{"id":"W2971940223","doi":"10.1044/leader.ftr1.24022019.44","title":"The Unheard Female Voice","year":2019,"lang":"en","type":"article","venue":"ASHA Leader","topic":"Digital Communication and Language","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audiology; Psychology; Communication; Medicine; Medical emergency; Speech recognition; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001586715,0.0008244051,0.0005327589,0.0009470716,0.006549899,0.007001196,0.0007068813,0.002696674,0.4546811],"category_scores_gemma":[0.008200765,0.0004298608,0.000404312,0.0007328637,0.001434439,0.006408113,0.006619594,0.003660497,0.2854847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244732,"about_ca_system_score_gemma":0.001310394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003122037,"about_ca_topic_score_gemma":0.006060101,"domain_scores_codex":[0.9977943,0.0006099123,0.0000618654,0.0003011842,0.000708166,0.0005245522],"domain_scores_gemma":[0.996487,0.0005382879,0.0002213811,0.0003337521,0.001171935,0.001247522],"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":[0.00002724062,0.00001161899,0.0002733528,0.00005790216,0.000001990431,0.0001781934,0.002196106,0.000005585381,0.0003894806,0.004608832,0.9555125,0.03673711],"study_design_scores_gemma":[0.000001940942,0.000006612951,0.0001781516,0.00005166181,0.000001025289,0.0001562796,0.001635205,0.000006967863,0.000112487,0.0002573619,0.9975871,0.0000052774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005256352,0.004321815,0.002274887,0.09089173,0.03116787,0.0001047746,0.00155787,0.002092328,0.8623323],"genre_scores_gemma":[0.01825823,0.001183177,0.0003150836,0.02087694,0.002770258,0.00005821905,0.0003061395,0.0009187881,0.9553131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4546811,"threshold_uncertainty_score":0.7778312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903827672982096,"score_gpt":0.2534260158338016,"score_spread":0.2343877391039806,"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."}}