{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004393249,0.000168428,0.0002901524,0.0001829743,0.0004204039,0.00001492052,0.0007700975,0.0002492905,0.00006798055],"category_scores_gemma":[0.00117996,0.0001075859,0.00004896193,0.0002718407,0.0001093581,0.0002486368,0.001083143,0.000790959,0.0001300313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301341,"about_ca_system_score_gemma":0.00009374257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004892933,"about_ca_topic_score_gemma":0.000005493709,"domain_scores_codex":[0.998608,0.00001913513,0.0004245267,0.0003233355,0.0002272518,0.0003977348],"domain_scores_gemma":[0.9984102,0.000347051,0.0004498038,0.0004273455,0.0003362655,0.00002938298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002962921,0.0004139832,0.443028,0.003251879,0.0001988732,0.000001593226,0.01438335,0.00001480397,0.2869294,0.06075641,0.06987195,0.1181868],"study_design_scores_gemma":[0.002024715,0.002816238,0.04711816,0.003707428,0.00004239721,0.00001194293,0.07878961,0.00008755415,0.6266499,0.1310198,0.1070561,0.0006762986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490814,0.0002270316,8.250364e-7,0.00267981,0.0005635549,0.001532274,0.000006275864,0.0002576592,0.04565117],"genre_scores_gemma":[0.9953613,0.0002716034,0.0005374074,0.000690464,0.00004045434,0.0004836415,6.391464e-7,0.00001710786,0.002597433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959098,"threshold_uncertainty_score":0.4387226,"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."}}