{"id":"W2756236937","doi":"10.1177/2040620717729128","title":"Red cell genotyping precision medicine: a conference summary","year":2017,"lang":"en","type":"review","venue":"Therapeutic Advances in Hematology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"NIH Clinical Center; U.S. Department of Health and Human Services; National Institutes of Health; Grifols; Australian Government; Canadian Blood Services","keywords":"Genotyping; Precision medicine; Medicine; Clinical Practice; Medical physics; Family medicine; Pathology; Genotype; Genetics; Biology","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":[0.00247672,0.001103327,0.001078272,0.003574532,0.0005380359,0.002094196,0.001087849,0.002173042,0.008093217],"category_scores_gemma":[0.003788481,0.0004018667,0.0008392603,0.003243621,0.0004916766,0.002798738,0.001481554,0.003505755,0.004892616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123557,"about_ca_system_score_gemma":0.003499537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198409,"about_ca_topic_score_gemma":0.001923966,"domain_scores_codex":[0.9991422,0.000161883,0.0001606624,0.0001100061,0.0003555762,0.00006971763],"domain_scores_gemma":[0.998083,0.0006617734,0.0001952022,0.00004201619,0.0008500476,0.0001680187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006408828,0.00006132973,0.0001758319,0.02000163,0.00007807234,0.000436337,0.0001563977,0.000280742,0.0009689264,0.00650615,0.2742386,0.6970319],"study_design_scores_gemma":[0.00000532468,0.00002659572,0.0001879825,0.005011997,0.000035802,0.0005932708,0.00004250324,0.00002488784,0.0001518515,0.0007683765,0.9931383,0.00001316914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001135118,0.9839935,0.0003689064,0.005911394,0.006112475,0.0000315975,0.00008128113,0.0000269277,0.003360355],"genre_scores_gemma":[0.0005909116,0.9906111,0.0004616438,0.002879066,0.003258056,0.0000291547,0.0001419912,0.000007323387,0.002020722],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008093217,"threshold_uncertainty_score":0.02707446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255519246318827,"score_gpt":0.4248344417129931,"score_spread":0.2992825170811104,"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."}}