{"id":"W4296772249","doi":"10.1016/j.jvs.2022.07.042","title":"Machine Learning Classification of Doppler Waveforms","year":2022,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Artificial intelligence; Python (programming language); Artificial neural network; Confusion matrix; Machine learning; Waveform; Confusion; Ultrasound; Computer science; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553379,0.0005539609,0.0006229749,0.002061797,0.0003315959,0.001122088,0.0006791998,0.0009096165,0.001823614],"category_scores_gemma":[0.005543048,0.000149511,0.0006549497,0.0009858048,0.0002410631,0.0006758809,0.0004673064,0.001068936,0.00102944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215271,"about_ca_system_score_gemma":0.0007137634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319673,"about_ca_topic_score_gemma":0.001659594,"domain_scores_codex":[0.9993353,0.0001980541,0.00006812177,0.0001642266,0.0001291276,0.0001050349],"domain_scores_gemma":[0.997268,0.001571667,0.0001583207,0.0001962764,0.0007212519,0.0000845311],"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":[0.0004434997,0.0005307139,0.03377262,0.0001015979,0.0001127431,0.0001743718,0.00009406033,0.0540839,0.00997257,0.001576468,0.006271147,0.8928663],"study_design_scores_gemma":[0.00001467587,0.0001158996,0.006159861,0.00002408811,0.00002456484,0.0001096492,0.00004625293,0.987783,0.003112333,0.001793342,0.0008042816,0.00001211291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5542024,0.002463086,0.4325677,0.00129591,0.00086193,0.0001697297,0.001367032,0.002308102,0.004764026],"genre_scores_gemma":[0.9374077,0.0004772485,0.05718193,0.0001268605,0.0002299497,0.00006749723,0.001626963,0.00004111701,0.002840789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002319673,"threshold_uncertainty_score":0.008215189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967610470112653,"score_gpt":0.2395303768236908,"score_spread":0.2198542721225643,"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."}}