{"id":"W2794836472","doi":"","title":"Onctopus: Lineage-Based Subclonal Reconstruction","year":2018,"lang":"en","type":"article","venue":"Research in Computational Molecular Biology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Lineage (genetic); Evolutionary biology; Biology; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008745964,0.000911543,0.0008774319,0.001545881,0.0009014425,0.002146796,0.002763573,0.001481044,0.01687279],"category_scores_gemma":[0.003230331,0.001073456,0.001174379,0.001359864,0.0006063046,0.001143306,0.002418559,0.002174707,0.004299827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005323904,"about_ca_system_score_gemma":0.001784737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003540572,"about_ca_topic_score_gemma":0.009252689,"domain_scores_codex":[0.9996673,0.00005003856,0.00001854896,0.00007061604,0.0001526198,0.00004084277],"domain_scores_gemma":[0.9992342,0.0003157476,0.00005574776,0.0002265082,0.000107534,0.00006019165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009393544,0.0002598621,0.006743837,0.00112045,0.0004970229,0.0008343525,0.0009771476,0.2351169,0.04302466,0.06537167,0.07583641,0.5692784],"study_design_scores_gemma":[0.00008510643,0.00005811514,0.0004410452,0.00006284434,0.00004804539,0.0002987624,0.0001074389,0.9381748,0.0147254,0.01602695,0.02992991,0.00004158379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01898566,0.0002324557,0.9240137,0.0001883094,0.0001939384,0.000156161,0.003240529,0.04861609,0.004373085],"genre_scores_gemma":[0.1105159,0.0003083042,0.8664895,0.0001426552,0.0000551733,0.0002547463,0.008833847,0.00950893,0.003890937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01687279,"threshold_uncertainty_score":0.05644512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023693372486167,"score_gpt":0.3884521466135359,"score_spread":0.3482152128886742,"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."}}