{"id":"W3024072615","doi":"10.21307/immunohematology-2019-016","title":"A LU:−16 individual with antibodies","year":2017,"lang":"en","type":"article","venue":"Immunohematology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Antibody; Computational biology; Biology; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000830171,0.0001208144,0.0003500625,0.00005435283,0.0003180715,0.00003723713,0.0001716002,0.0001062791,0.0001237663],"category_scores_gemma":[0.00003098152,0.0000823764,0.0000534252,0.00002498776,0.0002958094,0.00009006911,0.0000618429,0.0001739324,0.00006584105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007436885,"about_ca_system_score_gemma":0.0000477602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824263,"about_ca_topic_score_gemma":0.00006591882,"domain_scores_codex":[0.9993002,0.000013479,0.0001396896,0.0001888192,0.0001286171,0.0002292423],"domain_scores_gemma":[0.9991667,0.00002436305,0.00008878045,0.0006168037,0.0000516881,0.00005163392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001260919,0.0006788432,0.9300154,0.0003522144,0.001059048,0.001394696,0.001420673,1.225045e-7,0.009445913,0.02182025,0.00276135,0.02979055],"study_design_scores_gemma":[0.00971126,0.001231637,0.9248437,0.0004568923,0.0006735648,0.01044786,0.0007262399,0.000007135366,0.03222714,0.001361725,0.0179295,0.0003833664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781692,0.001013447,0.0001419588,0.002709835,0.0001606045,0.0001789408,0.000004206075,0.00005525424,0.01756654],"genre_scores_gemma":[0.9983769,0.00009689682,0.0007322433,0.000282772,0.00004322775,0.00001138504,0.00001629858,0.00001732945,0.0004229214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02940719,"threshold_uncertainty_score":0.3359212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014025690055724,"score_gpt":0.2924362054621777,"score_spread":0.2722959485616205,"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."}}