{"id":"W2522601250","doi":"10.3390/bioengineering3040022","title":"Eventogram: A Visual Representation of Main Events in Biomedical Signals","year":2016,"lang":"en","type":"article","venue":"Bioengineering","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"BC Children's Hospital; Children's Hospital Foundation","keywords":"Visualization; Computer science; Spectrogram; Artificial intelligence; Wavelet; SIGNAL (programming language); Photoplethysmogram; Pattern recognition (psychology); Event (particle physics); Signal processing; Representation (politics); Duration (music); Waveform; Sensitivity (control systems); Data mining; Computer vision; Speech recognition; Digital signal processing; Electronic engineering; Engineering; Acoustics","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":[0.0008980394,0.0009546676,0.0004364617,0.003345184,0.0002626031,0.001571099,0.0007550198,0.001030063,0.01074141],"category_scores_gemma":[0.003427369,0.00021662,0.0005336163,0.001415428,0.0003832987,0.002114773,0.0009782163,0.000814497,0.001638337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147368,"about_ca_system_score_gemma":0.000489261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007253861,"about_ca_topic_score_gemma":0.000560834,"domain_scores_codex":[0.9996107,0.0001232601,0.00003606383,0.00007575811,0.0001206349,0.00003362506],"domain_scores_gemma":[0.9988451,0.0005173007,0.0001653307,0.0001197766,0.0002738776,0.00007868352],"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":[0.001806247,0.0002043976,0.00502678,0.002158704,0.0002093681,0.001579454,0.001485194,0.01445934,0.2353277,0.03812837,0.05812236,0.6414921],"study_design_scores_gemma":[0.0003750583,0.001326839,0.04092869,0.0009297915,0.0003812255,0.008258306,0.002073286,0.332066,0.1751186,0.07521438,0.3627494,0.0005784521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02378734,0.001580451,0.9541429,0.0006998499,0.0004502645,0.0002051888,0.003118198,0.009277573,0.006738335],"genre_scores_gemma":[0.3150597,0.00364508,0.6644395,0.0006633146,0.0006539495,0.0004357342,0.004589092,0.001652085,0.008861482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01074141,"threshold_uncertainty_score":0.03593361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197742161831527,"score_gpt":0.3226499961593369,"score_spread":0.3028757799761841,"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."}}