{"id":"W6929238063","doi":"10.4224/20374769","title":"Testing effectiveness of duct cleaning and its impact on airborne particles, mold and biocide levels in commercial office buildings","year":2012,"lang":"en","type":"report","venue":"NPARC","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biocide; Duct (anatomy); Air pollution; Government Office; Mold","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007694667,0.0004958924,0.0004369177,0.0004732598,0.000915999,0.0006609172,0.0009297963,0.0006361651,0.00214835],"category_scores_gemma":[0.001190558,0.0003183096,0.0007842663,0.0006206284,0.000407544,0.0004027288,0.0005580984,0.0004950974,0.0006347582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137579,"about_ca_system_score_gemma":0.0008976891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03692377,"about_ca_topic_score_gemma":0.06335852,"domain_scores_codex":[0.9983279,0.000206737,0.0001197299,0.0002571039,0.0009097765,0.0001786721],"domain_scores_gemma":[0.9981647,0.0004448942,0.0002737422,0.0000985006,0.0008644522,0.0001536366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01302166,0.007478806,0.441618,0.0005301809,0.0003864571,0.0005996265,0.002389094,0.004591999,0.4527512,0.0002089369,0.00190472,0.07451925],"study_design_scores_gemma":[0.00008949609,0.02027843,0.5529245,0.00002806301,0.0002598755,0.0002006512,0.002280106,0.002341299,0.4197933,0.00008023701,0.001666117,0.00005805383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997767,0.00006539011,0.0002459707,0.00001586563,0.000009094916,0.00005981558,0.0006774972,0.00001904433,0.001140368],"genre_scores_gemma":[0.9940064,0.0001292622,0.001089456,0.00003155222,0.000005481798,0.00004845897,0.0008751127,0.00001404781,0.00380027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03692377,"threshold_uncertainty_score":0.07341766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04823157637255231,"score_gpt":0.3083624081746272,"score_spread":0.2601308318020749,"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."}}