{"id":"W2741106212","doi":"10.1186/s13059-017-1267-2","title":"ReMixT: clone-specific genomic structure estimation in cancer","year":2017,"lang":"en","type":"article","venue":"Genome biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Genome Canada","keywords":"clone (Java method); Biology; Genome; Genetics; Breakpoint; Computational biology; Human genetics; Bacterial artificial chromosome; Gene; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01093678,0.00202956,0.00229727,0.00325164,0.001091261,0.00220171,0.00355993,0.001925543,0.007931965],"category_scores_gemma":[0.02778455,0.002453653,0.003189613,0.002263306,0.001374775,0.001827865,0.003422447,0.003268608,0.005036298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104006,"about_ca_system_score_gemma":0.001896198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002740761,"about_ca_topic_score_gemma":0.00396564,"domain_scores_codex":[0.9961558,0.001605212,0.0001974279,0.001108145,0.0007812352,0.0001520878],"domain_scores_gemma":[0.9931968,0.004238013,0.0006730673,0.001378068,0.0003446624,0.0001693055],"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":[0.001714277,0.0002338827,0.03209229,0.002484835,0.003033675,0.001069015,0.001214713,0.1640872,0.08200886,0.02973103,0.0613124,0.6210179],"study_design_scores_gemma":[0.0004725167,0.0004794802,0.01683531,0.0002630827,0.0007122325,0.002515628,0.0001309902,0.7267478,0.1181669,0.05385727,0.07944914,0.000369602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01257775,0.001294067,0.9444507,0.0001849871,0.0001084552,0.0001814925,0.005055133,0.03527078,0.0008766773],"genre_scores_gemma":[0.05060452,0.0007303393,0.9206028,0.0002237761,0.0001196552,0.001236188,0.01398431,0.009893532,0.002604901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093678,"threshold_uncertainty_score":0.05783993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541653072118358,"score_gpt":0.2860659083490542,"score_spread":0.2706493776278706,"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."}}