{"id":"W7065556377","doi":"","title":"Effect of Acoustic Treatment and Table Dividers on Diners’ Experience in a Montréal Restaurant","year":2023,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Soundscape; Active listening; Table (database); Ceiling (cloud); Audio feedback; Noise (video)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001145799,0.0005664841,0.0005684491,0.0002843582,0.0009068862,0.00077016,0.0006197619,0.0005808073,0.007528645],"category_scores_gemma":[0.003565576,0.0002521064,0.0005581117,0.0002130715,0.0006477053,0.0002866657,0.0006723644,0.000580238,0.0004305782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056554,"about_ca_system_score_gemma":0.001006945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02928775,"about_ca_topic_score_gemma":0.08226284,"domain_scores_codex":[0.9987436,0.0005183234,0.00005823264,0.0001952206,0.0002637242,0.0002209049],"domain_scores_gemma":[0.9979371,0.0008425768,0.0002529276,0.0001386429,0.0002593796,0.0005694514],"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":[0.0341729,0.04347812,0.2064404,0.003115296,0.001297523,0.001841514,0.05676209,0.002092973,0.3005165,0.0004383756,0.003980587,0.3458637],"study_design_scores_gemma":[0.0005460612,0.02686616,0.9302827,0.0001080537,0.0003897275,0.0001204397,0.02233423,0.0008093079,0.01134294,0.00006010503,0.006997934,0.00014235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987362,0.00009816002,0.000177303,0.0000485592,0.00001529474,0.00005940837,0.00004831672,0.00002044242,0.0007963734],"genre_scores_gemma":[0.9952165,0.0001534987,0.001463079,0.00007776933,0.00002049362,0.0001316656,0.0001057448,0.00001299968,0.002818165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9707122,"threshold_uncertainty_score":0.05823457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009754859208678687,"score_gpt":0.2223114124321569,"score_spread":0.2125565532234782,"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."}}