{"id":"W4319037052","doi":"10.24072/pci.genomics.100166","title":"A workflow for studying enigmatic non-autonomous transposable elements across bacteria","year":2023,"lang":"en","type":"article","venue":"Peer Community In Genomics","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transposase; Transposable element; Mobile genetic elements; Biology; Genome; Bacterial genome size; Computational biology; Stenotrophomonas maltophilia; Insertion sequence; Workflow; Evolutionary biology; Genetics; Pseudomonas aeruginosa; Computer science; Bacteria; Gene; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004134159,0.002973846,0.002002194,0.006151286,0.002845925,0.00402415,0.002050769,0.002087756,0.02238303],"category_scores_gemma":[0.01001048,0.001514873,0.003036503,0.00273108,0.001053776,0.00223722,0.003694539,0.003128897,0.02421154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009041133,"about_ca_system_score_gemma":0.00326124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072085,"about_ca_topic_score_gemma":0.004788168,"domain_scores_codex":[0.9979504,0.0002699376,0.0002689424,0.0007164221,0.0006079787,0.0001862804],"domain_scores_gemma":[0.9949995,0.001613711,0.0004348914,0.001447606,0.0009137479,0.0005905251],"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":[0.002961132,0.0006666154,0.02657305,0.004828134,0.0009591623,0.003202221,0.003925655,0.004657058,0.2826815,0.01575463,0.2205804,0.4332105],"study_design_scores_gemma":[0.0006274484,0.0006382393,0.0330615,0.001980165,0.0005116311,0.00432798,0.002020665,0.0554526,0.3239154,0.05189127,0.5245162,0.001056947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01767973,0.001094947,0.6135353,0.001176198,0.0007320883,0.001327492,0.04823142,0.3076539,0.008568915],"genre_scores_gemma":[0.02471455,0.0009294446,0.914772,0.0007491317,0.0001114532,0.002372782,0.03214543,0.01684322,0.007361848],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02238303,"threshold_uncertainty_score":0.07487869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102464476199924,"score_gpt":0.3077212617556718,"score_spread":0.2766966169936726,"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."}}