{"id":"W2946503658","doi":"10.3390/pr7050309","title":"Data-Driven Estimation of Significant Kinetic Parameters Applied to the Synthesis of Polyolefins","year":2019,"lang":"en","type":"article","venue":"Processes","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kinetic energy; Robustness (evolution); Sensitivity (control systems); Computer science; Thermodynamics; Polymerization; Materials science; Applied mathematics; Biological system; Mathematics; Chemistry; Polymer; Physics; Engineering; Classical mechanics; Composite material","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":[0.00113944,0.0008810888,0.0006658042,0.0004647508,0.0002108991,0.0005445316,0.0006168998,0.0005348659,0.0007041919],"category_scores_gemma":[0.003452516,0.00045216,0.000512897,0.0003408301,0.0003105839,0.0005973729,0.0004501686,0.0009657292,0.0001722633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005233824,"about_ca_system_score_gemma":0.0007956765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003301955,"about_ca_topic_score_gemma":0.002829646,"domain_scores_codex":[0.9997799,0.00006257398,0.00001487639,0.0000529142,0.00007028105,0.00001942877],"domain_scores_gemma":[0.9989084,0.0006350564,0.00009816637,0.0001342803,0.0001985578,0.00002561551],"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":[0.0002478207,0.0001082422,0.001167782,0.0002452388,0.00004746859,0.0000819491,0.00005597324,0.8931807,0.05874155,0.001680495,0.0001969689,0.04424578],"study_design_scores_gemma":[0.000006404945,0.00003850073,0.0001845761,0.000003402464,0.000004760309,0.0000117648,0.000004970013,0.9746052,0.02462194,0.000301454,0.0002087924,0.000008380745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1973919,0.0003221968,0.7992993,0.0001073101,0.00002477935,0.00008574769,0.0002674983,0.001597334,0.0009039444],"genre_scores_gemma":[0.8717151,0.0001293002,0.1271846,0.00002266487,0.000004770141,0.0001299124,0.0003331975,0.0001309634,0.0003494841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003301955,"threshold_uncertainty_score":0.006565452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451328267776819,"score_gpt":0.2128531785253774,"score_spread":0.1983398958476092,"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."}}