{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1145,"total_is_capped":false,"direct_labels_cover":3,"predictions_cover":1145,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5a645d359bd8","filters":{"topic":"Firm Innovation and Growth"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Corporate finance; Business; Economics; Financial economics; Financial system; Monetary economics; Finance","authors":[{"name":"Chongyu Dang","is_ca":true},{"name":"Zhichuan Li","is_ca":true},{"name":"Chen Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1443470337760693,"gpt":0.2728613618733194,"spread":0.1285143280972501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005221426,0.000318725,0.0003258493,0.002789714,0.0003518679,0.00141484,0.0005611791,0.0007534275,0.001120304],"category_scores_gemma":[0.0457401,0.0002899789,0.0003279021,0.002868671,0.0006671472,0.002334796,0.0009513951,0.0005776814,0.0003068884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664115,"about_ca_system_score_gemma":0.0005567773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010618,"about_ca_topic_score_gemma":0.006818932,"domain_scores_codex":[0.9964681,0.002014183,0.0002648252,0.0002187986,0.0007639117,0.0002702699],"domain_scores_gemma":[0.9214048,0.06059617,0.009054818,0.003520444,0.00392988,0.001493939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006528827,0.0001321959,0.9660768,0.00003166536,0.00007736119,0.00005181189,0.0001909615,0.003460272,0.001087919,0.002039638,0.000609957,0.02617627],"study_design_scores_gemma":[0.00001930093,0.0002019676,0.9567828,0.00005085613,0.00006160714,0.0001245892,0.0006262896,0.03065223,0.0033555,0.006422658,0.001678787,0.00002339147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9902367,0.0003550717,0.005103729,0.0002036384,0.00001958408,0.00002350646,0.0002387149,0.00003797157,0.003780958],"genre_scores_gemma":[0.997962,0.00005675065,0.001519763,0.0000253854,0.00002233698,0.00001207842,0.0001290844,0.000004659506,0.0002679177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005221426,"threshold_uncertainty_score":0.02761388,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Gustavo Grullon","is_ca":false},{"name":"Yelena Larkin","is_ca":true},{"name":"Roni Michaely","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06420849712975969,"gpt":0.2460336215085294,"spread":0.1818251243787697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007435516,0.0001199222,0.00027608,0.002860108,0.0003262451,0.002085636,0.0003143993,0.0007429312,0.005250123],"category_scores_gemma":[0.003536806,0.0001035455,0.0002148582,0.00541766,0.0009294491,0.001234913,0.0008202349,0.000423705,0.0005228653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008404379,"about_ca_system_score_gemma":0.0006299161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009669572,"about_ca_topic_score_gemma":0.01135375,"domain_scores_codex":[0.9992808,0.0001400914,0.00005046144,0.0001374766,0.0002058156,0.0001853418],"domain_scores_gemma":[0.9943042,0.0006654412,0.00326889,0.0001361525,0.0009445911,0.0006805882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001738488,0.0001005112,0.8449855,0.0004500848,0.0001986421,0.000970151,0.001982923,0.001015419,0.002064151,0.01256099,0.01843314,0.1170647],"study_design_scores_gemma":[0.000007952101,0.00004531841,0.9784272,0.0001748145,0.00003178633,0.0004840854,0.002271257,0.0002369312,0.0004172319,0.001989801,0.01590563,0.000007981268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515154,0.01430262,0.000361141,0.01103135,0.00008530059,0.00001247459,0.0008470149,0.00002346288,0.02182135],"genre_scores_gemma":[0.9926602,0.004961727,0.00008853791,0.0007890305,0.000222359,0.000004188575,0.0003607965,0.000003800623,0.0009094357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009669572,"threshold_uncertainty_score":0.01922655,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Labour economics; Unemployment; Economics; Business cycle; Unemployment rate; Job creation; Macro; Macroeconomics; Geography","authors":[{"name":"Steven J. Davis","is_ca":false},{"name":"R. Jason Faberman","is_ca":false},{"name":"John Haltiwanger","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0286404716597823,"gpt":0.2310213533933878,"spread":0.2023808817336055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009322049,0.0005335542,0.0007029236,0.009423061,0.0008185086,0.003900023,0.001466379,0.0008040943,0.008530607],"category_scores_gemma":[0.02699881,0.0006421232,0.0006695215,0.02011514,0.0007599178,0.006195444,0.003122416,0.00222274,0.002166861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746139,"about_ca_system_score_gemma":0.002034084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771221,"about_ca_topic_score_gemma":0.01249947,"domain_scores_codex":[0.9930215,0.003290893,0.0009012641,0.0008687692,0.001721585,0.0001960859],"domain_scores_gemma":[0.9784733,0.01092638,0.003122828,0.004129566,0.002698228,0.000649674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003532583,0.0005721293,0.2893825,0.001000311,0.0003641002,0.0002236581,0.002394414,0.009988361,0.0008534535,0.1645494,0.1023943,0.4279242],"study_design_scores_gemma":[0.0002266844,0.0003265821,0.2681864,0.0009981673,0.0002877716,0.0003547972,0.00266431,0.04783492,0.001719015,0.1640945,0.5130155,0.0002912865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1527737,0.008388185,0.4081474,0.01893079,0.001188059,0.00191187,0.3570531,0.002330729,0.0492762],"genre_scores_gemma":[0.4174815,0.008632682,0.3550386,0.002557527,0.002077678,0.006755912,0.1933559,0.0007788,0.01332145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771221,"threshold_uncertainty_score":0.04930031,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jasjit Singh","is_ca":false},{"name":"Ajay Agrawal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07717169772441164,"gpt":0.2668083183123731,"spread":0.1896366205879614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002522305,0.0002085315,0.000379762,0.001882451,0.0008456248,0.00244168,0.0007618974,0.0009803912,0.004463186],"category_scores_gemma":[0.01145432,0.0002087762,0.0005364793,0.001837328,0.001002543,0.002963364,0.001557848,0.0004878813,0.000553811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456198,"about_ca_system_score_gemma":0.0006397247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111715,"about_ca_topic_score_gemma":0.005472595,"domain_scores_codex":[0.9992149,0.0002196763,0.00005301625,0.0001537134,0.0001473386,0.0002113785],"domain_scores_gemma":[0.9909065,0.005200082,0.002594667,0.0005038807,0.0002480319,0.000546878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406701,0.0004943639,0.8064392,0.0001907736,0.000167894,0.0006169235,0.007511687,0.002964704,0.004040689,0.01405791,0.00093314,0.162342],"study_design_scores_gemma":[0.00004081212,0.0004390403,0.9658005,0.0000851173,0.0001720498,0.0004967607,0.007329115,0.007161971,0.001486294,0.01199334,0.004947053,0.00004808544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911481,0.0003999336,0.001364956,0.0002803373,0.000004203881,0.00002423937,0.00003534407,0.00001131372,0.006731632],"genre_scores_gemma":[0.9978172,0.0002827985,0.0004258772,0.00003786925,0.000008645599,0.000009976357,0.00003246718,0.000001677302,0.001383498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004463186,"threshold_uncertainty_score":0.0149309,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jay Dixon","is_ca":true},{"name":"Bryan Hong","is_ca":false},{"name":"Lynn Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0391030247853634,"gpt":0.2467256727181525,"spread":0.2076226479327891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012795,0.0001515201,0.0001720156,0.0006041877,0.0007372715,0.001486309,0.0003225229,0.0009668045,0.006197273],"category_scores_gemma":[0.006093269,0.00009662794,0.000238529,0.0007536016,0.001760508,0.001099927,0.001096218,0.0007620295,0.0004191771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642731,"about_ca_system_score_gemma":0.000567253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004319025,"about_ca_topic_score_gemma":0.006979619,"domain_scores_codex":[0.999433,0.0002185082,0.00001764969,0.00006103912,0.00009708467,0.0001727458],"domain_scores_gemma":[0.9940984,0.002117096,0.002425432,0.0002482189,0.0003672218,0.0007435869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001153924,0.00115232,0.7623306,0.000216512,0.0001058531,0.00199957,0.002623044,0.01935581,0.002324399,0.06170306,0.02183336,0.1252016],"study_design_scores_gemma":[0.00007513648,0.0005043792,0.9439113,0.0001224946,0.00003824242,0.0003059419,0.006384344,0.006001461,0.0006202408,0.02676226,0.01523049,0.00004369563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684155,0.002101722,0.0005758444,0.01212048,0.0000504917,0.00001189484,0.0001621954,0.00003141712,0.01653043],"genre_scores_gemma":[0.9983923,0.0005167613,0.00005716179,0.0002284344,0.00003978357,0.000003711016,0.0000386941,0.000002090959,0.0007211147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006197273,"threshold_uncertainty_score":0.02073193,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Rasmus Lentz","is_ca":false},{"name":"Dale T. Mortensen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1482846756506713,"gpt":0.2848216258298651,"spread":0.1365369501791938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001872667,0.0007246869,0.001015043,0.001710469,0.00064685,0.002865778,0.002400021,0.002986755,0.01543941],"category_scores_gemma":[0.005930895,0.0005578913,0.001418776,0.00256067,0.001438557,0.004415099,0.001236037,0.0015804,0.003434513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202944,"about_ca_system_score_gemma":0.001284661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043936,"about_ca_topic_score_gemma":0.005088697,"domain_scores_codex":[0.9992266,0.000202912,0.00003570699,0.0002535125,0.000148196,0.0001330845],"domain_scores_gemma":[0.9979123,0.001197614,0.0003555194,0.0001861336,0.0002305947,0.0001178303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009802786,0.0001493048,0.005717729,0.0001522623,0.00007209711,0.0003377249,0.0003912064,0.3113687,0.0008211318,0.6509111,0.003860304,0.02612051],"study_design_scores_gemma":[0.0001551364,0.0001298554,0.003549067,0.00006340235,0.00006293955,0.0003387214,0.0001646817,0.6488425,0.0003471544,0.3279859,0.0183163,0.00004436052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3443676,0.003607922,0.5189669,0.01076213,0.0001831099,0.0004345753,0.00511604,0.001027079,0.1155347],"genre_scores_gemma":[0.8860293,0.003305249,0.03393107,0.000359953,0.0001550603,0.0004407432,0.001868301,0.00009679553,0.07381355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543941,"threshold_uncertainty_score":0.05164999,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Revenue; Business; Work (physics); Quarter (Canadian coin); Small business; Marketing; Empirical research; Economics; Finance","authors":[{"name":"Joseph Barbara","is_ca":false},{"name":"H S