{"id":"W2901589643","doi":"10.1111/trf.15027","title":"Modeling rare blood in Canada","year":2018,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood groups and transfusion","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Blood Services; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Blood Services","keywords":"Medicine; Blood collection; Blood units; Emergency medicine; Medical emergency; Surgery; Blood transfusion","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009998955,0.0008205884,0.0006110822,0.001230548,0.001961475,0.002033153,0.002453817,0.001211341,0.009725972],"category_scores_gemma":[0.004595384,0.0005007875,0.001023674,0.001736727,0.001087645,0.0007125642,0.001072154,0.001064043,0.0004015168],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02845578,"about_ca_system_score_gemma":0.03255816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9649659,"about_ca_topic_score_gemma":0.9356257,"domain_scores_codex":[0.9992525,0.0001562787,0.00001828507,0.0001190989,0.0001552971,0.0002984588],"domain_scores_gemma":[0.9974629,0.001069947,0.0001772372,0.0000659933,0.0009699189,0.000253976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009778165,0.00006531527,0.01220051,0.00004374642,0.00004619195,0.0002122258,0.0001254416,0.9651979,0.0001400153,0.01451222,0.003960615,0.003398082],"study_design_scores_gemma":[0.00007969516,0.00003735982,0.003316565,0.00002112131,0.00004724913,0.00004639127,0.0003286669,0.9860705,0.0001247677,0.003997668,0.00590568,0.00002435654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8393817,0.001369333,0.03880121,0.005267574,0.0002163637,0.0006812842,0.01647038,0.0005095174,0.09730258],"genre_scores_gemma":[0.9596224,0.0007136205,0.01276013,0.0003424656,0.00002628166,0.0001984806,0.003376844,0.0000608239,0.0228989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9715442,"threshold_uncertainty_score":0.2064621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267140416736772,"score_gpt":0.2214210094949287,"score_spread":0.208749605327561,"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."}}