{"id":"W1971316484","doi":"10.1002/1098-1004(200009)16:3<265::aid-humu10>3.0.co;2-h","title":"8th International HUGO-Mutation Database Initiative Meeting, April 9, 2000, Vancouver, Canada","year":2000,"lang":"en","type":"article","venue":"Human Mutation","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Mutation; Library science; Database; Genealogy; Genetics; History; Gene; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399241,0.0001392289,0.00009855074,0.00006334263,0.0001625958,0.00004647051,0.0002261675,0.00009313248,0.000769294],"category_scores_gemma":[0.0002144689,0.0001384655,0.00004069482,0.00008455342,0.00009490369,0.00001776331,0.00005499745,0.0001111355,0.00004306063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121869,"about_ca_system_score_gemma":0.0005080778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01892213,"about_ca_topic_score_gemma":0.2724694,"domain_scores_codex":[0.9985843,0.00006091427,0.0003306026,0.0002535842,0.0005166647,0.0002539155],"domain_scores_gemma":[0.9993154,0.00002439514,0.000107339,0.0002013639,0.0002207735,0.0001306999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004713495,0.0004611437,0.0026631,0.0002377043,0.0004331896,0.0001499613,0.002630629,0.001572072,0.1049103,0.000219602,0.5933212,0.2929297],"study_design_scores_gemma":[0.004868752,0.001025027,0.0185513,0.0001535284,0.00007903529,0.00005044289,0.002979947,0.008134761,0.1750094,0.0009304551,0.7869844,0.00123293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521466,0.00018764,0.001906055,0.0003363483,0.0009519868,0.0003893003,0.0002858739,0.00002742157,0.04376876],"genre_scores_gemma":[0.9888247,0.0001450116,0.0009225353,0.0007343342,0.0003426198,0.00002151399,0.003896663,0.00001679629,0.005095834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916968,"threshold_uncertainty_score":0.9876109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835835527461736,"score_gpt":0.2850471261387434,"score_spread":0.266688770864126,"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."}}