{"id":"W6904581138","doi":"10.1371/journal.pone.0266829.t004","title":"Test sensitivity and specificity<sup>a</sup> for <i>in silico</i> identification of antimicrobial resistance genes in <i>Escherichia coli</i> isolates from wildlife, swine manure pits, and environmental sources in southern Ontario, 2011–2013 (n = 200).","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manure; Identification (biology); Gene; Antimicrobial; Antibiotic resistance; Sensitivity (control systems); Bacteria","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":[0.002090242,0.001303465,0.001339564,0.002436938,0.001292308,0.001737413,0.003000155,0.001758286,0.1903447],"category_scores_gemma":[0.02443386,0.0008226779,0.00174037,0.005052595,0.0005687106,0.001260542,0.001459329,0.001002627,0.04296867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004746745,"about_ca_system_score_gemma":0.01145366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5333587,"about_ca_topic_score_gemma":0.7388732,"domain_scores_codex":[0.9982004,0.0002087169,0.0002640392,0.0004965277,0.0005455058,0.0002848167],"domain_scores_gemma":[0.9845703,0.006836938,0.001062848,0.001534118,0.005334786,0.0006608979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006032763,0.000009854943,0.004405258,0.00175676,0.00006294422,0.00001852192,0.00004597462,0.0002866727,0.00006529906,0.0002345391,0.9900449,0.00300877],"study_design_scores_gemma":[0.001036337,0.00003808607,0.06700681,0.003613462,0.0004533877,0.0001132512,0.0003901559,0.0007555558,0.0003881964,0.001565543,0.9245623,0.00007696518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001107769,0.0000484271,0.00003890808,0.00006251329,0.00001456059,0.00001637377,0.9988598,0.00004307216,0.0008055305],"genre_scores_gemma":[0.002750427,0.0001382869,0.0004742162,0.0001583695,0.00002145408,0.0002836622,0.9929336,0.0001268136,0.003113251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4666413,"threshold_uncertainty_score":0.9387789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324897201830053,"score_gpt":0.2101220951810283,"score_spread":0.1968731231627278,"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."}}