{"id":"W2955745546","doi":"10.1145/3328927","title":"WearBreathing","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; University of Toronto; University Health Network; Sunnybrook Health Science Centre; Vector Institute","funders":"","keywords":"Respiratory rate; Accelerometer; Gyroscope; Computer science; Artificial intelligence; Real-time computing; Speech recognition; Heart rate; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001066578,0.0002166785,0.0002644183,0.0001710899,0.000075425,0.00006389325,0.001044136,0.0001418795,0.00001003291],"category_scores_gemma":[0.0004061899,0.0001578488,0.00007613437,0.0002814427,0.0001105301,0.0003796673,0.0008222391,0.000484637,0.00003143448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009363714,"about_ca_system_score_gemma":0.000005975766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128011,"about_ca_topic_score_gemma":4.905434e-7,"domain_scores_codex":[0.9990705,0.000002755986,0.0001983042,0.0002620247,0.0001831496,0.0002833226],"domain_scores_gemma":[0.9992285,0.0001509778,0.00009611384,0.0004035259,0.0001005816,0.0000202471],"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":[0.00003409877,0.00002754281,0.01417097,0.0002038018,0.00006669755,6.455312e-7,0.0003323298,0.0001450779,0.970305,0.00054928,0.0004442204,0.01372038],"study_design_scores_gemma":[0.0001621181,0.000258838,0.0006757468,0.0006336391,0.00001286855,0.00001391639,0.004416703,0.00007088787,0.9847561,0.008045041,0.000769761,0.000184385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860458,0.0006270658,0.000003574635,0.0001318264,0.0004495111,0.0004536813,0.000003547195,0.000779487,0.01150553],"genre_scores_gemma":[0.9988109,0.0003245819,0.0004666549,0.00001120573,0.00003531013,0.0001178377,1.097566e-7,0.00003697328,0.0001964381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445113,"threshold_uncertainty_score":0.6436887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005902699178919371,"score_gpt":0.2108765602531443,"score_spread":0.2049738610742249,"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."}}