{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005062803,0.001085653,0.001361596,0.0001796689,0.0002463878,0.0002331821,0.001544706,0.001644848,0.00005357021],"category_scores_gemma":[0.001234708,0.001114231,0.001431492,0.0002667371,0.0002557789,0.00004309523,0.0004324848,0.001823229,0.00006218287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416051,"about_ca_system_score_gemma":0.002503015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003801679,"about_ca_topic_score_gemma":0.000001962501,"domain_scores_codex":[0.9948947,0.0000836876,0.001909668,0.001064503,0.001156747,0.0008906756],"domain_scores_gemma":[0.9937067,0.0003958063,0.002345031,0.0005747773,0.002299788,0.0006779192],"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":[0.0001246176,0.0002350334,0.00001109854,0.0004732692,0.000804961,0.00005205618,0.0001671761,0.03733467,0.05710481,0.000006306184,0.9032885,0.000397446],"study_design_scores_gemma":[0.002894078,0.00102671,0.00006423455,0.0005242347,0.0005283371,0.0005688214,0.0002928615,0.07215554,0.06557398,0.004128577,0.8517256,0.000517003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.45225,0.08421931,0.229182,0.007959801,0.04889677,0.004070286,0.008141356,0.0004876199,0.1647928],"genre_scores_gemma":[0.07425732,0.00258164,0.02133374,0.00433427,0.03199181,0.0001045526,0.01914026,0.0006497723,0.8456066],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6808138,"threshold_uncertainty_score":0.9996513,"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."}}