{"id":"W4408956965","doi":"10.1097/aud.0000000000001656","title":"Social Predictors of Hearing Aid Purchase: Do Stigma, Social Network Composition, Social Support, and Loneliness Matter?","year":2025,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Loneliness; Hearing aid; Social support; Medicine; Logistic regression; Social network (sociolinguistics); Hearing loss; Stigma (botany); Psychology; Audiology; Gerontology; Psychiatry; Social media; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127985,0.0001294065,0.0002688687,0.00009026046,0.001062538,0.0001030933,0.00007389432,0.00012235,0.0000249586],"category_scores_gemma":[0.00003280954,0.0001325905,0.00006187186,0.0002283198,0.0002902407,0.0001324557,0.0001485989,0.0002174713,0.000004071404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002936611,"about_ca_system_score_gemma":0.00005771564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008255847,"about_ca_topic_score_gemma":0.000003036175,"domain_scores_codex":[0.9987655,0.0001047471,0.0003119412,0.0003258003,0.0001935362,0.0002984634],"domain_scores_gemma":[0.9996624,0.0001071256,0.00007395975,0.00006427007,0.00004123681,0.0000509983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004382851,0.0003403129,0.5950047,0.00181262,0.00008879279,0.00001941487,0.02677319,0.0002318274,0.3010014,0.04437411,0.008371897,0.02154346],"study_design_scores_gemma":[0.0007489149,0.00005145386,0.9941965,0.00008286761,0.00002837128,0.000005697249,0.0002456951,0.0002109546,0.001618471,0.001656562,0.0009890635,0.0001654085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959766,0.00005706647,0.0003440893,0.001838329,0.0002520202,0.0001789768,0.00001233471,0.00004736168,0.001293186],"genre_scores_gemma":[0.9988234,0.00001291163,0.000117677,0.0002896824,0.0005544127,0.000008525059,0.000003854206,0.00001444216,0.0001751199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3991919,"threshold_uncertainty_score":0.8172294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590960041923174,"score_gpt":0.3029032561537181,"score_spread":0.2769936557344864,"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."}}