{"id":"W1985380607","doi":"10.1186/1471-2105-14-s6-s10","title":"Analytical results on the Beauchemin model of lymphocyte migration","year":2013,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Simple (philosophy); Computer science; Stochastic modelling; Displacement (psychology); Point (geometry); Lymphocyte; Applied mathematics; Biological system; Statistical physics; Mathematics; Immunology; Biology; Statistics; Physics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168865,0.0002129423,0.0003408955,0.00008418064,0.00007344766,0.00003623978,0.0003894864,0.0001595633,0.000104539],"category_scores_gemma":[0.003011169,0.0001211238,0.0001417318,0.0001969678,0.0002125376,0.0001516441,0.00009543283,0.0001641043,0.0004134808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006160247,"about_ca_system_score_gemma":0.00008989625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022566,"about_ca_topic_score_gemma":0.000009366494,"domain_scores_codex":[0.9980954,0.00004643748,0.001057376,0.0001290918,0.000382103,0.0002896018],"domain_scores_gemma":[0.9966513,0.001934163,0.0004178061,0.0007476459,0.0001573068,0.00009180984],"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":[0.0001006372,0.0002981948,0.0001419405,0.0006863431,0.00006856645,3.40619e-7,0.00250181,0.0004414733,0.0002995516,0.9320973,0.06254794,0.0008159428],"study_design_scores_gemma":[0.000404701,0.00006996126,0.00003983608,0.00006691249,0.00003324078,0.000003962548,0.0003633591,0.8653497,0.004599618,0.1288799,0.00005492314,0.0001339585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6606883,0.0000147764,0.1654499,0.003004703,0.0001151596,0.002163649,0.0001584693,0.0002636136,0.1681414],"genre_scores_gemma":[0.5420176,0.00001519075,0.4547835,0.0007385052,0.00005293408,0.0001201554,0.00004066482,0.00003954174,0.002191901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8649082,"threshold_uncertainty_score":0.5314597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0844187858694037,"score_gpt":0.2880181692788446,"score_spread":0.2035993834094409,"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."}}