{"id":"W2022341426","doi":"10.1016/j.buildenv.2011.07.004","title":"A methodology for predicting particle penetration factor through cracks of windows and doors for actual engineering application","year":2011,"lang":"en","type":"article","venue":"Building and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Penetration (warfare); Doors; ASHRAE 90.1; Environmental science; Penetration test; Hammer; Settling; Engineering; Forensic engineering; Geotechnical engineering; Structural engineering; Environmental engineering; Meteorology; Operations research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000389121,0.00007598942,0.0001143946,0.000008069082,0.00009495359,0.000004655366,0.00003763166,0.00005751094,0.00003771807],"category_scores_gemma":[0.00007124602,0.00007186981,0.00001880565,0.00001807367,0.00006229573,0.0001228601,0.00003847718,0.00003577964,0.000001007055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003787,"about_ca_system_score_gemma":0.000002438661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000146021,"about_ca_topic_score_gemma":0.000008499496,"domain_scores_codex":[0.9993587,0.00002328087,0.0001824818,0.0001914006,0.00006561728,0.0001785569],"domain_scores_gemma":[0.999562,0.000202745,0.00008553659,0.0000816951,0.000001359288,0.00006667141],"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":[0.0006353472,0.000372282,0.2300067,0.0007081279,0.00008755177,3.96992e-7,0.04802817,0.01718165,0.3805727,0.007861102,0.0002258411,0.3143201],"study_design_scores_gemma":[0.001768735,0.001245653,0.6664695,0.00003750889,0.00009017329,0.000007728791,0.000795169,0.1484192,0.1605648,0.00694859,0.0132607,0.0003921603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5898198,0.00003744126,0.4096507,0.000114045,0.00001410667,0.0003309069,0.000008434316,0.000008460137,0.00001616683],"genre_scores_gemma":[0.8409569,0.0000488689,0.1587765,0.00007930832,0.00002059716,0.00009683859,0.000002318165,0.00000736763,0.00001129763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4364628,"threshold_uncertainty_score":0.2930765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270057277277472,"score_gpt":0.3206864772457132,"score_spread":0.193680749517966,"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."}}