{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000156616,0.0002826318,0.0003375979,0.00003413867,0.000385934,0.00003260131,0.0004946686,0.00008077666,0.005508964],"category_scores_gemma":[0.00002963974,0.0002736503,0.0001679427,0.0004243938,0.0006699793,0.0001828553,0.0007485789,0.0002921248,0.0004577505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548442,"about_ca_system_score_gemma":0.00002397385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509467,"about_ca_topic_score_gemma":0.000009141067,"domain_scores_codex":[0.9976646,0.0001269032,0.0004113361,0.0004803127,0.0007464641,0.0005703669],"domain_scores_gemma":[0.9990588,0.00004970761,0.0002286783,0.0004034597,0.000009464758,0.0002498263],"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":[0.000204858,0.001172179,0.05465447,0.00007997772,0.00009009369,0.000230568,0.0002439646,0.00330731,0.9316314,0.0003808934,0.004858562,0.003145714],"study_design_scores_gemma":[0.001557035,0.000498336,0.05873023,0.0000526171,0.0001356191,0.00007053019,0.001257031,0.001149859,0.9241735,0.0005273417,0.01111251,0.0007354188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856667,0.0003735137,0.00007487716,0.0005451757,0.0004428145,0.0003258386,0.0001232381,0.00005160246,0.01239625],"genre_scores_gemma":[0.9940047,0.0002006799,0.0008921095,0.0006115554,0.00006893024,3.751154e-7,0.00002249105,0.00004152812,0.00415761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008338034,"threshold_uncertainty_score":0.9999716,"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."}}