236,0.0008569093,0.00042644766,0.003989939],"category_scores_gemma":[0.0071212198,0.00018645692,0.000478409,0.004635976,0.0012860787,0.0008275006,0.0014100396,0.00057399727,0.00025000196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014418148,0.00019723969,0.9504403,0.00038748325,0.00013639688,0.00046668982,0.0071893013,0.0015362039,0.0006187844,0.0017630907,0.0010777505,0.036042556],"study_design_scores_gemma":[0.000008721679,0.000036384226,0.9874692,0.00012585818,0.00007164873,0.000049639046,0.008994665,0.0006900199,0.00017059721,0.00020504354,0.0021599513,0.000018244247],"about_ca_topic_score_codex":0.9609974,"about_ca_topic_score_gemma":0.97967875,"teacher_disagreement_score":0.9865614,"about_ca_system_score_codex":0.013438561,"about_ca_system_score_gemma":0.024839995,"threshold_uncertainty_score":0.09750402},"labels":[],"label_agreement":null},{"id":"W4390751572","doi":"10.1287/stsc.2022.0060","title":"Incumbent Incentives in Response to Entry","year":2024,"lang":"en","type":"article","venue":"Strategy Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Competition (biology); Industrial organization; Work (physics); Microeconomics; Space (punctuation); Economics; Barriers to entry; Business; Computer science; Market structure; Engineering","score_opus":0.03277754715770701,"score_gpt":0.2761569258133499,"score_spread":0.24337937865564288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390751572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7697762,0.000569435,0.018772889,0.0041093347,0.000090125286,0.00012553069,0.00023341968,0.00011283327,0.2062102],"genre_scores_gemma":[0.99286556,0.00009768583,0.0007220402,0.00026012264,0.00001768306,0.000017545652,0.00002109872,0.000008439106,0.005989812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976713,0.0009156773,0.000095154326,0.00025780863,0.00028653748,0.000773604],"domain_scores_gemma":[0.98934,0.005742835,0.0019103581,0.0006324897,0.0007830917,0.0015912039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045098807,0.00025815456,0.0005612286,0.0006392554,0.0007399755,0.0032603322,0.0006765105,0.0025657574,0.014908275],"category_scores_gemma":[0.016091546,0.0003446486,0.00049233745,0.00042617213,0.001204159,0.0017744731,0.0017938099,0.0017127076,0.0012477926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013039397,0.00044986373,0.054288022,0.00040752863,0.00014919939,0.0012030615,0.0035557146,0.06032149,0.014544953,0.80438095,0.010629555,0.048765756],"study_design_scores_gemma":[0.00038988743,0.0012842853,0.16061106,0.0002854573,0.00018436046,0.0008583019,0.012856125,0.18289426,0.006653346,0.5868121,0.04684928,0.00032162355],"about_ca_topic_score_codex":0.0023499385,"about_ca_topic_score_gemma":0.0037612377,"teacher_disagreement_score":0.014908275,"about_ca_system_score_codex":0.0017186563,"about_ca_system_score_gemma":0.0012898693,"threshold_uncertainty_score":0.049873173},"labels":[],"label_agreement":null},{"id":"W4391487286","doi":"10.1111/grow.12706","title":"Survival of new and small retail businesses facing mega‐retailers in non‐metropolitan areas—The case of Walmart in the province of Quebec","year":2024,"lang":"en","type":"article","venue":"Growth and Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Megacity; Business; Mega-; Closure (psychology); Economic geography; Geography; Economic growth; Economy; Economics; Market economy","score_opus":0.05734081356830859,"score_gpt":0.2292605332592198,"score_spread":0.17191971969091122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391487286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969896,0.00021883986,0.00006787371,0.00037891357,0.000004947725,0.0000131915795,0.0005939708,0.0000033623755,0.0017291893],"genre_scores_gemma":[0.9980021,0.00009485051,0.00003145394,0.000034386896,0.0000037995635,0.000003878729,0.00031820958,0.0000011246666,0.0015101713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993498,0.00007924134,0.000012669828,0.00006716889,0.00009443424,0.00039675614],"domain_scores_gemma":[0.996079,0.0005338522,0.00085778645,0.00009434085,0.000906197,0.0015287927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005587435,0.00022611293,0.00032080527,0.0010651493,0.002159778,0.0026011148,0.0015939274,0.00069431635,0.0052845916],"category_scores_gemma":[0.0019520536,0.00013821652,0.0004827542,0.001543744,0.0010175753,0.0006762159,0.0010985935,0.00091665605,0.00035805022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021396666,0.00017904678,0.9834938,0.000036111524,0.00009203618,0.0012490024,0.0015738223,0.0025636032,0.0003686123,0.00084348285,0.0022974536,0.00708909],"study_design_scores_gemma":[0.000011423784,0.0000630475,0.98315585,0.00003306723,0.000028620247,0.00013483755,0.0107614705,0.0037162711,0.000107943,0.00010731114,0.0018541536,0.000026065794],"about_ca_topic_score_codex":0.9775828,"about_ca_topic_score_gemma":0.990626,"teacher_disagreement_score":0.023844238,"about_ca_system_score_codex":0.023844238,"about_ca_system_score_gemma":0.011309707,"threshold_uncertainty_score":0.1730029},"labels":[],"label_agreement":null},{"id":"W4391687660","doi":"10.1007/s00191-024-00847-9","title":"Economics of technology cycle time (TCT) and catch-up by latecomers: Micro-, meso-, and macro-analyses and implications","year":2024,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Seoul National University","keywords":"Macro; Economics; Entrepreneurship; Econometrics; Economic geography; Mathematics; Computer science","score_opus":0.02066307039133544,"score_gpt":0.24964850188265053,"score_spread":0.2289854314913151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391687660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9149299,0.008123701,0.014468226,0.006824074,0.000042311593,0.00008179178,0.00027687332,0.00003617442,0.055216923],"genre_scores_gemma":[0.9953075,0.0016408262,0.00035149304,0.000081284365,0.00002902031,0.000011967534,0.000024292394,0.000004510407,0.0025491144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962664,0.00012613069,0.00001475314,0.000046308272,0.00006976242,0.00011645374],"domain_scores_gemma":[0.99184835,0.003959453,0.002598776,0.00024293504,0.00048279823,0.0008677011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010651144,0.00018045197,0.00029399135,0.0015032722,0.00060242764,0.0033871632,0.00041483837,0.0011508793,0.005229913],"category_scores_gemma":[0.004676346,0.00016792714,0.0004553215,0.0013515346,0.0022393495,0.002901982,0.0013671513,0.0011602709,0.0002881429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037602606,0.00028597855,0.14283752,0.0004433117,0.00013178375,0.0024107003,0.0020940772,0.04351,0.0017879464,0.7360827,0.0029549843,0.06708496],"study_design_scores_gemma":[0.0000861279,0.000554513,0.20878105,0.0006411695,0.0001520157,0.001272062,0.011913599,0.08008875,0.0021084337,0.658511,0.03571753,0.00017383866],"about_ca_topic_score_codex":0.002888798,"about_ca_topic_score_gemma":0.0019921977,"teacher_disagreement_score":0.005229913,"about_ca_system_score_codex":0.0020002725,"about_ca_system_score_gemma":0.0008276614,"threshold_uncertainty_score":0.017495811},"labels":[],"label_agreement":null},{"id":"W4391708145","doi":"10.1016/j.tra.2024.103994","title":"Standing strong? The causal impact of metro stations on service firms’ survival","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Service (business); Telecommunications; Marketing; Engineering","score_opus":0.269323898473796,"score_gpt":0.4649508965879864,"score_spread":0.19562699811419038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391708145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767754,0.0012759023,0.00071448466,0.012925968,0.00016874779,0.000016540242,0.0010118652,0.000027166912,0.007083849],"genre_scores_gemma":[0.9977805,0.00024729143,0.000029259945,0.00017689461,0.00013534476,0.000004437868,0.0001622852,0.0000046017235,0.0014594084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718744,0.00094018294,0.00013224501,0.00033959295,0.00016648922,0.0012340464],"domain_scores_gemma":[0.942177,0.03125051,0.01468645,0.0023578876,0.0020333044,0.0074948943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038069726,0.00034818146,0.0006771087,0.0012900708,0.001495409,0.0031733993,0.0011414684,0.003360254,0.021252677],"category_scores_gemma":[0.024195695,0.00037078175,0.0010420167,0.002852244,0.0027818745,0.0022091474,0.0018677553,0.004582637,0.0013963996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039483808,0.00021799955,0.97589225,0.000055530407,0.00051344914,0.00042205944,0.0006277573,0.002118593,0.00028231667,0.005978825,0.0036735702,0.00982284],"study_design_scores_gemma":[0.000099872996,0.00037967952,0.9678991,0.00011257211,0.0006824746,0.00014929178,0.009191642,0.004558749,0.00043140713,0.011690109,0.0047483714,0.00005692361],"about_ca_topic_score_codex":0.041727073,"about_ca_topic_score_gemma":0.048020437,"teacher_disagreement_score":0.041727073,"about_ca_system_score_codex":0.0011759424,"about_ca_system_score_gemma":0.0021865852,"threshold_uncertainty_score":0.082968354},"labels":[],"label_agreement":null},{"id":"W4392052794","doi":"10.5539/ibr.v17n2p15","title":"Firm’s Annual Labor Productivity Growth Determinants: Sub-Sahara Africa","year":2024,"lang":"en","type":"article","venue":"International Business Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Business; Agricultural economics; Labour economics; Demographic economics; Economic growth","score_opus":0.07808486371276614,"score_gpt":0.32970478258137376,"score_spread":0.25161991886860763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392052794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906024,0.00197968,0.00017669264,0.00095208926,0.000023579314,0.000009049635,0.0010745043,0.0000073040574,0.0051747807],"genre_scores_gemma":[0.9980203,0.0010812721,0.000048404403,0.0000455585,0.000016868304,0.0000039165543,0.0003357014,0.000001802872,0.0004462075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981195,0.00003427593,0.000009654711,0.000018375493,0.00002830804,0.00009740801],"domain_scores_gemma":[0.9989913,0.00017139714,0.000498929,0.000024745967,0.00014942499,0.00016409071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031579466,0.00020123678,0.00015410571,0.0011262713,0.00033931798,0.00084949855,0.00023001472,0.00013115292,0.0026696243],"category_scores_gemma":[0.0013085982,0.00009622887,0.00019716678,0.0026021097,0.00022921717,0.0005615459,0.00064039056,0.0004040183,0.0002723576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003064075,0.000027372786,0.9750622,0.000091034286,0.00008543002,0.0006599437,0.0011625132,0.00048377068,0.00021834948,0.0013685924,0.0021017087,0.018708505],"study_design_scores_gemma":[0.0000030703525,0.00001388499,0.9900023,0.00009808945,0.000034520985,0.00014551214,0.0033363998,0.00046734718,0.00011162975,0.00020407853,0.0055793775,0.0000038505964],"about_ca_topic_score_codex":0.03984042,"about_ca_topic_score_gemma":0.037975304,"teacher_disagreement_score":0.03984042,"about_ca_system_score_codex":0.00049454474,"about_ca_system_score_gemma":0.0007260027,"threshold_uncertainty_score":0.07921708},"labels":[],"label_agreement":null},{"id":"W4392546041","doi":"10.1007/s11129-024-09279-y","title":"Transitory shocks, limited attention, and a firm’s decision to exit","year":2024,"lang":"en","type":"article","venue":"Quantitative Marketing and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council","keywords":"Economics; Business; Monetary economics","score_opus":0.03712841267926541,"score_gpt":0.25220484341538135,"score_spread":0.21507643073611593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392546041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849474,0.000031444415,0.0004414434,0.00016847,0.0000026928105,0.0000083252135,0.00005540451,0.0000032511061,0.00079417473],"genre_scores_gemma":[0.9995546,0.000015402753,0.000047193724,0.000016915548,0.0000044060234,0.0000022459815,0.000031290754,4.487287e-7,0.00032749007],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915516,0.0002041225,0.00006546846,0.0001606184,0.000102509715,0.0003120688],"domain_scores_gemma":[0.9687761,0.013031073,0.013891946,0.0010065315,0.0008288715,0.0024654537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020392004,0.00015164776,0.00048169313,0.0005431338,0.00040538513,0.0021313012,0.0005206341,0.0011884255,0.0052982094],"category_scores_gemma":[0.012407929,0.00024888534,0.00023700307,0.0003759194,0.0010184486,0.0009738007,0.0011621503,0.0011639346,0.00041609406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009956112,0.0006859989,0.9612996,0.000048139766,0.00010928327,0.00049944024,0.0005090567,0.018314822,0.0024065673,0.0035936108,0.0005458515,0.0109921135],"study_design_scores_gemma":[0.00005160628,0.00044824538,0.9566204,0.000035006044,0.000053412525,0.00007827075,0.0014111804,0.032929797,0.0011073403,0.006766099,0.000459352,0.00003926871],"about_ca_topic_score_codex":0.0062530227,"about_ca_topic_score_gemma":0.008422,"teacher_disagreement_score":0.0062530227,"about_ca_system_score_codex":0.0011815216,"about_ca_system_score_gemma":0.00038098072,"threshold_uncertainty_score":0.017724216},"labels":[],"label_agreement":null},{"id":"W4392657605","doi":"10.1007/s11151-024-09949-x","title":"Screening Through Investment: Evidence from the Chinese Automobile Industry","year":2024,"lang":"en","type":"article","venue":"Review of Industrial Organization","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Lingnan University","keywords":"Investment (military); Quality (philosophy); Business; Competition (biology); Product (mathematics); Industrial organization; Capital (architecture); Commerce; Monetary economics; Finance; Economics","score_opus":0.08031480414379898,"score_gpt":0.28408013963046735,"score_spread":0.20376533548666836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392657605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545896,0.0010013931,0.000111493006,0.00021347422,0.0000037262034,0.000013464875,0.00018107786,0.0000033055808,0.003013159],"genre_scores_gemma":[0.9985349,0.00061144744,0.00003777864,0.000042966105,0.000009698591,0.00000440899,0.0002165066,7.331993e-7,0.0005415688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918646,0.00015865691,0.00006524886,0.00015729693,0.0002624441,0.00016987494],"domain_scores_gemma":[0.98895115,0.003868764,0.0047414065,0.0004232606,0.0013518098,0.00066368247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017827911,0.00028425144,0.00037254606,0.0025701271,0.00062517717,0.0010244903,0.00057185336,0.00050861953,0.003966782],"category_scores_gemma":[0.004886528,0.00019469263,0.0005013597,0.002875414,0.00087186735,0.0007965994,0.0008733523,0.00043353683,0.0003127482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072503244,0.000098021694,0.98825943,0.00010167411,0.00007790385,0.00026351569,0.00064519705,0.00027800546,0.00019729731,0.0008257873,0.00040538664,0.008775228],"study_design_scores_gemma":[0.000010730503,0.000048175614,0.9974323,0.00003145958,0.00008144026,0.000036913578,0.00064335647,0.0006501702,0.00017685715,0.00017047924,0.0007110049,0.0000069763955],"about_ca_topic_score_codex":0.06964867,"about_ca_topic_score_gemma":0.059444096,"teacher_disagreement_score":0.06964867,"about_ca_system_score_codex":0.0014854118,"about_ca_system_score_gemma":0.0013248817,"threshold_uncertainty_score":0.13848656},"labels":[],"label_agreement":null},{"id":"W4394872164","doi":"10.1007/s12652-024-04792-0","title":"Predict industry merger waves utilizing supply network information","year":2024,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Natural Science Foundation of Shandong Province; Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Computer science; Field (mathematics); Computational intelligence; Mergers and acquisitions; Artificial neural network; Dimension (graph theory); Data mining; Artificial intelligence; Data science; Machine learning; Finance; Business; Mathematics","score_opus":0.042772491776756155,"score_gpt":0.2529456421184176,"score_spread":0.21017315034166142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394872164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926662,0.00011699722,0.002063885,0.00029056924,0.00001736698,0.000040211507,0.0017538465,0.00004444645,0.003006381],"genre_scores_gemma":[0.9957897,0.00007847501,0.000794954,0.000031544867,0.00003230938,0.00001547469,0.0019090963,0.0000051054994,0.0013434213],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997483,0.00004644151,0.000021212061,0.000044381322,0.000068063404,0.00007166394],"domain_scores_gemma":[0.99547297,0.0026759948,0.0008001798,0.00016447576,0.0005465267,0.0003398517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076506916,0.0002444406,0.0002515573,0.00363608,0.00034670037,0.0009787524,0.0004003751,0.0010476784,0.004704412],"category_scores_gemma":[0.005307538,0.00023362474,0.00032421818,0.002303746,0.00014338327,0.0015785212,0.0006539823,0.00064155273,0.0010795261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005362522,0.0005542306,0.93360585,0.000029373563,0.00010155788,0.00018218165,0.00008083861,0.02507155,0.0010706338,0.0009632011,0.0039025217,0.033901803],"study_design_scores_gemma":[0.0000524749,0.00032847744,0.40798953,0.000030432911,0.000096776115,0.00018479905,0.00057871686,0.583521,0.001535799,0.0025334198,0.003127231,0.000021303991],"about_ca_topic_score_codex":0.0074781636,"about_ca_topic_score_gemma":0.014001197,"teacher_disagreement_score":0.0074781636,"about_ca_system_score_codex":0.000526651,"about_ca_system_score_gemma":0.0003489602,"threshold_uncertainty_score":0.015737832},"labels":[],"label_agreement":null},{"id":"W4394960437","doi":"10.33423/jabe.v26i1.6905","title":"When Does a Firm Have Faster Speed Despite Inferior Capability? Disintegrating Capability and Incentive Effects When Examining Firm Speed","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Industrial organization; Construct (python library); Business; Mechanism (biology); Speedup; Microeconomics; Economics; Computer science","score_opus":0.020659783573936635,"score_gpt":0.2141762651858703,"score_spread":0.19351648161193366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394960437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791622,0.00082770386,0.00914642,0.0011753351,0.00004876916,0.0000646376,0.0003578976,0.000025870075,0.009191089],"genre_scores_gemma":[0.9982657,0.00012856718,0.001007028,0.0000643789,0.000034756253,0.000018957513,0.00007716661,0.000006742178,0.00039675608],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99705493,0.00096116035,0.0003634644,0.0006309668,0.00047212455,0.00051740155],"domain_scores_gemma":[0.89655703,0.06655479,0.028413564,0.0036369348,0.002270083,0.002567557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007856528,0.00029911316,0.0008480246,0.0029773728,0.00076210906,0.0030576803,0.00070646853,0.0013660085,0.004565988],"category_scores_gemma":[0.055582408,0.00021062003,0.000950917,0.0033413442,0.00230765,0.0057142107,0.0016438914,0.0016380677,0.00033924973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003016474,0.00013338309,0.9312975,0.00017068144,0.0002889291,0.00025973914,0.0014653222,0.00617449,0.00067264057,0.034958415,0.0005412732,0.023736116],"study_design_scores_gemma":[0.00006307034,0.00040672006,0.92566156,0.00015708923,0.00023258434,0.00030399297,0.003348689,0.014899564,0.0010656539,0.04933364,0.0044332515,0.00009413797],"about_ca_topic_score_codex":0.0033495033,"about_ca_topic_score_gemma":0.0024095238,"teacher_disagreement_score":0.007856528,"about_ca_system_score_codex":0.0008459565,"about_ca_system_score_gemma":0.0007073117,"threshold_uncertainty_score":0.0415498},"labels":[],"label_agreement":null},{"id":"W4394960849","doi":"10.33423/jabe.v26i1.6876","title":"The Effect of Financial Development and International Trade on Deregulation","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Deregulation; Economics; Gross domestic product; Per capita; Liberalization; International economics; Panel data; Monetary economics; Financial market; Financial sector development; Developing country; Macroeconomics; Finance; Econometrics; Economic growth; Market economy","score_opus":0.01365344112544246,"score_gpt":0.19796186392521306,"score_spread":0.1843084227997706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394960849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886537,0.0018610898,0.000765648,0.0006019807,0.000024462865,0.000014064033,0.0010178969,0.000017620747,0.0070434175],"genre_scores_gemma":[0.9978891,0.0007855272,0.00017307262,0.00005343108,0.000020479732,0.0000058151886,0.00047333067,0.0000038942376,0.00059532543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914825,0.0002304307,0.00007553093,0.00015960417,0.00012939473,0.00025684788],"domain_scores_gemma":[0.98662204,0.00513143,0.0064562345,0.0006281082,0.0007596932,0.0004025513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018102799,0.0003353415,0.00034690168,0.0012547749,0.00037864654,0.0017264229,0.0002572852,0.00044762596,0.004958811],"category_scores_gemma":[0.00779029,0.00014715045,0.0006226858,0.0023736423,0.0009954092,0.0015489307,0.0012624268,0.0010569566,0.00034250185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034097495,0.000119320044,0.945761,0.00015450676,0.0003400898,0.00047125164,0.00040425683,0.0083715245,0.0017008984,0.008865164,0.0009652755,0.032505695],"study_design_scores_gemma":[0.000009165081,0.00014136732,0.986286,0.00005126102,0.00013367411,0.00016608476,0.0006862549,0.0026192083,0.0021305124,0.0023285027,0.0054270406,0.000020986543],"about_ca_topic_score_codex":0.0038813595,"about_ca_topic_score_gemma":0.004600259,"teacher_disagreement_score":0.004958811,"about_ca_system_score_codex":0.0011181457,"about_ca_system_score_gemma":0.000715929,"threshold_uncertainty_score":0.016588867},"labels":[],"label_agreement":null},{"id":"W4395095908","doi":"10.2139/ssrn.4804876","title":"Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Dynamics (music); Private sector; Business; Labour economics; Industrial organization; Economics; Economic growth; Sociology","score_opus":0.04885556383153592,"score_gpt":0.22250909804526184,"score_spread":0.17365353421372592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395095908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96851146,0.00026993582,0.0054783444,0.0003285355,0.000021844447,0.000030183597,0.022843357,0.000111136345,0.002405175],"genre_scores_gemma":[0.97838473,0.00019798282,0.0023375838,0.000023467572,0.000048541933,0.00003066314,0.017977022,0.000020855656,0.0009792648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901867,0.0002545884,0.00011084702,0.00022556103,0.0002722579,0.000118005606],"domain_scores_gemma":[0.9898532,0.0045022033,0.003220811,0.0010748908,0.00081054424,0.00053837214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013135212,0.00032338532,0.0003683745,0.0028663448,0.00019638572,0.0011714844,0.0005215143,0.0007336413,0.0027989591],"category_scores_gemma":[0.010869349,0.0002239914,0.00030098515,0.005643158,0.00028292497,0.0013761865,0.00072665716,0.00051248894,0.0017994959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003412816,0.00030455002,0.9360816,0.00015092806,0.00024285523,0.00022727424,0.00041437213,0.017065983,0.0023834328,0.0018527962,0.00567063,0.03526434],"study_design_scores_gemma":[0.00003346136,0.00012466109,0.94574,0.000041137144,0.000056254037,0.00017358921,0.0006905179,0.04016501,0.0025092731,0.0030664026,0.007369378,0.000030187271],"about_ca_topic_score_codex":0.0068341615,"about_ca_topic_score_gemma":0.006851612,"teacher_disagreement_score":0.0068341615,"about_ca_system_score_codex":0.00035568012,"about_ca_system_score_gemma":0.00037747395,"threshold_uncertainty_score":0.0135887265},"labels":[],"label_agreement":null},{"id":"W4395959899","doi":"10.1088/978-0-7503-6244-3ch8","title":"YOLOv7, YOLOv8, YOLOv9 and YOLO-World","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"History; Geography","score_opus":0.04035607993505281,"score_gpt":0.20513863306110433,"score_spread":0.16478255312605153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395959899","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020051958,0.03917507,0.20046352,0.004014487,0.0055867266,0.00037815399,0.06650028,0.04494576,0.618884],"genre_scores_gemma":[0.048720013,0.024160633,0.1616397,0.0016759919,0.0012829313,0.00050451426,0.16914414,0.017709678,0.5751625],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997452,0.00003576094,0.000014737831,0.00007681058,0.00009531576,0.00003210301],"domain_scores_gemma":[0.99949086,0.00011745372,0.00003679983,0.00011172605,0.00018507744,0.00005803904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053209136,0.00094166806,0.00050422415,0.0013287859,0.0003626938,0.0014767098,0.00096933806,0.0005360745,0.070708014],"category_scores_gemma":[0.0018711693,0.00056183233,0.0007196674,0.0017441657,0.00033665722,0.0020528047,0.0010169264,0.0011519514,0.062156048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015588562,0.000059836584,0.0012843859,0.0006064643,0.000027430031,0.000053301785,0.000107808206,0.003005704,0.003460801,0.026259417,0.6414946,0.32348442],"study_design_scores_gemma":[0.000011096391,0.000043653363,0.001778741,0.00011831456,0.000012156601,0.00012475348,0.000045717716,0.0040412443,0.0021171242,0.0061863684,0.98550177,0.000018961586],"about_ca_topic_score_codex":0.006694189,"about_ca_topic_score_gemma":0.013250725,"teacher_disagreement_score":0.070708014,"about_ca_system_score_codex":0.0010426869,"about_ca_system_score_gemma":0.0010980055,"threshold_uncertainty_score":0.23654187},"labels":[],"label_agreement":null},{"id":"W4395961798","doi":"10.18280/jesa.570226","title":"Development and Measurement of Six Capitals in Automotive Parts Manufacturing Companies in Indonesia and Malaysia","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Business; Manufacturing engineering; Engineering","score_opus":0.03878342481956422,"score_gpt":0.23081600241025968,"score_spread":0.19203257759069547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395961798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789105,0.00029975173,0.0041502635,0.0003249724,0.00001040237,0.00022677147,0.00025552054,0.00001720818,0.015804585],"genre_scores_gemma":[0.9961785,0.00011958347,0.0027112346,0.000012912675,0.0000017041975,0.000050878014,0.000115636205,0.0000016155511,0.00080802373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747354,0.0006478849,0.00029754185,0.00019099587,0.001019583,0.00037047378],"domain_scores_gemma":[0.9889755,0.002871667,0.0043925047,0.00041422594,0.0021926723,0.0011533467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026873206,0.00029862876,0.00021461397,0.0041823513,0.0009284432,0.0023155867,0.00055936346,0.00042685436,0.0009942955],"category_scores_gemma":[0.008236055,0.0001819017,0.00024255177,0.0026739761,0.0011854165,0.0021678777,0.0019879397,0.00045846036,0.00014820826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013878488,0.00020415761,0.8570111,0.0002964599,0.000052306852,0.0005906386,0.013356558,0.0029707619,0.0015748283,0.011707981,0.00090446946,0.11119195],"study_design_scores_gemma":[0.000010557836,0.00026592903,0.942064,0.00032676393,0.000037460344,0.00037549518,0.030060247,0.0070613394,0.0043593687,0.00387473,0.011507955,0.0000561323],"about_ca_topic_score_codex":0.006826625,"about_ca_topic_score_gemma":0.010202238,"teacher_disagreement_score":0.006826625,"about_ca_system_score_codex":0.0041076858,"about_ca_system_score_gemma":0.0031975629,"threshold_uncertainty_score":0.029803455},"labels":[],"label_agreement":null},{"id":"W4396594735","doi":"10.2139/ssrn.4814473","title":"Internet Appendix to \"Skilled Labor Uncertainty and Corporate Investment: Evidence from H-1B Visa Lottery Cycles\"","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lottery; Investment (military); Economics; Labour economics; The Internet; Business; Monetary economics; Law; Microeconomics; Political science; Computer science; World Wide Web","score_opus":0.03589446209728205,"score_gpt":0.237468646359838,"score_spread":0.20157418426255594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396594735","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017236995,0.00014004446,0.0012664506,0.0013370274,0.00052529573,0.0005252807,0.9599147,0.0006617973,0.03390579],"genre_scores_gemma":[0.020136567,0.00081020524,0.004846897,0.0014550805,0.0007013153,0.0023962678,0.83914536,0.00047343926,0.13003473],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948466,0.00008027484,0.000100451085,0.000067046945,0.00018930416,0.000078242345],"domain_scores_gemma":[0.98250383,0.009665203,0.0014180174,0.0012321271,0.0044768443,0.0007040506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009500879,0.0007664969,0.0007317007,0.003882252,0.00085254724,0.001167197,0.0019979654,0.0015602256,0.7154425],"category_scores_gemma":[0.014273732,0.0007177284,0.0008694018,0.00644441,0.0002119288,0.0011521232,0.001052176,0.0009618313,0.2971705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058039946,0.00012273461,0.0012298523,0.00024686783,0.000010421711,0.000032345775,0.000025588957,0.00032453504,0.00006247393,0.0016042393,0.98693246,0.009350541],"study_design_scores_gemma":[0.0019385682,0.00032166106,0.07296612,0.001122405,0.000076553195,0.00024573324,0.00066045526,0.002741682,0.0010615657,0.020483999,0.8982659,0.00011539065],"about_ca_topic_score_codex":0.025575299,"about_ca_topic_score_gemma":0.02979405,"teacher_disagreement_score":0.7154425,"about_ca_system_score_codex":0.0009783971,"about_ca_system_score_gemma":0.0022357672,"threshold_uncertainty_score":0.40588677},"labels":[],"label_agreement":null},{"id":"W4398232883","doi":"10.1057/s41599-024-03176-1","title":"Small business development in stabilizing Alberta’s economy (Canada)","year":2024,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economy; Economics","score_opus":0.21542035052959654,"score_gpt":0.25812933758688694,"score_spread":0.0427089870572904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398232883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297625,0.0007467887,0.0010040284,0.0032880192,0.00003115335,0.0001420991,0.001043644,0.000045244942,0.06393644],"genre_scores_gemma":[0.98758566,0.0003789707,0.0011424203,0.00013541216,0.000003925694,0.000017668324,0.00033428895,0.0000031908664,0.010398538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993494,0.00007222274,0.000012237773,0.00003576028,0.00025622602,0.00027407],"domain_scores_gemma":[0.9979126,0.00021112352,0.0001630817,0.000040245162,0.0009820416,0.00069095986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058602984,0.00013389654,0.00010903428,0.0014957571,0.0029595909,0.002110739,0.00064830616,0.0002608332,0.0020957862],"category_scores_gemma":[0.0020426656,0.00006794062,0.000099768644,0.0023704444,0.0010646406,0.00039769107,0.0011441675,0.00035473367,0.00010469851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030631368,0.0002182507,0.5956398,0.00032991506,0.000059925664,0.0025968642,0.01404262,0.01642505,0.0035483183,0.1231242,0.02420194,0.2195067],"study_design_scores_gemma":[0.000021451422,0.00009673234,0.85230005,0.00017135651,0.000026964497,0.00018182969,0.036068555,0.0064574885,0.0015461914,0.004780413,0.09830054,0.000048422917],"about_ca_topic_score_codex":0.9864508,"about_ca_topic_score_gemma":0.99418384,"teacher_disagreement_score":0.05069326,"about_ca_system_score_codex":0.05069326,"about_ca_system_score_gemma":0.07356746,"threshold_uncertainty_score":0.36780703},"labels":[],"label_agreement":null},{"id":"W4400001052","doi":"10.54932/czst7397","title":"Investissement dans les innovations, croissance de la productivité totale des facteurs et commerce international des PME manufacturières québécoises","year":2024,"lang":"fr","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics","score_opus":0.07942430906073204,"score_gpt":0.3015237517720419,"score_spread":0.22209944271130982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400001052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94603235,0.0037479328,0.0012536912,0.0017114877,0.000038426882,0.00006766496,0.0028533135,0.000050388157,0.044244755],"genre_scores_gemma":[0.9233851,0.0030777429,0.002797465,0.00023385389,0.000018782848,0.000063018524,0.0025073923,0.000016619097,0.06789999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989814,0.00014445597,0.00003219461,0.0001516546,0.00046974022,0.00022059512],"domain_scores_gemma":[0.995654,0.00075239333,0.00053516816,0.00016453264,0.0021729819,0.0007208868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017981379,0.00031471628,0.00020350302,0.002806833,0.00084477116,0.0023618462,0.00048048724,0.0004614706,0.005875103],"category_scores_gemma":[0.0040182397,0.00018121996,0.00039251352,0.003827066,0.00071694975,0.0008877525,0.0005545581,0.00061172264,0.0005772958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042035503,0.00016622884,0.73709536,0.00043123157,0.0002339751,0.0002927217,0.0049665826,0.0047700955,0.005076297,0.009372022,0.005780905,0.23139429],"study_design_scores_gemma":[0.000008555193,0.00013517139,0.95835984,0.00017168053,0.0000702385,0.00005959831,0.0022049851,0.0011479338,0.000969908,0.00019577029,0.03665889,0.000017557648],"about_ca_topic_score_codex":0.8177744,"about_ca_topic_score_gemma":0.9079966,"teacher_disagreement_score":0.18222558,"about_ca_system_score_codex":0.01997906,"about_ca_system_score_gemma":0.015915882,"threshold_uncertainty_score":0.36659747},"labels":[],"label_agreement":null},{"id":"W4400119877","doi":"10.1257/mac.20200447","title":"Reassessing the Relevance of Financial Shocks in an Estimated Heterogeneous Firm Model","year":2024,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Relevance (law); Economics; Business; Finance; Political science","score_opus":0.03194877862661737,"score_gpt":0.2781287110743861,"score_spread":0.2461799324477687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400119877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86236143,0.0011787761,0.10965343,0.008701504,0.00025699698,0.00010700373,0.0011287548,0.0003145808,0.016297577],"genre_scores_gemma":[0.9939958,0.00034593532,0.0023484554,0.0003138546,0.00007336341,0.000026400829,0.00019160516,0.000024181474,0.0026803913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990921,0.00048353744,0.00005418289,0.00016244569,0.00007078679,0.00013698854],"domain_scores_gemma":[0.98572993,0.011170475,0.0017641318,0.000581445,0.00043584988,0.00031815708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003883451,0.00073397666,0.001657142,0.00073108065,0.0006444443,0.0034681552,0.0016483951,0.002679279,0.0040605483],"category_scores_gemma":[0.019912496,0.0005444003,0.000873037,0.0009693571,0.0010870761,0.0029796653,0.0013680955,0.003232392,0.00033209258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013643438,0.00010829635,0.011096401,0.000078504956,0.00013308896,0.0005577394,0.00020078188,0.9155668,0.00048038733,0.06589269,0.0018250739,0.003923751],"study_design_scores_gemma":[0.00006118586,0.000049801336,0.0017029538,0.000018063012,0.000049190396,0.000033242424,0.00011639563,0.97901,0.00011075008,0.01841351,0.00040898068,0.000025967116],"about_ca_topic_score_codex":0.024377191,"about_ca_topic_score_gemma":0.012339453,"teacher_disagreement_score":0.024377191,"about_ca_system_score_codex":0.001489589,"about_ca_system_score_gemma":0.00095232646,"threshold_uncertainty_score":0.048470616},"labels":[],"label_agreement":null},{"id":"W4400163453","doi":"10.1787/f3cb39f2-en","title":"The contribution of FDI to diversity and inclusion in the labour market","year":2024,"lang":"en","type":"book-chapter","venue":"OECD eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Foreign direct investment; Economic geography; Labour economics; Economics; Political science; Sociology; Social science; Macroeconomics","score_opus":0.01911412196231822,"score_gpt":0.19892177060141203,"score_spread":0.17980764863909382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400163453","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18904302,0.025308428,0.0011082987,0.026543362,0.00038223783,0.00003310058,0.00018621144,0.000021727463,0.75737363],"genre_scores_gemma":[0.9089587,0.016975794,0.00056590175,0.001256383,0.00032047328,0.000017126973,0.000119190016,0.00001238967,0.07177387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979341,0.00028248367,0.000024044495,0.00007392515,0.0005576272,0.001127889],"domain_scores_gemma":[0.99863297,0.0004178208,0.000106319414,0.00005434704,0.00040422688,0.00038428736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012999332,0.00019318775,0.00022617416,0.0018803647,0.0038577374,0.004828908,0.00042900417,0.00057860714,0.0036963318],"category_scores_gemma":[0.0025621539,0.00009236756,0.00023509211,0.0024746186,0.0042170635,0.001665346,0.0034167205,0.0015141164,0.00027672615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051182793,0.00004309152,0.021247985,0.0001592872,0.000019462123,0.0004885056,0.016914554,0.0016232191,0.000446614,0.72593796,0.014988533,0.21807957],"study_design_scores_gemma":[0.000015417852,0.000053211857,0.11276651,0.0012461169,0.000029697438,0.000609401,0.024872063,0.0011205991,0.0005593821,0.16119383,0.69748515,0.00004863016],"about_ca_topic_score_codex":0.36533698,"about_ca_topic_score_gemma":0.46861982,"teacher_disagreement_score":0.36533698,"about_ca_system_score_codex":0.01550158,"about_ca_system_score_gemma":0.014437948,"threshold_uncertainty_score":0.726421},"labels":[],"label_agreement":null},{"id":"W4400244926","doi":"10.3917/arma.327.0040","title":"Le transfert de technologie made in Québec","year":2019,"lang":"en","type":"article","venue":"Archimag.com.","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.018664368017962417,"score_gpt":0.19922610788006892,"score_spread":0.1805617398621065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400244926","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5498913,0.014126149,0.003793607,0.014834757,0.00086099154,0.00014145242,0.013828803,0.00042538258,0.40209752],"genre_scores_gemma":[0.7291019,0.0037681214,0.0010875977,0.0004837111,0.00008068943,0.000026842114,0.0016891841,0.00005417103,0.2637079],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898154,0.00010918919,0.000035198853,0.000119419965,0.00047275386,0.00028177898],"domain_scores_gemma":[0.99838316,0.00031222848,0.00014394509,0.000084854015,0.00078847306,0.00028742582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067030353,0.00028216772,0.00029147396,0.0015756111,0.001744438,0.0026548607,0.00047167856,0.00078535,0.022380546],"category_scores_gemma":[0.002240383,0.00017136734,0.0004638324,0.0023395768,0.000788193,0.0007630926,0.0006042151,0.0015592403,0.0015817417],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009834389,0.0002882176,0.14358005,0.0009182994,0.0002678374,0.0044527366,0.003749351,0.019768544,0.010602175,0.1462891,0.119053364,0.5500468],"study_design_scores_gemma":[0.00008869972,0.00011713412,0.39166746,0.000352528,0.000050099767,0.0004842954,0.0013302594,0.0062560365,0.002888544,0.0014375785,0.59525436,0.00007298794],"about_ca_topic_score_codex":0.9779204,"about_ca_topic_score_gemma":0.9798607,"teacher_disagreement_score":0.9564659,"about_ca_system_score_codex":0.043534078,"about_ca_system_score_gemma":0.028482547,"threshold_uncertainty_score":0.3158633},"labels":[],"label_agreement":null},{"id":"W4400266024","doi":"10.1007/s11123-024-00727-1","title":"Innovation strategies and firm performance","year":2024,"lang":"en","type":"article","venue":"Journal of Productivity Analysis","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Industrial organization; Business; Data envelopment analysis; Product innovation; Product (mathematics); Panel data; Set (abstract data type); Perspective (graphical); Process (computing); Innovation process; Marketing; New product development; Economics; Econometrics; Computer science; Work in process","score_opus":0.033183283166654615,"score_gpt":0.24183927339409722,"score_spread":0.2086559902274426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400266024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99187523,0.000546895,0.0010449183,0.00020062219,0.000008202596,0.000017019107,0.0009252137,0.000030355297,0.005351566],"genre_scores_gemma":[0.9991861,0.000053710788,0.000093360235,0.0000072937896,0.0000070603955,0.0000057904795,0.000394838,0.000002243741,0.0002495347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737394,0.0007715744,0.0003069275,0.0003932394,0.00060182845,0.0005525443],"domain_scores_gemma":[0.95051074,0.027043423,0.014462531,0.0019467345,0.0032611636,0.002775453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035989662,0.00034428015,0.0004042489,0.0029803682,0.00027572512,0.0029000896,0.00044133118,0.00096502196,0.0032225149],"category_scores_gemma":[0.02108009,0.00013301491,0.00043204482,0.0038558417,0.00060528744,0.0018615864,0.0012782948,0.00068705645,0.0009792928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101795405,0.00028747084,0.9556888,0.000087456705,0.0004019574,0.00012522495,0.00020819166,0.020594923,0.0008779804,0.0027127767,0.0008216212,0.01809186],"study_design_scores_gemma":[0.000012694322,0.00040052127,0.9745602,0.000040736002,0.0000697839,0.000116376556,0.0005731772,0.017147882,0.0013926052,0.0038476777,0.0018032638,0.000034934084],"about_ca_topic_score_codex":0.0014558412,"about_ca_topic_score_gemma":0.0009468641,"teacher_disagreement_score":0.0035989662,"about_ca_system_score_codex":0.0010866564,"about_ca_system_score_gemma":0.00047049174,"threshold_uncertainty_score":0.019033432},"labels":[],"label_agreement":null},{"id":"W4400389140","doi":"10.1108/jal-07-2023-0127","title":"The