{"id":"W2973078060","doi":"10.1145/3351254","title":"Beyond Respiration","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Infant Health and Development","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"Computer science; Sleep (system call); Microphone; Layer (electronics); Real-time computing; Human–computer interaction; Speech recognition; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001402666,0.0011894,0.0008371989,0.001219871,0.001160505,0.00588473,0.001731153,0.003386482,0.02263654],"category_scores_gemma":[0.004861199,0.000459302,0.00103736,0.001106293,0.002296974,0.007921137,0.003738186,0.00252904,0.01575301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015751,"about_ca_system_score_gemma":0.001261377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543805,"about_ca_topic_score_gemma":0.001869512,"domain_scores_codex":[0.9978588,0.0004331793,0.0001285496,0.0006579027,0.0007279518,0.0001934667],"domain_scores_gemma":[0.9972313,0.000810725,0.0002537517,0.0007414302,0.0007504952,0.0002122824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000358628,0.0000885009,0.005870029,0.002330901,0.0001490908,0.0009852921,0.001596017,0.004753295,0.02572162,0.2087723,0.09765271,0.6517215],"study_design_scores_gemma":[0.00002688713,0.0001761397,0.003729038,0.0007325786,0.00008153475,0.002290664,0.0005515126,0.006601406,0.006740919,0.08051227,0.8984216,0.0001353553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02209179,0.1230898,0.3528995,0.03846117,0.01536664,0.0003345236,0.00345466,0.006679544,0.4376223],"genre_scores_gemma":[0.5309765,0.07844741,0.1220332,0.02244774,0.01163702,0.0004109234,0.004602348,0.002022585,0.2274222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02263654,"threshold_uncertainty_score":0.07572675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194355045039349,"score_gpt":0.3421195291549596,"score_spread":0.3226840246510247,"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."}}