{"id":"W3154414007","doi":"10.1016/j.ijindorg.2021.102740","title":"Can Firms Benefit From Competition?","year":2021,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Downstream (manufacturing); Competitor analysis; Upstream (networking); Competition (biology); Industrial organization; Business; Supply chain; Exit strategy; Economics; Microeconomics; Marketing; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001630602,0.00007734091,0.000230651,0.0002200037,0.00004381422,0.0001368835,0.0002536112,0.00008812673,0.01361134],"category_scores_gemma":[0.0005002678,0.00008933648,0.0001043894,0.0004096414,0.00001453066,0.0001994782,0.00004028765,0.0001578855,0.0001668809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497759,"about_ca_system_score_gemma":0.00008207931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011665,"about_ca_topic_score_gemma":0.00003449389,"domain_scores_codex":[0.9988902,0.00001844057,0.0007478446,0.000136166,0.0001326315,0.00007476556],"domain_scores_gemma":[0.9982577,0.00004179825,0.0006401922,0.0001023204,0.0008888857,0.00006909318],"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":[0.00003890057,0.000339281,0.4964127,0.000001568884,0.0009880877,0.0001368554,0.0004869417,0.001413603,0.001019841,0.4907155,0.005892096,0.002554629],"study_design_scores_gemma":[0.01645148,0.0003027889,0.2015646,0.0005139073,0.0003064959,0.0005610476,0.002021651,0.001488484,0.06389429,0.4232787,0.2878763,0.001740332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233562,0.000654435,0.03100183,0.02825771,0.008948284,0.00006710377,0.0006664924,0.00003158975,0.007016293],"genre_scores_gemma":[0.9965352,0.0001734637,0.0003790284,0.0005803711,0.001590192,3.511689e-7,0.0003090168,0.0000134956,0.0004188728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2948481,"threshold_uncertainty_score":0.9872904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984679254110188,"score_gpt":0.2201046418901731,"score_spread":0.1902578493490713,"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."}}