{"id":"W6963644781","doi":"10.21227/gp0w-zm83","title":"Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biomechanics; Inverse dynamics; Ground reaction force; Ankle; Kinematics; Work (physics); Joint (building); Exoskeleton; Torque","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":[],"consensus_categories":[],"category_scores_codex":[0.0002314897,0.0004737827,0.0002872427,0.0004344532,0.0001950488,0.0002108006,0.0001951813,0.0003490118,0.001550334],"category_scores_gemma":[0.0006576304,0.0001861865,0.0001663724,0.0002772572,0.0002313913,0.0001568471,0.000247422,0.0001546648,0.0003650881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004821861,"about_ca_system_score_gemma":0.000124572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008046707,"about_ca_topic_score_gemma":0.001893191,"domain_scores_codex":[0.9998243,0.00004561883,0.00001254306,0.00004199543,0.00005671229,0.00001881813],"domain_scores_gemma":[0.9997522,0.00007548791,0.00003574424,0.00002325614,0.00008360963,0.00002960181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008436224,0.0001898616,0.03929253,0.0004701259,0.0001053115,0.0002362835,0.0006748608,0.001497346,0.8799815,0.0001333326,0.0002741679,0.07630098],"study_design_scores_gemma":[0.0001027181,0.00366099,0.8845955,0.00005744929,0.0002101538,0.001676868,0.000629737,0.01241094,0.09506997,0.0002419744,0.001278886,0.00006487873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.975251,0.0002366125,0.0229199,0.00002352292,0.000009849411,0.00006298122,0.0004130484,0.00009193089,0.0009911328],"genre_scores_gemma":[0.9884957,0.0002370029,0.009861191,0.00002938766,0.00001445606,0.0001053579,0.0004563159,0.00001713629,0.000783368],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001550334,"threshold_uncertainty_score":0.005186439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1928023799746962,"score_gpt":0.3649750820033652,"score_spread":0.1721727020286691,"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."}}