{"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,"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","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":[0.002003746,0.0002472534,0.0006225719,0.001668187,0.000605651,0.002968371,0.0004228294,0.0006012482,0.004448954],"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"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461193519655798,"score_gpt":0.2410305049388096,"score_spread":0.0949111529732298,"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."}}