{"id":"W2237736831","doi":"10.5539/mas.v10n1p76","title":"Ergonomic Knob Design Validation for Improved Musculoskeletal Comfort","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replica; Computer science; Pinch; SAFER; Mechanical engineering; Simulation; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002805844,0.0013258,0.000444288,0.0006718228,0.0003212175,0.0004988717,0.000781088,0.0006529406,0.003129337],"category_scores_gemma":[0.008422004,0.0003610964,0.0004087977,0.0002592398,0.0004704464,0.0005158923,0.0006849768,0.0002335348,0.0006383562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374324,"about_ca_system_score_gemma":0.0005355605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007603253,"about_ca_topic_score_gemma":0.0008989464,"domain_scores_codex":[0.9971624,0.001374558,0.00024137,0.0002397892,0.0008290873,0.0001526922],"domain_scores_gemma":[0.995138,0.001435925,0.0005649775,0.0004735452,0.002225616,0.0001618858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005056396,0.001289314,0.01323403,0.002716793,0.00008593602,0.0005047685,0.001628161,0.008638779,0.8441537,0.0006646161,0.001078369,0.1209491],"study_design_scores_gemma":[0.0007507172,0.04729298,0.1687465,0.001265596,0.0005521165,0.002547111,0.003056989,0.04030742,0.7046243,0.0009791558,0.02953514,0.0003420563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753982,0.0008075088,0.1188808,0.0001179004,0.0002573517,0.001232951,0.0002944435,0.0004397393,0.002571099],"genre_scores_gemma":[0.929719,0.0002631292,0.06737948,0.00006969384,0.00002053759,0.0004706708,0.0001894822,0.00006753077,0.001820498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003129337,"threshold_uncertainty_score":0.01483887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798189196535254,"score_gpt":0.2474261961343235,"score_spread":0.209444304168971,"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."}}