{"id":"W2565483775","doi":"10.1093/neuonc/nov225.46","title":"NIMG-46THE USE OF CLINICAL FUNCTIONAL MAGNETIC RESONANCE IMAGING IN BRAIN TUMOUR PATIENTS FOR SURGICAL PLANNING: A SINGLE-SURGEON RETROSPECTIVE COHORT STUDY AT A CANADIAN CENTER","year":2015,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Magnetic resonance imaging; Retrospective cohort study; Functional magnetic resonance imaging; Cohort; Radiology; Single Center; Craniotomy; Surgery; Internal medicine","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":[0.0009814715,0.0005321281,0.000549202,0.002512082,0.002595552,0.001522129,0.0009854875,0.0004819232,0.003111334],"category_scores_gemma":[0.002914605,0.0007547505,0.0006864694,0.003714373,0.0008779679,0.0006326603,0.001174308,0.0007240878,0.0006416138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008362704,"about_ca_system_score_gemma":0.0133458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6143959,"about_ca_topic_score_gemma":0.7331218,"domain_scores_codex":[0.9983296,0.0001230116,0.0001188026,0.0003384629,0.0006355309,0.0004546221],"domain_scores_gemma":[0.9962338,0.000238902,0.001589978,0.0002298971,0.0009500512,0.0007574519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003515775,0.00002483291,0.9978865,0.00001322723,0.00002275122,0.000269354,0.0003068528,0.00001519703,0.0001701956,0.00001672793,0.0002224216,0.001016711],"study_design_scores_gemma":[0.000006341237,0.00008680459,0.9966435,0.00002868018,0.00002809744,0.001010643,0.001448628,0.00008835582,0.00008473087,0.00001469708,0.0005437838,0.00001564501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970132,0.0003236542,0.00008834933,0.00008532402,0.000008954737,0.00007753069,0.00113365,0.000007380479,0.001261952],"genre_scores_gemma":[0.9981356,0.0003673418,0.0001528258,0.0001132214,0.00001148479,0.00003730759,0.0008705153,0.00001086113,0.0003007478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6143959,"threshold_uncertainty_score":0.7757499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07991805477323974,"score_gpt":0.34432109621601,"score_spread":0.2644030414427703,"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."}}