{"id":"W2365263516","doi":"","title":"Research on Yellow River Conservancy Technical Institute Archives Air Microorganism Density","year":2012,"lang":"en","type":"article","venue":"Journal of Yellow River Conservancy Technical Institute","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Air quality index; Air contamination; Environmental science; Geography; Archaeology; Engineering; Meteorology; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0007789284,0.0002093225,0.0002223006,0.001560353,0.0005043895,0.0005775625,0.0003515574,0.0001552477,0.001515492],"category_scores_gemma":[0.001423693,0.0001612063,0.0002375671,0.001907695,0.0002537044,0.0006021039,0.0004318179,0.0002767546,0.0002746808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009444544,"about_ca_system_score_gemma":0.00106739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04926017,"about_ca_topic_score_gemma":0.06738574,"domain_scores_codex":[0.9991448,0.0001074652,0.00007525973,0.0001720867,0.000413755,0.00008652782],"domain_scores_gemma":[0.9981707,0.000249538,0.0004585248,0.0000943347,0.0009161322,0.0001108401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007888053,0.00006906523,0.9088816,0.0001406202,0.00003179894,0.0001159429,0.001726163,0.00022896,0.05971611,0.0002230627,0.0004674768,0.02832025],"study_design_scores_gemma":[0.000002054275,0.0001024562,0.9816496,0.00001873818,0.00002295727,0.0001080825,0.001204294,0.0003649458,0.01370302,0.00002672407,0.002787681,0.000009460956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939359,0.0003796331,0.001836715,0.0001047697,0.00001403538,0.00003084071,0.0006046734,0.00002251857,0.003070974],"genre_scores_gemma":[0.9934641,0.0004958804,0.002268983,0.00002854994,0.00001123472,0.00005276629,0.0006133112,0.000008127564,0.003057121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04926017,"threshold_uncertainty_score":0.09794688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939072558924092,"score_gpt":0.3168015719217981,"score_spread":0.2674108463325572,"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."}}