{"id":"W3021322756","doi":"10.18632/oncoscience.364","title":"Drug-induced activation of \"junk\" DNA - A path to combat cancer therapy resistance?","year":2017,"lang":"en","type":"editorial","venue":"Oncoscience","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer; Cancer therapy; Path (computing); Resistance (ecology); Medicine; Cancer research; Biology; Internal medicine; Computer science; Computer network","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":[0.003758531,0.002384673,0.001863561,0.00125979,0.001470571,0.004245996,0.00231116,0.00975096,0.007272755],"category_scores_gemma":[0.00668237,0.0007703229,0.001445264,0.0005921033,0.001943514,0.003839351,0.001528529,0.01685806,0.004701352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212215,"about_ca_system_score_gemma":0.002040265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005163449,"about_ca_topic_score_gemma":0.00156554,"domain_scores_codex":[0.9981028,0.0002826546,0.0002328266,0.0002167428,0.0009679872,0.0001969724],"domain_scores_gemma":[0.9960169,0.001362687,0.0003634262,0.0001244445,0.001241028,0.0008914875],"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":[0.0001022007,0.00002439244,0.00003490285,0.0003398827,0.0000254715,0.000180214,0.00001256965,0.00003806008,0.0004690851,0.001148179,0.9859315,0.01169353],"study_design_scores_gemma":[0.00007652156,0.00005302602,0.000197409,0.0001678405,0.0000446952,0.000322205,0.00002568905,0.0001265207,0.0006152223,0.001405983,0.9969499,0.00001508356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001544738,0.01980655,0.0002594895,0.04501823,0.9325504,0.00002245481,0.00005828753,0.00006255075,0.002067477],"genre_scores_gemma":[0.00159518,0.02405134,0.0002503419,0.04193445,0.912386,0.00003745824,0.0000658424,0.00004514617,0.01963427],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.00975096,"threshold_uncertainty_score":0.02432978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448410013580369,"score_gpt":0.3048566006164932,"score_spread":0.2903725004806895,"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."}}