{"id":"W4200540415","doi":"10.1126/sciadv.abi5568","title":"Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto; McMaster University","funders":"National Human Genome Research Institute","keywords":"Medulloblastoma; Profiling (computer programming); Gene expression profiling; Medicine; Oncology; Bioinformatics; Computational biology; Cancer research; Gene; Biology; Gene expression; Computer science; Genetics","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":[0.0001829338,0.000135261,0.0001862679,0.0004797982,0.0001465443,0.0003629582,0.0001424859,0.0001792928,0.001394773],"category_scores_gemma":[0.0002786737,0.0001604604,0.0001521817,0.0003625011,0.00009937309,0.0001434032,0.0001308984,0.0002752529,0.000341393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437021,"about_ca_system_score_gemma":0.0002409586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003776671,"about_ca_topic_score_gemma":0.007234657,"domain_scores_codex":[0.999861,0.00001345759,0.000009164355,0.0000329604,0.00005725423,0.00002618679],"domain_scores_gemma":[0.9999235,0.000010844,0.00002825717,0.000008569579,0.00001847881,0.00001038263],"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":[0.0003443779,0.00004660341,0.01083496,0.00007031592,0.00002476992,0.00006036044,0.00006325098,0.0004811679,0.9748501,0.0002256072,0.000411964,0.01258665],"study_design_scores_gemma":[0.00002635376,0.0007754658,0.1653498,0.00001411298,0.000102197,0.0008694684,0.0001349751,0.005509488,0.8168131,0.0001563,0.01023351,0.00001520642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875265,0.001966359,0.004921246,0.00008976809,0.00001620607,0.00009833695,0.003293519,0.0001847779,0.001903165],"genre_scores_gemma":[0.9935377,0.0006442635,0.002094135,0.00002912058,0.000003358816,0.00007562026,0.001763974,0.00002082643,0.001830978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003776671,"threshold_uncertainty_score":0.007509351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329128419477018,"score_gpt":0.321596776636858,"score_spread":0.2983054924420878,"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."}}