{"id":"W1987549744","doi":"10.1016/j.jbiomech.2010.08.028","title":"Predictive equations to estimate spinal loads in symmetric lifting tasks","year":2010,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Sagittal plane; Compression (physics); Finite element method; Regression analysis; Structural engineering; Statistics; Engineering; Materials science; Medicine; Anatomy","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":[0.0009692208,0.0005782243,0.0006211879,0.0006067152,0.0003250972,0.0006537087,0.000849278,0.0007232019,0.001537366],"category_scores_gemma":[0.005564558,0.0006851605,0.0004440975,0.0005268787,0.000265093,0.0007189637,0.0005067982,0.001034761,0.0003852577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117529,"about_ca_system_score_gemma":0.0009006354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012093,"about_ca_topic_score_gemma":0.01304056,"domain_scores_codex":[0.9997572,0.00005919558,0.00002241018,0.00004915407,0.00008538687,0.00002667714],"domain_scores_gemma":[0.9980095,0.001470443,0.0001087554,0.00007561174,0.0003151649,0.0000205569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008905715,0.00008526768,0.002484658,0.00005254332,0.00003546958,0.00004170706,0.00004878031,0.8880392,0.00204872,0.002343227,0.0006251174,0.1041062],"study_design_scores_gemma":[0.000003080573,0.000006034203,0.0003588916,0.000002907062,0.000004794023,0.000003294855,0.000001489812,0.9990237,0.0002484657,0.0003057921,0.00003919761,0.000002306431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05994574,0.000283075,0.9381151,0.00008577207,0.00005776544,0.0000496351,0.00009238386,0.000572355,0.0007982642],"genre_scores_gemma":[0.8985691,0.0003311701,0.09758554,0.00006136105,0.00004559709,0.0002074761,0.0002433737,0.00008854752,0.002867738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02012093,"threshold_uncertainty_score":0.04000759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385771679513441,"score_gpt":0.3355207334340353,"score_spread":0.3216630166389009,"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."}}