{"id":"W4400613289","doi":"10.1016/j.apergo.2024.104343","title":"Assessing the multidimensional comfort of earplugs in virtual industrial noise environments","year":2024,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure; McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Institut National de Recherche et de Sécurité; Mitacs; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Université de Sherbrooke; Institut de recherche Robert-Sauve","keywords":"Dimension (graph theory); Replicate; Perception; Noise (video); Computer science; Engineering; Simulation; Psychology; Artificial intelligence; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001746927,0.0006481101,0.0003457195,0.0005436461,0.0001992359,0.0007364913,0.000384756,0.00036324,0.001810245],"category_scores_gemma":[0.004929991,0.0001911885,0.0003630828,0.0001615917,0.0003732167,0.0007133985,0.0009982568,0.0002245703,0.0001892302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427836,"about_ca_system_score_gemma":0.0002200383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002620241,"about_ca_topic_score_gemma":0.0004014661,"domain_scores_codex":[0.9987636,0.0005627527,0.0001093112,0.0001132363,0.0003729233,0.0000783274],"domain_scores_gemma":[0.9972023,0.001373332,0.0005183414,0.0001842319,0.0004983106,0.0002235298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003057132,0.001482476,0.09844456,0.001652851,0.0002024459,0.0006428197,0.006095249,0.004741752,0.7498097,0.0005366203,0.0004694507,0.1328649],"study_design_scores_gemma":[0.0001641769,0.02488708,0.7364791,0.0003063437,0.0003448696,0.002374904,0.009926446,0.01272965,0.2076514,0.0007978428,0.004023256,0.0003150452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813516,0.0001564229,0.01741435,0.00001671153,0.00001168101,0.0001244307,0.00005604833,0.00005737376,0.0008114395],"genre_scores_gemma":[0.9872833,0.0001638028,0.01191388,0.00002770316,0.000009759303,0.0001163941,0.00006348801,0.00001091146,0.0004106761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810245,"threshold_uncertainty_score":0.00923872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493369279882318,"score_gpt":0.3687249855952698,"score_spread":0.3137912927964467,"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."}}