Sandy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0188956827924536,"gpt":0.1848124290164485,"spread":0.1659167462239949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001867194,0.0002178306,0.0001831993,0.0008668507,0.0006421743,0.001480804,0.0006157036,0.0006775796,0.006259444],"category_scores_gemma":[0.01265572,0.00009571583,0.0002529397,0.001195599,0.0008532355,0.0008429202,0.000925507,0.001003472,0.0009202417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365211,"about_ca_system_score_gemma":0.001084696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00885368,"about_ca_topic_score_gemma":0.01082612,"domain_scores_codex":[0.9990159,0.0002780681,0.00007927609,0.00008913506,0.0003174348,0.0002201255],"domain_scores_gemma":[0.9824363,0.005909998,0.005806017,0.0005988752,0.001211171,0.004037586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006132067,0.0004910501,0.9832708,0.00002076685,0.0000530584,0.000102919,0.0003130629,0.0002923304,0.0001209198,0.0003154205,0.001478611,0.01347962],"study_design_scores_gemma":[0.000003669765,0.00009005771,0.9980259,0.00001352212,0.000008616201,0.00005864388,0.0003212799,0.0003934848,0.00003665321,0.0002240984,0.000819587,0.000004541635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864755,0.0007655927,0.0001656994,0.001164555,0.00003449005,0.00002424231,0.0003250993,0.00001795734,0.01102688],"genre_scores_gemma":[0.9977623,0.0002584601,0.0001152536,0.0001184282,0.00004152265,0.00001562101,0.0003804457,0.000005537545,0.001302287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00885368,"threshold_uncertainty_score":0.02093995,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Gongming Qian","is_ca":false},{"name":"Lee Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04150749817029691,"gpt":0.2322984676416347,"spread":0.1907909694713378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006282039,0.00009946249,0.0001982027,0.0007960162,0.0007163771,0.00168481,0.0002601696,0.0005887348,0.002416053],"category_scores_gemma":[0.001888345,0.0000593912,0.0002114799,0.0007891114,0.000713879,0.0006986477,0.0008680344,0.0005983667,0.0003389922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466839,"about_ca_system_score_gemma":0.0007462561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00808828,"about_ca_topic_score_gemma":0.01030986,"domain_scores_codex":[0.9997053,0.00007402895,0.00001100808,0.00002820429,0.0000789096,0.000102675],"domain_scores_gemma":[0.996411,0.001596471,0.0007085337,0.00005870202,0.0004105188,0.0008147214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005614777,0.000486149,0.9334802,0.00009803445,0.00007004529,0.00508308,0.002010055,0.01117923,0.004546888,0.0127473,0.002469907,0.02726755],"study_design_scores_gemma":[0.00003500969,0.0002666705,0.9582484,0.00004983041,0.00005401637,0.001123195,0.0091976,0.01747847,0.002130181,0.00832824,0.003054141,0.00003428895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995953,0.0001859205,0.000133587,0.0003089271,0.000002032742,0.000003706824,0.00002564692,0.000002673686,0.003384554],"genre_scores_gemma":[0.9996843,0.00004574479,0.00002228998,0.00001049799,0.000002508478,7.061555e-7,0.00001835276,2.599536e-7,0.0002153272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00808828,"threshold_uncertainty_score":0.01608241,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Johannes Van Biesebroeck","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0418167696022962,"gpt":0.2111816797368015,"spread":0.1693649101345053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120225,0.000316544,0.0003881636,0.001109902,0.0003696543,0.001326437,0.0005321185,0.001297314,0.01109129],"category_scores_gemma":[0.01027769,0.0002596564,0.0006650273,0.002080928,0.0009201146,0.001475899,0.001106583,0.00192779,0.001222507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006200845,"about_ca_system_score_gemma":0.001139831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786587,"about_ca_topic_score_gemma":0.01522851,"domain_scores_codex":[0.999411,0.0001556904,0.00003860053,0.00008910459,0.00007453535,0.0002310865],"domain_scores_gemma":[0.9833388,0.009046935,0.005034578,0.0003122041,0.0004835924,0.001783876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003259853,0.0001224447,0.9803492,0.00006986468,0.0001539218,0.0007649392,0.0005395521,0.002455151,0.0006100352,0.00244782,0.002686451,0.009474727],"study_design_scores_gemma":[0.00001878436,0.00008392875,0.992633,0.0000610901,0.00008700334,0.0002068984,0.0009200784,0.003116724,0.0003853216,0.00114421,0.001332505,0.00001043598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913488,0.001372979,0.0002164338,0.002975396,0.0000530093,0.000007278148,0.0008044683,0.00002809887,0.00319357],"genre_scores_gemma":[0.9974438,0.0004717919,0.00003106832,0.00008843453,0.00005640934,0.000004403518,0.0002947683,0.000005807812,0.001603648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786587,"threshold_uncertainty_score":0.03710407,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Bronwyn H. Hall","is_ca":false},{"name":"Francesca Lotti","is_ca":false},{"name":"Jacques Mairesse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1180478152290953,"gpt":0.2910443305959414,"spread":0.1729965153668461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003227784,0.0003840295,0.0004673403,0.003845559,0.0003678086,0.00206488,0.0005680583,0.00100915,0.004813703],"category_scores_gemma":[0.02346868,0.0002521391,0.001195223,0.006210608,0.0011703,0.0009622363,0.001707248,0.0007646614,0.0009836325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497847,"about_ca_system_score_gemma":0.0009261298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954567,"about_ca_topic_score_gemma":0.01875454,"domain_scores_codex":[0.9972523,0.0008477346,0.0001766464,0.0003753523,0.0006863187,0.0006616112],"domain_scores_gemma":[0.9305536,0.04023695,0.02245484,0.003014161,0.001884013,0.001856524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116295,0.00005935487,0.9799264,0.0001255644,0.0001938817,0.000175565,0.0002291456,0.001370212,0.0002717105,0.001646324,0.0005282408,0.01536196],"study_design_scores_gemma":[0.000005110763,0.00002894039,0.9978549,0.00003575816,0.00008244687,0.00006961148,0.00009037263,0.0004119065,0.0001217921,0.0002718116,0.001022129,0.000005140836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667136,0.008537458,0.0008081804,0.002288601,0.00001750842,0.00001218183,0.001171593,0.00003231242,0.02041853],"genre_scores_gemma":[0.9959834,0.00193984,0.0001166962,0.0001352909,0.00006377344,0.000006493653,0.0007495889,0.000004143084,0.001000861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954567,"threshold_uncertainty_score":0.03886384,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Simon C. Parker","is_ca":true},{"name":"David Storey","is_ca":false},{"name":"A. van Witteloostuijn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02723015926695348,"gpt":0.2184091284003075,"spread":0.191178969133354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001575702,0.0001548335,0.0004330484,0.001638078,0.002062607,0.003373009,0.0006160737,0.000967809,0.005481593],"category_scores_gemma":[0.01551233,0.0001391434,0.0002337259,0.002325992,0.003339614,0.004425636,0.001603394,0.001036607,0.0007572662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373463,"about_ca_system_score_gemma":0.0009384562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04465685,"about_ca_topic_score_gemma":0.0659114,"domain_scores_codex":[0.998247,0.0004874864,0.00008708425,0.0004564089,0.0003382456,0.0003838371],"domain_scores_gemma":[0.9904515,0.004224983,0.002881536,0.0008693702,0.0008598475,0.0007128709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003210859,0.0001393621,0.7315071,0.0004055369,0.0001097807,0.002143288,0.05636603,0.0008515563,0.003315934,0.06258574,0.01275238,0.1295022],"study_design_scores_gemma":[0.00002002597,0.0001420368,0.8061212,0.0002507541,0.00003603464,0.001066401,0.06006679,0.0009735056,0.0007311797,0.03689807,0.09360722,0.00008670499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339579,0.002762359,0.001988346,0.006187854,0.00007469702,0.00003494401,0.0005139247,0.0000424854,0.05443757],"genre_scores_gemma":[0.9950272,0.0005823349,0.0003337658,0.0002250559,0.00003632519,0.00001014882,0.0001585951,0.00001171216,0.003614867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04465685,"threshold_uncertainty_score":0.08879381,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jianmin Tang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1935230023796627,"gpt":0.4008011513731819,"spread":0.2072781489935192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00392594,0.000130209,0.0003867146,0.00129254,0.0005386398,0.003689273,0.0003254426,0.00225248,0.0111444],"category_scores_gemma":[0.0197511,0.0001560142,0.0003069598,0.00138269,0.001581025,0.002016091,0.0006949738,0.001221584,0.001131117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738273,"about_ca_system_score_gemma":0.0007641442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462262,"about_ca_topic_score_gemma":0.002914518,"domain_scores_codex":[0.9978733,0.001372084,0.00007225099,0.0001615783,0.0002402196,0.0002806414],"domain_scores_gemma":[0.959798,0.03247199,0.003033691,0.0008826457,0.001490051,0.002323606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009291329,0.00128341,0.2883916,0.000281939,0.0003807895,0.0005384234,0.003312432,0.0125532,0.002983002,0.6202037,0.006906096,0.06223633],"study_design_scores_gemma":[0.0001572408,0.0003642879,0.3520579,0.0001701523,0.0001808822,0.0006858376,0.004303295,0.02591299,0.001027989,0.5897713,0.02529507,0.0000731327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652456,0.002995294,0.004308208,0.01079553,0.00004790453,0.00003084445,0.0002155518,0.00002438847,0.1163367],"genre_scores_gemma":[0.9951782,0.0003618473,0.0002314699,0.0002250988,0.0000337315,0.000005832097,0.00004366542,0.000005610289,0.003914565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111444,"threshold_uncertainty_score":0.03728175,"prediction_status":"machine_predicted_unvalidated"},"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":"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University at Buffalo","keywords":"Business; Revenue; Marketing; Product (mathematics); Biotechnology; Industrial organization; Sample (material); Accounting","authors":[{"name":"Linda A. Hall","is_ca":false},{"name":"Sharmistha