{"id":"W3202433091","doi":"","title":"Pain and its predictive value for obesity and diabetes in primary care","year":2016,"lang":"en","type":"article","venue":"Lithuanian University of Health Sciences","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Predictive value; Medicine; Diabetes mellitus; Obesity; Value (mathematics); Internal medicine; Computer science; Family medicine; Endocrinology; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598773,0.00005640143,0.000237733,0.00009173747,0.0002132259,0.000002904113,0.00005149757,0.00002542318,0.000001511119],"category_scores_gemma":[0.00006776684,0.00004084457,0.00001783255,0.0001104694,0.0003775278,0.0001208703,0.00005230557,0.00002584859,2.208544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004184203,"about_ca_system_score_gemma":0.0001831089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116724,"about_ca_topic_score_gemma":0.0001044546,"domain_scores_codex":[0.999369,0.00006038696,0.00008302998,0.0001920198,0.0001080211,0.0001874882],"domain_scores_gemma":[0.999602,0.0001591073,0.00006051263,0.00004222834,0.00005374066,0.00008239524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004614101,0.00002803429,0.9685633,0.0006368237,0.000007930293,8.100146e-7,0.004622537,1.150477e-7,0.0001435227,0.0007815004,0.00008609999,0.02508325],"study_design_scores_gemma":[0.0008841526,0.0007927585,0.9894395,0.0003655003,0.00001348746,2.314396e-7,0.006359256,0.00005066837,0.00003003579,0.0001585856,0.001859996,0.00004580694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910544,0.005082726,0.00005014384,0.002501989,0.00004360127,0.0003538026,0.00003309094,0.00001064199,0.0008696541],"genre_scores_gemma":[0.9977199,0.000950909,0.0009577475,0.000220177,0.00001296429,4.135764e-7,0.000001022031,0.000001610189,0.0001352964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02503745,"threshold_uncertainty_score":0.1665593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502882252335349,"score_gpt":0.2416452572094142,"score_spread":0.2266164346860607,"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."}}