{"id":"W4411102414","doi":"10.26434/chemrxiv-2025-pz7r7","title":"Mechanochemical and aging-based SN2 method to access CO2-responsive, high-amine-loading chitosan","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Centre in Green Chemistry and Catalysis; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Chitosan; Amine gas treating; SN2 reaction; Chemistry; Chemical engineering; Business; Combinatorial chemistry; Biochemistry; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042423,0.000626857,0.0001389616,0.0001731258,0.0001405554,0.0001341622,0.0002155154,0.0002533754,0.001414403],"category_scores_gemma":[0.0001035164,0.0001460527,0.0002408674,0.0001215832,0.0001953935,0.0002499586,0.0002195756,0.0004162684,0.0003898526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257633,"about_ca_system_score_gemma":0.0002335918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008049522,"about_ca_topic_score_gemma":0.002016603,"domain_scores_codex":[0.9998598,0.00001280128,0.00001212713,0.0000371237,0.00004897427,0.00002911153],"domain_scores_gemma":[0.9999242,0.00000983948,0.00002802654,0.000009527134,0.00001844516,0.000009960385],"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":[0.00001111652,0.000008252496,0.00004189397,0.00004125414,0.000003769245,0.00003167448,0.00001011188,0.00004495775,0.9979435,0.00009131331,0.00004544764,0.00172677],"study_design_scores_gemma":[0.000001913327,0.00004073744,0.0002909499,0.000001423537,0.000003353264,0.00008007892,0.00000380663,0.0004306787,0.9981946,0.00001002437,0.0009385548,0.000003953044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315432,0.002532738,0.05680048,0.0002255993,0.0001758944,0.0001381037,0.0002254862,0.0004856749,0.007872798],"genre_scores_gemma":[0.9794884,0.000852407,0.01323701,0.0001115242,0.00002147208,0.00007026318,0.0001808424,0.00004696087,0.005991181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414403,"threshold_uncertainty_score":0.004731596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205803206331713,"score_gpt":0.3183649142558779,"score_spread":0.2977845936227066,"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."}}