Bagchi‐Sen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07420986278259646,"gpt":0.2279576252348178,"spread":0.1537477624522213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001748129,0.0004072861,0.0004309856,0.002999988,0.003544718,0.002370495,0.001115255,0.001042039,0.00288343],"category_scores_gemma":[0.007414495,0.0001868265,0.0006977976,0.007864959,0.001677507,0.0009045705,0.0008115608,0.001145442,0.0002039891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05107534,"about_ca_system_score_gemma":0.04899179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9878641,"about_ca_topic_score_gemma":0.9918847,"domain_scores_codex":[0.9990694,0.0001446962,0.00002579074,0.000073504,0.000300318,0.0003862719],"domain_scores_gemma":[0.9939102,0.002597107,0.0008612261,0.0001096767,0.001431938,0.001089786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005945347,0.0006486098,0.878608,0.000243318,0.0002533594,0.00080661,0.004608368,0.01076655,0.001319265,0.02682094,0.005945803,0.06938467],"study_design_scores_gemma":[0.00002527759,0.00009914326,0.9812419,0.00005800584,0.0001030205,0.00009052183,0.00321928,0.006329479,0.000334733,0.001413599,0.007050305,0.00003471958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849271,0.003029745,0.0002722553,0.001660116,0.00001199705,0.00002866609,0.0005519447,0.00001749406,0.009500641],"genre_scores_gemma":[0.9954948,0.001102341,0.0001692317,0.0001151877,0.0000140703,0.000006419081,0.0002796157,0.00000418045,0.002814133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9489247,"threshold_uncertainty_score":0.3705792,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Anming Zhang","is_ca":true},{"name":"Yimin Zhang","is_ca":false},{"name":"Ronald Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06677939361964665,"gpt":0.2781768229568923,"spread":0.2113974293372456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304996,0.0003638652,0.000440735,0.004464091,0.0009542188,0.00137181,0.0006508504,0.0004936325,0.002282445],"category_scores_gemma":[0.003571383,0.0002959729,0.0007804567,0.006107077,0.001051788,0.001224469,0.000585179,0.0003631173,0.0001762272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003955522,"about_ca_system_score_gemma":0.003156265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08585159,"about_ca_topic_score_gemma":0.05559099,"domain_scores_codex":[0.9994942,0.00008964432,0.00005058817,0.0001071428,0.0001067896,0.0001515732],"domain_scores_gemma":[0.9954465,0.002705208,0.0007639244,0.0002160798,0.0004816401,0.0003865784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884199,0.0001535747,0.9695237,0.0001032107,0.000249637,0.0007603831,0.002208895,0.003023661,0.002180991,0.004939638,0.0003653642,0.01630258],"study_design_scores_gemma":[0.00001071933,0.00006886409,0.9952024,0.000009628951,0.0000952541,0.00009514135,0.0005746079,0.002429539,0.0004149528,0.0004602435,0.0006257154,0.00001294709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978489,0.0004656311,0.0001107922,0.00007121455,0.000001744902,0.000005330792,0.000103049,0.000002881825,0.001390474],"genre_scores_gemma":[0.9992568,0.0001969364,0.00005622572,0.00001379793,0.000006078206,0.000002457551,0.0001320562,0.000001072045,0.0003344935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08585159,"threshold_uncertainty_score":0.1707037,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Nabil Amara","is_ca":true},{"name":"Réjean Landry","is_ca":true},{"name":"Nizar Becheikh","is_ca":true},{"name":"Mathieu Ouimet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02818110457415022,"gpt":0.2191790104780996,"spread":0.1909979059039494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005444269,0.0001947301,0.0008171896,0.001790104,0.0006000174,0.003282897,0.0009166988,0.002206787,0.002999321],"category_scores_gemma":[0.0378972,0.0002009457,0.0007884319,0.001444363,0.002673999,0.004194475,0.002160128,0.001351419,0.0002315226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297944,"about_ca_system_score_gemma":0.0006228624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028836,"about_ca_topic_score_gemma":0.002690837,"domain_scores_codex":[0.9984081,0.0006996347,0.0001552186,0.0002265449,0.000228644,0.0002818507],"domain_scores_gemma":[0.8815917,0.09769043,0.01236789,0.002464474,0.002156561,0.003728994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002033806,0.000999439,0.8693988,0.0002566551,0.000354256,0.001441426,0.002767245,0.0255207,0.002274245,0.03967091,0.0005690986,0.05471353],"study_design_scores_gemma":[0.0002187602,0.001366375,0.8200701,0.0001208329,0.0002807646,0.001175679,0.004037962,0.04846093,0.001672716,0.121061,0.001405389,0.0001294751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962466,0.0005007787,0.001077662,0.0003017475,0.000007487041,0.00000687793,0.00003457001,0.000009771222,0.001814387],"genre_scores_gemma":[0.9994253,0.00009718053,0.0001086753,0.00001301445,0.00002547602,0.000002858112,0.00002268355,0.000001526903,0.0003031847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005444269,"threshold_uncertainty_score":0.02879244,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Tom Cottrell","is_ca":true},{"name":"Barrie R. Nault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04474238150759884,"gpt":0.2292096866015036,"spread":0.1844673050939048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178337,0.0002571067,0.0004701331,0.003413509,0.0005563168,0.001599661,0.0003699548,0.0005132243,0.004583735],"category_scores_gemma":[0.0116238,0.0001598782,0.0003912419,0.002235659,0.001093376,0.001739164,0.001587287,0.0007754978,0.0004584503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009173794,"about_ca_system_score_gemma":0.0003200129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800873,"about_ca_topic_score_gemma":0.003620913,"domain_scores_codex":[0.9992428,0.0001911606,0.00004902837,0.0001488078,0.0001763027,0.0001919143],"domain_scores_gemma":[0.9674534,0.01738914,0.00966897,0.001069444,0.001646653,0.002772374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000403935,0.0001582913,0.9642668,0.00005116475,0.0001427131,0.0002904359,0.0005101388,0.01198549,0.0007187308,0.002852746,0.0004924661,0.01812709],"study_design_scores_gemma":[0.00002876549,0.0003056467,0.9846578,0.00002736254,0.00004710878,0.0001601967,0.0008520912,0.009085125,0.0005229299,0.003170484,0.001118379,0.00002412262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971362,0.0004373373,0.0002882822,0.00008737812,0.000001801629,0.00000823415,0.0001652544,0.000008102512,0.00186736],"genre_scores_gemma":[0.9993966,0.00007344951,0.00006227227,0.000005235039,0.000004029588,0.000003766244,0.0001547484,0.000001133715,0.0002986932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004583735,"threshold_uncertainty_score":0.01533413,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Technological change; Political science; Regional science; Management; Business; Sociology; Economics","authors":[{"name":"Kyoo-Ho Park","is_ca":false},{"name":"Keun Lee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4568100044828003,"gpt":0.265711009615561,"spread":0.1910989948672393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340608,0.0002237651,0.0003605445,0.006037381,0.0003722001,0.00122835,0.0003845007,0.0004267759,0.001453368],"category_scores_gemma":[0.007726993,0.000129208,0.0007596333,0.006859804,0.0003498676,0.001449023,0.001005749,0.000428275,0.0003504894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005512023,"about_ca_system_score_gemma":0.0004407523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688063,"about_ca_topic_score_gemma":0.01197029,"domain_scores_codex":[0.9991956,0.0001107511,0.0001695948,0.0001472207,0.0002150812,0.0001617039],"domain_scores_gemma":[0.9848893,0.005709009,0.006648858,0.0009268029,0.001403645,0.0004224957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006446888,0.00004120236,0.9875304,0.00004232055,0.0001081168,0.0005884938,0.0003580104,0.001010017,0.0008530202,0.0003450524,0.0001833328,0.008875706],"study_design_scores_gemma":[0.000004039487,0.00007179964,0.9938248,0.00001625969,0.00006860029,0.0002518486,0.0009426008,0.00293088,0.0006671921,0.0001315848,0.0010773,0.00001306453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986557,0.0001464426,0.0001513574,0.00001617632,9.980546e-7,0.000005476104,0.0005257849,0.00000426684,0.0004938418],"genre_scores_gemma":[0.9977901,0.0001140521,0.0001984537,0.000004755125,0.000003467738,0.000007914993,0.001630192,0.000002249178,0.0002487864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01688063,"threshold_uncertainty_score":0.03356475,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Stephen Roper","is_ca":false},{"name":"Nola Hewitt‐Dundas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6756483836744561,"gpt":0.4639262424223971,"spread":0.211722141252059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004281988,0.0003515963,0.0008608929,0.003126752,0.0005845329,0.002510084,0.001130392,0.001617673,0.005259413],"category_scores_gemma":[0.0177579,0.0004612724,0.0008350469,0.008154702,0.000594376,0.002094831,0.001447266,0.001152177,0.001725462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006684934,"about_ca_system_score_gemma":0.0008976426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02808299,"about_ca_topic_score_gemma":0.02933831,"domain_scores_codex":[0.9979817,0.0006089346,0.0002483214,0.0004389595,0.0004207806,0.0003012772],"domain_scores_gemma":[0.94271,0.02714251,0.02240981,0.003379427,0.002183355,0.002174991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006614513,0.0005605466,0.971865,0.0001392196,0.001351113,0.0002122719,0.0002965218,0.005639555,0.0003181606,0.001616238,0.005543307,0.01179663],"study_design_scores_gemma":[0.0001102335,0.0001664332,0.9877014,0.00005946585,0.0006118069,0.0001095352,0.0004713362,0.003590111,0.0006909349,0.001750984,0.004702346,0.00003556324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755473,0.001439097,0.0008892149,0.0006342889,0.0000292747,0.00002521847,0.01910329,0.00003186682,0.002300438],"genre_scores_gemma":[0.9694321,0.001131882,0.0004117408,0.0001348901,0.00006944503,0.00003252403,0.02667992,0.00001005509,0.002097553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9968733,"threshold_uncertainty_score":0.05583906,"prediction_status":"machine_predicted_unvalidated"},"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":"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Magnus Lofstrom","is_ca":false},{"name":"Timothy Bates","is_ca":false},{"name":"Simon C. Parker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02931192852052778,"gpt":0.2078956726544353,"spread":0.1785837441339075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985726,0.0001136838,0.0004564066,0.0007434024,0.0009400388,0.001923364,0.0005424796,0.001271797,0.009385308],"category_scores_gemma":[0.009101221,0.0002556367,0.0004483643,0.0009698545,0.0008978804,0.00236358,0.000888636,0.001786899,0.0009313364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502683,"about_ca_system_score_gemma":0.000596382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009392329,"about_ca_topic_score_gemma":0.01390828,"domain_scores_codex":[0.9991556,0.0001772476,0.00006328865,0.0001323622,0.0001218152,0.0003496068],"domain_scores_gemma":[0.9891143,0.003314467,0.003477414,0.000287779,0.0007949196,0.003011029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001851598,0.0002347525,0.9856938,0.0000498129,0.0001019884,0.0002920466,0.00294685,0.0000316611,0.0002281981,0.0005718246,0.00109386,0.008570072],"study_design_scores_gemma":[0.00003212026,0.0001338806,0.9755299,0.000107152,0.0001043989,0.000618758,0.01980065,0.0002149251,0.0001663063,0.001769405,0.001500212,0.00002233449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953765,0.0004859821,0.00008083096,0.002238914,0.00002947882,0.000008329201,0.0001338037,0.000002446687,0.0016438],"genre_scores_gemma":[0.9987676,0.0001442094,0.0000313633,0.0004338798,0.00002321142,0.000004618654,0.00005016795,0.000002644052,0.0005423339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009392329,"threshold_uncertainty_score":0.03139704,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Matthias