{"id":"W4324044738","doi":"10.1016/j.cjca.2023.03.008","title":"Development of an Online Cardiovascular Pre-participation Screening Tool: The Community and Athletic Cardiovascular Health Network Screening Portal","year":2023,"lang":"en","type":"editorial","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Scopus; Sudden cardiac death; Athletes; Sudden cardiac arrest; Cardiovascular health; Family medicine; Sudden death; Physical therapy; MEDLINE; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01343429,0.002677646,0.00322538,0.003899683,0.002363831,0.009116328,0.003297846,0.01235342,0.01635218],"category_scores_gemma":[0.04300465,0.001457084,0.003091677,0.001220141,0.0014631,0.003615481,0.001264393,0.01586512,0.01112021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002815254,"about_ca_system_score_gemma":0.005428341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004717487,"about_ca_topic_score_gemma":0.01160342,"domain_scores_codex":[0.9922814,0.001370957,0.001076463,0.0005776868,0.004316534,0.0003770089],"domain_scores_gemma":[0.9376997,0.02464646,0.001947904,0.0008267884,0.02844419,0.006434999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007408808,0.00003805575,0.00006764189,0.0003132517,0.00004427488,0.00009485296,0.00001774685,0.00002301645,0.00007481257,0.0001876576,0.9889691,0.01009538],"study_design_scores_gemma":[0.0003971961,0.0001483731,0.0009818901,0.001101538,0.0003730269,0.0002225233,0.0001180913,0.000391594,0.0002532514,0.0004519174,0.9955125,0.0000480415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001134718,0.002561566,0.0004142738,0.02537464,0.9692149,0.0001088304,0.0001613945,0.0001494984,0.001901589],"genre_scores_gemma":[0.0007803947,0.005168124,0.0006201574,0.0252049,0.9552633,0.000139143,0.0001672958,0.0001378008,0.01251897],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01635218,"threshold_uncertainty_score":0.07104814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04677960772451731,"score_gpt":0.2957990910261543,"score_spread":0.249019483301637,"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."}}