{"id":"W2102364600","doi":"10.2337/db06-0619","title":"CCL4 Protects From Type 1 Diabetes by Altering Islet β-Cell–Targeted Inflammatory Responses","year":2007,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Robarts Research Institute; Canadian Diabetes Association; Juvenile Diabetes Research Foundation International","keywords":"NOD mice; Nod; Spleen; Insulitis; CCL4; Type 1 diabetes; Islet; Immunology; Pancreas; Beta cell; CD8; Biology; Diabetes mellitus; Medicine; Internal medicine; Endocrinology; Immune system; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004034521,0.0002827356,0.0002414342,0.00006947254,0.0001257825,0.00006363411,0.0002741234,0.0002664421,0.00006536613],"category_scores_gemma":[0.0002906751,0.0002883353,0.0001113774,0.0001653372,0.00008877735,0.00001176295,0.0001384861,0.0001549968,0.00005843071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229335,"about_ca_system_score_gemma":0.00005241859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486889,"about_ca_topic_score_gemma":0.000007430924,"domain_scores_codex":[0.9982193,0.00008662249,0.0003001653,0.0004683196,0.0001881713,0.0007374907],"domain_scores_gemma":[0.9991484,0.0000884082,0.0001468722,0.0003699084,0.00009436104,0.0001520699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003778204,0.00008144374,0.07362095,0.00002324411,0.00009762731,0.000001476721,0.00003630497,0.000005338004,0.9156811,0.000002674079,0.008216875,0.002195143],"study_design_scores_gemma":[0.0005795102,0.0002317989,0.007769238,0.0000294706,0.00002135312,3.290813e-8,0.00007528519,0.00003199246,0.9431205,0.00009540045,0.04766229,0.0003831659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921101,0.006156885,0.00002158959,0.00007987217,0.0002702947,0.0002576195,0.0001321293,0.00007044528,0.0009010701],"genre_scores_gemma":[0.9973485,0.0001008779,0.0002343212,0.0006977252,0.0002270528,0.00002990761,0.0006400617,0.00006260379,0.0006588913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06585172,"threshold_uncertainty_score":0.9999569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00402237095276776,"score_gpt":0.2058849050552409,"score_spread":0.2018625341024732,"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."}}