{"id":"W2803082496","doi":"10.1097/aud.0000000000000547","title":"Evidence-Based Occupational Hearing Screening I: Modeling the Effects of Real-World Noise Environments on the Likelihood of Effective Speech Communication","year":2018,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Noise (video); Computer science; Intelligibility (philosophy); Speech recognition; Enforcement; Task (project management); Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02659442,0.001613151,0.002019086,0.002797147,0.0003794035,0.002548731,0.002444837,0.002160464,0.002312561],"category_scores_gemma":[0.1183343,0.0009193206,0.003072833,0.001366922,0.0008171908,0.001088679,0.001434645,0.001137988,0.0003421065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242071,"about_ca_system_score_gemma":0.004510711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236752,"about_ca_topic_score_gemma":0.0108269,"domain_scores_codex":[0.9824867,0.01355576,0.001338422,0.001004116,0.001393296,0.0002217002],"domain_scores_gemma":[0.9192376,0.07151517,0.005712837,0.001034237,0.002062152,0.000438094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004439321,0.001823148,0.2574278,0.01396742,0.01193504,0.0005238602,0.0004951765,0.5225472,0.0006510778,0.003167244,0.001563603,0.1814591],"study_design_scores_gemma":[0.002311617,0.00930019,0.136324,0.01403661,0.0203838,0.0004907681,0.0008522638,0.7987354,0.00193874,0.01055301,0.004841281,0.0002322359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443128,0.04226236,0.1933845,0.004047513,0.0003119068,0.003170079,0.004359904,0.0004018907,0.007749029],"genre_scores_gemma":[0.9625996,0.005714012,0.02937638,0.0002547806,0.00005138865,0.0008768522,0.0006740866,0.0000157191,0.000437106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02659442,"threshold_uncertainty_score":0.1406464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940308328380788,"score_gpt":0.3198684038374271,"score_spread":0.2404653205536192,"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."}}