{"id":"W2972985902","doi":"10.7202/1062927ar","title":"A Hell of a Voice","year":2019,"lang":"en","type":"article","venue":"Studies in Canadian Literature","topic":"Asian American and Pacific Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Communication; Computer science; Speech recognition; Psychology; Linguistics; Philosophy","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":[0.005285181,0.0006149914,0.0005502609,0.002807481,0.05046326,0.01969784,0.001556164,0.005575162,0.02469919],"category_scores_gemma":[0.01337771,0.0003505978,0.0004631613,0.003924374,0.03824908,0.01113118,0.006446752,0.01120345,0.002629741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04418256,"about_ca_system_score_gemma":0.07294767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8532141,"about_ca_topic_score_gemma":0.9077554,"domain_scores_codex":[0.9941455,0.001396491,0.00009569807,0.0005247954,0.001775716,0.002061658],"domain_scores_gemma":[0.9915339,0.001602596,0.000294604,0.0005980589,0.002828438,0.003142402],"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":[0.00004236226,0.00001789792,0.001510461,0.00007199241,0.00001378098,0.0002641996,0.07868822,0.00002728246,0.0002416528,0.4309814,0.4725888,0.01555195],"study_design_scores_gemma":[0.000007616495,0.000007000803,0.001423018,0.0001980807,0.000008647847,0.00008611328,0.1051,0.00001845747,0.00009198744,0.01472095,0.8783091,0.00002911676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02085247,0.01178978,0.0005767135,0.5689967,0.01293168,0.00003529566,0.0003076585,0.0001021878,0.3844074],"genre_scores_gemma":[0.442964,0.006286493,0.0006962433,0.1636051,0.003301524,0.0000502439,0.0001402259,0.0002673237,0.3826888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1467859,"threshold_uncertainty_score":0.3205684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291056120874014,"score_gpt":0.3096238131966161,"score_spread":0.296713251987876,"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."}}