{"id":"W2032779131","doi":"10.1002/ejp.681","title":"A population‐based, incidence cohort study of mid‐back pain after traffic collisions: Factors associated with global recovery","year":2015,"lang":"en","type":"article","venue":"European Journal of Pain","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Alberta; Toronto Rehabilitation Institute; Public Health Ontario; University of Toronto","funders":"University of Saskatchewan","keywords":"Incidence (geometry); Medicine; Cohort; Population; Physical medicine and rehabilitation; Demography; Internal medicine; Environmental health; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01291538,0.0001635228,0.000443539,0.0001471095,0.00003370496,0.00001863754,0.0001169761,0.00003565403,0.00005082081],"category_scores_gemma":[0.006728984,0.0001076169,0.0001502468,0.000457581,0.00005262921,0.0001323501,0.00001657112,0.0002008159,0.000006331391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281744,"about_ca_system_score_gemma":0.0001762523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002408755,"about_ca_topic_score_gemma":0.00006658716,"domain_scores_codex":[0.9927791,0.00535991,0.0007738912,0.0001629586,0.0007680302,0.0001561243],"domain_scores_gemma":[0.9977384,0.0006105918,0.0006285667,0.0002105499,0.0005560865,0.0002558053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006583494,0.0008900225,0.9918901,0.00006777227,0.0001612704,0.00009484773,0.0008548968,0.002777671,0.00004009814,2.772772e-7,0.0008067681,0.001757926],"study_design_scores_gemma":[0.002929835,0.008284945,0.9846294,0.0009879821,0.0001083812,0.000004661169,0.002116085,0.0007615145,0.000002774358,0.000005823144,0.00005473795,0.0001138444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974355,0.000105,0.001457431,0.0001541534,0.0001209646,0.0005283969,0.000007117772,0.00001498552,0.0001765042],"genre_scores_gemma":[0.9987292,0.000002066258,0.0009022051,0.0001797572,0.00007209757,0.000001833911,0.00001751621,0.00002360657,0.00007172092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007394922,"threshold_uncertainty_score":0.8055709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458713961580009,"score_gpt":0.2726776771007563,"score_spread":0.2480905374849562,"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."}}