{"id":"W3204290074","doi":"10.82308/29540","title":"Perceptual and semantic dimensions of sound mass","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Sound (geography); Computer science; Communication; Artificial intelligence; Psychology; Acoustics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283366,0.0004862927,0.0003358682,0.002627482,0.0009174455,0.004793542,0.0007368164,0.001150034,0.004530421],"category_scores_gemma":[0.01064494,0.0004035421,0.0004037297,0.001315568,0.007184939,0.008145004,0.003308821,0.001024422,0.0002581321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007966373,"about_ca_system_score_gemma":0.0004321517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000488988,"about_ca_topic_score_gemma":0.0004502686,"domain_scores_codex":[0.9977737,0.0007005591,0.0002277371,0.0003778589,0.0008062847,0.0001137727],"domain_scores_gemma":[0.9952303,0.002663568,0.0007119841,0.0005571829,0.0006281005,0.0002089227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000935508,0.0001596987,0.02220902,0.001426064,0.0001424436,0.0006112723,0.05674956,0.001946303,0.0522622,0.689415,0.001690783,0.1724521],"study_design_scores_gemma":[0.0001286684,0.0007873045,0.177099,0.0007505129,0.0002752838,0.002586182,0.05799068,0.01096487,0.0099773,0.6957982,0.04342812,0.0002139511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6377907,0.003534702,0.1367358,0.002980832,0.000372346,0.0001844683,0.0002574494,0.0003313239,0.2178123],"genre_scores_gemma":[0.9882113,0.0003836054,0.00991761,0.0001325906,0.00007771018,0.00004786412,0.00007639684,0.00003480419,0.001118007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004793542,"threshold_uncertainty_score":0.01515579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286447246291338,"score_gpt":0.4397910012753213,"score_spread":0.3469265288124079,"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."}}