{"id":"W4399805381","doi":"10.25144/22727","title":"FLOOR IMPACT NOISE AND FOOT SIMULATORS","year":2024,"lang":"en","type":"article","venue":"","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Foot (prosody); Noise (video); Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004942222,0.00006522568,0.00009549421,0.00003393828,0.00001801418,0.00002820403,0.0000162978,0.00002707032,0.001656626],"category_scores_gemma":[0.000004762676,0.00003881031,0.00004752076,0.00006690618,0.0000235643,0.00006552206,0.00001691505,0.00007441632,0.0000790011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001459382,"about_ca_system_score_gemma":0.00003192577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006214268,"about_ca_topic_score_gemma":0.000003222187,"domain_scores_codex":[0.9996432,0.000001231601,0.0000828476,0.0001050921,0.00006487612,0.0001027197],"domain_scores_gemma":[0.9997827,0.000008507356,0.000005020485,0.0001033309,0.00001142095,0.00008906169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000635354,0.0001311976,0.4352222,0.001277825,0.0005408461,0.0006688765,0.002733616,0.00006150729,0.002643126,0.00243701,0.151752,0.4018964],"study_design_scores_gemma":[0.0008727375,0.001170118,0.4805382,0.0004192186,0.0001553546,0.0003669119,0.0001516992,0.06002551,0.003727189,0.0002017154,0.45208,0.0002914098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834645,0.001053207,0.00009686089,0.0007191363,0.0002356969,0.00007131738,0.000003459192,0.00009691208,0.01425884],"genre_scores_gemma":[0.9889442,0.00006205256,0.000170761,0.0003161019,0.0002237012,0.000001223437,0.000003327712,0.00001007596,0.01026859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.401605,"threshold_uncertainty_score":0.999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008133530641582181,"score_gpt":0.3135732241836989,"score_spread":0.3054396935421167,"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."}}