Kehrig","is_ca":false},{"name":"Nicolas Vincent","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03598567071663252,"gpt":0.2401187731371922,"spread":0.2041331024205597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002670476,0.00005815191,0.00011378,0.0008342134,0.0002522493,0.0006835678,0.0002142031,0.0002078833,0.00470393],"category_scores_gemma":[0.001878109,0.00007997521,0.00008108254,0.001114514,0.000438045,0.0004401749,0.0004790456,0.000430755,0.0007343527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005458036,"about_ca_system_score_gemma":0.0001913069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007267968,"about_ca_topic_score_gemma":0.009151121,"domain_scores_codex":[0.9998203,0.00002435776,0.000008811318,0.0000428313,0.00004648593,0.00005725211],"domain_scores_gemma":[0.9985703,0.0003656452,0.0005836326,0.0001085548,0.0002313452,0.0001405008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001685211,0.00007847803,0.9130149,0.00005872601,0.00003519747,0.0002905409,0.002191612,0.001596814,0.004364126,0.01774533,0.007070673,0.0533851],"study_design_scores_gemma":[0.000001801637,0.00002608679,0.9896894,0.00001091888,0.00000324385,0.00004789586,0.0008965376,0.0006916624,0.0005622797,0.002413549,0.005651033,0.000005634872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975063,0.0005699716,0.001210805,0.001967356,0.00002024143,0.00001074516,0.002151721,0.00004778252,0.01895845],"genre_scores_gemma":[0.9982489,0.00009240976,0.0001068155,0.00007784058,0.00001822371,0.000006016438,0.0003458488,0.000004672341,0.001099302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007267968,"threshold_uncertainty_score":0.01573622,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Thomas B. Åstebro","is_ca":true},{"name":"Irwin Bernhardt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03252160174312672,"gpt":0.2014134760797801,"spread":0.1688918743366534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001750143,0.0001453698,0.0002748053,0.0007677214,0.0004020603,0.001015585,0.0003686355,0.0008682726,0.008609433],"category_scores_gemma":[0.01038421,0.0001182924,0.0002975502,0.000754176,0.0005707341,0.000844916,0.0005402865,0.0008604382,0.0006078876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003359575,"about_ca_system_score_gemma":0.0004277299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112655,"about_ca_topic_score_gemma":0.004366532,"domain_scores_codex":[0.9996798,0.00009819721,0.00002699234,0.00002922531,0.00003663641,0.0001290979],"domain_scores_gemma":[0.9634221,0.01879897,0.01071007,0.000765677,0.0009586008,0.005344459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002037987,0.0001199932,0.9957735,0.000005584756,0.00002744515,0.000160732,0.00008225481,0.0002570839,0.0001030692,0.0002326721,0.0002012851,0.00283253],"study_design_scores_gemma":[0.00002638107,0.0002027774,0.9957223,0.00002011867,0.0000578623,0.0004160273,0.0005143644,0.001227439,0.0001833552,0.0011618,0.0004601508,0.000007497759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987187,0.0002551147,0.000085534,0.0001441383,0.00000403257,0.000003642859,0.0001357626,0.000002004394,0.0006509566],"genre_scores_gemma":[0.9990506,0.00009021546,0.00002333269,0.00001298405,0.00001667351,0.000002053867,0.0001304875,0.000001319158,0.0006723166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008609433,"threshold_uncertainty_score":0.02880144,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Leverage (statistics); Economics; Monetary economics; Financial economics","authors":[{"name":"Kim P. Huynh","is_ca":false},{"name":"Robert J. Petrunia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005356035666422842,"gpt":0.1852415935228788,"spread":0.179885557856456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612118,0.0002420509,0.0003016505,0.0007673567,0.0002778929,0.001451452,0.0002479864,0.001077244,0.006337624],"category_scores_gemma":[0.008193221,0.0001688978,0.0003316623,0.0008636173,0.0006527537,0.001552464,0.000646256,0.0009719413,0.0004775047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829439,"about_ca_system_score_gemma":0.0003023692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180624,"about_ca_topic_score_gemma":0.00623968,"domain_scores_codex":[0.9997451,0.00008580917,0.00002203108,0.00003368167,0.00003312592,0.00008025618],"domain_scores_gemma":[0.9838439,0.009911503,0.003858594,0.000519023,0.0003194769,0.001547496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004008525,0.0002151586,0.9754279,0.00002656087,0.0001909534,0.0004129349,0.0002720002,0.002431515,0.0004061983,0.005465469,0.0008852616,0.01386513],"study_design_scores_gemma":[0.00003572083,0.0002017314,0.9785508,0.00002933684,0.0002477652,0.0003607126,0.0004037994,0.005257053,0.0003416542,0.01271336,0.001838137,0.00001990905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907808,0.00362896,0.0007421096,0.0009120233,0.00002867221,0.000006107559,0.0002148714,0.00001219417,0.00367432],"genre_scores_gemma":[0.9979542,0.0006058317,0.00004132487,0.00003246371,0.0000567078,0.00000153455,0.00005695739,0.000001986844,0.001248871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006337624,"threshold_uncertainty_score":0.02120143,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Industrial organization; Competitive advantage; Dynamic capabilities; Software; Resource (disambiguation); Business; Function (biology); Marketing; Computer science","authors":[{"name":"Shanling Li","is_ca":true},{"name":"Jennifer Shang","is_ca":false},{"name":"Sandra A. Slaughter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07509571344400447,"gpt":0.3044475520322402,"spread":0.2293518385882358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469834,0.0002104161,0.0002546641,0.001902502,0.0005855165,0.001464249,0.0005557641,0.0007968036,0.001130461],"category_scores_gemma":[0.012175,0.0001309085,0.0003350405,0.001869111,0.001099642,0.001565371,0.001090021,0.001047841,0.0002417723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358774,"about_ca_system_score_gemma":0.001450007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03852758,"about_ca_topic_score_gemma":0.04502627,"domain_scores_codex":[0.999171,0.0001000597,0.00007140792,0.0001543331,0.0002432582,0.0002599087],"domain_scores_gemma":[0.987061,0.003706963,0.006094512,0.0002786844,0.001571388,0.001287394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008895421,0.00007821999,0.9699193,0.00003551301,0.00006029312,0.0003096435,0.001622802,0.002619141,0.0001765425,0.001252479,0.00182726,0.02200977],"study_design_scores_gemma":[0.000008528601,0.0001151548,0.9889113,0.00004990705,0.00004639798,0.0001376672,0.00353539,0.002670326,0.0003047778,0.001081291,0.00311343,0.00002581969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952477,0.0008711267,0.0002855471,0.001277145,0.000009825429,0.000008191629,0.0004867291,0.00001224667,0.001801573],"genre_scores_gemma":[0.9989165,0.0002474826,0.00005784813,0.00006423211,0.00001048159,0.00000484393,0.0003604391,0.000001690594,0.000336459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03852758,"threshold_uncertainty_score":0.07660663,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Product (mathematics); Product innovation; Subsidy; Industrial organization; Economics; Economic geography; Business; Market economy","authors":[{"name":"Pierre Mohnen","is_ca":false},{"name":"A.H. Kleinknecht","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1536772046434037,"gpt":0.2457735374427054,"spread":0.09209633279930168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01907477,0.0008398879,0.001788637,0.005397231,0.0005981278,0.002476023,0.002042551,0.001470032,0.02351414],"category_scores_gemma":[0.07284465,0.0005953274,0.003264325,0.01185484,0.001277243,0.001582129,0.001565592,0.001745929,0.005388752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111232,"about_ca_system_score_gemma":0.001171209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011271,"about_ca_topic_score_gemma":0.007917499,"domain_scores_codex":[0.9823219,0.01313731,0.0007200142,0.00146921,0.001482034,0.0008694953],"domain_scores_gemma":[0.8781602,0.102908,0.01022871,0.005927627,0.001988138,0.000787235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001461806,0.0006098382,0.7124216,0.001681782,0.003137593,0.0009220897,0.001632366,0.05660702,0.0002699874,0.01916844,0.04823364,0.1538539],"study_design_scores_gemma":[0.0004532749,0.001677852,0.7668915,0.0006917542,0.000939486,0.001032175,0.005324269,0.1373267,0.0006235642,0.01812297,0.06671394,0.0002025681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7594313,0.01108762,0.0774201,0.002350283,0.0004254729,0.001484238,0.1249267,0.002104394,0.02076987],"genre_scores_gemma":[0.9454932,0.001674531,0.01117285,0.0001835176,0.0001840025,0.001262265,0.02864251,0.0001558395,0.01123112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02351414,"threshold_uncertainty_score":0.1008782,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Management; Agricultural economics; Library science; History; Operations management; Economics; Economic growth; Computer science","authors":[{"name":"John R. Baldwin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1507620508304885,"gpt":0.1964407943451534,"spread":0.04567874351466489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007112222,0.0001600009,0.0002344065,0.002703452,0.001357324,0.001198042,0.0006067068,0.0004181112,0.001915201],"category_scores_gemma":[0.003571946,0.0001392673,0.0003880134,0.003296174,0.0006143323,0.0003462701,0.0005855162,0.0006479245,0.000192583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03142537,"about_ca_system_score_gemma":0.01460753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803225,"about_ca_topic_score_gemma":0.9869906,"domain_scores_codex":[0.999359,0.0000244255,0.00001575483,0.00005214476,0.0002565887,0.0002921503],"domain_scores_gemma":[0.9974725,0.0002682517,0.0007032831,0.0000724823,0.0009523191,0.0005310457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001514245,0.00003324769,0.9655524,0.00005702297,0.00005051088,0.0003833851,0.00149305,0.00399262,0.0005619057,0.001992777,0.003046491,0.02268516],"study_design_scores_gemma":[0.000004284464,0.00001057539,0.9937165,0.00002256627,0.00001303618,0.00006251912,0.0007938465,0.002623994,0.0001491729,0.0001152744,0.002479153,0.000009139152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914294,0.001271969,0.0001704824,0.00064609,0.00001024294,0.000008476161,0.001640721,0.00001748383,0.004804977],"genre_scores_gemma":[0.9975588,0.0004503471,0.00006111192,0.00002576806,0.0000057824,0.00000206615,0.0006805357,0.000002272076,0.001213241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03142537,"threshold_uncertainty_score":0.2280081,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Cash