{"id":"W3185505598","doi":"10.2196/24903","title":"Encouraging Hearing Loss Prevention in Music Listeners Using Personalized Technology: Questionnaire Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise-induced hearing loss; Hearing loss; Respondent; Active listening; Medicine; Audiology; Feeling; Applied psychology; Psychology; Noise exposure; Social psychology; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004409259,0.0002715784,0.0004784026,0.0007614825,0.0006088522,0.0009662506,0.0003007316,0.0008072824,0.002338595],"category_scores_gemma":[0.008231005,0.0003985287,0.0006695183,0.0006330638,0.0004068199,0.00103028,0.0006336216,0.0008864441,0.0007404619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249037,"about_ca_system_score_gemma":0.0006432836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475651,"about_ca_topic_score_gemma":0.001942605,"domain_scores_codex":[0.9983303,0.000667778,0.0002842422,0.0001468112,0.0003139769,0.0002570229],"domain_scores_gemma":[0.9942081,0.00238186,0.00151219,0.0001967422,0.0009367046,0.0007644059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005380916,0.004116745,0.9149593,0.001071376,0.0002055362,0.0006610531,0.03617604,0.0002982272,0.002308189,0.0002276602,0.002284002,0.03715388],"study_design_scores_gemma":[0.0001839168,0.006483878,0.9279955,0.0003922653,0.0001585176,0.0008811547,0.05198312,0.001552098,0.0006386604,0.0001149992,0.009510714,0.0001051212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988109,0.0000778887,0.0001654283,0.00009632034,0.000006138668,0.0002356555,0.0001843111,0.000004420247,0.0004189744],"genre_scores_gemma":[0.9965926,0.0003649615,0.0009727495,0.0004562565,0.0000166872,0.0007886812,0.0002208723,0.000004880328,0.0005823481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004409259,"threshold_uncertainty_score":0.02331865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504110241504868,"score_gpt":0.4566150853989946,"score_spread":0.3062040612485079,"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."}}