{"id":"W4409907782","doi":"10.1212/cpj.0000000000200477","title":"Malignancy Workup in Cryptogenic Stroke","year":2025,"lang":"en","type":"article","venue":"Neurology Clinical Practice","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Malignancy; Stroke (engine); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381655,0.0001415975,0.0005994877,0.0001676357,0.0000482554,0.00001469766,0.0001593469,0.0002835236,0.0002262321],"category_scores_gemma":[0.006913878,0.0001330075,0.000163244,0.0003109043,0.000118866,0.0001243338,0.0001750035,0.001022288,0.0002301928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001832856,"about_ca_system_score_gemma":0.0001425878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005426547,"about_ca_topic_score_gemma":0.00003906481,"domain_scores_codex":[0.9976667,0.0005178868,0.0007868137,0.0005185609,0.0001659806,0.000344049],"domain_scores_gemma":[0.9959112,0.003212057,0.0001709791,0.0005207348,0.00008407833,0.0001009499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004380411,0.009958056,0.7559857,0.0001606795,0.0007366949,0.00305827,0.00006665185,0.00006655669,0.0001282478,0.02817004,0.104649,0.09263975],"study_design_scores_gemma":[0.002643157,0.0008584929,0.6122838,0.00004105352,0.0004083587,0.00002409917,0.00002521072,0.0001282222,0.00001360924,0.0005406596,0.3829524,0.00008088626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169321,0.001363431,0.0006006743,0.1610114,0.002578405,0.0009695542,0.000002026505,0.0001175036,0.2164249],"genre_scores_gemma":[0.8567938,0.002137499,0.001702407,0.1376539,0.0001984147,0.00005515862,0.00000335049,0.00001637641,0.001439102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2783035,"threshold_uncertainty_score":0.8277057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186366663060816,"score_gpt":0.424332614352454,"score_spread":0.3924689477218458,"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."}}