{"id":"W4205246644","doi":"10.1177/117693430600200029","title":"Modelling Prokaryote Gene Content","year":2006,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Genome Atlantic; Dalhousie University; Genome Canada","keywords":"Gene; Prokaryote; Biology; Genome; Horizontal gene transfer; Archaea; Phylogenetic tree; Computational biology; Genetics; Bacillus subtilis; Evolutionary biology; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008238753,0.0001398425,0.0001069041,0.0000354075,0.0001486025,0.00001520475,0.0001239557,0.00008233757,0.000005612179],"category_scores_gemma":[0.000007610313,0.0001301289,0.00008112129,0.00005541668,0.00006846733,0.000002022141,0.0001052067,0.00004721017,0.00003385812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951192,"about_ca_system_score_gemma":0.00005289917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004594342,"about_ca_topic_score_gemma":0.000004588289,"domain_scores_codex":[0.9991964,0.0000108427,0.000303249,0.0001344103,0.0001239995,0.0002310633],"domain_scores_gemma":[0.9995362,0.000005535786,0.00008688419,0.0002275186,0.0001022462,0.00004159243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000183364,0.0003574921,0.02208697,0.0001378074,0.0003097226,0.000006507937,0.0002857839,0.6346952,0.2772494,0.006870281,0.05546756,0.002349922],"study_design_scores_gemma":[0.002108488,0.0006494437,0.03297844,0.00003381954,0.00008687977,0.0001786848,0.0004508373,0.6641761,0.05035744,0.004224844,0.2434139,0.001341152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944542,0.0038107,0.09213754,0.0001717169,0.0002963226,0.0003134578,0.00009630871,0.00001590454,0.008703846],"genre_scores_gemma":[0.9203459,0.0002755775,0.07715003,0.0001534702,0.0003758893,0.00002155532,0.0002540082,0.00001549646,0.001408097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226892,"threshold_uncertainty_score":0.5306501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949874221566445,"score_gpt":0.2016384875055773,"score_spread":0.1821397452899128,"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."}}