{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005424187,0.0002613066,0.0005013287,0.0001221024,0.0009139707,0.0009382228,0.0008355729,0.0002664144,0.01378093],"category_scores_gemma":[0.00005963689,0.0003366792,0.0003088915,0.00007787363,0.0002840314,0.0006105806,0.0001216749,0.0003139897,0.007607431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008857792,"about_ca_system_score_gemma":0.00002640457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631083,"about_ca_topic_score_gemma":0.0003176114,"domain_scores_codex":[0.9980568,0.00000585458,0.0006739231,0.0006071544,0.00005476324,0.0006014811],"domain_scores_gemma":[0.9971847,0.00001498691,0.0008645174,0.001703208,0.00005190402,0.000180704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000203737,0.000228015,0.5435652,0.0001195267,0.0001564299,0.000027607,0.0003775689,0.00007397075,0.000001124187,0.2707915,0.1417784,0.04286026],"study_design_scores_gemma":[0.0004537619,0.00004462092,0.3162549,0.00007617114,0.00001268739,0.000006132811,0.00002023663,0.004137958,0.000006231252,0.0110004,0.6676707,0.0003160913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1717673,0.05413214,0.001068016,0.03632401,0.02533001,0.0002436479,0.0003399638,0.00003405584,0.7107608],"genre_scores_gemma":[0.6866122,0.008703532,0.0002438583,0.0007492144,0.001301836,0.000008257205,0.00001313997,0.00004267913,0.3023253],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5258923,"threshold_uncertainty_score":0.9999085,"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."}}