{"id":"W4291377671","doi":"10.1016/j.supflu.2022.105712","title":"Softwood impregnation by MMA monomer using supercritical CO2","year":2022,"lang":"en","type":"article","venue":"The Journal of Supercritical Fluids","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supercritical fluid; Softwood; Monomer; Supercritical carbon dioxide; Chemical engineering; Materials science; Pulp and paper industry; Chemistry; Polymer chemistry; Organic chemistry; Composite material; Polymer; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001557406,0.0001618031,0.0003041291,0.00007844569,0.0006216405,0.0001077171,0.0006463825,0.00005646983,0.002653654],"category_scores_gemma":[0.0001427738,0.0001091759,0.0001347104,0.0001675432,0.0003187187,0.000482815,0.0002642917,0.0004802103,0.00003041255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476699,"about_ca_system_score_gemma":0.0001185495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222693,"about_ca_topic_score_gemma":7.936414e-7,"domain_scores_codex":[0.997428,0.000572317,0.0006027046,0.0001407718,0.0008108426,0.0004453928],"domain_scores_gemma":[0.9990076,0.0003817312,0.000009128281,0.000210945,0.0002025391,0.0001880748],"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":[0.0001457284,0.0001518209,0.0001330118,0.00001264549,0.00001386325,0.00001659546,0.0004151928,0.00004470515,0.9955811,0.001190301,0.002122463,0.0001725531],"study_design_scores_gemma":[0.0007581188,0.0009168116,0.0001103521,0.00004170287,0.0001959075,0.001749992,0.001519816,0.001705517,0.9872118,0.001030919,0.004470614,0.0002884771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894317,0.004430722,0.002168425,0.002964349,0.0006236719,0.00009693513,0.00006928937,0.00002153815,0.0001933407],"genre_scores_gemma":[0.9980765,0.00006996458,0.0005388683,0.0009858465,0.0002456404,0.000004371569,0.000002748754,0.00002573023,0.00005030495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008644797,"threshold_uncertainty_score":0.9982581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903735383141193,"score_gpt":0.2466041600531245,"score_spread":0.2275668062217125,"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."}}