{"id":"W4255562260","doi":"10.1016/j.jcjd.2013.02.003","title":"Screening for Type 1 and Type 2 Diabetes","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Type 2 diabetes; Type (biology); Diabetes mellitus; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007948985,0.0007883906,0.0008301202,0.003184731,0.001304441,0.000692288,0.0009168255,0.0009548404,0.006744603],"category_scores_gemma":[0.0020478,0.0003495629,0.0007193873,0.002599073,0.0003116856,0.0004434382,0.0003688927,0.0007244512,0.0008150199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163184,"about_ca_system_score_gemma":0.001680509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1142109,"about_ca_topic_score_gemma":0.1249008,"domain_scores_codex":[0.9990849,0.0001155092,0.00008384814,0.0001205407,0.0003321544,0.000263007],"domain_scores_gemma":[0.9990705,0.0001534704,0.0001396022,0.00004690727,0.0003247597,0.0002647989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006538182,0.0003712449,0.933052,0.0002831907,0.0001095469,0.003209851,0.0003802693,0.0001000055,0.002198716,0.0004283621,0.01162367,0.04758915],"study_design_scores_gemma":[0.00004760015,0.0004129573,0.9780136,0.0003095891,0.0001595103,0.005260447,0.0005699932,0.0003110036,0.001100065,0.0004128903,0.0133695,0.0000327298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121328,0.01818172,0.00171603,0.004510794,0.0006521053,0.0004482302,0.01000729,0.0001932508,0.05215779],"genre_scores_gemma":[0.9672444,0.006708792,0.003400277,0.002123268,0.0001898874,0.0001515154,0.003829153,0.00002421029,0.01632837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142109,"threshold_uncertainty_score":0.2270923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086431649368796,"score_gpt":0.2190641102263438,"score_spread":0.2081997937326558,"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."}}