{"id":"W2774279892","doi":"10.1016/j.apergo.2017.11.011","title":"Predictors of disability and absenteeism in workers with non-specific low back pain: A longitudinal 15-month study","year":2017,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Chiropractic Association; Université de Montréal; Research Canada; Institut Universitaire de Gériatrie de Montréal; Musée de la Civilisation; Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Absenteeism; Low back pain; Longitudinal study; Medicine; Physical therapy; Sick leave; Psychology; Alternative 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":[0.001484187,0.0006039162,0.0006794439,0.0009270943,0.001732363,0.001351777,0.0007774686,0.001720284,0.001232915],"category_scores_gemma":[0.003196876,0.00084267,0.001381304,0.001057466,0.0005629913,0.001311329,0.001266509,0.001906634,0.0006163638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007650954,"about_ca_system_score_gemma":0.0009239501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03339979,"about_ca_topic_score_gemma":0.03906015,"domain_scores_codex":[0.9990101,0.000232281,0.0000904011,0.0001841887,0.000141666,0.0003412756],"domain_scores_gemma":[0.9973238,0.0002896903,0.0007511079,0.0001683586,0.0004460875,0.001020988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000240262,0.0003628932,0.9983448,0.000006311928,0.00006245913,0.00008178855,0.0002472935,0.00002046721,0.0001560943,0.000004429584,0.00004561005,0.0004276538],"study_design_scores_gemma":[0.000004805127,0.0002695764,0.9990276,0.000003970029,0.00002563684,0.00004913042,0.0004571003,0.00005919013,0.00002087204,0.000005920292,0.00007143452,0.000004738027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993737,0.0001573621,0.00004565301,0.00004368222,0.00001387923,0.000009975086,0.0001861933,0.000002211868,0.0001673203],"genre_scores_gemma":[0.998747,0.0001059868,0.00004339888,0.00003039082,0.00001340431,0.00001747915,0.0004567329,0.000002201861,0.0005833154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03339979,"threshold_uncertainty_score":0.06641078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204745281240045,"score_gpt":0.2474222353395228,"score_spread":0.2353747825271223,"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."}}