{"id":"W4399351492","doi":"10.1016/j.supflu.2024.106323","title":"Corrigendum to “Softwood impregnation by MMA monomer using supercritical CO2” [J. Supercrit. Fluids, 189 (2022), 105712–105723]","year":2024,"lang":"en","type":"erratum","venue":"The Journal of Supercritical Fluids","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Softwood; Supercritical fluid; Monomer; Polymer science; Materials science; Composite material; Chemistry; Organic chemistry; Polymer","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003012989,0.00118101,0.001844274,0.000695808,0.0006663965,0.0009849673,0.00264866,0.001197781,0.002150262],"category_scores_gemma":[0.001101845,0.0008881296,0.0007691152,0.0008462771,0.0008871251,0.0009740273,0.0007791806,0.003744174,0.001092182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007577112,"about_ca_system_score_gemma":0.00119536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005144053,"about_ca_topic_score_gemma":0.00002645189,"domain_scores_codex":[0.9909709,0.001006886,0.002381634,0.000968183,0.002776514,0.001895847],"domain_scores_gemma":[0.9955671,0.0007360705,0.00002794333,0.00114856,0.00125023,0.001270118],"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":[0.0001006787,0.0001954159,0.000008941383,0.0002023279,0.00009081234,0.000139667,0.0004428912,0.000001531389,0.5378422,0.001005578,0.4597826,0.0001873748],"study_design_scores_gemma":[0.001455019,0.00317922,0.00007859006,0.005429801,0.004304504,0.006402172,0.002379266,0.002431364,0.5968729,0.002655438,0.3714225,0.003389187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6401835,0.1531251,0.0137367,0.01438447,0.1685379,0.00126301,0.002540441,0.0005364831,0.005692361],"genre_scores_gemma":[0.8258972,0.0113118,0.006041151,0.01288174,0.03893466,0.0001452998,0.0007452181,0.001960467,0.1020825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857137,"threshold_uncertainty_score":0.9996856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120920990801693,"score_gpt":0.2739484516858214,"score_spread":0.2527392417778045,"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."}}