{"id":"W2953409640","doi":"10.1093/bioinformatics/btz522","title":"Pygenprop: a Python library for programmatic exploration and comparison of organism genome properties","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Genève; Nuclear Waste Management Organization","keywords":"Python (programming language); Computer science; Documentation; Genome; Source code; Organism; Software; MIT License; Genomics; Programming language; World Wide Web; Biology; Genetics; Gene","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":[0.003156988,0.002743652,0.001961859,0.002618846,0.001638724,0.003094137,0.004734088,0.0008658915,0.08908974],"category_scores_gemma":[0.006224778,0.00213138,0.00281305,0.002176083,0.001217554,0.004360742,0.004826546,0.004397651,0.05461715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089661,"about_ca_system_score_gemma":0.003103443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896803,"about_ca_topic_score_gemma":0.00313456,"domain_scores_codex":[0.9984974,0.0002297145,0.0001265269,0.0004157686,0.0005335833,0.0001970367],"domain_scores_gemma":[0.9984288,0.0006454109,0.0001721448,0.0003069703,0.0002703476,0.0001764656],"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":[0.0009918825,0.0001943569,0.004012258,0.002906936,0.0004776034,0.0005550072,0.0006874325,0.004909299,0.01645491,0.01286336,0.8430158,0.1129311],"study_design_scores_gemma":[0.0005698927,0.0001583888,0.008717113,0.0005815137,0.000190916,0.001036243,0.000251693,0.07037038,0.04680271,0.05889193,0.8119528,0.0004765032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00281399,0.000318713,0.2004042,0.0003339168,0.0002171211,0.0002365907,0.06057251,0.7280003,0.007102635],"genre_scores_gemma":[0.03977481,0.000847358,0.3350047,0.001401727,0.0001423216,0.0025202,0.2040121,0.4047679,0.01152886],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08908974,"threshold_uncertainty_score":0.2980348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542589378129637,"score_gpt":0.2317701714092315,"score_spread":0.2063442776279352,"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."}}