{"id":"W4207035967","doi":"10.1002/app.48117","title":"Editorial Board, Aims & Scope, Table of Contents","year":2020,"lang":"en","type":"paratext","venue":"Journal of Applied Polymer Science","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Guelph","funders":"","keywords":"Scope (computer science); Table of contents; Table (database); Editorial board; Citation; Computer science; Library science; Information retrieval; World Wide Web; Database; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003021703,0.0002589651,0.0005415195,0.00005671771,0.00008774202,0.00006090499,0.001438967,0.0002041254,0.003430943],"category_scores_gemma":[0.00003504105,0.0002229587,0.0001338234,0.0007804866,0.0007509367,0.0002373224,0.0004301006,0.0007066819,0.0008443769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857394,"about_ca_system_score_gemma":0.0001944258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000410611,"about_ca_topic_score_gemma":6.118084e-7,"domain_scores_codex":[0.9970138,0.000005197714,0.0006639916,0.0003506267,0.00156917,0.000397197],"domain_scores_gemma":[0.9984907,0.00004485243,0.0007233199,0.0002831636,0.00005255393,0.0004054005],"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":[0.00005100698,0.00002620141,0.00000245758,0.00002646848,0.000010025,9.106012e-7,0.00004958206,0.0003206129,0.5642688,0.000004052917,0.4349774,0.0002624803],"study_design_scores_gemma":[0.0002899677,0.0000259911,0.000002294755,0.00006289584,0.00002158744,0.000006709928,0.00001516261,0.00001684314,0.6440417,0.00001007057,0.3553406,0.0001661771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05100855,0.003848918,0.0007639193,0.0003565848,0.1325223,0.0003640538,0.0001313086,0.00002950131,0.8109748],"genre_scores_gemma":[0.8439071,0.001161255,0.003142667,0.0006429314,0.1029282,0.00001929573,0.00003332137,0.0001393307,0.04802597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7928985,"threshold_uncertainty_score":0.9999336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007560711027332612,"score_gpt":0.2194348147004596,"score_spread":0.211874103673127,"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."}}