{"id":"W2744674225","doi":"10.1101/174896","title":"COGEM: A Toolbox for Computational Genomics in Matlab","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toolbox; Computer science; Unary operation; Chaining; Computational genomics; MATLAB; Binary number; Genomics; Theoretical computer science; Computational science; Programming language; Scale (ratio); Data mining; Algorithm; Genome; Mathematics; Biology","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":[0.0031952,0.002640137,0.001673399,0.002537383,0.0007085892,0.002730052,0.003679407,0.001274754,0.08294299],"category_scores_gemma":[0.01239865,0.001527378,0.001716611,0.002110641,0.0008262061,0.002299018,0.00270867,0.003920309,0.06149535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009534187,"about_ca_system_score_gemma":0.00230789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737503,"about_ca_topic_score_gemma":0.001779334,"domain_scores_codex":[0.9983789,0.0004296988,0.0002391619,0.00037094,0.0004356345,0.0001457389],"domain_scores_gemma":[0.9947668,0.003106617,0.0003037388,0.0005354613,0.001056301,0.00023109],"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":[0.0007701765,0.000177018,0.001880054,0.00336714,0.000322697,0.0007988065,0.0006919525,0.03408007,0.01498737,0.05976776,0.6082512,0.2749058],"study_design_scores_gemma":[0.000661705,0.0001375996,0.002051518,0.0009646905,0.0001270323,0.0009925831,0.0001742105,0.1842687,0.02624288,0.137854,0.6462464,0.0002786892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001088026,0.0004568915,0.7576281,0.0004558883,0.0002511031,0.0001367146,0.01457267,0.2191703,0.006240308],"genre_scores_gemma":[0.01528679,0.0008201288,0.8812223,0.0008018459,0.0001517996,0.002046863,0.01764735,0.07468339,0.00733959],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08294299,"threshold_uncertainty_score":0.277472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173967106695904,"score_gpt":0.2378085087257001,"score_spread":0.2204117980561097,"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."}}