{"id":"W7125010988","doi":"10.1101/2024.08.20.608880","title":"Mathematical Modelling of Microtube-Driven Regrowth of Glioma After Local Resection","year":2024,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glioblastoma; Glioma; Cancer; Resection; Tumor cells; Process (computing); Rat model","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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002953091,0.0018498,0.00372233,0.001362044,0.0001496187,0.0001575169,0.001608989,0.00243205,0.0007127986],"category_scores_gemma":[0.001461628,0.001794454,0.001284512,0.001879623,0.001880394,0.0002006771,0.002571603,0.00283697,0.0005479091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990737,"about_ca_system_score_gemma":0.001004928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000294114,"about_ca_topic_score_gemma":0.00000197441,"domain_scores_codex":[0.989105,0.0007428135,0.004730726,0.002404897,0.001511264,0.001505272],"domain_scores_gemma":[0.9896107,0.001347172,0.002861226,0.003746256,0.001776881,0.0006578144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000999667,0.002470452,0.000432329,0.07129738,0.002158185,0.0004908441,0.0003079409,0.0006300091,0.7373368,0.1836688,0.0002054772,0.000002088809],"study_design_scores_gemma":[0.00105039,0.0005446126,0.0002562146,0.01505754,0.00206034,0.000001197131,0.00004147336,0.09350342,0.8714922,0.01412911,0.00004296717,0.00182054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164555,0.001505,0.1776398,0.0001624876,0.0008962686,0.002265435,0.0006112733,0.0003429113,0.0001213864],"genre_scores_gemma":[0.9164458,0.0001795987,0.08194731,0.00002509246,0.000391854,0.0004963758,4.222771e-7,0.0004946025,0.00001892681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1695397,"threshold_uncertainty_score":0.9994635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478657470704758,"score_gpt":0.24084017935589,"score_spread":0.2160536046488424,"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."}}