{"id":"W2312462828","doi":"10.1101/040352","title":"Kronos: a workflow assembler for genome analytics and informatics","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; BC Cancer Agency; Simon Fraser University; University of British Columbia; Ontario Institute for Cancer Research; University of British Columbia Hospital","funders":"Genome British Columbia; Genome Canada","keywords":"Computer science; Workflow; Python (programming language); Modular design; Executable; Software engineering; Cloud computing; Programming language; Operating system; Database","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":[0.004617234,0.002651698,0.00116238,0.002427033,0.001198994,0.002534105,0.002649013,0.0009077537,0.02191455],"category_scores_gemma":[0.007548301,0.002307158,0.002391853,0.001549721,0.001340574,0.002545331,0.00424862,0.004042126,0.02171659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095528,"about_ca_system_score_gemma":0.003377975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245778,"about_ca_topic_score_gemma":0.001816901,"domain_scores_codex":[0.9975773,0.000409053,0.0004009664,0.0006363694,0.0007675429,0.0002088503],"domain_scores_gemma":[0.9966815,0.001046374,0.0005061748,0.0007949954,0.0005666784,0.0004043344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003958163,0.0004965491,0.005921434,0.003256578,0.0005378324,0.001504433,0.001360225,0.03313474,0.1580003,0.04179361,0.4195458,0.3304903],"study_design_scores_gemma":[0.0007323221,0.0004375934,0.004567771,0.0006149997,0.0001723316,0.00118936,0.000278241,0.1448487,0.1769587,0.06127932,0.6082674,0.0006533431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004742942,0.0002484183,0.5389364,0.0002498734,0.000309187,0.0004376395,0.01033132,0.44024,0.004504218],"genre_scores_gemma":[0.04787238,0.000672759,0.7309086,0.0006531773,0.0001923158,0.002241561,0.06401254,0.1441423,0.009304457],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02191455,"threshold_uncertainty_score":0.07331145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371549258029914,"score_gpt":0.2209315128454588,"score_spread":0.2072160202651596,"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."}}