{"id":"W3083338148","doi":"10.1093/noajnl/vdaa076","title":"Cervicomedullary hemangioblastoma treated with bevacizumab","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bevacizumab; Hemangioblastoma; Medicine; Internal medicine; Radiology; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001208356,0.0004536597,0.0006291989,0.000628062,0.0004940653,0.0002104711,0.0003875201,0.0006443301,0.0005313362],"category_scores_gemma":[0.0005580045,0.0001358422,0.0004096544,0.0003960648,0.0002736288,0.0003500192,0.0002410599,0.001438165,0.0002272896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009283292,"about_ca_system_score_gemma":0.0004495624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002599071,"about_ca_topic_score_gemma":0.007245275,"domain_scores_codex":[0.9998924,0.00001098311,0.00001097982,0.00002106098,0.00003197692,0.00003269286],"domain_scores_gemma":[0.9998196,0.00003002008,0.00002368573,0.0000153861,0.00002164712,0.00008960777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.003689852,0.002813007,0.02811121,0.0007745938,0.0003771859,0.6342878,0.0005560201,0.005412552,0.07898801,0.001734711,0.00852889,0.2347262],"study_design_scores_gemma":[0.00210824,0.009538353,0.08586139,0.0004103134,0.0004366075,0.8126106,0.0001555662,0.02755746,0.02384292,0.002840701,0.03451084,0.0001270495],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491726,0.01986389,0.008067535,0.003839159,0.0007043178,0.000581443,0.0002645383,0.000659046,0.01684748],"genre_scores_gemma":[0.9902834,0.003215853,0.001828003,0.001811889,0.0002327742,0.00008058781,0.0004057802,0.00002385681,0.00211787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002599071,"threshold_uncertainty_score":0.006735504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009166467230014892,"score_gpt":0.2486096464018903,"score_spread":0.2394431791718755,"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."}}