{"id":"W3209498824","doi":"10.3390/jmse9111173","title":"Applications of Chitin in Medical, Environmental, and Agricultural Industries","year":2021,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Chitin; Biopolymer; Agriculture; Nanotechnology; Biochemical engineering; Biotechnology; Business; Ecology; Chemistry; Biology; Engineering; Chitosan; Polymer; Materials science; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005383532,0.00004997486,0.0001192531,0.0001137732,0.00003840329,0.0000393364,0.0001238932,0.00002264983,0.00005361631],"category_scores_gemma":[0.0001023662,0.00003923719,0.00001010193,0.0002958156,0.000140213,0.0002787503,0.0002152932,0.0001098341,5.689664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002387135,"about_ca_system_score_gemma":0.00007756914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000582849,"about_ca_topic_score_gemma":0.000001947179,"domain_scores_codex":[0.9992228,0.000006112658,0.0002222569,0.00008470002,0.0003496787,0.0001145007],"domain_scores_gemma":[0.999703,0.00003412473,0.00007792952,0.00005199117,0.00003897897,0.00009393624],"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":[0.000001464886,0.00001713647,0.005851493,0.00001588878,0.000001429009,0.00001076744,0.0001114523,0.00008086363,0.9862353,0.00008745062,0.000007117676,0.007579588],"study_design_scores_gemma":[0.0003874006,0.00006128086,0.2392776,0.0001178489,0.000009302249,0.0009333015,0.0006323251,0.0003013735,0.7568972,0.00005599343,0.001213186,0.000113177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992619,0.0001949193,0.00007563033,0.000215028,0.00005337639,0.00002769793,0.000001219742,0.000002820916,0.000167456],"genre_scores_gemma":[0.9967029,0.0001218029,0.003115039,0.00001333144,0.00003323323,0.000001143913,3.791144e-7,0.000002133136,0.00001002597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2334261,"threshold_uncertainty_score":0.1600046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00421251467398468,"score_gpt":0.2007248936580171,"score_spread":0.1965123789840324,"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."}}