{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007934302,0.0003109317,0.0006875182,0.0002038472,0.00004064586,0.00001391117,0.00008950006,0.0003468996,0.0001396833],"category_scores_gemma":[0.00003524799,0.0002641949,0.0002318966,0.0001603542,0.00001960122,0.00002225133,0.0000244801,0.0005883194,0.0003717348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751533,"about_ca_system_score_gemma":0.00003899826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001835235,"about_ca_topic_score_gemma":0.000003018899,"domain_scores_codex":[0.9984326,0.00005734224,0.000275638,0.0005050951,0.0003967303,0.0003326086],"domain_scores_gemma":[0.9992186,0.00004406045,0.0001812767,0.0004014383,0.00003327112,0.0001213317],"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":[0.0009092141,0.001089761,0.0567528,0.001146951,0.0008179848,0.0007115243,0.01892239,0.002543249,0.897754,0.000007115859,0.0003879307,0.01895707],"study_design_scores_gemma":[0.002733742,0.0008207104,0.8184445,0.002372535,0.0009470169,0.00001408457,0.03603014,0.001932508,0.1347512,0.00005185722,0.0007077011,0.001194007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978295,0.0004375335,0.00001084249,0.0001219202,0.0006528415,0.0002811955,0.000001630482,0.00004951473,0.0006150478],"genre_scores_gemma":[0.9561951,0.0005515199,0.0003521146,0.00001072697,0.0004984562,0.00005143463,0.0002252997,0.0000432805,0.04207204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7630028,"threshold_uncertainty_score":0.999981,"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."}}