{"id":"W2897444977","doi":"10.1088/1748-605x/aae745","title":"Functionalization of silk fibroin through anionic fibroin derived polypeptides","year":2018,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Ministère de l'Éducation, du Loisir et du Sport Québec","keywords":"Fibroin; Simulated body fluid; Alkaline phosphatase; Biomineralization; Mineralization (soil science); Apatite; Osteocalcin; Extracellular matrix; Chemistry; Tissue engineering; Biophysics; Mesenchymal stem cell; Matrix (chemical analysis); Materials science; Chemical engineering; SILK; Biomedical engineering; Biochemistry; Cell biology; Mineralogy; Enzyme; Chromatography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560742,0.0004265106,0.00009723699,0.0001287254,0.00007800801,0.0001363937,0.00008133041,0.000256352,0.0003637135],"category_scores_gemma":[0.0001381022,0.00008750316,0.0001955941,0.00008663123,0.0001043461,0.0001881107,0.0001059845,0.0001611123,0.0001123571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009902554,"about_ca_system_score_gemma":0.00007913366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002308851,"about_ca_topic_score_gemma":0.0002946988,"domain_scores_codex":[0.9999286,0.00001478387,0.000007223176,0.00001507652,0.0000184337,0.00001584034],"domain_scores_gemma":[0.999915,0.00002015253,0.00003556375,0.000004912763,0.00001164336,0.00001276515],"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":[0.00001750887,0.000004937378,0.00004774501,0.00001691245,0.000001359776,0.00001787198,0.000005279317,0.00004082835,0.999441,0.00001701743,0.000002460835,0.0003870654],"study_design_scores_gemma":[0.000003531952,0.0001540026,0.001518533,0.00000256965,0.000008203627,0.00007665236,0.000009241777,0.0003895428,0.9972112,0.00001293242,0.0006108964,0.000002724358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957983,0.0005977282,0.002971676,0.00002391771,0.00001157527,0.00001614068,0.00004820529,0.00001811293,0.000514333],"genre_scores_gemma":[0.9953844,0.0006678476,0.003074042,0.00002271305,0.000006916719,0.00001612453,0.00007598555,0.000007468529,0.0007445111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004265106,"threshold_uncertainty_score":0.00121671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157689181211797,"score_gpt":0.2756356243735578,"score_spread":0.2540587325614398,"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."}}