{"id":"W2009370717","doi":"10.3389/fonc.2013.00052","title":"Mathematical Optimization of the Combination of Radiation and Differentiation Therapies for Cancer","year":2013,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta; Universities Space Research Association","keywords":"Cancer stem cell; Medicine; Radiation therapy; Cancer; Brain cancer; Head and neck cancer; Breast cancer; Cancer research; Cancer treatment; Cancer cell; Head and neck; Oncology; Internal medicine; Surgery","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":[0.00008581344,0.00003555979,0.000178904,0.0000570938,0.0000119933,0.000001647679,0.00002239673,0.00005236406,0.00005524453],"category_scores_gemma":[0.0000481399,0.00002443437,0.00002736675,0.0000694319,0.00005706343,0.00003389167,0.000007079891,0.00002893708,6.324973e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007360597,"about_ca_system_score_gemma":0.00004404429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004994246,"about_ca_topic_score_gemma":0.00001008056,"domain_scores_codex":[0.9996387,0.00003083743,0.0001667648,0.00005800159,0.0000550044,0.00005070697],"domain_scores_gemma":[0.9996951,0.00004372549,0.0001268876,0.00005800055,0.00006461766,0.00001171865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003074467,0.0006095598,0.2032264,0.0007206826,0.0001603329,8.607418e-8,0.003879082,0.002001313,0.008042508,0.00316716,0.008580581,0.7693048],"study_design_scores_gemma":[0.01305277,0.001318513,0.655697,0.0002280956,0.0005654333,0.000004484182,0.00216272,0.2472953,0.04873942,0.02487654,0.005865673,0.0001940572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197574,0.002150112,0.1719546,0.003621597,0.000679682,0.001414585,0.0000106836,0.000005283013,0.0004060595],"genre_scores_gemma":[0.9821109,0.0004818397,0.01708337,0.00006657006,0.00001941784,0.0001211097,0.00000891912,0.000004971307,0.000102854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7691107,"threshold_uncertainty_score":0.09964046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279878358509414,"score_gpt":0.2844390584402592,"score_spread":0.2716402748551651,"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."}}