{"id":"W3104431497","doi":"10.1007/s00381-020-04944-5","title":"The rationale and development of a CyberKnife© registry for pediatric patients with CNS lesions","year":2020,"lang":"en","type":"article","venue":"Child s Nervous System","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Cyberknife; Medicine; Internal medicine; Radiosurgery; Radiation therapy","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":[0.03015955,0.0003569533,0.0006050242,0.003120633,0.002572681,0.003901423,0.002651598,0.002044926,0.003713052],"category_scores_gemma":[0.04977329,0.0006867883,0.001017895,0.003104801,0.001772411,0.004542035,0.004291218,0.004245157,0.001221569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763982,"about_ca_system_score_gemma":0.02135809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007600555,"about_ca_topic_score_gemma":0.0101178,"domain_scores_codex":[0.9808587,0.008279406,0.004072688,0.002383088,0.002724453,0.001681654],"domain_scores_gemma":[0.9164147,0.02857096,0.01646509,0.01234269,0.01836334,0.00784322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007663802,0.0007518854,0.7772166,0.0004685456,0.000147091,0.001188046,0.002382324,0.003972343,0.00216122,0.07327533,0.04278101,0.09488916],"study_design_scores_gemma":[0.001453244,0.002889991,0.6389251,0.003424896,0.0005157877,0.007579495,0.007155719,0.02453278,0.01310491,0.01779027,0.2823151,0.0003127122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686635,0.003323821,0.1121409,0.0996583,0.004027865,0.01797553,0.01210581,0.001014876,0.08108953],"genre_scores_gemma":[0.8322455,0.002082523,0.1234553,0.0141171,0.001398568,0.01391771,0.007582271,0.0002104957,0.004990571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03015955,"threshold_uncertainty_score":0.1595008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566247751870208,"score_gpt":0.2118389995973152,"score_spread":0.1961765220786131,"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."}}