{"id":"W7020743302","doi":"","title":"MAPPING OF SCREENING STRATEGIES DEVELOPED IN BRAZIL, CANADA AND THE UNITED KINGDOM FOR TYPE 2 DIBETES MELLITUS / MAPEAMENTO DE ESTRATÉGIAS DE RASTREAMENTO DESENVOLVIDAS NO BRASIL, CANADÁ E REINO UNIDO PARA DIBETES MELLITUS TIPO 2","year":2022,"lang":"pt","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Kingdom; MEDLINE; Guideline","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":[0.02916558,0.0009225488,0.001859823,0.0157743,0.002456282,0.004849359,0.002495643,0.001028744,0.006775136],"category_scores_gemma":[0.09716065,0.0007144787,0.002411691,0.02293395,0.001455453,0.001874891,0.003610033,0.001091937,0.0008547406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03914336,"about_ca_system_score_gemma":0.2022015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8685853,"about_ca_topic_score_gemma":0.91056,"domain_scores_codex":[0.9840662,0.005902558,0.00281567,0.001832915,0.003328386,0.002054171],"domain_scores_gemma":[0.9279723,0.02002252,0.008164746,0.003453065,0.0378442,0.002543182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001573805,0.0001967708,0.2258513,0.07032288,0.002567762,0.0007572873,0.02808405,0.002610422,0.003628579,0.03405567,0.06018957,0.5701619],"study_design_scores_gemma":[0.0003893531,0.0003749814,0.5946907,0.07788043,0.008123761,0.0006765848,0.02929049,0.002197619,0.005606699,0.006377946,0.274089,0.0003022798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2831089,0.292511,0.04274241,0.05034022,0.001806257,0.02302847,0.1581401,0.001427572,0.1468951],"genre_scores_gemma":[0.7789456,0.08737062,0.08355135,0.005673194,0.00008152642,0.009515974,0.02485099,0.0003163882,0.0096944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1314147,"threshold_uncertainty_score":0.2840063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847006234949144,"score_gpt":0.2894774152680425,"score_spread":0.251007352918551,"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."}}