{"meta":{"query_hash":"7aa0efaf4c8a","filters":{"venue":"Economics of Innovation and New Technology"},"cohort_total":28,"direct_labels_cover":0,"predictions_cover":28,"exported":28,"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/7aa0efaf4c8a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economics+of+Innovation+and+New+Technology"},"results":[{"id":"W1974313057","doi":"10.1080/10438590500475000","title":"Enterprise in orbit: The supply of communication satellites","year":2006,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","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":"Polytechnique Montréal","funders":"","keywords":"Oligopoly; Rule of thumb; Economics; Industrial organization; Microeconomics; Simple (philosophy); Satellite; Business; Computer science; Engineering","score_opus":0.019172724941899363,"score_gpt":0.2080921278404185,"score_spread":0.18891940289851913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974313057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89132357,0.0020515204,0.007363622,0.0027544794,0.000053086078,0.000019404444,0.0006872113,0.000058926416,0.09568817],"genre_scores_gemma":[0.98973185,0.00096647546,0.0005355865,0.00008085276,0.00004190172,0.0000034314623,0.00026672092,0.000008455437,0.008364655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.000026613481,0.000006072064,0.000023766881,0.00007403379,0.000034114753],"domain_scores_gemma":[0.9994236,0.00020210868,0.0001926393,0.00003059313,0.00009035033,0.000060781687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013493845,0.00011497107,0.00011173031,0.000557682,0.0005443409,0.0016418564,0.0002128435,0.0006367335,0.0056841443],"category_scores_gemma":[0.0015162122,0.00008620403,0.00011627648,0.0015908584,0.00028969618,0.0012570657,0.0006579045,0.00036694584,0.000543116],"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":[0.0005795479,0.00024535015,0.30291018,0.00055513374,0.000114905946,0.011207051,0.008618387,0.062038086,0.01400339,0.32580045,0.023347192,0.25058037],"study_design_scores_gemma":[0.000069945825,0.00051321817,0.30717278,0.00036578666,0.00016284014,0.0071468074,0.030566264,0.10450561,0.013979308,0.13509062,0.4002889,0.00013799031],"about_ca_topic_score_codex":0.008685,"about_ca_topic_score_gemma":0.008215547,"teacher_disagreement_score":0.008685,"about_ca_system_score_codex":0.0010002528,"about_ca_system_score_gemma":0.00057395874,"threshold_uncertainty_score":0.019015312},"labels":[],"label_agreement":null},{"id":"W1975436147","doi":"10.1080/10438599.2013.786581","title":"Innovation and knowledge-intensive business service: the contribution of knowledge-intensive business service to innovation in manufacturing establishments","year":2013,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":63,"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; Wilfrid Laurier University; Institut National de la Recherche Scientifique","funders":"","keywords":"Business; Service innovation; Service (business); Industrial organization; Knowledge management; Marketing; Computer science","score_opus":0.019236495547755632,"score_gpt":0.2406102318232641,"score_spread":0.22137373627550846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975436147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96373135,0.002571878,0.0012368542,0.0024875845,0.000012309692,0.000034527005,0.000106419655,0.000011769841,0.029807335],"genre_scores_gemma":[0.99840444,0.00048051795,0.00013971253,0.000037318034,0.0000062054996,0.000003852605,0.000017476736,0.0000014670218,0.0009090054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977208,0.00064894167,0.00008827604,0.00017796745,0.00067945,0.00068449596],"domain_scores_gemma":[0.98348904,0.009069337,0.0034493068,0.00050387706,0.0018991362,0.001589135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018147333,0.00015241753,0.00029953523,0.0037112,0.0020228338,0.0039579086,0.0008171849,0.0009536957,0.0052379495],"category_scores_gemma":[0.012402997,0.00012470342,0.0003542607,0.00483311,0.0049651326,0.0026441491,0.0029336363,0.00085440296,0.00025504947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012873266,0.00017458254,0.83184105,0.0004885451,0.000083846266,0.0012271877,0.02656062,0.0017087818,0.0008029403,0.04412255,0.0014552223,0.091405824],"study_design_scores_gemma":[0.000009861391,0.000087826425,0.9418628,0.00041977692,0.000054045886,0.000648997,0.030633789,0.0023425529,0.00042548022,0.008074196,0.015402411,0.000038164813],"about_ca_topic_score_codex":0.2985618,"about_ca_topic_score_gemma":0.3853312,"teacher_disagreement_score":0.2985618,"about_ca_system_score_codex":0.014591077,"about_ca_system_score_gemma":0.009429384,"threshold_uncertainty_score":0.59364796},"labels":[],"label_agreement":null},{"id":"W1976893417","doi":"10.1080/10438599.2011.561998","title":"Evaluating the effects of investment in information and communication technology","year":2011,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"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":"Information and Communications Technology; Productivity; Investment (military); European union; Economics; Panel data; Vector autoregression; Aggregate data; Labour economics; Business; International economics; Macroeconomics; Monetary