{"id":"W2738105823","doi":"10.1161/str.47.suppl_1.wmp107","title":"Abstract WMP107: Arterial Tortuosity: an Imaging Biomarker of Perinatal Stroke Pathogenesis?","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Tortuosity; Stroke (engine); Population; Cardiology; Cohort; Internal medicine; Imaging biomarker; Biomarker; Pathology; Radiology; Magnetic resonance imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588381,0.0005372907,0.0003462008,0.001264413,0.0001857762,0.0007489763,0.0005383267,0.000495578,0.003763617],"category_scores_gemma":[0.003019406,0.0001160472,0.0001493765,0.001133908,0.0004981029,0.000358772,0.0002944132,0.000443322,0.0003700328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349294,"about_ca_system_score_gemma":0.0003599457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379152,"about_ca_topic_score_gemma":0.002076384,"domain_scores_codex":[0.9997563,0.00004725451,0.00003285026,0.00004570229,0.00008479821,0.00003298047],"domain_scores_gemma":[0.9982256,0.0003998282,0.0008842978,0.0000673479,0.000237318,0.0001855924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004317182,0.00003839541,0.9760523,0.00009922238,0.00007858986,0.0007543392,0.0001094688,0.0001396283,0.005477413,0.0001072763,0.0004939775,0.01621777],"study_design_scores_gemma":[0.000005905255,0.0001250724,0.9956998,0.000037675,0.00004607426,0.001720698,0.0000954811,0.0002854726,0.001538142,0.0001275649,0.0003138953,0.000004192611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994837,0.001930602,0.0007843792,0.0002493527,0.00002402574,0.00002053105,0.0005950779,0.00003115906,0.001527672],"genre_scores_gemma":[0.9970511,0.0007011909,0.001041309,0.00005425381,0.00005092511,0.00002323331,0.0006231557,0.000008012305,0.0004467877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003763617,"threshold_uncertainty_score":0.01259053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280276036332738,"score_gpt":0.2751130026761731,"score_spread":0.2523102423128457,"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."}}