{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335352,0.0003512162,0.0003837535,0.0003280815,0.0004460927,0.0006048909,0.0003129662,0.000465623,0.0006477251],"category_scores_gemma":[0.0003499899,0.0002053876,0.0003062428,0.0001795778,0.0002658409,0.0002259795,0.0004329919,0.0003567606,0.0003033809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179825,"about_ca_system_score_gemma":0.0002224217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178935,"about_ca_topic_score_gemma":0.003234629,"domain_scores_codex":[0.9995564,0.00005089978,0.00001419247,0.0001320984,0.0001764822,0.00006999207],"domain_scores_gemma":[0.9996971,0.00008644892,0.00006919654,0.00001925242,0.00007712103,0.00005084174],"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":[0.000212076,0.00009988424,0.08824388,0.00007456163,0.00001711522,0.0003211788,0.0006382814,0.0001929979,0.9051899,0.00002531003,0.00005864253,0.004926277],"study_design_scores_gemma":[0.00002852683,0.001523354,0.5629786,0.0000307212,0.0000575,0.000931346,0.002222604,0.002575226,0.4286166,0.0001236823,0.000877666,0.00003410595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990546,0.00006702972,0.0005511883,0.00001036757,0.000001465096,0.000006587851,0.00003929696,0.00001531,0.000254142],"genre_scores_gemma":[0.9977975,0.00009799372,0.001381774,0.00002216846,0.00000369043,0.00001093967,0.0001628919,0.000007786421,0.0005152752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178935,"threshold_uncertainty_score":0.006320834,"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."}}