{"id":"W6942158256","doi":"10.1371/journal.pone.0260234.t006","title":"Univariable logistic regression models<sup>a</sup><sup>,</sup><sup>b</sup><sup>,</sup><sup>c</sup> assessing the association between source type, farm location, and year of sampling and the occurrence of select antimicrobial resistance genes and plasmid incompatibility (Inc) types in <i>Salmonella enterica</i> isolates from raccoons, swine manure pits, and soil samples on swine farms in southern Ontario, Canada 2011–2013 (n = 159).","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Sampling (signal processing); Manure; Plasmid; Antimicrobial; Antibiotic resistance; Gene; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005016405,0.00177756,0.001117849,0.001055039,0.0007789206,0.001430613,0.003196207,0.001152458,0.02781332],"category_scores_gemma":[0.01457278,0.0008175172,0.002891504,0.002142565,0.0005646308,0.001260982,0.001562554,0.002746418,0.004382867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004162845,"about_ca_system_score_gemma":0.01090326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5571404,"about_ca_topic_score_gemma":0.6066075,"domain_scores_codex":[0.9970521,0.0009847834,0.0002409969,0.0007661905,0.0003914796,0.0005643921],"domain_scores_gemma":[0.9925627,0.0036332,0.0008634803,0.0006530721,0.001856613,0.0004308848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002644176,0.0005299796,0.7477736,0.001640483,0.003622306,0.0007388894,0.001288819,0.0125619,0.002097515,0.005123323,0.1634035,0.05857551],"study_design_scores_gemma":[0.0004698738,0.001615793,0.6646324,0.001372839,0.00504316,0.0007048239,0.004049355,0.1242428,0.002214935,0.005398287,0.1899603,0.000295339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5284474,0.004479975,0.06313003,0.006045744,0.0024001,0.002170689,0.3682726,0.002689779,0.02236371],"genre_scores_gemma":[0.760644,0.001706471,0.03751815,0.0008529199,0.0002821729,0.00262131,0.105235,0.0009694833,0.09017058],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4428596,"threshold_uncertainty_score":0.8909354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544355998572876,"score_gpt":0.2271542301275559,"score_spread":0.2017106701418272,"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."}}