{"id":"W3109229054","doi":"10.1097/j.pain.0000000000002153","title":"Phenotypic profile clustering pragmatically identifies diagnostically and mechanistically informative subgroups of chronic pain patients","year":2020,"lang":"en","type":"article","venue":"Pain","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Dental and Craniofacial Research; National Institute of Neurological Disorders and Stroke","keywords":"Biopsychosocial model; Chronic pain; Medicine; Concordance; Cohort; Generalizability theory; Somatization; Population; Medical diagnosis; Physical therapy; Anxiety; Psychiatry; Psychology; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315286,0.0005377977,0.0006148316,0.00150018,0.0008309262,0.001469183,0.0006510809,0.0007033391,0.001725377],"category_scores_gemma":[0.01174586,0.0002091471,0.0007487155,0.0007299216,0.0003870787,0.0005249332,0.001609722,0.0007283103,0.0004887781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005418505,"about_ca_system_score_gemma":0.000930367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582692,"about_ca_topic_score_gemma":0.003182699,"domain_scores_codex":[0.998212,0.000887109,0.0001559058,0.000368121,0.0002579483,0.0001188974],"domain_scores_gemma":[0.997281,0.0009578512,0.0005541884,0.0004386253,0.0006115614,0.0001567229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369295,0.0003631449,0.9111594,0.0001638684,0.000367304,0.0002128781,0.0008205729,0.005765094,0.009077416,0.001185618,0.002599616,0.06691588],"study_design_scores_gemma":[0.0002560429,0.0005186895,0.8736508,0.0001178387,0.000208565,0.001127334,0.001190446,0.1136205,0.00317123,0.004146102,0.001902629,0.00008979907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733301,0.0001767725,0.02325564,0.0004347301,0.00003397027,0.0003766005,0.000733464,0.0001140134,0.001544588],"genre_scores_gemma":[0.9852945,0.00003230269,0.01325503,0.00007342707,0.0000167513,0.0001603908,0.0009284801,0.00001833229,0.0002206775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582692,"threshold_uncertainty_score":0.01224452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007407830276208,"score_gpt":0.2308479559756157,"score_spread":0.2207738776728537,"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."}}