{"id":"W3045551227","doi":"10.1016/j.wneu.2020.07.150","title":"Postoperative Magnetic Resonance Imaging After Surgery of Brain Metastases: Analysis of Extent of Resection and Potential Risk Factors for Incomplete Resection","year":2020,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Merck Sharp and Dohme; Daiichi-Sankyo; CMC Microsystems; Roche; Österreichischen Akademie der Wissenschaften; AbbVie; Sanofi; Merck; GlaxoSmithKline; AstraZeneca; Bristol-Myers Squibb","keywords":"Medicine; Magnetic resonance imaging; Neurosurgery; Resection; Surgery; Intraoperative MRI; Radiology; Interventional magnetic resonance imaging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003797011,0.0001818273,0.0002625691,0.0007043731,0.0001866713,0.000346111,0.0002432213,0.0002539374,0.0008701555],"category_scores_gemma":[0.002534816,0.0001268544,0.0002812511,0.0006054467,0.000252242,0.000433778,0.0002445087,0.0003073953,0.000105722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182901,"about_ca_system_score_gemma":0.0003895645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011403,"about_ca_topic_score_gemma":0.003376311,"domain_scores_codex":[0.9998171,0.00004262961,0.00002787789,0.00001886014,0.00004683407,0.0000467331],"domain_scores_gemma":[0.9982852,0.0004907425,0.0006935098,0.00007449812,0.0001344577,0.0003214891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002955861,0.00002164172,0.9980119,0.000004495327,0.00002237688,0.0002226892,0.00002632965,0.00004719366,0.0004245125,0.000009238338,0.00001351984,0.0009003847],"study_design_scores_gemma":[0.00000168025,0.00008916707,0.9991537,0.000002046877,0.00001621702,0.0003990294,0.00007884351,0.000117651,0.00008321977,0.00001290295,0.00004371085,0.000001802405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994009,0.0001971815,0.0000537537,0.00001897328,0.00000211797,0.000001831168,0.00005055166,7.886593e-7,0.0002739297],"genre_scores_gemma":[0.9996865,0.00008073731,0.00005780733,0.000005500944,0.000006786711,0.000001830703,0.00009013894,8.892928e-7,0.00006991831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002011403,"threshold_uncertainty_score":0.003999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415831141956328,"score_gpt":0.2667181943835144,"score_spread":0.2425598829639511,"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."}}