{"id":"W2037907954","doi":"10.1002/(sici)1098-1004(200001)15:1<62::aid-humu13>3.0.co;2-r","title":"Future vision of the GDB Human Genome Database","year":2000,"lang":"en","type":"article","venue":"Human Mutation","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation","funders":"","keywords":"Biology; Human genome; Genome; Computational biology; Database; Genetics; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02828718,0.001098357,0.002177841,0.006707856,0.00204268,0.01103564,0.009799059,0.006168124,0.0220433],"category_scores_gemma":[0.03203601,0.001018463,0.001339724,0.009087515,0.001670094,0.01593315,0.007080423,0.005123204,0.01975986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406157,"about_ca_system_score_gemma":0.01628261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01812374,"about_ca_topic_score_gemma":0.01012843,"domain_scores_codex":[0.994666,0.001524327,0.0007044756,0.000875164,0.001580761,0.0006493543],"domain_scores_gemma":[0.9739948,0.004522788,0.0008099336,0.003714253,0.009003968,0.00795423],"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":[0.0005261026,0.000154649,0.002210225,0.001129325,0.0000751691,0.0002038718,0.000258046,0.0008466397,0.001100658,0.06935671,0.6830454,0.2410932],"study_design_scores_gemma":[0.0000772813,0.00003946371,0.0009611344,0.0005438267,0.00003101929,0.0002148511,0.0001837928,0.0008436985,0.0003123893,0.0175934,0.9791566,0.00004253551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00917922,0.1267492,0.1013755,0.4916742,0.01782438,0.0009004296,0.1398042,0.01939164,0.09310123],"genre_scores_gemma":[0.02961679,0.05274936,0.4810149,0.06836454,0.005154827,0.001258915,0.3344935,0.002871392,0.02447572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02828718,"threshold_uncertainty_score":0.1495987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390592714315159,"score_gpt":0.2606759509740725,"score_spread":0.2512853582597574,"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."}}