{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001741062,0.0003301609,0.0009679986,0.0003104617,0.00006035742,0.00002238454,0.0001937119,0.001006016,0.00001195512],"category_scores_gemma":[0.0009077336,0.0003404173,0.0001432462,0.0002530322,0.0001001072,0.000008696955,0.0001181746,0.0003232444,0.00001260918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329324,"about_ca_system_score_gemma":0.001400297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829371,"about_ca_topic_score_gemma":0.00003728224,"domain_scores_codex":[0.9974145,0.0008776102,0.000620341,0.0005993149,0.000154052,0.0003342299],"domain_scores_gemma":[0.9987452,0.000186002,0.000482936,0.0003623643,0.00006655987,0.0001569325],"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":[0.0001389561,0.00003755328,0.00005266273,0.0003684413,0.00004507175,0.000004194532,0.0001585499,0.000008950585,0.000130146,0.00001232495,0.01382522,0.9852179],"study_design_scores_gemma":[0.0008122388,0.0003288055,0.0001515329,0.0004287133,0.0001830382,0.000145584,0.00005319369,0.00002301827,0.0000198597,0.00002273694,0.9975287,0.0003026339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002027377,0.9942144,0.00002014018,0.00005776756,0.002275427,0.0006725143,0.00007995546,0.0000180496,0.0006344178],"genre_scores_gemma":[0.00007839912,0.9953433,0.0002884742,0.0001079566,0.002354753,0.0002019553,0.0006008529,0.00005463829,0.000969723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9849153,"threshold_uncertainty_score":0.9999048,"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."}}