{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004017786,0.0008045461,0.0005351499,0.0002939336,0.0003413493,0.0003435048,0.0009696099,0.0002863017,0.001765802],"category_scores_gemma":[0.00006762229,0.000779679,0.0006214544,0.0003477645,0.0001427107,0.0000308111,0.0006178344,0.0004463204,0.0007778732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625036,"about_ca_system_score_gemma":0.0007444889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000627652,"about_ca_topic_score_gemma":0.00006280428,"domain_scores_codex":[0.9953468,0.0001623468,0.0009311376,0.00167267,0.0006551186,0.001231956],"domain_scores_gemma":[0.9977401,0.0000295425,0.0001944546,0.001176282,0.0002012163,0.0006583839],"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":[0.0001612791,0.0007567404,0.00809978,0.0009568395,0.0009456019,0.0001267935,0.002764324,0.00006245999,0.07516126,0.0002350086,0.8337981,0.07693187],"study_design_scores_gemma":[0.001053837,0.0003552774,0.0007067693,0.0003202877,0.0001816705,0.00005116913,0.0006278919,0.0003210031,0.00457449,0.00065311,0.9901694,0.0009850666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070053,0.1235037,0.00156904,0.02234728,0.01788791,0.003422902,0.0164794,0.0004522464,0.007332123],"genre_scores_gemma":[0.9754675,0.01071996,0.0002662202,0.00226295,0.001790501,0.0002337309,0.005386847,0.0001852625,0.003686998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1684622,"threshold_uncertainty_score":0.9998245,"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."}}