{"id":"W2222306770","doi":"10.69645/zfph4100","title":"Plasmid segregation and stability in bacteria","year":2008,"lang":"en","type":"article","venue":"The biomedical & 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); Microbiology; Biology; Genetics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009448307,0.00008123772,0.0001182291,0.00005320153,0.001278445,0.00001117113,0.000291411,0.00009318916,0.005478469],"category_scores_gemma":[0.0001036156,0.00005120712,0.00002092418,0.0007871068,0.003763501,0.0001496164,0.0002471065,0.0002256036,0.0001265203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008452153,"about_ca_system_score_gemma":0.00006989882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004048,"about_ca_topic_score_gemma":0.004894746,"domain_scores_codex":[0.9987761,0.0003523825,0.0001947677,0.0002456823,0.0001765629,0.0002544464],"domain_scores_gemma":[0.9994504,0.0002627895,0.00003845636,0.000139584,0.000005677748,0.0001030798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003997014,0.001393337,0.556442,0.00003078041,0.00003217768,0.00001832352,0.01816962,0.0005053619,0.2650017,0.000459977,0.1541291,0.003417914],"study_design_scores_gemma":[0.0009050105,0.0006694859,0.9214678,0.000007744819,0.000007456656,0.0001259165,0.0006152407,0.006430598,0.001536382,0.007269074,0.06066129,0.0003039971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950963,0.0000161103,0.00006576691,0.001769807,0.0002668049,0.0001559077,0.000002426916,0.00001916219,0.002607725],"genre_scores_gemma":[0.9987562,0.00003671102,0.0002123428,0.0007581287,0.00002569837,0.00001432745,0.000006315986,0.000002208928,0.0001880166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3650258,"threshold_uncertainty_score":0.9989477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300172577234811,"score_gpt":0.239650450617697,"score_spread":0.2166487248453489,"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."}}