{"id":"W2972310138","doi":"10.1371/journal.pone.0221319","title":"Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Photoplethysmogram; Sawtooth wave; Artifact (error); Computer science; Beat (acoustics); SIGNAL (programming language); Artificial intelligence; Medicine; Computer vision; Acoustics; Physics; Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001733281,0.0003388152,0.0002798004,0.0006792636,0.0001985511,0.0006063305,0.0002963984,0.0004255542,0.0010515],"category_scores_gemma":[0.009516461,0.0001070174,0.0002196327,0.0008213737,0.0003533626,0.0004233806,0.0003690186,0.0002921305,0.0002622911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338796,"about_ca_system_score_gemma":0.0001939452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002505601,"about_ca_topic_score_gemma":0.0003941467,"domain_scores_codex":[0.9987268,0.0003322431,0.0001816009,0.0003220502,0.0003846131,0.00005283482],"domain_scores_gemma":[0.991684,0.004905045,0.001643229,0.0008676838,0.0007392858,0.0001607851],"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":[0.002979056,0.0003646274,0.3491848,0.00163618,0.0004484487,0.006759214,0.001818114,0.003983639,0.4206567,0.0009812746,0.001571974,0.2096159],"study_design_scores_gemma":[0.00007073948,0.002153056,0.7540212,0.0001131447,0.0004170592,0.02224781,0.0004332818,0.03360433,0.1811563,0.001236167,0.004471899,0.00007503382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909345,0.0008552769,0.1060669,0.0001254297,0.0001032852,0.0001616324,0.0005788523,0.000461195,0.000712945],"genre_scores_gemma":[0.978407,0.0001590087,0.02033955,0.00007479902,0.00007995887,0.00006000128,0.0005127336,0.00009173775,0.0002751536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001733281,"threshold_uncertainty_score":0.009166598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843240613486049,"score_gpt":0.1986634634884303,"score_spread":0.1602310573535698,"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."}}