{"id":"W4284709306","doi":"10.3390/antibiotics11070907","title":"Conifer Needle Phyllosphere as a Potential Passive Monitor of Bioaerosolised Antibiotic Resistance Genes","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"","keywords":"Phyllosphere; Indoor bioaerosol; Bioaerosol; Resistome; Antibiotic resistance; Resistance (ecology); Biology; Veterinary medicine; Ecology; Toxicology; Antibiotics; Environmental science; Microbiology; Chemistry; Bacteria; Medicine; Integron; Aerosol","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003010156,0.0003288002,0.0002313579,0.0003815805,0.0003699815,0.0005626434,0.0002522974,0.0003441266,0.0009230355],"category_scores_gemma":[0.0002165727,0.0001213166,0.000112222,0.0002927573,0.0002225438,0.0003479233,0.0002635515,0.0003566536,0.0002349939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004759723,"about_ca_system_score_gemma":0.0005203513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509202,"about_ca_topic_score_gemma":0.06019202,"domain_scores_codex":[0.9997075,0.00004325776,0.000007422031,0.00006517365,0.0001337588,0.00004292964],"domain_scores_gemma":[0.9997781,0.00004522954,0.00004382029,0.000009746254,0.00009455746,0.00002859444],"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":[0.0000990649,0.00006294264,0.0187859,0.0001315926,0.00001304468,0.0001199048,0.0001110263,0.000274701,0.967604,0.0001455035,0.0002247679,0.01242752],"study_design_scores_gemma":[0.00002984382,0.001123575,0.1982118,0.0001098692,0.00008425003,0.0007607897,0.00146812,0.007706939,0.7632757,0.0003944547,0.02679122,0.00004344055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765192,0.001354427,0.01390247,0.000270757,0.00003557101,0.000180813,0.002164532,0.0001639603,0.005408064],"genre_scores_gemma":[0.9792581,0.0008654251,0.01438366,0.0002465522,0.00001328412,0.0001161307,0.0008059509,0.00001944747,0.004291354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509202,"threshold_uncertainty_score":0.03000832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075448136088498,"score_gpt":0.2466014657016266,"score_spread":0.2358469843407416,"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."}}