{"id":"W4379162461","doi":"10.1002/mma.9341","title":"On the role of optimization in the cancer treatment by radiation therapy (RT)","year":2023,"lang":"en","type":"article","venue":"Mathematical Methods in the Applied Sciences","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Robustness (evolution); Radiation therapy; Mathematical optimization; Nonlinear system; Stability (learning theory); Absenteeism; Applied mathematics; Medicine; Control theory (sociology); Computer science; Control (management); Surgery; Machine learning; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01245959,0.0002161737,0.0003898583,0.0001394835,0.0002042043,0.00006274844,0.001246943,0.00009108482,0.0001964459],"category_scores_gemma":[0.001709489,0.0000819269,0.00008278811,0.001633074,0.0005887619,0.00004189923,0.00005390376,0.0002050878,0.00002317059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005291223,"about_ca_system_score_gemma":0.00003993946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001312041,"about_ca_topic_score_gemma":0.000004253472,"domain_scores_codex":[0.9966857,0.001461754,0.0005943789,0.0003255523,0.0005651165,0.0003674394],"domain_scores_gemma":[0.9762496,0.02291947,0.0002262364,0.0005636609,0.00001703115,0.00002396571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001701666,0.0003575066,0.00004144281,0.00002494864,0.00001289093,5.518908e-7,0.007887108,0.0004011425,0.001839449,0.978808,0.0003767864,0.01023314],"study_design_scores_gemma":[0.000247237,0.0001282922,0.00005389956,0.00003264848,0.00001398191,0.000002022393,0.004214658,0.02963621,0.0116413,0.9538285,0.0001011939,0.0001001309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7175481,0.0007481785,0.1226886,0.0213645,0.0001891447,0.00815763,0.00003479662,0.0002403672,0.1290287],"genre_scores_gemma":[0.7899504,0.0003021597,0.2051337,0.001315145,0.00006774652,0.003107266,0.000004822176,0.00003732535,0.00008145531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1289472,"threshold_uncertainty_score":0.431827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123419173766958,"score_gpt":0.4360223942929334,"score_spread":0.3236804769162376,"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."}}