{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003895646,0.0005372838,0.001187059,0.002092785,0.001950704,0.003217625,0.00164904,0.003672237,0.350864],"category_scores_gemma":[0.03621933,0.0004342087,0.000741142,0.000676407,0.0006178634,0.001808241,0.002240412,0.001384363,0.2021514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000766276,"about_ca_system_score_gemma":0.003177459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220186,"about_ca_topic_score_gemma":0.00553179,"domain_scores_codex":[0.9924982,0.001163301,0.0006805579,0.0005337556,0.00448385,0.0006402841],"domain_scores_gemma":[0.9300538,0.003686917,0.001929917,0.002494847,0.05440959,0.007424919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001438058,0.00009884035,0.002586071,0.000478925,0.00001964162,0.0003476149,0.0000784205,0.00003765392,0.000568126,0.0001778906,0.9359919,0.05947114],"study_design_scores_gemma":[0.00009922297,0.0001580499,0.0239547,0.0005317688,0.0000322475,0.0006713939,0.0005787669,0.0003132959,0.001113862,0.0006205172,0.9718811,0.00004500521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03222691,0.007111641,0.002254113,0.1351081,0.177653,0.002232584,0.006492815,0.002606608,0.6343142],"genre_scores_gemma":[0.05313747,0.004428541,0.001980291,0.008583519,0.03147712,0.0004914833,0.003550949,0.0007525437,0.8955982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.350864,"threshold_uncertainty_score":0.9259138,"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."}}