{"id":"W7046140874","doi":"","title":"Combining magnetic resonance imaging and electroencephalography in the investigation of interictal epileptic spikes","year":2004,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ictal; Electroencephalography; Magnetic resonance imaging; Functional magnetic resonance imaging; Epilepsy; EEG-fMRI","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":[0.002113975,0.0007090137,0.0005046088,0.003936142,0.0002193534,0.0009587526,0.0005972667,0.00108469,0.003151423],"category_scores_gemma":[0.004007571,0.0002926853,0.0002603147,0.00222176,0.0005265995,0.001090177,0.0004700083,0.000699076,0.002687159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328202,"about_ca_system_score_gemma":0.0007389667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004575206,"about_ca_topic_score_gemma":0.01664828,"domain_scores_codex":[0.9990958,0.0003022196,0.0001044085,0.00007037068,0.0003655746,0.00006165919],"domain_scores_gemma":[0.9983737,0.0007094617,0.000148655,0.0001222836,0.0004964962,0.0001493296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001945846,0.0006403573,0.140586,0.0005810498,0.0002376745,0.01453886,0.0002348838,0.0006107588,0.03679818,0.0005528621,0.007424514,0.795849],"study_design_scores_gemma":[0.0005576665,0.003225082,0.7568806,0.001105108,0.0008841259,0.138798,0.001722703,0.004875718,0.03789768,0.005367002,0.04848426,0.0002020387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6184849,0.1311314,0.04986378,0.008268232,0.0008191447,0.001210037,0.00159655,0.00146955,0.1871565],"genre_scores_gemma":[0.7643788,0.1273869,0.08185766,0.002424454,0.001410681,0.0003560582,0.0008371844,0.0002596433,0.02108861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004575206,"threshold_uncertainty_score":0.01117986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002061640117913359,"score_gpt":0.1505477715531185,"score_spread":0.1484861314352052,"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."}}