economics; Econometrics","score_opus":0.05683544472723347,"score_gpt":0.2526237233501737,"score_spread":0.19578827862294024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976893417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956683,0.00027497884,0.00043199517,0.00022497807,0.000010353067,0.000013840188,0.00035069414,0.000008666182,0.0030161848],"genre_scores_gemma":[0.9985656,0.00020587498,0.00016811072,0.000043937027,0.000010644885,0.000008773379,0.00035272067,0.0000020938285,0.0006423361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859077,0.00072198996,0.00007573121,0.00017094341,0.00016750937,0.00027306494],"domain_scores_gemma":[0.9821493,0.013845954,0.0027430719,0.00037922012,0.0005203959,0.00036194688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022945243,0.00037141537,0.00040431708,0.00061827514,0.00018658087,0.0012365239,0.00033397152,0.0008580883,0.0029980026],"category_scores_gemma":[0.010065734,0.00022977122,0.00059147604,0.0011753903,0.0005161168,0.0008170654,0.00066644786,0.0007549026,0.00033057856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020129837,0.0013913542,0.8602634,0.0002658018,0.0011691683,0.0005622563,0.00022310083,0.09568345,0.004013367,0.0048530027,0.001087777,0.02847429],"study_design_scores_gemma":[0.000089135945,0.0025557175,0.94777846,0.000032471035,0.00054743583,0.000074491996,0.00083363295,0.03820635,0.0047366256,0.0027125548,0.0024019715,0.0000312573],"about_ca_topic_score_codex":0.008502157,"about_ca_topic_score_gemma":0.008569464,"teacher_disagreement_score":0.008502157,"about_ca_system_score_codex":0.0010531342,"about_ca_system_score_gemma":0.0006123582,"threshold_uncertainty_score":0.016905308},"labels":[],"label_agreement":null},{"id":"W1990162219","doi":"10.1080/10438590701581481","title":"THE USE OF INTELLECTUAL PROPERTY RIGHTS AND INNOVATION BY MANUFACTURING FIRMS IN CANADA","year":2008,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":65,"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 de Sherbrooke","funders":"Industry Canada","keywords":"Endogeneity; Logit; Intellectual property; Nexus (standard); Industrial organization; Economics; Principal (computer security); Business; Econometrics; Computer science","score_opus":0.09659539467894819,"score_gpt":0.19421647405526352,"score_spread":0.09762107937631533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990162219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814957,0.0026017972,0.00023896113,0.002116284,0.000012787466,0.000039237566,0.003294885,0.00001841699,0.010181976],"genre_scores_gemma":[0.99558395,0.0011985194,0.00014570243,0.000058372996,0.000004988069,0.000005629601,0.0007841152,0.000003190322,0.0022156294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834955,0.00010971605,0.00006806294,0.00013764495,0.0007383693,0.00059665897],"domain_scores_gemma":[0.99205184,0.0015385043,0.002597193,0.00017534607,0.0024054921,0.0012316776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010646102,0.00021506648,0.00033807915,0.0032623068,0.0019458652,0.002163139,0.0008225059,0.00047200333,0.0025825102],"category_scores_gemma":[0.0065274206,0.00017806524,0.00054084527,0.007646822,0.0012454131,0.0007200323,0.0010869794,0.0008158599,0.00013491645],"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":[0.000083078914,0.00006645191,0.95921934,0.0001076962,0.000073314506,0.00024072212,0.0025539906,0.001995233,0.00020915078,0.0051908656,0.0032652912,0.026994891],"study_design_scores_gemma":[0.000007240228,0.000019053681,0.9917408,0.000053832297,0.000023734248,0.00005894671,0.0019190131,0.0018124937,0.00016217837,0.00028799725,0.003889283,0.00002542455],"about_ca_topic_score_codex":0.9969342,"about_ca_topic_score_gemma":0.99777836,"teacher_disagreement_score":0.052745406,"about_ca_system_score_codex":0.052745406,"about_ca_system_score_gemma":0.054610096,"threshold_uncertainty_score":0.38269645},"labels":[],"label_agreement":null},{"id":"W1999247581","doi":"10.1080/10438591003696886","title":"Star scientists and their positions in the Canadian biotechnology network","year":2011,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":18,"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; Université du Québec à Montréal; Concordia University","funders":"","keywords":"Gatekeeping; Star (game theory); Neighbourhood (mathematics); Stars; Quality (philosophy); Network structure; Economic geography; Business; Economics; Computer science; Mathematics; Advertising","score_opus":0.10424501150406938,"score_gpt":0.20086207993087457,"score_spread":0.09661706842680519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999247581","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":[0.91089165,0.0013104277,0.0022877534,0.0028767947,0.00002269322,0.00003738063,0.0007672037,0.000027716158,0.08177835],"genre_scores_gemma":[0.995195,0.00047247813,0.00044910275,0.000037755504,0.0000054333536,0.000003134912,0.00011003612,0.0000029369726,0.0037240756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902856,0.00013297575,0.000028100849,0.000113676,0.00037256398,0.00032413867],"domain_scores_gemma":[0.99483645,0.0013433006,0.0010683291,0.000108356115,0.0014554632,0.0011880718],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0012096282,0.00015036397,0.00027177553,0.004560837,0.0042348215,0.003052942,0.00044566364,0.00055272726,0.005642706],"category_scores_gemma":[0.008665878,0.00015796829,0.00014611271,0.0068667824,0.002106978,0.001361824,0.0014226423,0.00037030168,0.00032280618],"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":[0.00052943587,0.000052434927,0.5834809,0.00022652687,0.00011405036,0.0009247939,0.022965742,0.012374143,0.0025270032,0.25353423,0.013253151,0.11001755],"study_design_scores_gemma":[0.00006407706,0.00007352302,0.8451111,0.00013062885,0.00013172635,0.00047709374,0.023582803,0.019325664,0.0013265931,0.04301737,0.06663332,0.00012613197],"about_ca_topic_score_codex":0.7023737,"about_ca_topic_score_gemma":0.8008898,"teacher_disagreement_score":0.9987904,"about_ca_system_score_codex":0.01711125,"about_ca_system_score_gemma":0.011399144,"threshold_uncertainty_score":0.59875816},"labels":[],"label_agreement":null},{"id":"W2015052388","doi":"10.1080/10438590903016492","title":"International R&D cooperation within the EU Framework Programme: empirical evidence for Spanish firms","year":2009,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":61,"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":"Centro para