{"id":"W3112056129","doi":"10.1093/neuonc/noaa222.570","title":"MBRS-66. COST-EFFECTIVE METHOD TO INCORPORATE MOLECULAR CLASSIFICATION OF MEDULLOBLASTOMA INTO A LATIN-AMERICAN CLINICAL TRIAL","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medulloblastoma; Wnt signaling pathway; Monosomy; Immunohistochemistry; Internal medicine; Fluorescence in situ hybridization; Oncology; Cancer research; Histogenesis; Medicine; Biology; Pathology; Bioinformatics; Gene; Genetics; Karyotype","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":[0.01231075,0.0007136012,0.001226134,0.0009248111,0.0003141689,0.001310339,0.0005229588,0.0009061965,0.01624404],"category_scores_gemma":[0.01064253,0.0003458374,0.001351307,0.0008500152,0.0004080968,0.0008024987,0.000909779,0.0009996297,0.002481347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386639,"about_ca_system_score_gemma":0.002610643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008067767,"about_ca_topic_score_gemma":0.001438533,"domain_scores_codex":[0.9930948,0.00552839,0.000367099,0.0003752829,0.000372487,0.0002619919],"domain_scores_gemma":[0.9970806,0.0007340048,0.0009731655,0.0003027536,0.0004281875,0.0004812908],"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":[0.2613921,0.007939298,0.03327827,0.002096565,0.003234597,0.0003292496,0.0001606164,0.007413975,0.008686406,0.005742365,0.02261427,0.6471123],"study_design_scores_gemma":[0.4016865,0.1475928,0.113631,0.002098176,0.007147578,0.0009589199,0.0003718474,0.03123422,0.00759855,0.01437062,0.2731023,0.0002074043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6600218,0.03159481,0.07931273,0.02515657,0.00402347,0.09129511,0.01797481,0.003273058,0.08734758],"genre_scores_gemma":[0.8693063,0.003869287,0.06263805,0.005670364,0.0007033853,0.04175719,0.005137268,0.000256131,0.01066199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01624404,"threshold_uncertainty_score":0.06510627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892589931349365,"score_gpt":0.3908982649223801,"score_spread":0.3419723656088864,"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."}}