{"id":"W2007666109","doi":"10.1016/s0828-282x(06)70300-2","title":"Treating the right patient at the right time: Access to cardiovascular nuclear imaging","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of British Columbia; Dalhousie University; Hamilton Health Sciences; University of Toronto; St. Michael's Hospital; University of Alberta; Health Sciences Centre","funders":"Canadian Cardiovascular Society; London Health Sciences Centre; University of Ottawa; Université Laval","keywords":"Medicine; Myocardial perfusion imaging; Nuclear medicine; Positron emission tomography; Perfusion; Thallium; Emission computed tomography; Cardiac catheterization; Radionuclide angiography; Single-photon emission computed tomography; Radiology; Gamma camera; Spect imaging; Angioplasty; Cardiology; Ejection fraction; Heart failure","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":[0.001183894,0.0005812612,0.00121971,0.000930317,0.002004369,0.003400532,0.0009488409,0.006342337,0.05122475],"category_scores_gemma":[0.008744028,0.000635683,0.0008395232,0.000346443,0.00126617,0.005389608,0.002155352,0.00787176,0.01023013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136367,"about_ca_system_score_gemma":0.004135715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004077721,"about_ca_topic_score_gemma":0.006550461,"domain_scores_codex":[0.9989555,0.0002231875,0.0001118357,0.0001710463,0.0002625854,0.0002758856],"domain_scores_gemma":[0.9957723,0.0009835063,0.0002751403,0.0002028862,0.0006172112,0.002148855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009339363,0.0009182171,0.02065417,0.0008580651,0.0001061235,0.07690632,0.0007879719,0.002093819,0.01336132,0.01827102,0.4565426,0.4085664],"study_design_scores_gemma":[0.0007802228,0.0008024568,0.02521603,0.004241112,0.0002687678,0.3669989,0.003166408,0.005815762,0.0062997,0.1459641,0.4397049,0.0007417281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.028569,0.02914908,0.09881625,0.65547,0.01632583,0.0002735368,0.0004650553,0.002106138,0.1688251],"genre_scores_gemma":[0.5045513,0.0628521,0.1477522,0.1281431,0.07959604,0.0003032777,0.0006210221,0.001284739,0.07489638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05122475,"threshold_uncertainty_score":0.1713639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005456036286787111,"score_gpt":0.2171691635083915,"score_spread":0.2117131272216044,"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."}}