flow; Economics; Investment (military); Tobin's q; Monetary economics; Econometrics; Revenue; Microeconomics; Finance","authors":[{"name":"Andrew B. Abel","is_ca":false},{"name":"Janice Eberly","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1517398594474161,"gpt":0.2994704882772712,"spread":0.1477306288298551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511911,0.0006891319,0.0006919255,0.0008274624,0.0003705982,0.001721118,0.0007695067,0.001403461,0.007387088],"category_scores_gemma":[0.009314363,0.0005106415,0.0009821736,0.00132227,0.001333183,0.002481211,0.0008256732,0.00121775,0.0006484533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497219,"about_ca_system_score_gemma":0.001072297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00635789,"about_ca_topic_score_gemma":0.002582182,"domain_scores_codex":[0.9995756,0.0001577028,0.00002127715,0.00009690638,0.0000578671,0.00009057113],"domain_scores_gemma":[0.9970213,0.002019673,0.000610247,0.0001471319,0.0001364316,0.00006531631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005106247,0.00007649691,0.007662505,0.0002443744,0.00006043208,0.0005535074,0.0002621372,0.1753536,0.001701986,0.7760552,0.004056185,0.03392251],"study_design_scores_gemma":[0.00007061615,0.0001123163,0.01030281,0.0002228074,0.00009717188,0.0003822271,0.00015749,0.2917901,0.00130008,0.6839943,0.01149226,0.00007784582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1775835,0.009452024,0.6981321,0.01553495,0.000252658,0.0002704766,0.001015798,0.0005932453,0.09716523],"genre_scores_gemma":[0.9676381,0.004384283,0.0174448,0.0006777467,0.00009689196,0.0001124569,0.0001249201,0.00004253396,0.009478228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007387088,"threshold_uncertainty_score":0.02471232,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Market liquidity; Finance; Business; Economics; TRACE (psycholinguistics); Labour economics; Macroeconomics","authors":[{"name":"Efraim Benmelech","is_ca":true},{"name":"Nittai Bergman","is_ca":false},{"name":"Amit Seru","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03987256656746158,"gpt":0.2288443830698751,"spread":0.1889718165024135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362469,0.0003648646,0.0003038389,0.00168519,0.000940575,0.002847017,0.0007944211,0.001935256,0.1738149],"category_scores_gemma":[0.00360676,0.0001954299,0.0003581223,0.001323621,0.000707401,0.001347632,0.001998956,0.001078688,0.03555517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057061,"about_ca_system_score_gemma":0.003840498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004886068,"about_ca_topic_score_gemma":0.00454283,"domain_scores_codex":[0.9990618,0.0002159643,0.00004561013,0.0001321173,0.00023192,0.0003126562],"domain_scores_gemma":[0.9979875,0.0003496818,0.0003331332,0.0003715916,0.0004297158,0.0005284002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000627134,0.00008603444,0.004422967,0.0002697431,0.00001765097,0.0001450159,0.0003310873,0.0005117215,0.0004807526,0.5634669,0.2563471,0.1738583],"study_design_scores_gemma":[0.00003373869,0.00004189376,0.003111676,0.0002633267,0.000004987261,0.00009851727,0.0001618386,0.0002118468,0.000176076,0.02304906,0.9728395,0.000007606282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01712392,0.01058109,0.005250747,0.03011793,0.001737083,0.0003120692,0.006896135,0.000378737,0.9276023],"genre_scores_gemma":[0.2433086,0.0113192,0.003409372,0.00472484,0.002684172,0.0005615305,0.007508857,0.0001029999,0.7263804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1738149,"threshold_uncertainty_score":0.5814687,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Markus Poschke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01167240531415579,"gpt":0.2575114449112024,"spread":0.2458390395970466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505906,0.0001371285,0.0003306901,0.001088149,0.0003026051,0.001522891,0.0003216934,0.0007078059,0.004403952],"category_scores_gemma":[0.0122438,0.00018378,0.0004007549,0.001427984,0.001248231,0.001091296,0.001049578,0.0006242135,0.0004022664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008527719,"about_ca_system_score_gemma":0.0002675101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669206,"about_ca_topic_score_gemma":0.003025272,"domain_scores_codex":[0.9995772,0.0001091647,0.00004028213,0.0001392466,0.00005268647,0.0000814598],"domain_scores_gemma":[0.9839687,0.006073234,0.008053973,0.0009220277,0.0004611326,0.000520933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000225976,0.00008930134,0.8727055,0.00009256692,0.0002380286,0.000744093,0.0008856588,0.04154172,0.001609156,0.04239355,0.004130729,0.03534365],"study_design_scores_gemma":[0.00007214738,0.0001673776,0.8505744,0.00008081163,0.0001561303,0.0009330729,0.001341665,0.05746163,0.001164411,0.08281555,0.00516664,0.00006617662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889457,0.0006007002,0.004454157,0.001105199,0.00001565796,0.0000147136,0.00038576,0.00004310127,0.004435072],"genre_scores_gemma":[0.9988826,0.000179823,0.0002061681,0.00003993295,0.00001086271,0.000003628023,0.0001225218,0.000003705971,0.0005508708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004403952,"threshold_uncertainty_score":0.01473266,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Meric S. Gertler","is_ca":true},{"name":"David A. Wolfe","is_ca":true},{"name":"David Garkut","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02659210285407446,"gpt":0.2671869272511553,"spread":0.2405948243970809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001820166,0.0001156678,0.0002669618,0.001092113,0.00295907,0.005285341,0.0007354183,0.0005861251,0.001977194],"category_scores_gemma":[0.005115962,0.0001513233,0.000205877,0.001089689,0.01202875,0.004227956,0.003858547,0.0007025302,0.0001537681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006453285,"about_ca_system_score_gemma":0.00564818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1504595,"about_ca_topic_score_gemma":0.2368395,"domain_scores_codex":[0.9982595,0.0007206235,0.00005889533,0.0002356285,0.0003198777,0.0004054971],"domain_scores_gemma":[0.9965894,0.001214314,0.0008269823,0.0003968504,0.0003235077,0.000648943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001458802,0.00008138683,0.2079554,0.0002313755,0.00009522374,0.001558168,0.5180575,0.001945654,0.003404524,0.192894,0.000907634,0.07272337],"study_design_scores_gemma":[0.00002087851,0.0001330263,0.4491814,0.0005030248,0.0001090386,0.001062737,0.4295736,0.002151892,0.0009602674,0.05570703,0.06050234,0.00009474851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643303,0.0008580133,0.001450333,0.002556248,0.000008317752,0.000007582179,0.00002942789,0.000006966583,0.03075291],"genre_scores_gemma":[0.9991762,0.0001644209,0.0001382509,0.00003314223,0.000002786163,0.000001221358,0.000004130681,0.000002282434,0.0004776925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1504595,"threshold_uncertainty_score":0.2991675,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Sorting; Human capital; Open innovation; Marketing; Economics; Market economy; Computer science","authors":[{"name":"Daron Acemoğlu","is_ca":false},{"name":"Ufuk Akcigit","is_ca":false},{"name":"Murat Alp Celik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01223857274826628,"gpt":0.2139564619014731,"spread":0.2017178891532068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00329392,0.0002631171,0.0005316673,0.001306726,0.0007261148,0.003217175,0.0007915821,0.001881868,0.01193535],"category_scores_gemma":[0.01779133,0.0002263608,0.0005521073,0.001164536,0.002520054,0.003507421,0.001734174,0.001060774,0.0009337202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009954623,"about_ca_system_score_gemma":0.0009517985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193383,"about_ca_topic_score_gemma":0.0026306,"domain_scores_codex":[0.9984183,0.0005698858,0.00007242225,0.0002795122,0.0002013989,0.0004585506],"domain_scores_gemma":[0.9638931,0.02187606,0.00894573,0.0008707976,0.0006828297,0.00373151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005256475,0.0004081163,0.8154509,0.0003056102,0.0002144965,0.0008680863,0.00238613,0.01230171,0.001785066,0.09841929,0.001785178,0.06554984],"study_design_scores_gemma":[0.0002147974,0.001074569,0.7380692,0.0003071961,0.0003569615,0.001170486,0.008241113,0.03306414,0.001646472,0.2001552,0.01556348,0.0001363527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736983,0.002473323,0.005852357,0.003448165,0.00003412419,0.00006384681,0.0001998356,0.00001837547,0.01421177],"genre_scores_gemma":[0.9964319,0.0005110364,0.0005003211,0.0001193125,0.00004641843,0.00001917118,0.00004294739,0.00000223886,0.002326544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193535,"threshold_uncertainty_score":0.03992772,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Annetta Fortune","is_ca":false},{"name":"Will Mitchell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1461193519655798,"gpt":0.2410305049388096,"spread":0.0949111529732298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003746,0.0002472534,0.0006225719,0.001668187,0.000605651,0.002968371,0.0004228294,0.0006012482,0.004448954],"category_scores_gemma":[0.0112718,0.0001697222,0.0006598441,0.001252842,0.002224171,0.002807976,0.003172316,0.001205013,0.000216763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007600815,"about_ca_system_score_gemma":0.0004300401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364099,"about_ca_topic_score_gemma":0.002382598,"domain_scores_codex":[0.998858,0.0004463398,0.00007772475,0.0002169676,0.0001618896,0.0002389732],"domain_scores_gemma":[0.9848935,0.007468845,0.004155322,0.001073149,0.0007590562,0.001650079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003111237,0.0001735159,0.9371271,0.00005710683,0.0002110417,0.0003495272,0.002836865,0.006620072,0.001710411,0.02302483,0.0002754816,0.02730288],"study_design_scores_gemma":[0.0000167482,0.0002749848,0.9481632,0.00004645412,0.00008108954,0.0001623949,0.00311437,0.01958753,0.0006369217,0.02695396,0.0009268292,0.00003544983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935272,0.0001205931,0.003227393,0.0002042255,0.000003815511,0.00001273129,0.0000633446,0.000008728005,0.002831791],"genre_scores_gemma":[0.9993789,0.00001886443,0.0003157169,0.00001125189,0.00000373403,0.00000441021,0.00004271244,0.000001827276,0.0002225971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004448954,"threshold_uncertainty_score":0.01488322,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Jan