{"id":"W7096925556","doi":"","title":"DÉPARTEMENT DE PHYSIQUE, DE GÉNIE ET D’OPTIQUE","year":2014,"lang":"en","type":"article","venue":"","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Work (physics); Term (time)","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":[0.0001984322,0.00006700194,0.00006145714,0.00002255074,0.0000113864,0.00001733049,0.00005923287,0.00004430134,0.00008456042],"category_scores_gemma":[0.000003128663,0.00006104323,0.00002659092,0.00004129626,0.000003341683,0.00002714253,0.00001255832,0.00005866336,0.00002125654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000621933,"about_ca_system_score_gemma":0.00001040667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002880131,"about_ca_topic_score_gemma":0.0001279748,"domain_scores_codex":[0.9996207,0.000006336324,0.00007298676,0.00006377661,0.00004725331,0.0001889037],"domain_scores_gemma":[0.9998105,0.000008034741,0.000007475842,0.0001089378,0.00000839523,0.00005670794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001058725,0.0001464966,0.002759343,0.0001819274,0.0001287563,0.00001836292,0.0006811515,0.07913963,0.2552323,0.5771227,0.03384905,0.05072962],"study_design_scores_gemma":[0.0001278946,0.00002105043,0.002818652,0.000008547416,0.00000588685,0.000004710565,0.00002908417,0.9553352,0.01446911,0.005039164,0.02198232,0.0001583705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4681156,0.00001549731,0.4993206,0.0002817592,0.000125316,0.0000654,0.000001441013,0.0003451632,0.0317293],"genre_scores_gemma":[0.9913549,0.00006357879,0.007599934,0.000501857,0.00004686737,0.000009094722,0.000004993395,0.0000171806,0.0004015756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8761955,"threshold_uncertainty_score":0.248927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003679075651278199,"score_gpt":0.2066520239108956,"score_spread":0.2029729482596174,"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."}}