{"id":"W2321856824","doi":"10.1093/neuonc/nou264.50","title":"NI-52 * TOWARDS IMPROVED INTEGRATION OF ADVANCED IMAGING TECHNIQUES INTO THE NEUROSURGICAL OPERATING SUITE: A CANADIAN EXPERIENCE","year":2014,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre; Western University","funders":"","keywords":"Workflow; Neuronavigation; Health care; Computer science; Medical imaging; Medicine; Medical physics; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002571855,0.0001529279,0.0002642736,0.0001258653,0.0001074558,0.00001374762,0.0003529146,0.0001817527,0.00003121985],"category_scores_gemma":[0.0008844179,0.0001163767,0.000045941,0.0002351437,0.0002860594,0.000104314,0.00006772012,0.0005444093,0.000003372189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477673,"about_ca_system_score_gemma":0.0001341213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00451561,"about_ca_topic_score_gemma":0.007841939,"domain_scores_codex":[0.998893,0.0001079536,0.0003255002,0.0002288009,0.00009971984,0.0003450766],"domain_scores_gemma":[0.9992792,0.0001908825,0.00005385733,0.0002748768,0.00006362381,0.0001375388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004844515,0.000007919027,0.00008861602,0.000007644033,0.000002418178,0.00001496909,0.001163886,0.00001670039,0.4018384,0.001927562,0.0001602791,0.5947667],"study_design_scores_gemma":[0.0004176839,0.0004244379,0.0003122753,0.00002639958,0.00001317908,0.0001145389,0.001321254,0.06990889,0.3041128,0.0006692179,0.622443,0.000236358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476374,0.0004176083,0.01871401,0.007798006,0.001583782,0.0007288122,0.000004294337,0.0009641895,0.02215187],"genre_scores_gemma":[0.9942456,0.0001497458,0.003848721,0.001504346,0.00008814906,0.00012881,0.0000032467,0.00002383949,0.000007556004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6222827,"threshold_uncertainty_score":0.6826282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797778676993523,"score_gpt":0.2656670459714109,"score_spread":0.2588692672944173,"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."}}