{"id":"W2614258111","doi":"10.2139/ssrn.2924665","title":"Playing by the Rules? Agreement between Predicted and Observed Binary Choices","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Agreement; Binary number; Psychology; Mathematics; Linguistics; Philosophy; Arithmetic","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":[0.04304187,0.0003729225,0.001615349,0.0009987578,0.001233129,0.008776523,0.002222401,0.005116709,0.008980602],"category_scores_gemma":[0.2204713,0.0006486949,0.0008624545,0.0008522828,0.004244399,0.005561553,0.001709083,0.005953667,0.001303715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636279,"about_ca_system_score_gemma":0.001740322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300555,"about_ca_topic_score_gemma":0.004000867,"domain_scores_codex":[0.9798437,0.01159915,0.001031653,0.003556568,0.001982174,0.001986672],"domain_scores_gemma":[0.7579729,0.1998338,0.01722967,0.01591041,0.006129634,0.002923586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005314348,0.001019278,0.2311141,0.0004066802,0.001613098,0.000804426,0.00815848,0.04086346,0.003633246,0.6049455,0.01110773,0.09101965],"study_design_scores_gemma":[0.0004918263,0.0002526298,0.1022924,0.0001302875,0.0002351102,0.0002029573,0.002314635,0.1182927,0.001689672,0.7708067,0.00312236,0.0001687176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056295,0.0005933573,0.03689627,0.0158156,0.0002776281,0.0001203357,0.0008291187,0.0001089706,0.0397292],"genre_scores_gemma":[0.9973446,0.00007622964,0.001341747,0.0004102986,0.00005046137,0.00002086747,0.000102151,0.00001476995,0.0006389164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04304187,"threshold_uncertainty_score":0.2276299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828885807906081,"score_gpt":0.2088179886153087,"score_spread":0.1805291305362479,"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."}}