{"id":"W4293199804","doi":"10.17077/dhm.31744","title":"Identifying the best objective function weightings to predict comfortable motorcycle riding postures","year":2022,"lang":"en","type":"article","venue":"","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Percentile; Gold standard (test); Computer science; Simulation; Statistics; Mathematics","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":[0.007918481,0.001428336,0.00121681,0.002668538,0.0002765128,0.001502948,0.0007180109,0.000865953,0.001340638],"category_scores_gemma":[0.01861489,0.0006277852,0.002157573,0.001449975,0.0003210595,0.001120939,0.0006244164,0.0005071142,0.0004085053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274473,"about_ca_system_score_gemma":0.001546001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006814551,"about_ca_topic_score_gemma":0.007518426,"domain_scores_codex":[0.9982033,0.0007589479,0.0002536715,0.0001916326,0.0005035435,0.00008879251],"domain_scores_gemma":[0.9933043,0.004319651,0.0007674485,0.0001713291,0.00138727,0.00004997224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006745,0.0002524891,0.05532345,0.02424564,0.001536455,0.0002865736,0.001228055,0.3045419,0.01808078,0.003404518,0.003679789,0.5867459],"study_design_scores_gemma":[0.0001939744,0.003243975,0.1720134,0.01616264,0.004566339,0.0006161205,0.004261687,0.7079037,0.04295015,0.01148089,0.03616328,0.000443799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4337573,0.03810871,0.5088157,0.0009675456,0.0001691742,0.0009664187,0.003066499,0.0008011472,0.01334751],"genre_scores_gemma":[0.8351709,0.01053629,0.1487056,0.000138418,0.00002682849,0.001128176,0.001629678,0.0001489017,0.002515244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007918481,"threshold_uncertainty_score":0.04187739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647284125809287,"score_gpt":0.2829349821219209,"score_spread":0.266462140863828,"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."}}