{"id":"W4311521677","doi":"10.3390/f13122056","title":"Soundscape in Urban Forests","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Noise Effects and Management","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Soundscape; Urban forest; Geography; Environmental planning; Urban forestry; Environmental resource management; Noise (video); Sound (geography); Forestry; Environmental science; Computer science; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317836,0.0001664776,0.0002123704,0.0009853912,0.001259277,0.002633663,0.0003780579,0.0009151363,0.005532496],"category_scores_gemma":[0.00199856,0.0001168266,0.000288426,0.0007464113,0.001075566,0.0007492215,0.001249065,0.00091152,0.0005905866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009466007,"about_ca_system_score_gemma":0.001150474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158053,"about_ca_topic_score_gemma":0.01887243,"domain_scores_codex":[0.9994766,0.0001412377,0.00002476158,0.00006940464,0.0001532562,0.000134715],"domain_scores_gemma":[0.9992161,0.0002280319,0.0001685727,0.0000243717,0.0001738366,0.0001891685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001486476,0.001120722,0.2949564,0.003536254,0.0002712614,0.01260297,0.02595284,0.001497297,0.01537763,0.04361409,0.07045046,0.5291337],"study_design_scores_gemma":[0.00006481977,0.0009125315,0.6874526,0.003862106,0.0002069885,0.01885481,0.04602058,0.0008958259,0.002774063,0.03311898,0.2057208,0.0001159697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7774577,0.08657011,0.002925919,0.02478642,0.002674267,0.00006661868,0.0005320934,0.00007449504,0.1049123],"genre_scores_gemma":[0.9732958,0.01740687,0.0005285278,0.001991564,0.0008908635,0.00002564741,0.0001473656,0.00001581649,0.005697604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0158053,"threshold_uncertainty_score":0.03142661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963937878381532,"score_gpt":0.3717637230605946,"score_spread":0.3421243442767792,"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."}}