{"id":"W4389665176","doi":"10.2196/49969","title":"Cross-Modal Sensory Boosting to Improve High-Frequency Hearing Loss: Device Development and Validation","year":2023,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boosting (machine learning); Modal; Audiology; Sensory system; Hearing loss; Computer science; Psychology; Medicine; Artificial intelligence; Cognitive psychology; Materials science","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":[0.002282201,0.0006569367,0.0005722874,0.0006982756,0.0001674687,0.000689421,0.001114443,0.0008712092,0.00411302],"category_scores_gemma":[0.002611993,0.0002497106,0.0006868014,0.0002302093,0.0003148003,0.0005681972,0.001004282,0.0004434484,0.0008135375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906648,"about_ca_system_score_gemma":0.0003801137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006011557,"about_ca_topic_score_gemma":0.0007285438,"domain_scores_codex":[0.9992811,0.0001605076,0.00005996952,0.0001102153,0.0003147259,0.00007354531],"domain_scores_gemma":[0.9988698,0.0002836281,0.00008691433,0.0001223698,0.0005793308,0.00005792874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002509525,0.002424949,0.01006206,0.001871374,0.0003318864,0.0005759299,0.0005243137,0.007603725,0.5448208,0.0006411222,0.002666074,0.4259683],"study_design_scores_gemma":[0.001191627,0.05518545,0.1255942,0.001024262,0.001418185,0.006801073,0.0009683181,0.1716842,0.6004629,0.001350715,0.03391767,0.000401452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6895947,0.005147123,0.2958238,0.0004651934,0.0004387158,0.001654668,0.0007119078,0.001977099,0.004186801],"genre_scores_gemma":[0.8707712,0.001634939,0.121318,0.0004618276,0.00004599563,0.0007745263,0.0004457758,0.00009242598,0.004455334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00411302,"threshold_uncertainty_score":0.01375943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07621648500749494,"score_gpt":0.3473212138731239,"score_spread":0.2711047288656289,"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."}}