el Desarrollo Tecnológico Industrial; McGill University","keywords":"Absorptive capacity; Work (physics); Business; Process (computing); Industrial organization; Empirical evidence; Economics; Computer science","score_opus":0.18569928415521492,"score_gpt":0.3486790807615052,"score_spread":0.1629797966062903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015052388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799733,0.0033037825,0.00039030504,0.0007992036,0.000017139291,0.0000344209,0.00028732093,0.0000152505,0.015179091],"genre_scores_gemma":[0.9968868,0.0012716693,0.00013798871,0.00008060524,0.0000223269,0.00001626524,0.0005338525,0.0000049294968,0.0010456014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99392515,0.0020910215,0.00030850805,0.00091685815,0.0012637617,0.0014946893],"domain_scores_gemma":[0.9528122,0.023138843,0.012870504,0.0023710988,0.0048103007,0.0039969906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010369355,0.00032248875,0.0005583088,0.003171142,0.00068701454,0.0034369766,0.00077618315,0.001248148,0.0035921636],"category_scores_gemma":[0.020736402,0.00015754138,0.00038035528,0.007000142,0.0010815875,0.0012602186,0.0026905278,0.0007605655,0.0005945001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008601507,0.0009274601,0.9002066,0.00053496315,0.0002198793,0.0010978915,0.007602714,0.0034185064,0.0006716132,0.008177751,0.0049096923,0.07137275],"study_design_scores_gemma":[0.00011862466,0.0002295261,0.96537626,0.00024183306,0.00010634775,0.000281842,0.013137004,0.0020696372,0.0003348601,0.0009989007,0.017077953,0.00002720422],"about_ca_topic_score_codex":0.028559817,"about_ca_topic_score_gemma":0.017216317,"teacher_disagreement_score":0.028559817,"about_ca_system_score_codex":0.0016971655,"about_ca_system_score_gemma":0.003075576,"threshold_uncertainty_score":0.056787133},"labels":[],"label_agreement":null},{"id":"W2030964081","doi":"10.1080/1043859042000269098","title":"R&D and productivity growth: Evidence from the UK","year":2005,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":77,"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":"Elasticity (physics); Economics; Productivity; Econometrics; Total factor productivity; Macroeconomics","score_opus":0.06103295029448338,"score_gpt":0.2357263453218557,"score_spread":0.17469339502737233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030964081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92827964,0.03813118,0.0005347065,0.0038860536,0.00010806551,0.000025297282,0.006974294,0.000031786054,0.022028873],"genre_scores_gemma":[0.979224,0.015246168,0.000118865915,0.0004167673,0.000065329354,0.000011397386,0.0025975695,0.000007940723,0.0023117242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873346,0.00026524754,0.00020900265,0.00021789866,0.00034096383,0.00023344833],"domain_scores_gemma":[0.9861807,0.0051571634,0.0057435287,0.0006374682,0.0017145537,0.0005666651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008547666,0.00030501085,0.00043929945,0.0025083632,0.0002508149,0.0012498522,0.0003283294,0.0004791698,0.0047965483],"category_scores_gemma":[0.0083242925,0.00023204146,0.00046257116,0.0056823576,0.0004862626,0.00074961863,0.0012034213,0.00046362024,0.0010504833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073720695,0.00009573373,0.9155946,0.0012539098,0.0002742735,0.0021058258,0.0013781943,0.0014679683,0.00053328305,0.0021421898,0.009630794,0.06478593],"study_design_scores_gemma":[0.00003325846,0.0000723447,0.98779255,0.00038535058,0.00008464552,0.00027115,0.00050133746,0.00027600687,0.00023950842,0.0001365192,0.010192319,0.000015098988],"about_ca_topic_score_codex":0.112914234,"about_ca_topic_score_gemma":0.11492624,"teacher_disagreement_score":0.112914234,"about_ca_system_score_codex":0.0015934798,"about_ca_system_score_gemma":0.0009121582,"threshold_uncertainty_score":0.22451401},"labels":[],"label_agreement":null},{"id":"W2037266430","doi":"10.1080/1043859022000014092","title":"When does funding research by smaller firms bear fruit?: Evidence from the SBIR program*","year":2003,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":53,"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; Venture capital; Business; Government (linguistics); Exploit; Investment (military); Industrial organization; Capital (architecture); Principal (computer security); Finance; Economics; Market economy","score_opus":0.09664520476621667,"score_gpt":0.3062422743750258,"score_spread":0.20959706960880914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037266430","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":[0.8109509,0.013032228,0.00081211893,0.10146543,0.00029321964,0.00014944328,0.0010853418,0.000115043,0.07209627],"genre_scores_gemma":[0.97664076,0.004573299,0.00049678376,0.007989183,0.0005273092,0.000079811485,0.0005552604,0.000047240945,0.009090352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9848652,0.0065276134,0.0008098077,0.00094854605,0.0046168417,0.0022319753],"domain_scores_gemma":[0.6510191,0.18978137,0.082812466,0.015818205,0.0282486,0.032320376],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.028762054,0.00022138451,0.0006733564,0.0024999755,0.0021053446,0.006714795,0.0019011698,0.002558559,0.010798729],"category_scores_gemma":[0.12976015,0.00027977637,0.00036453447,0.005222459,0.0043442687,0.0049815653,0.0035286492,0.0025379767,0.0011772632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004052208,0.0013575954,0.46488097,0.001876561,0.000543344,0.0006074247,0.0134291705,0.0006317247,0.0028915696,0.06673319,0.068511315,0.3744849],"study_design_scores_gemma":[0.0008065056,0.0013603691,0.80129904,0.0012459982,0.00047812623,0.00038183454,0.013340642,0.00059470494,0.0023006583,0.019789917,0.15831776,0.0000843973],"about_ca_topic_score_codex":0.03819509,"about_ca_topic_score_gemma":0.06704209,"teacher_disagreement_score":0.97123796,"about_ca_system_score_codex":0.004421366,"about_ca_system_score_gemma":0.012555243,"threshold_uncertainty_score":0.1521101},"labels":[],"label_agreement":null},{"id":"W2049740908","doi":"10.1080/10438590600661939","title":"THE