{"id":"W2606029384","doi":"10.11159/awspt17.120","title":"Investigation of Indoor Air Quality at Shooting Range","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Quality (philosophy); Computer science; Air quality index; Trouble shooting; Environmental science; Aerospace engineering; Engineering; Meteorology; Reliability engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002968685,0.0002620314,0.0003378715,0.001727187,0.000450295,0.0005616144,0.0004474191,0.0003639575,0.006049136],"category_scores_gemma":[0.001041462,0.000108545,0.0005215791,0.00115307,0.0001389579,0.0003166056,0.0003644229,0.000269091,0.001533692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004207643,"about_ca_system_score_gemma":0.0007197411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984842,"about_ca_topic_score_gemma":0.03600027,"domain_scores_codex":[0.999633,0.00004138495,0.000034638,0.00008343622,0.0001482401,0.00005924261],"domain_scores_gemma":[0.9993321,0.000113326,0.00009414249,0.00002614128,0.0002931538,0.0001410732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006365948,0.0002310293,0.9543349,0.0005692577,0.0001938398,0.0006207869,0.0009237026,0.0003704485,0.007947167,0.000100765,0.001973717,0.03209792],"study_design_scores_gemma":[0.000008412929,0.0004009006,0.9957827,0.00004141865,0.00005668849,0.0001928938,0.0008372289,0.0001859607,0.001494857,0.00002893264,0.0009607829,0.00000918075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739122,0.0004276452,0.0006282897,0.00005433161,0.00002971561,0.0001853339,0.01521347,0.0000855691,0.00946342],"genre_scores_gemma":[0.988539,0.0002626923,0.0006629781,0.00002933015,0.00001943927,0.0001097015,0.006423665,0.00001746353,0.003935766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02984842,"threshold_uncertainty_score":0.05934936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871200906706725,"score_gpt":0.2292919543247212,"score_spread":0.210579945257654,"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."}}