{"id":"W4247088527","doi":"10.2196/preprints.25996","title":"Zero-Effort Ambient Heart Rate Monitoring Using Ballistocardiography Detected Through a Seat Cushion: Prototype Development and Preliminary Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Ballistocardiography; Wearable computer; Heart rate monitor; Population; SIGNAL (programming language); Computer science; Medicine; Heart rate; Simulation; Real-time computing; Speech recognition; Embedded system; Cardiology; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004822357,0.001109049,0.001053516,0.000329272,0.0002994414,0.0003661847,0.0005209144,0.0004174133,0.00001315748],"category_scores_gemma":[0.00004831792,0.001174693,0.000294499,0.0006241432,0.00007156029,0.0003289106,0.002123116,0.001376477,0.00002865482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841317,"about_ca_system_score_gemma":0.0001623818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778326,"about_ca_topic_score_gemma":0.000006459718,"domain_scores_codex":[0.9957824,0.0001575116,0.001032761,0.001501037,0.0007218812,0.0008043848],"domain_scores_gemma":[0.9982303,0.00009847504,0.0001530278,0.0009547117,0.000193561,0.0003699202],"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":[0.0006956722,0.000476005,0.7422309,0.004799006,0.002947069,0.0005902731,0.009908002,0.111139,0.1231443,0.00001504408,0.0001331434,0.003921612],"study_design_scores_gemma":[0.002586211,0.001259256,0.4455853,0.00267943,0.0005053753,0.00008470026,0.002148461,0.004236919,0.5349812,0.0006420433,0.001364127,0.003927001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314921,0.000335101,0.0328113,0.00001645852,0.001824821,0.03130614,0.000007180107,0.001706165,0.0005006744],"genre_scores_gemma":[0.9279458,0.000025176,0.05688993,0.00001088959,0.0004896346,0.0143763,0.00001032595,0.000241144,0.00001081058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4118369,"threshold_uncertainty_score":0.9990703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249313404928481,"score_gpt":0.27060674360137,"score_spread":0.2281136095520852,"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."}}