{"id":"W2990926592","doi":"10.1177/1071181319631444","title":"Comparison of Video-Based and Traditional Physical Demands Description Methods","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Standardization; Computer science; Joint (building); Motion (physics); Task (project management); Motion capture; Envelope (radar); Field (mathematics); Artificial intelligence; Computer vision; Mathematics; Engineering","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":[0.007249117,0.0005804086,0.0003398082,0.003074101,0.0002181936,0.001029071,0.001152434,0.0005315234,0.003500784],"category_scores_gemma":[0.02665894,0.0003029786,0.0003970607,0.001340037,0.0002592643,0.001228922,0.001155048,0.0003061129,0.000717352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007623786,"about_ca_system_score_gemma":0.000603769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002775143,"about_ca_topic_score_gemma":0.006237814,"domain_scores_codex":[0.991645,0.003611004,0.0009257385,0.0007817667,0.002829852,0.0002065912],"domain_scores_gemma":[0.9757357,0.01207826,0.002113161,0.00120989,0.00832208,0.0005408935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005906993,0.001006846,0.07329456,0.002709008,0.0004506139,0.000235414,0.003118309,0.003878288,0.02933745,0.001099951,0.003495249,0.8754674],"study_design_scores_gemma":[0.001874695,0.009980576,0.8097408,0.001610902,0.0007760552,0.002074501,0.008437615,0.07935786,0.0515557,0.002876509,0.0310569,0.0006579395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913888,0.002640196,0.1793958,0.0003155125,0.0003782873,0.003265391,0.002950212,0.000799946,0.01886596],"genre_scores_gemma":[0.794527,0.001841265,0.1908557,0.0003292068,0.0002136097,0.003205033,0.002291267,0.0001460745,0.006590868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007249117,"threshold_uncertainty_score":0.03833747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746499324414445,"score_gpt":0.3232723529942729,"score_spread":0.2858073597501285,"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."}}