{"id":"W142895934","doi":"10.21307/immunohematology-2019-201","title":"Consortium for Blood Group Genes (CBGG): 2009 report","year":2010,"lang":"en","type":"article","venue":"Immunohematology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Genotype; Gene; Biology; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000246847,0.0001729976,0.0004920462,0.00008774493,0.0001143539,0.00001106061,0.0001048346,0.0002985038,0.0002633342],"category_scores_gemma":[0.0001077712,0.0001458844,0.0001811453,0.00009404156,0.0001564562,0.00004870553,0.00002793196,0.0003050033,0.0000412297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003678404,"about_ca_system_score_gemma":0.00006964096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006746758,"about_ca_topic_score_gemma":0.00007427583,"domain_scores_codex":[0.9987027,0.00001565333,0.0004601122,0.0003501681,0.000114886,0.0003564823],"domain_scores_gemma":[0.9989505,0.0001096393,0.0001210601,0.0005832718,0.0001346777,0.0001008355],"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":[0.0003879379,0.00094173,0.04369408,0.0002492048,0.0003749693,0.001508062,0.00009572264,6.462041e-8,0.9220049,0.02287547,0.001705272,0.006162621],"study_design_scores_gemma":[0.01627611,0.001661959,0.04549791,0.0001238156,0.001957469,0.1542573,0.0001505128,0.00007003054,0.4279484,0.004554832,0.346739,0.000762709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910416,0.001843057,0.001018954,0.001651882,0.001327657,0.0006756424,0.00001198617,0.0001363139,0.002292922],"genre_scores_gemma":[0.9913769,0.00009684771,0.006809459,0.0003845967,0.0002088017,0.0001206027,0.0001077796,0.00003906472,0.0008559988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940565,"threshold_uncertainty_score":0.5948995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570015380810941,"score_gpt":0.2755589620885134,"score_spread":0.2659889467077025,"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."}}