{"id":"W2969789886","doi":"","title":"Structural variation and fusion detection using targeted sequencing data from circulating cell free DNA","year":2019,"lang":"en","type":"article","venue":"PMC","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Structural variation; Computational biology; Contig; DNA sequencing; Liquid biopsy; Copy-number variation; Computer science; DNA; Biology; Breakpoint; Cell-free fetal DNA; Genome; Genetics; Cancer; Gene; Chromosomal translocation","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":[0.001316244,0.0006620223,0.0005045066,0.00171078,0.0003071126,0.0008060126,0.0007119132,0.0008462339,0.001145807],"category_scores_gemma":[0.004812634,0.0002355527,0.0006404921,0.001478738,0.0003646869,0.0005189632,0.0006901155,0.0005893759,0.0006400443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118567,"about_ca_system_score_gemma":0.0004997537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002719474,"about_ca_topic_score_gemma":0.004122627,"domain_scores_codex":[0.99862,0.0001964466,0.0001253869,0.0005156609,0.0004497998,0.00009274967],"domain_scores_gemma":[0.9969949,0.00138641,0.0005621249,0.0003247883,0.0005852073,0.0001465995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003138348,0.0003239018,0.1040223,0.001442965,0.000635998,0.001745416,0.0008694571,0.08056153,0.596395,0.004111502,0.004974503,0.201779],"study_design_scores_gemma":[0.0001170859,0.000901279,0.04248113,0.000117191,0.0002705192,0.00245,0.0003005619,0.419216,0.5126035,0.007396692,0.01397942,0.0001667377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7151089,0.001675602,0.2596326,0.000264707,0.0001058765,0.0001763286,0.01264619,0.008129565,0.002260302],"genre_scores_gemma":[0.7376893,0.0004895455,0.2431026,0.0002640779,0.00004709559,0.0001302095,0.01649792,0.000599209,0.001180124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002719474,"threshold_uncertainty_score":0.006961048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201407140156379,"score_gpt":0.2362575868536635,"score_spread":0.2142435154520997,"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."}}