{"id":"W6912987433","doi":"10.5524/100307","title":"Supporting materials for \"Kronos: a workflow assembler for genome analytics and informatics\"","year":2017,"lang":"en","type":"dataset","venue":"GigaDB","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Workflow; Modular design; Executable; Python (programming language); Workflow management system; Codebase; Scalability; Workflow engine; Reuse; Software","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002700462,0.002634431,0.001508587,0.003038114,0.001807122,0.002789204,0.005438983,0.002055726,0.6818459],"category_scores_gemma":[0.009139316,0.00253202,0.002012233,0.003396369,0.0008162289,0.003744928,0.003727314,0.003285057,0.25868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026199,"about_ca_system_score_gemma":0.002442784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628383,"about_ca_topic_score_gemma":0.005633451,"domain_scores_codex":[0.9985822,0.0001807892,0.0001502137,0.0003045578,0.0005921469,0.0001900371],"domain_scores_gemma":[0.9964802,0.001539759,0.0003439143,0.0005005976,0.0004818747,0.0006536799],"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":[0.0005459231,0.0001237989,0.0006517067,0.001507253,0.00004872684,0.0002383873,0.00008813232,0.00119424,0.005725467,0.004484276,0.9611521,0.02423992],"study_design_scores_gemma":[0.001081533,0.0001776949,0.002246268,0.0004805149,0.00005002497,0.0004222353,0.0001163717,0.009681189,0.01493627,0.01333027,0.9573133,0.0001642845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003465814,0.0005204525,0.145176,0.001570672,0.002494361,0.001833958,0.6623783,0.1475807,0.03497967],"genre_scores_gemma":[0.01596877,0.0008371533,0.10182,0.002048167,0.0004641729,0.004247831,0.781358,0.06328567,0.02997023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6818459,"threshold_uncertainty_score":0.4538082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601337461542012,"score_gpt":0.3625341177756394,"score_spread":0.3165207431602193,"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."}}