{"id":"W4393149174","doi":"10.1177/15357597241237349","title":"Rapid Whole Genome Sequencing: It Is Feasible! When Can We Implement It?","year":2024,"lang":"en","type":"article","venue":"Epiliepsy currents/Epilepsy currents","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational biology; Genome; Whole genome sequencing; Computer science; DNA sequencing; Biology; Genetics; DNA; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07555217,0.0007569361,0.0009351804,0.001119928,0.0009068509,0.002916789,0.001730013,0.002068199,0.005243076],"category_scores_gemma":[0.07036942,0.0006008407,0.001176672,0.001516587,0.001418926,0.002415307,0.003179651,0.001980866,0.001217979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000689417,"about_ca_system_score_gemma":0.003184926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820306,"about_ca_topic_score_gemma":0.006464531,"domain_scores_codex":[0.9675599,0.02380962,0.001996471,0.002583903,0.002524562,0.001525534],"domain_scores_gemma":[0.947145,0.0237368,0.006707938,0.008720654,0.00879048,0.004899126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008948654,0.001246821,0.5401385,0.002271951,0.001529088,0.0006876927,0.003068826,0.001808191,0.007930953,0.005936414,0.05961007,0.3668229],"study_design_scores_gemma":[0.005947731,0.01166624,0.7429958,0.005327899,0.002027536,0.002293,0.004064501,0.00525329,0.00493749,0.01646138,0.1986445,0.0003807207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.624558,0.03460095,0.1469017,0.1252811,0.005157996,0.0188631,0.01719431,0.001280823,0.02616209],"genre_scores_gemma":[0.7420837,0.01197261,0.1756345,0.03744042,0.002349908,0.01847314,0.007572978,0.0006007734,0.003871938],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07555217,"threshold_uncertainty_score":0.3995628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114554295854134,"score_gpt":0.3039020113120471,"score_spread":0.2627564683535058,"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."}}