{"id":"W2893314280","doi":"10.1002/pep2.24095","title":"Amyloid self‐assembling peptides: Potential applications in nanovaccine engineering and biosensing","year":2018,"lang":"en","type":"article","venue":"Peptide Science","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Biomolecule; Biocompatibility; Nanotechnology; Amyloid fibril; Biosensor; Amyloid (mycology); Peptide; Amyloid disease; Chemistry; Materials science; Biophysics; Biochemistry; Biology; Amyloid β","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":[0.0002106911,0.0002442757,0.0002172712,0.0002335628,0.0001168231,0.0003945198,0.000200408,0.000468341,0.0006704591],"category_scores_gemma":[0.0001641412,0.00008113807,0.0001430799,0.0002443166,0.0002392051,0.0004322114,0.0002201957,0.0003945008,0.0003070347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128443,"about_ca_system_score_gemma":0.0001080355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245182,"about_ca_topic_score_gemma":0.0001543936,"domain_scores_codex":[0.9999409,0.00001558912,0.000003705432,0.00001070707,0.00001830932,0.00001078418],"domain_scores_gemma":[0.9999162,0.00002600975,0.00001706024,0.000003516124,0.00001896296,0.00001827447],"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":[0.0001105738,0.0001332504,0.0006347502,0.001300598,0.0000207562,0.0004181275,0.0001387481,0.001975546,0.8768894,0.01444762,0.001824786,0.1021058],"study_design_scores_gemma":[0.00004411151,0.0009711699,0.002367722,0.0002748024,0.00005115322,0.001332753,0.0001846057,0.01194701,0.7377109,0.01477098,0.230289,0.0000557105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3537275,0.5462763,0.0723633,0.002331747,0.001060564,0.0001419611,0.0002368727,0.0002930652,0.02356866],"genre_scores_gemma":[0.839693,0.126982,0.02666075,0.0007721152,0.0003242744,0.0001025167,0.0001959787,0.00002926792,0.005240061],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0006704591,"threshold_uncertainty_score":0.002242923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780844947514773,"score_gpt":0.2466027526657782,"score_spread":0.2398219077182634,"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."}}