{"id":"W6945038943","doi":"10.21227/2c3b-0t39","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; Ankle; Ground reaction force; Exoskeleton; Kinematics; Joint (building); Work (physics)","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":[0.0002057964,0.000428736,0.0002764806,0.0004495386,0.0002248835,0.0002066675,0.0002287022,0.0003540596,0.00183761],"category_scores_gemma":[0.0005573651,0.0001607368,0.0001893865,0.0002898031,0.0002255292,0.0001526098,0.0002571866,0.0001402304,0.0004239546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004749513,"about_ca_system_score_gemma":0.0001187137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009295554,"about_ca_topic_score_gemma":0.002160975,"domain_scores_codex":[0.999832,0.0000434323,0.00001286304,0.00003511307,0.00005898687,0.00001748031],"domain_scores_gemma":[0.9997321,0.0000752912,0.00003860372,0.00002145643,0.0001018679,0.00003065898],"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":[0.001078642,0.0002545799,0.05239509,0.000684351,0.0001572585,0.000394558,0.0009416561,0.001656284,0.833421,0.0001447443,0.0005160164,0.1083558],"study_design_scores_gemma":[0.00008362631,0.003183428,0.9104263,0.00007562562,0.0002061898,0.001988154,0.0007139654,0.009670949,0.07217801,0.0002030832,0.001209078,0.00006162613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9761063,0.0002669583,0.02200616,0.00002862913,0.00001258246,0.00005450618,0.0004479966,0.00007669893,0.001000152],"genre_scores_gemma":[0.9889495,0.0002360225,0.009474661,0.00003617742,0.00001432193,0.00008263068,0.0004346618,0.00001549234,0.0007566008],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.00183761,"threshold_uncertainty_score":0.006147444,"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."}}