{"id":"W1573469120","doi":"10.1111/j.1745-4565.2011.00360.x","title":"COMPARISON OF EXCISION, SWABBING AND RINSING SAMPLING METHODS TO DETERMINE THE MICROBIOLOGICAL QUALITY OF BROILER CARCASSES","year":2011,"lang":"en","type":"article","venue":"Journal of Food Safety","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Broiler; Enumeration; Bacteria; Sampling (signal processing); Enterobacteriaceae; Biology; Food science; Lactic acid; Polymerase chain reaction; Pseudomonas; Veterinary medicine; Microbiology; Escherichia coli; Mathematics; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00214896,0.0008793728,0.0005205634,0.000892721,0.0002047129,0.0005941101,0.0002575633,0.0004582301,0.0005505313],"category_scores_gemma":[0.003125646,0.0003183432,0.0003924956,0.0004119252,0.0003690803,0.0004512633,0.0003527775,0.0003318618,0.0002659877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497581,"about_ca_system_score_gemma":0.0002011384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158795,"about_ca_topic_score_gemma":0.002890404,"domain_scores_codex":[0.9980547,0.0005602886,0.0002596976,0.0003406476,0.0006672121,0.000117337],"domain_scores_gemma":[0.9969196,0.001093743,0.0005466219,0.000171718,0.001074971,0.0001932756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001430138,0.0002413792,0.08990581,0.0006570853,0.0001621894,0.0001034986,0.000391829,0.0002491442,0.8786148,0.00002415133,0.00008933414,0.02813067],"study_design_scores_gemma":[0.00003311907,0.008214129,0.62635,0.0001166914,0.0004235681,0.000537416,0.0007512228,0.002104255,0.3601418,0.0000326351,0.00123713,0.00005810683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913266,0.001318129,0.006537279,0.00002635641,0.00003349777,0.0001043065,0.0001503978,0.00003017314,0.00047329],"genre_scores_gemma":[0.9717046,0.001227424,0.02507309,0.00008754623,0.00002235583,0.00008910944,0.0005798741,0.00004035767,0.001175635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00214896,"threshold_uncertainty_score":0.01136488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3132748142539238,"score_gpt":0.4746685117252867,"score_spread":0.161393697471363,"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."}}