{"id":"W6963357513","doi":"10.21227/404y-8f97","title":"Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics","year":2019,"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; Sitting; Movement (music); Work (physics); Kinematics; Human arm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01151162,0.0004447664,0.0006493157,0.0005250062,0.0001467929,0.00009516099,0.0003461554,0.0002373473,0.0001192859],"category_scores_gemma":[0.0001981664,0.0004609115,0.00004542177,0.00022606,0.00007314812,0.0002788353,0.0003340009,0.0002830834,0.00009761901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394729,"about_ca_system_score_gemma":0.0002779654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004161095,"about_ca_topic_score_gemma":0.0002950467,"domain_scores_codex":[0.9942444,0.0002131234,0.0008563342,0.0008442377,0.003481817,0.0003600938],"domain_scores_gemma":[0.9966847,0.000025808,0.001172336,0.001337901,0.0006562498,0.0001229491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001821917,0.00008916672,0.00007199922,0.0006621249,0.0002401336,0.000004226395,0.00003920388,0.000005702153,0.09563308,0.000005011909,0.9027472,0.0004839403],"study_design_scores_gemma":[0.00731143,0.0009912784,0.0008739525,0.004530132,0.007545756,0.00003138221,0.0008500413,0.004414055,0.03670113,0.0006841834,0.933419,0.002647698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01953996,0.0005980831,0.00002912866,0.000003762353,0.0004589247,0.001332843,0.9779935,0.0000225091,0.00002125533],"genre_scores_gemma":[0.01710835,0.00009975897,0.00004472764,0.00002933071,0.0001159735,0.00004390807,0.9824839,0.00006880771,0.000005265734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05893196,"threshold_uncertainty_score":0.9997843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2074240542356683,"score_gpt":0.3790498061243915,"score_spread":0.1716257518887232,"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."}}