{"id":"W2275729335","doi":"10.1093/pch/10.1.35","title":"Type 1 diabetes: New horizons in prediction and prevention","year":2005,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Type 2 diabetes; Diabetes mellitus; Medicine; Disease; Type 1 diabetes; Natural history; Bioinformatics; BETA (programming language); Beta cell; Intensive care medicine; Pathogenesis; Internal medicine; Endocrinology; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02334378,0.001466987,0.004013851,0.004247272,0.001061104,0.006658465,0.003242694,0.005560008,0.01029794],"category_scores_gemma":[0.03950662,0.0006924279,0.001300666,0.002367503,0.005530982,0.01840623,0.003833383,0.01046516,0.00220969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550818,"about_ca_system_score_gemma":0.0050694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007553894,"about_ca_topic_score_gemma":0.006724534,"domain_scores_codex":[0.9942225,0.003482573,0.0004474301,0.0004801488,0.00110829,0.0002590446],"domain_scores_gemma":[0.9619817,0.02737041,0.001363694,0.001490494,0.004578764,0.003214981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004208393,0.0002876894,0.01819711,0.002008985,0.0003042826,0.0003353878,0.0005044505,0.002274231,0.0002466715,0.07878429,0.130149,0.766487],"study_design_scores_gemma":[0.0001530501,0.000383077,0.01426057,0.007337186,0.0002442545,0.001200653,0.002789128,0.007625859,0.0001401035,0.6649992,0.3006274,0.0002395962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00301115,0.5227965,0.02541983,0.4326674,0.008019809,0.00006016695,0.0003897796,0.0002418203,0.0073936],"genre_scores_gemma":[0.07500686,0.7742162,0.04504875,0.04482567,0.05550014,0.0002428405,0.0006352086,0.00007855169,0.004445792],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02334378,"threshold_uncertainty_score":0.1234552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006073370537053788,"score_gpt":0.2421172683328213,"score_spread":0.2360438977957675,"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."}}