{"id":"W2973391925","doi":"10.1161/circimaging.118.008737","title":"Point of Care Clinical Risk Score to Improve the Negative Diagnostic Utility of an Agatston Score of Zero","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; Montreal Heart Institute","funders":"Houston Methodist Research Institute; University of Ottawa; Houston Methodist Hospital; Università degli Studi di Milano; Ottawa Hospital Research Institute; King Saud University","keywords":"Medicine; Agatston score; Internal medicine; Zero (linguistics); Framingham Risk Score; Cardiology; Radiology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951756,0.0002189739,0.001099175,0.0001547604,0.00005884063,0.00001471674,0.0001671405,0.00008349966,0.00001815291],"category_scores_gemma":[0.006630484,0.0001809823,0.001635977,0.0004062678,0.0002936115,0.000151487,0.0001123332,0.0003217461,0.00001014487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006427355,"about_ca_system_score_gemma":0.000218634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006298345,"about_ca_topic_score_gemma":0.000004422172,"domain_scores_codex":[0.9971071,0.0004806725,0.0008719721,0.0005174906,0.0007767015,0.0002460494],"domain_scores_gemma":[0.9951474,0.001434728,0.0003856062,0.001702433,0.001166576,0.0001632475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000903421,0.00008870327,0.9317095,0.0004383457,0.0006850842,0.0000101877,0.001470026,0.005209669,0.0005433608,0.00003109039,0.00005825088,0.05966546],"study_design_scores_gemma":[0.001976251,0.0001372592,0.9825065,0.0005158542,0.001725748,0.0000258359,0.001440226,0.0030213,0.00817124,0.0001830983,0.0001280615,0.0001686702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819789,0.004277493,0.01034198,0.00007943737,0.0006193835,0.001552552,0.000110814,0.00003628604,0.001003156],"genre_scores_gemma":[0.9988352,0.00006454516,0.0007261994,0.000094635,0.0001603189,0.00001931154,0.00005719222,0.00003880106,0.000003797564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05949679,"threshold_uncertainty_score":0.7937788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806886851773165,"score_gpt":0.2920515270840358,"score_spread":0.2739826585663041,"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."}}