{"id":"W2124172494","doi":"10.1016/j.clinbiomech.2004.11.008","title":"Differentiating lifting technique between those who develop low back pain and those who do not","year":2004,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Dalhousie University; University of New Brunswick","funders":"","keywords":"Principal component analysis; Kinematics; Trunk; Waveform; Physical medicine and rehabilitation; Mathematics; Low back pain; Body segment; Motion analysis; Computer science; Biomechanics; Statistics; Medicine; Artificial intelligence; Anatomy; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005096731,0.0002920109,0.000751567,0.000155228,0.0001550876,0.00005331598,0.0001519389,0.0005770011,0.00004268463],"category_scores_gemma":[0.006200682,0.0002314637,0.0002411232,0.0005363187,0.0001599162,0.00009228967,0.0001975055,0.0006417448,0.00005361607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000840985,"about_ca_system_score_gemma":0.0001653989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000127882,"about_ca_topic_score_gemma":0.000003577586,"domain_scores_codex":[0.9969806,0.0004618227,0.001165766,0.0006456556,0.0003311627,0.0004149644],"domain_scores_gemma":[0.9969388,0.001738165,0.0002877217,0.0004518897,0.0002059504,0.0003774463],"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":[0.0001708741,0.0007117702,0.0255768,0.004144375,0.0002364196,0.00001793004,0.0009955262,9.507727e-7,0.06375591,0.002617715,0.0004357409,0.901336],"study_design_scores_gemma":[0.04207983,0.02759021,0.5038111,0.1030892,0.001360588,0.00006277257,0.004802165,0.01462396,0.1656723,0.1088355,0.02040861,0.007663704],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771696,0.0003473808,0.1173998,0.002653684,0.0003016984,0.001599542,0.00002262772,0.0002121469,0.0002934517],"genre_scores_gemma":[0.9586291,0.0004247422,0.03849522,0.001494538,0.0005627843,0.00004580507,0.00007046462,0.000061869,0.0002154743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8936723,"threshold_uncertainty_score":0.9438816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449410841995677,"score_gpt":0.35785644667306,"score_spread":0.3133623382531033,"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."}}