{"id":"W2120359685","doi":"10.1128/aem.01391-10","title":"Detection of Airborne Lactococcal Bacteriophages in Cheese Manufacturing Plants","year":2010,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Institute for Occupational Safety and Health; Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Novalait","keywords":"Bioaerosol; Lactococcus lactis; Starter; Microbiology; Bacteriophage; Bacteria; Virulence; Biology; Phage typing; Air filter; Food science; Membrane filter; Typing; Chemistry; Aerosol; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006531053,0.0001418174,0.0001682674,0.00004021931,0.0000529456,0.000007217458,0.00009478717,0.0001439405,0.001746369],"category_scores_gemma":[0.000001269447,0.0001332333,0.00003019024,0.00002421446,0.000303269,0.00007681339,0.000173505,0.0002617313,0.0001288699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004053076,"about_ca_system_score_gemma":0.000001237774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001822995,"about_ca_topic_score_gemma":0.0005072766,"domain_scores_codex":[0.9992582,0.00001463526,0.0002055919,0.000277984,0.00002205341,0.000221542],"domain_scores_gemma":[0.9997243,0.00001867517,0.00007258017,0.0001337734,2.477938e-7,0.00005042665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000346349,0.00008404258,0.002067845,0.000003882287,0.000005532012,0.000002956855,0.0001239619,0.000004866913,0.9767191,0.000002897575,0.000008078628,0.02094215],"study_design_scores_gemma":[0.0002532742,0.00002480657,0.4530177,0.000001981468,0.000003000781,0.0000659239,0.00006436263,0.000003132353,0.5428286,0.00001353659,0.003640012,0.0000837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987024,0.000009234842,0.000009346685,0.00002032609,0.0001374239,0.0001774691,0.00005040453,0.00001132676,0.0008820551],"genre_scores_gemma":[0.9995478,0.00004778067,0.0001594816,0.00006662483,0.00002278693,0.00001735354,0.00004727958,0.0000117834,0.00007908518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4509499,"threshold_uncertainty_score":0.9991662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002882071942156202,"score_gpt":0.176455181283025,"score_spread":0.1735731093408688,"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."}}