{"id":"W4210888315","doi":"10.1111/cpr.13187","title":"A multiscale cell‐based model of tumor growth for chemotherapy assessment and tumor‐targeted therapy through a 3D computational approach","year":2022,"lang":"en","type":"article","venue":"Cell Proliferation","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemotherapy; Intracellular; Tumor progression; Cancer; Tumor cells; Transduction (biophysics); Cancer therapy; Biology; Medicine; Computer science; Cancer research; Internal medicine; Cell biology","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":[0.0002444639,0.000601538,0.0006260599,0.0005408219,0.0004025186,0.0009939503,0.001248309,0.001649026,0.00212021],"category_scores_gemma":[0.0009235924,0.0004425111,0.001043393,0.0004900596,0.0006451849,0.0004858905,0.0008764727,0.000701167,0.0003101616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009806681,"about_ca_system_score_gemma":0.001248128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009707491,"about_ca_topic_score_gemma":0.004557305,"domain_scores_codex":[0.9998877,0.00003390105,0.000006154758,0.00001955443,0.00003918331,0.00001335766],"domain_scores_gemma":[0.9997128,0.0001548353,0.0000421129,0.00002066032,0.00003865551,0.00003099524],"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":[0.000008821377,0.00001386578,0.0002511447,0.00002010234,0.00000937624,0.00004142589,0.00001706005,0.9893171,0.001773437,0.006868868,0.0002447822,0.001434085],"study_design_scores_gemma":[0.000002246742,0.000002693472,0.00003948433,0.000002038492,0.000002194525,0.000007273602,0.000001810945,0.9988781,0.00006880998,0.0006847833,0.0003084511,0.000002174025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06417568,0.0009364384,0.9163224,0.00133364,0.0001741802,0.0001278772,0.0007036176,0.0004238781,0.01580237],"genre_scores_gemma":[0.8146053,0.00150586,0.1723094,0.0004558174,0.0001508272,0.0007328161,0.0006246649,0.0002513972,0.009363959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009707491,"threshold_uncertainty_score":0.01930195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038013160740657,"score_gpt":0.304794202559417,"score_spread":0.2544140709520104,"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."}}