{"id":"W2793764853","doi":"10.1002/pamm.201710381","title":"Construction of a Lyapunov functional for a class of controlled population balance models","year":2017,"lang":"en","type":"article","venue":"PAMM","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strategic Innovation Fund","keywords":"Lyapunov function; Mathematics; Class (philosophy); Applied mathematics; Population; Norm (philosophy); Stability theory; Balance (ability); Nonlinear system; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009541775,0.0007766378,0.0005605791,0.0009414949,0.0005539585,0.0009692486,0.0007470292,0.0009621589,0.0018249],"category_scores_gemma":[0.001140048,0.0003043065,0.0007438776,0.0002150595,0.0007370176,0.0005970943,0.001231436,0.000645696,0.0002176923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009568207,"about_ca_system_score_gemma":0.0009495297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578204,"about_ca_topic_score_gemma":0.0007829925,"domain_scores_codex":[0.9997577,0.00007940822,0.00001239174,0.00004470292,0.00007207537,0.00003363228],"domain_scores_gemma":[0.9996672,0.0001083399,0.00007679023,0.00001591538,0.00008808562,0.00004374057],"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":[0.00006209869,0.0001162669,0.001319075,0.0001536255,0.0001017386,0.0004163832,0.0002304294,0.4833813,0.03007555,0.4676409,0.001265261,0.01523741],"study_design_scores_gemma":[0.000007498285,0.00005470912,0.00009621247,0.000005963741,0.000005111621,0.00002255893,0.00001220998,0.9834664,0.000830782,0.01489766,0.0005929757,0.000007873017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155367,0.0002728032,0.833243,0.0004755548,0.00008692394,0.0001316763,0.0000859487,0.0001803485,0.01015679],"genre_scores_gemma":[0.9581236,0.0001711794,0.03419169,0.00008612972,0.00003993683,0.0003189529,0.0001141251,0.00004357588,0.006910667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0018249,"threshold_uncertainty_score":0.006942213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615794965492747,"score_gpt":0.2863718977507375,"score_spread":0.24021394809581,"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."}}