{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006261187,0.00009850175,0.0001484594,0.0001598155,0.0006027821,0.000005513434,0.0002090593,0.0000390923,0.002248299],"category_scores_gemma":[0.00005065254,0.00009211084,0.00004176101,0.0002660965,0.00001469345,0.00006146367,0.000477971,0.0004600244,0.0003668848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207834,"about_ca_system_score_gemma":0.00008434334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000384775,"about_ca_topic_score_gemma":0.02507993,"domain_scores_codex":[0.9985147,0.0003037577,0.0002514798,0.0002138376,0.0002441532,0.0004720569],"domain_scores_gemma":[0.999384,0.0001616146,0.0000820285,0.0002861553,0.00001503943,0.00007116998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004481262,0.00006798193,0.7409552,0.00007262879,0.00000746134,0.00004354971,0.00167131,0.0002377591,0.00001420973,0.02204089,0.2341104,0.0007338718],"study_design_scores_gemma":[0.0007345533,0.00009700485,0.6645582,0.00002278293,0.000004603999,5.546949e-7,0.0004951278,0.0003561512,0.000001393447,0.004475542,0.3291595,0.00009457604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675247,0.000143047,0.00006772452,0.0009236392,0.001364588,0.001093635,0.00001227847,0.00009726221,0.0287731],"genre_scores_gemma":[0.9846423,0.000002883289,0.00004199706,0.001045259,0.0001963332,0.0009245975,0.00003229608,0.00002475865,0.01308952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09504916,"threshold_uncertainty_score":0.9986638,"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."}}