{"id":"W2524054904","doi":"10.1016/j.cjca.2016.07.522","title":"Waiting for TAVI: Implementation of a Nurse-led Telephone Assessment and Urgency Triage","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Triage; Nurse practitioners; Medical emergency; Emergency medicine; Intensive care medicine; Health care","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00776494,0.0004179637,0.0005166814,0.0008739846,0.003078137,0.001744049,0.001763461,0.0021252,0.006190402],"category_scores_gemma":[0.0236082,0.0005143767,0.0009160042,0.0004279732,0.0004172653,0.001906518,0.003127418,0.003203684,0.0008750782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003173815,"about_ca_system_score_gemma":0.02328017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02347438,"about_ca_topic_score_gemma":0.04295984,"domain_scores_codex":[0.9944133,0.002449763,0.0006895674,0.0006305224,0.0007599817,0.001056884],"domain_scores_gemma":[0.9834299,0.004271508,0.001565191,0.0007346135,0.002422914,0.007575868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002541416,0.02554741,0.1665493,0.0008974171,0.0002174155,0.003640208,0.01604354,0.002999546,0.003551629,0.0007882907,0.04100519,0.7362187],"study_design_scores_gemma":[0.003129269,0.02023838,0.8533407,0.003445799,0.0005469145,0.002957386,0.0331413,0.02114572,0.00208766,0.002728624,0.0565744,0.000663951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941083,0.0009612697,0.01346254,0.04755704,0.002499396,0.0132364,0.0004418917,0.001251988,0.02648106],"genre_scores_gemma":[0.9371948,0.0009166828,0.03870588,0.01255245,0.0007515962,0.005744348,0.0003880879,0.00009807152,0.003648032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347438,"threshold_uncertainty_score":0.04667544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736087566439628,"score_gpt":0.3792231431930554,"score_spread":0.3618622675286591,"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."}}