{"id":"W4389882563","doi":"10.32920/24625167","title":"Investigating a Fractional Derivative Approach to Tumour Growth and Irradiation Modelling","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Radiation therapy; Fractional calculus; Cancer; Derivative (finance); Medicine; Computer science; Mathematics; Medical physics; Applied mathematics; Internal medicine; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009678358,0.0005964549,0.0005879122,0.0007000737,0.0005090066,0.001957869,0.0008374347,0.001673122,0.001969934],"category_scores_gemma":[0.0032086,0.0002656433,0.001177061,0.000666647,0.001184038,0.001006487,0.001134452,0.001092626,0.0002446934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910474,"about_ca_system_score_gemma":0.0009712328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007855,"about_ca_topic_score_gemma":0.003439032,"domain_scores_codex":[0.9997036,0.0001274856,0.00001202322,0.00003868694,0.00007767528,0.00004049696],"domain_scores_gemma":[0.9986533,0.0009605497,0.0001639802,0.00006134805,0.0001179825,0.00004292475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002226965,0.00002548217,0.0008008842,0.00005219027,0.00001702949,0.0001263837,0.0001374772,0.8459371,0.002174861,0.142887,0.0007896938,0.007029719],"study_design_scores_gemma":[0.000002242354,0.000008992111,0.0001346714,0.000005967567,0.000004261051,0.00002445519,0.0000200454,0.9802634,0.0002300577,0.0180876,0.001212369,0.000005902341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1210812,0.002494512,0.8245134,0.004891826,0.000263956,0.00005985992,0.0002045799,0.0002292743,0.0462614],"genre_scores_gemma":[0.9165422,0.001625467,0.05465979,0.0003517441,0.0001693263,0.0000782093,0.0001288195,0.0001270872,0.02631743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007855,"threshold_uncertainty_score":0.0200398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666043494752025,"score_gpt":0.326429849576858,"score_spread":0.1598255001016555,"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."}}