{"id":"W4280610527","doi":"10.1093/eurheartj/suac011.065a","title":"C67A BLITZ-AF CANCER REGISTRY: BASELINE CHARACTERISTICS OF PATIENTS WITH ATRIAL FIBRILLATION AND CANCER","year":2022,"lang":"en","type":"article","venue":"European Heart Journal Supplements","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Medicine; Atrial fibrillation; Internal medicine; Lung cancer; Cancer; Concomitant; Prostate cancer; Colorectal cancer; Breast cancer; Epidemiology; Cardiology; Cancer registry; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006148537,0.000138982,0.0002976954,0.0001361837,0.0002804164,0.00003906965,0.00006412539,0.00001210248,0.003536316],"category_scores_gemma":[0.0000800113,0.0001136465,0.0001074653,0.0001886766,0.00003161254,0.0001200617,0.0001366522,0.0001807872,0.000004134854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041914,"about_ca_system_score_gemma":0.000080588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005035596,"about_ca_topic_score_gemma":0.000004219276,"domain_scores_codex":[0.9982365,0.0002603564,0.0005148975,0.000179875,0.0006069934,0.000201318],"domain_scores_gemma":[0.9990646,0.0000469035,0.0004242793,0.0001471621,0.000181119,0.0001358975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108725,0.000008052923,0.9811662,0.00003830464,0.0001593809,0.00001341714,0.000115204,0.0001343287,0.00007436038,0.000007440527,0.008556417,0.008618148],"study_design_scores_gemma":[0.002857048,0.0002686961,0.5947376,0.00003448646,0.0001457376,0.000008370698,0.00003415257,0.00006344084,0.00001006967,0.000002163546,0.4017612,0.00007705478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950267,0.0003881168,0.00006253935,0.002892258,0.0005649283,0.0004428312,0.0004614425,0.0000161701,0.0001450001],"genre_scores_gemma":[0.9949958,0.0004650619,0.0004375083,0.0002739218,0.002176499,7.149945e-7,0.0003186258,0.00003884261,0.001293076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3932047,"threshold_uncertainty_score":0.9973746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764055094939227,"score_gpt":0.3307088905054297,"score_spread":0.2830683395560374,"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."}}