{"id":"W2018433474","doi":"10.1088/0957-4484/22/49/494018","title":"Nucleation and growth of elastin-like peptide fibril multilayers: an<i>in situ</i>atomic force microscopy study","year":2011,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fibril; Nucleation; Materials science; In situ; Elastin; Context (archaeology); Supramolecular chemistry; Atomic force microscopy; Crystallography; Highly oriented pyrolytic graphite; Self-assembly; Biophysics; Pyrolytic carbon; Nanotechnology; Chemistry; Crystal structure; Biology; Scanning tunneling microscope","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005621089,0.0002177934,0.000425541,0.0003100963,0.00006238843,0.00003079329,0.0004492915,0.0003236192,0.00008622528],"category_scores_gemma":[0.0001779204,0.0002203034,0.00003062066,0.0002422982,0.0002175273,0.0002720614,0.0002344181,0.0001198085,0.00006918719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005343696,"about_ca_system_score_gemma":0.00004096576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000503506,"about_ca_topic_score_gemma":0.0002435732,"domain_scores_codex":[0.9981844,0.000200169,0.0005083612,0.0005586718,0.0001672831,0.0003810802],"domain_scores_gemma":[0.9990181,0.00006230981,0.0002476383,0.000533437,0.0000898854,0.00004865027],"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":[0.0001555696,0.0002740831,0.01293508,0.000029933,0.000008225325,0.00002441526,0.001856821,0.00000169649,0.9841372,0.0003950213,0.00001107499,0.0001709129],"study_design_scores_gemma":[0.001101525,0.0007534749,0.01109657,0.00002710756,0.00002539755,0.00003106032,0.0006846829,0.00004824213,0.9845837,0.001433743,0.00001219717,0.0002023131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981943,0.00004798414,0.0005111786,0.00002490526,0.0003567026,0.0005717154,0.000008150309,0.0002193242,0.00006571205],"genre_scores_gemma":[0.9877238,0.00001279331,0.0121072,0.00004796379,0.00001496418,0.00004028938,0.000002755205,0.00003704094,0.00001318547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159602,"threshold_uncertainty_score":0.898371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628769769342573,"score_gpt":0.2582124661985517,"score_spread":0.241924768505126,"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."}}