{"id":"W2153918878","doi":"10.1002/mats.201200058","title":"Mathematical Modeling of Arborescent Polyisobutylene Production in Batch Reactors","year":2013,"lang":"en","type":"article","venue":"Macromolecular Theory and Simulations","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Akron","keywords":"Production (economics); Process engineering; Pulp and paper industry; Biochemical engineering; Biological system; Chemistry; Materials science; Environmental science; Mathematics; Engineering; Biology","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":[0.0006377511,0.0007638584,0.0007756567,0.000554661,0.0005375832,0.001112166,0.001603413,0.001850146,0.002893893],"category_scores_gemma":[0.001185844,0.0006725804,0.0009200401,0.0004095663,0.0008372862,0.0009103327,0.0005382541,0.0008234131,0.0005766246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159371,"about_ca_system_score_gemma":0.001197812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451559,"about_ca_topic_score_gemma":0.005255822,"domain_scores_codex":[0.9998392,0.00003609795,0.000007757102,0.0000334754,0.00004187591,0.00004158563],"domain_scores_gemma":[0.9994941,0.0003092842,0.00005735824,0.00002122075,0.00008570586,0.0000324062],"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":[0.00001678941,0.00001787674,0.0001348213,0.00002095792,0.000004913506,0.00004191587,0.00001357706,0.9917114,0.001523886,0.005846793,0.00009623854,0.0005708425],"study_design_scores_gemma":[0.000003905451,0.000005173907,0.00002499423,0.000001376978,0.000001353001,0.000002520212,0.000002353662,0.9992519,0.0001977249,0.0004203492,0.00008658646,0.000001879022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461039,0.001195085,0.591769,0.0015415,0.0001790209,0.0003028786,0.0009651886,0.0005578837,0.05738549],"genre_scores_gemma":[0.9471332,0.0005693376,0.02488354,0.0001111797,0.00003224269,0.0004963542,0.0002253311,0.00007423491,0.02647454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01451559,"threshold_uncertainty_score":0.02886218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008100166813855367,"score_gpt":0.2276349078390975,"score_spread":0.2195347410252421,"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."}}