{"id":"W2801338149","doi":"10.29173/pandpr29353","title":"Voice No Voice Counter Voice...","year":2018,"lang":"en","type":"article","venue":"Phenomenology & Practice","topic":"Sound Studies and Aurality","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"S Voice; Speech recognition; Voice analysis; Computer science; Communication; Psychology","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":[0.005436555,0.002074286,0.002352585,0.00222447,0.002487152,0.007075323,0.002988832,0.01337419,0.01862264],"category_scores_gemma":[0.03811108,0.0008589759,0.001627957,0.0008610069,0.003693999,0.004023666,0.00197516,0.01930273,0.01007685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606948,"about_ca_system_score_gemma":0.001759655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007986907,"about_ca_topic_score_gemma":0.001383809,"domain_scores_codex":[0.9958235,0.0008488474,0.0005376244,0.0007333293,0.001760875,0.000295889],"domain_scores_gemma":[0.9619378,0.02073992,0.002238876,0.001402558,0.010367,0.003313821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004234841,0.00001076007,0.00002216186,0.0003346355,0.00001375286,0.0001826189,0.00002124029,0.00001188415,0.00006763928,0.0004058589,0.9934077,0.005479378],"study_design_scores_gemma":[0.00005506488,0.0000405453,0.0003034823,0.0007941822,0.00003677864,0.0004496681,0.00008896192,0.0001098927,0.0002260409,0.001306786,0.9965688,0.00001967847],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00003966362,0.001973595,0.00006941779,0.02474948,0.9721795,0.00001188344,0.00002879323,0.00003051796,0.0009172705],"genre_scores_gemma":[0.0005142885,0.00164067,0.00005700458,0.01697474,0.9769637,0.00001451924,0.00001309615,0.00001691341,0.003805144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01862264,"threshold_uncertainty_score":0.06229895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982096968689194,"score_gpt":0.3667978967160349,"score_spread":0.3269769270291429,"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."}}