{"id":"W3162800289","doi":"","title":"Passive Physiological Monitoring via Ambient Sensors Embedded in a Home Environment","year":2019,"lang":"en","type":"dissertation","venue":"TSpace","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embedded system; Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002511054,0.0003798098,0.0003817999,0.0002565234,0.0001218367,0.0004768501,0.0004799441,0.0003825985,0.00133246],"category_scores_gemma":[0.0007144123,0.0001576362,0.000232327,0.0002228428,0.0001722319,0.000427054,0.0004331186,0.0002148843,0.00052391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000852,"about_ca_system_score_gemma":0.0001008339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535078,"about_ca_topic_score_gemma":0.000409209,"domain_scores_codex":[0.9996042,0.00008041011,0.00001747752,0.0001071561,0.0001699229,0.00002088033],"domain_scores_gemma":[0.9997222,0.00009431451,0.00004220408,0.00004460718,0.00008063963,0.00001603635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009177276,0.0003746332,0.017324,0.0006995323,0.0001518501,0.0006160357,0.0005217846,0.004263329,0.608895,0.0008523734,0.002905634,0.362478],"study_design_scores_gemma":[0.0003121155,0.008227961,0.1465288,0.0003883087,0.0008600125,0.005431773,0.0008363772,0.1854078,0.587359,0.00282299,0.06158959,0.0002352273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.63772,0.002225047,0.3460021,0.00022538,0.0004836529,0.0002981373,0.0006389554,0.003928834,0.00847775],"genre_scores_gemma":[0.9275747,0.0007795969,0.0655143,0.0002580065,0.0001195309,0.00012786,0.0002580191,0.00006758792,0.005300401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133246,"threshold_uncertainty_score":0.004457533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989629602886693,"score_gpt":0.3236332672875847,"score_spread":0.3037369712587177,"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."}}