{"id":"W1994529244","doi":"10.1121/1.3655106","title":"Soundscape ecology: A worldwide network","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Soundscape; Natural (archaeology); Metadata; Situated; Data science; Environmental resource management; Computer science; Geography; Sound (geography); Environmental science; World Wide Web; Acoustics; Artificial intelligence","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":[0.001773297,0.0001126883,0.0003373563,0.00001139552,0.00058092,0.000002689705,0.0006657905,0.00007929533,0.0006617942],"category_scores_gemma":[0.0002140788,0.00005127217,0.0004242088,0.0002497232,0.0004339913,0.00004545815,0.0004030529,0.000863476,0.00003762044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007159476,"about_ca_system_score_gemma":0.0001315237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007917335,"about_ca_topic_score_gemma":0.000004163029,"domain_scores_codex":[0.9980041,0.0006787993,0.0005412948,0.00006904388,0.0002962083,0.000410602],"domain_scores_gemma":[0.99719,0.001420108,0.0008126115,0.000332107,0.0001535229,0.00009168148],"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":[0.0003256903,0.00018673,0.006753081,0.0001192471,0.0005778769,0.000001602713,0.005470532,0.001516391,0.0005470415,0.0002002698,0.9783669,0.005934659],"study_design_scores_gemma":[0.005203751,0.003423508,0.517092,0.001638771,0.0056392,0.00004740351,0.055337,0.0400066,0.0001448466,0.07110109,0.2994634,0.0009024527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2528296,0.002834866,0.5780606,0.08210585,0.01441886,0.00439592,0.00002198047,0.0001606102,0.06517171],"genre_scores_gemma":[0.9413126,0.0006505082,0.03495121,0.02003841,0.001110678,0.000008162435,1.960968e-7,0.00002775267,0.001900489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6884829,"threshold_uncertainty_score":0.7246182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250709355260605,"score_gpt":0.3267734228422289,"score_spread":0.2942663292896229,"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."}}