{"id":"W4399555228","doi":"10.1021/acsomega.4c02321","title":"Sustainable Collagen Film Preparation with Tannins Extracted from Moroccan Pomegranate Byproduct Varieties: Thermal, Structural, and Nanoscaled Studies","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Sidi Mohamed Ben Abdellah; Agence Universitaire de la Francophonie; Universitatea 'Dunărea de Jos' Galați","keywords":"Thermogravimetric analysis; Hydroxylysine; Fourier transform infrared spectroscopy; Biomaterial; Materials science; Scanning electron microscope; Transmission electron microscopy; Polymerization; Thermal analysis; Cross-link; Chemistry; Chemical engineering; Polymer; Composite material; Lysine; Organic chemistry; Amino acid; Nanotechnology; Biochemistry; Thermal","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002083946,0.0002419877,0.000263353,0.000120779,0.0003867258,0.0006549241,0.000135685,0.00009045519,0.0002459706],"category_scores_gemma":[0.00009526069,0.0001844538,0.00002745267,0.0004739545,0.0001478531,0.001123065,0.00007319035,0.00008160002,0.00003649781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178246,"about_ca_system_score_gemma":0.0001491913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247467,"about_ca_topic_score_gemma":0.00009443919,"domain_scores_codex":[0.9984214,0.00009642889,0.0002913776,0.0005739518,0.000302054,0.0003147948],"domain_scores_gemma":[0.9991065,0.0001153963,0.0001184067,0.0002994577,0.0002769758,0.0000832312],"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":[0.0003110893,0.00002656956,0.000296007,0.0001465782,0.0001010933,0.00008244553,0.007564095,0.0001892741,0.9874755,0.0006744224,0.002791685,0.0003413132],"study_design_scores_gemma":[0.002588977,0.001118085,0.07643858,0.0003694782,0.0006113918,0.0001463843,0.03043369,0.005562587,0.7870799,0.003291703,0.09040279,0.00195639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950295,0.00241399,0.00009321369,0.0006626598,0.000515893,0.0005048433,0.0000818776,0.0003083347,0.0003896604],"genre_scores_gemma":[0.9887192,0.000239239,0.0002204628,0.0001072872,0.0001989735,0.00007185614,0.0001103548,0.00003361005,0.01029905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2003955,"threshold_uncertainty_score":0.7521808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246614256012446,"score_gpt":0.2721330772593325,"score_spread":0.259666934699208,"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."}}