{"id":"W4251004972","doi":"10.2139/ssrn.3190663","title":"Build or Buy? Human Capital and Corporate Diversification","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Diversification (marketing strategy); Human capital; Industrial organization; Finance; Commerce; Economics; Marketing; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476579,0.0001978791,0.0004058161,0.0006119492,0.0004784407,0.002688116,0.0004129172,0.002200069,0.0121811],"category_scores_gemma":[0.008076284,0.0001529857,0.0002453775,0.0006570516,0.001882593,0.003048958,0.001016986,0.001145037,0.0006121808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005982586,"about_ca_system_score_gemma":0.0004266034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003450543,"about_ca_topic_score_gemma":0.004490663,"domain_scores_codex":[0.9996836,0.0001156664,0.000009669744,0.00004948442,0.00003255876,0.0001090379],"domain_scores_gemma":[0.9870158,0.007997496,0.002512955,0.0002693313,0.0002318247,0.001972578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008828516,0.0005712265,0.7359509,0.0002226579,0.0003124158,0.001509842,0.002322863,0.006623705,0.0008666845,0.1050898,0.009432903,0.1362142],"study_design_scores_gemma":[0.0001394373,0.0003487204,0.5693437,0.0003004362,0.0002924703,0.000861345,0.01126674,0.0143708,0.000695814,0.3852483,0.01705381,0.00007837043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645444,0.007315154,0.001324324,0.01267998,0.00008448989,0.000008536994,0.0001202627,0.00001489948,0.01390781],"genre_scores_gemma":[0.9971979,0.000525704,0.00006564407,0.000277307,0.00009038224,0.000001790485,0.00001443372,0.000001701129,0.00182516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121811,"threshold_uncertainty_score":0.04074985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693879709524222,"score_gpt":0.229168805310224,"score_spread":0.1922300082149818,"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."}}