{"id":"W3043192906","doi":"10.1093/bioinformatics/btaa453","title":"Identification of conserved evolutionary trajectories in tumors","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of British Columbia; Simon Fraser University","funders":"National Cancer Institute; National Institutes of Health; Francis Crick Institute","keywords":"Phylogenetic tree; Identification (biology); Conserved sequence; Set (abstract data type); Computational biology; Computer science; Biology; Evolutionary biology; Gene; Genetics; Base sequence; Ecology","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":[0.001154213,0.0004859359,0.0005355939,0.001730583,0.0005152925,0.0007698019,0.0006584771,0.0004952632,0.001575161],"category_scores_gemma":[0.005844572,0.0002151557,0.0007274869,0.001822623,0.0004590096,0.0006710069,0.0006706505,0.000570658,0.00041142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301705,"about_ca_system_score_gemma":0.001266031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005423115,"about_ca_topic_score_gemma":0.006769822,"domain_scores_codex":[0.9993222,0.0001473427,0.0000613032,0.0002771945,0.0001254433,0.00006647631],"domain_scores_gemma":[0.9971343,0.001456152,0.0005701444,0.0002569604,0.0003969158,0.0001855863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001090416,0.0002670609,0.2929879,0.001185457,0.0004522846,0.001444699,0.0005861851,0.4265507,0.02471679,0.01281841,0.01355024,0.2243499],"study_design_scores_gemma":[0.00004657076,0.0001296399,0.04651294,0.0001147187,0.0001238833,0.001465133,0.000232694,0.9098865,0.01028759,0.02324959,0.007898146,0.00005251354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239643,0.002216353,0.3560078,0.0007692609,0.00004394966,0.0002053668,0.01242346,0.001731394,0.002638048],"genre_scores_gemma":[0.8713383,0.0005882191,0.1115612,0.00009878132,0.00003298435,0.0001292221,0.01519155,0.0002331315,0.0008265969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005423115,"threshold_uncertainty_score":0.01078314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125523162193405,"score_gpt":0.2282734148533736,"score_spread":0.2157210986340331,"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."}}