{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994595,0.00007537884,0.0001132758,0.0004157935,0.00005099685,0.000007177304,0.000158887,0.0002030562,0.0001004752],"category_scores_gemma":[0.0001507796,0.00007605299,0.0000299428,0.0004909363,0.0006328918,0.0000203709,0.00003643276,0.0004199305,0.0001072454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000912985,"about_ca_system_score_gemma":0.0001134924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262172,"about_ca_topic_score_gemma":0.00001081033,"domain_scores_codex":[0.9989731,0.0001515292,0.0001789941,0.0001931785,0.0001671596,0.0003360552],"domain_scores_gemma":[0.9994116,0.0002497574,0.00001106464,0.0001060491,0.0001509858,0.00007054568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001149233,0.0001615711,0.006101094,0.0001014607,0.0001019378,0.0002487751,0.00005421596,0.03359577,0.02232926,0.4773119,0.001091735,0.4587874],"study_design_scores_gemma":[0.001039037,0.0004278201,0.001516548,0.00006261927,0.000002318841,0.00007242495,0.00002722602,0.6197205,0.01972722,0.3372709,0.01991563,0.0002178125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5377114,0.000549991,0.4552735,0.00148816,0.0003919145,0.0001946701,0.000007072106,0.0002080409,0.004175266],"genre_scores_gemma":[0.9841364,0.00001723781,0.01552119,0.0001225686,0.0001187013,0.0000253051,0.00004267233,0.00001113113,0.000004802832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5861247,"threshold_uncertainty_score":0.3101351,"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."}}