{"id":"W2944613641","doi":"10.1097/01.hj.0000559493.29061.35","title":"Make Quality Hearing Health Information Available to All","year":2019,"lang":"en","type":"article","venue":"The Hearing Journal","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"London School of Economics and Political Science; World Health Organization","keywords":"Hearing loss; Health care; Psychological intervention; The Internet; Population; Quality (philosophy); Globe; Internet privacy; Medicine; Public relations; Psychology; Medical education; Nursing; Audiology; Computer science; Political science; Environmental health; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005404401,0.0007182115,0.0005081618,0.002704369,0.001805033,0.006438005,0.001754006,0.002983178,0.2025718],"category_scores_gemma":[0.04164546,0.0003935637,0.0007462864,0.00152702,0.0008704214,0.009681914,0.009909824,0.002167945,0.1171067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018335,"about_ca_system_score_gemma":0.003595216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002884281,"about_ca_topic_score_gemma":0.004745166,"domain_scores_codex":[0.9952637,0.001301143,0.0002943165,0.0004707771,0.002255721,0.0004143002],"domain_scores_gemma":[0.9797184,0.004337315,0.001379014,0.002520639,0.007394977,0.0046496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000444901,0.00012974,0.001990306,0.0004843157,0.00002583265,0.00009691988,0.0006338002,0.00006529595,0.0006581369,0.004142479,0.6687285,0.3230002],"study_design_scores_gemma":[0.00003674877,0.00005367012,0.003357955,0.0005717234,0.00002827922,0.0002242684,0.0008601948,0.0001488297,0.0005488741,0.006294989,0.9878501,0.0000242579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01143937,0.01547831,0.02879575,0.2528786,0.01983735,0.001117664,0.01333221,0.01217773,0.6449431],"genre_scores_gemma":[0.2389634,0.03942307,0.0925945,0.1755618,0.03803484,0.001566696,0.03069752,0.005952485,0.3772056],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2025718,"threshold_uncertainty_score":0.6776701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08807050101718658,"score_gpt":0.4079601867612465,"score_spread":0.3198896857440598,"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."}}