{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001562835,0.0005292771,0.0002609419,0.0002867485,0.0001484177,0.0003182209,0.0002351473,0.0002365396,0.00146073],"category_scores_gemma":[0.0001925069,0.00009878797,0.0001690814,0.0001259394,0.0002295861,0.0002318256,0.0001601738,0.0005597707,0.0002773733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075856,"about_ca_system_score_gemma":0.0002320454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002849656,"about_ca_topic_score_gemma":0.0003577871,"domain_scores_codex":[0.9998758,0.00002978183,0.00001070916,0.00001503245,0.00001846857,0.00005014694],"domain_scores_gemma":[0.9998606,0.00001949091,0.00005558384,0.00001494392,0.00001199969,0.00003733734],"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":[0.0003270656,0.0001245881,0.0002836738,0.00003391557,0.000004576619,0.00004687942,0.000009397314,0.00005890481,0.9968465,0.00006730182,0.00003809416,0.002159028],"study_design_scores_gemma":[0.0001298858,0.002076966,0.003792514,0.00001087127,0.00002792617,0.0002797025,0.0000235083,0.0004289988,0.9911848,0.00007611825,0.001962858,0.000005969062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969062,0.001052709,0.0007773725,0.0001228524,0.00003110409,0.00001615356,0.00008137061,0.00009485521,0.0009173814],"genre_scores_gemma":[0.9961869,0.0009880295,0.001103096,0.00007210371,0.00003220252,0.00002147617,0.0002130753,0.00002067935,0.001362442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146073,"threshold_uncertainty_score":0.004886627,"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."}}