impact of industrial robot uses on the labor cost stickiness of Chinese firms","year":2024,"lang":"en","type":"article","venue":"Journal of Accounting Literature","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Labor cost; Flexibility (engineering); Robot; Industrial organization; Investment (military); Labour economics; Business; China; Automation; Economics; Engineering; Computer science; Artificial intelligence; Management","score_opus":0.029919041544906832,"score_gpt":0.27295605430230857,"score_spread":0.24303701275740175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400389140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867576,0.00006822258,0.00010620662,0.00006577867,0.0000018325428,0.00001121796,0.000114778595,0.000004150174,0.0009520363],"genre_scores_gemma":[0.99960285,0.00003448639,0.00003963337,0.00000837615,0.0000026917783,0.000004473994,0.00007985564,7.891047e-7,0.00022680197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998833,0.00015405621,0.00013071926,0.00018309255,0.00040791315,0.00029114174],"domain_scores_gemma":[0.99110293,0.0015003639,0.005313173,0.0004419051,0.00075794774,0.0008837807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010116416,0.00025863742,0.00021596815,0.0022428264,0.00078225526,0.0013038227,0.00045785657,0.0002416884,0.0029872283],"category_scores_gemma":[0.0043877764,0.00014643576,0.00031535362,0.002625125,0.00080812944,0.00058285915,0.0008358585,0.00033849408,0.00017662013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003134398,0.000045626453,0.9905501,0.000024490535,0.000037177586,0.00011744229,0.0005512815,0.000551858,0.00019887027,0.00031818016,0.00016193978,0.007411829],"study_design_scores_gemma":[0.0000012691117,0.000025834051,0.99866104,0.0000046568907,0.000008850712,0.000008584019,0.00040090428,0.0005956104,0.000055563385,0.00005635878,0.00017754968,0.0000037009506],"about_ca_topic_score_codex":0.05553115,"about_ca_topic_score_gemma":0.061565474,"teacher_disagreement_score":0.05553115,"about_ca_system_score_codex":0.0028773462,"about_ca_system_score_gemma":0.001592656,"threshold_uncertainty_score":0.11041582},"labels":[],"label_agreement":null},{"id":"W4400443601","doi":"10.5465/amproc.2024.16610abstract","title":"Digitalization and Joint Venture Survival: An Information Processing View and Evidence","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Joint venture; Joint (building); Business; Business administration; Engineering","score_opus":0.0642414060482911,"score_gpt":0.2654009901877115,"score_spread":0.20115958413942042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400443601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81155473,0.034718484,0.018057268,0.017543167,0.00013873559,0.00012511385,0.000756841,0.00004963896,0.117056094],"genre_scores_gemma":[0.9855677,0.011445662,0.0014026045,0.0003994637,0.00015022236,0.000020790445,0.0001424966,0.0000053465205,0.00086565374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973532,0.0010141248,0.00022923318,0.0004964704,0.0006491017,0.00025784638],"domain_scores_gemma":[0.89395434,0.075578436,0.020532064,0.0053460477,0.0032609408,0.0013281202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005565373,0.00033892886,0.00043374044,0.0043846504,0.00077961676,0.0061128186,0.0008260687,0.0011026347,0.009321868],"category_scores_gemma":[0.03422546,0.00024477646,0.0004631692,0.0043951483,0.005789692,0.00866809,0.0028771372,0.0014992837,0.0005142949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010590501,0.0006664765,0.4273673,0.0017885787,0.00059610244,0.0009744715,0.005071846,0.0033648906,0.0008854705,0.22008336,0.0018024372,0.33634004],"study_design_scores_gemma":[0.0002012038,0.0011494056,0.4826804,0.0029786031,0.000858332,0.0023862072,0.019075457,0.007853482,0.005002616,0.42593458,0.05170062,0.00017917278],"about_ca_topic_score_codex":0.0014219311,"about_ca_topic_score_gemma":0.00083955313,"teacher_disagreement_score":0.009321868,"about_ca_system_score_codex":0.00109188,"about_ca_system_score_gemma":0.00086300855,"threshold_uncertainty_score":0.031184733},"labels":[],"label_agreement":null},{"id":"W4400445553","doi":"10.5465/amproc.2024.19507abstract","title":"How to Turn Crises into Opportunities? The Effect of Uncertainty on Entrepreneurial Overconfidence","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Overconfidence effect; Turn (biochemistry); Economics; Business; Psychology; Social psychology; Chemistry","score_opus":0.048703460774433605,"score_gpt":0.26393065985010783,"score_spread":0.21522719907567422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400445553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953566,0.00012058697,0.0003202752,0.00063785573,0.000010363319,0.0000053707513,0.000015458863,0.0000033599463,0.003530131],"genre_scores_gemma":[0.99968886,0.000058992377,0.000069139314,0.00005536417,0.0000055552478,0.0000022684223,0.0000066781136,0.0000011423881,0.00011203672],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767596,0.0013584645,0.000116768664,0.00017605464,0.00030107494,0.00037177725],"domain_scores_gemma":[0.9605612,0.026612202,0.0070221615,0.0010362213,0.0012918508,0.0034762917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037487883,0.00014606856,0.00025334157,0.00053987803,0.0006525164,0.0029623401,0.00033845278,0.0009095117,0.0027238503],"category_scores_gemma":[0.04318697,0.00016606823,0.0003056396,0.0003476905,0.0010280195,0.0017252071,0.0013715501,0.0014589633,0.00021042852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016309083,0.0011066167,0.8898478,0.000096966214,0.00019069368,0.00081531226,0.011280701,0.0039612427,0.0020697163,0.007209705,0.0009461568,0.08084413],"study_design_scores_gemma":[0.00011860714,0.00084173214,0.91839045,0.0001681239,0.0001505309,0.0004937192,0.034702286,0.010152923,0.0020063287,0.029337516,0.0035457853,0.00009203174],"about_ca_topic_score_codex":0.0020492736,"about_ca_topic_score_gemma":0.0015651255,"teacher_disagreement_score":0.0037487883,"about_ca_system_score_codex":0.00047118604,"about_ca_system_score_gemma":0.0005270507,"threshold_uncertainty_score":0.019825757},"labels":[],"label_agreement":null},{"id":"W4400636320","doi":"10.1787/9789264273467-table16-en","title":"Employment and employment weight by firm size in the Canadian business sector, 2010-15","year":2017,"lang":"en","type":"other","venue":"OECD studies on SMEs and entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Labour economics; Demographic economics; Economics","score_opus":0.05381393910462261,"score_gpt":0.25171918912244534,"score_spread":0.19790525001782272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400636320","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6128992,0.01220689,0.00027461315,0.0040884498,0.00021687473,0.00010569766,0.335265,0.00021680059,0.034726568],"genre_scores_gemma":[0.8652365,0.007330061,0.00033504763,0.0003407597,0.0000756016,0.000048386682,0.0909793,0.0000676555,0.035586692],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987766,0.000035149937,0.0000750681,0.000099843164,0.00054344,0.00047002523],"domain_scores_gemma":[0.99433964,0.00020919483,0.0008099665,0.00012777938,0.0033060831,0.0012073761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011487817,0.0006227422,0.00043105875,0.0063451594,0.0021986093,0.0019801974,0.0019463393,0.00061347155,0.008290132],"category_scores_gemma":[0.0049837236,0.0003466359,0.0012530133,0.016999384,0.00075865665,0.0010297524,0.0013865841,0.0009819176,0.0013128421],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022791138,0.000074214324,0.90288484,0.00020016248,0.0002106668,0.00011975065,0.00096773193,0.00086737785,0.00011337872,0.0017812286,0.06862717,0.023925608],"study_design_scores_gemma":[0.0000068871987,0.000008146554,0.98503464,0.00008538057,0.000043333886,0.000028520033,0.0011369385,0.00032375348,0.00007293653,0.00008124229,0.013160843,0.00001746633],"about_ca_topic_score_codex":0.9980307,"about_ca_topic_score_gemma":0.99912935,"teacher_disagreement_score":0.03317075,"about_ca_system_score_codex":0.03317075,"about_ca_system_score_gemma":0.0613973,"threshold_uncertainty_score":0.24067175},"labels":[],"label_agreement":null},{"id":"W4400636524","doi":"10.1787/9789264273467-graph14-en","title":"Change in the number of enterprises across three main sectors in Canada, 2008-12","year":2017,"lang":"en","type":"other","venue":"OECD studies on SMEs and entrepreneurship","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Geography","score_opus":0.08186012828173587,"score_gpt":0.29337188434186867,"score_spread":0.21151175606013278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400636524","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73235977,0.0052972534,0.00031842786,0.004805319,0.00015371125,0.00008990566,0.2335321,0.00028367215,0.023159768],"genre_scores_gemma":[0.88939524,0.003522401,0.0005764267,0.00048577736,0.000043126867,0.000053366475,0.060906053,0.000053377214,0.044964224],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986526,0.000039860945,0.00007022069,0.00015717467,0.00044163238,0.0006384232],"domain_scores_gemma":[0.9950938,0.00017968264,0.00067970896,0.000067953915,0.002937886,0.0010409429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000619029,0.00046460706,0.00050804124,0.00406327,0.00206321,0.002525033,0.001594713,0.0008312299,0.0054410137],"category_scores_gemma":[0.002990863,0.000339079,0.0007924345,0.009922688,0.00074297714,0.0010747387,0.0016203977,0.0010930123,0.0009874075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041627834,0.0001091389,0.88073,0.0003659431,0.00024968732,0.00034716105,0.001956858,0.0015486542,0.00030447298,0.0032352398,0.077454835,0.033281725],"study_design_scores_gemma":[0.000009442423,0.000011580082,0.98292255,0.0000726951,0.00003094584,0.000052958378,0.0022896922,0.0005459602,0.00015730619,0.00006639897,0.013821681,0.000018857085],"about_ca_topic_score_codex":0.9975249,"about_ca_topic_score_gemma":0.99856275,"teacher_disagreement_score":0.039157495,"about_ca_system_score_codex":0.039157495,"about_ca_system_score_gemma":0.0649498,"threshold_uncertainty_score":0.28410882},"labels":[],"label_agreement":null},{"id":"W4400833975","doi":"10.1111/caje.12727","title":"Technology market, product market and aggregate innovation","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Aggregate (composite); Product market; Product (mathematics); Industrial organization; Microeconomics","score_opus":0.08517217839292669,"score_gpt":0.17832261779622677,"score_spread":0.09315043940330008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400833975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9238851,0.0011227713,0.021738373,0.0020943626,0.000021834801,0.000055098546,0.00034935836,0.00010958731,0.0506235],"genre_scores_gemma":[0.99704474,0.00017914225,0.0006505032,0.000043110333,0.000018989698,0.000016017333,0.0000377822,0.0000049060527,0.0020047203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995376,0.00015257065,0.000013838605,0.00007231381,0.0000979713,0.00012576513],"domain_scores_gemma":[0.9922426,0.0052137426,0.001512536,0.00026979327,0.00037086263,0.0003906274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014923931,0.00026064404,0.00073860487,0.0013277024,0.0004936097,0.0024136135,0.00039194236,0.0011745885,0.008975206],"category_scores_gemma":[0.005360903,0.0001466999,0.00061120314,0.0011076186,0.0017426984,0.0037782213,0.0011227181,0.00097481254,0.00041469943],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032633913,0.00048619194,0.03280738,0.00022128673,0.00021532488,0.00042727415,0.00025789638,0.2371115,0.0073288386,0.696606,0.0025810676,0.021630917],"study_design_scores_gemma":[0.0001443052,0.00036525374,0.053290933,0.000051735045,0.00011369826,0.00022559712,0.0006483465,0.3415494,0.003205591,0.5937838,0.006553634,0.00006768262],"about_ca_topic_score_codex":0.0028991867,"about_ca_topic_score_gemma":0.0024162405,"teacher_disagreement_score":0.008975206,"about_ca_system_score_codex":0.002405155,"about_ca_system_score_gemma":0.0007864277,"threshold_uncertainty_score":0.030025065},"labels":[],"label_agreement":null},{"id":"W4400900676","doi":"10.1111/caje.12732","title":"Multi‐plant firms and the heavy tail of firm size distribution","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Business; Industrial organization; Mathematics; Mathematical analysis","score_opus":0.09303516572937663,"score_gpt":0.17575995026917934,"score_spread":0.08272478453980271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400900676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894762,0.00022986246,0.005823587,0.0003434208,0.0000070985707,0.000009603541,0.00025630026,0.00006219271,0.0037917492],"genre_scores_gemma":[0.99956244,0.0000225169,0.00010597114,0.000014774311,0.000007431513,0.0000011723271,0.000056281602,0.0000032859605,0.0002261785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992944,0.00016364877,0.000037311704,0.00018949062,0.00015493497,0.0001601171],"domain_scores_gemma":[0.96545494,0.021013128,0.0082210405,0.0026731458,0.0011914899,0.0014461774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018268836,0.00011777817,0.00041917973,0.001382999,0.00043182864,0.0014776792,0.00042750363,0.00065957784,0.007962612],"category_scores_gemma":[0.012625698,0.00017185758,0.00028610788,0.0012497284,0.0015722698,0.001235189,0.00088658347,0.0007654637,0.00055803056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030361314,0.000093009745,0.9299114,0.000078005105,0.00017611442,0.0008204915,0.0009214343,0.009106902,0.004994455,0.02216423,0.0020657138,0.029364618],"study_design_scores_gemma":[0.000016841443,0.00008176345,0.9524475,0.000023470857,0.000031262545,0.00039364156,0.0006541369,0.016572414,0.0011317027,0.02733768,0.0012815754,0.000028083547],"about_ca_topic_score_codex":0.0027676339,"about_ca_topic_score_gemma":0.0026144797,"teacher_disagreement_score":0.007962612,"about_ca_system_score_codex":0.0005952016,"about_ca_system_score_gemma":0.00019597064,"threshold_uncertainty_score":0.026637614},"labels":[],"label_agreement":null},{"id":"W4401226221","doi":"10.1007/s12134-024-01181-6","title":"The Impact of Input in Scientific Research and Experimental Development on the Survival of Immigrant Firms in Canada","year":2024,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Social Sciences and Humanities Research Council","keywords":"Immigration; Workforce; Prosperity; Diversity (politics); Human capital; Demographic economics; Business; Closure (psychology); Capital (architecture); Labour economics; Economics; Economic growth; Political science; Geography; Market economy","score_opus":0.05034880209119393,"score_gpt":0.3216646817686708,"score_spread":0.2713158796774769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401226221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876845,0.0007943941,0.00006789193,0.0041705365,0.000025972615,0.00002062538,0.0004785754,0.000012311444,0.0067451345],"genre_scores_gemma":[0.995955,0.00039734342,0.00006399082,0.00027494424,0.000010090031,0.000006514756,0.00017346434,0.0000044230537,0.0031142307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955129,0.0007662907,0.00015309495,0.0002476748,0.00080154155,0.0025184755],"domain_scores_gemma":[0.9577297,0.008425352,0.004690707,0.0010273639,0.012270546,0.015856348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004097115,0.00021095264,0.00046468386,0.0020778705,0.0053514526,0.004917375,0.0018927508,0.0017915325,0.007002731],"category_scores_gemma":[0.016915461,0.00018699568,0.00044221088,0.0028202073,0.0034913984,0.0009347934,0.0032113728,0.0020261575,0.00037058562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001377337,0.0005460279,0.9232862,0.00016656038,0.00014102914,0.0010032292,0.0072227414,0.0014419764,0.0014591005,0.011679029,0.0057105175,0.045966372],"study_design_scores_gemma":[0.00009155474,0.00017158446,0.96621823,0.00020469043,0.00007646111,0.00016473082,0.019371433,0.0012939499,0.0006964211,0.0009856571,0.010671107,0.00005417682],"about_ca_topic_score_codex":0.9686593,"about_ca_topic_score_gemma":0.9859925,"teacher_disagreement_score":0.06347747,"about_ca_system_score_codex":0.06347747,"about_ca_system_score_gemma":0.15197338,"threshold_uncertainty_score":0.46056342},"labels":[],"label_agreement":null},{"id":"W4401405731","doi":"10.33423/jabe.v26i3.7137","title":"Blocked Pipes: The Economic Consequence of Skilled Worker Shortages","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Economics; Panel data; Labour economics; Ordinary least squares; Regression analysis; Random effects model; Value (mathematics); Econometrics; Government (linguistics)","score_opus":0.016255509019161216,"score_gpt":0.20625509703731013,"score_spread":0.18999958801814892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401405731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830828,0.00100907,0.0020104223,0.003653499,0.000044085118,0.000019357747,0.0016222658,0.00006428904,0.0084942505],"genre_scores_gemma":[0.99666,0.00057075097,0.0001965037,0.00021291152,0.00004815268,0.0000049259224,0.00048183807,0.0000079741485,0.0018170804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995616,0.00010186579,0.000025187452,0.00006207957,0.00013215556,0.000117136944],"domain_scores_gemma":[0.9961054,0.00085784186,0.0022802586,0.00014565866,0.00031097414,0.00029983168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006846354,0.00014971672,0.00023834595,0.000825927,0.00044365198,0.00093250803,0.0004606149,0.0008194119,0.007479466],"category_scores_gemma":[0.0039012418,0.00025530928,0.00029557446,0.0009265313,0.0006253312,0.0009855152,0.0011739798,0.0009575804,0.00080346665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008088022,0.0003581545,0.88571054,0.00029983348,0.00014403698,0.0034702753,0.0012035515,0.010341242,0.0024220971,0.0071890275,0.017560957,0.070491455],"study_design_scores_gemma":[0.00006280318,0.0003646628,0.9558386,0.0001741177,0.00010779,0.0014978866,0.0043724827,0.009481505,0.0012465562,0.0152554605,0.011558848,0.000039316816],"about_ca_topic_score_codex":0.010883631,"about_ca_topic_score_gemma":0.016367305,"teacher_disagreement_score":0.010883631,"about_ca_system_score_codex":0.00091866433,"about_ca_system_score_gemma":0.0007220109,"threshold_uncertainty_score":0.025021255},"labels":[],"label_agreement":null},{"id":"W4401469549","doi":"10.1515/9782763742793-006","title":"Histoire d’un génome 2.0 : 25 ans de recherches sur l’effet fondateur québécois","year":2019,"lang":"fr","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.06844490908685487,"score_gpt":0.22249053470281457,"score_spread":0.1540456256159597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401469549","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060370598,0.29149643,0.061000407,0.18526809,0.027762383,0.00024677394,0.03473937,0.0029545242,0.3361615],"genre_scores_gemma":[0.24667433,0.10952282,0.06562328,0.02877843,0.0025912896,0.00036639968,0.011625655,0.0028751402,0.53194267],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991032,0.00016150692,0.000021448663,0.00016817541,0.00036720943,0.00017850609],"domain_scores_gemma":[0.9976736,0.00080058846,0.00007600619,0.00019026961,0.0010123716,0.0002472616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045106555,0.00075147854,0.0007736072,0.002874121,0.003071904,0.003871779,0.0009783715,0.0019371877,0.017608201],"category_scores_gemma":[0.004709702,0.0005027911,0.0009315849,0.003975575,0.002831292,0.0018856379,0.0008439557,0.0026654457,0.0020886331],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045022147,0.00005287971,0.0058270846,0.00065076514,0.00021058171,0.0007226559,0.00416327,0.0019311786,0.013239501,0.16923082,0.4536352,0.34988588],"study_design_scores_gemma":[0.000019372175,0.000024170045,0.015670504,0.00038326927,0.000054222168,0.00026124244,0.0004354558,0.00039316263,0.002248041,0.010548176,0.9698939,0.00006850489],"about_ca_topic_score_codex":0.7818953,"about_ca_topic_score_gemma":0.82680094,"teacher_disagreement_score":0.21810472,"about_ca_system_score_codex":0.017963981,"about_ca_system_score_gemma":0.019371703,"threshold_uncertainty_score":0.43877834},"labels":[],"label_agreement":null},{"id":"W4401883862","doi":"10.2139/ssrn.4915780","title":"Scalable vs. Productive Technologies *","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Scalability; Computer science; Operating system","score_opus":0.012645530301534301,"score_gpt":0.21229539425931632,"score_spread":0.199649863957782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401883862","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30664858,0.019421147,0.08776142,0.018931312,0.0012330734,0.00017340573,0.0018199293,0.00039068682,0.56362045],"genre_scores_gemma":[0.9794287,0.0038818195,0.003268084,0.000543852,0.00063895056,0.000056995577,0.00016260703,0.00006859818,0.011950388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983134,0.00044494797,0.00010656115,0.00035053433,0.0005050059,0.0002796783],"domain_scores_gemma":[0.97949755,0.0141923865,0.002942634,0.0018685639,0.00079785025,0.0007010387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024990435,0.0004962835,0.0005613768,0.0015636338,0.0007283953,0.005645711,0.00077826803,0.0020142319,0.041527845],"category_scores_gemma":[0.014174185,0.00022653953,0.0006575653,0.0019447994,0.0029447062,0.011061942,0.001872109,0.0020472158,0.003057215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013821165,0.0000690467,0.0033544858,0.00042268002,0.00004496049,0.00007986491,0.00019515146,0.004330731,0.0008340596,0.9354269,0.0032878777,0.051816113],"study_design_scores_gemma":[0.000060013263,0.00023090366,0.006062723,0.00022728546,0.00007673405,0.00020924506,0.00052320346,0.00741453,0.0014240181,0.96536016,0.018391147,0.00002004721],"about_ca_topic_score_codex":0.0006267474,"about_ca_topic_score_gemma":0.0008151679,"teacher_disagreement_score":0.041527845,"about_ca_system_score_codex":0.0012088502,"about_ca_system_score_gemma":0.000779713,"threshold_uncertainty_score":0.13892448},"labels":[],"label_agreement":null},{"id":"W4402442179","doi":"10.69554/vntn7431","title":"Crossed signals: The negative effects of manufacturer warranty length on brand share in an independent retail channel","year":2024,"lang":"en","type":"article","venue":"Applied marketing analytics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Warranty; Business; Channel (broadcasting); Advertising; Marketing; Telecommunications; Computer science","score_opus":0.02778422514719623,"score_gpt":0.23570678981694246,"score_spread":0.20792256466974623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402442179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712807,0.000058064245,0.00043894176,0.00019281462,0.000008228141,0.000011786762,0.000059421818,0.00001281033,0.0020897985],"genre_scores_gemma":[0.9989152,0.00002558753,0.0001318065,0.000049702016,0.000011559907,0.000005805672,0.00004056649,0.0000050782573,0.0008146296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99575365,0.0016452746,0.00019575233,0.00065780367,0.0012060499,0.0005415147],"domain_scores_gemma":[0.820311,0.13290763,0.032545835,0.004764302,0.004681164,0.0047900723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046508103,0.00028688335,0.0005638591,0.0012842366,0.0008510975,0.0029558295,0.00084863976,0.001610766,0.008753696],"category_scores_gemma":[0.06146218,0.0003340164,0.0006431316,0.001084805,0.0016931309,0.0036201836,0.002229899,0.0022831648,0.00063689344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011176645,0.003583402,0.8692132,0.00023277214,0.00054229744,0.0017693236,0.0048892074,0.014480388,0.016104324,0.008163758,0.0021840213,0.06766056],"study_design_scores_gemma":[0.00020898986,0.0035755779,0.95494765,0.00007907496,0.00057030655,0.0003762704,0.004719736,0.02311393,0.00495347,0.0057310183,0.001553932,0.00016995228],"about_ca_topic_score_codex":0.00982298,"about_ca_topic_score_gemma":0.009698931,"teacher_disagreement_score":0.00982298,"about_ca_system_score_codex":0.0016801049,"about_ca_system_score_gemma":0.0011572571,"threshold_uncertainty_score":0.029284},"labels":[],"label_agreement":null},{"id":"W4402516503","doi":"10.5325/jafrideve.25.2.0237","title":"International Standards Certification and Firms’ Performance: A Study of Three West African Countries","year":2024,"lang":"en","type":"article","venue":"Journal of African Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"March of Dimes Canada","funders":"","keywords":"Certification; Business; Accounting; Economics; Management","score_opus":0.03396104712683065,"score_gpt":0.24468490405418372,"score_spread":0.21072385692735307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402516503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991334,0.00019922278,0.00003974698,0.00005808461,0.0000019156491,0.000007769271,0.00012753371,4.7229432e-7,0.00043190227],"genre_scores_gemma":[0.9993137,0.00020715974,0.000058420945,0.000019207284,0.0000028909558,0.000006731386,0.00023404085,6.747708e-7,0.00015726595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995177,0.0001583734,0.000038825696,0.000058215774,0.000056546403,0.00017032892],"domain_scores_gemma":[0.9965611,0.0007669831,0.0018559521,0.00012816685,0.00030635056,0.00038133652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013253355,0.00030461504,0.00034828106,0.0018426024,0.0010073252,0.0014308372,0.0002547396,0.00043769684,0.0012519617],"category_scores_gemma":[0.0025090422,0.00023355057,0.0003776093,0.0043159826,0.00063835894,0.0008194498,0.0010825967,0.0006154173,0.00020506787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007076382,0.0002561001,0.9897071,0.000051030547,0.00006675605,0.0004321572,0.003124963,0.00028268056,0.00022800814,0.0006973539,0.0003850462,0.004697995],"study_design_scores_gemma":[0.000009862094,0.00007457477,0.9887849,0.000060443886,0.000042282998,0.00010997205,0.008888384,0.00027380124,0.00022154751,0.00009385224,0.0014327692,0.000007642181],"about_ca_topic_score_codex":0.023127398,"about_ca_topic_score_gemma":0.03058887,"teacher_disagreement_score":0.023127398,"about_ca_system_score_codex":0.0006948834,"about_ca_system_score_gemma":0.0007488971,"threshold_uncertainty_score":0.04598558},"labels":[],"label_agreement":null},{"id":"W4402970765","doi":"10.2139/ssrn.4972301","title":"Does Telework Challenge Firm Location Theories? A Micro-Spatial Analysis of Knowledge-Intensive Business Services (KIBS)","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"","keywords":"Business; Knowledge management; Industrial organization; Dynamic capabilities; Marketing; Computer science","score_opus":0.010696580415269327,"score_gpt":0.23367018273862358,"score_spread":0.22297360232335425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402970765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97697645,0.0008935836,0.00933513,0.0030600745,0.000020823096,0.000021600763,0.0006109317,0.000040891286,0.009040493],"genre_scores_gemma":[0.997232,0.00027333468,0.0005586148,0.000042568565,0.000024295536,0.0000075122357,0.00012821157,0.000009654994,0.0017237632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936455,0.00019548791,0.000029903118,0.00010725183,0.00010862573,0.00019412002],"domain_scores_gemma":[0.985121,0.009609365,0.0030029076,0.0007228151,0.0007418066,0.0008019626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012181278,0.00019036922,0.0005420749,0.0020262925,0.0008880063,0.0036234653,0.0010642903,0.0011060475,0.0157631],"category_scores_gemma":[0.01009558,0.00023582374,0.00075809186,0.00554833,0.0018804416,0.004215528,0.0017522092,0.00087743567,0.00095823244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006629822,0.00037015963,0.61918,0.00028666723,0.0003177071,0.0013187212,0.0048430744,0.04858734,0.0010055637,0.23855977,0.0061437786,0.078724116],"study_design_scores_gemma":[0.00013115162,0.000518392,0.5611745,0.00027295024,0.00046021232,0.0006714902,0.037022408,0.14118567,0.0017489094,0.23584571,0.020864706,0.000103967875],"about_ca_topic_score_codex":0.031685274,"about_ca_topic_score_gemma":0.03335048,"teacher_disagreement_score":0.031685274,"about_ca_system_score_codex":0.0019290607,"about_ca_system_score_gemma":0.0012092118,"threshold_uncertainty_score":0.06300169},"labels":[],"label_agreement":null},{"id":"W4403118279","doi":"10.18374/jabe-24-3.2","title":"DID THE GREAT RECESSION CHANGE THE CORPORATE BORROWING PATTERN? A STUDY BASED ON CANADIAN FIRMS.","year":2024,"lang":"en","type":"article","venue":"Journal of Academy of Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Recession; Great recession; Business; Economics; Financial system; Keynesian economics","score_opus":0.10154306977152379,"score_gpt":0.24688065947666887,"score_spread":0.1453375897051451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403118279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263823,0.0006383075,0.000031806172,0.0007871945,0.00000641274,0.000014909328,0.002437197,0.0000020208508,0.0034439364],"genre_scores_gemma":[0.9962041,0.0006558832,0.000041492964,0.00014688986,0.000006198452,0.0000068012114,0.0018750107,0.0000021020119,0.0010615255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994974,0.000033176064,0.000018250397,0.000060187755,0.00014988956,0.00024108739],"domain_scores_gemma":[0.99722266,0.00031019232,0.000908388,0.000109081695,0.0008429538,0.0006067904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008025955,0.00022881888,0.00023680342,0.0014718993,0.0021348137,0.0013865115,0.00064746797,0.00038327277,0.0024260497],"category_scores_gemma":[0.0034984697,0.00022536844,0.00035125102,0.004615148,0.00069701934,0.00060804,0.0006651864,0.0007290255,0.00024370571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007065909,0.000053538846,0.9892295,0.000023174529,0.000039058024,0.00013686219,0.0023905963,0.00011999963,0.00015255275,0.00044246134,0.002106191,0.0052354517],"study_design_scores_gemma":[0.0000027392227,0.000007092073,0.9964551,0.000015610962,0.000009697598,0.000016984888,0.0017832778,0.000094971554,0.000022619784,0.000015432917,0.001571151,0.0000054484312],"about_ca_topic_score_codex":0.991621,"about_ca_topic_score_gemma":0.99608445,"teacher_disagreement_score":0.01767098,"about_ca_system_score_codex":0.01767098,"about_ca_system_score_gemma":0.018619467,"threshold_uncertainty_score":0.12821257},"labels":[],"label_agreement":null},{"id":"W4403425282","doi":"10.54932/qurl7652","title":"Évolution de la distribution de la productivité des entreprises québécoises entre 2005 et 2019","year":2024,"lang":"fr","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.023404674558845193,"score_gpt":0.25885544035416846,"score_spread":0.23545076579532326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403425282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850317,0.00089034025,0.00041185587,0.001145252,0.000012300201,0.000013914898,0.0068454794,0.000020078463,0.0056290296],"genre_scores_gemma":[0.9908755,0.00026376132,0.00016682323,0.00008513252,0.0000039208458,0.000011278953,0.0018808809,0.0000046896575,0.0067079845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968183,0.000037768397,0.0000120610775,0.000079923215,0.000074322204,0.00011404936],"domain_scores_gemma":[0.9980337,0.00021991304,0.00045912343,0.000083295665,0.000873417,0.00033060275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056388223,0.00016071154,0.00025002056,0.0010613013,0.00087666017,0.001151619,0.00050875527,0.00039788958,0.0059495857],"category_scores_gemma":[0.0015230726,0.0001689125,0.0002830264,0.0021689238,0.00051162794,0.00044565107,0.00045171523,0.00057813,0.0004546508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002244723,0.0000347491,0.96222454,0.00008394367,0.00018433832,0.00015152054,0.004488134,0.0011867011,0.0014107847,0.0030997538,0.0048844167,0.022026692],"study_design_scores_gemma":[0.0000035997487,0.000014679685,0.9922478,0.0000254133,0.000016188345,0.000011855275,0.0019438015,0.0007109493,0.00011852499,0.000062989166,0.004835702,0.000008438602],"about_ca_topic_score_codex":0.965011,"about_ca_topic_score_gemma":0.98134065,"teacher_disagreement_score":0.034989,"about_ca_system_score_codex":0.0109754875,"about_ca_system_score_gemma":0.005591378,"threshold_uncertainty_score":0.07963318},"labels":[],"label_agreement":null},{"id":"W4403453134","doi":"10.5539/jsd.v17n6p76","title":"Effects of FDI on the Growth of Agricultural Sector in Côte d&amp;#39;Ivoire: An Empirical Analysis Based on Toda-Yamamoto Causality Tests and ARDL Cointegration","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Cote d ivoire; Economics; Causality (physics); Agriculture; Econometrics; Biology; Humanities; Ecology; Physics","score_opus":0.02328175238524215,"score_gpt":0.248856767389269,"score_spread":0.22557501500402685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403453134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99544287,0.00062081934,0.00026993186,0.00021863272,0.000011815735,0.000006839884,0.000840685,0.000010250114,0.0025781693],"genre_scores_gemma":[0.9967411,0.00066156255,0.00013456575,0.000019007774,0.000007271198,0.000008914076,0.000698269,0.0000044253125,0.0017248996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994056,0.00018556941,0.000029727653,0.00013148894,0.00009717899,0.00015037475],"domain_scores_gemma":[0.99576735,0.0024816361,0.0008823615,0.0001185824,0.00043416736,0.00031593308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092871435,0.00031023347,0.00039436054,0.0014717235,0.0001610716,0.00080013805,0.00025126582,0.00026682313,0.002028774],"category_scores_gemma":[0.0034845069,0.0001628359,0.0006276054,0.0015956424,0.00056084944,0.0004342897,0.0005188287,0.0007160495,0.0003261524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021689519,0.000103598075,0.9636111,0.00009632801,0.00022805875,0.0010537871,0.0005944048,0.017087556,0.0012650003,0.0016630233,0.0010558649,0.013024166],"study_design_scores_gemma":[0.000015034472,0.000068247384,0.9868547,0.000051291656,0.000062386265,0.00010798857,0.00057136844,0.009383436,0.0006240956,0.00019792194,0.0020496678,0.000013923004],"about_ca_topic_score_codex":0.14187005,"about_ca_topic_score_gemma":0.12766115,"teacher_disagreement_score":0.14187005,"about_ca_system_score_codex":0.0028808836,"about_ca_system_score_gemma":0.0012305828,"threshold_uncertainty_score":0.28208858},"labels":[],"label_agreement":null},{"id":"W4403467176","doi":"10.1016/j.eist.2024.100918","title":"Accelerating the deployment of SMRs in Canada: The importance of intermediaries","year":2024,"lang":"en","type":"article","venue":"Environmental Innovation and Societal Transitions","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Software deployment; Intermediary; Business; Computer science; Marketing; Operating system","score_opus":0.031508575266740016,"score_gpt":0.21424825518630083,"score_spread":0.1827396799195608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403467176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8493056,0.0021155952,0.0042636255,0.01882467,0.00009635518,0.00031005213,0.0011744936,0.00019771629,0.123711765],"genre_scores_gemma":[0.97232497,0.0013176528,0.0025198932,0.00056817546,0.000008161565,0.00003490598,0.00029384776,0.00003591154,0.02289655],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962084,0.0005710253,0.000095958945,0.0002880431,0.0015399028,0.0012966312],"domain_scores_gemma":[0.99253404,0.0024708773,0.0009236812,0.00025405592,0.0024619943,0.0013552577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028512664,0.00038686214,0.00023846963,0.0020621654,0.01194417,0.004890713,0.0014163684,0.0010921083,0.0063187224],"category_scores_gemma":[0.00865134,0.0004006365,0.00028918323,0.0044397027,0.0040945513,0.0021684233,0.0034845632,0.0018469592,0.00034626335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004796573,0.0002159016,0.18703401,0.0015570655,0.0000935549,0.009214597,0.34240213,0.0052851113,0.0070772604,0.14410326,0.044003543,0.25853387],"study_design_scores_gemma":[0.000029412617,0.00012196634,0.22609325,0.0006172159,0.00006495832,0.00054242375,0.35970917,0.0058127567,0.0032497598,0.0041835606,0.3993572,0.00021829751],"about_ca_topic_score_codex":0.99424297,"about_ca_topic_score_gemma":0.9971608,"teacher_disagreement_score":0.1305808,"about_ca_system_score_codex":0.1305808,"about_ca_system_score_gemma":0.17403787,"threshold_uncertainty_score":0.9474344},"labels":[],"label_agreement":null},{"id":"W4403846734","doi":"10.1093/eurheartj/ehae666.2040","title":"Prediction of family inheritance in non-sarcomeric hypertrophic cardiomyopathy using clinical variables and 12-lead electrocardiogram artificial intelligence models","year":2024,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Cardiology; Inheritance (genetic algorithm); Internal medicine; Cardiomyopathy; Artificial intelligence; Heart failure; Genetics","score_opus":0.2001242528971179,"score_gpt":0.30416277723591567,"score_spread":0.10403852433879776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403846734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765079,0.00018218059,0.021528719,0.00038145215,0.00003249779,0.000033169516,0.0005508925,0.00018316627,0.00060009304],"genre_scores_gemma":[0.99561393,0.00004763841,0.0034809045,0.000031847107,0.000012606343,0.00002266272,0.00047621535,0.000005235787,0.00030889994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99965465,0.00016417619,0.000024825886,0.00007885987,0.000029302273,0.000048267804],"domain_scores_gemma":[0.9951343,0.0039698137,0.00035717437,0.000105388855,0.0002498524,0.00018341497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018004631,0.0007881506,0.00039134632,0.001048282,0.00019614636,0.0006964185,0.0004186566,0.000617889,0.0011769072],"category_scores_gemma":[0.0047736135,0.0002113571,0.00045728366,0.00038714716,0.00022667545,0.00028938177,0.0003245463,0.000668935,0.00022069724],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005729212,0.00057168497,0.27584645,0.000038182672,0.0003000228,0.00032220516,0.000054369277,0.6952711,0.00067167,0.00033928987,0.0012875628,0.024724588],"study_design_scores_gemma":[0.0000068271015,0.000040879255,0.007546107,0.0000035293779,0.000012207893,0.000023440796,0.000007775202,0.99201655,0.00009671925,0.00021095671,0.000031402,0.0000035993044],"about_ca_topic_score_codex":0.009686669,"about_ca_topic_score_gemma":0.0047458187,"teacher_disagreement_score":0.009686669,"about_ca_system_score_codex":0.0005655564,"about_ca_system_score_gemma":0.00048668572,"threshold_uncertainty_score":0.019260585},"labels":[],"label_agreement":null},{"id":"W4404128062","doi":"10.2139/ssrn.5009388","title":"Assessing the Impact of Generative AI on Canadian Labor Market: An Empirical Approach","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University Canada West; Yorkville University","funders":"","keywords":"Generative grammar; Economics; Industrial organization; Labour economics; Business; Artificial intelligence; Computer science","score_opus":0.04375430793199208,"score_gpt":0.32924092122104465,"score_spread":0.28548661328905256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404128062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696525,0.0004341428,0.0012208468,0.00057571265,0.0000144271435,0.0000821503,0.00085152517,0.0000575301,0.027111163],"genre_scores_gemma":[0.9962291,0.00018303595,0.00043322172,0.00005489461,0.000010696709,0.000013974975,0.00035343439,0.000007930174,0.0027137082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986625,0.00025473852,0.00003230114,0.00016689187,0.00048194773,0.00040175222],"domain_scores_gemma":[0.98572713,0.0077927466,0.0011871571,0.0008765991,0.0030841478,0.0013321904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027677736,0.0005180089,0.00052011607,0.0023926506,0.0025274495,0.003279744,0.0016848048,0.00092532404,0.008990628],"category_scores_gemma":[0.019257331,0.00020064725,0.0006513331,0.0034175327,0.0021074393,0.0010798167,0.0011944199,0.0012806485,0.00048159398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016236645,0.0012072531,0.67569077,0.0003306735,0.00042215682,0.00035795715,0.004270523,0.09374246,0.0036817754,0.10453228,0.0067210034,0.107419506],"study_design_scores_gemma":[0.00014943835,0.0005712158,0.83630896,0.00007960457,0.00043660557,0.00010012093,0.007513329,0.12192174,0.0021653972,0.016188627,0.014412095,0.00015278373],"about_ca_topic_score_codex":0.9473132,"about_ca_topic_score_gemma":0.93985254,"teacher_disagreement_score":0.05268681,"about_ca_system_score_codex":0.02944701,"about_ca_system_score_gemma":0.028746022,"threshold_uncertainty_score":0.21365404},"labels":[],"label_agreement":null},{"id":"W4404151939","doi":"10.1515/9782553016912-007","title":"4. La