{"id":"W2517945028","doi":"","title":"Exterior Noise Ingress in Greater Vancouver Residential Buildings: Prediction versus Field Measurements","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facade; Noise (video); Noise control; Noise measurement; Engineering; Civil engineering; Computer science; Environmental science; Transport engineering; Noise reduction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006499741,0.0001316867,0.0001062012,0.0002998152,0.00003006479,0.00002414229,0.0001510992,0.0001662396,0.00007157234],"category_scores_gemma":[0.0001697093,0.0001176779,0.00002319871,0.00014397,0.00002136537,0.0001009911,0.00001585472,0.000125277,0.00001887169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571964,"about_ca_system_score_gemma":0.00004286907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392709,"about_ca_topic_score_gemma":0.01679552,"domain_scores_codex":[0.9992388,0.000004692054,0.0001508604,0.0001399625,0.0001157258,0.0003499054],"domain_scores_gemma":[0.9995967,0.00003197952,0.00001160187,0.0002059603,0.00002802656,0.0001257612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001609943,0.0000289479,0.0638567,0.0003371447,0.0002948461,0.0005644776,0.0005244851,0.1170762,0.2932076,0.0001090201,0.3590396,0.1647999],"study_design_scores_gemma":[0.02113658,0.001429469,0.5427744,0.004838902,0.0006108604,0.00005789461,0.00110677,0.08949976,0.2456782,0.00100401,0.08560799,0.006255073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723466,0.0001299944,0.01858455,0.00009947676,0.006270624,0.000146366,0.00006605798,0.000598877,0.001757464],"genre_scores_gemma":[0.9989783,0.00003862764,0.0006331178,0.00001724431,0.0001354642,0.00001497317,0.000001387817,0.00003076247,0.000150161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4789177,"threshold_uncertainty_score":0.9372293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015076800103416,"score_gpt":0.1968977089916445,"score_spread":0.1818209088882285,"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."}}