{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007646074,0.0002276312,0.0003724793,0.001047944,0.0005261653,0.0008280184,0.0003656761,0.0007768565,0.003930216],"category_scores_gemma":[0.006025689,0.0002680531,0.0004882845,0.001024483,0.0003146635,0.000389118,0.0006053697,0.001035441,0.0003014512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724329,"about_ca_system_score_gemma":0.0003610012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005403275,"about_ca_topic_score_gemma":0.006783372,"domain_scores_codex":[0.9993982,0.0002014689,0.00006641895,0.00007178389,0.0001556292,0.000106562],"domain_scores_gemma":[0.9967211,0.001122833,0.001261734,0.0001049884,0.0002288023,0.0005605168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004538506,0.00003354031,0.9990929,0.000008227609,0.0000144782,0.0000487087,0.00002537341,0.00001145802,0.00002295287,0.000004861563,0.00004756703,0.0006445824],"study_design_scores_gemma":[0.000006693177,0.0001029029,0.9991719,0.00001230977,0.0000203255,0.0002503604,0.0001670697,0.0001887566,0.000009711045,0.00001528932,0.00005272772,0.000001981181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975357,0.0009152334,0.00004721362,0.0002555923,0.00002596166,0.00001574794,0.0002190347,0.00000396509,0.0009815692],"genre_scores_gemma":[0.9994888,0.0001762328,0.00007137746,0.00003951703,0.00003711502,0.000007144123,0.0001078091,6.114199e-7,0.00007128473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005403275,"threshold_uncertainty_score":0.01314789,"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."}}