{"id":"W4396559119","doi":"10.1007/s00217-024-04559-z","title":"Effect of shear and legume protein-type on the mechanical and water vapour barrier properties of composite based edible films","year":2024,"lang":"en","type":"article","venue":"European Food Research and Technology","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Legume; Ultimate tensile strength; Soy protein; Emulsion; Materials science; Composite number; Food science; Composite material; Swelling; Moisture; Elongation; Vicia faba; Horticulture; Agronomy; Chemistry; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.002285712,0.0001390439,0.0002280414,0.0003673364,0.0001746906,0.00009210489,0.0002656728,0.00007146464,0.0000421998],"category_scores_gemma":[0.0001615415,0.00007052685,0.00002105645,0.0003161684,0.0009163957,0.00006501489,0.0005131597,0.0003965032,0.00003458498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007298197,"about_ca_system_score_gemma":0.00002448486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009525635,"about_ca_topic_score_gemma":0.00000103279,"domain_scores_codex":[0.9981887,0.0005950125,0.0002026614,0.0003601958,0.0002839018,0.000369557],"domain_scores_gemma":[0.9993138,0.0001768624,0.00002414817,0.0003155398,0.0001001426,0.00006946146],"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":[0.0003351019,0.00002457173,0.00004603013,0.0004384948,0.0000219191,0.00002586741,0.00009514394,7.052083e-7,0.9960945,0.002081921,0.00007683189,0.0007588727],"study_design_scores_gemma":[0.0003096295,0.00873989,0.00001393657,0.0004339873,0.000009716311,0.00002857629,0.00003599176,0.0002598174,0.9893292,0.0002947365,0.0004656746,0.00007882954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962227,0.001226425,0.00001081254,0.001346165,0.00005780843,0.0006281519,0.00001282841,0.00009486926,0.0004002493],"genre_scores_gemma":[0.9995804,0.00001742843,0.0002205728,0.00001070046,0.00001842867,0.00001728907,0.000001443137,0.00002874394,0.0001049373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008715318,"threshold_uncertainty_score":0.3376498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806811442669626,"score_gpt":0.2732346979268706,"score_spread":0.2451665835001743,"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."}}