{"id":"W2438390390","doi":"10.1093/neuonc/now076.95","title":"MB-100DIVERGENT CLONAL SELECTION DOMINATES MEDULLOBLASTOMA AT RECURRENCE","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Hospital for Sick Children","funders":"","keywords":"Medulloblastoma; Selection (genetic algorithm); Biology; Clonal selection; Genetics; Computer science; Artificial intelligence; Immunology","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":[0.0001682632,0.0001528075,0.0002840975,0.0003106206,0.0001140759,0.0002678876,0.0001699059,0.0001923775,0.001308176],"category_scores_gemma":[0.0001681622,0.0001069295,0.0001063959,0.0001245582,0.0002170037,0.0001277211,0.0001771698,0.0003097444,0.000236994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876461,"about_ca_system_score_gemma":0.0001798177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086222,"about_ca_topic_score_gemma":0.004079386,"domain_scores_codex":[0.9998258,0.00002647751,0.00000800714,0.00004741634,0.00005738357,0.00003508888],"domain_scores_gemma":[0.9998473,0.00003187832,0.00004125042,0.00002249342,0.00001820749,0.00003887252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001486305,0.00002838522,0.003619686,0.00001340874,0.000007809992,0.00006814527,0.00002985112,0.00008969897,0.9929455,0.000183904,0.00005861658,0.002806374],"study_design_scores_gemma":[0.00003726792,0.001150617,0.1328339,0.000008507351,0.00005944684,0.002121427,0.0001190728,0.003399197,0.8522599,0.0002738448,0.007726908,0.000009941889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967908,0.000573059,0.001146129,0.00003348776,0.000003662659,0.00001291478,0.0001105761,0.00005708763,0.001272206],"genre_scores_gemma":[0.9972183,0.0002043818,0.0006672425,0.00002581824,0.000002334583,0.00001123717,0.0002060357,0.00002142501,0.001643241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002086222,"threshold_uncertainty_score":0.004376292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903442326338779,"score_gpt":0.2942355282133359,"score_spread":0.2752011049499481,"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."}}