{"id":"W2792351423","doi":"10.1186/s40168-018-0407-6","title":"Filter forensics: microbiota recovery from residential HVAC filters","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"U.S. Department of Housing and Urban Development","keywords":"Biology; Microbial ecology; Medical microbiology; HVAC; Air filter; Filter (signal processing); Computational biology; Biochemical engineering; Ecology; Microbiology; Engineering; Bacteria; Genetics","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":[0.001193094,0.0005784456,0.0004475025,0.001278314,0.0009140169,0.001180897,0.0007244049,0.001037523,0.001463054],"category_scores_gemma":[0.002435384,0.0002372477,0.0005103569,0.0008107925,0.0004806588,0.0004096987,0.0007263225,0.0005657155,0.0008956737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604185,"about_ca_system_score_gemma":0.0006102691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004018648,"about_ca_topic_score_gemma":0.005521224,"domain_scores_codex":[0.9983569,0.0001975745,0.00006494894,0.0002931164,0.0009278024,0.0001596423],"domain_scores_gemma":[0.9991221,0.0001517227,0.0001851011,0.0001019608,0.0003996937,0.00003945373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008563031,0.0005404423,0.1072851,0.0009477761,0.0002266146,0.001459818,0.001834253,0.001764433,0.6713524,0.0006478144,0.00334829,0.2097367],"study_design_scores_gemma":[0.00003070283,0.001248151,0.1788881,0.0005039021,0.0003172017,0.005705743,0.002552859,0.01193044,0.7742565,0.001113053,0.02334799,0.0001053981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507878,0.002394363,0.04101977,0.0004119872,0.0001542977,0.0002726169,0.001420917,0.0003557997,0.0031824],"genre_scores_gemma":[0.9470936,0.001998059,0.04593451,0.0003502614,0.0001102181,0.0001062166,0.001709386,0.0001675624,0.002530222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004018648,"threshold_uncertainty_score":0.007990479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009856202919092553,"score_gpt":0.2153762012125752,"score_spread":0.2055199982934827,"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."}}