Bena","is_ca":true},{"name":"Hernán Ortiz‐Molina","is_ca":true},{"name":"Elena Simintzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0376191070676218,"gpt":0.2364339081645432,"spread":0.1988148010969213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188306,0.0003899576,0.0007034504,0.000721273,0.0006228131,0.00322846,0.0007813635,0.002865608,0.01464804],"category_scores_gemma":[0.01329366,0.0002555197,0.0005721006,0.0006066782,0.003147506,0.004325992,0.002102465,0.001695173,0.0005538659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009721896,"about_ca_system_score_gemma":0.0008879035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006516259,"about_ca_topic_score_gemma":0.0007201675,"domain_scores_codex":[0.9990348,0.000291242,0.00003994604,0.0001499302,0.0001847817,0.0002993794],"domain_scores_gemma":[0.9859702,0.008946041,0.002157561,0.001382536,0.0006289882,0.000914713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000823253,0.0006338095,0.02865227,0.0002819002,0.000140982,0.001045652,0.0009429195,0.01564556,0.0104936,0.8634562,0.00268214,0.07520168],"study_design_scores_gemma":[0.0001160842,0.0002245483,0.0193707,0.00006288739,0.00008935085,0.0002466691,0.0006141155,0.01239809,0.005115141,0.9580757,0.003652429,0.00003435465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8974551,0.002875968,0.02715831,0.01055816,0.0001527543,0.00003138087,0.0001414121,0.0001154841,0.06151141],"genre_scores_gemma":[0.9970636,0.0001865449,0.0003010701,0.0001239931,0.00008360304,0.000002188912,0.000009397586,0.000005965032,0.002223696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464804,"threshold_uncertainty_score":0.04900259,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Spawn (biology); Population; Small business; Economics; Marketing","authors":[{"name":"Ajay Agrawal","is_ca":true},{"name":"Iain Cockburn","is_ca":false},{"name":"Alberto Galasso","is_ca":true},{"name":"Alexander Oettl","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02444035205774088,"gpt":0.2146143904019636,"spread":0.1901740383442228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003890361,0.0001632345,0.0005133721,0.001380382,0.001524918,0.004664863,0.0008291419,0.001896757,0.00687842],"category_scores_gemma":[0.01739169,0.0002188534,0.0004409298,0.001801611,0.00553146,0.003934484,0.002493609,0.00136659,0.0007281056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664635,"about_ca_system_score_gemma":0.001500624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008907552,"about_ca_topic_score_gemma":0.01775013,"domain_scores_codex":[0.9972229,0.001186704,0.00006004059,0.000323472,0.0002952147,0.0009116883],"domain_scores_gemma":[0.960213,0.02044834,0.009183848,0.001009354,0.002951221,0.006194258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008814763,0.00043712,0.8997295,0.0002135526,0.0003816694,0.001115237,0.008862464,0.002667008,0.003587214,0.03132532,0.004562014,0.04623744],"study_design_scores_gemma":[0.0001246248,0.0004452402,0.9178988,0.000145444,0.0003410407,0.0005734963,0.04439504,0.002189537,0.00173204,0.02357978,0.008488717,0.00008617376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827308,0.0006711392,0.000563033,0.005093395,0.00002323325,0.00001203835,0.00007566468,0.00001302823,0.01081765],"genre_scores_gemma":[0.9991431,0.0001393408,0.00007211755,0.0002123456,0.00002533377,0.000002746586,0.0000138946,0.000003455695,0.0003875227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008907552,"threshold_uncertainty_score":0.02301055,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"Nahum Biger","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02067811566098769,"gpt":0.180665661557504,"spread":0.1599875458965163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524206,0.0002181245,0.0003329104,0.001656245,0.007190226,0.003031348,0.000796152,0.000291174,0.003780002],"category_scores_gemma":[0.008174647,0.000166278,0.0002488109,0.00282866,0.002019751,0.0007051448,0.001815593,0.0008195025,0.0001544706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04748968,"about_ca_system_score_gemma":0.11435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915131,"about_ca_topic_score_gemma":0.9947082,"domain_scores_codex":[0.9971819,0.0002197645,0.00007684004,0.0001543773,0.00131203,0.001055198],"domain_scores_gemma":[0.9856852,0.002030293,0.001762552,0.000235498,0.005675294,0.004611168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002043624,0.0001501964,0.8655081,0.0003536016,0.00004752789,0.001054714,0.0282167,0.001193122,0.001240184,0.01500673,0.009652628,0.0773721],"study_design_scores_gemma":[0.00001039057,0.000055539,0.9069622,0.0002846238,0.00002482312,0.0001668009,0.05820105,0.0012695,0.00055668,0.0009920208,0.03142263,0.00005373736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742098,0.0008554983,0.0002875575,0.003077285,0.00001948616,0.00006352848,0.000658207,0.00002237707,0.02080618],"genre_scores_gemma":[0.996242,0.0006057733,0.0001775255,0.0001453546,0.000002610528,0.00001520578,0.0001984489,0.000004515077,0.002608486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748968,"threshold_uncertainty_score":0.3445634,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Ajay Agrawal","is_ca":true},{"name":"Rebecca Henderson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1482778437074191,"gpt":0.2270260290156176,"spread":0.07874818530819852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004289167,0.0003152286,0.001203899,0.007224366,0.001908949,0.005780693,0.001002321,0.001675234,0.004767515],"category_scores_gemma":[0.05833672,0.0001989301,0.0004023791,0.01153401,0.002978136,0.01450744,0.003980455,0.001807072,0.0002928759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052814,"about_ca_system_score_gemma":0.0009064595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959827,"about_ca_topic_score_gemma":0.002451716,"domain_scores_codex":[0.9962773,0.001276397,0.0002052364,0.0006770838,0.001078704,0.0004852488],"domain_scores_gemma":[0.9390728,0.04530171,0.01101851,0.001842074,0.001777273,0.0009876095],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006021985,0.000477772,0.5757201,0.0007683246,0.0004445352,0.001867673,0.03729318,0.01324798,0.005513017,0.1253624,0.00135119,0.2373516],"study_design_scores_gemma":[0.00007974836,0.0006916606,0.6465011,0.0003065968,0.0004161177,0.00145156,0.03175987,0.01536263,0.005227542,0.2738722,0.02420761,0.0001234239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640947,0.002174212,0.007318525,0.002265808,0.00001921188,0.00002701652,0.0001603054,0.00003115079,0.02390918],"genre_scores_gemma":[0.9986416,0.0003713992,0.0003985663,0.0000846628,0.00004451453,0.000009969584,0.00005884397,0.000004761103,0.000385723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957108,"threshold_uncertainty_score":0.02268356,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Elicia Maine","is_ca":true},{"name":"Daniel M. Shapiro","is_ca":true},{"name":"Aidan R. Vining","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03125615936089061,"gpt":0.1864021329897759,"spread":0.1551459736288853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002068016,0.0002132931,0.0006009704,0.001844817,0.001126466,0.00311159,0.000745484,0.001553492,0.002374009],"category_scores_gemma":[0.01648483,0.0002342242,0.0004913833,0.002265356,0.002278543,0.003068623,0.001356586,0.0008467303,0.0003073071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346412,"about_ca_system_score_gemma":0.001000696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153845,"about_ca_topic_score_gemma":0.01736189,"domain_scores_codex":[0.9990037,0.0004177178,0.00004903815,0.0001511816,0.0001473382,0.0002310436],"domain_scores_gemma":[0.9756742,0.01492187,0.005048386,0.001306353,0.001508664,0.001540512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008312857,0.0002563867,0.4932202,0.0003816091,0.000453408,0.001262373,0.002695402,0.110784,0.003528027,0.3008709,0.007081049,0.07863539],"study_design_scores_gemma":[0.000114191,0.0002289454,0.5294129,0.0001678789,0.0002968368,0.0007169854,0.006169444,0.1552293,0.002531967,0.2969169,0.008084246,0.0001303183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750333,0.003292969,0.006310862,0.002851859,0.00002958419,0.0000247354,0.0001797723,0.00007126232,0.01220564],"genre_scores_gemma":[0.9988211,0.0003592407,0.0002108384,0.0000295305,0.00003092784,0.000002068934,0.00002773641,0.000004134525,0.0005144234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153845,"threshold_uncertainty_score":0.03058988,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Andreas Koch","is_ca":false},{"name":"Harald Strotmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07858757278764392,"gpt":0.2337997954767411,"spread":0.1552122226890972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002147767,0.0001897286,0.0003404529,0.003183444,0.0003656385,0.001672368,0.0003642859,0.0006331629,0.00467263],"category_scores_gemma":[0.01769813,0.0001611612,0.0003174834,0.003452203,0.001478258,0.001726929,0.001781619,0.0006790425,0.0005596891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115449,"about_ca_system_score_gemma":0.001056024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457339,"about_ca_topic_score_gemma":0.003342467,"domain_scores_codex":[0.9990476,0.0003011702,0.00005756974,0.00007888235,0.0001924312,0.0003224196],"domain_scores_gemma":[0.948543,0.0349219,0.01035187,0.0009831201,0.001376437,0.003823574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001534505,0.0002199004,0.9524509,0.00009341924,0.00009049981,0.0004344527,0.001293938,0.01384602,0.0007241736,0.01287433,0.0003961738,0.01742286],"study_design_scores_gemma":[0.00002998614,0.0001811945,0.9526325,0.0001340485,0.00006531163,0.0005009094,0.002932233,0.01666318,0.0007626108,0.02372113,0.002349786,0.00002705145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948341,0.0003157773,0.000570937,0.0002669951,0.000001558239,0.000006897203,0.0001137218,0.000006912598,0.003883279],"genre_scores_gemma":[0.9996263,0.0001113252,0.00004949414,0.000006213094,0.000004096911,0.000003256812,0.00003675196,8.877327e-7,0.0001616514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00467263,"threshold_uncertainty_score":0.01563144,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Olav Sorenson","is_ca":true},{"name":"Susan K. McEvily","is_ca":false},{"name":"Charlotte Ren","is_ca":false},{"name":"Raja