place des entreprises canadiennes dans la R-D mondiale","year":2015,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.019182566651369158,"score_gpt":0.17214617707425417,"score_spread":0.152963610422885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404151939","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014935949,0.075040534,0.006092594,0.031598333,0.0012865829,0.000043198303,0.0009148684,0.00021734349,0.86987054],"genre_scores_gemma":[0.22646382,0.038250014,0.004657502,0.004069926,0.0010743078,0.00005833798,0.0005310562,0.0001979541,0.7246972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987784,0.00023354414,0.000037485697,0.0002349374,0.00040611665,0.00030942814],"domain_scores_gemma":[0.9988763,0.00036912432,0.00014579372,0.00013302194,0.00032961858,0.0001461678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013259965,0.00062114233,0.00038213507,0.0027585484,0.0024839349,0.009250844,0.0008003242,0.0026414103,0.039213356],"category_scores_gemma":[0.0023776894,0.00042871962,0.0007355658,0.0040144455,0.0030520335,0.003501892,0.0016580471,0.0026372117,0.0072188796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006250579,0.000019739893,0.0012233796,0.00018818279,0.0000151040995,0.0001484666,0.0011359985,0.00048581648,0.0005645207,0.894418,0.041678973,0.060059346],"study_design_scores_gemma":[0.000012140198,0.000025204086,0.006180959,0.0002868205,0.000014246517,0.0001607379,0.00039597668,0.00031274115,0.00060463196,0.041468125,0.9505142,0.000024145302],"about_ca_topic_score_codex":0.1505758,"about_ca_topic_score_gemma":0.17451605,"teacher_disagreement_score":0.8494242,"about_ca_system_score_codex":0.011570157,"about_ca_system_score_gemma":0.0074302927,"threshold_uncertainty_score":0.29939872},"labels":[],"label_agreement":null},{"id":"W4404378702","doi":"10.1080/10438599.2024.2424866","title":"Industrial designs and firm performance: evidence from publicly traded Canadian companies, 1990–2014","year":2024,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Economics; Econometrics; Financial economics","score_opus":0.12607683166580894,"score_gpt":0.2402030553217173,"score_spread":0.11412622365590835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404378702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093883,0.008304066,0.00039345745,0.0026061786,0.000046423662,0.00006905531,0.062345076,0.000086256034,0.016761063],"genre_scores_gemma":[0.96715266,0.0033016698,0.00022968325,0.00022797778,0.000042440595,0.000019742058,0.023731995,0.000013201221,0.005280675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784887,0.00008778716,0.00011108019,0.00024437587,0.0011529234,0.000555015],"domain_scores_gemma":[0.9813138,0.0017348526,0.008596281,0.0004725378,0.005330194,0.0025523722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014580223,0.00046576618,0.00041234013,0.0052180933,0.0019913607,0.0020697748,0.0014407564,0.0006008716,0.0035129066],"category_scores_gemma":[0.0075522466,0.00030296823,0.0007092212,0.014582257,0.0011635227,0.000738126,0.0010488444,0.000985396,0.0005366238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011295242,0.00006768267,0.9751243,0.00014157384,0.00017831838,0.000110844965,0.0005516288,0.00080745324,0.000091960326,0.0008337454,0.010480152,0.011499351],"study_design_scores_gemma":[0.000010448882,0.000022031018,0.9928139,0.000049580383,0.000060158414,0.000028885694,0.00057816197,0.0004723688,0.00010291995,0.000059404214,0.005784601,0.000017558546],"about_ca_topic_score_codex":0.9927193,"about_ca_topic_score_gemma":0.9953805,"teacher_disagreement_score":0.032186404,"about_ca_system_score_codex":0.032186404,"about_ca_system_score_gemma":0.030845597,"threshold_uncertainty_score":0.2335298},"labels":[],"label_agreement":null},{"id":"W4404772529","doi":"10.2139/ssrn.5019039","title":"Markup Dispersion, Misallocation and Productivity over the Life Cycle","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Markup language; Productivity; Dispersion (optics); Economics; Computer science; World Wide Web; Macroeconomics; XML; Physics; Optics","score_opus":0.011980730867765039,"score_gpt":0.21698421755574018,"score_spread":0.20500348668797513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404772529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97339636,0.0030154306,0.017958777,0.000951092,0.000027482987,0.00001479792,0.001048214,0.000095990756,0.0034917581],"genre_scores_gemma":[0.99383014,0.0008660972,0.0010757239,0.00003715712,0.000041259336,0.000009612776,0.0003835707,0.000021637743,0.003734843],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993851,0.00014100347,0.0000569124,0.00019675406,0.000107603606,0.00011252139],"domain_scores_gemma":[0.97722214,0.01332766,0.006267428,0.0016615768,0.00084903685,0.0006722253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003285426,0.00027316323,0.000683577,0.0014178928,0.00035364486,0.002895379,0.0006962489,0.0015742247,0.0048910626],"category_scores_gemma":[0.024341466,0.00037258246,0.00044157126,0.002461242,0.0011916624,0.003417992,0.0009844749,0.0007366047,0.0007236901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012455507,0.00019019224,0.606595,0.0002767029,0.00054069824,0.0007723625,0.0010656102,0.16339242,0.0050414824,0.112034895,0.0033879317,0.10545711],"study_design_scores_gemma":[0.00005979365,0.00034593322,0.45693493,0.00009177418,0.00023312445,0.0008306092,0.0008406374,0.19013932,0.0030039067,0.34194925,0.005420738,0.00014998757],"about_ca_topic_score_codex":0.0020488787,"about_ca_topic_score_gemma":0.002032271,"teacher_disagreement_score":0.0048910626,"about_ca_system_score_codex":0.0011833868,"about_ca_system_score_gemma":0.0004228921,"threshold_uncertainty_score":0.017375171},"labels":[],"label_agreement":null},{"id":"W4405417826","doi":"10.62422/978-81-970328-4-4-010","title":"Assessing the Impact of Generative AI on Canadian Labor Market: An Empirical Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence; Empirical research; Machine learning; Mathematics; Statistics","score_opus":0.07844127544382493,"score_gpt":0.34663391884507655,"score_spread":0.2681926434012516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405417826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673267,0.00083956466,0.0031474235,0.0011317775,0.00003563139,0.0003497651,0.008448307,0.000060882157,0.018659977],"genre_scores_gemma":[0.98686045,0.0005095385,0.0022346934,0.0002599371,0.00002406001,0.00017008944,0.004998208,0.000024788744,0.0049181688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695396,0.00052613363,0.00010168147,0.00038911155,0.0012821158,0.0007469655],"domain_scores_gemma":[0.9910328,0.0026976725,0.0012225411,0.00057637034,0.0034947998,0.0009758062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038641363,0.00072880293,0.0005148035,0.004536954,0.004498008,0.0022395465,0.0019603393,0.0006139471,0.005645363],"category_scores_gemma":[0.014685794,0.00032347103,0.000971093,0.008318559,0.0020685901,0.00097431993,0.0021556744,0.0014949256,0.0005934151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017598442,0.00041883282,0.918952,0.00021529001,0.00021144934,0.00024063601,0.0058045797,0.0075616515,0.00032260997,0.014750483,0.009813522,0.04153295],"study_design_scores_gemma":[0.000042919542,0.00011333769,0.9394665,0.00016250333,0.00017344925,0.00007219953,0.015562436,0.021320347,0.0004023638,0.0021157858,0.020462736,0.00010542847],"about_ca_topic_score_codex":0.9939774,"about_ca_topic_score_gemma":0.9924131,"teacher_disagreement_score":0.04145587,"about_ca_system_score_codex":0.04145587,"about_ca_system_score_gemma":0.059905533,"threshold_uncertainty_score":0.30078477},"labels":[],"label_agreement":null},{"id":"W4405640029","doi":"10.1287/mnsc.2019.03116","title":"Economies Before Scale: I.T. Strategy and Performance Dynamics of Young U.S. Businesses","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of scale; Scale (ratio); Dynamics (music); Business; Industrial organization; Economics; Economic geography; Marketing; Geography; Sociology","score_opus":0.0139608262364742,"score_gpt":0.21056309018261843,"score_spread":0.19660226394614422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405640029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99052256,0.00058409566,0.00017096159,0.00079557206,0.0000074001246,0.0000068825216,0.00031716368,0.000005070968,0.007590243],"genre_scores_gemma":[0.9981542,0.00032564445,0.00006911624,0.00010809882,0.000010050558,0.000004644998,0.00014596646,0.0000022731283,0.0011800074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998023,0.00002518571,0.000011172852,0.000038483067,0.00004691805,0.000075900214],"domain_scores_gemma":[0.99740076,0.00030003383,0.000944486,0.000072965886,0.00024642504,0.0010352791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508266,0.00011291985,0.00013603452,0.00096521084,0.00054641423,0.0019224106,0.00024286579,0.00038857938,0.0031462545],"category_scores_gemma":[0.0022452616,0.00008864182,0.00017481133,0.0009780872,0.00054950354,0.0014401979,0.0009110603,0.00059781864,0.00072588853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010618023,0.00016123064,0.93460196,0.000038360697,0.000025678764,0.00047017523,0.005795249,0.00057632406,0.0010051318,0.008761996,0.0027613763,0.04569633],"study_design_scores_gemma":[0.0000046257037,0.00015220646,0.9814124,0.00005267549,0.000008647426,0.00014435031,0.0062267524,0.0009776397,0.00036420097,0.0030099854,0.007633354,0.000013150888],"about_ca_topic_score_codex":0.011586851,"about_ca_topic_score_gemma":0.016778888,"teacher_disagreement_score":0.011586851,"about_ca_system_score_codex":0.0006660812,"about_ca_system_score_gemma":0.0006415662,"threshold_uncertainty_score":0.023038805},"labels":[],"label_agreement":null},{"id":"W4405802520","doi":"10.54863/jief.1497748","title":"STRATEGIC DESIGN OF GROWTH PROCESSES IN BUSINESSES: A RESEARCH FOR SMEs IN THE CONTEXT OF RISK STRUCTURE AND PROFITABILITY RELATIONSHIP","year":2024,"lang":"en","type":"article","venue":"İslam Ekonomisi ve Finansı Dergisi (İEFD)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Quarter (Canadian coin); Data collection; Survey research; Scale (ratio); Marketing; Industrial organization; Business administration; Finance; Statistics","score_opus":0.15529117945950138,"score_gpt":0.3179085564393888,"score_spread":0.16261737697988743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405802520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98184985,0.0004966928,0.0051315078,0.00063517067,0.0000068772897,0.00005531602,0.000015950789,0.000009708906,0.011798951],"genre_scores_gemma":[0.99795806,0.00017479164,0.001353218,0.000026502024,0.0000025334525,0.0000150999085,0.0000102483955,0.0000019110776,0.0004576483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980749,0.0011319342,0.00009082392,0.00014820513,0.00032565056,0.00022847681],"domain_scores_gemma":[0.9928669,0.0037629253,0.0014024538,0.00025703243,0.0008168333,0.00089392735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062774,0.00024889555,0.00019107698,0.001221075,0.00082320994,0.0030347693,0.0003226853,0.00061045296,0.0013525666],"category_scores_gemma":[0.007257052,0.00017475632,0.0003100936,0.00069351384,0.0013894526,0.002260159,0.0011822968,0.0006038791,0.00018526019],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029313503,0.0007427313,0.7278605,0.00040910748,0.00006875404,0.002037654,0.076222,0.002932437,0.0062726075,0.055353377,0.00050118205,0.12730646],"study_design_scores_gemma":[0.00003232113,0.0009685097,0.7489848,0.00047687272,0.00011008196,0.0029860537,0.16710849,0.013045482,0.0033905432,0.046775732,0.016046315,0.00007485305],"about_ca_topic_score_codex":0.0016410743,"about_ca_topic_score_gemma":0.0020484058,"teacher_disagreement_score":0.0030347693,"about_ca_system_score_codex":0.0013832913,"about_ca_system_score_gemma":0.0026345267,"threshold_uncertainty_score":0.0109090805},"labels":[],"label_agreement":null},{"id":"W4405842759","doi":"10.54097/7vhmcm97","title":"A Financial Comparative Analysis of Garment Enterprise","year":2024,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ste. Anne's Hospital","funders":"","keywords":"Business; Finance","score_opus":0.024310136760033702,"score_gpt":0.22906850017084476,"score_spread":0.20475836341081105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405842759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9311688,0.0019162388,0.0009433043,0.00029546284,0.00001536558,0.000026730433,0.0007086609,0.000017381088,0.064908154],"genre_scores_gemma":[0.99583364,0.0005520442,0.00037713305,0.000014435686,0.000018555314,0.000007917333,0.00050387706,0.0000037709272,0.0026887709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944216,0.00016078625,0.000025695075,0.00006956433,0.00017161373,0.00013015082],"domain_scores_gemma":[0.99786407,0.0008958244,0.00038780912,0.00009984607,0.0005792792,0.00017320995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011574351,0.00015703341,0.00020882994,0.007145427,0.0006052661,0.0019084595,0.00025536286,0.00028386552,0.007852612],"category_scores_gemma":[0.0036237233,0.00005707498,0.00039190688,0.004280854,0.0004639514,0.0018684783,0.00075091585,0.00029210545,0.00028737087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010035564,0.00028262322,0.49230918,0.00053466484,0.00034779063,0.0020976998,0.004286546,0.008344238,0.0034203704,0.30792704,0.0072397925,0.17220636],"study_design_scores_gemma":[0.000016208747,0.00037393635,0.9333659,0.000178548,0.0001695913,0.0005710207,0.007885562,0.012564757,0.0012236382,0.012797274,0.030814454,0.000039307088],"about_ca_topic_score_codex":0.008293363,"about_ca_topic_score_gemma":0.008288415,"teacher_disagreement_score":0.008293363,"about_ca_system_score_codex":0.0022151046,"about_ca_system_score_gemma":0.00054938305,"threshold_uncertainty_score":0.026269615},"labels":[],"label_agreement":null},{"id":"W4406427150","doi":"10.1108/mf-09-2024-0715","title":"Growing up in the modern world: how does artificial intelligence enhance firm growth?","year":2025,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University; Memorial University of Newfoundland; Queen's University","funders":"","keywords":"Business; Economics","score_opus":0.026729143940835778,"score_gpt":0.2447511832864671,"score_spread":0.21802203934563133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406427150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634512,0.0050191064,0.001885983,0.00684672,0.000059521226,0.000035419358,0.001932776,0.000039025253,0.020730276],"genre_scores_gemma":[0.9975036,0.0010355696,0.00027301672,0.000116256284,0.000046990695,0.0000072200833,0.00039103293,0.0000029341218,0.0006234723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994985,0.00011140217,0.000033508382,0.00010083783,0.00012850002,0.00012731583],"domain_scores_gemma":[0.9910104,0.0034382099,0.0038556485,0.00026619225,0.0006836252,0.0007458956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089828076,0.00019205107,0.00025318968,0.0017528957,0.00036556963,0.0024402589,0.00035485002,0.0005250138,0.0022624116],"category_scores_gemma":[0.007363664,0.00009053023,0.00025961403,0.0032101949,0.00069222494,0.0023695086,0.0010859977,0.00071740465,0.00036858927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010453386,0.00013369396,0.8916783,0.00019257767,0.00013878921,0.0007758978,0.00066726597,0.00926966,0.000602111,0.013705256,0.004783344,0.07794853],"study_design_scores_gemma":[0.000020200385,0.00016193112,0.9380611,0.00018744057,0.000095951815,0.00020598281,0.0036187053,0.014906363,0.0014053903,0.016983012,0.02431455,0.000039352868],"about_ca_topic_score_codex":0.008186721,"about_ca_topic_score_gemma":0.009669778,"teacher_disagreement_score":0.008186721,"about_ca_system_score_codex":0.0013654382,"about_ca_system_score_gemma":0.0007743347,"threshold_uncertainty_score":0.016278148},"labels":[],"label_agreement":null},{"id":"W4406462859","doi":"10.2139/ssrn.5097026","title":"Online Appendix for: 'Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data'","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University","funders":"","keywords":"Dynamics (music); Private sector; Business; Economics; Economic growth; Sociology","score_opus":0.030226297256459266,"score_gpt":0.23069687514289217,"score_spread":0.2004705778864329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406462859","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054384134,0.00002706172,0.00094074244,0.00028713644,0.00017021994,0.00017929409,0.99132407,0.00075879024,0.0057688244],"genre_scores_gemma":[0.0062672473,0.00021096447,0.0062478106,0.0004950947,0.00021090654,0.0010658375,0.95118725,0.0008576553,0.033457223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885964,0.0001527029,0.00027457334,0.0001497128,0.00039603017,0.0001673338],"domain_scores_gemma":[0.9699883,0.01760955,0.002043953,0.0019451431,0.0071157734,0.0012973917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016819031,0.00090097234,0.000976222,0.0045880782,0.0005782601,0.001389763,0.0023793932,0.0018004366,0.7218445],"category_scores_gemma":[0.022859879,0.0009677025,0.00073994166,0.009550645,0.00034614798,0.0018691613,0.0019747552,0.0012675282,0.43040377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049599326,0.00008769647,0.0010570916,0.00039042055,0.000009320388,0.00003082272,0.000033804066,0.00037057247,0.00010585247,0.0005265779,0.98820657,0.009131652],"study_design_scores_gemma":[0.0008881874,0.00013093003,0.04917495,0.0006013331,0.000037705435,0.00022265002,0.0004353385,0.0015628209,0.0010503811,0.005767031,0.94000715,0.0001215447],"about_ca_topic_score_codex":0.021040622,"about_ca_topic_score_gemma":0.033641964,"teacher_disagreement_score":0.7218445,"about_ca_system_score_codex":0.0010326402,"about_ca_system_score_gemma":0.0031038225,"threshold_uncertainty_score":0.39675504},"labels":[],"label_agreement":null},{"id":"W4406634541","doi":"10.1093/rfs/hhaf004","title":"Build or Buy? Human Capital and Corporate Diversification","year":2025,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Banca d'Italia; Agence Nationale de la Recherche","keywords":"Diversification (marketing strategy); Business; Human capital; Monetary economics; Financial economics; Industrial organization; Economics; Market economy; Marketing","score_opus":0.09798602052273672,"score_gpt":0.3015808119017073,"score_spread":0.2035947913789706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406634541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88312757,0.08002218,0.0018294961,0.0055928947,0.00003985486,0.000015945676,0.00020285012,0.0000092938135,0.029159833],"genre_scores_gemma":[0.99399734,0.004955964,0.00014327654,0.00013929096,0.00005079625,0.0000020396,0.0000253869,5.21565e-7,0.0006853781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997253,0.00011002053,0.000009036911,0.000043809327,0.00004775691,0.00006405267],"domain_scores_gemma":[0.9962702,0.0017794485,0.0012249849,0.000097416545,0.00017553651,0.00045244722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078083837,0.000112002526,0.00020432759,0.0013050074,0.00023358419,0.001322654,0.00019861723,0.0005550888,0.003344817],"category_scores_gemma":[0.0023970536,0.000061868865,0.0001482118,0.0013875881,0.001105723,0.0009824178,0.00052944163,0.00036974627,0.00017834952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022625997,0.00019448272,0.6389174,0.00050676183,0.00030377106,0.00067213253,0.0014081621,0.0056796353,0.0011474476,0.09845116,0.0050229602,0.2474699],"study_design_scores_gemma":[0.000030182453,0.00013430252,0.8747505,0.0007988476,0.000081914244,0.0006051258,0.00236643,0.003172417,0.0004529737,0.09394149,0.023637138,0.000028795384],"about_ca_topic_score_codex":0.0019491034,"about_ca_topic_score_gemma":0.0022754148,"teacher_disagreement_score":0.003344817,"about_ca_system_score_codex":0.000651092,"about_ca_system_score_gemma":0.00025146667,"threshold_uncertainty_score":0.011189461},"labels":[],"label_agreement":null},{"id":"W4406829136","doi":"10.4236/oalib.1112669","title":"Skill Selection and Productivity Growth","year":2025,"lang":"en","type":"article","venue":"OALib","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Selection (genetic algorithm); Productivity; Computer science; Economics; Artificial intelligence; Economic growth","score_opus":0.011776793411256259,"score_gpt":0.20522970582858233,"score_spread":0.19345291241732607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406829136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87144846,0.0022557986,0.022766635,0.0036402557,0.00009651915,0.00015206258,0.0012543077,0.00028958297,0.098096415],"genre_scores_gemma":[0.99272937,0.0005771281,0.00073810987,0.000089981,0.00005941553,0.000029098832,0.00018381208,0.000012283747,0.0055808225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894124,0.00023447473,0.000035491255,0.00013269253,0.00018669385,0.00046937788],"domain_scores_gemma":[0.993305,0.003280949,0.0015881567,0.0004334615,0.0005506713,0.00084172917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013317334,0.00065154856,0.00043950093,0.0020456053,0.00059054326,0.002224086,0.00040326602,0.0007868254,0.010458175],"category_scores_gemma":[0.0065959054,0.00012745996,0.0007115792,0.0016204015,0.0012694395,0.0014313693,0.0016259862,0.00094413274,0.0015607472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009660454,0.0008932526,0.41151193,0.0005710177,0.00046798872,0.0027858682,0.0028164312,0.081223115,0.0066333907,0.23700736,0.008465138,0.24665843],"study_design_scores_gemma":[0.00037370453,0.0012863551,0.47170165,0.00034955156,0.00021366944,0.0013297374,0.0040396363,0.088305905,0.005722801,0.37243253,0.05409382,0.00015070643],"about_ca_topic_score_codex":0.004389412,"about_ca_topic_score_gemma":0.0023916762,"teacher_disagreement_score":0.010458175,"about_ca_system_score_codex":0.0016783448,"about_ca_system_score_gemma":0.0012084375,"threshold_uncertainty_score":0.03498608},"labels":[],"label_agreement":null},{"id":"W4407100621","doi":"10.1093/rof/rfaf008","title":"Does the level of cash always increase with firm size? Theory and evidence from small firms","year":2025,"lang":"en","type":"article","venue":"European Finance Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Monetary economics; Cash; Economics; Business; Finance","score_opus":0.07176585719055278,"score_gpt":0.24613596903771728,"score_spread":0.1743701118471645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407100621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9362012,0.03468322,0.0019865045,0.006272593,0.00006195452,0.000029500088,0.00076468056,0.00003556388,0.019964866],"genre_scores_gemma":[0.99418265,0.0046516433,0.00013110299,0.00020351168,0.00007006744,0.000005117449,0.00020582855,0.0000035393416,0.00054665253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994055,0.0001680685,0.000045678455,0.00016477407,0.00013064744,0.000085319145],"domain_scores_gemma":[0.927799,0.042088218,0.023869012,0.001877469,0.0031588944,0.0012075307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002635221,0.00017359546,0.00041102857,0.0017400392,0.00019742169,0.0012498052,0.0005438552,0.00071035145,0.0044621904],"category_scores_gemma":[0.017229022,0.00018304882,0.00034500592,0.0020772368,0.0012141174,0.0015519696,0.0005096904,0.00063189474,0.0005247394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048450174,0.00016549027,0.89524704,0.00072127965,0.00045086752,0.0006383413,0.0006450303,0.0034681105,0.0009939241,0.018370487,0.0052461727,0.073568806],"study_design_scores_gemma":[0.00004414976,0.00016710098,0.97358334,0.00031666466,0.00022444909,0.00024436414,0.0007330781,0.0023947153,0.00074145134,0.015025606,0.006494607,0.000030510191],"about_ca_topic_score_codex":0.0047835642,"about_ca_topic_score_gemma":0.0027943235,"teacher_disagreement_score":0.0047835642,"about_ca_system_score_codex":0.00056228903,"about_ca_system_score_gemma":0.00029906185,"threshold_uncertainty_score":0.014927506},"labels":[],"label_agreement":null},{"id":"W4407109312","doi":"10.1007/s00191-025-00891-z","title":"Productivity dispersion and firm growth in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Entrepreneurship; Productivity; Dispersion (optics); Economics; Economic geography; Industrial organization; Agricultural economics; Econometrics; Macroeconomics; Finance; Physics","score_opus":0.01018674108199189,"score_gpt":0.1790986701863885,"score_spread":0.16891192910439662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407109312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98122495,0.0028965601,0.00030748767,0.004207918,0.000048172522,0.00002080059,0.004500116,0.000044702538,0.0067492765],"genre_scores_gemma":[0.99384356,0.0008070028,0.00010577127,0.00009922021,0.000017870467,0.000004137252,0.001082855,0.000010621923,0.0040288656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879515,0.00007948656,0.00006775085,0.0001586559,0.00035581083,0.0005431703],"domain_scores_gemma":[0.9895488,0.0017629125,0.0014067307,0.00022508396,0.0045052315,0.0025512401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016582246,0.00031907155,0.0007065712,0.00365307,0.0036663394,0.0035976411,0.0015280916,0.0010817384,0.005396883],"category_scores_gemma":[0.0077608735,0.0003334612,0.00062334497,0.008010543,0.001296741,0.0009457732,0.0013658758,0.0018041432,0.00028763898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053246756,0.00014582586,0.9317702,0.00010531728,0.0002664602,0.0005724642,0.002252499,0.010073247,0.00029494427,0.013487691,0.012240173,0.028258683],"study_design_scores_gemma":[0.000073696305,0.0000358536,0.9716251,0.00009999258,0.00010308801,0.00007939561,0.0036739747,0.011751843,0.00023699606,0.0019391094,0.01031041,0.0000704965],"about_ca_topic_score_codex":0.99832255,"about_ca_topic_score_gemma":0.9985915,"teacher_disagreement_score":0.91691613,"about_ca_system_score_codex":0.08308387,"about_ca_system_score_gemma":0.073364355,"threshold_uncertainty_score":0.6028185},"labels":[],"label_agreement":null},{"id":"W4407265944","doi":"10.1093/icc/dtae044","title":"Dual clusters in dual economies: understanding innovation in clusters of developing countries","year":2025,"lang":"en","type":"article","venue":"Industrial and Corporate Change","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Comisión Sectorial de Investigación Científica; International Development Research Centre","keywords":"Multinational corporation; Dual (grammatical number); Dualism; Developing country; Latin Americans; Economic geography; Economies of agglomeration; Business; Dual economy; Empirical evidence; Economics; Economic system; Economic growth; Political science; Finance","score_opus":0.31396227938346327,"score_gpt":0.2677404923431906,"score_spread":0.04622178704027269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407265944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901447,0.000455217,0.002971026,0.000329522,0.000004743275,0.000014923734,0.000060437895,0.000004730987,0.0060146837],"genre_scores_gemma":[0.9993717,0.000093860515,0.0003406542,0.00000994393,0.0000022821125,0.00000499528,0.000016577447,8.14192e-7,0.00015914236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994843,0.00016890527,0.00002140428,0.00009321264,0.000059235266,0.00017291735],"domain_scores_gemma":[0.9966652,0.0012946439,0.0009875541,0.00017953526,0.0003766001,0.0004964285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010197753,0.00019223556,0.0005430114,0.0030584838,0.0010958324,0.0037550125,0.00046261196,0.00059209333,0.0032330714],"category_scores_gemma":[0.0043361313,0.00012642152,0.00038249843,0.002774304,0.0030200218,0.0030331076,0.0033343532,0.0005700043,0.00014889214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003795794,0.00021948875,0.71296936,0.00038534112,0.00017661882,0.0011369722,0.02305408,0.023121553,0.0021024,0.19591072,0.0010553908,0.03948852],"study_design_scores_gemma":[0.00006093743,0.0001578533,0.6849042,0.00035615932,0.00016437203,0.000582181,0.079448976,0.04430096,0.0010658071,0.17593798,0.012954382,0.00006627564],"about_ca_topic_score_codex":0.013545949,"about_ca_topic_score_gemma":0.010176625,"teacher_disagreement_score":0.013545949,"about_ca_system_score_codex":0.0021794827,"about_ca_system_score_gemma":0.0014476859,"threshold_uncertainty_score":0.026934206},"labels":[],"label_agreement":null},{"id":"W4407574629","doi":"10.59876/a-10j0-q4h2","title":"Interfirm Network Positioning and Firm Performance During the Mature Stage of the Global Semiconductor Industry","year":2025,"lang":"en","type":"article","venue":"Management international","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stage (stratigraphy); Semiconductor industry; Business; Semiconductor; Industrial organization; Telecommunications; Computer science; Manufacturing engineering; Engineering; Electrical engineering; Geology","score_opus":0.01087381562828216,"score_gpt":0.2140200731172686,"score_spread":0.20314625748898643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407574629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998374,0.0000551842,0.00010136501,0.00004137712,0.0000011397524,0.0000019617596,0.000022337188,0.0000015478001,0.0014010868],"genre_scores_gemma":[0.9997199,0.00002643875,0.000032141164,0.0000049126756,0.000002090585,8.561214e-7,0.000028834353,5.027875e-7,0.00018421534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973375,0.000060184993,0.000014351823,0.00004705629,0.000046613215,0.00009808159],"domain_scores_gemma":[0.9932632,0.0014106716,0.0035308423,0.00022975562,0.0004602167,0.0011053424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089257484,0.00013388135,0.00013675817,0.0006615461,0.00031845312,0.0011656126,0.00023472591,0.00041702148,0.0022793696],"category_scores_gemma":[0.0048666806,0.000057489586,0.000087784654,0.0009916854,0.00050692045,0.0011674067,0.000741831,0.00044697165,0.000405298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014907274,0.0001846818,0.97561455,0.000018470162,0.000027988683,0.00012837363,0.0012484648,0.002808035,0.002109419,0.0012600874,0.00020130532,0.016249428],"study_design_scores_gemma":[0.000004226129,0.00022590595,0.99482524,0.0000102608365,0.000010502992,0.000043380394,0.0013271065,0.0020157334,0.00056563166,0.0004970654,0.00046692882,0.000008138065],"about_ca_topic_score_codex":0.0041425712,"about_ca_topic_score_gemma":0.007762251,"teacher_disagreement_score":0.0041425712,"about_ca_system_score_codex":0.0005774631,"about_ca_system_score_gemma":0.00024314637,"threshold_uncertainty_score":0.008236945},"labels":[],"label_agreement":null},{"id":"W4407779876","doi":"10.1590/s0034-759020250204","title":"SME PERFORMANCE AND JOB CREATION IN SUB-SAHARAN AFRICA: THE ROLE OF DIGITAL INNOVATION","year":2025,"lang":"en","type":"article","venue":"Revista de Administração de Empresas","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Job creation; Business; Industrial organization; Labour economics; Economics","score_opus":0.020577760335188065,"score_gpt":0.2383882570778785,"score_spread":0.21781049674269043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407779876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755377,0.00033127173,0.00008810317,0.0001755079,0.000004343444,0.0000029243463,0.00004283813,0.0000011624439,0.0018000937],"genre_scores_gemma":[0.99974936,0.00010221593,0.000022120863,0.000007967742,0.0000038220783,0.0000014473587,0.000013102654,2.9636377e-7,0.00009968301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934727,0.00028987584,0.00003398447,0.00004152618,0.000083820574,0.00020351286],"domain_scores_gemma":[0.992894,0.0034060641,0.0022635495,0.000115378,0.00040836705,0.0009127012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012535761,0.0001989106,0.0002864111,0.0012694654,0.00062225544,0.0015459623,0.00019134919,0.00031118462,0.0026343125],"category_scores_gemma":[0.005010389,0.000072137715,0.00024302863,0.0016159089,0.00066526566,0.000756088,0.0013054059,0.00045670796,0.00021660727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009559885,0.00013048209,0.9813285,0.000091674294,0.00006261626,0.0004462949,0.002660596,0.0006115106,0.0003549676,0.001041885,0.00017381797,0.013002087],"study_design_scores_gemma":[0.0000040029972,0.000070859,0.99121135,0.00006661598,0.000020105801,0.00013072563,0.0063484507,0.00067717355,0.00016010486,0.00040740293,0.00089658744,0.00000654331],"about_ca_topic_score_codex":0.0039047084,"about_ca_topic_score_gemma":0.004018501,"teacher_disagreement_score":0.0039047084,"about_ca_system_score_codex":0.00048241334,"about_ca_system_score_gemma":0.00070082064,"threshold_uncertainty_score":0.008812666},"labels":[],"label_agreement":null},{"id":"W4408211594","doi":"10.5539/ijef.v17n4p63","title":"Does Business Model Risk Affect Corporate Labor Policy?","year":2025,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Business; Supply chain; Affect (linguistics); Business risks; Business model; Key (lock); Industrial organization; Economics; Finance; Marketing; Risk analysis (engineering)","score_opus":0.020922713164349127,"score_gpt":0.23565570362088534,"score_spread":0.2147329904565362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408211594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9180996,0.0022274782,0.0071388143,0.015025894,0.00010205751,0.000055109795,0.00041739354,0.000060004062,0.056873623],"genre_scores_gemma":[0.99637574,0.00038297323,0.00020348791,0.00021482646,0.000043986576,0.000006233598,0.00006596193,0.000010601634,0.0026961816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990908,0.0003397823,0.000043346954,0.00013036687,0.00015430921,0.00024140289],"domain_scores_gemma":[0.9899648,0.0042408803,0.0034704427,0.00060807815,0.0006428769,0.0010729155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017048881,0.00024299664,0.00039611763,0.0005682384,0.0006309845,0.0047258027,0.00053171616,0.001456583,0.010040712],"category_scores_gemma":[0.012611866,0.00018969987,0.0002885107,0.000642219,0.0007713931,0.002053429,0.0009504058,0.0017154106,0.001426148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051602593,0.0009713624,0.7224439,0.0001128785,0.0002690501,0.0007282416,0.0019368513,0.04422079,0.0016312024,0.14566436,0.007657843,0.0738475],"study_design_scores_gemma":[0.00006820928,0.00048820232,0.59157026,0.0003162658,0.00018946535,0.00056756026,0.008745843,0.09581023,0.0016043367,0.26777098,0.03271419,0.0001544573],"about_ca_topic_score_codex":0.0037980585,"about_ca_topic_score_gemma":0.00398845,"teacher_disagreement_score":0.010040712,"about_ca_system_score_codex":0.0013614595,"about_ca_system_score_gemma":0.00075106404,"threshold_uncertainty_score":0.033589482},"labels":[],"label_agreement":null},{"id":"W4408217530","doi":"10.54932/oidv6447","title":"Undeterred and (somewhat) successful – How Canadian firms mitigate innovation barriers to remain innovative ?","year":2025,"lang":"en","type":"report","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization","score_opus":0.037135119181443396,"score_gpt":0.25376686029025336,"score_spread":0.21663174110880995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408217530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551803,0.0006629211,0.00039807238,0.005573044,0.00001910065,0.00004449564,0.00018544942,0.000015025822,0.037921607],"genre_scores_gemma":[0.9976706,0.0002130709,0.00014568774,0.0002397433,0.0000053088675,0.0000055117484,0.00004174597,0.0000021676894,0.0016761619],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9974578,0.0002592135,0.00005084545,0.00018099973,0.00084431045,0.001206781],"domain_scores_gemma":[0.99180204,0.0013819684,0.0024304988,0.00036304336,0.0013196145,0.002702869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020253805,0.00016460399,0.00026755244,0.0009572132,0.0025387856,0.0042797993,0.00084467017,0.001071571,0.0033945323],"category_scores_gemma":[0.011495576,0.00009080032,0.00026944885,0.001165253,0.002075006,0.001977421,0.001438088,0.00096656865,0.00024795972],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002534924,0.0004544975,0.76793957,0.0002519242,0.00011042108,0.00066584215,0.012818504,0.0033052897,0.003378977,0.053919666,0.0076103695,0.14929149],"study_design_scores_gemma":[0.000032856067,0.0001778691,0.93568796,0.0002004193,0.00007630644,0.00013791033,0.020822005,0.0017175475,0.0013753963,0.00643634,0.03327184,0.00006358257],"about_ca_topic_score_codex":0.62906736,"about_ca_topic_score_gemma":0.7854357,"teacher_disagreement_score":0.98964185,"about_ca_system_score_codex":0.010358171,"about_ca_system_score_gemma":0.02679664,"threshold_uncertainty_score":0.7462343},"labels":[],"label_agreement":null},{"id":"W4408230008","doi":"10.2139/ssrn.5169343","title":"Optimal Maximin GMM Tests for Sphericity in Latent Factor Analysis of Short Panels","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sphericity; Minimax; Statistics; Econometrics; Mathematics; Mathematical optimization","score_opus":0.04895652739451531,"score_gpt":0.27694051728055197,"score_spread":0.22798398988603666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408230008","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11454377,0.00060401537,0.8784649,0.0011367978,0.000110421475,0.00022147705,0.0012899911,0.0012979475,0.0023306154],"genre_scores_gemma":[0.72938067,0.000558415,0.2609917,0.00038499926,0.00032831752,0.00056662294,0.0042618383,0.00080876745,0.0027186114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9777819,0.018644223,0.00082528783,0.0014673797,0.0006141113,0.0006670789],"domain_scores_gemma":[0.7259931,0.2609427,0.0029253988,0.0067850733,0.002194276,0.0011594085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026008248,0.0017656746,0.0032004807,0.0027071675,0.0012287175,0.0034057219,0.0020161057,0.0021205775,0.01090801],"category_scores_gemma":[0.1473166,0.001903639,0.002234793,0.0022161019,0.0028104405,0.0046953,0.0032418268,0.0030612303,0.0017821896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047524883,0.0007647438,0.042409725,0.0011743221,0.0025155977,0.0008365784,0.0016313716,0.3933956,0.0065948116,0.1900781,0.012968393,0.34287834],"study_design_scores_gemma":[0.00034497658,0.0003924943,0.01150301,0.00012424216,0.0001539082,0.00010159583,0.0003545549,0.7776842,0.0026290792,0.20502993,0.0015813705,0.000100633835],"about_ca_topic_score_codex":0.0027076092,"about_ca_topic_score_gemma":0.003013668,"teacher_disagreement_score":0.026008248,"about_ca_system_score_codex":0.0010068853,"about_ca_system_score_gemma":0.0029750352,"threshold_uncertainty_score":0.13754642},"labels":[],"label_agreement":null},{"id":"W4408563870","doi":"10.1007/s40953-025-00447-9","title":"Investigating the Contribution of R&amp;D and ICT Investments in Total Factor Productivity Growth: Evidence from Quebec’s Manufacturing SMEs","year":2025,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Agriculture and Agri-Food Canada","funders":"","keywords":"Productivity; Information and Communications Technology; Total factor productivity; Business; Industrial organization; Economics; Economic growth; Computer science","score_opus":0.08112509268603979,"score_gpt":0.2899581771780338,"score_spread":0.208833084491994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408563870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99141055,0.00090916693,0.00008581202,0.000731009,0.0000047592866,0.000009878687,0.0016999078,0.0000076029105,0.005141386],"genre_scores_gemma":[0.99684805,0.0003453117,0.000048200458,0.00007840752,0.000004268013,0.0000045999227,0.0006095402,0.0000023085217,0.0020593072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955684,0.00006661099,0.000021912078,0.000059322385,0.00011898249,0.0001762206],"domain_scores_gemma":[0.99360716,0.0018780073,0.0013183411,0.00018311081,0.0022609774,0.00075245334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070272404,0.00024689015,0.00021494325,0.0015001706,0.0012452703,0.0017113099,0.0007761776,0.0005851519,0.003885678],"category_scores_gemma":[0.0034963558,0.00014612834,0.00037106816,0.0038383682,0.00066712435,0.0006888447,0.0007490295,0.0006414907,0.000298015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025579514,0.00008776856,0.97816235,0.000082799066,0.0001716327,0.00044417838,0.0015632723,0.0013559245,0.0006826117,0.0011179926,0.002683543,0.01339204],"study_design_scores_gemma":[0.0000118791,0.000022442591,0.9947864,0.000047443,0.000062874125,0.000029269513,0.0019833352,0.0009353841,0.00018364642,0.000050522467,0.0018765235,0.000010239613],"about_ca_topic_score_codex":0.9902063,"about_ca_topic_score_gemma":0.9946726,"teacher_disagreement_score":0.014291415,"about_ca_system_score_codex":0.014291415,"about_ca_system_score_gemma":0.011166795,"threshold_uncertainty_score":0.103691936},"labels":[],"label_agreement":null},{"id":"W4409350683","doi":"10.1002/agr.22049","title":"Access