{"id":"W2082036056","doi":"10.1155/2014/470242","title":"RhD Specific Antibodies Are Not Detectable in HLA-DRB1<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:mrow><mml:mn fontstyle=\"italic\">1501</mml:mn></mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">*</mml:mi></mml:mrow></mml:mrow></mml:math>Mice Challenged with Human RhD Positive Erythrocytes","year":2014,"lang":"lv","type":"article","venue":"Advances in Hematology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Blood Services; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Government of Canada; Canadian Blood Services; Australian Government","keywords":"Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843868,0.000224654,0.0002528727,0.0003102997,0.0001078786,0.0003585893,0.0002411845,0.0004239033,0.006485384],"category_scores_gemma":[0.0002019965,0.0002111307,0.0002262123,0.0001173556,0.0001722796,0.0002078774,0.0002103341,0.001084812,0.001678932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972728,"about_ca_system_score_gemma":0.00008938069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003654005,"about_ca_topic_score_gemma":0.0004345271,"domain_scores_codex":[0.9997264,0.0000317991,0.00003237925,0.00008842389,0.00005421589,0.0000667288],"domain_scores_gemma":[0.9996582,0.00008728365,0.00008661688,0.00004919351,0.00002871647,0.00008995433],"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":[0.00009587374,0.00007516889,0.0004883924,0.00002942909,0.000007928592,0.00008023219,0.00001497258,0.000008537753,0.9982261,0.0001003912,0.0001305478,0.0007423988],"study_design_scores_gemma":[0.00003879609,0.0008503174,0.02113206,0.00002079625,0.00003696498,0.001788121,0.00005615069,0.0003866019,0.9683197,0.0001240717,0.007239194,0.000007287282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990104,0.0007479975,0.002903,0.0001750617,0.000092533,0.000037281,0.0009774696,0.0001129829,0.004849553],"genre_scores_gemma":[0.9821102,0.0005963281,0.002130695,0.0003999268,0.00003034631,0.00006194073,0.002630275,0.00008035824,0.01196001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006485384,"threshold_uncertainty_score":0.02169573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447473058412048,"score_gpt":0.2451887563608822,"score_spread":0.2307140257767618,"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."}}