{"id":"W2791618238","doi":"10.1002/pep2.24053","title":"Covalently crosslinked mussel byssus protein‐based materials with tunable properties","year":2018,"lang":"en","type":"article","venue":"Peptide Science","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Centre québécois sur les matériaux fonctionnels","keywords":"Byssus; Glutaraldehyde; Carbodiimide; Materials science; Covalent bond; Chemical engineering; Composite material; Polymer chemistry; Chemistry; Mussel; 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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001417505,0.000271495,0.0002762903,0.000135977,0.001232517,0.0007809874,0.001049047,0.00006241903,0.001543171],"category_scores_gemma":[0.0001713611,0.0001816007,0.00003162927,0.0008196966,0.003787908,0.0006676575,0.0001652212,0.00004726554,0.001456034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009614127,"about_ca_system_score_gemma":0.0007056656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004674458,"about_ca_topic_score_gemma":0.00005083588,"domain_scores_codex":[0.997043,0.00006605402,0.0004087332,0.0008688953,0.0007923488,0.0008210258],"domain_scores_gemma":[0.9981258,0.00002865303,0.0002354516,0.0008160622,0.0005790963,0.0002149711],"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":[0.000130531,0.00008129983,0.00009635882,0.00004572736,0.000001636066,0.000002705062,0.0001410592,0.00001388551,0.9986598,0.0005618956,0.0002186885,0.00004638065],"study_design_scores_gemma":[0.0004742116,0.0003160753,0.001440993,0.0001321989,0.00001084032,0.00001213268,0.00008890825,0.0001388535,0.995052,0.00015009,0.001854626,0.0003290392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960333,0.00001679489,0.0006010968,0.0005780013,0.0003419306,0.0009739565,0.00006744765,0.0002974787,0.001090024],"genre_scores_gemma":[0.9880473,6.767623e-7,0.009912072,0.00043396,0.0002866729,0.0004183026,0.000006380525,0.00002792578,0.0008667167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009310975,"threshold_uncertainty_score":0.9993696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620287468729673,"score_gpt":0.2585123860083875,"score_spread":0.2323095113210908,"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."}}