{"id":"W45416804","doi":"10.21437/interspeech.2008-64","title":"Methods to optimize transcription of on-line media","year":2008,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Computer science; Transcription (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002198814,0.003588982,0.002570264,0.002069491,0.00116828,0.002302848,0.002412204,0.001064946,0.01584339],"category_scores_gemma":[0.003870009,0.00158096,0.002513147,0.001766392,0.0009480119,0.0008143643,0.002200748,0.004657753,0.01729071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009516907,"about_ca_system_score_gemma":0.001762076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048455,"about_ca_topic_score_gemma":0.005174386,"domain_scores_codex":[0.9963518,0.0007070681,0.0005188614,0.0008359537,0.001077985,0.0005082828],"domain_scores_gemma":[0.9972445,0.0008124455,0.0002165188,0.0008789884,0.0006612843,0.000186324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002372417,0.0002487104,0.0004046181,0.0002634696,0.00003588694,0.00009878801,0.0001386934,0.0005790422,0.9715884,0.0006119097,0.003782151,0.02201101],"study_design_scores_gemma":[0.00004833192,0.0002277162,0.0007610981,0.00004919043,0.0001012385,0.0001211935,0.00006044182,0.002082475,0.9540791,0.0004032263,0.04202016,0.00004579428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07713572,0.002534901,0.8487577,0.0008841487,0.002639753,0.007733947,0.01723178,0.0230501,0.02003182],"genre_scores_gemma":[0.105278,0.003521717,0.7532368,0.001263798,0.0008063966,0.01427181,0.05704467,0.01402174,0.05055519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01584339,"threshold_uncertainty_score":0.0530014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07085539733379129,"score_gpt":0.3573087059543631,"score_spread":0.2864533086205718,"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."}}