Roy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02374152011438218,"gpt":0.2090540405805932,"spread":0.1853125204662111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002726016,0.0001789355,0.0003320508,0.001266662,0.0003702067,0.001813901,0.0003252091,0.0005840926,0.002291814],"category_scores_gemma":[0.01369456,0.0001224849,0.0002036036,0.0009776694,0.001259761,0.001457336,0.001645053,0.0005863374,0.00021387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608552,"about_ca_system_score_gemma":0.0003372834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107247,"about_ca_topic_score_gemma":0.001346242,"domain_scores_codex":[0.9989667,0.0004499207,0.00005482882,0.0001199052,0.0002594628,0.0001492147],"domain_scores_gemma":[0.9823861,0.008984411,0.004695387,0.0008921481,0.0007570029,0.002284928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006930717,0.0004931006,0.8895986,0.0001131364,0.0001452203,0.0002790534,0.006391855,0.008136596,0.007901793,0.01570143,0.0005611721,0.06998497],"study_design_scores_gemma":[0.00003988134,0.0008262562,0.9434538,0.00007382335,0.00004298148,0.0004129585,0.006921042,0.02032823,0.001375039,0.02479567,0.001684097,0.00004614895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960887,0.0001699407,0.0008588405,0.0001002441,0.000001499969,0.000004543749,0.00001428802,0.000005513042,0.002756415],"genre_scores_gemma":[0.999644,0.00002803959,0.0001736542,0.000008593516,0.000002701632,0.000002083955,0.00001021215,0.00000155711,0.0001291001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002726016,"threshold_uncertainty_score":0.01441675,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Haroon Bhorat","is_ca":false},{"name":"Ravi Kanbur","is_ca":false},{"name":"Benjamin Stanwix","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01525893695448354,"gpt":0.2167947759197281,"spread":0.2015358389652445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004022853,0.0005675374,0.0008619344,0.001081858,0.0007203272,0.001373827,0.001260704,0.001078619,0.001777852],"category_scores_gemma":[0.0157538,0.0005008715,0.001007058,0.001916859,0.0009923881,0.001290079,0.001931696,0.001707158,0.0002011902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471003,"about_ca_system_score_gemma":0.001603456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1161048,"about_ca_topic_score_gemma":0.1065385,"domain_scores_codex":[0.9969006,0.001977088,0.0001048386,0.0002599431,0.000221906,0.0005357395],"domain_scores_gemma":[0.9848899,0.0109898,0.002942944,0.0004027377,0.0003553968,0.0004191256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000542849,0.0007347132,0.9242134,0.000233221,0.0007756955,0.001438148,0.001724879,0.04463235,0.001556758,0.002820148,0.0005955597,0.02073216],"study_design_scores_gemma":[0.0001095268,0.0006272644,0.9344909,0.00009873465,0.0003980924,0.0001403557,0.005091106,0.05496234,0.001187447,0.001289392,0.001566383,0.00003845367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982804,0.0001226148,0.000783669,0.0002110314,0.000003528638,0.00003049203,0.0001358411,0.000003661506,0.0004286956],"genre_scores_gemma":[0.9983442,0.0001614341,0.0008363561,0.00003728775,0.000007495889,0.00003427693,0.000193575,0.000002555968,0.0003828444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1161048,"threshold_uncertainty_score":0.2308581,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Pierre‐Olivier Gourinchas","is_ca":true},{"name":"Ṣebnem Kalemli‐Özcan","is_ca":true},{"name":"Veronika Penciakova","is_ca":true},{"name":"Nick Sander","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.453027337658753,"gpt":0.5029080607653257,"spread":0.04988072310657271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004124899,0.0006088878,0.0009042171,0.002621117,0.0006779998,0.001523873,0.001212226,0.001946144,0.002815902],"category_scores_gemma":[0.01856807,0.0003423328,0.0008252473,0.002864191,0.0009424152,0.001594948,0.002416768,0.002041935,0.0002816955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312473,"about_ca_system_score_gemma":0.0008099415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03351011,"about_ca_topic_score_gemma":0.02255549,"domain_scores_codex":[0.9989492,0.0006365683,0.00005478923,0.0001425885,0.0001071231,0.0001097331],"domain_scores_gemma":[0.9871278,0.008441917,0.002483186,0.0006323424,0.0007485381,0.000566304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003890689,0.0004113181,0.2769143,0.0002643415,0.0002580414,0.001725741,0.000960107,0.6051112,0.0008535392,0.03363669,0.01291227,0.06656346],"study_design_scores_gemma":[0.00004694119,0.0001021008,0.03531865,0.00004595927,0.00003101381,0.0001974352,0.0005190969,0.941994,0.0002653679,0.02026293,0.001162459,0.00005411355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751552,0.001643697,0.1048106,0.005937672,0.0000847546,0.0001831967,0.00428843,0.0007552265,0.007141214],"genre_scores_gemma":[0.9847533,0.000417567,0.01295788,0.0001601665,0.00006106464,0.00006210624,0.0007475331,0.00004402543,0.0007965375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03351011,"threshold_uncertainty_score":0.06663013,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Kostas Karantininis","is_ca":false},{"name":"Johannes Sauer","is_ca":false},{"name":"William Hartley Furtan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05173149473464248,"gpt":0.2604332391155584,"spread":0.208701744380916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005006461,0.0005054698,0.001318966,0.003178041,0.001477539,0.00512906,0.0006827036,0.003686611,0.005054761],"category_scores_gemma":[0.01424667,0.0002902035,0.001032805,0.004006834,0.004022961,0.005469376,0.003354938,0.002386835,0.0003565727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005743269,"about_ca_system_score_gemma":0.002687691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467797,"about_ca_topic_score_gemma":0.01326673,"domain_scores_codex":[0.9978946,0.0007739115,0.0001034406,0.0002686305,0.0002535723,0.0007057803],"domain_scores_gemma":[0.9791425,0.01347825,0.003916859,0.0004678034,0.001116002,0.00187858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001585621,0.001944257,0.2897458,0.0004806952,0.0005502936,0.00204424,0.002040514,0.1470262,0.002301353,0.4364524,0.004799962,0.1110287],"study_design_scores_gemma":[0.0002932624,0.0006880618,0.2279954,0.0004805805,0.000408279,0.0004748112,0.004906588,0.1075896,0.001910873,0.6421027,0.01301724,0.0001325867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412696,0.0102733,0.009249473,0.01228342,0.0001196088,0.00005897013,0.0001562345,0.0000631082,0.02652624],"genre_scores_gemma":[0.995359,0.001654402,0.0003782056,0.0002323606,0.0001362091,0.00001103475,0.00004457578,0.000003755291,0.002180469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467797,"threshold_uncertainty_score":0.0416705,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Persistence (discontinuity); Psychology; Differential (mechanical device); Computer science; Cognitive psychology; Engineering","authors":[{"name":"Wei Yu","is_ca":false},{"name":"Robert S. Nason","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1070861085127309,"gpt":0.2563565035464664,"spread":0.1492703950337355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004168411,0.0001478648,0.0003981079,0.0009847446,0.0003189514,0.001643208,0.0004770345,0.0006865475,0.004067128],"category_scores_gemma":[0.03979812,0.0001172972,0.0004283364,0.0008918233,0.0006998005,0.001595816,0.001301696,0.0006481181,0.000343978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521146,"about_ca_system_score_gemma":0.0005104644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079493,"about_ca_topic_score_gemma":0.001480719,"domain_scores_codex":[0.9984391,0.0005576062,0.0001510861,0.0002395064,0.0003503091,0.0002624339],"domain_scores_gemma":[0.910287,0.06267513,0.0155196,0.004928871,0.002151988,0.004437431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001641911,0.0006379024,0.9420447,0.0001096482,0.0002900752,0.0001859818,0.00133005,0.005965183,0.00395355,0.002669042,0.0003127152,0.04085922],"study_design_scores_gemma":[0.00002897937,0.0007660454,0.9892613,0.00001727011,0.0001257097,0.00008465424,0.0007882629,0.005895045,0.001034081,0.0016187,0.0003582212,0.00002176657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972091,0.0002089368,0.0005209393,0.0001045182,0.000003109505,0.000009105848,0.0000841505,0.00001349173,0.001846586],"genre_scores_gemma":[0.9996238,0.00003444185,0.00006335249,0.00001186064,0.000006451891,0.000003230787,0.00005870647,0.000003024111,0.0001951748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004168411,"threshold_uncertainty_score":0.0220449,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Margaret E. Slade","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06385609225389974,"gpt":0.2389307345175255,"spread":0.1750746422636257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007090931,0.001482473,0.003455779,0.002165123,0.001571177,0.00822257,0.006088359,0.009325674,0.02386283],"category_scores_gemma":[0.02721312,0.001712836,0.002578594,0.002636141,0.003750395,0.008309022,0.00247345,0.004842748,0.002048566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004262926,"about_ca_system_score_gemma":0.001567441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028495,"about_ca_topic_score_gemma":0.01015405,"domain_scores_codex":[0.9976426,0.001239613,0.00007929299,0.0002967608,0.0002183124,0.0005233969],"domain_scores_gemma":[0.9705211,0.02359584,0.001764981,0.0009769362,0.001264951,0.001876335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002329858,0.0001727584,0.002173987,0.0001469338,0.0001107405,0.0003200041,0.0003045834,0.1624376,0.000173314,0.8193923,0.006845797,0.007689069],"study_design_scores_gemma":[0.000148305,0.000072054,0.001161799,0.00004190913,0.0000779313,0.0001553254,0.0001706197,0.4746967,0.0000472102,0.5212027,0.00217299,0.00005243235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5068979,0.01205001,0.2952688,0.04260555,0.000960508,0.0002599776,0.002573796,0.0008810991,0.1385024],"genre_scores_gemma":[0.9495502,0.002334337,0.006893766,0.0006053112,0.0005560049,0.0001016513,0.0004890725,0.00009632879,0.03937336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386283,"threshold_uncertainty_score":0.07982916,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Romel Mostafa","is_ca":true},{"name":"Steven Klepper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2213470362130286,"gpt":0.3062235318449383,"spread":0.08487649563190966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066668,0.0001996792,0.0002163435,0.001681933,0.001177608,0.001518915,0.0004463386,0.0006813246,0.00786983],"category_scores_gemma":[0.004318313,0.0001814058,0.0001669661,0.002382156,0.001649156,0.001331217,0.001555147,0.0006519507,0.001067979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238095,"about_ca_system_score_gemma":0.0008557274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033443,"about_ca_topic_score_gemma":0.04114159,"domain_scores_codex":[0.9995903,0.000106561,0.00002751467,0.00006621989,0.00009318803,0.0001161576],"domain_scores_gemma":[0.9906077,0.004725016,0.002738385,0.0005071947,0.0008243258,0.0005972669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006112837,0.0007134853,0.8600144,0.0006327251,0.0001132033,0.004210377,0.02608745,0.001587168,0.002784071,0.00988922,0.00222443,0.09113213],"study_design_scores_gemma":[0.0000475273,0.0003971152,0.9422362,0.0003031827,0.00006869303,0.0005426239,0.03776623,0.0009462174,0.001798198,0.002952622,0.01289168,0.00004968456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803298,0.00063522,0.0002825893,0.0004032532,0.000002860472,0.00002118743,0.0001976439,0.000004783281,0.01812281],"genre_scores_gemma":[0.9972883,0.0009345801,0.0001257774,0.00003946012,0.000004120054,0.000006446426,0.0001164768,0.000001466569,0.001483208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02033443,"threshold_uncertainty_score":0.04043216,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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","authors":[{"name":"Jianmin