EFFECTS OF INNOVATION POLICIES ON BUSINESS R&D: A CROSS-NATIONAL EMPIRICAL STUDY","year":2007,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":25,"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":"University of Saskatchewan","keywords":"Openness to experience; Enforcement; Investment (military); Government (linguistics); Incentive; Economics; Business; International trade; International economics; Political science; Market economy","score_opus":0.06014447118388108,"score_gpt":0.3356801138651646,"score_spread":0.2755356426812835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049740908","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":[0.9934936,0.0011734447,0.00017598431,0.0001996367,0.000006781995,0.0000075239777,0.00048384638,0.000008196462,0.0044510895],"genre_scores_gemma":[0.9972492,0.0008495043,0.00018236777,0.00008552045,0.000013485374,0.000014529543,0.0008169821,0.0000047568237,0.0007837663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761355,0.0007600391,0.00018346222,0.00044856846,0.00047779336,0.0005164912],"domain_scores_gemma":[0.9690727,0.016898291,0.008997319,0.0016938085,0.0018926071,0.0014452839],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003215512,0.00021443827,0.0007432611,0.0021897398,0.0008163685,0.0017567605,0.0004953322,0.0005902169,0.003480337],"category_scores_gemma":[0.011383266,0.0002443467,0.0010982931,0.0037756232,0.0009454942,0.0014379354,0.0016630612,0.0010360596,0.0005489581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023241818,0.00042586948,0.97749925,0.00010191715,0.0006105409,0.00021550176,0.00038513142,0.0028744093,0.00044462888,0.0014900463,0.0006839778,0.015036316],"study_design_scores_gemma":[0.00000992907,0.00006747615,0.9960146,0.0000423336,0.00014416563,0.00010242469,0.0004970357,0.0005980636,0.00040764367,0.0001660408,0.001938717,0.000011667637],"about_ca_topic_score_codex":0.030883534,"about_ca_topic_score_gemma":0.042703014,"teacher_disagreement_score":0.9967845,"about_ca_system_score_codex":0.0015222591,"about_ca_system_score_gemma":0.0009939938,"threshold_uncertainty_score":0.061407506},"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":"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":"W2106914734","doi":"10.1080/10438590410001629007","title":"The sources of total factor productivity growth: Evidence from Canadian data","year":2003,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Productivity","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":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ceteris paribus; Productivity; Total factor productivity; Economics; Growth rate; Investment (military); Econometrics; Technological change; Macroeconomics; Microeconomics; Mathematics","score_opus":0.07022202249615776,"score_gpt":0.23195157626955087,"score_spread":0.1617295537733931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106914734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83566886,0.008665072,0.003600915,0.0033837464,0.000062030835,0.00010437644,0.12497549,0.0002667235,0.02327272],"genre_scores_gemma":[0.940982,0.006397968,0.0025107835,0.00014404539,0.00001967785,0.000041838844,0.04709347,0.0000663776,0.0027439266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747026,0.00018569377,0.0001538356,0.0003555692,0.0013138583,0.0005207931],"domain_scores_gemma":[0.9828751,0.0029437572,0.0025098748,0.00096834725,0.009986172,0.00071676425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029823,0.00088546355,0.00090657827,0.0070756245,0.0026772006,0.0034216244,0.0016453454,0.0005644078,0.0025548977],"category_scores_gemma":[0.017108452,0.0005440221,0.0009878583,0.02658105,0.0010037496,0.0012873122,0.0011462753,0.00090033555,0.00049957505],"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":[0.000503443,0.000094521725,0.8601503,0.00084351655,0.00059229805,0.00043799577,0.0030940578,0.020504287,0.0004976712,0.016657582,0.03286036,0.063763954],"study_design_scores_gemma":[0.00006681128,0.000025800231,0.94064605,0.00030175853,0.00025318915,0.00013454228,0.0021150801,0.016451705,0.00074208074,0.0026188164,0.03647224,0.00017187651],"about_ca_topic_score_codex":0.996923,"about_ca_topic_score_gemma":0.9968844,"teacher_disagreement_score":0.95225745,"about_ca_system_score_codex":0.04774257,"about_ca_system_score_gemma":0.04702825,"threshold_uncertainty_score":0.34639823},"labels":[],"label_agreement":null},{"id":"W2141101549","doi":"10.1080/1043859052000344705","title":"Who is not developing open source software? non-users, users, and developers","year":2005,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Open Source Software Innovations","field":"Computer Science","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":"University of Guelph","keywords":"Investment (military); Open source software; Business; Marketing; Open innovation; Knowledge management; Public relations; Software; Political science; Computer