{"id":"W7023392233","doi":"","title":"MSU vs. San Diego","year":2011,"lang":"en","type":"article","venue":"ScholarWorks - MoreheadState (Morehead State University)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); State (computer science); Yard; Interception; Eagle","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004120737,0.0004306033,0.0004800386,0.002002991,0.002100169,0.007000991,0.0009286104,0.0009831589,0.2460584],"category_scores_gemma":[0.00232457,0.0003512998,0.0003291062,0.004717118,0.0008061816,0.002277044,0.001924983,0.001748506,0.04495351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004903474,"about_ca_system_score_gemma":0.002856189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07393698,"about_ca_topic_score_gemma":0.1576383,"domain_scores_codex":[0.9992737,0.0001023089,0.00002690421,0.000226692,0.0002213335,0.0001490375],"domain_scores_gemma":[0.9986601,0.0001826723,0.0002001997,0.0001033559,0.0003654193,0.0004882223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002066024,0.00003772353,0.003536464,0.0001483908,0.00002040678,0.00005900456,0.0004182105,0.0001018761,0.0001526152,0.03439242,0.9188672,0.04205906],"study_design_scores_gemma":[0.00004443803,0.00004747465,0.01141237,0.0002674845,0.00001672537,0.00006373157,0.001510254,0.00005536334,0.000128829,0.001024652,0.985418,0.00001070877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01112244,0.01541914,0.0001433291,0.02093612,0.001944224,0.00001246186,0.00603504,0.0004197134,0.9439676],"genre_scores_gemma":[0.1480676,0.01361227,0.0005128488,0.0076214,0.001533244,0.0001350525,0.008813077,0.0008942501,0.8188103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2460584,"threshold_uncertainty_score":0.8231475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890909342465601,"score_gpt":0.1869603883906063,"score_spread":0.1480512949659503,"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."}}