{"id":"W2019979646","doi":"10.1016/j.immuni.2010.04.003","title":"The Long and Winding Road to Understanding and Conquering Type 1 Diabetes","year":2010,"lang":"en","type":"article","venue":"Immunity","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Biology; Context (archaeology); Type 1 diabetes; Population; Salient; Immune system; Immunology; Beta cell; Focus (optics); Diabetes mellitus; Bioinformatics; Genetics; Medicine; Islet; Endocrinology; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294682,0.00006710119,0.00005707951,0.00001295229,0.0003260918,0.00008081822,0.00007619578,0.00006032765,0.000003013911],"category_scores_gemma":[0.0001483448,0.00005375647,0.00001290219,0.00004663586,0.00007915169,0.000003474025,0.0001368363,0.0001181938,0.000001293345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000542591,"about_ca_system_score_gemma":0.00001124384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003383742,"about_ca_topic_score_gemma":0.0002424093,"domain_scores_codex":[0.9996068,0.00002434424,0.00006123384,0.00009926558,0.00003635686,0.0001719603],"domain_scores_gemma":[0.9997423,0.00002913848,0.00002377381,0.0001362689,0.0000165522,0.00005199498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001577127,0.00001474681,0.1577311,0.000009938083,0.00007433393,3.748751e-7,0.0001701085,0.000003125216,0.825604,0.0007435983,0.0002370355,0.0153959],"study_design_scores_gemma":[0.001674177,0.0007336116,0.7274125,0.00008866636,0.00008070889,0.000006977473,0.005236235,0.0002920401,0.2238821,0.003401219,0.03613875,0.001053041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979427,0.0007016558,0.00002445861,0.0002538284,0.0001498714,0.00006543605,0.000002274871,0.000007243334,0.0008525118],"genre_scores_gemma":[0.9995604,0.0001459825,0.00003672307,0.0001141457,0.00003080505,0.000002509105,0.000007847139,0.000008532839,0.0000931122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6017219,"threshold_uncertainty_score":0.2508067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101710594090807,"score_gpt":0.2386377813434056,"score_spread":0.2276206754024975,"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."}}