{"id":"W2982087802","doi":"10.1145/3308561.3354634","title":"Gauging Interest in Digital Personalized Simulations of Hearing Loss For Parents of DHH Children","year":2019,"lang":"en","type":"article","venue":"","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Hearing loss; Audiology; Medicine","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":[0.001175676,0.0001802491,0.0001290464,0.0004111541,0.0002903033,0.0005578995,0.00018949,0.0003946646,0.002183369],"category_scores_gemma":[0.008397423,0.0001321843,0.0001717156,0.0001190279,0.0003187903,0.0004160953,0.0006218674,0.0005048227,0.0002072745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004164161,"about_ca_system_score_gemma":0.0001895147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790474,"about_ca_topic_score_gemma":0.003048377,"domain_scores_codex":[0.9995629,0.0001961367,0.00003816764,0.00004495991,0.00009802874,0.00005976123],"domain_scores_gemma":[0.9955739,0.002165026,0.00120237,0.0001648227,0.0003888014,0.0005050483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002879258,0.0003211925,0.9271833,0.0001107374,0.00003021509,0.0008607225,0.04044429,0.000340229,0.004988356,0.000178405,0.0005194813,0.02473512],"study_design_scores_gemma":[0.00001522556,0.0007754423,0.9279402,0.00005715177,0.00004719401,0.001232566,0.06257509,0.001213715,0.003284399,0.0002269096,0.002591232,0.00004091529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994602,0.00002433079,0.00009915308,0.00002977865,0.000001017002,0.000005796157,0.00001728091,0.000002416368,0.0003600775],"genre_scores_gemma":[0.9992,0.00007658311,0.0003597555,0.0000208137,0.000001747725,0.0000189392,0.00002819835,0.000001159252,0.0002927612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002183369,"threshold_uncertainty_score":0.007304132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06101733396442153,"score_gpt":0.3177380954052197,"score_spread":0.2567207614407981,"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."}}