{"id":"W2809881731","doi":"10.1017/cjn.2018.208","title":"P.106 Functional approach using intraoperative brain mapping and neurophysiological monitoring for surgery of arteriovenous malformations in eloquent areas","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Surgery; Intraoperative neurophysiological monitoring; Arteriovenous malformation; Motor function; Resection; Neurological deficit; Physical medicine and rehabilitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002603611,0.0003197177,0.0001078787,0.0008451632,0.0001907206,0.0003662638,0.0002243639,0.000223388,0.003506452],"category_scores_gemma":[0.001160937,0.00008056614,0.0001515941,0.0004914855,0.0003704895,0.0002698689,0.0002551752,0.0003305786,0.001120976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356411,"about_ca_system_score_gemma":0.0004518623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005671213,"about_ca_topic_score_gemma":0.0006777511,"domain_scores_codex":[0.9998676,0.00002532332,0.00001951271,0.00002089613,0.00004343924,0.00002332255],"domain_scores_gemma":[0.9995453,0.0001405701,0.0001551072,0.00003098147,0.00006349739,0.00006446683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0003422661,0.0001161326,0.8399754,0.0001806218,0.00004980054,0.01244994,0.00013158,0.0005071425,0.005302181,0.0002551898,0.00250418,0.1381855],"study_design_scores_gemma":[0.00004268478,0.0009685482,0.7398517,0.0001179168,0.00007549555,0.2445618,0.0002896599,0.002092279,0.004217357,0.001044811,0.006711907,0.00002597401],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701511,0.005927575,0.01142798,0.0005093305,0.000111334,0.0001192042,0.0004576848,0.000118459,0.01117732],"genre_scores_gemma":[0.9941572,0.001269762,0.003354574,0.0000950746,0.000141726,0.0000367057,0.0002778345,0.00001041533,0.0006566808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003506452,"threshold_uncertainty_score":0.01173025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0903873650929294,"score_gpt":0.2881511101326159,"score_spread":0.1977637450396865,"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."}}