to Finance and Innovation in the Canadian Food Processing","year":2025,"lang":"en","type":"article","venue":"Agribusiness","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Business; Food processing; Economics; Industrial organization; Finance; Political science","score_opus":0.04831414618867399,"score_gpt":0.25793219871570305,"score_spread":0.20961805252702906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409350683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98226994,0.000806843,0.00017075436,0.00092067337,0.000007683993,0.000027381835,0.0046558334,0.0000111468,0.011129753],"genre_scores_gemma":[0.9946009,0.00052454707,0.00015937281,0.000052750303,0.0000057880447,0.000008441947,0.0015087036,0.000002943006,0.00313657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906725,0.000047444526,0.000023331742,0.0000899593,0.0004348694,0.00033716392],"domain_scores_gemma":[0.995458,0.00072246185,0.0013316869,0.000099059194,0.0015095371,0.0008791841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079898495,0.00021080484,0.0002757551,0.002944957,0.0015153028,0.0018934447,0.00051992794,0.00029492928,0.0050565787],"category_scores_gemma":[0.0039535216,0.0001237947,0.00041503497,0.0057227616,0.0007665882,0.00042710468,0.00079071504,0.0005690695,0.00021159503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007132679,0.00008450039,0.971347,0.00007869762,0.000056538975,0.00021810162,0.0014177555,0.0011445464,0.00026274502,0.0032700896,0.0033181936,0.018730588],"study_design_scores_gemma":[0.0000068377326,0.000014077709,0.99216276,0.000037842354,0.000016435217,0.000028626977,0.0010713578,0.0006576156,0.00011385868,0.00020229828,0.0056750327,0.000013297681],"about_ca_topic_score_codex":0.9908471,"about_ca_topic_score_gemma":0.9950176,"teacher_disagreement_score":0.025507305,"about_ca_system_score_codex":0.025507305,"about_ca_system_score_gemma":0.027553951,"threshold_uncertainty_score":0.18506926},"labels":[],"label_agreement":null},{"id":"W4409579979","doi":"10.61091/jcmcc127a-083","title":"Exploring the path of regional industrial upgrading and talent supply driven by new quality productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Path (computing); Quality (philosophy); Business; Industrial organization; Economic geography; Operations management; Economics; Computer science; Economic growth","score_opus":0.09136277315259696,"score_gpt":0.2660247129613599,"score_spread":0.17466193980876293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973815,0.00044460784,0.012883462,0.000987779,0.000016682203,0.00006007297,0.0006911934,0.00009927281,0.011001993],"genre_scores_gemma":[0.9960698,0.00021489982,0.0010477512,0.000037442307,0.0000090708,0.00002497592,0.00023847343,0.0000072866605,0.0023503678],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994849,0.00009464068,0.000023790859,0.00014781572,0.00008224062,0.00016656307],"domain_scores_gemma":[0.9980414,0.00090906356,0.00043300746,0.00010701028,0.000256223,0.00025331858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067344494,0.00033888963,0.00041580503,0.0013769941,0.00038298042,0.0012598105,0.00047740017,0.0004719421,0.010863927],"category_scores_gemma":[0.003756395,0.00023232859,0.0010394858,0.0014016024,0.00050474255,0.0012985874,0.0012782156,0.00076794374,0.0006510349],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024426062,0.00020283005,0.8712581,0.00028511105,0.00050253014,0.0012050708,0.002247681,0.024353562,0.004261025,0.050853793,0.0015153966,0.04307068],"study_design_scores_gemma":[0.000085761596,0.0002642389,0.91174436,0.00008229157,0.0005629849,0.0003416715,0.0037949875,0.0517662,0.0023911984,0.022716664,0.006192577,0.000057004363],"about_ca_topic_score_codex":0.017390268,"about_ca_topic_score_gemma":0.012836493,"teacher_disagreement_score":0.017390268,"about_ca_system_score_codex":0.0012406737,"about_ca_system_score_gemma":0.0019081451,"threshold_uncertainty_score":0.036343455},"labels":[],"label_agreement":null},{"id":"W4410580616","doi":"10.3138/cpp.2024-047","title":"Identifying and Predicting Nascent High-Growth Firms Using Machine Learning","year":2025,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; Bank of Canada","funders":"","keywords":"Machine learning; Artificial intelligence; Computer science","score_opus":0.033909801558819404,"score_gpt":0.24581748880648224,"score_spread":0.21190768724766285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410580616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97432727,0.00059544854,0.021240648,0.00042807843,0.000018843284,0.000052935768,0.0011486922,0.00020843188,0.0019797792],"genre_scores_gemma":[0.983679,0.00034569897,0.011731218,0.000034804783,0.000023761388,0.000034508514,0.0022886938,0.000014259288,0.0018479333],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956864,0.0000725847,0.00003319913,0.00011932912,0.00010311781,0.000103061575],"domain_scores_gemma":[0.99579513,0.0023132775,0.000668974,0.00029116258,0.000603822,0.00032764897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012549446,0.000577884,0.00045932125,0.00262288,0.00043419175,0.0020497679,0.00055552466,0.0009077295,0.0013295391],"category_scores_gemma":[0.0053074276,0.00027875954,0.0005010443,0.0021379134,0.00034703236,0.0013754495,0.00081094814,0.00085334363,0.0007512795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017596861,0.00021140088,0.8272116,0.0000945153,0.00009945488,0.00043052572,0.00038108925,0.086416274,0.002558034,0.0018092556,0.0018673463,0.078744546],"study_design_scores_gemma":[0.000017445509,0.00009434443,0.27268305,0.00006778663,0.00004101969,0.0001326956,0.0012264965,0.71573067,0.0030797943,0.0036036056,0.003288551,0.00003462268],"about_ca_topic_score_codex":0.03523271,"about_ca_topic_score_gemma":0.04416046,"teacher_disagreement_score":0.9647673,"about_ca_system_score_codex":0.0011300826,"about_ca_system_score_gemma":0.001033922,"threshold_uncertainty_score":0.070055306},"labels":[],"label_agreement":null},{"id":"W4410884911","doi":"10.1257/pandp.20251000","title":"Robot Hubs and the Use of Robotics in US Manufacturing Establishments","year":2025,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robotics; Robot; Artificial intelligence; Manufacturing engineering; Engineering; Manufacturing; Computer science; Future of robotics; Business; Marketing","score_opus":0.02789473180951468,"score_gpt":0.20224564206911816,"score_spread":0.17435091025960348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410884911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972146,0.00013712535,0.00024772907,0.000070994865,0.0000025654913,0.000008495024,0.0014026552,0.000008651237,0.0009071691],"genre_scores_gemma":[0.9973429,0.00011803145,0.00013957555,0.000013081153,0.000006139263,0.000010598231,0.0018476109,0.0000021458532,0.0005199179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910873,0.00018718338,0.00007991931,0.00018406287,0.00023868076,0.000201457],"domain_scores_gemma":[0.97966355,0.0041900403,0.012955555,0.0005890859,0.00094776216,0.0016540652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010966528,0.0001548035,0.00023149609,0.0018141011,0.0003740482,0.00071940414,0.00041812315,0.00033088124,0.003972113],"category_scores_gemma":[0.0049892454,0.0002646854,0.00029639166,0.0025326347,0.00047292002,0.0006110391,0.00087869354,0.00066569186,0.0004952231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019303461,0.00004894128,0.9973917,0.00000906235,0.000024482559,0.000022503427,0.00013157082,0.00031903377,0.000089109875,0.00012244582,0.00028468398,0.0015371221],"study_design_scores_gemma":[0.000002104915,0.000026926318,0.9988537,0.0000076349825,0.0000067481305,0.000028011225,0.0003558892,0.00029642164,0.000038510625,0.000039939754,0.00034097352,0.0000031119398],"about_ca_topic_score_codex":0.034507133,"about_ca_topic_score_gemma":0.05969801,"teacher_disagreement_score":0.034507133,"about_ca_system_score_codex":0.00059359387,"about_ca_system_score_gemma":0.00044208823,"threshold_uncertainty_score":0.068612516},"labels":[],"label_agreement":null},{"id":"W4411115126","doi":"10.1007/978-3-031-94184-9_26","title":"The Impact of Artificial Intelligence on Total Factor Productivity in the Service Industry and Its Mechanism Research","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanism (biology); Productivity; Service (business); Factor (programming language); Business; Computer science; Economics; Marketing; Economic growth; Epistemology; Philosophy","score_opus":0.09128208385226041,"score_gpt":0.317497703635864,"score_spread":0.22621561978360358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411115126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59387946,0.027607705,0.118139215,0.01837296,0.00068663905,0.00007653932,0.00088637933,0.00057785655,0.2397732],"genre_scores_gemma":[0.98124605,0.0046075587,0.0048592244,0.00033604453,0.00036029867,0.0000141079045,0.00009974152,0.000039089784,0.00843792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991621,0.00036370964,0.000032591994,0.00014150933,0.00019253619,0.00010755672],"domain_scores_gemma":[0.982886,0.014139795,0.0007540242,0.00088309986,0.0009904993,0.0003465808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033618642,0.0006398323,0.0006717994,0.0016992708,0.00066354807,0.0039743925,0.0010958689,0.001098562,0.010328562],"category_scores_gemma":[0.015518728,0.00031147877,0.0010533228,0.0027045386,0.003051584,0.0051660943,0.0008684174,0.0015875461,0.00056511],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004675695,0.00020863312,0.017999424,0.0002903281,0.00025871088,0.00018590898,0.0002862512,0.058611613,0.001569466,0.7791786,0.0040325797,0.13691096],"study_design_scores_gemma":[0.000045619803,0.00013346021,0.020456886,0.000078462006,0.00013931796,0.00010903858,0.0003892281,0.07693521,0.0016068574,0.89180523,0.008261235,0.000039449034],"about_ca_topic_score_codex":0.006929061,"about_ca_topic_score_gemma":0.003750591,"teacher_disagreement_score":0.010328562,"about_ca_system_score_codex":0.0021504692,"about_ca_system_score_gemma":0.0017164815,"threshold_uncertainty_score":0.034552455},"labels":[],"label_agreement":null},{"id":"W4411463774","doi":"10.1515/bejm-2024-0051","title":"Financial Frictions at Entry, Average Firm Size, and Productivity","year":2025,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Productivity; Investment (military); Limiting; Economics; Variance (accounting); Total factor productivity; Econometrics; Monetary economics; Finance; Business; Macroeconomics; Accounting","score_opus":0.011546270862397758,"score_gpt":0.20753051117418106,"score_spread":0.1959842403117833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411463774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867192,0.00042028862,0.0028341657,0.00080013205,0.000008549294,0.000020707424,0.0010543995,0.000034351753,0.008108058],"genre_scores_gemma":[0.99880326,0.000102000544,0.00010306579,0.000022295833,0.0000063993566,0.000004817445,0.00016268349,0.0000016362858,0.00079377106],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994172,0.000110984554,0.00003789291,0.00010656742,0.0000591315,0.00026827096],"domain_scores_gemma":[0.98192924,0.009129132,0.0066378266,0.0005456826,0.00034412407,0.001413959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014598756,0.00028576984,0.0010051108,0.0009274773,0.0005439431,0.0040161903,0.00053813664,0.0013309695,0.010509264],"category_scores_gemma":[0.011237041,0.00031957476,0.0005490724,0.0012277354,0.001283523,0.002106534,0.0010552986,0.0011680557,0.0005807038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006198456,0.0004705689,0.76260316,0.00020118008,0.0002422565,0.0013971872,0.0005870869,0.15119067,0.0019033212,0.061907966,0.0038197704,0.0150569845],"study_design_scores_gemma":[0.00020191868,0.00041077568,0.72923136,0.0002868869,0.00025026084,0.0009158624,0.001965314,0.16139092,0.0018206493,0.0990165,0.004325285,0.00018425539],"about_ca_topic_score_codex":0.013035242,"about_ca_topic_score_gemma":0.0086590685,"teacher_disagreement_score":0.013035242,"about_ca_system_score_codex":0.0014910635,"about_ca_system_score_gemma":0.00095177005,"threshold_uncertainty_score":0.035156965},"labels":[],"label_agreement":null},{"id":"W4411627871","doi":"10.1787/4b014905-en","title":"Productivity among firms patenting in fourth industrial revolution technologies","year":2025,"lang":"en","type":"report","venue":"OECD science, technology and industry working papers","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Industrial Revolution; Business; Industrial organization; Economics; Agricultural economics; Geography; Economic growth","score_opus":0.06252025907045242,"score_gpt":0.2532182464962812,"score_spread":0.1906979874258288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411627871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918824,0.00063833897,0.00009138318,0.00027452904,0.000008128288,0.000008397239,0.0019443479,0.000013289284,0.005139152],"genre_scores_gemma":[0.99615604,0.00030243158,0.000027049557,0.000018437313,0.000009941642,0.000002413539,0.0015414542,0.0000019876989,0.0019402473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989409,0.000049594248,0.000037406724,0.00012624373,0.00038753718,0.0004583616],"domain_scores_gemma":[0.99070716,0.0019470569,0.0038018974,0.00026919754,0.0017206288,0.0015539961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090689835,0.00013679234,0.00032280068,0.0032415544,0.00052940985,0.0020070635,0.00048352862,0.00031930098,0.0032143216],"category_scores_gemma":[0.006374198,0.00008335093,0.00032798084,0.0047507677,0.00058292085,0.0005270728,0.00067098363,0.00048918143,0.0005754895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006534922,0.000048757112,0.9822326,0.0000308463,0.000046544686,0.00010694435,0.0005724185,0.00065094227,0.00044267913,0.000802339,0.0013779908,0.013622493],"study_design_scores_gemma":[0.0000038071194,0.000026268972,0.99641114,0.000009142809,0.000014963457,0.000031339798,0.000692575,0.00031216323,0.00019345684,0.00010009483,0.0021992172,0.0000057751467],"about_ca_topic_score_codex":0.5156949,"about_ca_topic_score_gemma":0.48830733,"teacher_disagreement_score":0.5156949,"about_ca_system_score_codex":0.0047298977,"about_ca_system_score_gemma":0.004514509,"threshold_uncertainty_score":0.9743145},"labels":[],"label_agreement":null},{"id":"W4412444342","doi":"10.1162/rest.a.266","title":"Decomposing the Within-Firm Productivity Gains from Trade: Evidence from India","year":2025,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Productivity; Economics; International economics; International trade; Monetary economics; Macroeconomics","score_opus":0.0575762393892889,"score_gpt":0.28091897328808046,"score_spread":0.22334273389879156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412444342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800755,0.00375843,0.0022593492,0.00054937066,0.000016995702,0.000017466626,0.0016552436,0.000063922314,0.011603705],"genre_scores_gemma":[0.9971788,0.0011175696,0.0003252788,0.000043810396,0.000024395464,0.0000044528865,0.0008251723,0.0000064962596,0.0004740559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915326,0.00016694823,0.000063170184,0.00018036713,0.00024648375,0.00018985961],"domain_scores_gemma":[0.98896956,0.0053304695,0.0030669847,0.0009091089,0.0013961549,0.00032776615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011002414,0.00034870583,0.00033399093,0.0035423788,0.00033020024,0.0017079496,0.0005028126,0.00025153285,0.0023076641],"category_scores_gemma":[0.004744605,0.00018038644,0.00092818984,0.006361623,0.0009915478,0.0008286131,0.0011480876,0.00078128534,0.00052356906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026238617,0.00008502281,0.91726494,0.00042253936,0.00079138,0.00068447395,0.0010476366,0.008373643,0.0013570775,0.0064589637,0.0018741213,0.06137786],"study_design_scores_gemma":[0.000012255139,0.000063922605,0.98773104,0.00008317306,0.00035945445,0.00015014775,0.0012415171,0.003235038,0.0010821407,0.0023248876,0.0036940763,0.000022428461],"about_ca_topic_score_codex":0.049816214,"about_ca_topic_score_gemma":0.043115295,"teacher_disagreement_score":0.049816214,"about_ca_system_score_codex":0.0011842907,"about_ca_system_score_gemma":0.0008356638,"threshold_uncertainty_score":0.09905249},"labels":[],"label_agreement":null},{"id":"W4412596678","doi":"10.4018/979-8-3693-9611-7.ch003","title":"AI and Employment Transformation in Canadian SMEs","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Transformation (genetics); Business","score_opus":0.022826472666163406,"score_gpt":0.2551554044789565,"score_spread":0.2323289318127931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412596678","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05054633,0.03346202,0.00072584674,0.037201997,0.00090224214,0.000031016956,0.0005608182,0.00010302214,0.87646663],"genre_scores_gemma":[0.48038337,0.049364913,0.0012578255,0.0038933987,0.00020108362,0.00002851907,0.00048139153,0.0000711742,0.46431834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995546,0.000029061017,0.0000072417283,0.000025136498,0.00022489588,0.00015907011],"domain_scores_gemma":[0.99959666,0.00006239229,0.000016518237,0.000011145567,0.00018133214,0.00013189705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039706015,0.0002566296,0.00013241495,0.0016192163,0.006895546,0.0038856743,0.00068689045,0.000905903,0.011222814],"category_scores_gemma":[0.0009059086,0.00012229581,0.00023200718,0.00442242,0.0025762464,0.00094236806,0.001254097,0.0012040152,0.0011050801],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033404976,0.000030511796,0.0032444661,0.00032185923,0.000006596525,0.001171138,0.025791602,0.001350368,0.00096287415,0.45988265,0.2996488,0.20755579],"study_design_scores_gemma":[0.0000025809168,0.0000060237694,0.005937445,0.00020615046,0.0000038374915,0.00013792011,0.009664143,0.00036886902,0.00030808037,0.0066107465,0.9767363,0.00001789116],"about_ca_topic_score_codex":0.9777625,"about_ca_topic_score_gemma":0.9917498,"teacher_disagreement_score":0.07101192,"about_ca_system_score_codex":0.07101192,"about_ca_system_score_gemma":0.07391505,"threshold_uncertainty_score":0.51522994},"labels":[],"label_agreement":null},{"id":"W4412669829","doi":"10.1111/radm.70009","title":"The Impact of Industry 4.0 and State Incentives on Firms' Skills Needs: An Empirical Investigation of the Italian Manufacturing Sector","year":2025,"lang":"en","type":"article","venue":"R and D Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Incentive; Business; Industrial organization; State (computer science); Manufacturing sector; Manufacturing; Empirical research; Marketing; Economics; Labour economics; Microeconomics; Computer science","score_opus":0.020835293792600882,"score_gpt":0.26171721927401315,"score_spread":0.24088192548141227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412669829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971282,0.000044180328,0.00004726523,0.00015315454,8.847832e-7,0.000015661995,0.000051312578,0.0000015753994,0.00255791],"genre_scores_gemma":[0.9995359,0.000034809473,0.000042182735,0.00003004034,0.0000029081862,0.000014047824,0.000060794428,5.694417e-7,0.00027878545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821705,0.0007319234,0.0000860973,0.00012740349,0.00029120292,0.00054622896],"domain_scores_gemma":[0.9803447,0.009687874,0.007433414,0.00058626593,0.00092100684,0.0010266909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022656422,0.00015754063,0.00023131672,0.0022120127,0.0009387969,0.0018313794,0.00054442545,0.00078920013,0.0035324756],"category_scores_gemma":[0.009887186,0.00016624236,0.0002356109,0.002903935,0.0014042096,0.0008898859,0.0017954243,0.0006954048,0.00037310866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014634586,0.0005731735,0.9666003,0.0001239975,0.000024825811,0.0003794124,0.015757354,0.0005938564,0.000989254,0.0027234713,0.00067493046,0.011412976],"study_design_scores_gemma":[0.0000073583387,0.000118078846,0.9791043,0.00004500596,0.000009016966,0.000053315984,0.01798194,0.00073138013,0.00014181912,0.00017066648,0.0016275303,0.000009637291],"about_ca_topic_score_codex":0.021535309,"about_ca_topic_score_gemma":0.025962856,"teacher_disagreement_score":0.021535309,"about_ca_system_score_codex":0.0026760562,"about_ca_system_score_gemma":0.0018515413,"threshold_uncertainty_score":0.042819917},"labels":[],"label_agreement":null},{"id":"W4412869232","doi":"10.33423/jabe.v27i3.7722","title":"Market Power in the Market for Business Locations and Firm-Specific Incentives in the U.S.","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market power; Incentive; Business; Power (physics); Industrial organization; Economics; Market economy","score_opus":0.016334141398679905,"score_gpt":0.2062205636785302,"score_spread":0.1898864222798503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412869232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98172486,0.00040584314,0.00071919925,0.0029517116,0.000010330599,0.000007477365,0.00023420222,0.000010562117,0.013935761],"genre_scores_gemma":[0.99904567,0.00009967604,0.00009064095,0.00009531686,0.0000054671877,0.0000020858286,0.00004327181,0.0000010399422,0.0006167965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970144,0.00008232334,0.0000130486305,0.000056733996,0.00005529015,0.00009121005],"domain_scores_gemma":[0.9963586,0.0014123836,0.001281244,0.00006289181,0.00023799085,0.0006468485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005471566,0.00007684595,0.00020587663,0.00077471003,0.00060375367,0.0018109703,0.00021450125,0.0005580606,0.004825809],"category_scores_gemma":[0.00292364,0.00014607178,0.00010800116,0.0012139734,0.00095401244,0.0015795819,0.0009026892,0.00074152957,0.00029372715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042016307,0.0007845171,0.71998245,0.00014274166,0.00013786185,0.0010928889,0.0035384465,0.010749709,0.0026372566,0.15310532,0.018247876,0.08916081],"study_design_scores_gemma":[0.00012918215,0.00020052725,0.9008922,0.000112980146,0.00005180803,0.00024992414,0.0063586137,0.01999009,0.000514397,0.048989575,0.02245164,0.000059121736],"about_ca_topic_score_codex":0.043379877,"about_ca_topic_score_gemma":0.115292266,"teacher_disagreement_score":0.043379877,"about_ca_system_score_codex":0.0015438065,"about_ca_system_score_gemma":0.0009875322,"threshold_uncertainty_score":0.086254776},"labels":[],"label_agreement":null},{"id":"W4412977720","doi":"10.24148/wp2025-13","title":"Firm Search in the Labor Market: Evidence from Help-Wanted Advertisements","year":2025,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science","score_opus":0.044721532355089876,"score_gpt":0.26515654910103115,"score_spread":0.22043501674594126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412977720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198127,0.0009789484,0.00009282459,0.00026563604,0.000007554972,0.000008929787,0.0032500646,0.000008375618,0.003406412],"genre_scores_gemma":[0.9943763,0.00063118595,0.00006598192,0.000062375955,0.000027253209,0.000010416595,0.0029255005,0.000006877238,0.0018941269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994867,0.00013110379,0.000052081046,0.000096440315,0.0001231759,0.00011050801],"domain_scores_gemma":[0.9784359,0.006108104,0.0119550275,0.00082521193,0.0011506651,0.0015252576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010624668,0.0002074107,0.00031127187,0.0032802755,0.00044689412,0.0012986313,0.00046101815,0.00062110357,0.006061965],"category_scores_gemma":[0.008183218,0.00028105406,0.00031447725,0.0049665393,0.0005025891,0.0011054091,0.00088306353,0.00062436255,0.0014424758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024571663,0.00007667676,0.99121946,0.00006993526,0.00006500555,0.0000661618,0.0007738607,0.00021089638,0.000159595,0.0002045521,0.0012865555,0.005621686],"study_design_scores_gemma":[0.0000069785347,0.000042116502,0.9981084,0.000016316215,0.000021231137,0.000028584525,0.0005259535,0.00019411766,0.0000754024,0.000029592504,0.0009458527,0.000005519365],"about_ca_topic_score_codex":0.0640117,"about_ca_topic_score_gemma":0.107246876,"teacher_disagreement_score":0.0640117,"about_ca_system_score_codex":0.0006924856,"about_ca_system_score_gemma":0.00037249722,"threshold_uncertainty_score":0.12727821},"labels":[],"label_agreement":null},{"id":"W4413026416","doi":"10.2139/ssrn.5380732","title":"Worker and Firm Search in the Labor Market: Evidence from Classified Advertisements *","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Advertising; Labour economics; Economics","score_opus":0.02629149113523995,"score_gpt":0.25500388206599367,"score_spread":0.2287123909307537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413026416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927736,0.0016861887,0.00007423215,0.00046083328,0.000018871975,0.000015018513,0.0007474529,0.00000644909,0.0042174766],"genre_scores_gemma":[0.995619,0.0008909209,0.000052879637,0.00018310694,0.00012089341,0.000010019793,0.0007458476,0.0000068940526,0.0023702616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987741,0.000470094,0.00010449606,0.00014060852,0.00031981646,0.00019084699],"domain_scores_gemma":[0.9064284,0.065086074,0.021144448,0.0021869286,0.0020385757,0.0031155816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002734958,0.00024374708,0.0006784468,0.0024048942,0.00062134187,0.002888636,0.0007392668,0.0018346494,0.012194007],"category_scores_gemma":[0.025362516,0.00032276835,0.00043737423,0.002975611,0.0007494475,0.0014590167,0.0006337626,0.0011456371,0.0022211592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033112557,0.0013789743,0.9721433,0.00020735314,0.00023245804,0.00024035385,0.0014649716,0.00040524278,0.00056811183,0.0009957004,0.002013109,0.017039204],"study_design_scores_gemma":[0.00014450529,0.00041715492,0.99463683,0.00006502607,0.00016504328,0.00013854844,0.0012887848,0.00080787577,0.00022168247,0.0006778206,0.0014171645,0.000019615201],"about_ca_topic_score_codex":0.015463829,"about_ca_topic_score_gemma":0.0133614335,"teacher_disagreement_score":0.015463829,"about_ca_system_score_codex":0.000519346,"about_ca_system_score_gemma":0.0006157673,"threshold_uncertainty_score":0.040793},"labels":[],"label_agreement":null},{"id":"W4413447058","doi":"10.5430/afr.v14n3p1","title":"Do the Benefits of Innovations Spill Over from Suppliers to Customers?","year":2025,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Profitability index; Supply chain; Spillover effect; Industrial organization; Marketing; Supply chain management; Customer relationship management; Economics; Microeconomics; Finance","score_opus":0.0558846679070229,"score_gpt":0.31722700090787237,"score_spread":0.26134233300084947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413447058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84231925,0.005316353,0.009142084,0.027681975,0.00010179045,0.000054078962,0.000446683,0.00008344102,0.11485431],"genre_scores_gemma":[0.9959403,0.0010313693,0.00028880165,0.00079460465,0.000049478116,0.000010468899,0.000041840187,0.000006812996,0.0018363112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986998,0.00039934728,0.00004182153,0.00021943216,0.0003149792,0.00032459892],"domain_scores_gemma":[0.9877385,0.0077349422,0.0017442525,0.0005446248,0.00143195,0.00080588524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016155381,0.00023503674,0.0005317311,0.0011273549,0.0010268555,0.0034611912,0.0004909299,0.0019285529,0.020058949],"category_scores_gemma":[0.013597318,0.0002471445,0.0005889309,0.0021482029,0.0017147625,0.009366455,0.0018996402,0.001484229,0.0012625464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005972809,0.00054256234,0.4765008,0.0009000105,0.00032301035,0.0020257153,0.0131514575,0.009479746,0.004117616,0.19777383,0.009499975,0.2850881],"study_design_scores_gemma":[0.00012599073,0.0006192991,0.5373765,0.00091507845,0.00050986314,0.0017482234,0.04998113,0.011469384,0.004778244,0.33502042,0.057288755,0.00016700757],"about_ca_topic_score_codex":0.005109071,"about_ca_topic_score_gemma":0.0063326745,"teacher_disagreement_score":0.020058949,"about_ca_system_score_codex":0.0021203372,"about_ca_system_score_gemma":0.0017447633,"threshold_uncertainty_score":0.06710392},"labels":[],"label_agreement":null},{"id":"W4413468549","doi":"10.2139/ssrn.5392628","title":"Serial Acquisitions in Tech&amp;nbsp;","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Chemistry; Computer science","score_opus":0.023834260608093807,"score_gpt":0.25026003886117515,"score_spread":0.22642577825308136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413468549","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023168297,0.016828062,0.0075414185,0.044049807,0.0088233845,0.00018581474,0.18624674,0.004940468,0.7082161],"genre_scores_gemma":[0.06914028,0.0056194016,0.0032949836,0.0007307547,0.0023415165,0.00011609176,0.041633643,0.001088906,0.8760344],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989411,0.00012725321,0.00012062358,0.0002900605,0.00039783528,0.00012307025],"domain_scores_gemma":[0.99659413,0.0010418717,0.0008129182,0.00035763593,0.0008570281,0.00033638236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015439418,0.0012630497,0.0014279425,0.0035904779,0.001139007,0.0063060224,0.0008583741,0.0022424315,0.23346104],"category_scores_gemma":[0.008029165,0.00070749945,0.00036540796,0.00951727,0.0006805339,0.0046329494,0.0012142904,0.0018655175,0.077038296],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013153655,0.00005536187,0.0026673484,0.00019020529,0.000021198251,0.00010080978,0.00008271039,0.000451268,0.00015773762,0.024234738,0.9081942,0.06371288],"study_design_scores_gemma":[0.000108718996,0.00005239778,0.01590635,0.0002777704,0.000044031967,0.0002104839,0.00014444164,0.0026422571,0.0015922491,0.025297953,0.9536911,0.000032246196],"about_ca_topic_score_codex":0.024086967,"about_ca_topic_score_gemma":0.038465634,"teacher_disagreement_score":0.23346104,"about_ca_system_score_codex":0.0038282606,"about_ca_system_score_gemma":0.0021461607,"threshold_uncertainty_score":0.78100497},"labels":[],"label_agreement":null},{"id":"W4413988133","doi":"10.70754/biibfd.1742833","title":"Investigation of Labor Market Performances of G7 Countries with Integrated Standard Deviation and Gray Relational Analysis Methods","year":2025,"lang":"en","type":"article","venue":"Biga İktisadi ve İdari Bilimler Fakültesi Dergisi","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gray (unit); Standard deviation; Econometrics; Economics; Computer science; Mathematics; Statistics; Medicine","score_opus":0.021345042431331666,"score_gpt":0.25444386400118024,"score_spread":0.23309882156984857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413988133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814636,0.0005697818,0.009373938,0.0001592114,0.000017115368,0.00008796757,0.00074074965,0.00003487515,0.0075526848],"genre_scores_gemma":[0.9939154,0.00013367206,0.00477997,0.000015459167,0.0000069512203,0.000050858223,0.00059975346,0.0000066355387,0.00049127796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800843,0.00073913246,0.00012225637,0.00024191877,0.0006352541,0.000252916],"domain_scores_gemma":[0.99731606,0.001075826,0.00050255266,0.00018341732,0.00079270935,0.00012942315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004180189,0.0005088094,0.00060176454,0.006154899,0.00039335332,0.0017059483,0.00043443294,0.00043675452,0.0014469052],"category_scores_gemma":[0.0058356295,0.00012831138,0.0010806703,0.0063506337,0.00055848603,0.00077522924,0.0012528839,0.0004154001,0.00020558768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046992805,0.00023290564,0.7409146,0.00040573874,0.0008545568,0.00044476258,0.0021238409,0.07897783,0.0017034339,0.011208433,0.0026056198,0.16005833],"study_design_scores_gemma":[0.00004275387,0.0006445507,0.7408162,0.00022152906,0.00044451162,0.00018926493,0.0101000955,0.22895318,0.0034132085,0.0072631,0.0077920947,0.00011947005],"about_ca_topic_score_codex":0.012662987,"about_ca_topic_score_gemma":0.012923653,"teacher_disagreement_score":0.012662987,"about_ca_system_score_codex":0.0015338551,"about_ca_system_score_gemma":0.00125083,"threshold_uncertainty_score":0.025178552},"labels":[],"label_agreement":null},{"id":"W4414100595","doi":"10.1016/j.jpubeco.2025.105477","title":"Measuring small business dynamics and employment with private-sector real-time data","year":2025,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council","keywords":"Small business; Dynamics (music); Business cycle; Small open economy","score_opus":0.08889443679195132,"score_gpt":0.2234863745225541,"score_spread":0.1345919377306028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414100595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98243916,0.00014445366,0.0025429628,0.00024657304,0.000015915844,0.000021157157,0.01333604,0.000057992595,0.0011956578],"genre_scores_gemma":[0.9844208,0.000115716204,0.0015581197,0.000021310754,0.000036020956,0.0000243591,0.013299416,0.000012275889,0.0005119551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905473,0.00025748945,0.000118066826,0.00021637588,0.00022724684,0.00012609735],"domain_scores_gemma":[0.98916817,0.0044988776,0.0035330367,0.0011309863,0.0009944445,0.0006744954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013354255,0.00032934354,0.00034960068,0.002511681,0.00022833377,0.001013234,0.0005754475,0.0007451149,0.0017363679],"category_scores_gemma":[0.010317591,0.0002489041,0.00032940728,0.0048615932,0.00029625325,0.001475454,0.000695001,0.0005719221,0.0012000655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002749511,0.00029387377,0.9581261,0.00008356046,0.00022798836,0.00016762524,0.0003051511,0.014061195,0.001772933,0.00100277,0.0036894106,0.019994333],"study_design_scores_gemma":[0.000029834548,0.00011628115,0.9510998,0.000028638298,0.00004968853,0.00012639571,0.00062849396,0.040105112,0.0016893102,0.0014380582,0.0046623982,0.000026010519],"about_ca_topic_score_codex":0.011813744,"about_ca_topic_score_gemma":0.013535454,"teacher_disagreement_score":0.011813744,"about_ca_system_score_codex":0.00044050737,"about_ca_system_score_gemma":0.00044729284,"threshold_uncertainty_score":0.023489952},"labels":[],"label_agreement":null},{"id":"W4414485537","doi":"10.33423/jabe.v27i5.7831","title":"Exxon Mobil Acquisition of Pioneer Natural Resources: A Test of Market Efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Event study; Efficient-market hypothesis; Market efficiency; Stock market index; Efficient energy use","score_opus":0.007674064179423974,"score_gpt":0.1837794274005431,"score_spread":0.1761053632211191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414485537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98969823,0.000058873735,0.0023447173,0.00031233914,0.000008355489,0.000086603926,0.00009739844,0.000012509518,0.0073810066],"genre_scores_gemma":[0.9986644,0.000024185612,0.0007310778,0.000043760585,0.000014241791,0.00002208822,0.00007517629,0.0000034566353,0.00042166762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755776,0.0009095533,0.00022330819,0.00046318478,0.0005868795,0.0002592479],"domain_scores_gemma":[0.92430556,0.058463883,0.0113882935,0.00336803,0.001306791,0.0011674982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009463852,0.0002164652,0.00046732335,0.00070561876,0.00057126366,0.0021509617,0.0006158333,0.000671131,0.0032907124],"category_scores_gemma":[0.041092113,0.00015976226,0.0005681593,0.0004299093,0.001884894,0.0028380181,0.0013916828,0.0008778487,0.00022300774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006962647,0.0038034364,0.7450647,0.00030398445,0.0008320388,0.00074924465,0.0015380856,0.032717884,0.011697863,0.1066232,0.002120465,0.08758647],"study_design_scores_gemma":[0.00092583685,0.008330605,0.74755985,0.00007222513,0.00033568576,0.0003387215,0.0029809012,0.16497833,0.012399462,0.058048643,0.003932569,0.000097162556],"about_ca_topic_score_codex":0.0019872682,"about_ca_topic_score_gemma":0.0011220857,"teacher_disagreement_score":0.009463852,"about_ca_system_score_codex":0.0006705678,"about_ca_system_score_gemma":0.0008364815,"threshold_uncertainty_score":0.0500502},"labels":[],"label_agreement":null},{"id":"W4414685091","doi":"","title":"Employment Adjustments to Increased Imports: Evidence from a Developing Country","year":2025,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Killam Trusts","keywords":"Developing country; Differential (mechanical device); Agriculture; Developed country; Identification (biology); Variation (astronomy)","score_opus":0.028501290303848105,"score_gpt":0.2467181892693872,"score_spread":0.2182168989655391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414685091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99203694,0.00075778674,0.000073161806,0.00027044336,0.00001119603,0.0000052639834,0.0013324333,0.000009035659,0.0055035423],"genre_scores_gemma":[0.9958897,0.0011821446,0.00006307997,0.000086517044,0.000019445488,0.0000034956424,0.001480156,0.000007300463,0.0012681695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997154,0.000056120774,0.00002194207,0.000059716676,0.00005805651,0.00008878246],"domain_scores_gemma":[0.99781215,0.00041374844,0.00116086,0.00017880564,0.00024780544,0.00018664137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004626318,0.00017931327,0.00022655855,0.0009994488,0.00036618664,0.0009852978,0.00027074595,0.0002820362,0.003653988],"category_scores_gemma":[0.0018039424,0.00014611606,0.00040948897,0.0027229905,0.000567359,0.00034476985,0.0011530865,0.00057387934,0.0007340113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060668803,0.00016347965,0.96691096,0.00021927962,0.00019335531,0.0011265702,0.0017234493,0.0015820238,0.0008622832,0.0008299261,0.0020936355,0.023688346],"study_design_scores_gemma":[0.0000061344695,0.000054670563,0.9960748,0.00002708718,0.00003650879,0.00009523029,0.0010033571,0.00009326954,0.000219286,0.000047343936,0.0023367386,0.000005621323],"about_ca_topic_score_codex":0.030001072,"about_ca_topic_score_gemma":0.042502824,"teacher_disagreement_score":0.030001072,"about_ca_system_score_codex":0.00055781496,"about_ca_system_score_gemma":0.00046636187,"threshold_uncertainty_score":0.059652925},"labels":[],"label_agreement":null},{"id":"W4414891033","doi":"","title":"The Minimum Wage in Firms' Organizations: Productivity Implications","year":2024,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Université Paris-Saclay; Agence Nationale de la Recherche","keywords":"Productivity; General equilibrium theory; Revenue; Aggregate (composite); Minimum wage; Efficiency wage","score_opus":0.018504731671940344,"score_gpt":0.21905631147879728,"score_spread":0.20055157980685695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414891033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655708,0.00066494785,0.013555715,0.0055770604,0.000026568821,0.000014866637,0.00042722427,0.00006249812,0.01410023],"genre_scores_gemma":[0.9987797,0.00005825718,0.0005192943,0.00003715365,0.000017100552,0.0000054965517,0.000055223423,0.0000036551992,0.0005241635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986326,0.00033326563,0.000056605277,0.0002681207,0.00021601297,0.00049336394],"domain_scores_gemma":[0.9911794,0.003909853,0.0028910672,0.0004889776,0.000645464,0.00088522816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179784,0.00020924151,0.0005234932,0.0010084425,0.0010948871,0.0031947887,0.0007451437,0.0014372789,0.0053431443],"category_scores_gemma":[0.013251884,0.00022952771,0.00039848156,0.0013381629,0.0018874515,0.002183861,0.0010149229,0.0012788988,0.00037829968],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006747459,0.00062211417,0.36140722,0.00031315323,0.00011054872,0.00087165966,0.004355407,0.119864285,0.0047812006,0.4153956,0.0075083105,0.08409576],"study_design_scores_gemma":[0.0002699296,0.0002853587,0.44977164,0.00014879643,0.000036836762,0.00029989588,0.0052684164,0.10683182,0.0015392194,0.42780897,0.0076659834,0.000073194045],"about_ca_topic_score_codex":0.01577463,"about_ca_topic_score_gemma":0.015157504,"teacher_disagreement_score":0.01577463,"about_ca_system_score_codex":0.0038888073,"about_ca_system_score_gemma":0.0013759048,"threshold_uncertainty_score":0.031365633},"labels":[],"label_agreement":null},{"id":"W4415586961","doi":"10.21083/crrf.v32i1.8541","title":"Rural Employment &amp; Workforce Development: Impacts and Opportunities","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Workforce; Workforce development; Rural area; Government (linguistics); Work (physics); Panel