{"id":"W2887176221","doi":"10.11159/icnfa18.121","title":"Swelling Properties of Chitosan/CMC/PEGDA based Semi-IPN Hydrogel","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swelling; Chitosan; Self-healing hydrogels; Materials science; Chemical engineering; Polymer chemistry; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001376467,0.0002765903,0.00031505,0.0002027218,0.0001647627,0.00003141629,0.001457208,0.0002149841,0.000006008268],"category_scores_gemma":[0.0005215297,0.0001908118,0.0001585084,0.000486394,0.001117982,0.00001311912,0.0004705855,0.0002054006,0.000005684213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001465678,"about_ca_system_score_gemma":0.00009904442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003654728,"about_ca_topic_score_gemma":0.00003047607,"domain_scores_codex":[0.9984913,0.000006924,0.0004267523,0.0004759686,0.0002726829,0.000326321],"domain_scores_gemma":[0.998762,0.00001534425,0.0004360908,0.0005935662,0.0001535453,0.00003945063],"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":[0.0001239825,0.00007925838,0.001673723,0.00008159796,0.00006812585,6.325594e-8,0.00002978971,0.00001563284,0.9898337,0.0006653708,0.001383915,0.006044873],"study_design_scores_gemma":[0.0002651189,0.0001881688,0.00005198457,0.0003841039,0.00003909114,0.00000261129,0.0002251543,0.0003192622,0.9874595,0.0005566882,0.01028299,0.0002253272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912167,0.0009185144,0.00002463323,0.002960218,0.0001476954,0.0005255496,0.000008941147,0.0002242684,0.003973458],"genre_scores_gemma":[0.9969721,0.00009808374,0.001390158,0.0001158007,0.00009729103,0.0001094309,0.000001517962,0.00004234399,0.001173263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008899076,"threshold_uncertainty_score":0.7781079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888986180945435,"score_gpt":0.2324562212917584,"score_spread":0.213566359482304,"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."}}