{"id":"W2996671608","doi":"10.1080/1463922x.2019.1696422","title":"The effect of axial twist angle on <i>in vitro</i> cumulative injury load tolerance: a magnitude-weighting approach for axial twist exposures","year":2019,"lang":"en","type":"article","venue":"Theoretical Issues in Ergonomics Science","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Twist; Weighting; Structural engineering; Mathematics; Mechanics; Moment (physics); Magnitude (astronomy); Exponential function; Range of motion; Physics; Materials science; Mathematical analysis; Engineering; Geometry; Medicine; Surgery; Classical mechanics","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":[0.004191153,0.0001999024,0.0004683292,0.0001394518,0.0001089118,0.00004303696,0.0003728708,0.0001001462,0.00001426877],"category_scores_gemma":[0.001818477,0.0001258898,0.0001334914,0.0004216926,0.002627494,0.0001097378,0.00009577588,0.0002730179,0.00001019586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442598,"about_ca_system_score_gemma":0.000132098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003151997,"about_ca_topic_score_gemma":0.000003154178,"domain_scores_codex":[0.9978957,0.0002143176,0.0004965077,0.0005085924,0.0004354584,0.0004494677],"domain_scores_gemma":[0.9975312,0.001713627,0.0001160254,0.000434039,0.0001099995,0.00009509084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03357984,0.0007521959,0.01283216,0.001265718,0.00002714224,0.000002153423,0.005632706,0.001951196,0.3279528,0.5874363,0.00003894089,0.02852879],"study_design_scores_gemma":[0.01246097,0.01618982,0.04371975,0.001104843,0.00007172073,0.000005351327,0.001832171,0.3349764,0.5461681,0.04182699,0.0006116101,0.001032261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887677,0.0001789708,0.0003100447,0.0002427589,0.0003080538,0.001546399,0.000008438637,0.00001781387,0.008619824],"genre_scores_gemma":[0.9964399,0.00001589541,0.003138307,0.00006996049,0.000146038,0.00007926755,0.00000657586,0.00001716527,0.00008688742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5456094,"threshold_uncertainty_score":0.9681113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005815697953039835,"score_gpt":0.2942038740835602,"score_spread":0.2883881761305204,"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."}}