{"id":"W4282969821","doi":"10.1016/j.jbiomech.2022.111182","title":"Clothing condition does not affect meaningful clinical interpretation in markerless motion capture","year":2022,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motion capture; Gait; Kinematics; Forearm; Physical medicine and rehabilitation; Ankle; Thigh; Mathematics; Motion (physics); Medicine; Computer science; Artificial intelligence; Anatomy; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001959417,0.00009560667,0.0003006471,0.0003349816,0.0000657408,0.00001614246,0.00008757377,0.00007684452,0.0002626643],"category_scores_gemma":[0.0002043946,0.00007459892,0.0001952732,0.0002319135,0.00001526195,0.0001585785,0.00004942542,0.0005860053,0.000001966439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855318,"about_ca_system_score_gemma":0.00006898164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001933452,"about_ca_topic_score_gemma":0.00002968207,"domain_scores_codex":[0.9984289,0.0002416449,0.0006589741,0.0001309136,0.0004067062,0.0001328999],"domain_scores_gemma":[0.9991544,0.00009885133,0.0004982637,0.00009566665,0.00008180687,0.00007100037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01382994,0.003564253,0.02592284,0.0007771883,0.0007877814,0.001034217,0.01084835,0.0004949545,0.2354063,0.003434332,0.005253527,0.6986462],"study_design_scores_gemma":[0.09093483,0.01931903,0.08589926,0.004745336,0.003155329,0.003905344,0.1135182,0.5231572,0.0634231,0.05245864,0.03639085,0.00309287],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862022,0.0001656424,0.009543207,0.001992206,0.001638873,0.0002531033,0.00001414067,0.00001386512,0.0001768044],"genre_scores_gemma":[0.9977581,0.0001004349,0.0002998748,0.001572337,0.0001168544,0.000004558907,0.00002726553,0.00001383317,0.0001067597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6955534,"threshold_uncertainty_score":0.3042056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009292854327972,"score_gpt":0.3238209886587547,"score_spread":0.303728060115475,"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."}}