{"id":"W3161553295","doi":"10.36336/akustika2021394","title":"3D NOISE MODELING AND ASSESSMENT IN THE DESIGN OF RESIDENTIAL AREAS","year":2021,"lang":"en","type":"article","venue":"Akustika","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Noise pollution; Noise (video); Apartment; Geographic information system; Residential area; City block; Block (permutation group theory); Computer science; Civil engineering; Geography; Environmental science; Architectural engineering; Remote sensing; Engineering; Archaeology; Noise reduction; Mathematics","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":[0.000492973,0.0008178736,0.0004453179,0.001358261,0.0003823404,0.00186092,0.0005760018,0.000689532,0.002285872],"category_scores_gemma":[0.00105356,0.0005346534,0.000908704,0.0008484789,0.0004358231,0.0007006049,0.0009984452,0.0002625423,0.0007799545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057527,"about_ca_system_score_gemma":0.0007287789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008819158,"about_ca_topic_score_gemma":0.0135372,"domain_scores_codex":[0.9995474,0.0001581066,0.00002686123,0.00007569901,0.0001584104,0.00003359245],"domain_scores_gemma":[0.9996942,0.0001426165,0.00003037492,0.0000368188,0.00007997491,0.0000160636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006346764,0.00004524064,0.007563008,0.000153188,0.00003699613,0.0001577342,0.0005560436,0.8999022,0.009069943,0.004551505,0.0008437407,0.07705686],"study_design_scores_gemma":[0.000004860653,0.00002957534,0.002711002,0.00002695951,0.00002253488,0.00007672744,0.0001715558,0.9878005,0.002464413,0.002355804,0.004311135,0.00002501707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07117892,0.0002947559,0.9207155,0.0001053653,0.00003141839,0.00009965964,0.0003240715,0.001158321,0.006092049],"genre_scores_gemma":[0.7179196,0.0006624547,0.276458,0.00003912637,0.00001605053,0.0001921347,0.0004358646,0.0002407296,0.004035991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008819158,"threshold_uncertainty_score":0.01753569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0901978631559342,"score_gpt":0.426779025705229,"score_spread":0.3365811625492948,"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."}}