{"id":"W2015373604","doi":"10.1017/s1049096512001497","title":"CLOSENESS COUNTS IN HORSE SHOES, DANCING, AND FORECASTING","year":2013,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convention; Quarter (Canadian coin); Closeness; Democracy; Economics; Political science; Law; History; Politics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008681538,0.00009219667,0.0001432603,0.0000987883,0.0003682429,0.0001930665,0.0001827493,0.00007956644,0.0001932453],"category_scores_gemma":[0.001444471,0.00008319851,0.00002201507,0.0003144212,0.001364768,0.0003603723,0.00005177893,0.0001266356,0.0001741004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006941,"about_ca_system_score_gemma":0.0004179653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05486521,"about_ca_topic_score_gemma":0.001721157,"domain_scores_codex":[0.9974082,0.00009448043,0.0002639997,0.0002296483,0.0004692094,0.001534487],"domain_scores_gemma":[0.9986699,0.0002277342,0.00003382894,0.000120714,0.0001549473,0.0007929006],"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":[2.45152e-7,0.00001541382,0.04882491,0.000008584458,5.461148e-7,0.00000114079,0.0003309805,3.372922e-7,0.0001121256,0.9499667,0.0001054878,0.0006335817],"study_design_scores_gemma":[0.0003346358,0.00009143101,0.4008457,0.000119745,0.0000146787,0.000009256819,0.001973803,0.003047956,0.0007523345,0.5701295,0.02206733,0.0006136911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610482,0.0000267414,0.00003308381,0.002310678,0.0002368887,0.0001893224,0.000004517241,0.00003640639,0.1361142],"genre_scores_gemma":[0.9978525,0.000001899398,0.0001337274,0.0006075401,0.0003652373,0.0000171125,8.136247e-7,0.000006803537,0.00101436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798372,"threshold_uncertainty_score":0.9514285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573288199459737,"score_gpt":0.3672505542417221,"score_spread":0.3015176722471247,"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."}}