{"id":"W2602105601","doi":"10.1056/jw200703200000006","title":"Increase in Diabetes in Ontario Far Exceeds Recent Predictions","year":2007,"lang":"en","type":"article","venue":"Journal watch","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Obesity; Demography; Population; Gerontology; Environmental health; Internal medicine; Endocrinology","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":[0.002338247,0.000165163,0.0004686562,0.0003635748,0.00009196508,0.0000383956,0.0001071219,0.0001488335,0.00033308],"category_scores_gemma":[0.0002314796,0.0001405126,0.0002386026,0.0004407031,0.00004381109,0.000170179,0.00003687583,0.001161261,0.00003505673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242041,"about_ca_system_score_gemma":0.0003255286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1363218,"about_ca_topic_score_gemma":0.5298886,"domain_scores_codex":[0.998118,0.00007739966,0.0005690025,0.0002004725,0.0005027691,0.0005323259],"domain_scores_gemma":[0.9991183,0.00005427528,0.00008863876,0.0002634543,0.000119423,0.0003559654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001495782,0.0004884916,0.828441,0.00002901097,0.0001682861,0.0006080931,0.001397046,0.00006405333,0.000325979,0.000006346967,0.002152843,0.1661693],"study_design_scores_gemma":[0.002463007,0.0001886453,0.8086033,0.0002109387,0.00008578728,0.0001352451,0.0002363616,0.00003699015,0.0006367221,0.000375158,0.1868977,0.0001301713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991595,0.00123202,0.0001038022,0.002560154,0.0004577241,0.0003105721,0.000001195079,0.00002645248,0.003713134],"genre_scores_gemma":[0.9951686,0.00139146,0.0009013438,0.0004444306,0.0005612745,0.00001402664,0.00001198392,0.00002832631,0.001478549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3935669,"threshold_uncertainty_score":0.8694295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513904540684322,"score_gpt":0.2469096406674987,"score_spread":0.2317705952606554,"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."}}