science","score_opus":0.029562440513263448,"score_gpt":0.2668513020664923,"score_spread":0.23728886155322887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141101549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69293296,0.01040719,0.0028594362,0.22209567,0.000782392,0.00002586201,0.000106534644,0.000031740936,0.070758194],"genre_scores_gemma":[0.9739958,0.0049053966,0.00040515864,0.012656421,0.00037405247,0.000020475605,0.00003299108,0.000017495868,0.007592202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962418,0.0016103829,0.0001600664,0.00045987393,0.00093054207,0.0005973848],"domain_scores_gemma":[0.973188,0.013842946,0.005188707,0.000687892,0.0023336413,0.004758878],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0045674574,0.00013274516,0.0004921741,0.001203071,0.002348413,0.0056680935,0.00061556516,0.0032942318,0.005491743],"category_scores_gemma":[0.02636312,0.00021073753,0.00023302517,0.0010568695,0.0043735057,0.008814287,0.0012028557,0.0018431742,0.0012816424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020359478,0.00036342803,0.5772537,0.0003374743,0.00014698587,0.0023252307,0.052821074,0.00022062521,0.0011781392,0.056320414,0.043857217,0.26497218],"study_design_scores_gemma":[0.000045763325,0.00027845587,0.39545575,0.0014295239,0.0002132116,0.0068523074,0.31090745,0.0020647233,0.001340001,0.09974968,0.1814083,0.00025488707],"about_ca_topic_score_codex":0.0074961707,"about_ca_topic_score_gemma":0.009968646,"teacher_disagreement_score":0.99938446,"about_ca_system_score_codex":0.001422731,"about_ca_system_score_gemma":0.0019233009,"threshold_uncertainty_score":0.024155319},"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":"W2471950283","doi":"10.1080/10438599.2016.1202523","title":"Employee relations and innovation: an empirical analysis using patent data","year":2016,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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 British Columbia","funders":"","keywords":"Incentive; Business; Loyalty; Corporate governance; Profit sharing; Industrial relations; Marketing; Industrial organization; Stock (firearms); Variety (cybernetics); Pension; Economics; Microeconomics; Finance; Management","score_opus":0.14393512643965017,"score_gpt":0.29295374478092007,"score_spread":0.1490186183412699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471950283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909252,0.0009049645,0.0007513783,0.00034380355,0.000010138239,0.00006194106,0.0042905645,0.000025983165,0.0026859818],"genre_scores_gemma":[0.99278086,0.0006426268,0.00052123365,0.000054288827,0.00007801652,0.000083684106,0.0046142885,0.000010976129,0.0012139619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99570256,0.001278873,0.0004688754,0.0005570248,0.0013048088,0.0006878968],"domain_scores_gemma":[0.8588428,0.10148692,0.028800657,0.0036026572,0.004292553,0.002974397],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0056722984,0.00028630378,0.00075124303,0.009234997,0.0010539041,0.0022976287,0.0011568998,0.0019535117,0.0071575413],"category_scores_gemma":[0.038660046,0.0002543307,0.00096383604,0.015812833,0.0007789967,0.0024747176,0.0013149757,0.0013393271,0.00204118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013740202,0.0005691502,0.9811445,0.00010417696,0.00017366593,0.0004151668,0.00039552638,0.0013867238,0.00013729959,0.00071959815,0.001462545,0.013354345],"study_design_scores_gemma":[0.000050331182,0.00036527708,0.9861129,0.00005571117,0.00018207992,0.00047655904,0.0009498546,0.0063453005,0.0003675335,0.0007411761,0.00432617,0.000027076208],"about_ca_topic_score_codex":0.012383096,"about_ca_topic_score_gemma":0.008474759,"teacher_disagreement_score":0.990765,"about_ca_system_score_codex":0.0010658675,"about_ca_system_score_gemma":0.0014089443,"threshold_uncertainty_score":0.029998302},"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":"W2883724786","doi":"10.1080/10438599.2018.1500105","title":"Measuring ‘indirect’ investments in ICT in OECD countries","year":2018,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"ICT Impact and Policies","field":"Engineering","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":"Agence Nationale de la Recherche","keywords":"Information and Communications Technology; Economics; Business; Political science","score_opus":0.02872613846309828,"score_gpt":0.23171828856375698,"score_spread":0.20299215010065869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883724786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94975376,0.0011224613,0.0011166988,0.00010162002,0.000017962162,0.000030779338,0.0075978907,0.000037076017,0.040221717],"genre_scores_gemma":[0.98649347,0.0016944857,0.0013241351,0.000033117394,0.000022518421,0.00009490035,0.008390307,0.000022058206,0.0019251422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987908,0.00031034785,0.00017031773,0.00011763535,0.0004288044,0.00018225593],"domain_scores_gemma":[0.9943487,0.0015165829,0.002374321,0.0004157185,0.0011779449,0.00016684823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010651367,0.00045513624,0.00024872617,0.005569571,0.00021578353,0.0017708121,0.00026898016,0.00026449747,0.0017423881],"category_scores_gemma":[0.005746717,0.0001765117,0.00038493116,0.009444151,0.00055720704,0.0008879919,0.0012517137,0.0003652225,0.000311698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013903699,0.000066023385,0.93556607,0.0003758487,0.00043832097,0.00044744904,0.00092301733,0.0120301815,0.0007633576,0.008538767,0.0026501203,0.038061872],"study_design_scores_gemma":[0.000008453016,0.000059717506,0.97581,0.00014313427,0.00013463722,0.00026140985,0.0013670268,0.0013917714,0.0021147833,0.0012222145,0.017466743,0.000020052039],"about_ca_topic_score_codex":0.00929645,"about_ca_topic_score_gemma":0.0068244366,"teacher_disagreement_score":0.00929645,"about_ca_system_score_codex":0.0014545601,"about_ca_system_score_gemma":0.00055831176,"threshold_uncertainty_score":0.018484652},"labels":[],"label_agreement":null},{"id":"W3041134500","doi":"10.1080/10438599.2020.1786999","title":"Exploring innovation and export interplay in Canadian firms","year":2020,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Global trade and economics","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":true,"ca_institutions":"HEC Montréal; Université du Québec à Montréal; Saint Mary's University","funders":"Canada Research Chairs; Saint Mary’s University","keywords":"Industrial organization; Business; Key (lock); Economics","score_opus":0.1431811077457681,"score_gpt":0.23445117315363392,"score_spread":0.09127006540786584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041134500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898573,0.00058052485,0.0004725376,0.00074926595,0.000003787315,0.000011015953,0.000909958,0.000013897939,0.0074016354],"genre_scores_gemma":[0.9961777,0.00037702196,0.0004286478,0.000052885196,0.0000032302971,0.0000058524706,0.00044071864,0.0000043944815,0.0025096342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999265,0.00010400158,0.000026203317,0.00009918648,0.00016499824,0.00034063618],"domain_scores_gemma":[0.9962759,0.0013090285,0.00080258516,0.00014481245,0.0010810454,0.00038663804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014712785,0.00029493577,0.0003765693,0.0025229694,0.0015499973,0.0017605351,0.0005063878,0.0004094232,0.0026918293],"category_scores_gemma":[0.0062035406,0.00016232216,0.00059757085,0.0048295683,0.00097329845,0.00082860165,0.0012968613,0.00066484325,0.000115683695],"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":[0.00016064326,0.00006979486,0.92954415,0.000108580425,0.0001571745,0.00032139762,0.003793449,0.013257387,0.00095398,0.020887204,0.0015915101,0.029154826],"study_design_scores_gemma":[0.0000122274905,0.00003279688,0.9785069,0.00004395778,0.0000947396,0.000039508257,0.003134795,0.009796721,0.0004387174,0.0019294512,0.0059302477,0.00003998243],"about_ca_topic_score_codex":0.9847467,"about_ca_topic_score_gemma":0.9883223,"teacher_disagreement_score":0.025585659,"about_ca_system_score_codex":0.025585659,"about_ca_system_score_gemma":0.030580996,"threshold_uncertainty_score":0.18563783},"labels":[],"label_agreement":null},{"id":"W3107208697","doi":"10.1080/10438599.2020.1841942","title":"Open innovation knowledge management in transition to market economy: integrating dynamic capability and institutional theory","year":2020,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Economic Growth and Development","field":"Computer Science","cited_by":43,"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; University of Ottawa","funders":"","keywords":"Robustness (evolution); Profitability index; Industrial organization; Dynamic capabilities; Business; Productivity; Open innovation; Survey data collection; Empirical evidence; Economics; Knowledge management; Marketing; Computer science; Economic growth","score_opus":0.01870737684554995,"score_gpt":0.24687875757088007,"score_spread":0.2281713807253301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107208697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8921756,0.0016112466,0.04635529,0.0047480767,0.000035564044,0.00012329516,0.0003975423,0.00007246158,0.054480918],"genre_scores_gemma":[0.9984439,0.00016818085,0.0009731036,0.000031546886,0.00000860021,0.000013199097,0.000044213826,0.0000018746206,0.00031536372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994062,0.00017376359,0.000040498668,0.00012437797,0.00010702324,0.00014818502],"domain_scores_gemma":[0.9949661,0.002615832,0.0013181,0.00030017272,0.00038822254,0.00041159528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011393082,0.00016383061,0.00032250935,0.0021978805,0.0006515575,0.0035511744,0.0005831556,0.0006242944,0.0028108747],"category_scores_gemma":[0.006407654,0.00011382829,0.0003828729,0.0021052223,0.002092708,0.004990171,0.0021483062,0.0008182376,0.00016682496],"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":[0.000108571294,0.00047236023,0.24783212,0.00038778057,0.0001633145,0.001075415,0.0040951837,0.039690964,0.00056265993,0.61449355,0.0021725204,0.088945575],"study_design_scores_gemma":[0.00006588546,0.00023126705,0.18263295,0.0003828588,0.00018543017,0.00045791708,0.012834286,0.14705332,0.0011990542,0.6347303,0.020147182,0.00007957633],"about_ca_topic_score_codex":0.011781151,"about_ca_topic_score_gemma":0.008250962,"teacher_disagreement_score":0.011781151,"about_ca_system_score_codex":0.0029371728,"about_ca_system_score_gemma":0.0021335718,"threshold_uncertainty_score":0.023425162},"labels":[],"label_agreement":null},{"id":"W3121142645","doi":"10.1080/10438599.2016.1204779","title":"Impact of organizational innovation on product and process innovation","year":2016,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":64,"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":"Endogeneity; Product innovation; Innovation management; Product (mathematics); Industrial organization; New product development; Process (computing); Business; Government (linguistics); Innovation process; Marketing; Economics; Econometrics; Work in process; Computer science; Mathematics","score_opus":0.03146271923498505,"score_gpt":0.26608767297172814,"score_spread":0.23462495373674308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121142645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96454275,0.0012854878,0.0062558088,0.000922251,0.00009701664,0.00018179104,0.0004834082,0.000053512824,0.026177943],"genre_scores_gemma":[0.9963636,0.0003234902,0.0013573116,0.000112760725,0.000054446667,0.00007918945,0.00015710165,0.000009001474,0.0015432059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97751117,0.0101020485,0.0011018036,0.0019382037,0.006234938,0.0031118565],"domain_scores_gemma":[0.76919764,0.18051995,0.030229557,0.009104607,0.0067222854,0.00422597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014817128,0.00052155525,0.0008723543,0.001892161,0.0005756162,0.0022712713,0.0006542927,0.0011336235,0.009125353],"category_scores_gemma":[0.057187006,0.00020995154,0.0022456432,0.0019829792,0.0020303628,0.0017287007,0.0026710683,0.0021366512,0.00055237836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013098364,0.0016971538,0.8772873,0.0006094937,0.0013806358,0.00023761281,0.0005816844,0.014983394,0.0026030135,0.02432088,0.0007238154,0.074265234],"study_design_scores_gemma":[0.00010546798,0.0020805693,0.97034633,0.0001225393,0.00076466874,0.000115839444,0.0005512089,0.0069987564,0.004469671,0.009139558,0.005260413,0.000045094956],"about_ca_topic_score_codex":0.0037086424,"about_ca_topic_score_gemma":0.0032401385,"teacher_disagreement_score":0.014817128,"about_ca_system_score_codex":0.002428302,"about_ca_system_score_gemma":0.0033835308,"threshold_uncertainty_score":0.07836145},"labels":[],"label_agreement":null},{"id":"W3121370331","doi":"10.1080/10438590303127","title":"Econometric