{"id":"W2313335160","doi":"10.1023/a:1021381826042","title":"Assessing waste collectors' exposure to bioaerosols","year":2002,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Collège de Maisonneuve; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Environmental science; Waste management; Garbage; Truck; Toxicology; Municipal solid waste; Occupational exposure; Environmental engineering; Environmental health; Environmental chemistry; Engineering; Biology; Chemistry; Medicine","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":[0.00155085,0.0005268031,0.00054569,0.0008316946,0.0006132036,0.001052619,0.0003638339,0.0008642821,0.0005753036],"category_scores_gemma":[0.002140054,0.0002975624,0.000463315,0.0005624876,0.0002987247,0.0005495632,0.000543226,0.0003965629,0.0002488251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000425301,"about_ca_system_score_gemma":0.0006059789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004970733,"about_ca_topic_score_gemma":0.004786728,"domain_scores_codex":[0.999087,0.0002504781,0.00008329726,0.0001281574,0.0003425181,0.0001085929],"domain_scores_gemma":[0.9991743,0.0002317162,0.0001795283,0.00004328366,0.0003051754,0.00006601065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003512318,0.0004632635,0.6958964,0.000215374,0.0003569453,0.0002250903,0.002224302,0.001411425,0.2621457,0.00007652421,0.0001487834,0.03332384],"study_design_scores_gemma":[0.00006341063,0.005294745,0.6770582,0.00002955524,0.0004916754,0.0006274242,0.003012687,0.00470454,0.3073216,0.0001531202,0.00119966,0.00004333626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987035,0.0001564209,0.0008367288,0.000006588921,0.000003154481,0.00001828225,0.00006293176,0.00001085826,0.0002015163],"genre_scores_gemma":[0.997675,0.000179456,0.001336667,0.00001753874,0.000004692619,0.00001471538,0.0001720584,0.000006613011,0.0005932249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004970733,"threshold_uncertainty_score":0.009883583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917532978501318,"score_gpt":0.2491249602399809,"score_spread":0.2199496304549677,"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."}}