{"id":"W2150861851","doi":"10.1177/1084713811430217","title":"Factors in Client–Clinician Interaction That Influence Hearing Aid Adoption","year":2011,"lang":"en","type":"article","venue":"Trends in Amplification","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hearing aid; Hearing loss; MEDLINE; Audiology; Computer science; Psychology; Medicine; Political science","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":[0.01017485,0.0002044393,0.0003190673,0.0007565936,0.001812227,0.002576211,0.0005325723,0.0007273054,0.003266106],"category_scores_gemma":[0.07870141,0.0003507389,0.0003900539,0.0007043688,0.001251605,0.00089527,0.001376178,0.0011383,0.0003033619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002459955,"about_ca_system_score_gemma":0.005504179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00710035,"about_ca_topic_score_gemma":0.008529192,"domain_scores_codex":[0.9729726,0.01795816,0.002049749,0.0007363699,0.004541435,0.001741609],"domain_scores_gemma":[0.9145373,0.06390691,0.01242562,0.001125467,0.004587907,0.003416737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003807461,0.0007582375,0.806653,0.0003223756,0.0001541099,0.001022863,0.1053855,0.0004366375,0.00170098,0.0008244849,0.001283874,0.08107725],"study_design_scores_gemma":[0.00006413233,0.0006097638,0.8499333,0.0003402233,0.0001301102,0.003012791,0.1334368,0.003302424,0.001540936,0.0009444188,0.006561208,0.0001238791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952118,0.0003391193,0.001131015,0.0009093289,0.00001195212,0.0000618894,0.00001440443,0.00001668806,0.002303755],"genre_scores_gemma":[0.9989551,0.0001183401,0.0006130033,0.00009109695,0.000006341069,0.00002852876,0.00001060782,0.000004578434,0.000172336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01017485,"threshold_uncertainty_score":0.05381042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4553794283149377,"score_gpt":0.502801604501774,"score_spread":0.04742217618683636,"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."}}