{"id":"W4408344842","doi":"10.1002/mma.10863","title":"Dynamical Analysis of a Simple Tumor‐Immune Model With Two‐Stage Lymphocytes","year":2025,"lang":"en","type":"article","venue":"Mathematical Methods in the Applied Sciences","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Simple (philosophy); Stage (stratigraphy); Immune system; Pure mathematics; Immunology; Medicine; Biology; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.0107031,0.0003467705,0.001394215,0.000692564,0.0002040605,0.00007276586,0.00171589,0.0000986028,0.0001518482],"category_scores_gemma":[0.002525885,0.0001838631,0.0002417652,0.004744623,0.001929346,0.00006909661,0.0003133311,0.0003102339,0.00000639565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007402814,"about_ca_system_score_gemma":0.000159553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009932767,"about_ca_topic_score_gemma":0.0000210821,"domain_scores_codex":[0.9962673,0.0006872737,0.001199642,0.0005921827,0.0006695189,0.0005840964],"domain_scores_gemma":[0.9848786,0.01363402,0.0003686429,0.0009897604,0.00006348891,0.00006551403],"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":[0.0000430925,0.0004036374,0.0001473996,0.0002817934,0.0002233013,0.000003558215,0.0009352603,0.001305646,0.003271064,0.9929828,0.00001661715,0.0003858164],"study_design_scores_gemma":[0.0003062185,0.0000384028,0.00006413075,0.00005027364,0.0004616837,0.000004005511,0.001109814,0.3497922,0.004163741,0.6438627,0.000003511012,0.0001432959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1859241,0.00003191172,0.7462077,0.0002595833,0.00001289723,0.0006153438,0.00001005627,0.00006334556,0.06687512],"genre_scores_gemma":[0.4299656,7.911191e-7,0.569581,0.0001958309,0.000003824475,0.0001410703,0.000001187427,0.000009592552,0.0001010766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3491201,"threshold_uncertainty_score":0.7497718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962056952653398,"score_gpt":0.4384743285899812,"score_spread":0.3688537590634472,"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."}}