{"id":"W3093731430","doi":"10.1016/j.bpj.2021.02.004","title":"EGGTART: A tool to visualize the dynamics of biophysical transport under the inhomogeneous l-TASEP","year":2021,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Asymmetric simple exclusion process; Statistical physics; Computer science; Stochastic process; Realization (probability); Jump; Software; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003710586,0.0006052871,0.0005842366,0.0009203982,0.0005208282,0.001322092,0.00119922,0.001265732,0.0125631],"category_scores_gemma":[0.001373557,0.0002990946,0.000594648,0.0006849154,0.0004806528,0.001726555,0.001302335,0.00148248,0.001446512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220003,"about_ca_system_score_gemma":0.0007531318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205787,"about_ca_topic_score_gemma":0.001970393,"domain_scores_codex":[0.9998997,0.00001992447,0.000006108064,0.00001775601,0.00003180316,0.00002471123],"domain_scores_gemma":[0.9995108,0.0002598444,0.00004855567,0.00005629807,0.00005666537,0.00006776933],"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":[0.0009904653,0.000337783,0.005289688,0.001449727,0.000329255,0.002602776,0.001390884,0.3120353,0.1826109,0.2476926,0.07945197,0.1658187],"study_design_scores_gemma":[0.00004888668,0.0000263918,0.0007868761,0.0000328572,0.00001587348,0.0001935173,0.00004465856,0.9365745,0.0156957,0.033895,0.01262874,0.00005698885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05408457,0.0002441171,0.8929693,0.0004753651,0.0001751155,0.00005725411,0.00351987,0.04097535,0.007498998],"genre_scores_gemma":[0.5260315,0.0009471505,0.4504485,0.0004276897,0.0001207834,0.0003223867,0.003599789,0.01144414,0.006658087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0125631,"threshold_uncertainty_score":0.04202777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833369151692018,"score_gpt":0.3160188703214659,"score_spread":0.2876851788045457,"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."}}