{"id":"W3107929640","doi":"10.3389/fpsyg.2020.570797","title":"A Tale of Three Misters: The Effect of Water Features on Soundscape Assessments in a Montreal Public Space","year":2020,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Noise Effects and Management","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Centre for Interdisciplinary Research in Music Media and Technology; McGill University","keywords":"Soundscape; Feature (linguistics); Masking (illustration); Mist; Space (punctuation); Loudness; Field (mathematics); Public space; Psychology; Urban design; Computer science; Architectural engineering; Geography; Acoustics; Engineering; Civil engineering; Sound (geography); Meteorology; Urban planning; Mathematics; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008650031,0.0009017594,0.0004307051,0.0005666053,0.002466851,0.001474787,0.001401149,0.001327677,0.002836318],"category_scores_gemma":[0.02507787,0.000432215,0.001182619,0.0004306837,0.002873503,0.001603127,0.002109047,0.001276242,0.0002755136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00348072,"about_ca_system_score_gemma":0.00215729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08859396,"about_ca_topic_score_gemma":0.2315129,"domain_scores_codex":[0.9937521,0.003333457,0.0001952162,0.0007283057,0.001542897,0.0004480479],"domain_scores_gemma":[0.9820677,0.01090879,0.001410386,0.001825656,0.002511346,0.001276203],"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":[0.006103349,0.002775475,0.3085045,0.001489237,0.0009066401,0.002518385,0.1244278,0.008070355,0.1836,0.002010963,0.009120233,0.3504731],"study_design_scores_gemma":[0.0002517741,0.0213442,0.8515797,0.0002969544,0.0004886245,0.0004492046,0.0552721,0.005453791,0.04182895,0.001185964,0.02130234,0.0005463262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939156,0.0001793448,0.002584707,0.0006742611,0.0000657198,0.0001418641,0.00007102948,0.00008378471,0.00228368],"genre_scores_gemma":[0.9926685,0.0001024687,0.005063161,0.0003512525,0.00002859272,0.0001178319,0.00004567204,0.00003696483,0.001585493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.911406,"threshold_uncertainty_score":0.1761566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183987685136325,"score_gpt":0.3900929360421213,"score_spread":0.358253059190758,"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."}}