data","score_opus":0.05108574114922981,"score_gpt":0.249505273097133,"score_spread":0.19841953194790318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415586961","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040019923,0.020598827,0.000345488,0.78969693,0.013493226,0.00012268785,0.0016262004,0.000109563065,0.17000502],"genre_scores_gemma":[0.068209685,0.041268505,0.0008233814,0.09936517,0.010044743,0.00017116114,0.001295813,0.00013159598,0.77869004],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988674,0.00013407914,0.000019547277,0.00007666941,0.000563947,0.00033842004],"domain_scores_gemma":[0.99754333,0.00034946963,0.00009294614,0.000037715858,0.00075928424,0.0012172606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027710076,0.00041977913,0.00026519946,0.0008321036,0.0040093525,0.003764532,0.0009065502,0.0047493293,0.052245237],"category_scores_gemma":[0.0024253041,0.00022093937,0.00022622525,0.0017953713,0.0010985092,0.0016283379,0.0026416504,0.0026914119,0.005950626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018997333,0.000018565826,0.0004138762,0.00008505565,0.0000014336184,0.00004273426,0.00024534663,0.000058330763,0.00019184357,0.0025777698,0.976349,0.019997029],"study_design_scores_gemma":[0.000011153465,0.00002008834,0.0051202998,0.00014905832,0.000004036717,0.000023127626,0.00150958,0.000059898397,0.00014576211,0.0013854664,0.99155736,0.000014152419],"about_ca_topic_score_codex":0.1549216,"about_ca_topic_score_gemma":0.42996317,"teacher_disagreement_score":0.8450784,"about_ca_system_score_codex":0.0054193763,"about_ca_system_score_gemma":0.025194949,"threshold_uncertainty_score":0.30803967},"labels":[],"label_agreement":null},{"id":"W4415932601","doi":"10.3390/jrfm18110619","title":"R&amp;D Investment, Skill-Based Wage Gap, and Firm Innovation Performance: Evidence from Chinese Listed Companies","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Panel data; Wage; Investment (military); Robustness (evolution); Instrumental variable; Capital call; Human capital","score_opus":0.026964762727259263,"score_gpt":0.24582294714807762,"score_spread":0.21885818442081836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415932601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910504,0.00015033383,0.000046708104,0.00006639864,0.0000015682863,0.0000027251106,0.0002099652,0.0000017116802,0.0004155442],"genre_scores_gemma":[0.9993674,0.000089699985,0.000019126772,0.000016581107,0.0000042659494,0.0000020913928,0.0003289075,4.3331383e-7,0.00017161135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996221,0.000053507487,0.000044348566,0.00008032907,0.00009768327,0.00010200407],"domain_scores_gemma":[0.9963232,0.00094055675,0.0017740666,0.0001962976,0.00033911457,0.0004267732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011159164,0.00027255868,0.00026933377,0.0015012952,0.000488646,0.00071809586,0.00042233308,0.00032572512,0.0015554738],"category_scores_gemma":[0.0019719284,0.00013146708,0.00053207076,0.001807056,0.0005155872,0.00041444667,0.00068289455,0.00033995535,0.00020866234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029427516,0.000036696343,0.995883,0.000021477705,0.000056250265,0.00009905803,0.00022850312,0.00028450828,0.00017418066,0.00017443918,0.00014156454,0.0028709613],"study_design_scores_gemma":[0.000003239034,0.00002102066,0.99876535,0.0000059024587,0.00004098478,0.000017030585,0.00024630278,0.0005555141,0.00011140681,0.00004441556,0.00018545247,0.0000033896195],"about_ca_topic_score_codex":0.0499293,"about_ca_topic_score_gemma":0.07109072,"teacher_disagreement_score":0.0499293,"about_ca_system_score_codex":0.0007286147,"about_ca_system_score_gemma":0.0011938233,"threshold_uncertainty_score":0.09927732},"labels":[],"label_agreement":null},{"id":"W4416392604","doi":"10.3390/jrfm18110647","title":"Labour Productivity in European Non-Financial Corporations: The Roles of Country, Sector, and Size","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Instituto Politécnico de Lisboa; Canadian Intensive Care Foundation","keywords":"Productivity; Proxy (statistics); Profitability index; European union; Leverage (statistics); Panel data; Human capital; Gross value added","score_opus":0.007964627361642978,"score_gpt":0.1905514552417555,"score_spread":0.18258682788011255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416392604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993982,0.0009184206,0.0006936263,0.00011918867,0.000011464793,0.000009395473,0.0013859184,0.000010110314,0.0028698759],"genre_scores_gemma":[0.9969645,0.00029647193,0.00017069172,0.000017275937,0.000011913446,0.000008177871,0.0019705878,0.0000037228951,0.0005567081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894255,0.00026530228,0.0000985236,0.00026063953,0.00019970226,0.00023336898],"domain_scores_gemma":[0.993719,0.00225637,0.0026869113,0.00036992464,0.0005084214,0.0004593921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017524918,0.00026582624,0.00034590965,0.002623393,0.0002243323,0.001427065,0.00035470052,0.00028878864,0.0022068908],"category_scores_gemma":[0.0061516943,0.00010321092,0.00040321355,0.004108821,0.00044378286,0.00091473054,0.0012191933,0.0002883391,0.0005560028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088742585,0.000040589235,0.98208135,0.000042075797,0.00007532247,0.00013016864,0.00051167654,0.0012301898,0.00012120817,0.00048723552,0.0005272713,0.014664064],"study_design_scores_gemma":[0.0000021816961,0.000026202522,0.99722975,0.000026908754,0.000012974604,0.000035516343,0.0006209636,0.0004735767,0.000084258165,0.00020823332,0.0012755673,0.000003957808],"about_ca_topic_score_codex":0.006534069,"about_ca_topic_score_gemma":0.005794145,"teacher_disagreement_score":0.006534069,"about_ca_system_score_codex":0.0004739745,"about_ca_system_score_gemma":0.0002945415,"threshold_uncertainty_score":0.012992084},"labels":[],"label_agreement":null},{"id":"W577248656","doi":"10.4337/9781781003022","title":"Strategic innovation in small firms : an international analysis of innovation and strategic decision making in small to medium sized enterprises","year":2011,"lang":"en","type":"book","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flemish; Context (archaeology); Management; Index (typography); Entrepreneurship; Political science; Geography; Economics; Law; Archaeology","score_opus":0.0993360295059015,"score_gpt":0.280106809359183,"score_spread":0.1807707798532815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577248656","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49305516,0.020637354,0.071463324,0.0073019005,0.00036593617,0.0003264156,0.0009669651,0.00012341922,0.4057595],"genre_scores_gemma":[0.9747201,0.0061792457,0.008301915,0.00014793017,0.00006831795,0.00013920496,0.00032273994,0.000024014655,0.010096561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999471,0.0002519981,0.00004370389,0.00004509064,0.000116945404,0.00007124283],"domain_scores_gemma":[0.9970216,0.0021562872,0.0002693622,0.00009704819,0.0002588475,0.00019682391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368033,0.00018124121,0.00021263823,0.0016396715,0.00080461404,0.0043776394,0.00026669062,0.0003440316,0.0065376232],"category_scores_gemma":[0.0033558223,0.00009603994,0.00045777127,0.0038488572,0.0012441848,0.002429618,0.0008656877,0.0006936633,0.0004188462],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012967939,0.00014216549,0.04455388,0.00073068903,0.00006231432,0.00046724002,0.01657023,0.014297779,0.0010058576,0.74830276,0.012393027,0.16134435],"study_design_scores_gemma":[0.000024636029,0.00028685207,0.1830815,0.0015141472,0.00012547424,0.00083581917,0.051323622,0.04777753,0.0017427496,0.43039948,0.2827884,0.000099776684],"about_ca_topic_score_codex":0.004910834,"about_ca_topic_score_gemma":0.0037666177,"teacher_disagreement_score":0.0065376232,"about_ca_system_score_codex":0.003148585,"about_ca_system_score_gemma":0.0026925132,"threshold_uncertainty_score":0.022844672},"labels":[],"label_agreement":null},{"id":"W582214002","doi":"","title":"Canada's regional innovation systems : the science-based industries","year":2005,"lang":"en","type":"book","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Aerospace; Public policy; Regional science; Innovation system; Regional innovation system; National innovation system; Business; Political science; Public administration; Engineering; Economic geography; Industrial organization; Geography; Economy; Economic growth; Economics","score_opus":0.06217297544253253,"score_gpt":0.2053315797522673,"score_spread":0.14315860430973476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582214002","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056753464,0.05745868,0.009915424,0.05449248,0.00042687816,0.00011797116,0.0053753075,0.00027188243,0.8151878],"genre_scores_gemma":[0.84083027,0.045332227,0.010319795,0.0022278698,0.00013460987,0.00006218284,0.002240977,0.000103800136,0.09874824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993118,0.00006568745,0.000013665529,0.00006386013,0.00031029218,0.00023465164],"domain_scores_gemma":[0.9991725,0.0001452562,0.000089323315,0.000041744832,0.00036326813,0.00018781582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041315873,0.00037690476,0.00025381494,0.0027142782,0.0044112336,0.0057655224,0.0007169125,0.00073354284,0.005221091],"category_scores_gemma":[0.0019502939,0.00026386048,0.00029415337,0.0081895245,0.0032022689,0.0020766873,0.0013304625,0.0009113229,0.00045054272],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017465181,0.000012985992,0.008252468,0.00018722215,0.000020853846,0.00023070989,0.0046808105,0.0032944733,0.0001620914,0.7628429,0.12656842,0.093729645],"study_design_scores_gemma":[0.00001268402,0.000011060825,0.036322143,0.0002455268,0.00004288261,0.00019748174,0.0044324095,0.0028248741,0.00034486354,0.07984981,0.87567014,0.000046154775],"about_ca_topic_score_codex":0.97809476,"about_ca_topic_score_gemma":0.98969346,"teacher_disagreement_score":0.9345566,"about_ca_system_score_codex":0.065443404,"about_ca_system_score_gemma":0.07196369,"threshold_uncertainty_score":0.47482735},"labels":[],"label_agreement":null},{"id":"W583086315","doi":"","title":"Panel data : theory and applications","year":2004,"lang":"en","type":"book","venue":"Physica eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Econometrics; Random effects model; Heteroscedasticity; Estimator; Economics; Mathematics; Statistics","score_opus":0.07351823027019981,"score_gpt":0.239177656585978,"score_spread":0.16565942631577818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W583086315","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002785172,0.091053866,0.78341573,0.023350528,0.0030385838,0.00079323625,0.012963097,0.0013955715,0.081204295],"genre_scores_gemma":[0.24222799,0.18021892,0.48124254,0.010666692,0.012179218,0.005319122,0.022332244,0.0012231051,0.044590052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98592734,0.008836994,0.00075841014,0.00163679,0.0024570287,0.0003833866],"domain_scores_gemma":[0.97125137,0.020491073,0.0013009704,0.002930895,0.0036864853,0.00033924787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009937962,0.0014408228,0.0023737508,0.0038331754,0.0015443608,0.005427319,0.0024859998,0.003754021,0.029001785],"category_scores_gemma":[0.03280703,0.0011085903,0.0021137926,0.011956472,0.0026413852,0.004764199,0.0030756006,0.0053582415,0.009309626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004797255,0.000075810814,0.0037452744,0.0017119754,0.00027773375,0.00023352333,0.000448507,0.021076992,0.00016811732,0.56102777,0.14851545,0.26267081],"study_design_scores_gemma":[0.00004116995,0.000038952952,0.002423191,0.0010010031,0.000069965354,0.0002817749,0.00025957866,0.026337503,0.00016190804,0.7012195,0.26808596,0.00007950791],"about_ca_topic_score_codex":0.008093504,"about_ca_topic_score_gemma":0.0031279754,"teacher_disagreement_score":0.029001785,"about_ca_system_score_codex":0.003147915,"about_ca_system_score_gemma":0.0028509449,"threshold_uncertainty_score":0.09702057},"labels":[],"label_agreement":null},{"id":"W599527752","doi":"","title":"BIZAV IN CANADA ATTAINS GROWTH AND MATURITY","year":2001,"lang":"en","type":"article","venue":"Aviation International News","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Environmental science; Political science","score_opus":0.018530893676138832,"score_gpt":0.20508781401159565,"score_spread":0.18655692033545682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W599527752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.769194,0.0036347453,0.0007077666,0.022839727,0.00035052063,0.000059725757,0.009265918,0.00023207073,0.19371553],"genre_scores_gemma":[0.9236921,0.0011346927,0.0003544464,0.0006950408,0.000052830368,0.000008599412,0.0020247996,0.000041073967,0.07199644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993267,0.000022806642,0.000011757769,0.000041818857,0.00028145945,0.00031541658],"domain_scores_gemma":[0.9964658,0.00018804643,0.00028791564,0.00005682592,0.0022111142,0.0007902676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059495296,0.00019807613,0.00022088038,0.001471762,0.003341417,0.0040094,0.00037735255,0.00081117114,0.0055245496],"category_scores_gemma":[0.0034984061,0.00011358325,0.00018277291,0.0021114624,0.0005360714,0.00091376744,0.0008674626,0.0016247397,0.00072977727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089589,0.00019672088,0.49363866,0.00023672741,0.000118151285,0.0015361303,0.009220295,0.004119559,0.0030963803,0.10016514,0.19581524,0.19096118],"study_design_scores_gemma":[0.000029746341,0.00008184126,0.7088557,0.000107617925,0.000044120417,0.00016003949,0.00910265,0.0034827166,0.0022877555,0.0030422756,0.27273288,0.00007271383],"about_ca_topic_score_codex":0.9850755,"about_ca_topic_score_gemma":0.99269605,"teacher_disagreement_score":0.033634733,"about_ca_system_score_codex":0.033634733,"about_ca_system_score_gemma":0.040714446,"threshold_uncertainty_score":0.24403822},"labels":[],"label_agreement":null},{"id":"W608425380","doi":"","title":"Lithia's big DCH deal was a boon for shareholders : automakers, suppliers post smaller gains in 2nd quarter as sales ease","year":2014,"lang":"en","type":"article","venue":"Automotive News","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Shareholder; Business; Commerce; Finance; History","score_opus":0.04372389772719789,"score_gpt":0.24876122043777588,"score_spread":0.20503732271057798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W608425380","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36112797,0.0055116634,0.0011621504,0.10531553,0.008687611,0.00007569743,0.013905496,0.0010803562,0.50313354],"genre_scores_gemma":[0.51606053,0.0016412274,0.0004363936,0.008494615,0.0012084601,0.00003244918,0.003691841,0.00023795897,0.46819645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992249,0.000039998977,0.000031322044,0.000070594615,0.0003148324,0.00031833161],"domain_scores_gemma":[0.9987331,0.00032575254,0.00029590208,0.00008133622,0.00030917107,0.00025475098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008492185,0.0003411275,0.0003479422,0.0015329082,0.0017657393,0.011673382,0.00029300974,0.002851509,0.034226343],"category_scores_gemma":[0.0030425768,0.0003207918,0.0003145462,0.0016377049,0.0009674693,0.0020526005,0.0012259411,0.0029461752,0.006884977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002009314,0.00010624324,0.04180044,0.00043133603,0.000121991914,0.0022768052,0.0021534846,0.00076513225,0.0035031778,0.07473927,0.8077013,0.064391404],"study_design_scores_gemma":[0.00011291547,0.00015697167,0.16841458,0.0002355606,0.000060488426,0.0004595141,0.004691377,0.000512583,0.006537677,0.002712795,0.81601745,0.00008813142],"about_ca_topic_score_codex":0.027217526,"about_ca_topic_score_gemma":0.051795565,"teacher_disagreement_score":0.034226343,"about_ca_system_score_codex":0.0046267044,"about_ca_system_score_gemma":0.0025076855,"threshold_uncertainty_score":0.114498496},"labels":[],"label_agreement":null},{"id":"W616619830","doi":"","title":"Industrial networks and proximity","year":2000,"lang":"en","type":"book","venue":"Ashgate eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Linkage (software); Alliance; Economic geography; Social capital; Industrial park; Industrial organization; Industrial relations; Production (economics); Management; Business; Economy; Regional science; Marketing; Geography; Economics; Sociology; Social science; Archaeology","score_opus":0.04752821244572465,"score_gpt":0.19419021504143724,"score_spread":0.1466620025957126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616619830","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044957917,0.12527509,0.022433097,0.050612014,0.0010503738,0.00008810806,0.00073093735,0.00013591259,0.7547166],"genre_scores_gemma":[0.84244454,0.060774397,0.0064979717,0.0026891676,0.0014157632,0.00014569244,0.00041679884,0.000064894564,0.08555072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884844,0.0004917718,0.000057196903,0.00021884408,0.00024408655,0.00013972948],"domain_scores_gemma":[0.9980149,0.0010618342,0.00032760893,0.00014805426,0.00021995317,0.00022752596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086608995,0.00037800745,0.00034798883,0.0027843176,0.0022054645,0.00697984,0.00045144293,0.0015193722,0.022156958],"category_scores_gemma":[0.005045328,0.00024985374,0.00028016875,0.005827555,0.005886321,0.0071609067,0.0044949837,0.0012102869,0.0022302128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014923523,0.00001574668,0.0025131349,0.00013513658,0.000010337724,0.000074447526,0.0026347213,0.00067037606,0.000064147054,0.9291319,0.014918472,0.049816646],"study_design_scores_gemma":[0.0000116702995,0.000030942996,0.008371111,0.0003468354,0.000014047203,0.00035318083,0.0054103085,0.0004935702,0.00007033429,0.66149247,0.32339197,0.000013567163],"about_ca_topic_score_codex":0.004087734,"about_ca_topic_score_gemma":0.00453844,"teacher_disagreement_score":0.022156958,"about_ca_system_score_codex":0.0027925463,"about_ca_system_score_gemma":0.0011405976,"threshold_uncertainty_score":0.07412237},"labels":[],"label_agreement":null},{"id":"W6884999199","doi":"10.13140/rg.2.2.17844.83849","title":"Opportunities for Decarbonisation of Canadian Heavy Industry","year":2022,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heavy industry; Government (linguistics); Production (economics); Work (physics); Electric power industry","score_opus":0.19885446604304027,"score_gpt":0.23457576118517978,"score_spread":0.03572129514213951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884999199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66777104,0.006586827,0.0019028485,0.082224384,0.0006319203,0.00007973375,0.0032906053,0.00018242866,0.23733018],"genre_scores_gemma":[0.9747302,0.0024458668,0.00078620313,0.0020333696,0.00012798101,0.000007948321,0.0006472326,0.00001974167,0.019201534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986185,0.000066214074,0.000022532246,0.000090792135,0.0003694509,0.00083257246],"domain_scores_gemma":[0.997276,0.00021761286,0.00020597236,0.00011124291,0.0015128813,0.0006762398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013293966,0.00038127464,0.0003595899,0.0015896714,0.002917909,0.0053038895,0.000939302,0.0013675425,0.009677598],"category_scores_gemma":[0.0037924987,0.00012582394,0.00056268286,0.002415982,0.0014394157,0.0016008957,0.001521957,0.0016107393,0.00028274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008516303,0.00018092855,0.12033854,0.0004769106,0.00013382682,0.0012804166,0.0030593253,0.029653322,0.004334325,0.56926984,0.10298236,0.16743867],"study_design_scores_gemma":[0.00008528973,0.00009622407,0.41857472,0.00048866426,0.00010114641,0.00016002184,0.0115978075,0.01903033,0.0027314287,0.07518952,0.471774,0.00017087586],"about_ca_topic_score_codex":0.968529,"about_ca_topic_score_gemma":0.9834578,"teacher_disagreement_score":0.058512658,"about_ca_system_score_codex":0.058512658,"about_ca_system_score_gemma":0.08331336,"threshold_uncertainty_score":0.42454106},"labels":[],"label_agreement":null},{"id":"W6888957653","doi":"10.25318/11f0019m2025002-eng","title":"Regulatory Accumulation, Business Dynamism and Economic Growth in Canada","year":2025,"lang":"en","type":"article","venue":"Statistics Canada Dissemination","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamism; Aggregate (composite); Business cycle; Competition (biology)","score_opus":0.00833903884398157,"score_gpt":0.21861227958898022,"score_spread":0.21027324074499865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888957653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91325295,0.0052281176,0.00073798414,0.01229304,0.00006930587,0.00006982041,0.014035867,0.00011483478,0.05419812],"genre_scores_gemma":[0.9883597,0.0021474625,0.00023166357,0.0002301865,0.000016156897,0.000007902786,0.0023083985,0.000013060979,0.006685439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987998,0.00005465845,0.000053051106,0.00010076188,0.0005484609,0.00044325416],"domain_scores_gemma":[0.99229056,0.0009999066,0.0012102299,0.00017956048,0.004000609,0.0013191407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013693052,0.00021052605,0.00044255858,0.0029840784,0.0022318487,0.0029438734,0.0005250581,0.0003511504,0.0035364374],"category_scores_gemma":[0.0063347486,0.00020209378,0.00037245604,0.006310778,0.0010786564,0.0007290891,0.001131018,0.0011806508,0.00017685724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003762632,0.00012694918,0.81429696,0.00030219342,0.00020706943,0.00062944234,0.002778695,0.020471375,0.00090504694,0.051858082,0.032727692,0.07532028],"study_design_scores_gemma":[0.000039541905,0.00002411231,0.9512545,0.00015726381,0.000075150725,0.000056078046,0.0017867556,0.007743359,0.0005275418,0.0025946542,0.035684332,0.00005681542],"about_ca_topic_score_codex":0.99776924,"about_ca_topic_score_gemma":0.9982608,"teacher_disagreement_score":0.9227352,"about_ca_system_score_codex":0.077264756,"about_ca_system_score_gemma":0.12309095,"threshold_uncertainty_score":0.56059766},"labels":[],"label_agreement":null},{"id":"W6902259930","doi":"10.6084/m9.figshare.4476212.v1","title":"Industry diversity, competition and firm relatedness: the impact on employment before and after the 2008 global financial crisis","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Financial crisis; Competition (biology); Diversity (politics); Market competition","score_opus":0.029604828184860304,"score_gpt":0.23152465093807223,"score_spread":0.20191982275321194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902259930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955253,0.00054975157,0.0000302507,0.0006939299,0.000007163427,0.0000020890864,0.0006292455,0.0000026520586,0.0025595853],"genre_scores_gemma":[0.9984548,0.00026277066,0.000016378384,0.00004068981,0.000008154835,7.698216e-7,0.00039305165,0.0000011903983,0.00082204805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973387,0.00002296271,0.000007982891,0.000026198217,0.000054878405,0.00015417517],"domain_scores_gemma":[0.9985581,0.00014911452,0.00043398322,0.00003318344,0.00032419432,0.00050142524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003796845,0.00010629053,0.00019130395,0.00094452593,0.0007738346,0.0011078729,0.00028486698,0.00036638253,0.0023352671],"category_scores_gemma":[0.0017486655,0.00005923921,0.00025551484,0.001823066,0.0007864093,0.00057909015,0.0012231051,0.0005218556,0.00022629299],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011584374,0.000033500666,0.9832751,0.000018967377,0.000045851597,0.0002067684,0.00093156367,0.0011273029,0.000254287,0.0009226893,0.0012634811,0.011804742],"study_design_scores_gemma":[0.0000014540506,0.00001044043,0.99741507,0.000012038539,0.0000074209947,0.000017434491,0.0013157179,0.00024566433,0.000046505593,0.00007376637,0.00085140334,0.0000029308692],"about_ca_topic_score_codex":0.74639153,"about_ca_topic_score_gemma":0.8827049,"teacher_disagreement_score":0.74639153,"about_ca_system_score_codex":0.004889979,"about_ca_system_score_gemma":0.004473964,"threshold_uncertainty_score":0.510204},"labels":[],"label_agreement":null},{"id":"W6910940352","doi":"10.5167/uzh-173198","title":"Growth and survival: The moderating effects of local agglomeration and local market structure growth and survival","year":2016,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Diafiltration; Fusible alloy; Articular cartilage damage; Liquation; Proteogenomics","score_opus":0.008612755905041078,"score_gpt":0.174737194307768,"score_spread":0.16612443840272692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6910940352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980253,0.00012992258,0.00019089988,0.00017439963,0.0000018535941,0.0000030592557,0.00005765691,0.0000067167407,0.0014102148],"genre_scores_gemma":[0.9996145,0.000038213864,0.000036455993,0.0000067430506,0.0000019832228,0.0000010170062,0.000031488835,0.0000012356213,0.00026831136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953556,0.00012385144,0.000018039234,0.00007375561,0.000060934293,0.00018795987],"domain_scores_gemma":[0.99430275,0.0020218666,0.0014533892,0.00033329002,0.00041020577,0.0014785157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010404182,0.000170944,0.00032507832,0.00057688775,0.0004942394,0.0009953466,0.00037798026,0.0004201813,0.0045151305],"category_scores_gemma":[0.0054923184,0.00008147301,0.00034457946,0.0007776683,0.0016218696,0.00079096225,0.0013471319,0.0005153853,0.00026511526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021084883,0.00008361128,0.983071,0.000022016107,0.00007715019,0.00021081643,0.00084309047,0.002301704,0.00088704866,0.0019084016,0.0003142378,0.010070054],"study_design_scores_gemma":[0.00000475234,0.000057915393,0.99639565,0.000010590952,0.000028562676,0.000038504404,0.00094613427,0.0013545705,0.00014784688,0.00064106594,0.00036885607,0.0000057387992],"about_ca_topic_score_codex":0.064821586,"about_ca_topic_score_gemma":0.105293006,"teacher_disagreement_score":0.064821586,"about_ca_system_score_codex":0.0009005814,"about_ca_system_score_gemma":0.0014279868,"threshold_uncertainty_score":0.1288886},"labels":[],"label_agreement":null},{"id":"W6921455175","doi":"10.6084/m9.figshare.c.6648286.v1","title":"Considerations for the design of overdose education and naloxone distribution interventions: results of a multi-stakeholder workshop","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; University of Toronto; Public Health Ontario; Ontario College of Art and Design","funders":"","keywords":"Opioid overdose; (+)-Naloxone; Stakeholder; First responder; Public health; Addiction; Distribution (mathematics); Poison control; Suicide prevention","score_opus":0.3342963578513852,"score_gpt":0.33020494551756085,"score_spread":0.004091412333824318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921455175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9166853,0.000616314,0.038185447,0.011368147,0.00034666044,0.01734559,0.0004234955,0.00026863543,0.014760527],"genre_scores_gemma":[0.938737,0.0006225384,0.042401213,0.00224208,0.000051034287,0.012780409,0.00013380482,0.00015669347,0.0028753725],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.8075442,0.17432286,0.0039513647,0.0026485662,0.004878372,0.006654634],"domain_scores_gemma":[0.6880884,0.27710488,0.004504456,0.005187916,0.018856911,0.0062573585],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.19021624,0.0015294127,0.0012918346,0.0013239143,0.0101873465,0.006066589,0.0041702227,0.0042367103,0.0040525883],"category_scores_gemma":[0.16679147,0.0010738244,0.0016284053,0.0010540602,0.004866064,0.0065179183,0.011673579,0.0038363757,0.0007885942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041126105,0.0009693485,0.0024017864,0.002022214,0.000045701774,0.0010379344,0.9421751,0.00046941024,0.0028536434,0.0014183169,0.0017846571,0.044410583],"study_design_scores_gemma":[0.00036740964,0.0018383118,0.00504161,0.0021812283,0.00015171908,0.00036243116,0.94820344,0.0013069384,0.0050343117,0.003708309,0.0316414,0.00016291556],"about_ca_topic_score_codex":0.002714149,"about_ca_topic_score_gemma":0.0050003314,"teacher_disagreement_score":0.19021624,"about_ca_system_score_codex":0.0068408907,"about_ca_system_score_gemma":0.014803653,"threshold_uncertainty_score":0.9986075},"labels":[],"label_agreement":null},{"id":"W6924900616","doi":"10.15468/dl.yhuqeu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Column (typography)","score_opus":0.025141199637713576,"score_gpt":0.1997038930266668,"score_spread":0.17456269338895322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924900616","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041845175,0.000025690728,0.000046327663,0.000039209677,0.000010162299,0.000005198851,0.9989262,0.00029649775,0.0006088237],"genre_scores_gemma":[0.00018096849,0.00003453419,0.00020564935,0.00004886967,0.0000038743187,0.00004657048,0.9987943,0.00013024421,0.0005548822],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989967,0.00015570279,0.00012563296,0.00033674453,0.0002268121,0.00015838235],"domain_scores_gemma":[0.9974825,0.00075189257,0.0002562444,0.00063223566,0.00060691696,0.00027027066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011069166,0.0016571624,0.0014350709,0.004679752,0.00093722576,0.0026650236,0.0027509127,0.0020335373,0.1435076],"category_scores_gemma":[0.0062534353,0.00080749625,0.0010246221,0.009061393,0.00043879388,0.001944519,0.0022126841,0.002019754,0.2043609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025597063,0.000011197683,0.00040119875,0.00042594472,0.000013081933,0.000014352381,0.000020294781,0.00012395137,0.00007971352,0.00043866568,0.99718636,0.001259621],"study_design_scores_gemma":[0.00007914455,0.000007564686,0.0019652427,0.00018684118,0.000013488173,0.00003420117,0.000067769426,0.00016808578,0.0001597703,0.0009771705,0.99632394,0.000016786911],"about_ca_topic_score_codex":0.02054215,"about_ca_topic_score_gemma":0.034402747,"teacher_disagreement_score":0.8564924,"about_ca_system_score_codex":0.0015539179,"about_ca_system_score_gemma":0.0022405118,"threshold_uncertainty_score":0.48008072},"labels":[],"label_agreement":null},{"id":"W6942395731","doi":"10.14288/1.0092903","title":"Entry strategies and performane [sic] of new ventures in clusters and isolation","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Externality; Function (biology); Longitudinal data; Value (mathematics); New Ventures; Cluster analysis; Empirical evidence; Isolation (microbiology)","score_opus":0.009157542029960749,"score_gpt":0.1612330898526363,"score_spread":0.15207554782267554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6942395731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99687684,0.00007921634,0.00011792589,0.000024004574,0.0000020170614,0.000008574903,0.00009051752,0.000005645681,0.00279531],"genre_scores_gemma":[0.9976695,0.00006510316,0.00007403563,0.0000057735633,0.0000036426743,0.000004640653,0.00017499391,0.0000036987717,0.0019985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995146,0.000074455966,0.000039700724,0.000071849245,0.000100714526,0.00019870856],"domain_scores_gemma":[0.9923422,0.0018161249,0.0024031359,0.00041097318,0.0007387978,0.002288783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008754397,0.00016384014,0.0002870642,0.0019529623,0.00065921084,0.0027343011,0.0003729508,0.00032666026,0.0054005496],"category_scores_gemma":[0.0055677937,0.00012711307,0.0003345263,0.0014301002,0.0005873621,0.0007789492,0.0013610661,0.00045059342,0.0008772655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003070768,0.00014397,0.978208,0.000025788187,0.00006148416,0.00031262104,0.0017867947,0.00096332264,0.0012792685,0.0015150924,0.00047573555,0.014920732],"study_design_scores_gemma":[0.000012142992,0.00013249318,0.9925801,0.000019628667,0.000019643761,0.0002769912,0.0031683792,0.0015289336,0.00033295507,0.000972388,0.00093566184,0.0000206311],"about_ca_topic_score_codex":0.005321238,"about_ca_topic_score_gemma":0.009821236,"teacher_disagreement_score":0.0054005496,"about_ca_system_score_codex":0.0005790863,"about_ca_system_score_gemma":0.00050648337,"threshold_uncertainty_score":0.018066585},"labels":[],"label_agreement":null},{"id":"W6968624185","doi":"10.5281/zenodo.4171053","title":"Se Possessor Uncut 2020 På Nettet Film Online Gratis Danske Undertekster iwn","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rhombus; Elite; Infographic; Control (management); The Internet","score_opus":0.08823217952293233,"score_gpt":0.2389317014380917,"score_spread":0.15069952191515937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968624185","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009830465,0.0003876157,0.0005437728,0.0011480316,0.0021740708,0.00009190442,0.0044694743,0.0021338493,0.98806816],"genre_scores_gemma":[0.0037242004,0.00030373406,0.00029931494,0.0002876069,0.00024686835,0.00003911709,0.0020775746,0.0014849695,0.9915365],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998536,0.000010309395,0.0000042548486,0.000029913643,0.000066253946,0.000035555324],"domain_scores_gemma":[0.999637,0.00004602442,0.000014503538,0.00004705165,0.00010549552,0.00014992265],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002164202,0.0006290954,0.00029743253,0.0006700005,0.0015832365,0.0038090602,0.00049867795,0.0008204268,0.81587946],"category_scores_gemma":[0.00085307047,0.00036239068,0.0002877539,0.0005668873,0.0002869017,0.0026526102,0.0019714357,0.0014968956,0.5660948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050593564,0.000009522527,0.00005937684,0.00006117946,0.0000014963025,0.000046906127,0.00010637618,0.000013163476,0.00054999563,0.0013944927,0.9786993,0.019007497],"study_design_scores_gemma":[0.0000065094227,0.000007134538,0.0002875404,0.00003327985,0.0000014187592,0.000047070127,0.00010670474,0.000030829888,0.00028146704,0.00015448545,0.9990402,0.0000033782746],"about_ca_topic_score_codex":0.0030824947,"about_ca_topic_score_gemma":0.013059692,"teacher_disagreement_score":0.18412054,"about_ca_system_score_codex":0.00066973176,"about_ca_system_score_gemma":0.00037812642,"threshold_uncertainty_score":0.26262552},"labels":[],"label_agreement":null},{"id":"W6980214270","doi":"","title":"Between Visits: Hindu Domestic Religiosity, Home Shrines, and Thirdspace in the Diaspora","year":2024,"lang":"en","type":"article","venue":"Syracuse University Libraries (Syracuse University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hinduism; Diaspora; Scholarship; Identity (music); Public sphere; Negotiation; Praxis","score_opus":0.018289103950059882,"score_gpt":0.18057497313630283,"score_spread":0.16228586918624294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980214270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958396,0.000112301874,0.000029080691,0.00019524159,0.0000046127047,0.0000030528881,0.000015157876,0.0000010650194,0.0037998972],"genre_scores_gemma":[0.9992768,0.000106942054,0.000019734502,0.000052296742,0.0000021264193,0.0000022121176,0.000009985654,0.0000011298499,0.00052881823],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9992054,0.00032740532,0.000016653832,0.00006017964,0.00007483637,0.0003155248],"domain_scores_gemma":[0.99901783,0.00027556575,0.00017660645,0.000056598714,0.00007291842,0.00040044176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007239356,0.00015527067,0.00023962128,0.0007318426,0.0039875144,0.004200626,0.00037897535,0.00035900882,0.0032953764],"category_scores_gemma":[0.0017357541,0.00016342574,0.00013005514,0.0010390393,0.004020196,0.001467864,0.0035612956,0.0009291946,0.00021995232],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012371539,0.00018776325,0.2748952,0.00005120777,0.000027049759,0.0009449721,0.6873177,0.000042115054,0.00057790027,0.009579269,0.0011884863,0.025064582],"study_design_scores_gemma":[0.000003595298,0.00003264025,0.19169879,0.000047411275,0.0000061111496,0.00023033247,0.8026459,0.000049710954,0.00008490049,0.00043853576,0.0047522523,0.000009751481],"about_ca_topic_score_codex":0.044780772,"about_ca_topic_score_gemma":0.09643328,"teacher_disagreement_score":0.044780772,"about_ca_system_score_codex":0.0017635822,"about_ca_system_score_gemma":0.0015911147,"threshold_uncertainty_score":0.08904022},"labels":[],"label_agreement":null},{"id":"W6980406560","doi":"","title":"2020 Canada Green Building Council (online) Conference, September 22-October 20, 2020 - Conference Report","year":2021,"lang":"en","type":"other","venue":"AUSpace (Athabasca University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Research council; Green building; Sustainability; Work (physics)","score_opus":0.04274703621623427,"score_gpt":0.20278765531279944,"score_spread":0.16004061909656517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980406560","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033922307,0.0021667108,0.0014961137,0.018796144,0.008534043,0.0005792784,0.09491462,0.0016807453,0.86844015],"genre_scores_gemma":[0.0046083084,0.0005082734,0.0007578855,0.0021006,0.00014190095,0.00005756371,0.012834063,0.00029052552,0.9787008],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985782,0.000040574316,0.000016650365,0.00006725049,0.0009225667,0.0003747799],"domain_scores_gemma":[0.9969085,0.0000886579,0.000042553453,0.000058239882,0.0017306018,0.0011715344],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014711777,0.0010089043,0.0004972893,0.0015505538,0.00423638,0.0050982125,0.0014258146,0.0033909287,0.3026231],"category_scores_gemma":[0.0021057022,0.00046317896,0.0006429618,0.0017846386,0.00073488586,0.0012383378,0.0017621875,0.0021514948,0.087404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025999809,0.000021487076,0.00016932563,0.000022121378,0.0000016354683,0.000013068177,0.000010383537,0.00007728427,0.000077868215,0.0007162847,0.9937989,0.005065547],"study_design_scores_gemma":[0.000012191341,0.000007666051,0.0028756878,0.000030128456,0.0000029087334,0.000005691212,0.00011912309,0.00017936397,0.0002362827,0.00038710725,0.99613225,0.000011551075],"about_ca_topic_score_codex":0.8927903,"about_ca_topic_score_gemma":0.9614449,"teacher_disagreement_score":0.3026231,"about_ca_system_score_codex":0.016104477,"about_ca_system_score_gemma":0.07124852,"threshold_uncertainty_score":0.9947235},"labels":[],"label_agreement":null},{"id":"W6986783392","doi":"","title":"Régulation, politiques et innovation industrielle : approche par méthodes et implications","year":2011,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Context (archaeology); Participatory democracy; Legitimacy","score_opus":0.38685967711568087,"score_gpt":0.3312377186903111,"score_spread":0.055621958425369766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986783392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010352755,0.028157666,0.7742791,0.037036307,0.0013460984,0.0009012515,0.00060688134,0.0003959334,0.14692399],"genre_scores_gemma":[0.34817737,0.044892963,0.53288275,0.008166859,0.0013780589,0.0083486745,0.0005167561,0.00044994339,0.05518667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9819941,0.013225872,0.0005251723,0.0015602431,0.002313629,0.0003809934],"domain_scores_gemma":[0.9723132,0.021890095,0.0012302477,0.0024674989,0.0018701082,0.00022881903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01928293,0.0016387874,0.0015030281,0.0050508697,0.0017498336,0.010262847,0.0029057595,0.0036374503,0.014910076],"category_scores_gemma":[0.020853933,0.00097176817,0.0023082078,0.0062972973,0.009712447,0.0092970645,0.0037908037,0.0053404993,0.0023298329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053689415,0.00009993476,0.00111059,0.0009151248,0.00009395238,0.000110465466,0.0016761894,0.002301851,0.00036340358,0.9295883,0.0036548357,0.060031615],"study_design_scores_gemma":[0.000066200664,0.00009123771,0.0016751147,0.0016195622,0.00011038701,0.00021985947,0.0018582323,0.00856362,0.00089176773,0.8810403,0.103795834,0.00006785308],"about_ca_topic_score_codex":0.007161239,"about_ca_topic_score_gemma":0.0075799413,"teacher_disagreement_score":0.01928293,"about_ca_system_score_codex":0.0070308982,"about_ca_system_score_gemma":0.007512486,"threshold_uncertainty_score":0.10197908},"labels":[],"label_agreement":null},{"id":"W6989248220","doi":"","title":"Analytical Approaches to Macroeconomic Forecasting: A Study of Profits through Machine Learning and Deep Learning","year":2020,"lang":"en","type":"article","venue":"Digital WPI","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Worcester Polytechnic Institute","keywords":"Aggregate (composite); Government (linguistics); Deep learning; Variable (mathematics); Class (philosophy); Quarter (Canadian coin); Economic