{"id":"W4248114822","doi":"10.26434/chemrxiv.7312070","title":"Synthesis of High Molecular Weight Chitosan from Chitin by Mechanochemistry and Aging","year":2018,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chitin; Chitosan; Depolymerization; Magic angle spinning; Chemistry; Chemical engineering; Solvent; Acetylation; Polymer chemistry; Organic chemistry; Materials science; Biochemistry; Nuclear magnetic resonance spectroscopy; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001588866,0.0004979451,0.0002063388,0.0003424301,0.0001679816,0.0002345132,0.0002218128,0.0002993936,0.001521978],"category_scores_gemma":[0.0001789693,0.0001785922,0.0002819706,0.0003008781,0.0002062142,0.0003110956,0.0002759439,0.0006221691,0.0004497635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276443,"about_ca_system_score_gemma":0.0002683951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008327009,"about_ca_topic_score_gemma":0.001788005,"domain_scores_codex":[0.9998643,0.000008426557,0.00001315939,0.00003323253,0.00005388937,0.00002702898],"domain_scores_gemma":[0.999885,0.00001575207,0.00003523865,0.00001762994,0.00002635261,0.00001998321],"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":[0.000005506121,0.000003356391,0.00002599116,0.00003519529,0.000002073446,0.00003160837,0.000006662826,0.00003291186,0.9980721,0.00007615528,0.00002468967,0.00168375],"study_design_scores_gemma":[0.000003457429,0.00004856833,0.0007016055,0.000003767268,0.000004093034,0.0001208503,0.000004583984,0.0003240501,0.9966888,0.00002900374,0.002066476,0.000004828722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8294644,0.008191892,0.146966,0.0004462451,0.0003821242,0.0003827699,0.000589929,0.0009662298,0.01261021],"genre_scores_gemma":[0.9176083,0.003794659,0.06886214,0.0002334798,0.00006494361,0.0001268324,0.0004595102,0.0001522046,0.008697941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001521978,"threshold_uncertainty_score":0.005091488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00503844087535225,"score_gpt":0.1860831556162458,"score_spread":0.1810447147408935,"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."}}