{"id":"W1995117235","doi":"10.1177/108471380500900403","title":"The Desired Sensation Level Multistage Input/Output Algorithm","year":2005,"lang":"en","type":"review","venue":"Trends in Amplification","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":390,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Digital subscriber line; Loudness; Active listening; Computer science; Key (lock); Hearing aid; Algorithm; Audiology; Psychology; Telecommunications; Medicine; Communication; Computer security","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":[0.001302344,0.0007058605,0.000608246,0.0008225259,0.0003147418,0.001585276,0.00173361,0.0009724077,0.01077201],"category_scores_gemma":[0.002267662,0.000404442,0.0008621891,0.0007146298,0.0007439272,0.001059505,0.001142339,0.001248533,0.00499249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219951,"about_ca_system_score_gemma":0.001382108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204815,"about_ca_topic_score_gemma":0.001300046,"domain_scores_codex":[0.9990594,0.0001482886,0.00009456972,0.0001557179,0.000484169,0.00005792868],"domain_scores_gemma":[0.9994528,0.0002089012,0.00003889959,0.00005321078,0.0002276707,0.00001862698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001645253,0.0000379109,0.000547952,0.0007527424,0.00003951248,0.0001424174,0.0001463546,0.01718308,0.01784761,0.03956861,0.005533958,0.9180353],"study_design_scores_gemma":[0.0002119302,0.0006308886,0.002806539,0.0007857183,0.0001685449,0.002917483,0.0001583987,0.5879893,0.06804146,0.06137336,0.2747591,0.000157403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001458394,0.001363003,0.9875745,0.0001556355,0.0001001516,0.0001269917,0.00005346778,0.0008772061,0.008290751],"genre_scores_gemma":[0.05233533,0.002500782,0.9326629,0.0003014812,0.00008631628,0.0003607004,0.0002182677,0.0001969893,0.01133728],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01077201,"threshold_uncertainty_score":0.03603601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3029951939400817,"score_gpt":0.4189805593939124,"score_spread":0.1159853654538306,"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."}}