{"id":"W4408291827","doi":"10.3390/microorganisms13030625","title":"Correction: Baghdadi et al. Contribution of Manure-Spreading Operations to Bioaerosols and Antibiotic Resistance Genes’ Emission. Microorganisms 2023, 11, 1797","year":2025,"lang":"en","type":"erratum","venue":"Microorganisms","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut de Recherche et de Développement en Agroenvironnement; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Agrivita Canada","keywords":"Indoor bioaerosol; Microorganism; Manure; Antibiotic resistance; Environmental science; Antibiotics; Microbiology; Agricultural science; Bacteria; Biotechnology; Food science; Biology; Environmental chemistry; Chemistry; Genetics; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007912934,0.0006758558,0.000895396,0.0001878978,0.0006970025,0.000222523,0.0006317843,0.0008068453,0.001449775],"category_scores_gemma":[0.0002735618,0.0007117195,0.0001800602,0.0008798,0.0003672318,0.0002504283,0.0006554698,0.0008534355,0.0002887436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572214,"about_ca_system_score_gemma":0.0002779173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008938035,"about_ca_topic_score_gemma":0.005439806,"domain_scores_codex":[0.9963781,0.0003242308,0.0009547415,0.00123694,0.0004233729,0.000682653],"domain_scores_gemma":[0.99839,0.0001128484,0.0003078076,0.000782121,0.0001379992,0.0002691965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002326415,0.00007004297,0.0001249909,0.00005855064,0.00002887919,0.000005449748,0.0002905405,0.00002815993,0.469337,0.00007858133,0.5297528,0.0002017745],"study_design_scores_gemma":[0.000402589,0.00009487827,0.0006438977,0.0007083881,0.00009046013,0.00002397005,0.0001374432,0.00001399491,0.4223554,0.00002801178,0.5749761,0.0005248508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.2670642,0.03568474,0.08115198,0.1278294,0.257921,0.02338641,0.0145011,0.00220815,0.190253],"genre_scores_gemma":[0.03646553,0.001770607,0.004507058,0.009667001,0.0003564903,0.00002744936,0.002019075,0.0001543895,0.9450324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7547794,"threshold_uncertainty_score":0.9995334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006293904075803732,"score_gpt":0.238733394006126,"score_spread":0.2324394899303223,"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."}}