{"id":"W2036591697","doi":"10.3934/dcdsb.2005.5.319","title":"Drift-diffusion limits of kinetic models for chemotaxis: A generalization","year":2005,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - B","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Limit (mathematics); Diffusion; Generalization; Kinetic energy; Chemotaxis; Type (biology); Diffusion equation; Extension (predicate logic); Physics; Statistical physics; Mathematics; Mathematical analysis; Mathematical physics; Thermodynamics; Classical mechanics; Chemistry; Computer science; Geology","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":[0.0002946996,0.0002154818,0.0006026879,0.00005818119,0.00006356614,0.00003148188,0.000156788,0.0001893473,0.00001091389],"category_scores_gemma":[0.0002206952,0.000164283,0.0001182204,0.00008580925,0.00009544502,0.00008681602,0.00005359663,0.00008363755,0.000002226366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002717345,"about_ca_system_score_gemma":0.00001060549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000345342,"about_ca_topic_score_gemma":0.00001958945,"domain_scores_codex":[0.9984664,0.00008201153,0.0006563748,0.0003116685,0.0001866322,0.0002969143],"domain_scores_gemma":[0.9989383,0.0003022891,0.0002573787,0.0002732559,0.0001178875,0.0001108871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007189849,0.0001880334,0.0002652238,0.001023218,0.00007333903,0.000001555033,0.0005030276,0.00007402647,0.01446464,0.9811665,0.0004000143,0.001768492],"study_design_scores_gemma":[0.001324242,0.0002508365,0.00009887139,0.0003240535,0.0001394868,0.00003278675,0.0001913928,0.8886487,0.00102512,0.1071731,0.0004536021,0.0003377789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6679492,0.0003122706,0.3286217,0.0001966508,0.00007137206,0.0009524488,0.00005179602,0.00008230206,0.001762215],"genre_scores_gemma":[0.9885551,0.00001957093,0.009975468,0.00003767924,0.0001250401,0.000121218,0.00004005019,0.00003421487,0.001091603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8885747,"threshold_uncertainty_score":0.6699266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328551401042271,"score_gpt":0.2750886006367295,"score_spread":0.2518030866263068,"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."}}