{"id":"W4382315552","doi":"10.3390/su15139977","title":"Field Measurements and Human Perception to Remediate Noise Pollution in the Urban Public Parks in Saudi Arabia","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Noise Effects and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Qassim University","keywords":"Noise (video); Noise pollution; Traffic noise; National park; Pollution; Geography; Noise level; Environmental science; Sound pressure; Ecology; Archaeology; Engineering; Acoustics; Telecommunications; Noise reduction; Biology; Physics; Computer science","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":[0.005783204,0.0001173095,0.0001657327,0.0002716292,0.0004044587,0.00002311711,0.0001587434,0.0001097833,0.00006269747],"category_scores_gemma":[0.002068551,0.00008907323,0.00002908033,0.0007501238,0.00003532247,0.0001366621,0.0001887898,0.000391144,0.00003090466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005023,"about_ca_system_score_gemma":0.0001370316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090612,"about_ca_topic_score_gemma":0.008474277,"domain_scores_codex":[0.9971933,0.001260065,0.0003610906,0.0003355428,0.0002813198,0.0005686792],"domain_scores_gemma":[0.9990845,0.0002055666,0.00006041348,0.0003976718,0.0001661394,0.00008568166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000069019,0.0001117249,0.9534696,0.0005691925,0.000004255001,0.000008883958,0.01311413,0.00001724334,0.0002073709,0.001857467,0.02421416,0.006356922],"study_design_scores_gemma":[0.0005223246,0.0001257009,0.9724046,0.00004493934,0.000004911502,5.312227e-8,0.01236084,0.00003292199,0.000001867659,0.00618998,0.00822032,0.00009152389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509268,0.00001165627,0.00003279686,0.04482933,0.0001777525,0.002742468,0.000001819615,0.00006225046,0.001215116],"genre_scores_gemma":[0.99637,0.000007664597,0.000009487496,0.002332842,0.00009688549,0.0006455245,0.00001323194,0.000009040468,0.0005153313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04544318,"threshold_uncertainty_score":0.4728846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237371361920824,"score_gpt":0.4037409801146618,"score_spread":0.3413672664954536,"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."}}