Tang","is_ca":true},{"name":"Weimin Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05839897672871032,"gpt":0.1539458089306477,"spread":0.09554683220193734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009796143,0.0004295455,0.000438626,0.009649697,0.001787435,0.002627594,0.0005573087,0.0002878236,0.001842362],"category_scores_gemma":[0.004178911,0.0002053579,0.0004284142,0.01960077,0.000559013,0.0004823412,0.001731239,0.000795992,0.0002675372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04005212,"about_ca_system_score_gemma":0.04230728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869766,"about_ca_topic_score_gemma":0.9867654,"domain_scores_codex":[0.9985076,0.00006800085,0.00004246065,0.00009946183,0.0008129075,0.0004696482],"domain_scores_gemma":[0.9957974,0.0002987265,0.000471267,0.00009865103,0.002898499,0.000435461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004003289,0.00004731289,0.7764811,0.0003144946,0.0004186959,0.0009507943,0.004203449,0.01284619,0.001258545,0.02574971,0.03892222,0.1384071],"study_design_scores_gemma":[0.00002060261,0.00001012617,0.9367726,0.0001903789,0.0001133335,0.0001345917,0.002814043,0.00924917,0.0009685023,0.003278703,0.04638236,0.00006557025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885797,0.00660239,0.00243371,0.004729398,0.0001508957,0.00008806201,0.05565951,0.0002435617,0.04429552],"genre_scores_gemma":[0.9797397,0.002549292,0.0007502877,0.0001286675,0.00003427654,0.00002834488,0.01034634,0.0000336373,0.00638946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04005212,"threshold_uncertainty_score":0.2905998,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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","authors":[{"name":"Jen Baggs","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1286954946657694,"gpt":0.1890254998105082,"spread":0.06033000514473877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203597,0.0001374013,0.000333955,0.0008521902,0.0007031189,0.001617878,0.0003597871,0.0007254888,0.005539868],"category_scores_gemma":[0.009435274,0.00007371137,0.0002954806,0.0008482049,0.0007670537,0.0006106508,0.0007651016,0.001081114,0.0003954894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003236468,"about_ca_system_score_gemma":0.001409556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1979699,"about_ca_topic_score_gemma":0.2617517,"domain_scores_codex":[0.9993852,0.00006366148,0.00002232958,0.00007262192,0.0001252997,0.0003308371],"domain_scores_gemma":[0.9869819,0.002940975,0.005364116,0.0003333892,0.002023611,0.002355998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007494811,0.000114542,0.9694361,0.00003171976,0.00007669973,0.0003855278,0.0005911723,0.006620938,0.0007575655,0.002087917,0.002489003,0.01665943],"study_design_scores_gemma":[0.00001279204,0.00009466825,0.9929791,0.00001261201,0.00002029719,0.000062769,0.001156901,0.002875425,0.0002782022,0.001052866,0.001437283,0.00001712728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947594,0.0002216263,0.0001422974,0.000606626,0.000008296046,0.000009606819,0.0006337294,0.000008713223,0.003609661],"genre_scores_gemma":[0.9984334,0.00004766705,0.00001130766,0.0000269231,0.000006049958,0.000001427978,0.0003035054,8.099203e-7,0.001168899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1979699,"threshold_uncertainty_score":0.3936352,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Equity (law); Legislation; Affirmative action; Business; Economic growth; Finance; Economics; Political science; Law","authors":[{"name":"Adèle Thomas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1078188784313741,"gpt":0.3118667241358669,"spread":0.2040478457044927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450244,0.000397819,0.0002677341,0.001226652,0.002956032,0.003504902,0.0003905149,0.001375248,0.007390529],"category_scores_gemma":[0.002827727,0.0001476488,0.0002594163,0.001963652,0.003017067,0.004250357,0.003717335,0.002393866,0.0003067375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003997108,"about_ca_system_score_gemma":0.007193968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02987715,"about_ca_topic_score_gemma":0.06741989,"domain_scores_codex":[0.999458,0.0001599739,0.00001904098,0.00003323562,0.00005947229,0.000270309],"domain_scores_gemma":[0.9989948,0.0004878239,0.00009679115,0.00003204094,0.0001045993,0.0002839819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001559108,0.0001854439,0.03530102,0.00123685,0.00004118366,0.00454963,0.08722835,0.00145197,0.0007845513,0.3538463,0.02825525,0.4869635],"study_design_scores_gemma":[0.00008151686,0.0002720102,0.08923325,0.0054084,0.00008563678,0.001461392,0.1778465,0.0006585425,0.001650926,0.1134791,0.6097675,0.00005521139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4386497,0.08373998,0.001751079,0.2631372,0.0009384789,0.0001128262,0.0002066023,0.00003410373,0.2114301],"genre_scores_gemma":[0.9489409,0.0335983,0.0005818785,0.005197186,0.0002407073,0.00003286496,0.00004194818,0.0000178992,0.01134818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02987715,"threshold_uncertainty_score":0.05940652,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Christian Keen","is_ca":false},{"name":"Hamid Etemad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02624360451822201,"gpt":0.2137095504158732,"spread":0.1874659458976512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328596,0.0004514008,0.0004134911,0.002978731,0.02057089,0.006814012,0.00154828,0.001125507,0.004342384],"category_scores_gemma":[0.005105636,0.0002900297,0.0004949956,0.006579753,0.003903744,0.001696945,0.004228693,0.0023102,0.0002797766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07624662,"about_ca_system_score_gemma":0.09225722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940858,"about_ca_topic_score_gemma":0.9956958,"domain_scores_codex":[0.9973412,0.0001503485,0.00004325619,0.0001490985,0.0004910231,0.001824988],"domain_scores_gemma":[0.9945234,0.0007642416,0.0005205778,0.0001779877,0.001556926,0.002456867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003098355,0.0003067119,0.6059477,0.000239415,0.00007297492,0.0175879,0.2687743,0.001446454,0.001207435,0.03676942,0.01374945,0.05358854],"study_design_scores_gemma":[0.00002268466,0.00005063526,0.4313808,0.0002874814,0.00005897176,0.001349942,0.5135846,0.001539239,0.0003985686,0.001426158,0.0498146,0.0000863885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722419,0.0004414638,0.00009229154,0.002730658,0.00001562356,0.00005028995,0.0002456678,0.000007975967,0.02417408],"genre_scores_gemma":[0.9928159,0.001011836,0.0001464465,0.0004024678,0.000007135216,0.0000168325,0.0002723584,0.00001199023,0.005315072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07624662,"threshold_uncertainty_score":0.5532105,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jorge Niosi","is_ca":true},{"name":"Marc Banik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02690110339373695,"gpt":0.2019437363570898,"spread":0.1750426329633529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302234,0.0001653072,0.0002479749,0.003435918,0.0007450556,0.003765956,0.0006616631,0.0006065707,0.001978836],"category_scores_gemma":[0.01386497,0.0001880894,0.0002655823,0.003427406,0.001770939,0.001387764,0.001676958,0.0003698739,0.0005543824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005843852,"about_ca_system_score_gemma":0.002077282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0500844,"about_ca_topic_score_gemma":0.04748496,"domain_scores_codex":[0.9978752,0.000447901,0.00009059677,0.0004040727,0.0005311684,0.0006510557],"domain_scores_gemma":[0.9876023,0.003400193,0.003528323,0.001030297,0.003435293,0.001003581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004579724,0.0001669226,0.8285341,0.0001743028,0.000215744,0.0003613025,0.009172938,0.02109574,0.0179433,0.03225007,0.001236035,0.0883915],"study_design_scores_gemma":[0.00001702875,0.0001933292,0.9785058,0.00001716719,0.00004222547,0.0001968742,0.002824078,0.01010573,0.002508814,0.002601684,0.002945663,0.0000415709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916677,0.0002473936,0.0005742443,0.00009518963,0.000002127653,0.00001444647,0.0001335073,0.00002226681,0.007243072],"genre_scores_gemma":[0.9991199,0.00005466111,0.0002712157,0.000004619129,0.000001584622,0.000002297043,0.00006467033,0.000003729045,0.0004773651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0500844,"threshold_uncertainty_score":0.09958577,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"John M. de Figueiredo","is_ca":false},{"name":"Brian S. Silverman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02534675221907028,"gpt":0.232089309071921,"spread":0.2067425568528508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571836,0.0001396672,0.000268792,0.001229255,0.00119846,0.001964404,0.0003271664,0.000729649,0.001449717],"category_scores_gemma":[0.006220175,0.0001727256,0.0002075278,0.0007809593,0.002102326,0.002231805,0.001513552,0.000579003,0.0001836749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521525,"about_ca_system_score_gemma":0.0009711004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00628273,"about_ca_topic_score_gemma":0.00854671,"domain_scores_codex":[0.9993051,0.0002606794,0.00001568643,0.00008070713,0.0001127941,0.0002249603],"domain_scores_gemma":[0.9945958,0.002782461,0.001430339,0.000190908,0.000274268,0.0007262644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007165645,0.0002764965,0.6683965,0.0001106295,0.00007654386,0.002802889,0.03345712,0.009822149,0.006211082,0.1571114,0.001982518,0.1190361],"study_design_scores_gemma":[0.0001362812,0.0006733789,0.5959016,0.0001504974,0.0000958053,0.002513571,0.04875926,0.08553872,0.002398563,0.2435175,0.02017841,0.0001364399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989742,0.0002043203,0.004275986,0.0003633081,0.000002394937,0.00001469447,0.00001159351,0.000006775918,0.005378876],"genre_scores_gemma":[0.9985313,0.0000750506,0.0006088736,0.00003653685,0.000003312199,0.000005282955,0.000008932914,0.000001307326,0.0007293816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00628273,"threshold_uncertainty_score":0.0124923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}