{"id":"W1490970791","doi":"","title":"Noise Mapping of an Educational Environment","year":2013,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Deutscher Akademischer Austauschdienst","keywords":"Noise (video); Noise pollution; Acoustics; Software; Range (aeronautics); Ambient noise level; Environmental science; Computer science; Remote sensing; Geography; Sound (geography); Engineering; Noise reduction; Physics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001383263,0.00007178793,0.00009637461,0.0001210708,0.0002147166,0.000005295828,0.0001151657,0.00006420252,0.006203593],"category_scores_gemma":[0.0000471994,0.00006988359,0.000016954,0.00005362009,0.00003285913,0.0000642689,0.00002757619,0.0001324146,0.001036311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302524,"about_ca_system_score_gemma":0.000502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06351206,"about_ca_topic_score_gemma":0.003883481,"domain_scores_codex":[0.9992031,0.0000630672,0.0001968885,0.0001187837,0.0001000218,0.0003181609],"domain_scores_gemma":[0.9991376,0.00008689608,0.00006940781,0.0002419399,0.00004575731,0.0004183656],"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":[0.000007072845,0.0002641189,0.02943404,0.001231749,0.0001281325,0.00001866227,0.006752816,0.002809783,0.0859407,0.03245441,0.7973152,0.04364333],"study_design_scores_gemma":[0.000332018,0.00005137015,0.9143826,0.00008728213,0.00002905598,4.793366e-7,0.002757879,0.003188889,0.00001408486,0.002343635,0.07661212,0.0002006138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631653,0.00005274562,0.001519207,0.003800341,0.0008936941,0.001195941,0.0000638698,0.00001676159,0.02929214],"genre_scores_gemma":[0.986728,0.00001482781,0.003158937,0.00218292,0.0002940354,0.0001213055,0.00004495825,0.00001586193,0.007439231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8849486,"threshold_uncertainty_score":0.9997415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540179359400623,"score_gpt":0.3097117860345289,"score_spread":0.2843099924405226,"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."}}