{"id":"W2971282713","doi":"10.1093/annweh/wxz058","title":"Archaea and Bacteria Exposure in Danish Livestock Farmers","year":2019,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Danish Agency for Science and Higher Education; Helsefonden; Aarhus Universitet; Medical Research Council; Sundhed og Sygdom, Det Frie Forskningsråd; Danmarks Lungeforening","keywords":"Danish; Livestock; Bacteria; Environmental health; Archaea; Biology; Geography; Ecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000841164,0.0001462904,0.0003272732,0.0000472273,0.00008057095,0.0000207428,0.0001156539,0.00009046675,0.0003390556],"category_scores_gemma":[0.00001147999,0.0001366136,0.00004006807,0.0001725124,0.0001661736,0.0001422669,0.0001420081,0.0001673668,0.00002919243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001780376,"about_ca_system_score_gemma":0.0000267994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733531,"about_ca_topic_score_gemma":0.000671371,"domain_scores_codex":[0.9986226,0.0001263656,0.0003929275,0.0003186618,0.0001502949,0.0003891597],"domain_scores_gemma":[0.9994417,0.00004552618,0.0001517401,0.0001951937,0.000008979956,0.0001568954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001389783,0.0001093267,0.944144,0.0001594417,0.00001268969,0.000002999527,0.006443106,0.00004304008,0.002285734,0.0005528955,0.008640769,0.03746701],"study_design_scores_gemma":[0.0005284634,0.0008625649,0.9766168,0.0001467726,0.000002029468,0.000006482102,0.0007744132,0.000004610594,0.0003736792,0.0003240167,0.02017978,0.0001804173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927698,0.001045953,0.000006399053,0.004515715,0.00008616343,0.000340745,0.00001134197,0.00001153184,0.001212327],"genre_scores_gemma":[0.9950933,0.001329063,0.0005413504,0.002518521,0.00002407119,0.000004769182,0.000007769509,0.00001193067,0.0004692133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03728659,"threshold_uncertainty_score":0.557094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954206442145447,"score_gpt":0.2988171913845722,"score_spread":0.2592751269631178,"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."}}