analysis of price index for home video cassette recorders in the U.S., 1978-1987","year":2003,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","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 British Columbia","funders":"Northwestern University; Walt Disney Company","keywords":"Hedonic index; Econometrics; Price index; Economics; Index (typography); Quality (philosophy); Estimation; Econometric analysis; Computer science","score_opus":0.028005160017994357,"score_gpt":0.24790325117743164,"score_spread":0.2198980911594373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121370331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99066997,0.00025614302,0.00051676325,0.00014661382,0.000006778287,0.00001773964,0.0046997187,0.000024722167,0.0036616335],"genre_scores_gemma":[0.9872939,0.00028761095,0.00043837976,0.000026100148,0.000023606317,0.00001314506,0.007915085,0.000006777308,0.0039952807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978274,0.000044218086,0.000017962451,0.00003231352,0.00008721921,0.000035468445],"domain_scores_gemma":[0.9969566,0.0015765976,0.0008025539,0.000079355385,0.0005054968,0.00007939035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006254266,0.00016411814,0.00018402482,0.0013057012,0.00017477083,0.00056679547,0.00024419438,0.000218338,0.0033495608],"category_scores_gemma":[0.0039831456,0.00014841303,0.00024849246,0.0019733347,0.00018873661,0.00039920435,0.0001802946,0.00035980693,0.0008796661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029760035,0.00016973469,0.9550885,0.000057468635,0.000074582946,0.00028101524,0.00025221895,0.0060152593,0.0007095593,0.0014597946,0.0049156984,0.030678613],"study_design_scores_gemma":[0.0000072153525,0.00006473289,0.9909931,0.000006141967,0.000029412104,0.00005458693,0.00032008134,0.00657538,0.0005126581,0.0001271549,0.00130369,0.0000057362117],"about_ca_topic_score_codex":0.062042333,"about_ca_topic_score_gemma":0.07907651,"teacher_disagreement_score":0.062042333,"about_ca_system_score_codex":0.0015645631,"about_ca_system_score_gemma":0.00043194168,"threshold_uncertainty_score":0.12336242},"labels":[],"label_agreement":null},{"id":"W3124233246","doi":"10.1080/10438590600925144","title":"THE EFFECTS OF TECHNOLOGICAL CHANGE ON THE QUALITY AND VARIETY OF INFORMATION PRODUCTS†","year":2007,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":4,"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 Guelph","keywords":"Variety (cybernetics); Technological change; Production (economics); Quality (philosophy); Product (mathematics); Comparative statics; Industrial organization; Economics; Business; Product differentiation; Consumer demand; Microeconomics; Marketing; Commerce; Computer science","score_opus":0.04010121944818102,"score_gpt":0.26011780154357983,"score_spread":0.22001658209539882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124233246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9293183,0.004293312,0.0031725217,0.0014431537,0.00004619248,0.000049681043,0.00024945854,0.000020553263,0.061406754],"genre_scores_gemma":[0.99722314,0.00095965166,0.0005782362,0.00009178642,0.000033641918,0.0000069853704,0.000048429294,0.0000046243363,0.0010535666],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985038,0.00063626055,0.0000640222,0.00022575395,0.00040324367,0.00016694749],"domain_scores_gemma":[0.9736442,0.018201115,0.0047096475,0.0012989772,0.0014824192,0.000663626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015538416,0.00017381225,0.00015550134,0.0011867721,0.00034455562,0.0018876069,0.00029915108,0.0008125327,0.006745917],"category_scores_gemma":[0.015511751,0.00016424933,0.0004721867,0.0011526808,0.0015033302,0.0017561001,0.00065663655,0.00058130216,0.00055342814],"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":[0.0026688392,0.0012069528,0.550094,0.0010530739,0.0005947335,0.0012949023,0.0020638518,0.017728593,0.049463883,0.100759014,0.0025427414,0.27052945],"study_design_scores_gemma":[0.00005882244,0.0010384432,0.93930805,0.00008251567,0.00018359386,0.00079045433,0.0009500852,0.0042087925,0.009285333,0.031264745,0.012772278,0.000056864857],"about_ca_topic_score_codex":0.0015030446,"about_ca_topic_score_gemma":0.0015313668,"teacher_disagreement_score":0.006745917,"about_ca_system_score_codex":0.0011303712,"about_ca_system_score_gemma":0.00020947865,"threshold_uncertainty_score":0.022567272},"labels":[],"label_agreement":null},{"id":"W3124895593","doi":"10.1080/10438599.2012.708134","title":"Evidence on the impact of R&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":"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":"W4401827953","doi":"10.1080/10438599.2024.2392133","title":"Influence of educational composition on firm innovation and performance","year":2024,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","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":"Western University","funders":"","keywords":"Composition (language); Industrial