{"id":"W2511887022","doi":"10.1016/j.molonc.2016.07.012","title":"Transcript signatures that predict outcome and identify targetable pathways in MYCN‐amplified neuroblastoma","year":2016,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Stem Cell Network","keywords":"Neuroblastoma; PARP1; Oncology; Medicine; Internal medicine; Biology; Bioinformatics; Cancer research; Gene; Polymerase; Poly ADP ribose polymerase; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039428,0.0002368565,0.0004828943,0.0002850303,0.00005250976,0.00001906905,0.0001315576,0.0002105205,0.0001370411],"category_scores_gemma":[0.0001693706,0.0001605983,0.0001168353,0.0001765571,0.0001740546,0.0001061051,0.00008281948,0.0003088019,0.0000618385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404163,"about_ca_system_score_gemma":0.0001434427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003172758,"about_ca_topic_score_gemma":0.0000676603,"domain_scores_codex":[0.9979857,0.0002291737,0.0003009084,0.0005283322,0.0003412576,0.0006146161],"domain_scores_gemma":[0.9990752,0.0001594803,0.00006206643,0.0003296372,0.00004804472,0.0003255243],"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":[0.0008043326,0.0004704783,0.04171754,0.00006556675,0.00009266248,0.008710682,0.00007608332,0.000002283106,0.9393829,0.0003376273,0.0004682068,0.007871694],"study_design_scores_gemma":[0.02060172,0.006073284,0.6338018,0.0001783359,0.0001753636,0.0008424862,0.00006021723,0.00006807324,0.3186232,0.001468275,0.01768792,0.0004192819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931185,0.0005675509,0.0007615497,0.002654247,0.000172494,0.0006886417,0.00002670505,0.00008101388,0.001929283],"genre_scores_gemma":[0.9976907,0.0001148698,0.0002892116,0.001127332,0.00002859065,0.00009362163,0.00001061479,0.00004339773,0.0006016665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6207596,"threshold_uncertainty_score":0.654901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970649951128521,"score_gpt":0.3269803682311851,"score_spread":0.2872738687198999,"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."}}