{"id":"W2090717583","doi":"10.1111/1467-8586.00126","title":"An Asymmetric Information Model of Lockouts","year":2001,"lang":"en","type":"article","venue":"Bulletin of Economic Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Private information retrieval; Bargaining power; Information asymmetry; Economics; Microeconomics; Collective bargaining; Complete information; Power (physics); Industrial organization; Market economy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002011121,0.00008036075,0.000346852,0.00126373,0.00006096282,0.00003952405,0.0003899483,0.00007419939,0.00705754],"category_scores_gemma":[0.0001099616,0.00009816186,0.0001237914,0.0002881898,0.0001009009,0.0001607991,0.00004561966,0.0001332531,0.002944216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000087928,"about_ca_system_score_gemma":0.00004320053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100774,"about_ca_topic_score_gemma":0.00001226457,"domain_scores_codex":[0.9985606,0.00004029922,0.0008817514,0.0002009197,0.00007020617,0.0002462326],"domain_scores_gemma":[0.9989495,0.00007915978,0.0003051273,0.0004598217,0.000107834,0.00009856234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001082803,0.0002560257,0.03745079,0.00007564542,0.00009802308,6.319811e-7,0.000377668,0.02957962,0.00005301138,0.9002687,0.0266312,0.005100438],"study_design_scores_gemma":[0.001738433,0.0004673404,0.009412611,0.00002823941,0.00001040246,0.000004518812,0.0007047314,0.4368546,0.001898138,0.1021376,0.4462107,0.000532783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3597446,0.0002987904,0.005773452,0.001016917,0.00007586215,0.000192244,0.0001692154,0.0000172342,0.6327117],"genre_scores_gemma":[0.9970133,0.0005541022,0.0006641974,0.00006232481,0.00003539718,0.00001468655,0.00004351937,0.000009104275,0.001603361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7981311,"threshold_uncertainty_score":0.9978321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034437713854787,"score_gpt":0.3201887718555382,"score_spread":0.2167450004700595,"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."}}