{"id":"W1528216020","doi":"","title":"COMPETITION WITHIN A CARTEL: CORRECTION","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cartel; League; Competition (biology); Mathematical economics; Economics; Law and economics; Econometrics; Computer science; Microeconomics; Collusion; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001781563,0.000333275,0.0008205686,0.001024875,0.0002388051,0.0001756954,0.0005210716,0.0005276004,0.000373862],"category_scores_gemma":[0.0001746736,0.0004316141,0.0002506402,0.000224202,0.0002576693,0.0001571276,0.0004516841,0.001859441,0.0001916041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090385,"about_ca_system_score_gemma":0.0002509874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008659904,"about_ca_topic_score_gemma":0.0008430464,"domain_scores_codex":[0.996779,0.00004340435,0.0013053,0.001092876,0.00009783557,0.000681553],"domain_scores_gemma":[0.9980212,0.0001113749,0.0006085119,0.0009877337,0.00009512917,0.0001760001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000265848,0.0009412849,0.3298318,0.0005164206,0.0004396463,0.0002066459,0.004569183,0.5289731,0.0000134714,0.06477155,0.003046316,0.06642473],"study_design_scores_gemma":[0.001009399,0.0001912375,0.05524588,0.0003414495,0.000008046101,0.00006533787,0.0004026389,0.6558655,0.00005995163,0.01440015,0.271127,0.001283395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437928,0.0005786567,0.0000527431,0.0002778911,0.004320429,0.0006595777,0.0002154081,0.00007032891,0.3500322],"genre_scores_gemma":[0.9648932,0.02692018,0.0001761472,0.000096387,0.000486834,0.0001414791,0.0002035803,0.00007916572,0.007003043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430291,"threshold_uncertainty_score":0.9998136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887104441471169,"score_gpt":0.2801992263962051,"score_spread":0.2313281819814934,"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."}}