{"id":"W1963196292","doi":"10.1002/mren.201400038","title":"Mathematical Modeling of Polyether Production from 1,3‐Propanediol: Accounting for Linear Oligomers","year":2015,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"DuPont (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monomer; Dimer; Oligomer; Polymerization; Thermodynamics; Ether; Chemistry; Production (economics); Mass transfer; Polymer chemistry; Materials science; Biological system; Chemical engineering; Polymer; Organic chemistry; Chromatography; Physics","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":[0.0005900717,0.0009058072,0.0009080055,0.0005655139,0.0005908112,0.001148107,0.001661598,0.002030113,0.002522672],"category_scores_gemma":[0.001258321,0.0005954209,0.00129086,0.0006060627,0.000682458,0.001574981,0.000637897,0.001146141,0.0006018067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829985,"about_ca_system_score_gemma":0.001791635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239439,"about_ca_topic_score_gemma":0.004771788,"domain_scores_codex":[0.9998381,0.00003352348,0.00001148907,0.00003315283,0.00004870628,0.00003495731],"domain_scores_gemma":[0.9994536,0.0003296811,0.00006121825,0.00002290853,0.0001031753,0.00002940925],"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":[0.00001147958,0.0000179151,0.000124181,0.00003775784,0.000006393285,0.00004415395,0.00001853999,0.9908337,0.00179765,0.005911541,0.0001181709,0.001078521],"study_design_scores_gemma":[0.000004020775,0.000008089274,0.00003792511,0.000002661973,0.000003217574,0.00000671149,0.000003844451,0.9984317,0.0003992913,0.0007751808,0.0003239333,0.000003453557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1413989,0.001711551,0.8156601,0.001465624,0.0002475794,0.0002799317,0.000841642,0.0004336031,0.03796101],"genre_scores_gemma":[0.885894,0.002342975,0.06447056,0.0002643194,0.00009150583,0.00116635,0.0006086822,0.0002174989,0.04494423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239439,"threshold_uncertainty_score":0.02464449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276977567381038,"score_gpt":0.2322076987907795,"score_spread":0.1994379231169692,"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."}}