{"id":"W2150781209","doi":"10.1080/00140130118541","title":"An evaluation of predictive methods for estimating cumulative spinal loading","year":2001,"lang":"en","type":"article","venue":"Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Waterloo; AUTO21 Network of Centres of Excellence; Australian Government; McGill University","keywords":"Sagittal plane; Computer science; Task (project management); Statistics; Mathematics; Simulation; Structural engineering; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01529299,0.001723356,0.0009655764,0.003193186,0.0005521802,0.001490014,0.001928781,0.001429764,0.001923673],"category_scores_gemma":[0.0738893,0.0005013874,0.0006390026,0.001659245,0.0006645768,0.0015781,0.001236564,0.001331274,0.0005744633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008979184,"about_ca_system_score_gemma":0.001328097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006996096,"about_ca_topic_score_gemma":0.004071677,"domain_scores_codex":[0.9934368,0.003173103,0.0003347024,0.000642499,0.002244493,0.0001683953],"domain_scores_gemma":[0.8900694,0.09651457,0.003413134,0.002678829,0.006964706,0.0003593366],"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":[0.001979626,0.0003797711,0.03629032,0.0005021491,0.0004020891,0.0001597824,0.0002423908,0.2994,0.00534097,0.00437353,0.001143084,0.6497862],"study_design_scores_gemma":[0.00005081846,0.0003310737,0.008718612,0.00009171764,0.00009715661,0.0001663899,0.00007464602,0.9845969,0.00359518,0.001637498,0.0005862907,0.0000536561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1018325,0.001886507,0.8916405,0.0003035975,0.0001165726,0.0002206867,0.0003010041,0.001796268,0.001902379],"genre_scores_gemma":[0.6751334,0.001210255,0.3206895,0.0001446114,0.0001383141,0.0003308911,0.0006878272,0.0002339003,0.001431226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01529299,"threshold_uncertainty_score":0.08087802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06583462196407754,"score_gpt":0.4491348354928221,"score_spread":0.3833002135287445,"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."}}