{"id":"W2916230379","doi":"10.1021/acsomega.8b03501","title":"Hybrid Bionanocomposites from Spent Hen Proteins","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Canadian Poultry Research Council","keywords":"Plasticizer; Materials science; Exfoliation joint; Composite material; Compression molding; Biopolymer; Nanocomposite; Chitosan; Polymer; Intercalation (chemistry); Montmorillonite; Chemical engineering; Molding (decorative); Chemistry; Nanotechnology; Mold; Graphene; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001536678,0.0002232547,0.0002804604,0.00009945179,0.0001058791,0.0001863992,0.0005878077,0.00005191391,0.003041312],"category_scores_gemma":[0.00001904645,0.0002016249,0.00008358586,0.0001371448,0.00005396645,0.0003965567,0.0002840917,0.0001240773,0.01698512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007049929,"about_ca_system_score_gemma":0.00004382053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004180881,"about_ca_topic_score_gemma":0.00000717887,"domain_scores_codex":[0.9983035,0.0000577866,0.0002896392,0.000523005,0.0003867132,0.000439294],"domain_scores_gemma":[0.9989046,0.0001248843,0.0001338628,0.0006621694,0.00005255935,0.0001218564],"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":[0.00003120851,0.00006396261,0.004143892,0.0000133301,0.00001370155,0.00001509119,0.0001149193,0.00001314695,0.9910451,0.000266888,0.003983065,0.0002956765],"study_design_scores_gemma":[0.0004544992,0.000105389,0.003950277,0.00007718009,0.00001332232,0.00001391718,0.00002147292,0.00003220961,0.9588095,0.001001627,0.03522984,0.0002907716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936132,0.0001933677,0.0000596008,0.0003044985,0.0006875269,0.0007361796,0.0004877936,0.0002269401,0.003690864],"genre_scores_gemma":[0.9912641,0.000003197334,0.006516594,0.0002853929,0.0001811946,0.00004849353,0.0002344766,0.00003968081,0.00142688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03223562,"threshold_uncertainty_score":0.99787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00905510047524222,"score_gpt":0.2225553959050093,"score_spread":0.213500295429767,"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."}}