{"id":"W2807030013","doi":"10.1101/cshperspect.a034579","title":"Whole-Genome Sequencing in Cancer","year":2018,"lang":"en","type":"review","venue":"Cold Spring Harbor Perspectives in Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Genome; Whole genome sequencing; Biology; Computational biology; Cancer genome sequencing; DNA sequencing; Genetics; Evolutionary biology; DNA; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004441218,0.0004119049,0.001085566,0.0003390934,0.00004149668,0.00001696774,0.0004266797,0.0003349659,0.00004731964],"category_scores_gemma":[0.0004613876,0.0003806596,0.0001511442,0.0003772924,0.0002775334,0.00000335602,0.0002097838,0.0004113357,0.00001283368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345844,"about_ca_system_score_gemma":0.0008761169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007324768,"about_ca_topic_score_gemma":0.0008041055,"domain_scores_codex":[0.9979346,0.00008168611,0.0005528302,0.0008397269,0.0001623149,0.0004288846],"domain_scores_gemma":[0.9989197,0.00006275675,0.000220838,0.0005962126,0.00009149146,0.0001089733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001220428,0.00307247,0.008739927,0.1429214,0.007538091,0.004546613,0.02993678,0.002612452,0.4076703,0.07300186,0.0235495,0.2951902],"study_design_scores_gemma":[0.0005431006,0.0001845046,0.0002668107,0.007905317,0.0001193294,0.000002162074,0.0002434572,0.000009658145,0.00004360489,0.000009489283,0.9902511,0.0004215202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001254231,0.9968994,0.00004722433,0.00008775896,0.0004944061,0.0005823963,0.00006239217,0.00001071428,0.000561477],"genre_scores_gemma":[0.00254554,0.9943613,0.000148682,0.0001009009,0.00236001,0.0002178389,0.00001868607,0.0000844237,0.000162618],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9667016,"threshold_uncertainty_score":0.9998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587541773892818,"score_gpt":0.3447961061519237,"score_spread":0.2989206884129955,"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."}}