{"id":"W2969603924","doi":"10.1126/scitranslmed.aau8217","title":"Treating murine inflammatory diseases with an anti-erythrocyte antibody","year":2019,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Canadian Blood Services","keywords":"Antibody; Medicine; Immunology; Inflammation","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":[0.0001927185,0.000178816,0.0003460036,0.0002545939,0.0001774975,0.00001532848,0.0001216014,0.00002597297,0.0005121299],"category_scores_gemma":[0.00002906584,0.0001115229,0.00003276506,0.0006078932,0.0006834124,0.0005337594,0.00000817345,0.00009793376,0.0000479429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003279772,"about_ca_system_score_gemma":0.0003506219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004710101,"about_ca_topic_score_gemma":0.0000143447,"domain_scores_codex":[0.99809,0.00001400745,0.0002256592,0.0004308601,0.0009239606,0.0003154751],"domain_scores_gemma":[0.9991518,0.00005678783,0.00006860751,0.0002705285,0.0001545692,0.0002977628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003566259,0.0002916895,0.9595806,0.00008541524,0.00005006045,0.0002395386,0.0005513956,0.0001514337,0.03285369,0.001102418,0.00001075346,0.00472637],"study_design_scores_gemma":[0.005812671,0.001291954,0.9878433,0.0003478561,0.0001298854,0.0002431497,0.0002759517,0.002561997,0.0007300208,0.0003300906,0.0002675194,0.000165609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919561,0.0003155531,0.0001519713,0.001788184,0.0001017092,0.0004473261,0.00001129846,0.00007636755,0.005151483],"genre_scores_gemma":[0.9983177,0.00003096228,0.0008611024,0.0002708912,0.0001158625,0.000007569867,0.0001711114,0.0000156373,0.0002091206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212367,"threshold_uncertainty_score":0.5607464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069209286504033,"score_gpt":0.3003346148709862,"score_spread":0.2896425220059459,"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."}}