{"id":"W2849437110","doi":"10.1145/3210240.3210817","title":"Speech in Smartwatch based Audio","year":2018,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; University Health Network; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; Vector Institute","funders":"","keywords":"Smartwatch; Computer science; Speech recognition; Wearable computer; Embedded system","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":[0.0004563398,0.0006044478,0.00048584,0.0004960804,0.0002745913,0.001143431,0.000611208,0.0009615215,0.07966433],"category_scores_gemma":[0.001424238,0.0002270925,0.0003269924,0.0004483959,0.000364238,0.0008701879,0.0007110917,0.0003757818,0.02517868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522861,"about_ca_system_score_gemma":0.0001680158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006545775,"about_ca_topic_score_gemma":0.001058517,"domain_scores_codex":[0.9996743,0.00008913546,0.00002154364,0.00006866748,0.0001148252,0.00003149733],"domain_scores_gemma":[0.9992213,0.0004266571,0.0000284157,0.00009301852,0.000179085,0.00005153084],"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":[0.003079777,0.0001707682,0.001418252,0.001689499,0.00007970395,0.001379674,0.0003135637,0.001302126,0.5254073,0.002016716,0.01288339,0.4502593],"study_design_scores_gemma":[0.0003377775,0.004579823,0.04019098,0.001587651,0.0006113619,0.006189662,0.001471867,0.03573799,0.6958329,0.006751376,0.2065677,0.0001409573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4608512,0.01895677,0.318581,0.00153048,0.005555806,0.001045926,0.006840164,0.01437666,0.1722621],"genre_scores_gemma":[0.754805,0.008223001,0.05545837,0.00095203,0.001055444,0.0003653055,0.005899813,0.001151809,0.1720892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07966433,"threshold_uncertainty_score":0.2665037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265221987773777,"score_gpt":0.2488115391528449,"score_spread":0.2361593192751072,"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."}}