{"id":"W2806937553","doi":"10.29173/pandpr29354","title":"When My Voice is not My Voice: Speaking through a Speech Generating Device","year":2018,"lang":"en","type":"article","venue":"Phenomenology & Practice","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Human voice; Relation (database); Voice activity detection; Speech act; Psychology; Computer science; Speech recognition; Linguistics; Speech processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003076819,0.000411716,0.0003401015,0.0006366698,0.008781785,0.005969515,0.0009541679,0.002405877,0.002112953],"category_scores_gemma":[0.007972318,0.0003379189,0.0004642106,0.0005008323,0.01285111,0.006036746,0.005577653,0.003050402,0.0005861223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425132,"about_ca_system_score_gemma":0.001387864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858806,"about_ca_topic_score_gemma":0.004833532,"domain_scores_codex":[0.9951749,0.003473446,0.0001337366,0.0002339121,0.0005904906,0.0003936372],"domain_scores_gemma":[0.997305,0.001860249,0.000266504,0.0001343811,0.0002208555,0.0002128474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002419515,0.00002517011,0.001413652,0.0001259864,0.000007053773,0.001149148,0.9715229,0.00002867705,0.001365724,0.01293316,0.003216636,0.008187723],"study_design_scores_gemma":[0.000008689716,0.00006555356,0.002159726,0.0004071569,0.00002014152,0.00322436,0.895046,0.0001273938,0.001291412,0.003008079,0.09459257,0.00004893757],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096058,0.007452764,0.01820039,0.02951364,0.001555699,0.0001732832,0.0001382064,0.000163538,0.1331965],"genre_scores_gemma":[0.9796056,0.002429618,0.003070266,0.003378646,0.0001191131,0.00007548421,0.0000462972,0.00007349798,0.01120158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008781785,"threshold_uncertainty_score":0.01627201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540103640584306,"score_gpt":0.4731141971988455,"score_spread":0.3191038331404149,"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."}}