{"id":"W2281245606","doi":"10.1016/j.carbpol.2016.02.066","title":"Chitosan nanoparticles conjugate with trypsin and trypsin inhibitor","year":2016,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Protein Interaction Studies and Fluorescence Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trypsin; Chitosan; Conjugate; Chemistry; Trypsin inhibitor; Nanoparticle; Nuclear chemistry; Enzyme; Biochemistry; Materials science; Nanotechnology","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":[0.0001773691,0.0005137775,0.0001833585,0.0003214194,0.0001990035,0.0002322083,0.0003508379,0.0004051217,0.001334144],"category_scores_gemma":[0.0002519666,0.0002299862,0.000242462,0.0003332187,0.0002528662,0.000229591,0.0001738311,0.0005003621,0.000266685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006145334,"about_ca_system_score_gemma":0.0003860634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735768,"about_ca_topic_score_gemma":0.003323813,"domain_scores_codex":[0.9997919,0.00001601411,0.00001293182,0.00005745385,0.00006438632,0.00005731277],"domain_scores_gemma":[0.9998538,0.00003979924,0.00003378359,0.00001409615,0.00003658434,0.00002191738],"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":[0.00007098375,0.00001138081,0.00006153447,0.00003119908,0.000005433145,0.00004014662,0.000008239338,0.00004108926,0.9989051,0.00007603269,0.00002507871,0.0007237037],"study_design_scores_gemma":[0.000006305616,0.00008302076,0.0005807165,0.000002215925,0.00001238261,0.00005172669,0.000006193068,0.0003564561,0.9983228,0.00001130604,0.0005639035,0.000002944032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878618,0.001074762,0.00638803,0.0001207208,0.00006211095,0.00006255435,0.0001145813,0.00007671274,0.004238798],"genre_scores_gemma":[0.9871746,0.0006184099,0.00595928,0.0001044897,0.00001945666,0.0000538705,0.0002254425,0.0000293509,0.005815196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735768,"threshold_uncertainty_score":0.005439758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006407888340641747,"score_gpt":0.2199401447474015,"score_spread":0.2135322564067597,"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."}}