{"id":"W4206110898","doi":"10.3917/cerpsy.087.0064","title":"Federer","year":2017,"lang":"fr","type":"article","venue":"Cerveau & Psycho","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Mathematics","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":[0.0008158121,0.0008229217,0.000652111,0.002843406,0.001117342,0.004057749,0.0008712839,0.001924345,0.3480975],"category_scores_gemma":[0.003351228,0.000380875,0.0004392635,0.002893377,0.0007129431,0.003524051,0.002175129,0.001726418,0.3219181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212216,"about_ca_system_score_gemma":0.001288408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002629383,"about_ca_topic_score_gemma":0.003435135,"domain_scores_codex":[0.9992889,0.00008757394,0.00005644738,0.0001935761,0.0003031557,0.00007030023],"domain_scores_gemma":[0.9988681,0.0001772589,0.00006439527,0.0004350758,0.0003557868,0.00009931534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008359058,0.00005242491,0.00066119,0.0001172068,0.00000963155,0.0001019096,0.000124327,0.0005084826,0.0006971491,0.08432049,0.443333,0.4699905],"study_design_scores_gemma":[0.000008911574,0.000008054129,0.0003200533,0.00006863393,0.000005242508,0.0001265149,0.00003861564,0.0003199742,0.0005885873,0.01138545,0.9871212,0.00000884186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003435787,0.008175027,0.01293333,0.009312774,0.003519439,0.00006137617,0.007777593,0.003819814,0.9509648],"genre_scores_gemma":[0.0128707,0.003448894,0.005396929,0.0009842875,0.0004195051,0.00004922902,0.00300617,0.0009885899,0.9728357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3480975,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676170086151244,"score_gpt":0.28634333061649,"score_spread":0.2187263220013656,"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."}}