{"id":"W4405387752","doi":"10.1111/manc.12501","title":"External Effect of Entry","year":2024,"lang":"en","type":"article","venue":"Manchester School","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","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":[0.001255099,0.000466207,0.0008834856,0.0009816628,0.0004769671,0.001908073,0.0006214447,0.0007243711,0.03976445],"category_scores_gemma":[0.006177634,0.0001898135,0.0009371954,0.0007362784,0.001425724,0.001288385,0.002587939,0.001400992,0.001430795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319545,"about_ca_system_score_gemma":0.000751447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832913,"about_ca_topic_score_gemma":0.001909192,"domain_scores_codex":[0.9985662,0.0004655409,0.00004993589,0.0001659266,0.0002715279,0.0004809259],"domain_scores_gemma":[0.9872946,0.007946362,0.001569971,0.0008129538,0.001376981,0.0009991386],"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":[0.003820033,0.002028564,0.1634792,0.001060962,0.0006962147,0.003463356,0.0009022632,0.2051614,0.02278676,0.4557972,0.01381198,0.1269922],"study_design_scores_gemma":[0.0004555381,0.004136067,0.427402,0.0006438284,0.001558767,0.003416352,0.003797485,0.1580656,0.03037972,0.3039301,0.06578601,0.0004286095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7060933,0.001030054,0.01852385,0.001462041,0.000125933,0.0001764552,0.0008622631,0.0001874816,0.2715387],"genre_scores_gemma":[0.983976,0.0003124621,0.0003498075,0.0001653707,0.00006299847,0.0000200307,0.0002048643,0.00003277454,0.01487566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03976445,"threshold_uncertainty_score":0.1330253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177615025667286,"score_gpt":0.2173646979928238,"score_spread":0.205588547736151,"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."}}