{"id":"W7048651542","doi":"","title":"Mapping and Mitigating Urban Noise: A Case Study of Loja, Ecuador's Soundscape","year":2024,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Crystallography and Radiation Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Técnica Particular de Loja","keywords":"Noise pollution; Noise (video); Soundscape; Noise control; Traffic noise; Traffic flow (computer networking); Urban area; Sampling (signal processing)","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":[0.0003572539,0.0004427364,0.0002396745,0.001096368,0.001186759,0.0009431604,0.0008025358,0.0005536959,0.001082489],"category_scores_gemma":[0.001357252,0.000118841,0.0001650472,0.00105321,0.0004536069,0.000531701,0.0007898058,0.0002616853,0.000104063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007687588,"about_ca_system_score_gemma":0.0005020321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03726077,"about_ca_topic_score_gemma":0.06555553,"domain_scores_codex":[0.9997514,0.00008649229,0.00001755709,0.00004293001,0.00004772478,0.00005404075],"domain_scores_gemma":[0.9996787,0.0001252543,0.0000536647,0.00002335253,0.00009157998,0.00002748356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006920344,0.001868888,0.4180293,0.001261382,0.0001818956,0.08926586,0.06233899,0.02508534,0.03089631,0.003939441,0.004767379,0.3616732],"study_design_scores_gemma":[0.00008179595,0.001100115,0.5738087,0.0004687988,0.0003130859,0.006265584,0.3224646,0.04002487,0.01568814,0.001725536,0.0379429,0.0001158746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952512,0.0001851605,0.001811378,0.0001491273,0.000006075228,0.00005786786,0.00007350708,0.00002265883,0.002443091],"genre_scores_gemma":[0.9937924,0.0003124773,0.003943288,0.00003325861,0.000005628911,0.00005138379,0.00008227771,0.00001033541,0.001769008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03726077,"threshold_uncertainty_score":0.0740878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008473000787400622,"score_gpt":0.2191273736186961,"score_spread":0.2106543728312955,"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."}}