{"id":"W210405787","doi":"10.1023/a:1010872732534","title":"The importance of combining air sampling and surface analysis when studying problematic houses for mold biodiversity determination","year":2001,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mold; Environmental science; Sampling (signal processing); Spore; Air quality index; Contamination; Biology; Botany; Ecology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003420369,0.001754484,0.001936032,0.003744309,0.001907222,0.003605011,0.001150756,0.001506266,0.001274519],"category_scores_gemma":[0.008029726,0.0008673436,0.0007464062,0.002185569,0.001312553,0.002714078,0.001813215,0.001301929,0.001079666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052584,"about_ca_system_score_gemma":0.0006084574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005167525,"about_ca_topic_score_gemma":0.01876659,"domain_scores_codex":[0.9956627,0.002003088,0.0004427216,0.0005035687,0.001128605,0.0002591903],"domain_scores_gemma":[0.9925012,0.004010892,0.0006385816,0.0007902,0.001686159,0.0003730455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00104075,0.0004189952,0.5924475,0.000805867,0.0004028411,0.001013522,0.001622066,0.001221774,0.2651582,0.000415445,0.0007144514,0.1347387],"study_design_scores_gemma":[0.00003065835,0.002170152,0.7924623,0.0002044129,0.0006046887,0.007919126,0.006163796,0.008748624,0.1713435,0.002598667,0.007598102,0.000155825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598325,0.00349231,0.1219895,0.0004308216,0.0002436009,0.0005253208,0.001216869,0.0004321723,0.01183676],"genre_scores_gemma":[0.8462802,0.001521233,0.1493457,0.0002021988,0.0001722213,0.0002141102,0.0008190385,0.0001705854,0.001274756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005167525,"threshold_uncertainty_score":0.01808888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03882341959229457,"score_gpt":0.259883054006967,"score_spread":0.2210596344146724,"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."}}