{"id":"W2792903264","doi":"10.3390/diseases6010020","title":"Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms","year":2018,"lang":"en","type":"article","venue":"Diseases","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"BC Children's Hospital; Children's Hospital Foundation","keywords":"Photoplethysmogram; Waveform; SIGNAL (programming language); Pulse (music); Wearable computer; Computer science; Medicine; Wearable technology; Artificial intelligence; Telecommunications; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274516,0.000769444,0.0006542622,0.002666445,0.0002782667,0.002049398,0.0007906315,0.001036871,0.001276231],"category_scores_gemma":[0.006803049,0.000234464,0.0006346188,0.001469012,0.00041428,0.001495744,0.0009548013,0.001043682,0.001735729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187491,"about_ca_system_score_gemma":0.0005651243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002685676,"about_ca_topic_score_gemma":0.0002463801,"domain_scores_codex":[0.9992322,0.0001969004,0.0001019362,0.0001668958,0.0002656697,0.00003648831],"domain_scores_gemma":[0.997255,0.001165183,0.00036046,0.0004170839,0.0007171051,0.00008517008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002652321,0.0001549713,0.004797338,0.0004774469,0.00004629818,0.0005079837,0.0002713006,0.003693039,0.1200648,0.01099627,0.003869321,0.854856],"study_design_scores_gemma":[0.0001591856,0.0009892464,0.04534115,0.0007565331,0.0004292204,0.006564302,0.0008927794,0.4624624,0.3192343,0.05817335,0.1047164,0.0002811698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03141195,0.001561612,0.9606391,0.000727225,0.0001864481,0.0001585066,0.000543841,0.001746305,0.003025014],"genre_scores_gemma":[0.1298873,0.001821096,0.8642239,0.000311891,0.000351219,0.0001852278,0.001402501,0.0002392579,0.001577661],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002666445,"threshold_uncertainty_score":0.006740332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067285599947893,"score_gpt":0.2284017678314844,"score_spread":0.2177289118320055,"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."}}