{"id":"W3128566002","doi":"10.1080/19186444.2021.1873715","title":"Firm-specific antecedents affecting product diversification: evidence from India","year":2021,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Tobit model; Business; Industrial organization; Regression analysis; Marketing; Economics; Econometrics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417501,0.0001715298,0.0002898912,0.002724393,0.0003574455,0.001575121,0.000301338,0.0003430501,0.00189458],"category_scores_gemma":[0.005202602,0.0001241741,0.0004919631,0.006328933,0.0007675042,0.0005992785,0.0007020399,0.0004453042,0.0001580518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899919,"about_ca_system_score_gemma":0.001320444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985391,"about_ca_topic_score_gemma":0.03483321,"domain_scores_codex":[0.999429,0.0001527244,0.00006903175,0.0000928712,0.0001560515,0.0001002777],"domain_scores_gemma":[0.9851581,0.006618862,0.005280301,0.0005834016,0.001787749,0.0005714583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209869,0.0001048531,0.9683871,0.0006534278,0.0006630845,0.0004196324,0.0005643463,0.0004673357,0.0005657973,0.001178997,0.0009877085,0.02578669],"study_design_scores_gemma":[0.00000567639,0.00003832921,0.9969367,0.00006549433,0.0003159411,0.00008850032,0.0004965775,0.00005424888,0.0001286959,0.0001550982,0.001710772,0.000004107172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642164,0.02860399,0.0001016411,0.0006800464,0.00001792744,0.00001082019,0.0005767671,0.000005996083,0.005786499],"genre_scores_gemma":[0.989058,0.01023907,0.00006053818,0.00007060096,0.00001878358,0.00000229958,0.0003177869,0.000001455236,0.0002315131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01985391,"threshold_uncertainty_score":0.03947669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204683828782007,"score_gpt":0.2717123498532961,"score_spread":0.1512439669750955,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}