{"id":"W2781853425","doi":"10.1007/s11538-017-0386-y","title":"Correction To: Application of Quasi-Steady-State Methods to Nonlinear Models of Intracellular Transport by Molecular Motors","year":2018,"lang":"en","type":"erratum","venue":"Bulletin of Mathematical Biology","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nonlinear system; Molecular motor; Intracellular transport; Intracellular; State (computer science); Computer science; Steady state (chemistry); Control theory (sociology); Statistical physics; Biophysics; Physics; Algorithm; Artificial intelligence; Chemistry; Biology; Control (management); 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":[0.003757807,0.002984395,0.002525671,0.005944199,0.003087404,0.003838602,0.004606648,0.006102809,0.08901249],"category_scores_gemma":[0.06487095,0.001447574,0.002300769,0.003347565,0.002529103,0.00413124,0.002533924,0.008391825,0.04695379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004775947,"about_ca_system_score_gemma":0.004758746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009270202,"about_ca_topic_score_gemma":0.01323938,"domain_scores_codex":[0.9951998,0.0007939695,0.0009784328,0.0006446099,0.00201227,0.0003708278],"domain_scores_gemma":[0.9604232,0.006761546,0.001461698,0.002609238,0.02709669,0.001647602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006836607,0.00001336821,0.00007151328,0.0002809831,0.00001911328,0.0002054736,0.00003426821,0.0002398574,0.00008779264,0.003127471,0.9862899,0.009561942],"study_design_scores_gemma":[0.00007050931,0.00004683295,0.0006803755,0.0003076688,0.00004363367,0.0006736575,0.00008455874,0.001979465,0.000772003,0.007239414,0.9880265,0.00007529846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001203769,0.0006473095,0.001570052,0.01351419,0.9814523,0.00002297806,0.0005259041,0.0003100672,0.001836927],"genre_scores_gemma":[0.02221749,0.009568672,0.01767662,0.03565577,0.4675555,0.0003594462,0.003929375,0.003196312,0.4398408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08901249,"threshold_uncertainty_score":0.2977765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007090804241898846,"score_gpt":0.2556037791652287,"score_spread":0.2485129749233299,"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."}}