{"id":"W4394768499","doi":"10.1161/strokeaha.123.045731","title":"Antithrombotic Treatment for Stroke Prevention in Cervical Artery Dissection: The STOP-CAD Study","year":2024,"lang":"en","type":"article","venue":"Stroke","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Precision Nanosystems (Canada); Western University; Crandall University","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Antithrombotic; Cervical Artery; Stroke (engine); Vertebral artery dissection; Dissection (medical); Fibrinolytic agent; Surgery; Internal medicine; Cardiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002657914,0.0007252186,0.001512438,0.0004631968,0.0002423275,0.0006523628,0.0005733247,0.0007227032,0.001407198],"category_scores_gemma":[0.004046432,0.0002879451,0.001747487,0.0009271751,0.0003752795,0.0003429473,0.000437922,0.0008608678,0.000179065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005068789,"about_ca_system_score_gemma":0.001226933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275681,"about_ca_topic_score_gemma":0.003619674,"domain_scores_codex":[0.9990352,0.0005326188,0.00009118718,0.0001367401,0.0001346325,0.00006962426],"domain_scores_gemma":[0.9979358,0.0007732628,0.0006774881,0.0001880258,0.0001399369,0.0002856147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2886975,0.002622511,0.6058957,0.007187647,0.03434024,0.0003099831,0.0002547885,0.001665651,0.001923103,0.001094528,0.007127229,0.0488811],"study_design_scores_gemma":[0.2160947,0.02427291,0.7005553,0.001336809,0.04540922,0.000499461,0.0001778896,0.002335686,0.0007128232,0.001038367,0.007485866,0.00008099934],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739829,0.01918452,0.0004325942,0.00078899,0.0001179971,0.000521154,0.003191528,0.00001743685,0.001762994],"genre_scores_gemma":[0.9810262,0.009548382,0.001177492,0.0008490878,0.0003701455,0.001007837,0.005464869,0.00001002594,0.0005459647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002657914,"threshold_uncertainty_score":0.01405656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548667562478542,"score_gpt":0.3265818807714907,"score_spread":0.2910952051467053,"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."}}