{"id":"W7005220753","doi":"","title":"PQRST Timing Detection and Heart Rate Feature Monitor","year":2024,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); SIGNAL (programming language); Interval (graph theory); Heart rate; Pulse (music); Pattern recognition (psychology); Signal processing; Electrocardiography","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":[0.0005013434,0.0004859038,0.0004654224,0.0008505316,0.0002110977,0.0005839546,0.0008273527,0.0006687887,0.01037863],"category_scores_gemma":[0.001884476,0.000227641,0.0002222103,0.0004893134,0.0001667582,0.0006298516,0.0004601695,0.0005962086,0.004781917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029003,"about_ca_system_score_gemma":0.0003304875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119113,"about_ca_topic_score_gemma":0.001296154,"domain_scores_codex":[0.9992992,0.00006800811,0.00003140077,0.0001596834,0.0004052435,0.0000363974],"domain_scores_gemma":[0.9992107,0.000140205,0.000110701,0.00007078129,0.0004101505,0.00005753853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001303368,0.0003368898,0.02140689,0.0008110936,0.00009598299,0.0008475216,0.0002959765,0.002867351,0.3342215,0.003366211,0.04184335,0.5926039],"study_design_scores_gemma":[0.0003583652,0.002190939,0.1032089,0.0003610581,0.0003363535,0.00583637,0.000255775,0.1583351,0.5671735,0.005120922,0.1565707,0.0002519085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.106158,0.001383661,0.8101062,0.001201884,0.0008083284,0.001196816,0.006403769,0.03679952,0.03594179],"genre_scores_gemma":[0.6417153,0.001283788,0.308764,0.001123654,0.0004287416,0.001238726,0.003198435,0.001052098,0.0411951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01037863,"threshold_uncertainty_score":0.03471994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910711921531334,"score_gpt":0.2233692332900298,"score_spread":0.2042621140747164,"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."}}