{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001073069,0.0004145437,0.0001246225,0.000243506,0.00008490386,0.0002542912,0.0001191991,0.0002212708,0.000567502],"category_scores_gemma":[0.00009983878,0.0001477023,0.0001682709,0.0001532684,0.0001085583,0.0002858211,0.0001659395,0.0002944166,0.0001621749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154991,"about_ca_system_score_gemma":0.00009814656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003245027,"about_ca_topic_score_gemma":0.001483111,"domain_scores_codex":[0.999935,0.000007878812,0.000004162832,0.00001639657,0.00002330838,0.00001310694],"domain_scores_gemma":[0.9999447,0.00001238874,0.00001717882,0.000003710347,0.00001179101,0.00001027558],"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":[0.00001206774,0.000004753023,0.00002733601,0.00002741789,0.000003045427,0.00001660598,0.000004809669,0.00005884234,0.9992054,0.00001951027,0.000008513866,0.000611739],"study_design_scores_gemma":[0.000002002005,0.00007078065,0.0007408391,0.000004936573,0.000009404732,0.00006248079,0.00001322749,0.0004315264,0.997777,0.00001245759,0.0008719974,0.000003211002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988366,0.001535336,0.007836283,0.0000449988,0.00002477831,0.00002871939,0.0001674754,0.00007747141,0.001918947],"genre_scores_gemma":[0.9871489,0.001125666,0.007745405,0.00005405931,0.000008601442,0.00003317171,0.0002516502,0.00003077811,0.003601733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000567502,"threshold_uncertainty_score":0.001898468,"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."}}