forecasting","score_opus":0.21000725400357717,"score_gpt":0.241141070205967,"score_spread":0.031133816202389836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989248220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09593913,0.0125908265,0.8370363,0.017396757,0.00025430077,0.00006641733,0.00021058043,0.00025248693,0.036253314],"genre_scores_gemma":[0.91477996,0.0086521655,0.07046106,0.00044076113,0.0006151327,0.00006978724,0.000084291794,0.000060573253,0.0048363083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993026,0.00031041543,0.00003351588,0.00010027544,0.00016442577,0.00008878643],"domain_scores_gemma":[0.99113023,0.0074623628,0.000644352,0.0002575448,0.00037446257,0.00013109169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003006329,0.0006124299,0.0006744299,0.0028460869,0.0006386531,0.0029753863,0.0015030954,0.0014265148,0.0015116589],"category_scores_gemma":[0.015398749,0.00052067207,0.0006556426,0.0025999176,0.0028437562,0.005759684,0.0012985596,0.0021590486,0.00017608138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013993287,0.00006477543,0.004295269,0.00011004316,0.00004920754,0.00008454417,0.00048566237,0.28610203,0.00017783343,0.6610583,0.0017835309,0.045774817],"study_design_scores_gemma":[0.0000028759246,0.000009024166,0.0007999605,0.000045865178,0.000005636498,0.000016003429,0.00008732115,0.65289235,0.000098750425,0.34430268,0.0017258478,0.000013668564],"about_ca_topic_score_codex":0.011123927,"about_ca_topic_score_gemma":0.00621958,"teacher_disagreement_score":0.011123927,"about_ca_system_score_codex":0.0033206758,"about_ca_system_score_gemma":0.0018773905,"threshold_uncertainty_score":0.02409333},"labels":[],"label_agreement":null},{"id":"W6996624382","doi":"","title":"Strauss Group's Second Quarter Results Demonstrate a Strong Performance in the Group's Core Businesses(1)","year":2017,"lang":"en","type":"other","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Quarter (Canadian coin); Window (computing); Term (time); Context (archaeology)","score_opus":0.05053183222953562,"score_gpt":0.23574108346516806,"score_spread":0.18520925123563245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996624382","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40337092,0.0011392677,0.003003021,0.0141858,0.00096927,0.00044416086,0.05054843,0.0017971764,0.524542],"genre_scores_gemma":[0.6401698,0.00066780794,0.0034472966,0.0024049007,0.0005229985,0.0002656773,0.037994962,0.0005254377,0.3140012],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980463,0.00019672955,0.00006251953,0.00017681505,0.0010822634,0.00043549313],"domain_scores_gemma":[0.99208236,0.0011024596,0.00094153243,0.00071188086,0.0038347412,0.0013270393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024043326,0.0004735484,0.00051773293,0.004858757,0.001193052,0.0016518397,0.00067722524,0.0008501679,0.038595587],"category_scores_gemma":[0.0074756225,0.000112347705,0.00045190792,0.002845317,0.00048521382,0.0008324962,0.001380404,0.00075767626,0.019042907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094130344,0.0009609292,0.20715684,0.00022755064,0.00012051959,0.00023503361,0.00086816977,0.0012995675,0.0014362844,0.011588467,0.5589555,0.21620986],"study_design_scores_gemma":[0.00012994606,0.0007844003,0.75012624,0.00014850103,0.000071488575,0.00025579127,0.0015067483,0.0018718615,0.0051784622,0.0030584952,0.23680636,0.00006172805],"about_ca_topic_score_codex":0.048259042,"about_ca_topic_score_gemma":0.10280831,"teacher_disagreement_score":0.048259042,"about_ca_system_score_codex":0.0014724378,"about_ca_system_score_gemma":0.0029855203,"threshold_uncertainty_score":0.1291151},"labels":[],"label_agreement":null},{"id":"W6997339595","doi":"","title":"Whatever happened to Canadian big business?","year":2013,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Dysgeusia; Liquation; Emperipolesis; Triacetin; Demotion","score_opus":0.013756432923616398,"score_gpt":0.15110061026051083,"score_spread":0.13734417733689444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997339595","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11236297,0.0373374,0.0015088996,0.6629742,0.0048205396,0.000051010207,0.0074709305,0.00031212126,0.17316192],"genre_scores_gemma":[0.79518044,0.039275426,0.0017884894,0.068364136,0.0014494878,0.000034521083,0.0028836487,0.0002114854,0.09081231],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99652475,0.00022825733,0.00005446202,0.00029915056,0.0015557791,0.0013377094],"domain_scores_gemma":[0.9896639,0.000629957,0.00037381568,0.00028968573,0.0063813305,0.0026611479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023767916,0.0003794685,0.00035806248,0.0026296324,0.013026129,0.008270483,0.0011533898,0.0019554072,0.014566375],"category_scores_gemma":[0.012429965,0.0002461826,0.00037780375,0.007252413,0.004580967,0.0041599264,0.001533044,0.003130449,0.0013449755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764156,0.000039247556,0.04441526,0.00041638137,0.00008111068,0.0006078783,0.0055916808,0.0014046306,0.0005786175,0.22979574,0.57620406,0.14058901],"study_design_scores_gemma":[0.000025857835,0.000029201121,0.08865675,0.0005138432,0.000046066776,0.0002103287,0.011468848,0.0007057654,0.0005588439,0.017243696,0.88037515,0.00016570499],"about_ca_topic_score_codex":0.99284196,"about_ca_topic_score_gemma":0.99411964,"teacher_disagreement_score":0.11157712,"about_ca_system_score_codex":0.11157712,"about_ca_system_score_gemma":0.11684543,"threshold_uncertainty_score":0.8095525},"labels":[],"label_agreement":null},{"id":"W7001355769","doi":"","title":"Jeea-FBBVA lecture 2013: the new empirical economics of management","year":2014,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Work (physics); Quarter (Canadian coin); Survey data collection; Technology management","score_opus":0.06334917372920906,"score_gpt":0.34523499644697075,"score_spread":0.2818858227177617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001355769","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006256691,0.42066208,0.023311364,0.43353638,0.022275623,0.000024663408,0.0005405157,0.00012597514,0.09326669],"genre_scores_gemma":[0.18011355,0.6186434,0.02643561,0.030198094,0.0707508,0.00021261658,0.00072708644,0.00026375352,0.07265513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828464,0.0009008687,0.0000754096,0.00022315848,0.00039047157,0.00012542015],"domain_scores_gemma":[0.9903047,0.0071555334,0.00044727372,0.0004641506,0.0010341661,0.0005940739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055219512,0.0006290504,0.0011399889,0.0027292985,0.0013982892,0.0078291865,0.0006254245,0.0034002557,0.012920607],"category_scores_gemma":[0.01563305,0.000577908,0.0007607837,0.0030890147,0.0064348546,0.0093833525,0.002155461,0.0064809574,0.0029366838],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050220402,0.00005122063,0.0027438232,0.00056268164,0.000074283824,0.000113133174,0.00037166823,0.0014878544,0.00027665013,0.49718377,0.33019242,0.16689233],"study_design_scores_gemma":[0.000014566489,0.000018407725,0.0039042442,0.0012886781,0.000033921177,0.00012429582,0.00035337626,0.0021649273,0.00009993921,0.6419429,0.35000476,0.000049928043],"about_ca_topic_score_codex":0.004261143,"about_ca_topic_score_gemma":0.004477113,"teacher_disagreement_score":0.012920607,"about_ca_system_score_codex":0.004603455,"about_ca_system_score_gemma":0.0029960035,"threshold_uncertainty_score":0.0432238},"labels":[],"label_agreement":null},{"id":"W7001837743","doi":"","title":"Live Urban DJ Mix #19 Strip Poker","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Social media; Collectable","score_opus":0.009771568751785701,"score_gpt":0.17126887221354944,"score_spread":0.16149730346176375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001837743","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012593974,0.00009104009,0.00014176208,0.00040102497,0.00033948725,0.00004867981,0.005000248,0.00051916216,0.99219924],"genre_scores_gemma":[0.0014752137,0.00005577317,0.000048468766,0.00008591831,0.000020814176,0.0000097915345,0.001077522,0.00019893755,0.9970276],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978787,0.000010666832,0.0000034331586,0.000036335132,0.00009457642,0.00006704625],"domain_scores_gemma":[0.99939847,0.00002834411,0.000013979581,0.000040192008,0.0002557452,0.0002632416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001914419,0.0006459585,0.00036101174,0.00076093955,0.0025903375,0.0023086537,0.00070809264,0.0006401278,0.8800123],"category_scores_gemma":[0.00066859653,0.00039167624,0.00022087428,0.0012685892,0.00029643154,0.0012890791,0.0020325514,0.0009962161,0.62758315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029124512,0.000024926607,0.00024008805,0.00002664576,0.0000010036401,0.000048965514,0.000043706026,0.000020710575,0.00017279376,0.00049509876,0.9831429,0.01575405],"study_design_scores_gemma":[0.00000847557,0.000011779852,0.0013659499,0.00001925692,0.0000010347073,0.000018511993,0.00030113553,0.000035890233,0.00013448518,0.00011307228,0.99798524,0.0000051396732],"about_ca_topic_score_codex":0.064981505,"about_ca_topic_score_gemma":0.27018702,"teacher_disagreement_score":0.8800123,"about_ca_system_score_codex":0.0014718111,"about_ca_system_score_gemma":0.0023204044,"threshold_uncertainty_score":0.17114782},"labels":[],"label_agreement":null},{"id":"W7002007838","doi":"","title":"Louis-Philippe Geoffrion, chroniqueur de langage le thème de l'anglicisme dans les \"Zigzags autour de nos parlers\" (1923-1927)","year":2007,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nous; Context (archaeology); Meaning (existential)","score_opus":0.015914882727942024,"score_gpt":0.19592832861894377,"score_spread":0.18001344589100174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002007838","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22037563,0.100960724,0.006266731,0.11010356,0.003308334,0.00011531977,0.0018579374,0.00018749567,0.55682427],"genre_scores_gemma":[0.7692262,0.023293197,0.0016163453,0.004247292,0.00046368508,0.000083819265,0.00030497788,0.00016952767,0.2005948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999321,0.00030058308,0.000013928569,0.000108863256,0.00014819612,0.00010750254],"domain_scores_gemma":[0.9992982,0.00029542335,0.00009101758,0.000026686106,0.00020118167,0.00008750204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011766298,0.00044035667,0.00015934647,0.0013527278,0.006600975,0.003131762,0.0003999513,0.0008255915,0.0056689833],"category_scores_gemma":[0.0011801673,0.0001866437,0.000102226135,0.0017476071,0.0066262595,0.002200494,0.0011462665,0.0019940282,0.00078106014],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110917004,0.000018267836,0.0066322717,0.00039297683,0.000011733211,0.0006655878,0.38766688,0.00019454738,0.0012801382,0.42340055,0.12659432,0.053031847],"study_design_scores_gemma":[0.000004090555,0.000013353502,0.011047434,0.00025464248,0.000005316998,0.00015884353,0.03009132,0.00005608769,0.00050955365,0.003603354,0.95423776,0.00001820746],"about_ca_topic_score_codex":0.50273925,"about_ca_topic_score_gemma":0.7130921,"teacher_disagreement_score":0.50273925,"about_ca_system_score_codex":0.01585887,"about_ca_system_score_gemma":0.008484983,"threshold_uncertainty_score":0.999626},"labels":[],"label_agreement":null},{"id":"W7002255959","doi":"","title":"A mixed methods exploration of the characteristics, dynamics, processes and perceived effects of research partnerships in child health","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Research Manitoba","keywords":"General partnership; Context (archaeology); Exploratory research; Participatory action research; Qualitative research; Knowledge translation; Data collection; Health care; Child health","score_opus":0.0869196146219807,"score_gpt":0.30085792556317026,"score_spread":0.21393831094118956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002255959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5635219,0.021329729,0.28391314,0.0072717494,0.0004596404,0.08108917,0.0026353793,0.00027993158,0.039499354],"genre_scores_gemma":[0.45217365,0.007415035,0.44728374,0.0019283358,0.00007119661,0.087020636,0.00057557423,0.000080469785,0.0034512572],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.8929254,0.089880966,0.0046645133,0.0037908067,0.0072089676,0.0015293671],"domain_scores_gemma":[0.87490827,0.10263947,0.006147247,0.0057286294,0.009597062,0.0009794148],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.12050743,0.0008380345,0.0012067327,0.0071327453,0.007746031,0.007317221,0.0026319707,0.001369825,0.0035910849],"category_scores_gemma":[0.090366736,0.0009797497,0.00193113,0.009179236,0.0044220337,0.004401009,0.0072313393,0.0015277396,0.00032182166],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003924534,0.00044816846,0.023171963,0.012408176,0.00034429383,0.0008858643,0.59573555,0.00091359427,0.0021419015,0.045493253,0.0024210897,0.31564373],"study_design_scores_gemma":[0.0004619506,0.0024196485,0.030815797,0.02845228,0.0011761185,0.0007803011,0.77133256,0.0044058957,0.00469354,0.041543722,0.11371949,0.00019874085],"about_ca_topic_score_codex":0.01316625,"about_ca_topic_score_gemma":0.04540513,"teacher_disagreement_score":0.8794926,"about_ca_system_score_codex":0.012609884,"about_ca_system_score_gemma":0.027400814,"threshold_uncertainty_score":0.6373118},"labels":[],"label_agreement":null},{"id":"W7011019098","doi":"","title":"Learning from failure : organizational mortality and the resource-based view","year":2003,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business failure; Bankruptcy; Organizational learning; Life insurance; Job loss","score_opus":0.03565079557395321,"score_gpt":0.2603836637529347,"score_spread":0.2247328681789815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011019098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7442602,0.015338564,0.018640524,0.06836971,0.00031361153,0.000054357886,0.00064865913,0.00009754978,0.15227675],"genre_scores_gemma":[0.9944528,0.0019002008,0.00022418778,0.0007627918,0.00021264756,0.00001015194,0.00006230596,0.000008790348,0.0023661524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991327,0.00028580253,0.00002456961,0.000088211316,0.00017356302,0.00029523642],"domain_scores_gemma":[0.9908777,0.0038295696,0.0018904305,0.0007805303,0.0007811044,0.0018406921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023259216,0.00024040276,0.00032871333,0.0022781163,0.0014542332,0.0023664965,0.00095991243,0.0012714815,0.0065261093],"category_scores_gemma":[0.010417316,0.00012240828,0.00036165092,0.0011005113,0.0062487014,0.003678107,0.002020644,0.001961037,0.0004168619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017885296,0.00028975328,0.35400498,0.00017947954,0.00014732865,0.0009841596,0.008563455,0.006417466,0.00038819152,0.38064462,0.010959717,0.23724198],"study_design_scores_gemma":[0.000038127582,0.0001992244,0.41255152,0.00041369876,0.00007688795,0.0007213611,0.00640733,0.0037293802,0.00025078128,0.55130446,0.024242038,0.00006526473],"about_ca_topic_score_codex":0.009669267,"about_ca_topic_score_gemma":0.009259432,"teacher_disagreement_score":0.009669267,"about_ca_system_score_codex":0.0021418792,"about_ca_system_score_gemma":0.0014236463,"threshold_uncertainty_score":0.021832049},"labels":[],"label_agreement":null},{"id":"W7015179457","doi":"","title":"S&amp;P 500 Earnings Growth Could Double in the 4th Quarter of 2024","year":2024,"lang":"en","type":"other","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Earnings growth; Duration (music)","score_opus":0.03910087279684262,"score_gpt":0.2480816622390436,"score_spread":0.20898078944220097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015179457","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011493504,0.0019181267,0.0015246419,0.021020329,0.008236475,0.00022717693,0.06527343,0.0020045359,0.88830173],"genre_scores_gemma":[0.013606146,0.00062142644,0.00046163957,0.0015180917,0.00067702134,0.00007847913,0.007459205,0.00012251856,0.9754554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995322,0.000025713374,0.000017710589,0.00004310901,0.00021940781,0.0001618179],"domain_scores_gemma":[0.998988,0.000071482595,0.00008231378,0.000044856297,0.0005159207,0.00029747456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005468758,0.00087415864,0.00037643217,0.0013370679,0.0009989067,0.0037668468,0.0006499379,0.004150489,0.16191167],"category_scores_gemma":[0.0033586207,0.00030411477,0.0005166811,0.0007917484,0.00042678884,0.0014937731,0.0011780496,0.0016145717,0.08163358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015653376,0.000058290694,0.0008683379,0.000044980414,0.000005414108,0.00005984182,0.000008712985,0.00022080271,0.0002844428,0.008796128,0.9592419,0.030254597],"study_design_scores_gemma":[0.00008191727,0.00007190133,0.011097596,0.000085949236,0.000010197923,0.00005056663,0.00006183175,0.0011602733,0.0009972493,0.006337318,0.9800205,0.000024672541],"about_ca_topic_score_codex":0.05056903,"about_ca_topic_score_gemma":0.07857087,"teacher_disagreement_score":0.16191167,"about_ca_system_score_codex":0.002803816,"about_ca_system_score_gemma":0.004571199,"threshold_uncertainty_score":0.5416485},"labels":[],"label_agreement":null},{"id":"W7015489155","doi":"","title":"Tech in an advanced economy with skills shortage: the moderating role of firm size","year":2023,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"High tech; Government (linguistics); Work (physics); Productivity","score_opus":0.019989285834593237,"score_gpt":0.25485811925114404,"score_spread":0.2348688334165508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015489155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675107,0.00022609107,0.00008192726,0.0012408753,0.00002369935,0.0000062939243,0.00017186771,0.000008142535,0.0014901953],"genre_scores_gemma":[0.9976023,0.00013135071,0.000022802076,0.00013757813,0.000044444678,0.000004950855,0.00014811984,0.0000047988674,0.0019036946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991085,0.00026930685,0.000050432347,0.00011001098,0.0000656031,0.00039617793],"domain_scores_gemma":[0.96524626,0.020234289,0.006174972,0.00063640054,0.0007001127,0.0070080278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017140361,0.0003091304,0.00053180155,0.00084719516,0.0008719982,0.00319003,0.0007018677,0.0019883248,0.014894513],"category_scores_gemma":[0.008488232,0.00034263282,0.0006735849,0.001025735,0.0010392937,0.0018813582,0.0024751613,0.0025183356,0.0012935762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014643691,0.0011378505,0.98467374,0.000059464423,0.00021193869,0.0011099225,0.00060938566,0.0019489388,0.0007049803,0.001127621,0.0018080727,0.005143695],"study_design_scores_gemma":[0.000095353666,0.00041599385,0.99184203,0.000032126525,0.00013814555,0.00012468753,0.0027678309,0.0018815874,0.00024783317,0.0011934314,0.0012421332,0.000018877909],"about_ca_topic_score_codex":0.018512627,"about_ca_topic_score_gemma":0.024440574,"teacher_disagreement_score":0.018512627,"about_ca_system_score_codex":0.00066190585,"about_ca_system_score_gemma":0.0013594041,"threshold_uncertainty_score":0.0498271},"labels":[],"label_agreement":null},{"id":"W7018227278","doi":"","title":"Decisões de Estrutura de Capital das Empresas Brasileiras de Capital Aberto a Partir das Teorias de Pecking Order e Trade-off e a Influência da COVID-19.","year":2024,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pecking order theory; Pecking order; Capital structure; Profitability index; Variable (mathematics); Panel data; Quarter (Canadian coin)","score_opus":0.021627076808398874,"score_gpt":0.2787579040976129,"score_spread":0.25713082728921405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018227278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878868,0.0007993038,0.00069789286,0.0003743674,0.0000080114,0.000022415295,0.0003601968,0.000014806637,0.009836233],"genre_scores_gemma":[0.9991442,0.0001756545,0.00017659797,0.000010171741,0.0000044906865,0.000005131303,0.00010223025,0.000001425553,0.0003800935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986259,0.00032492643,0.00008748763,0.0003215945,0.00039897056,0.00024116357],"domain_scores_gemma":[0.9840767,0.007789755,0.005079422,0.0010906439,0.0014507042,0.0005128489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027870159,0.00034309208,0.00036182662,0.0014758742,0.00049156277,0.0019192604,0.0004721716,0.00055371335,0.0032429192],"category_scores_gemma":[0.018108215,0.00028612642,0.0005413113,0.0019841574,0.0013010987,0.0016326568,0.0008506431,0.0007238293,0.00025661444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014094287,0.00006837302,0.95727843,0.00012710765,0.00013100538,0.00025082138,0.0033439628,0.0030126895,0.0010626419,0.0069653406,0.00043072738,0.027188003],"study_design_scores_gemma":[0.000010037493,0.000118904856,0.9839697,0.00010619479,0.00007715094,0.00017831018,0.0025758855,0.005731731,0.00073920697,0.002449448,0.0040249783,0.000018526382],"about_ca_topic_score_codex":0.03821854,"about_ca_topic_score_gemma":0.041393645,"teacher_disagreement_score":0.03821854,"about_ca_system_score_codex":0.0023195425,"about_ca_system_score_gemma":0.001414874,"threshold_uncertainty_score":0.07599217},"labels":[],"label_agreement":null},{"id":"W7019219076","doi":"","title":"Firm growth in time of crisis","year":2021,"lang":"en","type":"article","venue":"Lirias (KU Leuven)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Great recession; Recession; Population; Quarter (Canadian coin); Job loss; Job creation; Aggregate (composite)","score_opus":0.026087377057417784,"score_gpt":0.21576387454045082,"score_spread":0.18967649748303303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019219076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98216206,0.00078290777,0.00036614586,0.00038506364,0.000021729647,0.000010582936,0.011933825,0.000053287855,0.0042843055],"genre_scores_gemma":[0.9889671,0.00023835592,0.00011039564,0.000043941927,0.000020498524,0.000014548778,0.008789307,0.000013382271,0.0018024594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991191,0.00017464622,0.000042625492,0.000167361,0.00013507679,0.00036122542],"domain_scores_gemma":[0.99442285,0.0015584535,0.0023001323,0.00027565088,0.00075983425,0.0006830706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010988552,0.00021317822,0.00043758235,0.0028590653,0.0003074208,0.0020119003,0.0004395977,0.0006338846,0.004498444],"category_scores_gemma":[0.007229522,0.00014218746,0.00041518756,0.003925215,0.0003320001,0.0009206518,0.0008644563,0.0008711071,0.00099075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038787615,0.00010407764,0.963168,0.000059069327,0.00014847847,0.00034468938,0.00053504936,0.011246412,0.0002920812,0.0018567822,0.00603686,0.01582061],"study_design_scores_gemma":[0.000012963965,0.000083396044,0.98091733,0.000024442726,0.000028020568,0.00021181184,0.0011464896,0.0086595975,0.00021403265,0.0004058939,0.008279351,0.000016651362],"about_ca_topic_score_codex":0.07562022,"about_ca_topic_score_gemma":0.047226503,"teacher_disagreement_score":0.07562022,"about_ca_system_score_codex":0.0012090886,"about_ca_system_score_gemma":0.00056255335,"threshold_uncertainty_score":0.15036017},"labels":[],"label_agreement":null},{"id":"W7019286812","doi":"","title":"Essays in econometrics and entrepreneurship","year":2012,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Empirical likelihood; Inference; Statistic; Moment (physics); Test statistic; Monte Carlo method; Autocorrelation; Statistical hypothesis testing; Sample (material); Statistical inference; Likelihood-ratio test","score_opus":0.028343873767465784,"score_gpt":0.20023218752574062,"score_spread":0.17188831375827485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019286812","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008692153,0.46216398,0.22089005,0.13291366,0.021295903,0.00011075565,0.0010820811,0.00056131737,0.15229012],"genre_scores_gemma":[0.19520652,0.46756813,0.085535765,0.019033588,0.040679194,0.0006125332,0.0019903886,0.00084447867,0.18852952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968947,0.00167903,0.00024160685,0.00029555353,0.00077011815,0.00011900196],"domain_scores_gemma":[0.98316056,0.013617345,0.00055518956,0.0011694168,0.0012310836,0.00026637487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054147243,0.0012212598,0.0014092556,0.0028152019,0.00086207286,0.003365344,0.00089341804,0.002566559,0.01374616],"category_scores_gemma":[0.019357355,0.0006671272,0.0012596438,0.004939722,0.0036077315,0.0041573057,0.001520048,0.00440543,0.0046488573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043551154,0.00006452582,0.0025409379,0.000761781,0.00013601166,0.00021828158,0.0007607892,0.0050508995,0.00029148307,0.66388845,0.15443297,0.17181025],"study_design_scores_gemma":[0.000022145161,0.000036483143,0.0032468112,0.00078581227,0.000028853636,0.00023461037,0.000439233,0.004541897,0.00014283415,0.46490845,0.52557987,0.000033062403],"about_ca_topic_score_codex":0.0020162966,"about_ca_topic_score_gemma":0.0013388583,"teacher_disagreement_score":0.01374616,"about_ca_system_score_codex":0.0018793124,"about_ca_system_score_gemma":0.0016639434,"threshold_uncertainty_score":0.04598552},"labels":[],"label_agreement":null},{"id":"W7019331198","doi":"","title":"Gibraltar Industries : ANNOUNCES THIRD QUARTER 2024 FINANCIAL RESULTS Form 8 K","year":2024,"lang":"en","type":"other","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Work (physics); Financial management","score_opus":0.029832267715663694,"score_gpt":0.22307370513291608,"score_spread":0.1932414374172524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019331198","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013388734,0.0025891426,0.0009425152,0.017160598,0.0060329284,0.00043767953,0.15356827,0.004453301,0.8014269],"genre_scores_gemma":[0.014744838,0.00047814817,0.0005918597,0.0016987672,0.00036655998,0.00007785615,0.024689555,0.0004846184,0.95686764],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957985,0.00003132881,0.000013998716,0.00004787143,0.00018889547,0.00013815185],"domain_scores_gemma":[0.9991092,0.00008151325,0.00008107266,0.00006626766,0.00039004406,0.00027184613],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007023953,0.0006838878,0.0005197448,0.0011074623,0.0010491477,0.0038968078,0.0007694305,0.0024473267,0.2630999],"category_scores_gemma":[0.002160038,0.00022854067,0.0003758624,0.0008804754,0.0002893503,0.00064435706,0.00095004,0.001491447,0.13909817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032630793,0.000041266634,0.0005264126,0.000060927385,0.0000054880106,0.000069513204,0.000012083029,0.00009565617,0.0002937882,0.0019758423,0.98062176,0.01597107],"study_design_scores_gemma":[0.00012558802,0.00011010622,0.012032065,0.00008156012,0.000009297937,0.000039804007,0.0000891335,0.000510743,0.0010858423,0.0017140327,0.9841785,0.000023301007],"about_ca_topic_score_codex":0.04003299,"about_ca_topic_score_gemma":0.0704871,"teacher_disagreement_score":0.7369001,"about_ca_system_score_codex":0.0018153586,"about_ca_system_score_gemma":0.0029324412,"threshold_uncertainty_score":0.8801569},"labels":[],"label_agreement":null},{"id":"W7024473793","doi":"","title":"Results of non-financial corporations in fourth quarter of 1999 and summary year-end data","year":2000,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Corporation; Government (linguistics)","score_opus":0.03165268947956925,"score_gpt":0.23430476220424817,"score_spread":0.20265207272467892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024473793","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74795294,0.0012249802,0.0007688602,0.00027357918,0.00008534561,0.00012474091,0.24034005,0.00035521388,0.008874226],"genre_scores_gemma":[0.6293274,0.0005525799,0.00055886456,0.00015700125,0.000080299054,0.00015823188,0.3489462,0.00012976225,0.020089703],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99723417,0.00042903487,0.000306246,0.00048202716,0.0006892696,0.00085931],"domain_scores_gemma":[0.9868326,0.0037349213,0.0043781614,0.0009733758,0.0030702516,0.0010105963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563487,0.0007936232,0.0011034145,0.005862831,0.0005330878,0.0016604459,0.0012438494,0.0011483036,0.008207387],"category_scores_gemma":[0.006346585,0.00039631518,0.0015406207,0.0056796046,0.00026016287,0.0009899301,0.0012084737,0.0007840545,0.00369075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025451416,0.00078215724,0.9291817,0.00027310554,0.0008000056,0.00025818622,0.00020927071,0.0053006043,0.0008495363,0.00028100895,0.04341528,0.016104057],"study_design_scores_gemma":[0.000036689336,0.0002046605,0.99128145,0.000013312326,0.00016933426,0.00008972851,0.00033894752,0.0009214911,0.0009625945,0.000049491064,0.0059169084,0.000015550153],"about_ca_topic_score_codex":0.04169561,"about_ca_topic_score_gemma":0.05040898,"teacher_disagreement_score":0.04169561,"about_ca_system_score_codex":0.0008554364,"about_ca_system_score_gemma":0.0007872345,"threshold_uncertainty_score":0.08290577},"labels":[],"label_agreement":null},{"id":"W7030155534","doi":"","title":"A Microsimulation Platform of Firm Evolution Processes","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Logit; Microdata (statistics); Outsourcing; Relocation; Duration (music); Hazard; Flexibility (engineering)","score_opus":0.027085856631466742,"score_gpt":0.23712122035080574,"score_spread":0.210035363719339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030155534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08851058,0.00030986787,0.87270254,0.0008218492,0.00012173418,0.00018792179,0.0014827948,0.0010673878,0.034795333],"genre_scores_gemma":[0.8147998,0.00059047394,0.16483687,0.00013480078,0.00006948625,0.0007322253,0.0012594537,0.0002176152,0.017359383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964595,0.00011485789,0.000021229216,0.0001014779,0.000057429028,0.000059051195],"domain_scores_gemma":[0.9985459,0.00081064715,0.00022633992,0.00018608202,0.00015746285,0.00007369523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008042304,0.0005833474,0.00052663666,0.0007174617,0.00046596155,0.001384548,0.0010684849,0.00082789134,0.012531478],"category_scores_gemma":[0.0034067465,0.0004027368,0.0012355349,0.00055165624,0.00080963975,0.0011359071,0.0012896899,0.0010199948,0.00082668255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024584788,0.000036000805,0.0009501849,0.00003126546,0.000026972824,0.00006828535,0.00007895506,0.81372553,0.0006949752,0.17812757,0.0006872834,0.0055483812],"study_design_scores_gemma":[0.000009262371,0.000017378281,0.00020601442,0.0000063054536,0.000006739747,0.000009118747,0.000018196692,0.97278893,0.00015038767,0.024817133,0.0019642992,0.0000062126655],"about_ca_topic_score_codex":0.015666075,"about_ca_topic_score_gemma":0.010172706,"teacher_disagreement_score":0.015666075,"about_ca_system_score_codex":0.001501609,"about_ca_system_score_gemma":0.0016557699,"threshold_uncertainty_score":0.041922033},"labels":[],"label_agreement":null},{"id":"W7037050371","doi":"","title":"Diesel fuel injection and spray technology","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.02117851128848068,"score_gpt":0.20969804423544125,"score_spread":0.18851953294696056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037050371","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087494254,0.0075717093,0.0033898258,0.066354305,0.11169112,0.0019096832,0.0076280213,0.0020851532,0.7118759],"genre_scores_gemma":[0.100069895,0.002042597,0.0011813401,0.002414584,0.009756438,0.00013238812,0.0030772544,0.0003071761,0.88101834],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967823,0.00027155725,0.00016309688,0.00027976753,0.0022233,0.00027989378],"domain_scores_gemma":[0.9625625,0.0017797574,0.0007970879,0.0014173139,0.031659707,0.001783606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019863728,0.00042542018,0.0010790799,0.002534788,0.0020624304,0.0023801767,0.0010313818,0.0024043075,0.20786797],"category_scores_gemma":[0.015931498,0.00027911272,0.0007618008,0.0010284187,0.00048771323,0.0014573559,0.0010708158,0.00086849387,0.07875446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052261807,0.0001679906,0.0063760094,0.0011599114,0.000055392236,0.00082109903,0.000191807,0.00023260232,0.005291082,0.0021186753,0.8208537,0.16220914],"study_design_scores_gemma":[0.000086943604,0.0001978453,0.020834712,0.00018915474,0.0000639395,0.00045991107,0.00030943472,0.00099554,0.008256882,0.0011199574,0.9674394,0.000046257428],"about_ca_topic_score_codex":0.002263609,"about_ca_topic_score_gemma":0.006644788,"teacher_disagreement_score":0.20786797,"about_ca_system_score_codex":0.0012354308,"about_ca_system_score_gemma":0.0020718884,"threshold_uncertainty_score":0.6953876},"labels":[],"label_agreement":null},{"id":"W7038025164","doi":"","title":"Financial constraints and productivity: Evidence from Canadian SMEs","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Proxy (statistics); Productivity; Production function; Production (economics); Financial ratio; Investment (military); Position (finance); Capital (architecture); Financial risk","score_opus":0.0679773694720439,"score_gpt":0.2961907302659569,"score_spread":0.22821336079391297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038025164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98289376,0.0014946123,0.00016575016,0.0011950947,0.0000072714774,0.00001508081,0.0058714016,0.000008998707,0.008348005],"genre_scores_gemma":[0.99582726,0.0009870259,0.00008834411,0.00009064566,0.0000063928783,0.000007751304,0.0020071208,0.0000041464195,0.0009812263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986798,0.00010540114,0.00008115483,0.00015283213,0.0005651747,0.0004155419],"domain_scores_gemma":[0.9833385,0.002929877,0.005150676,0.00062872097,0.005635459,0.0023167545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597402,0.0003015458,0.0004412931,0.002965116,0.0021459146,0.0018657101,0.0009374334,0.00049068104,0.003937911],"category_scores_gemma":[0.013314194,0.00020905344,0.00041842577,0.010423594,0.0010654214,0.0006601828,0.0013877738,0.0006029929,0.00034318498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096259755,0.000035509718,0.9831441,0.00012065552,0.00008021096,0.00020774984,0.002089098,0.0003867147,0.000135502,0.0009988628,0.0026119293,0.01009346],"study_design_scores_gemma":[0.0000043602813,0.00000947284,0.9953434,0.00006536984,0.00002416035,0.000033524233,0.0017802058,0.0003001474,0.00007735523,0.00009616516,0.0022517552,0.000014154364],"about_ca_topic_score_codex":0.987358,"about_ca_topic_score_gemma":0.9934181,"teacher_disagreement_score":0.014052511,"about_ca_system_score_codex":0.014052511,"about_ca_system_score_gemma":0.017602013,"threshold_uncertainty_score":0.10195857},"labels":[],"label_agreement":null},{"id":"W7066839664","doi":"","title":"The inauguration of Malcolm Gillis : William Marsh Rice University, October 29-31, 1993","year":2010,"lang":"en","type":"book","venue":"Rice Digital Scholarship Archive (Rice University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of the Philippines; University of Glasgow; University of Leeds; University of Cambridge; St. Thomas University; University of Southern Mississippi; University of Oregon; University of St. Thomas; University of Northern Colorado; University of Melbourne; University of Missouri; University of South Alabama; University of Pennsylvania; University of Nevada, Reno; Universiteit van Amsterdam; H. Lee Moffitt Cancer Center and Research Institute; University of Connecticut; University of Southern California; University of South Florida","keywords":"Marsh; Piano; George (robot)","score_opus":0.01686735367207337,"score_gpt":0.18064991471772632,"score_spread":0.16378256104565295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066839664","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029342065,0.05368104,0.0008912873,0.059438486,0.026316691,0.00008001766,0.0015925786,0.0008674499,0.85419816],"genre_scores_gemma":[0.0027233018,0.0032225787,0.00007090346,0.0006880252,0.00051813415,0.000008066556,0.00011420871,0.00006272216,0.9925921],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998084,0.00001467247,0.0000056635317,0.000036049463,0.00009087396,0.000044431592],"domain_scores_gemma":[0.999739,0.000018448636,0.000016898708,0.000012986488,0.00010195444,0.00011078031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004662421,0.0006383866,0.00026132085,0.00083138957,0.002047175,0.0030865695,0.0006487478,0.0012518282,0.08157533],"category_scores_gemma":[0.0008628076,0.00026139859,0.00011900725,0.0009990822,0.0008377495,0.0021744808,0.0013489183,0.0020102963,0.047628313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009701508,0.000005389578,0.00006832178,0.000017873388,2.6553158e-7,0.000028067881,0.00010171754,0.000011150289,0.00003963808,0.0031120772,0.9832382,0.01336758],"study_design_scores_gemma":[7.57445e-7,0.0000021727017,0.0003539204,0.000023428038,3.0503367e-7,0.000019388011,0.00007367269,0.000008311614,0.000036546837,0.0002542373,0.9992262,0.0000010924259],"about_ca_topic_score_codex":0.035973772,"about_ca_topic_score_gemma":0.16496973,"teacher_disagreement_score":0.08157533,"about_ca_system_score_codex":0.0045142174,"about_ca_system_score_gemma":0.0029861405,"threshold_uncertainty_score":0.2728967},"labels":[],"label_agreement":null},{"id":"W7071501318","doi":"","title":"Tammikuuilmiö Suomen osakemarkkinoilla","year":2013,"lang":"fi","type":"other","venue":"Trepo - Institutional Repository of Tampere University","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Quarter (Canadian coin); Research methodology","score_opus":0.015430992508365689,"score_gpt":0.17264570350886418,"score_spread":0.1572147110004985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071501318","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13540198,0.0089374175,0.0204489,0.011297638,0.0020613659,0.00017325142,0.0008024537,0.0009787632,0.8198982],"genre_scores_gemma":[0.34330478,0.0064133946,0.016305916,0.0016954711,0.00043547468,0.00014187842,0.00081895996,0.0006210958,0.6302631],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99854565,0.0002356401,0.00009752644,0.00029669475,0.0005371889,0.00028729643],"domain_scores_gemma":[0.998071,0.00046489737,0.00025700688,0.00022770524,0.0006230458,0.00035637457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583961,0.00066034205,0.0003841884,0.001177975,0.003911385,0.007325836,0.0010183132,0.0014080436,0.059280347],"category_scores_gemma":[0.0031482712,0.00045612,0.0005933068,0.0010975698,0.0021577207,0.004426196,0.0046482948,0.002469042,0.017990451],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051269226,0.00038861964,0.03653451,0.001315927,0.00008099756,0.0057380013,0.069349825,0.00085731427,0.021722475,0.26331255,0.0837281,0.51645905],"study_design_scores_gemma":[0.00000905669,0.000085970605,0.012426519,0.0003879913,0.000035798595,0.0016907367,0.015701506,0.00036012524,0.0061799414,0.008315997,0.9547441,0.00006224082],"about_ca_topic_score_codex":0.0060834815,"about_ca_topic_score_gemma":0.015271343,"teacher_disagreement_score":0.059280347,"about_ca_system_score_codex":0.0027480952,"about_ca_system_score_gemma":0.004348371,"threshold_uncertainty_score":0.19831252},"labels":[],"label_agreement":null},{"id":"W7089050374","doi":"","title":"Stratégies d'introduction des cobots en PME : un outil d'auto-évaluation de la maturité des entreprises Un outil d'auto-évaluation de la maturité des entreprises","year":2025,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Context (archaeology); Solidarity; Government (linguistics); Latin Americans; Order (exchange)","score_opus":0.019737170445682135,"score_gpt":0.2394528239928561,"score_spread":0.21971565354717398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089050374","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30048862,0.0052140118,0.32159406,0.024901504,0.0028034437,0.0040593524,0.0010916038,0.0059716348,0.33387583],"genre_scores_gemma":[0.6414043,0.0015156416,0.17512412,0.0033788055,0.0006670289,0.0019285481,0.00081456854,0.00074942166,0.17441753],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9872595,0.0063445657,0.0003246881,0.0010622159,0.0039083655,0.0011005993],"domain_scores_gemma":[0.9714813,0.010713609,0.0017349031,0.0024793423,0.009211932,0.0043788254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015187729,0.0011240157,0.00067707326,0.0022521238,0.001868978,0.006249732,0.0019888983,0.002776562,0.025583427],"category_scores_gemma":[0.017645694,0.00041127158,0.00055128377,0.0010539091,0.0015123802,0.0036039746,0.0043395213,0.001944868,0.0062066372],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015224026,0.0016083304,0.015203141,0.001413048,0.000067943256,0.0006759526,0.0074239722,0.0044536334,0.027985014,0.058654066,0.044691496,0.8363009],"study_design_scores_gemma":[0.00045006975,0.0033576768,0.046078198,0.0020024304,0.00015688683,0.0009700863,0.013127909,0.036136076,0.05546708,0.03625191,0.8057158,0.00028576708],"about_ca_topic_score_codex":0.0033076783,"about_ca_topic_score_gemma":0.004798477,"teacher_disagreement_score":0.025583427,"about_ca_system_score_codex":0.0037686564,"about_ca_system_score_gemma":0.006574634,"threshold_uncertainty_score":0.08558506},"labels":[],"label_agreement":null},{"id":"W7095305354","doi":"","title":"NBER