{"id":"W2011375874","doi":"10.1002/1097-4636(200009)53:5<592::aid-jbm20>3.0.co;2-p","title":"Study of biodegradation behavior of chitosan-xanthan microspheres in simulated physiological media","year":2000,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Chitosan; Biodegradation; Glucosamine; Chromatography; High-performance liquid chromatography; Degradation (telecommunications); Kinetics; Xanthan gum; Scanning electron microscope; Polymer; Materials science; Nuclear chemistry; Chemistry; Biochemistry; Organic chemistry; Rheology; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002706145,0.0001587584,0.0007814293,0.0005136254,0.00006267084,0.00005449158,0.0007524847,0.0001782425,0.003302669],"category_scores_gemma":[0.0003852876,0.0001117857,0.00007562072,0.0008758467,0.0005015735,0.0002037386,0.0001520958,0.0003087077,0.00002153808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630125,"about_ca_system_score_gemma":0.0001359366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000421961,"about_ca_topic_score_gemma":0.00001168154,"domain_scores_codex":[0.9948653,0.001127271,0.001657083,0.0002502693,0.001638556,0.0004615167],"domain_scores_gemma":[0.9984707,0.0003835291,0.0004710393,0.0002742113,0.000214428,0.0001860883],"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":[0.0008664394,0.002792417,0.001572642,0.00005803322,0.0000167981,0.0001252214,0.001030755,0.00001886562,0.9919651,0.000003262777,0.0000560762,0.001494416],"study_design_scores_gemma":[0.0018605,0.002451219,0.04852763,0.0002089987,0.00001931984,0.00003235312,0.0006770476,0.000007250473,0.9460459,0.00005867573,0.00001666377,0.00009444319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998951,0.00009115945,0.000001668542,0.00006939781,0.0003582054,0.0004305001,0.00006825844,0.000008853644,0.00002098492],"genre_scores_gemma":[0.9992967,0.00005479598,0.0004385123,0.000004423994,0.0001656273,0.000006062456,0.00001244674,0.00001617074,0.000005229492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695499,"threshold_uncertainty_score":0.9976084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399873979302318,"score_gpt":0.384706625592295,"score_spread":0.3107078857992718,"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."}}