{"id":"W2550172618","doi":"","title":"Analysis of Canada national microbiological monitoring program.","year":2015,"lang":"en","type":"article","venue":"Shipin anquan zhiliang jiance xuebao","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Business; Food science; Chemistry","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":[0.001553718,0.001098308,0.0004680375,0.005468528,0.002539251,0.001164373,0.001043583,0.0004239577,0.02375301],"category_scores_gemma":[0.002773712,0.0003953641,0.0004184663,0.006166318,0.0003268425,0.0004468196,0.0008949736,0.0008838903,0.007494039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01197214,"about_ca_system_score_gemma":0.04574185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9135301,"about_ca_topic_score_gemma":0.9509933,"domain_scores_codex":[0.9965591,0.0001596001,0.0001198693,0.0003092566,0.002485713,0.0003663647],"domain_scores_gemma":[0.9925728,0.0001140424,0.000277163,0.00017261,0.006475162,0.0003882839],"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":[0.0003845041,0.0002631308,0.1605656,0.0007572639,0.00009178255,0.0003614754,0.0004979508,0.0007447369,0.01085352,0.005499361,0.5763084,0.2436723],"study_design_scores_gemma":[0.00003583294,0.00006317291,0.2926597,0.00029579,0.00006735318,0.0001626321,0.0009562898,0.002044002,0.009917551,0.0004973608,0.6932427,0.00005763297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06804746,0.0112974,0.0149185,0.005436269,0.00153204,0.001489226,0.6532784,0.002426139,0.2415746],"genre_scores_gemma":[0.2002336,0.01025046,0.04390302,0.002183891,0.0001946207,0.0009904169,0.3672158,0.0006797684,0.3743485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08646989,"threshold_uncertainty_score":0.1739582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690833711613225,"score_gpt":0.313531898514758,"score_spread":0.2566235613986258,"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."}}