{"id":"W4400996132","doi":"10.69645/axaq4016","title":"Plasmid segregation and stability in bacteria","year":2024,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Plasmid; Bacteria; Stability (learning theory); Biology; Evolutionary biology; Computer science; Genetics; Computational biology; DNA","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":[0.0002272043,0.000133026,0.0001609564,0.0006441363,0.0002339986,0.000529117,0.0001822517,0.0001841868,0.0007933847],"category_scores_gemma":[0.0007117504,0.0001299984,0.0001296922,0.0003275346,0.0002199863,0.0002281205,0.0002841157,0.0003283237,0.0003948296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006882538,"about_ca_system_score_gemma":0.0002916419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003124865,"about_ca_topic_score_gemma":0.001499264,"domain_scores_codex":[0.9997533,0.00004968043,0.00001820352,0.00005088069,0.00007909301,0.00004874536],"domain_scores_gemma":[0.999713,0.00006736719,0.00005857514,0.00003322692,0.0000738393,0.00005382487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003594944,0.00004184464,0.006437134,0.00001966176,0.00001046002,0.00002492373,0.0000858811,0.0002135428,0.9867083,0.000348906,0.00008709612,0.005662763],"study_design_scores_gemma":[0.00002655308,0.0004758359,0.1237664,0.00001277102,0.00003060636,0.000405724,0.000174871,0.005247039,0.8669998,0.0005652227,0.002264363,0.00003084026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980989,0.0005787012,0.0005749207,0.00003418948,0.000003906731,0.000003494438,0.0002412941,0.00001556339,0.0004490005],"genre_scores_gemma":[0.9978669,0.0001524569,0.0003922583,0.000007612702,0.000002492176,0.000004330243,0.0006548215,0.00001521881,0.0009039765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003124865,"threshold_uncertainty_score":0.006213367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695155445185889,"score_gpt":0.2530063034174914,"score_spread":0.2360547489656325,"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."}}