{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007520692,0.0007002765,0.0003077941,0.001063084,0.008723953,0.003271434,0.001999204,0.0009712615,0.01332312],"category_scores_gemma":[0.007880826,0.0006423334,0.0005733658,0.002062958,0.003931058,0.001409002,0.003810122,0.002455586,0.001855253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04433585,"about_ca_system_score_gemma":0.1393016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523352,"about_ca_topic_score_gemma":0.9721003,"domain_scores_codex":[0.9959005,0.0007767067,0.0001851135,0.0003720591,0.001885928,0.0008798295],"domain_scores_gemma":[0.9873582,0.0006843715,0.0002797718,0.0003649988,0.004955333,0.006357299],"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":[0.001034423,0.00303215,0.1184075,0.001753223,0.000121714,0.009158528,0.1372517,0.003365254,0.0182626,0.01567608,0.1470708,0.5448661],"study_design_scores_gemma":[0.0001840632,0.001866282,0.1636094,0.000672237,0.00010893,0.006500602,0.07847634,0.003996469,0.005932533,0.001416727,0.7368636,0.0003728539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7291814,0.005555877,0.02000274,0.04284301,0.001122303,0.00142539,0.001613397,0.0009284475,0.1973274],"genre_scores_gemma":[0.8178434,0.008880238,0.06582948,0.007736102,0.0001455085,0.0004129655,0.001272086,0.0008474361,0.09703292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04766476,"threshold_uncertainty_score":0.3216807,"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."}}