{"id":"W7005092541","doi":"","title":"Performance of the “CCS Algorithm”\\n\\t\\t\\t\\t in real world patients","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Triage; Anticoagulant therapy; Cohort; Stroke (engine); Expert opinion; Risk assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002589555,0.0003581474,0.0004303119,0.00008563465,0.0009116722,0.0001163378,0.001266478,0.0002911476,0.00005082385],"category_scores_gemma":[0.0004489921,0.0003000085,0.0002093266,0.0002259655,0.00007494558,0.0003032186,0.0005882223,0.0005940099,0.000002576875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252454,"about_ca_system_score_gemma":0.0002443081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004845652,"about_ca_topic_score_gemma":0.0001749628,"domain_scores_codex":[0.9976175,0.0000499942,0.0006528226,0.0005265648,0.0006277532,0.0005253508],"domain_scores_gemma":[0.9975743,0.0001114017,0.0006542852,0.001201547,0.000289481,0.0001690135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006821164,0.002249545,0.8735228,0.001433654,0.0003804164,0.0001000126,0.002259154,0.00006515667,0.05319566,0.04650041,0.001213881,0.01839721],"study_design_scores_gemma":[0.003111822,0.00003248508,0.3880278,0.0007869114,0.00008707446,0.0001001041,0.0002567986,0.0009994954,0.1513068,0.0001255586,0.4543802,0.0007849023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7072728,0.00003547913,0.000004004989,0.001265695,0.0002482414,0.00009725486,0.00005600352,0.00005270052,0.2909678],"genre_scores_gemma":[0.9969143,0.0001100887,0.0003860827,0.0000248479,0.0003108549,0.00008007781,0.00005214175,0.00002758391,0.002094084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.485495,"threshold_uncertainty_score":0.9999452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013080727966302,"score_gpt":0.2448160147356968,"score_spread":0.2246852074560338,"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."}}