WORKING PAPER SERIES R-SQUARED AND THE ECONOMY","year":2013,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zhàng; Subject (documents); Developing country; Series (stratigraphy); Developed country","score_opus":0.01811773004454303,"score_gpt":0.16733353359229533,"score_spread":0.1492158035477523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095305354","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01153677,0.08055672,0.043306448,0.071777366,0.009065433,0.00085054716,0.5123458,0.0051889257,0.26537204],"genre_scores_gemma":[0.14395703,0.07592141,0.02970536,0.007584054,0.0051421435,0.0038170367,0.4569779,0.007053378,0.26984176],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.987063,0.0032072586,0.0013406557,0.0020765315,0.00573777,0.0005747669],"domain_scores_gemma":[0.9616947,0.012895654,0.007063398,0.0055117086,0.011791431,0.0010431119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010964474,0.001561205,0.002445638,0.004984239,0.0007418865,0.0040289173,0.0019015914,0.0025777747,0.07720996],"category_scores_gemma":[0.0778149,0.0007617199,0.0013739086,0.013084011,0.0011295893,0.0043657157,0.0016547471,0.0031194568,0.07645063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009416828,0.000024071987,0.010200583,0.0007062036,0.0002077623,0.0000883898,0.0000727497,0.0014459351,0.000097086086,0.030305913,0.8978766,0.058880482],"study_design_scores_gemma":[0.0001465948,0.000047844886,0.026738213,0.0009007368,0.0002060832,0.00027255827,0.00015408783,0.0014727295,0.00044691007,0.0401713,0.9293817,0.00006119273],"about_ca_topic_score_codex":0.0137781445,"about_ca_topic_score_gemma":0.007022521,"teacher_disagreement_score":0.07720996,"about_ca_system_score_codex":0.0023970387,"about_ca_system_score_gemma":0.0068347217,"threshold_uncertainty_score":0.25829303},"labels":[],"label_agreement":null},{"id":"W7095525860","doi":"","title":"Should Workers Care about Firm Size?1 Ana Ferrer University of British Columbia2","year":2004,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sorting; Wage; Production (economics); Instrumental variable; Returns to scale; Empirical evidence; Human capital; Variable (mathematics)","score_opus":0.025088474305486348,"score_gpt":0.19611903967787825,"score_spread":0.1710305653723919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095525860","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2194627,0.058688782,0.0016300232,0.4903452,0.0020430062,0.0000557103,0.0058892085,0.00017103361,0.22171427],"genre_scores_gemma":[0.7826564,0.027489178,0.00079850917,0.014794203,0.0016444189,0.000036605023,0.0017792154,0.00009849548,0.17070304],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99910885,0.00020209378,0.000035216468,0.00014751709,0.00029012028,0.00021611415],"domain_scores_gemma":[0.98869306,0.0062242663,0.0013626998,0.00032058952,0.001972344,0.001427095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016082695,0.00025815208,0.00054482074,0.0010345086,0.001886356,0.003118573,0.00057635375,0.0018491872,0.03512059],"category_scores_gemma":[0.013168145,0.00023382885,0.00015927933,0.0018913911,0.0010895904,0.0009519191,0.0005563908,0.0014711728,0.0041241427],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002756237,0.00020797602,0.20759751,0.00044576035,0.000047873044,0.00055055943,0.002564612,0.0008542268,0.0005155562,0.021236574,0.40294895,0.3627548],"study_design_scores_gemma":[0.000058444177,0.000081103724,0.6060641,0.0015681001,0.00006906256,0.000310415,0.00516195,0.0020068053,0.0006243997,0.02663892,0.35729164,0.00012511293],"about_ca_topic_score_codex":0.3724127,"about_ca_topic_score_gemma":0.5316082,"teacher_disagreement_score":0.3724127,"about_ca_system_score_codex":0.006136132,"about_ca_system_score_gemma":0.0063612675,"threshold_uncertainty_score":0.7404901},"labels":[],"label_agreement":null},{"id":"W7095756271","doi":"","title":"From conception to inception: Initial findings from the Canadian Study on Entrepreneurial Emergence","year":2001,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Entrepreneurship; Job creation; Work experience; Business sector","score_opus":0.0702542521679364,"score_gpt":0.2722851062309668,"score_spread":0.2020308540630304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095756271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9617718,0.0019298621,0.0002936738,0.0036352673,0.00003026268,0.00007070015,0.00020122189,0.000005013275,0.032062203],"genre_scores_gemma":[0.99463475,0.0016514197,0.00018738108,0.0003185703,0.0000074336813,0.00002033724,0.00006979346,0.000007724647,0.0031026034],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99719477,0.0006172752,0.0000805768,0.00022141416,0.0009177095,0.0009681507],"domain_scores_gemma":[0.982621,0.007278354,0.001567615,0.00046830918,0.0037798749,0.0042847483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005601374,0.00024195077,0.00042156584,0.0023593542,0.012680635,0.00607519,0.0012654256,0.00086721097,0.0028828008],"category_scores_gemma":[0.01959559,0.0004094892,0.00023203903,0.0042663743,0.008173026,0.003654863,0.0046166223,0.0036566865,0.00016970516],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022079566,0.00016829591,0.17693703,0.00016376328,0.000009690414,0.0005413491,0.7773903,0.00008154208,0.00050062744,0.015723877,0.0017329162,0.026529865],"study_design_scores_gemma":[0.0000139253125,0.0000603569,0.2452374,0.0002899219,0.000014302931,0.00016260098,0.7312644,0.00015346847,0.0001759466,0.0016159109,0.020973738,0.00003802587],"about_ca_topic_score_codex":0.940848,"about_ca_topic_score_gemma":0.9806368,"teacher_disagreement_score":0.059152007,"about_ca_system_score_codex":0.030099496,"about_ca_system_score_gemma":0.05916836,"threshold_uncertainty_score":0.21838814},"labels":[],"label_agreement":null},{"id":"W7095775554","doi":"","title":"ISSN 0924-7815THE DIVIDEND AND SHARE REPURCHASE POLICIES OF CANADIAN FIRMS: EMPIRICAL EVIDENCE BASED ON A NEW RESEARCH DESIGN","year":2000,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Empirical evidence; Dividend; Empirical research; Research design; Dividend policy","score_opus":0.4866803339633109,"score_gpt":0.36760656248973045,"score_spread":0.11907377147358045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095775554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58240956,0.010149012,0.0012963897,0.009850142,0.0007401145,0.0002569766,0.03009743,0.00034649734,0.36485392],"genre_scores_gemma":[0.76616377,0.007949674,0.001323309,0.001405434,0.00029751987,0.00010353704,0.011764099,0.00007390382,0.21091892],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99889237,0.00007532034,0.000055603134,0.00012601461,0.0005995434,0.00025120386],"domain_scores_gemma":[0.9870025,0.0050317342,0.0013990689,0.00053306745,0.0043957355,0.0016379234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013964769,0.0005230443,0.00062367413,0.003150012,0.0026555336,0.0039820317,0.0011098254,0.0013425874,0.09595352],"category_scores_gemma":[0.011705746,0.00031629304,0.00031838327,0.0051690503,0.0021700882,0.0015576895,0.00054373464,0.0009682116,0.0073583545],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00194653,0.0010774443,0.32628214,0.0009826305,0.00039166436,0.00039769107,0.0025297052,0.0028997157,0.002584509,0.0278747,0.20675269,0.42628065],"study_design_scores_gemma":[0.00027817712,0.0002319746,0.7837179,0.00034216288,0.00037885594,0.00013157813,0.002934455,0.0021611338,0.0010773278,0.0054644006,0.20317186,0.00011024621],"about_ca_topic_score_codex":0.9640092,"about_ca_topic_score_gemma":0.9685706,"teacher_disagreement_score":0.09595352,"about_ca_system_score_codex":0.029576773,"about_ca_system_score_gemma":0.028482864,"threshold_uncertainty_score":0.32099652},"labels":[],"label_agreement":null},{"id":"W7095827189","doi":"","title":"Economic Analysis (EA) Research Paper Series Firm Turnover and Productivity Growth in the Canadian Retail Trade Sector","year":2008,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic analysis; Productivity; Retail trade; Time series; Series (stratigraphy); Economic sector","score_opus":0.08690788247474793,"score_gpt":0.24714994509496732,"score_spread":0.1602420626202194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095827189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8329089,0.011286119,0.0019006272,0.013105832,0.000505296,0.00013060539,0.056103688,0.00017029184,0.083888605],"genre_scores_gemma":[0.90829337,0.00667417,0.0008757704,0.0003236677,0.00018029902,0.000030124384,0.017569235,0.0000524028,0.06600099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999393,0.00004108131,0.000022320957,0.00005427203,0.0002662634,0.00022314794],"domain_scores_gemma":[0.9949049,0.0008203871,0.00041874388,0.00017215003,0.0031574208,0.00052641775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010612807,0.00030910567,0.00048637544,0.0035897116,0.0015041778,0.0027858233,0.0006083666,0.0004185275,0.012495583],"category_scores_gemma":[0.006391778,0.00016457056,0.00054731336,0.006296984,0.0005936844,0.000753575,0.0005476262,0.0009471989,0.00082075683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044414357,0.00023211479,0.66543734,0.00026598963,0.00020258267,0.00033060482,0.0018499348,0.008749123,0.00081393134,0.02430071,0.19159909,0.10577444],"study_design_scores_gemma":[0.000019206938,0.000023638144,0.95448166,0.00008954269,0.00009850448,0.00005218478,0.0019540826,0.007471174,0.00051152875,0.002090875,0.03316481,0.000042847667],"about_ca_topic_score_codex":0.9929067,"about_ca_topic_score_gemma":0.9942107,"teacher_disagreement_score":0.03621611,"about_ca_system_score_codex":0.03621611,"about_ca_system_score_gemma":0.03278717,"threshold_uncertainty_score":0.2627675},"labels":[],"label_agreement":null},{"id":"W7096019371","doi":"","title":"Competition and Productivity: Evidence from Canadian Manufacturing Firms","year":2002,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Productivity; Competition (biology); Product market; Product (mathematics); Survey data collection; Market competition","score_opus":0.05464065259582018,"score_gpt":0.19497948663399156,"score_spread":0.14033883403817138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096019371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956104,0.0060658124,0.00033385836,0.002131312,0.000025073263,0.000029266042,0.0052141277,0.000022193624,0.016617425],"genre_scores_gemma":[0.9934715,0.002164568,0.00013014003,0.00020283731,0.000023450159,0.000007952277,0.0027135063,0.00000399718,0.0012819677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969976,0.00021695456,0.00010921528,0.00030758715,0.0015761437,0.00079256203],"domain_scores_gemma":[0.9826654,0.0038587898,0.0053437185,0.0005487195,0.0056134295,0.0019698245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017836655,0.00048561915,0.00053251674,0.004224186,0.002649853,0.002345538,0.00094800594,0.0007290627,0.002841079],"category_scores_gemma":[0.011128565,0.00023891022,0.00070955243,0.0120675685,0.0014501674,0.00061951054,0.0011007955,0.00089283806,0.00031697648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014270241,0.00008999647,0.97598267,0.00014581897,0.00022688397,0.00020244149,0.0013827756,0.0012500059,0.00019925636,0.0017309985,0.0043335212,0.0143129565],"study_design_scores_gemma":[0.000012692245,0.000027093523,0.99520653,0.000038185444,0.000064347514,0.000029790346,0.0007921136,0.00045591313,0.00011569769,0.00014589561,0.0030919006,0.000019692547],"about_ca_topic_score_codex":0.9868707,"about_ca_topic_score_gemma":0.9897165,"teacher_disagreement_score":0.02127551,"about_ca_system_score_codex":0.02127551,"about_ca_system_score_gemma":0.022204991,"threshold_uncertainty_score":0.1543653},"labels":[],"label_agreement":null},{"id":"W7096186320","doi":"","title":"The Determinants of University Dropouts: A Sequential Decision Model with Selectivity Bias","year":2011,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Private sector; Public policy; Decision theory; Product (mathematics)","score_opus":0.09669709708030118,"score_gpt":0.21835046111125586,"score_spread":0.12165336403095468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096186320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85281265,0.002474969,0.11540386,0.012457169,0.0005622524,0.00096329866,0.0061416235,0.00045944555,0.008724737],"genre_scores_gemma":[0.95674706,0.0018635174,0.009347564,0.0007598674,0.0004946146,0.00044314435,0.0022266267,0.00006427356,0.028053358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9946108,0.0027048865,0.00020849732,0.0008177188,0.00027203758,0.0013862324],"domain_scores_gemma":[0.94830215,0.04171781,0.0047670524,0.0012243183,0.0015316032,0.002457107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01592767,0.0011612019,0.004554814,0.002144157,0.0013922846,0.004294139,0.0035828075,0.003980145,0.024914825],"category_scores_gemma":[0.026614496,0.0015679179,0.0027491695,0.00206916,0.0025700734,0.0021551629,0.00219944,0.0047840253,0.0028121837],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009827045,0.002836577,0.35608894,0.00093280256,0.0027650087,0.003185686,0.0030511622,0.3691386,0.0009754499,0.1253716,0.028801654,0.09702561],"study_design_scores_gemma":[0.0017013648,0.00078221026,0.030534506,0.00021297371,0.0008416505,0.00032721137,0.0009379279,0.9102084,0.00025393054,0.04957823,0.0044683586,0.00015319994],"about_ca_topic_score_codex":0.06276445,"about_ca_topic_score_gemma":0.026385717,"teacher_disagreement_score":0.06276445,"about_ca_system_score_codex":0.0025673588,"about_ca_system_score_gemma":0.003528339,"threshold_uncertainty_score":0.1247983},"labels":[],"label_agreement":null},{"id":"W7096261000","doi":"","title":"The Impact of Real Exchange Rate Movements on Service Sector Firms","year":2008,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Profitability index; Tertiary sector of the economy; Exchange rate; Manufacturing sector; Service (business)","score_opus":0.0649351010550828,"score_gpt":0.25151879308930936,"score_spread":0.18658369203422656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096261000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956505,0.00040734,0.000061113446,0.00048023628,0.0000051113816,0.0000033307942,0.00026140438,0.0000061668434,0.0031248634],"genre_scores_gemma":[0.9992495,0.00023279506,0.000011076742,0.000022153516,0.000009577514,6.525304e-7,0.0001599376,0.0000010916161,0.0003131465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922013,0.00019742093,0.000058350888,0.00006226121,0.00016024908,0.00030154412],"domain_scores_gemma":[0.98555446,0.004226904,0.008023507,0.00039383353,0.00077678805,0.0010244624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010119684,0.00015788426,0.00026813315,0.00091582583,0.00034428525,0.0018914128,0.00022311707,0.00052370306,0.0027759785],"category_scores_gemma":[0.010034448,0.000073456795,0.0002857862,0.0014742953,0.0005653315,0.00077496405,0.00062144763,0.0007645357,0.00036069835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000524328,0.00008795193,0.97420436,0.000033192635,0.00007799157,0.00077402167,0.0003726384,0.0044198823,0.0008079668,0.0026455855,0.00093383715,0.015118082],"study_design_scores_gemma":[0.000014649166,0.00012116271,0.99393713,0.000013593392,0.00003652945,0.00019121544,0.00096253667,0.002565538,0.0005004917,0.00047797346,0.0011655622,0.000013488444],"about_ca_topic_score_codex":0.041202478,"about_ca_topic_score_gemma":0.046666153,"teacher_disagreement_score":0.041202478,"about_ca_system_score_codex":0.0014106736,"about_ca_system_score_gemma":0.00068695203,"threshold_uncertainty_score":0.08192533},"labels":[],"label_agreement":null},{"id":"W7096437438","doi":"","title":"FROM CANADIAN AND US PANELS AND DISPLACED WORKER SURVEYS","year":2003,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Capital (architecture); Productivity; Statistical evidence; Empirical evidence; Industrial relations","score_opus":0.025950660010919707,"score_gpt":0.2003795199997291,"score_spread":0.17442885998880941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096437438","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33579305,0.0041603264,0.0038041102,0.0012151664,0.00024834648,0.0010503785,0.608604,0.000233089,0.044891533],"genre_scores_gemma":[0.33118257,0.005460213,0.012445478,0.0015738352,0.00015756261,0.0014561429,0.55615413,0.00010614633,0.09146398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997482,0.00021028066,0.00010783293,0.0002766809,0.0013868759,0.0005363205],"domain_scores_gemma":[0.9933375,0.00058933184,0.00077967014,0.00048729498,0.0041385978,0.00066765846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017725173,0.0006038259,0.00058208086,0.007759189,0.0021636793,0.001395957,0.0015735053,0.0006809228,0.012708312],"category_scores_gemma":[0.007016857,0.00041737247,0.0008434867,0.018019449,0.00036450702,0.00038741904,0.0015304441,0.0008187379,0.0029214697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047930438,0.0001782292,0.5767387,0.001040547,0.0006796666,0.00041782475,0.0059135044,0.0034678036,0.0010121552,0.004609458,0.30127633,0.10418655],"study_design_scores_gemma":[0.00004654554,0.0000392667,0.8233391,0.00015254841,0.00010853035,0.00015798332,0.0028611575,0.00068760174,0.00043395045,0.0003528305,0.17175163,0.00006889208],"about_ca_topic_score_codex":0.98014873,"about_ca_topic_score_gemma":0.9911069,"teacher_disagreement_score":0.019851267,"about_ca_system_score_codex":0.010424421,"about_ca_system_score_gemma":0.015154628,"threshold_uncertainty_score":0.07563484},"labels":[],"label_agreement":null},{"id":"W7096585459","doi":"","title":"Activities and Integrated Firm-Level Performance: An Empirical Analysis of Québec Manufacturing","year":2015,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Empirical research; Production (economics); Key (lock); Work (physics)","score_opus":0.12137564728755611,"score_gpt":0.2739626975786218,"score_spread":0.15258705029106567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096585459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99501836,0.00048689422,0.00026295512,0.00021878451,0.0000065402505,0.000023548328,0.0019318267,0.000021452326,0.0020295912],"genre_scores_gemma":[0.9946673,0.00018471936,0.00013710812,0.000047046084,0.000006004299,0.000015222586,0.0020868185,0.000008866174,0.0028468245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930274,0.00013889179,0.000031364598,0.00010943794,0.00015665546,0.00026097056],"domain_scores_gemma":[0.99381304,0.0017231399,0.0012264936,0.0002845621,0.0016970981,0.0012556546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008967679,0.0004354535,0.00050534913,0.0021295545,0.0015763082,0.002325023,0.001691953,0.00095709966,0.007879301],"category_scores_gemma":[0.0038524491,0.00028040446,0.0006256188,0.006174186,0.0009952779,0.0008341264,0.0010502002,0.0010107982,0.0008653842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020717316,0.00028042882,0.9790949,0.00004565867,0.00028413787,0.0003037041,0.0010871144,0.0048622037,0.0003764445,0.0010041564,0.0027200216,0.0097340625],"study_design_scores_gemma":[0.000011783376,0.000038942795,0.99000704,0.000028164248,0.000039627,0.00002403153,0.0010829242,0.007492592,0.00005475174,0.00005628363,0.0011497403,0.000014097878],"about_ca_topic_score_codex":0.98529434,"about_ca_topic_score_gemma":0.99024034,"teacher_disagreement_score":0.02407777,"about_ca_system_score_codex":0.02407777,"about_ca_system_score_gemma":0.008959827,"threshold_uncertainty_score":0.17469728},"labels":[],"label_agreement":null},{"id":"W7097146744","doi":"","title":"Manufacturing Enterprises","year":2005,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yardstick; Pairwise comparison; Government (linguistics); Competition (biology); Sample (material); Probit model; Econometric model; Probit","score_opus":0.025560749650625342,"score_gpt":0.20691396090570466,"score_spread":0.1813532112550793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097146744","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009316552,0.005363619,0.0061263214,0.0053732907,0.0011638146,0.00032711955,0.29227668,0.0026873797,0.67736524],"genre_scores_gemma":[0.038469125,0.004293457,0.010545161,0.0015314444,0.00021602519,0.00033757868,0.18478566,0.00048699888,0.75933456],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989531,0.00014532087,0.00009110467,0.00019468403,0.0004735668,0.00014213278],"domain_scores_gemma":[0.99796057,0.00035430636,0.00020226138,0.00030652108,0.00094187655,0.00023447968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010563231,0.0007080039,0.00035403162,0.0029696063,0.0006420913,0.0013719302,0.00054583506,0.00058887276,0.3716144],"category_scores_gemma":[0.0031763208,0.0002486226,0.00026807896,0.0046112724,0.00008455635,0.0010077308,0.0008802816,0.0007752994,0.22595753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005889932,0.000051806,0.004815987,0.00036837292,0.000011244701,0.000081667225,0.0001492705,0.00012392888,0.0004995494,0.007979477,0.7476789,0.23818083],"study_design_scores_gemma":[0.0000062557842,0.000020974856,0.009671614,0.00007869274,0.0000041390267,0.0000747469,0.000119614495,0.00009702514,0.00021796292,0.0005208058,0.9891834,0.0000046037608],"about_ca_topic_score_codex":0.006962754,"about_ca_topic_score_gemma":0.016467797,"teacher_disagreement_score":0.3716144,"about_ca_system_score_codex":0.00084318523,"about_ca_system_score_gemma":0.0012914527,"threshold_uncertainty_score":0.8963158},"labels":[],"label_agreement":null},{"id":"W7097236455","doi":"","title":"Comments on “Productivity Measurement in a Service Industry: Plant-Level Evidence from Gambling Establishments in the United Kingdom”","year":2004,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Productivity; Commodity; Exploit; Value (mathematics); Homogeneous; Task (project management)","score_opus":0.46226148201223505,"score_gpt":0.31016252464666577,"score_spread":0.15209895736556928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097236455","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046621943,0.0022490255,0.0006405405,0.96030116,0.02607163,0.000044521472,0.0015018618,0.00013770968,0.0043913946],"genre_scores_gemma":[0.023834798,0.0016211548,0.0006395303,0.94629884,0.015089029,0.000117335585,0.0005855058,0.00009184953,0.01172195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929535,0.0022060906,0.001205417,0.0009989433,0.0018974962,0.00073851517],"domain_scores_gemma":[0.91921115,0.052053127,0.0061212075,0.0018093918,0.018318022,0.0024871535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010650677,0.0009909355,0.0010747889,0.0014650752,0.0034280627,0.0031857677,0.004188385,0.02144731,0.01609548],"category_scores_gemma":[0.064677365,0.0008881091,0.0013604576,0.0032007333,0.002842707,0.0037232772,0.002702199,0.0069233966,0.0057578627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004035188,0.000007812481,0.002246847,0.00010915548,0.000011810013,0.0002312594,0.0005836766,0.00006946037,0.00011145974,0.00069834094,0.9932335,0.0026562477],"study_design_scores_gemma":[0.000058938447,0.00012449884,0.028352518,0.0007491662,0.00005098091,0.0005200345,0.005916061,0.00043341066,0.0010362805,0.00159407,0.9609633,0.00020066772],"about_ca_topic_score_codex":0.056642883,"about_ca_topic_score_gemma":0.064908765,"teacher_disagreement_score":0.056642883,"about_ca_system_score_codex":0.003047687,"about_ca_system_score_gemma":0.0041296496,"threshold_uncertainty_score":0.112626374},"labels":[],"label_agreement":null},{"id":"W7097244125","doi":"","title":"that full credit, including © notice, is given to the source. Creative Destruction and Firm-Specific Performance Heterogeneity","year":2007,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Creative destruction; Production (economics); Work (physics)","score_opus":0.0671026684703718,"score_gpt":0.24805735145654345,"score_spread":0.18095468298617165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097244125","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014135184,0.0019867297,0.004099909,0.019773232,0.007669108,0.00024822814,0.12911455,0.004510326,0.8311844],"genre_scores_gemma":[0.014095089,0.0052864244,0.0016032566,0.0005974118,0.0012768806,0.00015605285,0.08951529,0.00224815,0.8852214],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99909246,0.00008274145,0.000060311755,0.000116753596,0.00048947235,0.00015828278],"domain_scores_gemma":[0.9882081,0.0022074347,0.0008081198,0.0023042418,0.004894084,0.0015781183],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013617157,0.000960201,0.0012718387,0.0050898725,0.0011005265,0.0048334817,0.0018948232,0.0018858245,0.8843925],"category_scores_gemma":[0.013538822,0.00045104485,0.0007507406,0.009759353,0.00049410516,0.0032274444,0.0027593342,0.0016586785,0.68603206],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027356848,0.000016602266,0.00052124716,0.00016256595,0.000006259223,0.00003927199,0.000055344626,0.00010540675,0.00014668006,0.0061530056,0.9599135,0.03285274],"study_design_scores_gemma":[0.000018768462,0.0000112666585,0.0025318912,0.00014758963,0.0000056412723,0.00006771325,0.00012930999,0.00027139028,0.00021235301,0.002513982,0.9940731,0.000016962927],"about_ca_topic_score_codex":0.020427633,"about_ca_topic_score_gemma":0.017866276,"teacher_disagreement_score":0.8843925,"about_ca_system_score_codex":0.002708087,"about_ca_system_score_gemma":0.0041214684,"threshold_uncertainty_score":0.1649},"labels":[],"label_agreement":null},{"id":"W7100619469","doi":"","title":"TECHNOLOGY SECTOR IN NEW BRUNSWICK 1","year":2005,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Cluster (spacecraft); Latent variable; Diamond model; Business cluster; Survey data collection; Manufacturing sector","score_opus":0.027537448188428043,"score_gpt":0.2127690167594866,"score_spread":0.18523156857105855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100619469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.803513,0.0087732095,0.010541233,0.0063428725,0.00023769707,0.0004178299,0.036358558,0.000259482,0.13355601],"genre_scores_gemma":[0.9240495,0.006474158,0.004173056,0.00064745685,0.000025311538,0.00021074702,0.01675583,0.00005732958,0.047606725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999433,0.000083952254,0.000040576528,0.00009553604,0.000119608914,0.00022723882],"domain_scores_gemma":[0.998874,0.00028620902,0.00028036934,0.00008255596,0.00035262038,0.00012423516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038583198,0.00033542668,0.0003341384,0.0030848226,0.0010748795,0.0020681925,0.00090471003,0.0003521038,0.0066947564],"category_scores_gemma":[0.0018623237,0.00033987482,0.0003665139,0.011490956,0.00046759917,0.0010135164,0.0010788861,0.00074848573,0.0011077763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002334839,0.00014721784,0.63287973,0.00067332236,0.00015928992,0.0045073777,0.0064281323,0.031945936,0.0037361344,0.10637198,0.03170836,0.18120907],"study_design_scores_gemma":[0.000056146902,0.000058620986,0.69343686,0.00048712865,0.00008308814,0.0008177264,0.009744199,0.015916642,0.0018181042,0.009143712,0.26830125,0.00013654638],"about_ca_topic_score_codex":0.94512975,"about_ca_topic_score_gemma":0.96401876,"teacher_disagreement_score":0.054870248,"about_ca_system_score_codex":0.021322418,"about_ca_system_score_gemma":0.018688653,"threshold_uncertainty_score":0.15470564},"labels":[],"label_agreement":null},{"id":"W7100653927","doi":"","title":"on Foreign Markets: A Survival Analysis Approach Factors Determining the Success or Failure of Canadian Establishments on Foreign Markets: A Survival Analysis Approach","year":2004,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Survival analysis; Statistical analysis; Government (linguistics); Descriptive statistics; Life table; Actuarial Analysis","score_opus":0.04628378941937999,"score_gpt":0.22884102818262286,"score_spread":0.18255723876324287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100653927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982238,0.00073125435,0.009690827,0.0012734258,0.000040622082,0.000082747116,0.0018721138,0.000049910104,0.0040212027],"genre_scores_gemma":[0.9945913,0.00033787935,0.0007476476,0.00005551668,0.000033643482,0.00003321163,0.0010196614,0.000012752431,0.0031682234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980538,0.0005285436,0.00005717986,0.00026709834,0.00029050236,0.0008027609],"domain_scores_gemma":[0.98336065,0.008967896,0.002512118,0.0008397631,0.0024250883,0.0018945218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009223957,0.000752542,0.0009908949,0.0038294971,0.0019340218,0.0023861388,0.0017512785,0.0010880491,0.007041793],"category_scores_gemma":[0.018688072,0.0002562819,0.0017546813,0.0034285497,0.0020687615,0.0014017565,0.0016867797,0.0022147063,0.00047957688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038403066,0.000079703525,0.9301844,0.000057334753,0.0004994952,0.0003410394,0.0015354174,0.020646472,0.00028645134,0.010315445,0.0034667822,0.03220343],"study_design_scores_gemma":[0.000048745096,0.000351731,0.79352045,0.00016229674,0.00072652043,0.00024007437,0.006880755,0.17981434,0.00036119358,0.013420764,0.004326858,0.00014624135],"about_ca_topic_score_codex":0.7137191,"about_ca_topic_score_gemma":0.62613755,"teacher_disagreement_score":0.28628087,"about_ca_system_score_codex":0.004809951,"about_ca_system_score_gemma":0.008635242,"threshold_uncertainty_score":0.57593364},"labels":[],"label_agreement":null},{"id":"W7100868160","doi":"","title":"credit, including © notice, is given to the source. Productivity Growth and Stock Returns: Firm- and Aggregate-Level Analyses","year":2013,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Productivity; Developing country; Subject (documents); National accounts","score_opus":0.12159407480157976,"score_gpt":0.2802134193019238,"score_spread":0.15861934450034404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100868160","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023168453,0.00053937227,0.0027353473,0.004772341,0.003727117,0.0003390908,0.5856197,0.00553345,0.39441672],"genre_scores_gemma":[0.010205219,0.00226273,0.0018892281,0.00048129002,0.0008417479,0.00031712398,0.2836168,0.0033022393,0.69708365],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99914885,0.0000541307,0.00008067851,0.000106304266,0.0005165816,0.00009355882],"domain_scores_gemma":[0.9909663,0.0015287802,0.00056675536,0.0013925366,0.0048643905,0.00068126916],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011780888,0.0006706333,0.0008908992,0.0053125024,0.0008309841,0.0026401393,0.0014642816,0.0011356155,0.82957715],"category_scores_gemma":[0.011161894,0.00054074504,0.00078514125,0.009366136,0.00029884267,0.002969352,0.0014411686,0.0013579865,0.70570564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027851527,0.000023900273,0.000989017,0.00010037595,0.000004673405,0.000015755712,0.000018999142,0.000070258335,0.00012845272,0.001374098,0.97805804,0.019188493],"study_design_scores_gemma":[0.000034625235,0.000023813149,0.010193198,0.00014887891,0.000007843492,0.00004721632,0.00011086005,0.0003586379,0.000437184,0.0012135439,0.98740447,0.00001978941],"about_ca_topic_score_codex":0.01941459,"about_ca_topic_score_gemma":0.01596617,"teacher_disagreement_score":0.82957715,"about_ca_system_score_codex":0.0013766309,"about_ca_system_score_gemma":0.0023450581,"threshold_uncertainty_score":0.24308753},"labels":[],"label_agreement":null},{"id":"W7101075192","doi":"","title":"Performance Improvement Cycle effect Supermarket High Cooling &amp;amp; Low power Refrigeration systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Refrigeration; Refrigerant; HVAC; Gas compressor; Chiller; Energy consumption; Waste heat; Absorption refrigerator; Heat pump and refrigeration cycle","score_opus":0.02508720970139047,"score_gpt":0.21937312180613397,"score_spread":0.1942859121047435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101075192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8025748,0.0023370304,0.07855956,0.00059858506,0.0001705411,0.00027519147,0.0020544166,0.007962592,0.10546725],"genre_scores_gemma":[0.9772798,0.00018784025,0.0088311,0.000064253916,0.0000363476,0.000050280716,0.0005777355,0.00013995678,0.012832721],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99981254,0.000026529126,0.000007128562,0.000035805457,0.00008669786,0.000031329826],"domain_scores_gemma":[0.9997427,0.000034840225,0.000021871801,0.00003088575,0.00015363932,0.00001601253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020191948,0.00042578555,0.00017092527,0.00042889317,0.00027927084,0.0004466997,0.00067225064,0.00027054545,0.018388899],"category_scores_gemma":[0.00031877053,0.000083626794,0.00017289109,0.0005479136,0.0001568833,0.0006073024,0.00039808935,0.00029129616,0.0029888945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017969105,0.0005096364,0.010673568,0.0008324407,0.000060910126,0.00015521584,0.00014891244,0.032650184,0.3116944,0.003907736,0.024119802,0.6134502],"study_design_scores_gemma":[0.0002775005,0.002596177,0.051701926,0.000062199506,0.000109927954,0.00040053323,0.000089900175,0.12828289,0.6575734,0.001767163,0.15706304,0.00007535729],"about_ca_topic_score_codex":0.0015959615,"about_ca_topic_score_gemma":0.0015494655,"teacher_disagreement_score":0.018388899,"about_ca_system_score_codex":0.00062698335,"about_ca_system_score_gemma":0.00028026226,"threshold_uncertainty_score":0.061517},"labels":[],"label_agreement":null},{"id":"W7104176395","doi":"10.2139/ssrn.5687022","title":"&lt;p&gt;Talking to Hire: How Small Firms Pave their Way to Hire When Large Firms Lay Off&lt;/p&gt;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Disadvantage; Human capital; Face (sociological concept); Information technology; Capital (architecture); Job loss","score_opus":0.01745385248304359,"score_gpt":0.21491257750697626,"score_spread":0.19745872502393266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104176395","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10377195,0.0035412202,0.029630361,0.22905885,0.0031860257,0.00009095391,0.0007656754,0.001075461,0.6288795],"genre_scores_gemma":[0.77616084,0.0019515171,0.008155463,0.014325085,0.0007615151,0.00009542306,0.00040222032,0.0008764036,0.1972716],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99824727,0.0007722169,0.00004313797,0.00022816852,0.00038430013,0.00032495102],"domain_scores_gemma":[0.99130917,0.0046950593,0.0007920759,0.0005597081,0.0007582877,0.0018855932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030991663,0.00027062566,0.00033951487,0.00073730457,0.0042526056,0.00884649,0.00080869865,0.0043741325,0.061510306],"category_scores_gemma":[0.017871464,0.00033858235,0.00036830266,0.0013314639,0.0038979796,0.007898274,0.002689062,0.0038392579,0.015382665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030402973,0.0001484557,0.009705904,0.00031662788,0.000031344396,0.0010406482,0.031668458,0.00080181716,0.0035808957,0.21965048,0.46219927,0.27055204],"study_design_scores_gemma":[0.000080200814,0.00015765069,0.024770167,0.00048387353,0.00006035987,0.000467069,0.05041172,0.004410091,0.0037617753,0.35062042,0.5646004,0.00017634567],"about_ca_topic_score_codex":0.0068969997,"about_ca_topic_score_gemma":0.009934603,"teacher_disagreement_score":0.061510306,"about_ca_system_score_codex":0.0019477181,"about_ca_system_score_gemma":0.0026896656,"threshold_uncertainty_score":0.20577246},"labels":[],"label_agreement":null},{"id":"W7107972268","doi":"10.34989/sdp-2025-15","title":"Do Firms’ Sales Expectations Hit the Mark? Evidence from the Business Leaders’ Pulse","year":2025,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Work (physics); Value (mathematics); Sales management; Survey data collection; Business statistics; Business cycle; Replication (statistics)","score_opus":0.047785848533681334,"score_gpt":0.2510621265600186,"score_spread":0.20327627802633724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7107972268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918052,0.0002607922,0.0005825455,0.0013497053,0.000015739875,0.000008026249,0.00044635692,0.000013268533,0.0055183424],"genre_scores_gemma":[0.99935883,0.000080276295,0.000036878122,0.00007846697,0.00001429704,0.0000017339265,0.00018782094,0.0000024066896,0.00023932796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880135,0.00025072647,0.00006899465,0.00017825808,0.00048858067,0.0002121299],"domain_scores_gemma":[0.94225323,0.027973805,0.017225878,0.0028962358,0.0068253106,0.002825588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035781206,0.00014996248,0.0003439006,0.0006273946,0.00052137306,0.0016978127,0.0004820569,0.0008007593,0.0023189995],"category_scores_gemma":[0.034848835,0.0001939796,0.00023435827,0.0009208601,0.0008172761,0.001228539,0.0008704404,0.0010655005,0.00057511416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058946013,0.00009391583,0.97279084,0.00005204878,0.00009907736,0.00014571042,0.0020582178,0.0019936643,0.0002663796,0.0026736492,0.0024847323,0.016752305],"study_design_scores_gemma":[0.000019146244,0.000118488024,0.99006796,0.000020332964,0.00002718522,0.000028730708,0.0019896324,0.0030845667,0.0004280302,0.0017163665,0.002472836,0.00002675416],"about_ca_topic_score_codex":0.059010513,"about_ca_topic_score_gemma":0.041611742,"teacher_disagreement_score":0.059010513,"about_ca_system_score_codex":0.0010788069,"about_ca_system_score_gemma":0.0007846787,"threshold_uncertainty_score":0.11733407},"labels":[],"label_agreement":null},{"id":"W7113895160","doi":"10.2139/ssrn.5870582","title":"CAPEX for OPEX: How AI Adoption Reshapes Corporate Cost Structures and Profitability?","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Salary; Earnings; Labor cost; Pace; Complementarity (molecular biology); Capital cost; Capital (architecture); Cost of capital","score_opus":0.04082522994350016,"score_gpt":0.2553028138454006,"score_spread":0.21447758390190044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113895160","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37897387,0.0062979064,0.016698595,0.068444856,0.0025948584,0.00017067483,0.0061520976,0.0019816733,0.5186855],"genre_scores_gemma":[0.9027145,0.0015691882,0.0066816155,0.0014827248,0.00048958743,0.00009990631,0.0012655763,0.00061596144,0.08508096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991204,0.0001986495,0.000032616284,0.00015698189,0.00029828332,0.00019307646],"domain_scores_gemma":[0.99374723,0.0028590357,0.00095600035,0.0008330363,0.00088980375,0.0007148997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022390734,0.0005230752,0.0003942107,0.0011288943,0.00091051875,0.004779598,0.0009880074,0.0011738244,0.05054527],"category_scores_gemma":[0.021011991,0.00020410113,0.00042461493,0.0016156043,0.0010452813,0.0049506556,0.0019345077,0.002474414,0.0037906596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010558631,0.00027972113,0.019612337,0.00050561,0.00014642962,0.0008554873,0.0016507539,0.009730415,0.003541962,0.4215015,0.19630165,0.34481823],"study_design_scores_gemma":[0.00040580696,0.00044408772,0.10386031,0.0008127505,0.00026495988,0.00070322305,0.004010635,0.044719532,0.008286364,0.27555227,0.56072176,0.00021826799],"about_ca_topic_score_codex":0.01479141,"about_ca_topic_score_gemma":0.009609824,"teacher_disagreement_score":0.05054527,"about_ca_system_score_codex":0.002341581,"about_ca_system_score_gemma":0.0020013303,"threshold_uncertainty_score":0.1690908},"labels":[],"label_agreement":null},{"id":"W7116877376","doi":"10.25318/36280001202501200002-fra","title":"Le rôle de la taille des entreprises dans l’écart de productivité du travail entre le Canada et les États-Unis depuis 2000","year":2025,"lang":"","type":"article","venue":"Statistics Canada Dissemination","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Identity (music); Context (archaeology)","score_opus":0.005164181813470637,"score_gpt":0.20514926064145986,"score_spread":0.19998507882798922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116877376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9322672,0.008049512,0.0021099106,0.004383618,0.0000555035,0.000043344397,0.010498622,0.000105461615,0.042486954],"genre_scores_gemma":[0.9599926,0.0026729053,0.00086688105,0.0002667363,0.000025565334,0.000018616549,0.004277929,0.000034771143,0.03184413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985108,0.00009451544,0.000049917744,0.00020581756,0.0007354952,0.00040351748],"domain_scores_gemma":[0.98695695,0.003283695,0.0025164552,0.00044273268,0.004913141,0.001886968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017967331,0.00027174028,0.00036912927,0.002543636,0.0016295073,0.003385171,0.0005590602,0.0005413954,0.005141318],"category_scores_gemma":[0.0061671794,0.0002267232,0.00050826697,0.0037779356,0.0010571767,0.0010350321,0.00065698585,0.0014651283,0.0006372781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047273524,0.000095400064,0.86482376,0.00019004657,0.00025632308,0.00036399844,0.0056909975,0.0040689744,0.0019168835,0.0124816215,0.010815312,0.09882407],"study_design_scores_gemma":[0.000010154176,0.000039318245,0.9671464,0.000085304775,0.000065790184,0.00004809293,0.0020818918,0.0011704942,0.0011494717,0.00065215386,0.027519198,0.00003173796],"about_ca_topic_score_codex":0.9327696,"about_ca_topic_score_gemma":0.96731347,"teacher_disagreement_score":0.9819716,"about_ca_system_score_codex":0.01802837,"about_ca_system_score_gemma":0.023720292,"threshold_uncertainty_score":0.1352526},"labels":[],"label_agreement":null},{"id":"W7116941042","doi":"10.25318/36280001202501200002-eng","title":"The role of firm size in the Canada–U.S. labour productivity gap since 2000","year":2025,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Divergence (linguistics); Business sector; Manufacturing sector","score_opus":0.11690117740148297,"score_gpt":0.4328138740066731,"score_spread":0.3159126966051901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116941042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94394535,0.00871656,0.00017361874,0.015978722,0.00013251569,0.00002094105,0.0027844924,0.000027614835,0.028220221],"genre_scores_gemma":[0.9956226,0.001202231,0.00005076836,0.00039420612,0.000037180245,0.0000035328587,0.0008150438,0.0000068116665,0.001867637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860626,0.00006518785,0.000044872006,0.00013063363,0.00043724227,0.00071581086],"domain_scores_gemma":[0.99159735,0.0014242183,0.0020396055,0.0001639711,0.0021301582,0.0026448378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012792076,0.00013203191,0.0003012642,0.002358352,0.0022263476,0.0024690526,0.00080447906,0.0005657907,0.003650079],"category_scores_gemma":[0.0062722587,0.000118622585,0.00029795078,0.004746977,0.0015153555,0.0008800573,0.0014890855,0.0012232058,0.00031252197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024965437,0.000107217114,0.90986365,0.0001424088,0.00008392021,0.00064953766,0.0040305858,0.0012798313,0.00037557524,0.013725689,0.021305934,0.04818595],"study_design_scores_gemma":[0.000007921149,0.000018770317,0.9878251,0.000115653864,0.000025523588,0.000047045905,0.003073889,0.0003582648,0.0001267494,0.00044556762,0.007942212,0.000013431553],"about_ca_topic_score_codex":0.9467209,"about_ca_topic_score_gemma":0.9717561,"teacher_disagreement_score":0.98439145,"about_ca_system_score_codex":0.015608567,"about_ca_system_score_gemma":0.029409986,"threshold_uncertainty_score":0.11324859},"labels":[],"label_agreement":null},{"id":"W7117300901","doi":"10.2139/ssrn.5971322","title":"Estimating Markups Using Firm-Level Data: From Accounting Data to Production Inputs","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Microdata (statistics); Proxy (statistics); Wage; Variable (mathematics); Profit (economics); Sample (material); Variable cost; Production (economics); Selection bias","score_opus":0.1648116716613971,"score_gpt":0.3197441055358363,"score_spread":0.15493243387443922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117300901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91059816,0.0020693878,0.059320863,0.000733732,0.00007939975,0.00014661063,0.021093907,0.00083271315,0.005125146],"genre_scores_gemma":[0.9643935,0.00075235165,0.022122724,0.0000397211,0.00008380072,0.00007343661,0.011382648,0.000035357058,0.001116395],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984149,0.0006253866,0.00018287738,0.0003041091,0.00029609483,0.00017652292],"domain_scores_gemma":[0.9768008,0.016180947,0.0039042172,0.0015955681,0.0012534877,0.00026492728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027507767,0.0007847545,0.0008733299,0.004418225,0.00025851143,0.0023278631,0.000768991,0.001184272,0.002516202],"category_scores_gemma":[0.023848735,0.00063840114,0.000886828,0.0059343455,0.0003388607,0.0017296654,0.00076498126,0.0009201852,0.0010449766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039797882,0.00035846815,0.6468099,0.0006609409,0.0009177406,0.00034505845,0.0002500183,0.19242656,0.0018394756,0.008833931,0.00617749,0.1409824],"study_design_scores_gemma":[0.0001179324,0.0003266946,0.5096085,0.00020899622,0.0004945575,0.00016536558,0.00051847374,0.43260717,0.013038046,0.03382682,0.008962832,0.0001245789],"about_ca_topic_score_codex":0.016893232,"about_ca_topic_score_gemma":0.011903553,"teacher_disagreement_score":0.016893232,"about_ca_system_score_codex":0.0009532928,"about_ca_system_score_gemma":0.0011611256,"threshold_uncertainty_score":0.03358984},"labels":[],"label_agreement":null},{"id":"W7117479648","doi":"10.1080/09537325.2025.2607471","title":"Effect of interactive empowerment between digital technology and social network on manufacturing firm growth: evidence from China","year":2025,"lang":"en","type":"article","venue":"Technology Analysis and Strategic Management","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Social network (sociolinguistics); Social network analysis; Information technology; Empowerment; Context (archaeology); Government (linguistics); Field (mathematics)","score_opus":0.011776136875786035,"score_gpt":0.24411056550043253,"score_spread":0.23233442862464648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117479648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848443,0.00014033736,0.00006789423,0.00015530434,0.0000023562295,0.000005043313,0.00007228441,0.0000020855277,0.0010701502],"genre_scores_gemma":[0.99957424,0.00013551347,0.000027014956,0.000014205002,0.000002912628,0.0000034983016,0.0000730127,5.538417e-7,0.00016923813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993185,0.00017465491,0.00004831696,0.00011546528,0.00012883921,0.00021411496],"domain_scores_gemma":[0.99607384,0.0013904765,0.0013035947,0.00017562363,0.0004591426,0.0005973172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226903,0.00028788974,0.00026494925,0.0016615458,0.0008390493,0.000921147,0.00040196412,0.00029399554,0.0022226053],"category_scores_gemma":[0.0029031828,0.00013144489,0.00053016626,0.0017786615,0.00091467774,0.001017998,0.0015517059,0.00047503193,0.00014572384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047858677,0.00008838124,0.9837494,0.000045933157,0.0000636239,0.0003372316,0.0019085067,0.000448783,0.00017707232,0.0007269803,0.00028153416,0.012124678],"study_design_scores_gemma":[0.0000053659505,0.000039953346,0.9941578,0.000025698977,0.000053373264,0.000033364413,0.0028327953,0.001741232,0.00011142598,0.00017514193,0.0008159131,0.000007820527],"about_ca_topic_score_codex":0.050017096,"about_ca_topic_score_gemma":0.07373472,"teacher_disagreement_score":0.050017096,"about_ca_system_score_codex":0.0014852314,"about_ca_system_score_gemma":0.0018413251,"threshold_uncertainty_score":0.0994519},"labels":[],"label_agreement":null},{"id":"W7132869852","doi":"","title":"Essays in Macroeconomics","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Product market; Oligopoly; Subsidy; General equilibrium theory; Competition (biology); Welfare; Product (mathematics); Consumption (sociology); Product differentiation; Monopolistic competition","score_opus":0.030981941859426817,"score_gpt":0.2955482798709482,"score_spread":0.2645663380115214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132869852","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021531666,0.36749414,0.0064399866,0.29271314,0.05614992,0.00004276541,0.0013861934,0.00040118428,0.27321953],"genre_scores_gemma":[0.10915828,0.41848058,0.005931952,0.06217334,0.13063705,0.0003462802,0.0021665653,0.0008365967,0.2702694],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982973,0.0005565957,0.000113196555,0.00038612596,0.00048927945,0.00015759114],"domain_scores_gemma":[0.9965785,0.0018351325,0.00028257436,0.0004255201,0.00061269756,0.00026548572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027069564,0.0016714424,0.0013248168,0.0028783479,0.0018663334,0.00591757,0.0008480481,0.003170759,0.03255083],"category_scores_gemma":[0.010646241,0.0004049265,0.001081994,0.00402558,0.0042692637,0.005515945,0.0023855052,0.006058688,0.014106051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036481124,0.000027748398,0.00076894125,0.00034995851,0.0000302547,0.00006159916,0.00051876885,0.00061290816,0.00009702866,0.41467747,0.52097374,0.061845135],"study_design_scores_gemma":[0.000007764292,0.000014960143,0.0007454915,0.00050036877,0.0000074236477,0.000050154496,0.00016297703,0.00018401859,0.00003157463,0.090626776,0.9076578,0.000010673865],"about_ca_topic_score_codex":0.0026365847,"about_ca_topic_score_gemma":0.0016876527,"teacher_disagreement_score":0.03255083,"about_ca_system_score_codex":0.003817155,"about_ca_system_score_gemma":0.0026896747,"threshold_uncertainty_score":0.108893394},"labels":[],"label_agreement":null},{"id":"W7133394983","doi":"","title":"Strategic Behavior and Key Factors of Success of Belgian Industrial Firms","year":2002,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Key (lock); Strategic planning; Government (linguistics); Work (physics)","score_opus":0.11401928808359825,"score_gpt":0.24295123582864186,"score_spread":0.12893194774504363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133394983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967403,0.00047783082,0.00006976574,0.00014702934,0.00000325708,0.0000031464494,0.00009420095,0.000002451661,0.0024620984],"genre_scores_gemma":[0.9994832,0.00008913364,0.000019188883,0.0000071535737,0.0000031269653,8.8569635e-7,0.000061827915,9.989675e-7,0.00033442065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904305,0.0002835148,0.00004838608,0.00008327866,0.00012079822,0.00042097294],"domain_scores_gemma":[0.9935695,0.002167957,0.002320884,0.00014477085,0.00047145772,0.001325501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011094898,0.00019209411,0.00024208485,0.0014601871,0.00057630625,0.0020736647,0.00030460485,0.0007261792,0.002838856],"category_scores_gemma":[0.0049966252,0.00013724493,0.00022216605,0.0017880533,0.00071954983,0.00046800383,0.00058055104,0.0004636682,0.00040984206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021300331,0.00013043449,0.9846935,0.00002044119,0.00008343748,0.0001764247,0.0008833892,0.0019839925,0.00033762256,0.0018448462,0.00048447555,0.009148381],"study_design_scores_gemma":[0.0000060995367,0.000041920688,0.99604815,0.000015627478,0.00001914556,0.00006819836,0.001513162,0.000985836,0.000095366784,0.00045344603,0.0007464328,0.000006534937],"about_ca_topic_score_codex":0.072463125,"about_ca_topic_score_gemma":0.09656799,"teacher_disagreement_score":0.072463125,"about_ca_system_score_codex":0.0018376566,"about_ca_system_score_gemma":0.0017500444,"threshold_uncertainty_score":0.14408267},"labels":[],"label_agreement":null},{"id":"W7135520252","doi":"","title":"Market failures and environmental innovation: a firm size perspective in pre-Brexit UK","year":2025,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perspective (graphical); Market failure; Government (linguistics); Productivity; Context (archaeology)","score_opus":0.016846767893285337,"score_gpt":0.24794249539324814,"score_spread":0.2310957274999628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135520252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724638,0.0023936115,0.000325332,0.0056799897,0.000026282609,0.000010832648,0.0010140651,0.000013599941,0.018072406],"genre_scores_gemma":[0.99429816,0.0006311499,0.000035515626,0.00007977486,0.000020367017,0.0000046691553,0.00018001972,0.0000048553943,0.0047455644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945754,0.00007137733,0.000034254925,0.00007293632,0.00013783149,0.00022604308],"domain_scores_gemma":[0.99346536,0.002644345,0.0020143127,0.00016199177,0.0008630482,0.00085100834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007240453,0.000121704026,0.00030764128,0.0018946438,0.0004853214,0.0025442373,0.00035132671,0.00074004673,0.010386338],"category_scores_gemma":[0.004685906,0.00013855683,0.00024173655,0.0027442703,0.0010896142,0.003052578,0.0014615566,0.0011738837,0.00051715417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083885796,0.00045091717,0.7447089,0.0004555925,0.00012343001,0.004035277,0.013862692,0.013361517,0.0024585729,0.09910298,0.016270922,0.104330376],"study_design_scores_gemma":[0.000015619993,0.00012097338,0.972172,0.00009331915,0.000017673929,0.00013925624,0.005942467,0.00221917,0.0003620126,0.005755743,0.013133868,0.000027806824],"about_ca_topic_score_codex":0.093288034,"about_ca_topic_score_gemma":0.1514593,"teacher_disagreement_score":0.093288034,"about_ca_system_score_codex":0.00394462,"about_ca_system_score_gemma":0.0016952688,"threshold_uncertainty_score":0.18549007},"labels":[],"label_agreement":null},{"id":"W7135688159","doi":"","title":"Beyond creative destruction: how firm size shapes the impact of technology investment on employment in skill-deprived economies","year":2025,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Investment (military); Productivity; Production (economics); Government (linguistics)","score_opus":0.023134628017758414,"score_gpt":0.27254975991482505,"score_spread":0.24941513189706663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135688159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99115354,0.00017702479,0.0001997154,0.0007665273,0.0000059011077,0.0000036769275,0.000123276,0.000007700548,0.0075626546],"genre_scores_gemma":[0.9991487,0.00004816403,0.000016772618,0.00003062213,0.000003263129,9.586721e-7,0.000022693912,0.0000029783612,0.00072583236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997503,0.000057014262,0.000011312098,0.00003091088,0.000030047242,0.00012037744],"domain_scores_gemma":[0.996218,0.0019678462,0.0005016775,0.00021280005,0.00021948847,0.0008801788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006385792,0.00012695052,0.00035747382,0.00058676145,0.00051429315,0.002586767,0.0004424565,0.0007317132,0.0117033515],"category_scores_gemma":[0.00531155,0.00016737402,0.00036277887,0.00061153,0.0016669316,0.0016450093,0.0018417037,0.0007105725,0.0007342471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004420992,0.00097525236,0.7576541,0.00039600252,0.0004257422,0.0041795126,0.0068259095,0.0324664,0.019747194,0.08712316,0.007588818,0.078197025],"study_design_scores_gemma":[0.00013398673,0.00029141543,0.9063292,0.00007471345,0.00009043622,0.00025854542,0.009048522,0.0076478343,0.0017903409,0.07039261,0.0039009103,0.000041534357],"about_ca_topic_score_codex":0.007360604,"about_ca_topic_score_gemma":0.01094894,"teacher_disagreement_score":0.0117033515,"about_ca_system_score_codex":0.00067961455,"about_ca_system_score_gemma":0.0006454385,"threshold_uncertainty_score":0.03915161},"labels":[],"label_agreement":null},{"id":"W7151106833","doi":"10.70675/0686f760z767dz49c9za793za9788897efae","title":"Essays in Economics : Innovation, Firm Dynamics and Financial Cycles","year":2021,"lang":"","type":"dissertation","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Concurrence; Shock (circulatory); Statistical analysis","score_opus":0.015587100056911071,"score_gpt":0.22262293047975448,"score_spread":0.2070358304228434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151106833","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057676632,0.51082104,0.0366664,0.14415945,0.0058115222,0.000061225655,0.00070293905,0.00013087783,0.24396993],"genre_scores_gemma":[0.4820054,0.3229404,0.006346036,0.008100356,0.012238757,0.00013771249,0.00040676416,0.0001411196,0.16768348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952185,0.00013404984,0.000028965354,0.0000898739,0.00016560919,0.00005965315],"domain_scores_gemma":[0.99748,0.0017798449,0.00028418997,0.000117279465,0.00021328389,0.00012535766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010628013,0.0007376633,0.0006043758,0.0021643043,0.00092665583,0.0040278784,0.0005945097,0.0023447827,0.009517261],"category_scores_gemma":[0.0039366726,0.00037226363,0.00090810756,0.0034044273,0.0030671805,0.004317725,0.0010708296,0.0018077116,0.0013317468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056657187,0.000079720725,0.0044812304,0.0004908406,0.00007722032,0.00026530176,0.0012863146,0.008141936,0.0006192569,0.8669167,0.05755443,0.060030393],"study_design_scores_gemma":[0.000024543084,0.000049347113,0.00736136,0.0006570413,0.00003733871,0.00019629851,0.0007271653,0.0033044778,0.00029883205,0.65507245,0.3322389,0.00003221562],"about_ca_topic_score_codex":0.0034330608,"about_ca_topic_score_gemma":0.0031693305,"teacher_disagreement_score":0.009517261,"about_ca_system_score_codex":0.002970993,"about_ca_system_score_gemma":0.0014672148,"threshold_uncertainty_score":0.031838357},"labels":[],"label_agreement":null},{"id":"W7154624164","doi":"10.19080/asm.2025.12.555831","title":"Artificial Intelligence and the Limits of the Measurement of Productivity","year":2025,"lang":"","type":"article","venue":"Annals of Social Sciences & Management studies","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Productivity; Production (economics); Function (biology); Decomposition; Reinterpretation; Basis (linear algebra)","score_opus":0.3277880049127788,"score_gpt":0.36782189951736116,"score_spread":0.04003389460458234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154624164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1307118,0.050320942,0.6065175,0.07690417,0.0014632856,0.00009935644,0.00083161495,0.00040891246,0.13274243],"genre_scores_gemma":[0.89441,0.011071031,0.087277755,0.0024369662,0.0015087195,0.00023832623,0.00023578922,0.00011383107,0.0027076756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9799488,0.011834085,0.0011890745,0.0027677573,0.0038070509,0.00045315866],"domain_scores_gemma":[0.89847064,0.07969237,0.0051597846,0.012235045,0.003732695,0.0007094569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02267374,0.0008799076,0.0014447083,0.004693273,0.0012124688,0.009461563,0.00176523,0.002024467,0.0014088436],"category_scores_gemma":[0.08237555,0.0006413125,0.0008450014,0.0050047655,0.020850858,0.014522962,0.0051759207,0.0051762126,0.00045034432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016800597,0.000016755937,0.002403469,0.0001005014,0.000046731788,0.000019060679,0.00045488196,0.0027115424,0.00017120958,0.9517934,0.00085383916,0.041411847],"study_design_scores_gemma":[0.000004098321,0.000008780267,0.0012586615,0.00009668049,0.0000063908756,0.000022270064,0.00013328058,0.004517051,0.00009833335,0.9899739,0.0038672916,0.000013262158],"about_ca_topic_score_codex":0.0024822105,"about_ca_topic_score_gemma":0.001079988,"teacher_disagreement_score":0.02267374,"about_ca_system_score_codex":0.003701769,"about_ca_system_score_gemma":0.0019847127,"threshold_uncertainty_score":0.11991161},"labels":[],"label_agreement":null},{"id":"W73525218","doi":"10.1057/9780230598447_5","title":"Why do foreign-owned firms in the UK have higher labour productivity?","year":2001,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Labour economics; Economics; Business; Economic growth","score_opus":0.03596670431126601,"score_gpt":0.22110644825793885,"score_spread":0.18513974394667285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W73525218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6739588,0.06889473,0.0015821152,0.08233818,0.0026021933,0.000021055484,0.0030107067,0.00010758689,0.16748464],"genre_scores_gemma":[0.9529819,0.015579538,0.00020520684,0.0046541994,0.00042663878,0.000012342989,0.00055653264,0.000021033467,0.025562668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994698,0.00006385671,0.000031065345,0.000086840395,0.00011231243,0.00023605283],"domain_scores_gemma":[0.9981047,0.0005182646,0.0006258145,0.00010137392,0.00038739078,0.00026243035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721066,0.00016522495,0.00034690517,0.0010505255,0.0006101621,0.003620758,0.0002759755,0.0011965933,0.013402946],"category_scores_gemma":[0.0040484774,0.00012702438,0.00024388981,0.0029621867,0.0010391522,0.0026669835,0.0005990886,0.0007528781,0.004054929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034315867,0.00013446338,0.37172645,0.0013207784,0.00013502699,0.002366287,0.02014776,0.00064527616,0.0012487175,0.06880401,0.18137564,0.3517524],"study_design_scores_gemma":[0.000056510584,0.000110035195,0.77315855,0.0010432921,0.00006470839,0.0017000826,0.025133586,0.0003273637,0.0005798744,0.01579498,0.1819574,0.0000735763],"about_ca_topic_score_codex":0.03689813,"about_ca_topic_score_gemma":0.05267545,"teacher_disagreement_score":0.03689813,"about_ca_system_score_codex":0.002044022,"about_ca_system_score_gemma":0.0007020754,"threshold_uncertainty_score":0.0733667},"labels":[],"label_agreement":null},{"id":"W74178864","doi":"10.71781/24136","title":"L’étude des déterminants et des effets de la formation au sein des entreprises canadiennes : au-delà de la productivité","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.04481509558247576,"score_gpt":0.312414650116919,"score_spread":0.26759955453444323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W74178864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97404873,0.0048915152,0.0016369248,0.003173233,0.00006742148,0.00006772359,0.00088530907,0.000030699528,0.015198384],"genre_scores_gemma":[0.98676884,0.0017683902,0.00069808774,0.00027647888,0.00003279764,0.000063025145,0.00038322012,0.00001563002,0.009993553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99604213,0.0013074588,0.00010360734,0.00084227993,0.0009717821,0.00073269365],"domain_scores_gemma":[0.98214346,0.007989696,0.0035909875,0.0010243272,0.0028491893,0.0024023417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036017883,0.0005793615,0.0006449675,0.0016078432,0.001915104,0.0040830835,0.0012568993,0.0015195799,0.009864386],"category_scores_gemma":[0.0155449165,0.0004613925,0.0009472697,0.003057555,0.001968243,0.00196362,0.0024570639,0.0015407401,0.001137986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026739598,0.00020863763,0.94329506,0.000279505,0.00069515576,0.00023006831,0.011437166,0.0005496298,0.00063437386,0.005502666,0.0013785865,0.035521794],"study_design_scores_gemma":[0.000013901929,0.00016539563,0.9761555,0.00025482327,0.00027787162,0.000061842155,0.010266489,0.0004979216,0.00046478718,0.0014141682,0.010400207,0.000027070326],"about_ca_topic_score_codex":0.3550768,"about_ca_topic_score_gemma":0.36202917,"teacher_disagreement_score":0.9940296,"about_ca_system_score_codex":0.0059704343,"about_ca_system_score_gemma":0.009818269,"threshold_uncertainty_score":0.70602},"labels":[],"label_agreement":null},{"id":"W766814465","doi":"10.59876/a-h2mz-eq60","title":"Internationalisation des entreprises en démarrage et systèmes juridiques : une analyse institutionnelle des choix de localisation","year":2005,"lang":"en","type":"article","venue":"Management international","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internationalization; Transaction cost; Sample (material); Field research; Business; Empirical research; Field (mathematics); Database transaction; Welfare economics; Economy; Industrial organization; Economics; Sociology; International trade; Finance; Computer science","score_opus":0.02885409128627654,"score_gpt":0.25535832060877245,"score_spread":0.22650422932249592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W766814465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83975303,0.008176757,0.09756421,0.0037646366,0.00007707269,0.00008949742,0.00034850597,0.00014816718,0.05007813],"genre_scores_gemma":[0.97864586,0.002781361,0.0099996645,0.0000574291,0.000095840536,0.00006641612,0.00021229558,0.000037649963,0.008103479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9953467,0.0022846176,0.00019167409,0.0005628282,0.001056738,0.00055741385],"domain_scores_gemma":[0.9789737,0.012535462,0.004575536,0.0009317181,0.002095934,0.00088758057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006788469,0.0005051524,0.00090929546,0.0035760335,0.001600741,0.011562405,0.0009054918,0.0013406402,0.007858513],"category_scores_gemma":[0.020804748,0.0005351298,0.0012181149,0.0047351215,0.0069155158,0.009214611,0.0021582176,0.0030690068,0.0007871662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019720399,0.000098381395,0.047201466,0.00029020826,0.00018264705,0.00047490117,0.0064197257,0.026769154,0.0014711213,0.8841945,0.001396835,0.031303946],"study_design_scores_gemma":[0.0003270033,0.0003318261,0.2907082,0.000560928,0.00026216608,0.0018867659,0.018755697,0.15572205,0.0048041097,0.44017738,0.0861048,0.00035900314],"about_ca_topic_score_codex":0.027798671,"about_ca_topic_score_gemma":0.012067944,"teacher_disagreement_score":0.027798671,"about_ca_system_score_codex":0.005534703,"about_ca_system_score_gemma":0.0030844898,"threshold_uncertainty_score":0.05527377},"labels":[],"label_agreement":null},{"id":"W78516658","doi":"","title":"Can the Canada-U.S. ICT Investment Gap be a Measurement Issue?","year":2013,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Information and Communications Technology; Business; Economics; Political science","score_opus":0.059830774157580834,"score_gpt":0.22205555777296562,"score_spread":0.16222478361538478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78516658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5462495,0.029214215,0.009063329,0.18113331,0.0015492447,0.00022003293,0.052902356,0.00042675534,0.1792413],"genre_scores_gemma":[0.9731109,0.0041466877,0.0022710548,0.005586432,0.00011393168,0.00008691926,0.008264581,0.000057473848,0.0063620876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934022,0.00043801847,0.00026060376,0.00055841974,0.0035769958,0.0017637698],"domain_scores_gemma":[0.9852048,0.0028717024,0.0030370774,0.0003840324,0.0071187275,0.0013837143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041179685,0.00032892934,0.0007427453,0.004515911,0.0028129392,0.0034693154,0.0014162813,0.00071493635,0.0035987266],"category_scores_gemma":[0.020970182,0.00019450631,0.0005266788,0.014844007,0.0013610934,0.0019828868,0.0017937493,0.0015255444,0.00037250752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024172163,0.00012447225,0.5756981,0.0007923873,0.00029413353,0.0004239198,0.006526023,0.0020767576,0.00034764622,0.11030576,0.15050076,0.15266828],"study_design_scores_gemma":[0.000027117507,0.00005177222,0.8797116,0.000627076,0.00009998714,0.0001415508,0.006309825,0.0025614924,0.0010342709,0.006684799,0.10267213,0.00007839687],"about_ca_topic_score_codex":0.98254645,"about_ca_topic_score_gemma":0.9859613,"teacher_disagreement_score":0.045558255,"about_ca_system_score_codex":0.045558255,"about_ca_system_score_gemma":0.057727784,"threshold_uncertainty_score":0.33054984},"labels":[],"label_agreement":null},{"id":"W809419665","doi":"","title":"The Dynamic Evolution of Factor Accumulations and Revealed Comparative Advantage in Canada.","year":2001,"lang":"en","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Evolutionary biology; Biology","score_opus":0.012416440866550029,"score_gpt":0.18012814484558765,"score_spread":0.16771170397903762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W809419665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632377,0.0050533833,0.0010228086,0.0022852903,0.00002385367,0.000022341532,0.008397213,0.00006468259,0.019892592],"genre_scores_gemma":[0.99234843,0.00093148503,0.00047955467,0.000039058952,0.000003815479,0.000003937233,0.0009169965,0.000012601789,0.005264236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955755,0.000029337845,0.000017286877,0.000079534344,0.00013144274,0.0001848252],"domain_scores_gemma":[0.9968682,0.0007903854,0.00042664638,0.00015651916,0.0012782954,0.00047992982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007622888,0.00018958811,0.00045146036,0.0024947347,0.0018042652,0.002996911,0.00083227496,0.00049209764,0.008759532],"category_scores_gemma":[0.00821684,0.00020207414,0.00032264407,0.0068508694,0.000982159,0.0010283426,0.00088175735,0.000608467,0.00034537137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008830234,0.00011355883,0.6466428,0.00031807233,0.00043157165,0.0010298999,0.0076853875,0.02752934,0.002020323,0.11353199,0.025649134,0.17416495],"study_design_scores_gemma":[0.00002302489,0.000031207328,0.9406856,0.000090447924,0.00009636131,0.00015474472,0.0038087135,0.015307644,0.0007996123,0.010728395,0.028190928,0.00008339497],"about_ca_topic_score_codex":0.99180084,"about_ca_topic_score_gemma":0.99425054,"teacher_disagreement_score":0.03891349,"about_ca_system_score_codex":0.03891349,"about_ca_system_score_gemma":0.028708076,"threshold_uncertainty_score":0.28233844},"labels":[],"label_agreement":null},{"id":"W812319128","doi":"10.2139/ssrn.2563585","title":"Long-Run Market Configurations in a Dynamic Quality-Ladder Model with Heterogeneity","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Quality (philosophy); Economics; Econometrics; Business; Computer science; Physics","score_opus":0.038677420956974094,"score_gpt":0.2687572615548907,"score_spread":0.2300798405979166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W812319128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8789982,0.0010357687,0.08842804,0.0068519535,0.000110436464,0.00009204391,0.001926964,0.0006398193,0.021916643],"genre_scores_gemma":[0.9859325,0.00028040324,0.0023498472,0.00013738456,0.000051380695,0.000027301852,0.00026804226,0.00005656692,0.010896544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992453,0.00025064187,0.000038615548,0.00013600998,0.000057552643,0.00027190003],"domain_scores_gemma":[0.9926801,0.0030381016,0.0017229146,0.0002929526,0.0004974521,0.001768534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024187684,0.000807514,0.0028338204,0.0019518418,0.0013868582,0.0058909655,0.0030877918,0.0054622917,0.015961677],"category_scores_gemma":[0.009428137,0.0014708338,0.0015913494,0.0019215755,0.0026303765,0.0070981993,0.0021513402,0.0026223934,0.0014922125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083502027,0.00042687237,0.007063147,0.00018004024,0.00023329645,0.0013202013,0.0002501228,0.63812506,0.0014595804,0.33869514,0.005720557,0.005690923],"study_design_scores_gemma":[0.0003250509,0.00010460903,0.0017721857,0.000029200532,0.00007863074,0.00012949806,0.00017624053,0.8751023,0.00010674838,0.121686734,0.00040752324,0.00008123637],"about_ca_topic_score_codex":0.017817136,"about_ca_topic_score_gemma":0.012667907,"teacher_disagreement_score":0.017817136,"about_ca_system_score_codex":0.0024876948,"about_ca_system_score_gemma":0.0015248974,"threshold_uncertainty_score":0.05339712},"labels":[],"label_agreement":null},{"id":"W820522871","doi":"10.71781/24323","title":"Crise du secteur manufacturier au Québec : ampleur et nature des restructurations impliquant des licenciements collectifs entre 2003 et 2008","year":2011,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.04826979824660212,"score_gpt":0.29125355661139424,"score_spread":0.2429837583647921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W820522871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325415,0.0027014168,0.0020678584,0.0027957943,0.00004896824,0.00011958592,0.0074696634,0.00008324878,0.052172016],"genre_scores_gemma":[0.96563643,0.0014560405,0.0016154255,0.0004086537,0.000010311707,0.000048715625,0.002680124,0.000032492855,0.02811182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988386,0.000101868056,0.000046172365,0.0001412792,0.0005445259,0.00032756678],"domain_scores_gemma":[0.9940655,0.0006466492,0.00091069884,0.00017969239,0.003716241,0.00048121208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001163023,0.00034731402,0.00026965598,0.0024554948,0.003635833,0.0030836277,0.0009035811,0.0004288927,0.009406038],"category_scores_gemma":[0.0037910757,0.00027307885,0.00044606716,0.005307483,0.0012944661,0.0010517706,0.0010258358,0.00082573935,0.00058539433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019294978,0.00007580865,0.83807546,0.0004679596,0.00023644106,0.00083161757,0.023889132,0.003489329,0.0024696277,0.0061047846,0.018173877,0.10599313],"study_design_scores_gemma":[0.0000037193397,0.000029833696,0.94487447,0.0002149309,0.000059634993,0.00006590853,0.01787268,0.0010018897,0.0006331821,0.00018855857,0.035023533,0.00003164027],"about_ca_topic_score_codex":0.9879259,"about_ca_topic_score_gemma":0.99532974,"teacher_disagreement_score":0.043066304,"about_ca_system_score_codex":0.043066304,"about_ca_system_score_gemma":0.031372577,"threshold_uncertainty_score":0.31246942},"labels":[],"label_agreement":null},{"id":"W85132736","doi":"10.25916/sut.26291923","title":"Small firm performance: modelling the role of innovative differentiation","year":2024,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Computer science; Industrial organization; Economics","score_opus":0.06060742305120207,"score_gpt":0.23774391473809775,"score_spread":0.1771364916868957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W85132736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6308824,0.004560028,0.21253091,0.004294453,0.0002816736,0.00041861914,0.0014829001,0.000657469,0.14489159],"genre_scores_gemma":[0.9705103,0.0009102942,0.00895984,0.00012879333,0.00008187414,0.00017753778,0.00031557394,0.00008413832,0.018831627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991691,0.0002934372,0.000030290219,0.00015016047,0.00014809039,0.00020901208],"domain_scores_gemma":[0.99578756,0.0022400732,0.0006752981,0.0002056324,0.000396805,0.00069460366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020001554,0.0013472333,0.0009977862,0.0021724468,0.00085416524,0.004377448,0.003310918,0.0038612064,0.011862691],"category_scores_gemma":[0.009581619,0.0006112762,0.0013690902,0.0020684632,0.0015737653,0.002781031,0.0020986432,0.0022892165,0.0028015184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016906411,0.00030489246,0.015913943,0.00009271691,0.00007243022,0.0006484778,0.0007230482,0.87490606,0.00071668864,0.09077152,0.0025183465,0.01316284],"study_design_scores_gemma":[0.00003804773,0.0000877587,0.001861942,0.000030469693,0.000026689113,0.00010776617,0.00013799734,0.97281057,0.00009933729,0.021675145,0.0031022246,0.0000220162],"about_ca_topic_score_codex":0.024547493,"about_ca_topic_score_gemma":0.010262449,"teacher_disagreement_score":0.024547493,"about_ca_system_score_codex":0.0029149821,"about_ca_system_score_gemma":0.0016439118,"threshold_uncertainty_score":0.04880923},"labels":[],"label_agreement":null},{"id":"W86956025","doi":"10.1080/19186444.2011.11658286","title":"Foreign Equity and Technological Capabilities: A Comparison of Joint-venture and National Automotive Suppliers in India","year":2011,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Business; Equity (law); Industrial organization; Technological change; Foreign ownership; Joint venture; Commerce; Marketing; Economics; Foreign direct investment","score_opus":0.1364625920349205,"score_gpt":0.295022946990147,"score_spread":0.15856035495522647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86956025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782503,0.013689982,0.000107545755,0.00043163612,0.0000102918575,0.0000042609754,0.00030042816,0.00000377369,0.007201943],"genre_scores_gemma":[0.9959441,0.0035036386,0.000019645891,0.000019889038,0.0000068882514,9.233938e-7,0.00011827634,7.3730246e-7,0.00038584834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972326,0.000048503458,0.00002784042,0.00002962676,0.00008402142,0.0000866435],"domain_scores_gemma":[0.9966556,0.0015821921,0.00089106255,0.000058632213,0.00065316545,0.00015933465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004928417,0.00010757901,0.00017969891,0.002433899,0.00028713015,0.0011767632,0.00026922263,0.00021076687,0.0014621983],"category_scores_gemma":[0.002197668,0.0000953057,0.0002694247,0.0061196685,0.00042654076,0.0006639972,0.00046614837,0.0003424044,0.00010918524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002117262,0.00005208797,0.94421476,0.00040994125,0.0002483649,0.0010393579,0.002120916,0.0010837952,0.00068744645,0.004741253,0.0016421359,0.04354812],"study_design_scores_gemma":[0.0000053814083,0.00005653412,0.9919193,0.000066302724,0.00014468042,0.00031065228,0.002637719,0.00026551713,0.00027214625,0.00019081523,0.0041230223,0.000007902942],"about_ca_topic_score_codex":0.048108432,"about_ca_topic_score_gemma":0.06655146,"teacher_disagreement_score":0.048108432,"about_ca_system_score_codex":0.0009805771,"about_ca_system_score_gemma":0.0010376074,"threshold_uncertainty_score":0.09565681},"labels":[],"label_agreement":null},{"id":"W8906969","doi":"10.1007/978-94-010-0806-8_14","title":"Derivative Effects of the 1999 Earthquake in Taiwan to U.S. Personal Computer Manufacturers","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Government (linguistics); Richter magnitude scale; Scale (ratio); Production (economics); Actuarial science; Forensic engineering; Demographic economics; Business; Geography; Engineering; Demography; History; Economics; Cartography; Sociology; Mathematics; Macroeconomics; Philosophy","score_opus":0.01605253791928166,"score_gpt":0.19090857333592182,"score_spread":0.17485603541664016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8906969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515236,0.000675305,0.00018144466,0.002564341,0.000048913054,0.00001287473,0.0011060651,0.000020140838,0.010238649],"genre_scores_gemma":[0.9973078,0.0004442171,0.000022854594,0.000084793086,0.00002236873,0.0000028305258,0.00029518295,0.000003098758,0.0018168263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.00003720682,0.000010125187,0.000016262456,0.000030035639,0.00005690236],"domain_scores_gemma":[0.99794656,0.00068556913,0.00083279697,0.00006993009,0.0002716031,0.00019354977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029266326,0.00019883797,0.00025719445,0.0005840673,0.00043900538,0.0010658253,0.00026362008,0.00091764744,0.0051214425],"category_scores_gemma":[0.0037543022,0.00012149519,0.00019495566,0.0012095809,0.00042392858,0.0006980194,0.0007956765,0.0012158098,0.00036401962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020951214,0.0009180239,0.8034729,0.00031043365,0.00045452116,0.0037803794,0.0042645265,0.042722356,0.002735796,0.015820371,0.041422147,0.082003474],"study_design_scores_gemma":[0.00006413254,0.0003696152,0.9731024,0.000082769424,0.00014245723,0.00014258691,0.0060500056,0.00788329,0.0008846328,0.005130836,0.0060975174,0.000049611976],"about_ca_topic_score_codex":0.06425247,"about_ca_topic_score_gemma":0.1120947,"teacher_disagreement_score":0.06425247,"about_ca_system_score_codex":0.0015438169,"about_ca_system_score_gemma":0.0006268053,"threshold_uncertainty_score":0.12775695},"labels":[],"label_agreement":null},{"id":"W953886933","doi":"","title":"Analysis of Tech-textile Industry Operation in the First Quarter of 2013","year":2013,"lang":"zh","type":"article","venue":"中国纺织（英文版）","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Textile industry; High tech; Business; Textile; Commerce; Operations management; Engineering; History","score_opus":0.021892248051768433,"score_gpt":0.21758070665177334,"score_spread":0.19568845860000492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W953886933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912436,0.00020464,0.0003004143,0.00022817662,0.000015912114,0.00001560399,0.0053070798,0.000024764406,0.002659817],"genre_scores_gemma":[0.9846415,0.00024492823,0.00015332305,0.00004401111,0.000029655503,0.000016420896,0.009048239,0.000010600316,0.005811323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995134,0.000044342596,0.000036327754,0.000066743414,0.00015032156,0.00018887373],"domain_scores_gemma":[0.9980714,0.00027040884,0.0007095594,0.000056661855,0.00059272005,0.0002992137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082762947,0.00022180074,0.00034970656,0.0021738736,0.00034923828,0.0012311677,0.00046710268,0.0004372006,0.0024235374],"category_scores_gemma":[0.0018558291,0.0001833643,0.00064911554,0.0030564738,0.0002524191,0.0006270135,0.00079108245,0.00062437804,0.0008939348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043397097,0.0003116373,0.96990997,0.00007588004,0.00015185903,0.00033659957,0.0004531395,0.0048561976,0.0010190667,0.0010942665,0.006936824,0.014420486],"study_design_scores_gemma":[0.0000029091525,0.00005271843,0.9936853,0.000008519089,0.000019903575,0.000043749234,0.00073114363,0.0031117212,0.00035096,0.00005655177,0.0019290582,0.0000074856466],"about_ca_topic_score_codex":0.11688827,"about_ca_topic_score_gemma":0.18070708,"teacher_disagreement_score":0.11688827,"about_ca_system_score_codex":0.002198302,"about_ca_system_score_gemma":0.0013704331,"threshold_uncertainty_score":0.23241585},"labels":[],"label_agreement":null}]}