{"id":"W2905842643","doi":"10.1097/j.pain.0000000000001468","title":"Clustering a large Spanish sample of patients with fibromyalgia using the Fibromyalgia Impact Questionnaire–Revised: differences in clinical outcomes, economic costs, inflammatory markers, and gray matter volumes","year":2018,"lang":"en","type":"article","venue":"Pain","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Fibromyalgia; Anterior cingulate cortex; Psychology; Fusiform gyrus; Hierarchical clustering; Cluster analysis; Medicine; Psychiatry; Cognition; Computer science; Artificial intelligence","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":[0.002108056,0.0005367259,0.0007246773,0.001396311,0.0004090698,0.0004554303,0.0003743569,0.0004076303,0.001759556],"category_scores_gemma":[0.006639546,0.0001411676,0.0007598096,0.0008196095,0.0002787795,0.0002757706,0.0007498919,0.0002352053,0.0003538359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726419,"about_ca_system_score_gemma":0.0005037839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007739049,"about_ca_topic_score_gemma":0.006244099,"domain_scores_codex":[0.9991177,0.0004170361,0.00008943681,0.0001914445,0.00009865672,0.00008583289],"domain_scores_gemma":[0.9986088,0.0004956512,0.0002884146,0.0001928043,0.0003077953,0.0001065714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000775396,0.0001654361,0.97644,0.0001067219,0.000467046,0.0001820583,0.0009934889,0.0008611071,0.001290977,0.00005584115,0.0009043158,0.01775752],"study_design_scores_gemma":[0.0001233085,0.0002352427,0.9939208,0.00002768717,0.0001171415,0.0003162103,0.001905185,0.00245889,0.0001948671,0.000186433,0.0004951442,0.00001900949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987239,0.0001196124,0.0006833928,0.00004394869,0.000007769953,0.00005931452,0.0002374593,0.000005004011,0.0001194936],"genre_scores_gemma":[0.9979631,0.0001034572,0.0008212499,0.00004488842,0.00001620594,0.00008540613,0.0008348306,0.000006830982,0.000124109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007739049,"threshold_uncertainty_score":0.01538801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638571897156068,"score_gpt":0.3041954212105375,"score_spread":0.2878097022389768,"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."}}