{"id":"W3089892634","doi":"10.1080/24740527.2020.1820857","title":"Identifying cases of chronic pain using health administrative data: A validation study","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Pain","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Physiotherapy Foundation of Canada","keywords":"Chronic pain; Medicine; Confidence interval; Diagnosis code; Health care; Population; Anesthesiology; Medical record; Sample (material); Data mining; Physical therapy; Internal medicine; Psychiatry; Computer science; Environmental health","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":[0.00495126,0.00008525525,0.0003113572,0.0001727973,0.00008261476,0.00002016068,0.0001210959,0.00003200967,0.0000770972],"category_scores_gemma":[0.003741211,0.00007436133,0.00007151561,0.0002578842,0.00006139145,0.0001589782,0.000008829253,0.0001817453,9.581689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336448,"about_ca_system_score_gemma":0.004521055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771686,"about_ca_topic_score_gemma":0.01660568,"domain_scores_codex":[0.9977766,0.001147493,0.000563471,0.0001338716,0.0002130764,0.0001655009],"domain_scores_gemma":[0.9982983,0.0003268016,0.0003986702,0.0001755382,0.0001676473,0.0006329863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005915957,0.001344303,0.6268011,0.01489003,0.001915491,0.003073653,0.100385,0.001121188,0.04008199,0.0002931275,0.02806792,0.1814346],"study_design_scores_gemma":[0.01543393,0.09794004,0.448508,0.01238428,0.001174955,0.0007529898,0.3256341,0.08288879,0.00193707,0.0003547179,0.01156265,0.001428507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786844,0.001190985,0.01415929,0.005240171,0.0001336451,0.0005356222,0.00003123603,0.000004220225,0.00002045187],"genre_scores_gemma":[0.9978697,0.000006516638,0.001198564,0.0005734768,0.0003061847,7.353515e-7,0.00002591895,0.0000110688,0.000007793486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252491,"threshold_uncertainty_score":0.926636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957495111427995,"score_gpt":0.4079447186348227,"score_spread":0.2121952074920233,"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."}}