{"id":"W2534601853","doi":"10.1017/cjn.2016.378","title":"PS2 - 196 Investigating the Spatial Agreement Between Pre-Operative Functional MRI and Intra-Operative Direct Cortical Stimulation","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Functional magnetic resonance imaging; Audiology; Magnetic resonance imaging; Medicine; Neuroimaging; Task (project management); Craniotomy; Psychology; Neuroscience; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002585775,0.0002467768,0.0003501104,0.0003411635,0.002049163,0.0002771881,0.0007856878,0.0001810997,0.000160119],"category_scores_gemma":[0.002429093,0.0001199849,0.00008700888,0.0005441293,0.008385818,0.0006369177,0.00005613532,0.001042323,0.00000256662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741086,"about_ca_system_score_gemma":0.0009433433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000434378,"about_ca_topic_score_gemma":0.02024271,"domain_scores_codex":[0.997004,0.0006416751,0.0006421632,0.0003337748,0.0005533572,0.0008250114],"domain_scores_gemma":[0.9971107,0.001231222,0.000229242,0.00009017662,0.0002005221,0.001138177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003210168,0.00001158668,0.94017,0.000005493221,0.00004713962,0.000606429,0.0007637133,0.008879288,0.0002475219,0.002652015,0.0009417525,0.04564292],"study_design_scores_gemma":[0.0006363238,0.02917869,0.9174023,0.0001053775,0.00007990588,0.004736213,0.0003548988,0.01715866,0.0008197021,0.02260191,0.006429144,0.0004968863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887791,0.0007380568,0.001772462,0.006863837,0.0005548525,0.0001452155,0.00001137591,0.00002986756,0.001105283],"genre_scores_gemma":[0.9973135,0.0004146677,0.0007957928,0.001098059,0.000354413,0.000003959371,2.218644e-7,0.000007335329,0.00001204173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04514603,"threshold_uncertainty_score":0.9992501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731450427290799,"score_gpt":0.2589285894884091,"score_spread":0.2316140852155011,"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."}}