{"id":"W1896760514","doi":"10.1016/j.semradonc.2015.05.004","title":"Hypoxia and Predicting Radiation Response","year":2015,"lang":"en","type":"review","venue":"Seminars in Radiation Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"Terry Fox Foundation; Ontario Ministry of Health and Long-Term Care; Princess Margaret Cancer Foundation","keywords":"Hypoxia (environmental); Medicine; Radiation therapy; Tumor hypoxia; Phenotype; Cancer research; Tumor microenvironment; Bioinformatics; Cancer; Oncology; Gene; Internal medicine; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107735,0.0009055103,0.001859513,0.001527062,0.0002241444,0.001318844,0.0009704405,0.001451409,0.001898219],"category_scores_gemma":[0.001578255,0.0003685341,0.0005826214,0.001670057,0.0007567984,0.0008980347,0.0006583045,0.002528721,0.001023766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009384262,"about_ca_system_score_gemma":0.001042076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130732,"about_ca_topic_score_gemma":0.003080123,"domain_scores_codex":[0.999738,0.00006257965,0.00003244101,0.00006413949,0.000079982,0.00002287254],"domain_scores_gemma":[0.9994038,0.0003497045,0.00007987829,0.00001486841,0.0001190639,0.00003273219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489158,0.00007617556,0.001819147,0.006750786,0.0002473305,0.0001808094,0.00004686005,0.0005621067,0.001203175,0.004539897,0.03801065,0.9464142],"study_design_scores_gemma":[0.00008404648,0.000237603,0.01149171,0.008937173,0.0008787327,0.002477009,0.0001766482,0.0008571138,0.001846864,0.01458982,0.95831,0.000113291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001081156,0.9986247,0.0001254199,0.0005064986,0.000252582,0.00000212944,0.00001562606,0.000004150397,0.0003607918],"genre_scores_gemma":[0.001894695,0.9963751,0.0002533369,0.0003642896,0.000706662,0.000007444871,0.00004058182,0.000001579554,0.0003562333],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002130732,"threshold_uncertainty_score":0.006808817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424802791888659,"score_gpt":0.3546344568104682,"score_spread":0.3303864288915816,"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."}}