{"id":"W3020047497","doi":"10.1002/jcc.26214","title":"Erratum: “Martini <scp>Coarse‐Grained</scp> Model for Polyethylenimine” [J. Comput. Chem. 2019, 40, 607–618, <scp>DOI</scp>:10.1002/jcc.25747]","year":2020,"lang":"en","type":"erratum","venue":"Journal of Computational Chemistry","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Polyethylenimine; Chemistry; Biochemistry; Gene","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":[0.001923893,0.001930466,0.001521998,0.001549391,0.002149385,0.002630121,0.003963554,0.0041343,0.1058874],"category_scores_gemma":[0.01841239,0.001270742,0.001479347,0.001827189,0.001277904,0.003116421,0.001986542,0.00540344,0.04771955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032704,"about_ca_system_score_gemma":0.004178348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000277,"about_ca_topic_score_gemma":0.02418863,"domain_scores_codex":[0.9982942,0.0002364223,0.0001707099,0.0002433887,0.0009215024,0.0001338696],"domain_scores_gemma":[0.9945015,0.001548833,0.0002346967,0.0005514239,0.002791997,0.0003715724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006795506,0.00001201911,0.00009997506,0.0001359771,0.00001480298,0.0001504383,0.00001916276,0.002725445,0.0002339481,0.005415283,0.9833945,0.007730456],"study_design_scores_gemma":[0.0001076,0.00002797913,0.0003679845,0.0002457623,0.00004121217,0.0003034255,0.00004945979,0.0202842,0.0026044,0.01092736,0.9649317,0.0001088855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003835348,0.003618397,0.07869219,0.0788257,0.7349886,0.0001784957,0.03565793,0.007824389,0.05637898],"genre_scores_gemma":[0.06703734,0.006472105,0.1354637,0.04307478,0.02265503,0.0007434633,0.05385073,0.02689245,0.6438103],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1058874,"threshold_uncertainty_score":0.3542288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720920205163602,"score_gpt":0.2598530945701357,"score_spread":0.2426438925184997,"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."}}