{"id":"W2773863753","doi":"10.1007/s11538-017-0371-5","title":"Mathematical Modeling of the Effects of Tumor Heterogeneity on the Efficiency of Radiation Treatment Schedule","year":2017,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Radioresistance; Radiation therapy; Schedule; Radiosensitivity; Computer science; Cancer; Reduction (mathematics); Biology; Medicine; Mathematics; Internal medicine; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001405807,0.0003508898,0.001337909,0.00007382753,0.0001718861,0.000008586502,0.001249322,0.0002281275,0.0005967875],"category_scores_gemma":[0.0169477,0.0001712704,0.0005246022,0.00008249794,0.001540966,0.00001423678,0.0003496741,0.0002051448,0.00006232791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003939173,"about_ca_system_score_gemma":0.00006008143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001119845,"about_ca_topic_score_gemma":9.61584e-7,"domain_scores_codex":[0.9969434,0.0005095824,0.001467202,0.0003446454,0.0003641736,0.0003710562],"domain_scores_gemma":[0.9888572,0.007388902,0.001587828,0.001925672,0.0001654543,0.00007493029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001179279,0.002378279,0.0003153391,0.003082621,0.000221462,0.000001596319,0.0003250502,0.000008324578,0.01899352,0.9739841,0.0001120036,0.0004597812],"study_design_scores_gemma":[0.0009324417,0.001272109,0.000121658,0.0008347094,0.0002252492,0.0000161789,0.0000580049,0.003842074,0.5077001,0.4847937,0.00003433324,0.0001694714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844723,0.00008283704,0.005690943,0.001049108,0.00008493727,0.001278849,0.00003414779,0.00002157851,0.007285349],"genre_scores_gemma":[0.9934496,0.00001128004,0.006259547,0.0000343478,0.00002916501,0.00008350154,0.000001363774,0.00002885282,0.0001023674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4891904,"threshold_uncertainty_score":0.9913329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920829162020414,"score_gpt":0.3053072372055125,"score_spread":0.2660989455853084,"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."}}