{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001001274,0.000361533,0.0004523569,0.00009622293,0.0005828033,0.00007116725,0.0005584775,0.0002859448,0.005159675],"category_scores_gemma":[0.001356389,0.0003379341,0.0001017593,0.0003393336,0.0007681831,0.0005169197,0.0002913024,0.0006492141,0.08789784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367905,"about_ca_system_score_gemma":0.00005882312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112825,"about_ca_topic_score_gemma":0.0001930416,"domain_scores_codex":[0.996763,0.0006106854,0.0005196308,0.0008722799,0.0002617139,0.0009726949],"domain_scores_gemma":[0.9960527,0.001606058,0.0004516301,0.001051228,0.00069129,0.0001471075],"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":[0.006861787,0.004322614,0.03496867,0.00009909271,0.006268931,0.0004713081,0.06401344,0.000001896672,0.001882362,0.1019662,0.758019,0.02112464],"study_design_scores_gemma":[0.001059509,0.0007164786,0.0170805,0.000006405858,0.0002204396,0.0001578664,0.006685337,0.000008391824,0.00001240195,0.001493413,0.9721866,0.0003726846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1393571,0.001974697,0.0004113937,0.01810355,0.007220556,0.0004001629,0.00003358381,0.0003048419,0.8321941],"genre_scores_gemma":[0.9353459,0.000164392,0.001534035,0.02904806,0.004244447,0.0001647537,0.00002089871,0.00008282586,0.02939464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8027995,"threshold_uncertainty_score":0.9999073,"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."}}