{"id":"W2917845228","doi":"10.1002/mren.201770007","title":"Macromol. React. Eng. 3/2017","year":2017,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Acrylonitrile; Polymer chemistry; Copolymer; Dispersity; Monomer; Polymerization; Nitroxide mediated radical polymerization; Methacrylate; Polymer science; Materials science; Degree of polymerization; Radical polymerization; Chemistry; Chemical engineering; Polymer; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000128925,0.0002356079,0.0002031722,0.0001234318,0.0002780896,0.0002309418,0.0003701437,0.000122713,0.00003297113],"category_scores_gemma":[0.00004368327,0.0002723037,0.0001071814,0.00007351958,0.00002585791,0.0002959737,0.00005493078,0.0001723342,0.0001850121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006106769,"about_ca_system_score_gemma":0.000007906102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004344793,"about_ca_topic_score_gemma":0.000005034452,"domain_scores_codex":[0.9990339,0.000006718727,0.0002317197,0.0002372079,0.0001506823,0.0003397409],"domain_scores_gemma":[0.9987831,0.00001274854,0.0000668894,0.0009792014,0.00003483726,0.0001232455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002240015,0.00001203887,0.00004554143,0.00004089049,0.00005157001,0.00004170605,0.00002729804,0.001682508,0.9944458,0.0008536243,0.0004827877,0.002313992],"study_design_scores_gemma":[0.0005665537,0.00002371664,0.01905006,0.00007301416,0.00006401983,0.0002124505,0.00001328294,0.02243174,0.8071417,0.0002271811,0.1494131,0.0007831033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566296,0.0002782969,0.02510994,0.0001030616,0.001489702,0.0002978373,0.00002322126,0.00136417,0.01470421],"genre_scores_gemma":[0.9979464,0.0001656966,0.001397747,0.00001299768,0.0001851155,0.00009361309,0.00002678074,0.00008417584,0.00008747423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873041,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008761373238579897,"score_gpt":0.2130489402335027,"score_spread":0.2042875669949228,"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."}}