organization; Business; Economics; Microeconomics; Econometrics","score_opus":0.015141027577172972,"score_gpt":0.23721125802868467,"score_spread":0.2220702304515117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401827953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944983,0.00027628845,0.00029810582,0.0002482818,0.0000065072877,0.00001041526,0.00006987305,0.000007537637,0.0045846556],"genre_scores_gemma":[0.99934846,0.000043455995,0.00005075228,0.000013501833,0.000008976978,0.0000019118559,0.000027992326,0.0000012503056,0.0005036928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818265,0.0007406559,0.000088721274,0.0001651734,0.00031780737,0.0005049183],"domain_scores_gemma":[0.97510785,0.013438858,0.0057309084,0.0007792812,0.0010401664,0.003902905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027862103,0.00016983337,0.00023100791,0.0010619861,0.00038462578,0.0014886176,0.00026735125,0.00041261793,0.0045887968],"category_scores_gemma":[0.014372692,0.00007668973,0.00028742707,0.00076330244,0.0006094382,0.0006654429,0.0011384088,0.00052037963,0.00054868136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030158716,0.0003263856,0.9684475,0.000028620369,0.000110300374,0.00014640475,0.000291242,0.0023336653,0.00075348956,0.0011225736,0.00024142046,0.02589684],"study_design_scores_gemma":[0.000009967207,0.00014660554,0.9965238,0.000019073004,0.00002980714,0.00003673698,0.0003026812,0.0012624442,0.00046373732,0.00064969726,0.00054971443,0.0000057614247],"about_ca_topic_score_codex":0.0030814018,"about_ca_topic_score_gemma":0.0041378434,"teacher_disagreement_score":0.0045887968,"about_ca_system_score_codex":0.00069582835,"about_ca_system_score_gemma":0.0007272963,"threshold_uncertainty_score":0.015350997},"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":"W4415387026","doi":"10.1080/10438599.2025.2571618","title":"Building a scientific community? The WOEPS workshop and the evolution of the economics of science, 1994–2023","year":2025,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","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":"Canadian Institute for Advanced Research","funders":"European Commission","keywords":"Applied economics; Field (mathematics); Economic methodology; Schools of economic thought; Science communication; Heterodox economics; Process (computing); Hard and soft science; Business economics; Behavioral economics","score_opus":0.020820832259575504,"score_gpt":0.22520834930571093,"score_spread":0.20438751704613542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415387026","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":[0.54472333,0.018305155,0.0069506117,0.34543,0.0034276266,0.00009499407,0.00047659478,0.00009399989,0.0804977],"genre_scores_gemma":[0.97726405,0.0051981695,0.002333152,0.004491313,0.001185895,0.00007863611,0.00016600433,0.000043118962,0.009239737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9953284,0.0021137022,0.00021872792,0.0005182914,0.0010592814,0.0007616116],"domain_scores_gemma":[0.96108586,0.024157278,0.0044273,0.0015460658,0.0038764402,0.004906967],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.018092088,0.0002950716,0.00033678245,0.003433547,0.003387564,0.0067868233,0.0011689021,0.0033388406,0.003921849],"category_scores_gemma":[0.06093528,0.0003264853,0.0004799931,0.0043320283,0.0058167907,0.008803067,0.0060616946,0.002845521,0.0004688297],"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":[0.0010278802,0.00029286215,0.026468216,0.00066639646,0.00018584596,0.0016779755,0.04386849,0.0039031631,0.0017047883,0.613853,0.10499231,0.20135914],"study_design_scores_gemma":[0.00016281498,0.00023804577,0.0780217,0.001005293,0.00007582858,0.0006621741,0.037630275,0.0036287142,0.0020968865,0.23710303,0.63915557,0.00021967795],"about_ca_topic_score_codex":0.007174572,"about_ca_topic_score_gemma":0.0051303837,"teacher_disagreement_score":0.9966124,"about_ca_system_score_codex":0.0071403887,"about_ca_system_score_gemma":0.005853203,"threshold_uncertainty_score":0.09568119},"labels":[],"label_agreement":null},{"id":"W4416908164","doi":"10.1080/10438599.2025.2593953","title":"Disentangling neutral, directional, and complementarity effects of technological change: evidence from 32 OECD countries, 1994–2019","year":2025,"lang":"en","type":"article","venue":"Economics of Innovation and New Technology","topic":"Energy, Environment, Economic 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":"Complementarity (molecular biology); Technological change; General equilibrium theory; Empirical evidence","score_opus":0.03949900359204714,"score_gpt":0.2471479015061389,"score_spread":0.20764889791409177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416908164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767066,0.0057059987,0.0010017215,0.0006786893,0.000024383824,0.000017593436,0.0040508034,0.000025403693,0.01178891],"genre_scores_gemma":[0.9928746,0.0028050817,0.00035780534,0.00010370937,0.00002336457,0.000012607822,0.0033880046,0.000008449756,0.00042627784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989427,0.00030308997,0.00011074276,0.00016409792,0.00028542458,0.00019400347],"domain_scores_gemma":[0.99262273,0.003141857,0.0023890652,0.0006291095,0.0010617519,0.00015544497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026114874,0.00039925936,0.000409652,0.004017091,0.00041432778,0.0012114523,0.00025097132,0.00032489488,0.0009180824],"category_scores_gemma":[0.0063950494,0.00014530217,0.00074087374,0.008344529,0.0010121246,0.0011013178,0.0013840556,0.0004496233,0.00025783625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032595522,0.000038427483,0.9487758,0.00031119064,0.00049078424,0.000666166,0.0009435895,0.004663586,0.0003454546,0.0044275597,0.00199376,0.03701761],"study_design_scores_gemma":[0.000017263535,0.000050586084,0.9827172,0.00010196697,0.00029778082,0.0001676003,0.0017636503,0.00080518686,0.00074959424,0.0010562045,0.012250516,0.00002236954],"about_ca_topic_score_codex":0.0513711,"about_ca_topic_score_gemma":0.048703164,"teacher_disagreement_score":0.0513711,"about_ca_system_score_codex":0.0011965027,"about_ca_system_score_gemma":0.0008932626,"threshold_uncertainty_score":0.10214418},"labels":[],"label_agreement":null}]}