{"id":"W1995610231","doi":"10.1080/15287394.2014.861336","title":"Fungal Contamination Assessment in Portuguese Elderly Care Centers","year":2014,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Fundação para a Ciência e a Tecnologia; Ministère de la Santé et des Services sociaux","keywords":"Indoor bioaerosol; Aspergillus fumigatus; Contamination; Penicillium; Aspergillus; Biology; Toxicology; Indoor air; Microbiology; Veterinary medicine; Environmental health; Food science; Environmental science; Ecology; Medicine; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003999817,0.0003909034,0.0003336851,0.0009278662,0.000426678,0.0008377903,0.0002391634,0.0002840155,0.0008499094],"category_scores_gemma":[0.0009242517,0.0001830179,0.0002670084,0.0007345544,0.0002883463,0.000188332,0.0006152469,0.0001455818,0.0001758926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437091,"about_ca_system_score_gemma":0.0004047808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022461,"about_ca_topic_score_gemma":0.01352673,"domain_scores_codex":[0.999511,0.00009679317,0.00006115834,0.0001138032,0.0001343643,0.00008284528],"domain_scores_gemma":[0.9995622,0.00005153338,0.0001973053,0.00001777739,0.0001141727,0.00005695919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004486651,0.0001120435,0.942204,0.0004142622,0.000064699,0.001262092,0.002671252,0.0001897779,0.0149523,0.00005366591,0.0003796433,0.03724753],"study_design_scores_gemma":[0.000010564,0.0005124744,0.9861859,0.0001859082,0.00008168721,0.001878305,0.004509489,0.0003321414,0.004057886,0.00005980851,0.002169795,0.00001595442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980369,0.0007235224,0.0002924898,0.00002729938,0.000004998495,0.00002378126,0.0003477416,0.000005660408,0.0005376559],"genre_scores_gemma":[0.9967529,0.001189604,0.00119418,0.00005213004,0.00001179733,0.00001972715,0.0003622928,0.000003694069,0.0004137103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022461,"threshold_uncertainty_score":0.02033019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007894327674764761,"score_gpt":0.2635482214035585,"score_spread":0.2556538937287937,"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."}}