{"id":"W4386803071","doi":"10.23977/acss.2023.070714","title":"Fencing Model Development and Web Deployment Report","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fencing; Computer science; Software deployment; Linear regression; Linear model; Simulation; Machine learning; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002703363,0.001036444,0.0008891027,0.001622066,0.0006697318,0.002072592,0.002842471,0.001342587,0.03829151],"category_scores_gemma":[0.0123117,0.0006661028,0.001638951,0.001612412,0.0002578562,0.002282392,0.001331922,0.002239753,0.01447943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155378,"about_ca_system_score_gemma":0.002878845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03978962,"about_ca_topic_score_gemma":0.02551739,"domain_scores_codex":[0.9989001,0.0002726558,0.00008168442,0.0002089002,0.0003986872,0.0001380331],"domain_scores_gemma":[0.9964024,0.001184585,0.00009598769,0.0005593738,0.001596646,0.0001610476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005085401,0.000670918,0.01155279,0.0005791985,0.0002239388,0.0007491077,0.0001771209,0.6352507,0.002323854,0.02084127,0.1664095,0.1607129],"study_design_scores_gemma":[0.00007250342,0.00003831338,0.0008555625,0.00005999182,0.00001781656,0.00007025644,0.00006677034,0.9695538,0.001492171,0.005131255,0.02262278,0.00001873122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1048406,0.001321115,0.6459877,0.003413445,0.0009937549,0.001904881,0.07561129,0.0688448,0.09708256],"genre_scores_gemma":[0.3663419,0.001516539,0.4447761,0.0007514548,0.0001936123,0.002950137,0.1364364,0.009167496,0.03786636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03978962,"threshold_uncertainty_score":0.1280979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04932321226934093,"score_gpt":0.2505207851052801,"score_spread":0.2011975728359392,"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."}}