{"id":"W2528051448","doi":"10.1177/0193723516672905","title":"Timing and Imaging Evidence in Sport","year":2016,"lang":"en","type":"article","venue":"Journal of Sport and Social Issues","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Gold medal; Elite; Beijing; Medal; Political science; Psychology; Public relations; History; Law","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":[0.03295996,0.0006112002,0.0009174034,0.01466542,0.002431225,0.01300566,0.002109233,0.00362988,0.006163206],"category_scores_gemma":[0.2061052,0.000656885,0.000782741,0.01377649,0.01513584,0.01252327,0.006937702,0.00411188,0.0007197861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005162586,"about_ca_system_score_gemma":0.005500644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023589,"about_ca_topic_score_gemma":0.00753217,"domain_scores_codex":[0.9579967,0.02309442,0.003714993,0.003626887,0.01040439,0.001162654],"domain_scores_gemma":[0.6983569,0.2393695,0.03424905,0.01112722,0.01488021,0.002017202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003032013,0.00008474302,0.06964017,0.003161932,0.0003240623,0.0003985586,0.006130835,0.002452476,0.0002513556,0.7306659,0.0165852,0.1700015],"study_design_scores_gemma":[0.00007656222,0.0002941007,0.1040518,0.02117048,0.000345605,0.0008211571,0.01239002,0.002608838,0.001237172,0.5506347,0.3061408,0.0002288699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1336481,0.3230596,0.0637167,0.1958776,0.006692272,0.0002521307,0.003466353,0.0001709859,0.2731163],"genre_scores_gemma":[0.8690249,0.08624563,0.0149157,0.01505912,0.006372825,0.0002606767,0.001146623,0.0001317138,0.006842802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03295996,"threshold_uncertainty_score":0.174311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05174883845117584,"score_gpt":0.2792495772982442,"score_spread":0.2275007388470684,"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."}}