{"id":"W2952687085","doi":"10.1038/s41540-018-0074-z","title":"Expression-based analyses indicate a central role for hypoxia in driving tumor plasticity through microenvironment remodeling and chromosomal instability","year":2018,"lang":"en","type":"article","venue":"npj Systems Biology and Applications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Cancer Agency; University of Saskatchewan; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; Government of Canada; Saskatchewan Cancer Agency","keywords":"Transcriptome; Biology; Tumor microenvironment; Chromosome instability; Gene; Tumor progression; Downregulation and upregulation; Hypoxia (environmental); Cancer research; Gene expression; Genome instability; Cancer; Genetics; Chromosome; DNA damage; Chemistry","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":[0.00009212478,0.0001149027,0.0001563571,0.00002574699,0.0001670844,0.00001709687,0.00008010976,0.0001168027,0.000002028573],"category_scores_gemma":[0.00004769419,0.0001061267,0.00002787997,0.00004259701,0.0002280878,0.000003316364,0.00007017906,0.00005105142,7.582539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002327805,"about_ca_system_score_gemma":0.00004978945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008845002,"about_ca_topic_score_gemma":0.0001139457,"domain_scores_codex":[0.9991036,0.00003755268,0.0002278523,0.0003950113,0.00002546917,0.0002105164],"domain_scores_gemma":[0.9995695,0.00007743295,0.00009527249,0.0001711579,0.00002582948,0.00006079437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005071002,0.0000743315,0.05440927,0.00003549845,0.00001404569,1.149308e-7,0.00005807164,0.0003541703,0.9440929,0.000377687,0.00003053861,0.0005027122],"study_design_scores_gemma":[0.003963235,0.001077203,0.2022801,0.000193772,0.000144873,0.00003295156,0.0009074048,0.04030509,0.6231638,0.002761976,0.1241097,0.001059899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381231,0.001245104,0.05980371,0.00004944369,0.00004117343,0.0005458323,0.0001318789,0.000006369206,0.00005337391],"genre_scores_gemma":[0.9971573,0.000120807,0.001845721,0.0000978397,0.0002508847,0.0004038457,0.0001098991,0.000009190397,0.000004538221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3209291,"threshold_uncertainty_score":0.4327722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167578563942841,"score_gpt":0.2862283662428569,"score_spread":0.2694705098485727,"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."}}