{"id":"W6904533082","doi":"10.1371/journal.pone.0282897.s007","title":"Summary of the AMR in &lt;i&gt;E&lt;/i&gt;. &lt;i&gt;coli&lt;/i&gt; isolates of Canadian turkey flocks per year by region.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flock; Disease transmission; Incidence (geometry); Outbreak","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":[0.0007724197,0.00142194,0.0008749865,0.007765429,0.000882862,0.0005759386,0.001356814,0.0002786923,0.0647053],"category_scores_gemma":[0.001621476,0.000412044,0.0005477789,0.008180339,0.0003294569,0.0004065438,0.0003873275,0.000694322,0.02954738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969587,"about_ca_system_score_gemma":0.004932449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4241862,"about_ca_topic_score_gemma":0.549766,"domain_scores_codex":[0.9990636,0.0000506518,0.00007742762,0.0001419939,0.0004931209,0.0001733146],"domain_scores_gemma":[0.9959538,0.0001621499,0.0003696096,0.0001483941,0.002811003,0.0005550985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00138856,0.0002694431,0.0193317,0.002705147,0.000161425,0.00035882,0.0002677251,0.0004717014,0.04894064,0.0004262902,0.8347557,0.09092294],"study_design_scores_gemma":[0.00003417712,0.0004795088,0.3049189,0.0001627624,0.000111102,0.0002683189,0.0003674374,0.00009254589,0.006661534,0.00006695934,0.686793,0.00004368478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01925913,0.004155744,0.001967837,0.001091795,0.001976579,0.0008795139,0.892269,0.000717163,0.07768339],"genre_scores_gemma":[0.03490088,0.005048584,0.004603452,0.0007416222,0.0005135916,0.0002679939,0.8444071,0.0004161552,0.1091007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5758138,"threshold_uncertainty_score":0.8434343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958416124804821,"score_gpt":0.2440664707501399,"score_spread":0.2244823095020917,"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."}}