{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128644,0.0001624374,0.0002440198,0.0007209757,0.001286282,0.001113964,0.0005632958,0.0005001206,0.004018213],"category_scores_gemma":[0.002834834,0.0001556393,0.0004389154,0.001689627,0.0003871636,0.0006058161,0.0005601672,0.0005501395,0.0003511586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01604989,"about_ca_system_score_gemma":0.01859065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684304,"about_ca_topic_score_gemma":0.9888741,"domain_scores_codex":[0.9992999,0.00005931834,0.00003923149,0.00009732322,0.0003270527,0.0001772889],"domain_scores_gemma":[0.9977605,0.0001456231,0.0005198221,0.0001144378,0.001007702,0.0004518804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001475103,0.00003436913,0.9712386,0.00007231921,0.00006978329,0.000176203,0.0005868337,0.0002639201,0.0004145252,0.001178328,0.01276072,0.01305692],"study_design_scores_gemma":[0.00001731621,0.00001605644,0.9882327,0.00004068024,0.0000250233,0.00007590443,0.0005761036,0.0003580281,0.00009488063,0.000186326,0.01036671,0.00001023551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892474,0.003870769,0.0008450519,0.02464502,0.0003632901,0.00006185454,0.01903504,0.0002085231,0.06172317],"genre_scores_gemma":[0.9900758,0.001346764,0.0003188818,0.001353061,0.00007623398,0.00001507098,0.002613038,0.00001748111,0.004183689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0315696,"threshold_uncertainty_score":0.1164507,"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."}}