{"id":"W1965254413","doi":"10.1038/nrc2231","title":"Reflecting on 25 years with MYC","year":2008,"lang":"en","type":"review","venue":"Nature reviews. Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1620,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Amgen (Canada)","funders":"","keywords":"Biology; Computational biology","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":[0.001529772,0.001276202,0.00156987,0.001562492,0.001003061,0.003329147,0.001457368,0.004153192,0.0119987],"category_scores_gemma":[0.002669739,0.0004540559,0.0007399854,0.002032654,0.00216396,0.00641973,0.002632832,0.00913954,0.008970164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535077,"about_ca_system_score_gemma":0.001314275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009944291,"about_ca_topic_score_gemma":0.002566521,"domain_scores_codex":[0.999523,0.00008496004,0.0000438003,0.00009142044,0.0001839661,0.00007277768],"domain_scores_gemma":[0.9987307,0.0005192503,0.00008904665,0.00006533228,0.0003240111,0.000271709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001228821,0.00003680883,0.000100942,0.00214152,0.00003279964,0.0002143227,0.0001010121,0.0001957717,0.0009848084,0.01453077,0.5877326,0.3938058],"study_design_scores_gemma":[0.000007170208,0.00001365885,0.00007782338,0.0004723879,0.000007493503,0.0003411069,0.00003562303,0.0000173451,0.00006758956,0.002182824,0.9967699,0.000007053567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001169094,0.9538506,0.0004755802,0.02341142,0.01812513,0.00000633842,0.00004524077,0.00004802875,0.003920681],"genre_scores_gemma":[0.001313179,0.9277555,0.0006336201,0.04155432,0.0144711,0.00002239578,0.0001235889,0.00002543473,0.01410087],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0119987,"threshold_uncertainty_score":0.04013968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846890561149245,"score_gpt":0.407336759381881,"score_spread":0.3588678537703885,"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."}}