{"id":"W2083698890","doi":"10.1088/0022-3727/41/21/215501","title":"Post-crystallization increases in the mechanical strength of self-assembled fibrillar networks is due to an increase in network supramolecular ordering","year":2008,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Crystallization; Supramolecular chemistry; Materials science; Network structure; Nanotechnology; Crystallography; Chemical engineering; Computer science; Chemistry; Crystal structure; Engineering; Distributed computing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00149584,0.0003923374,0.0009175088,0.0001014478,0.0001324157,0.0001192834,0.0008769273,0.0001591301,0.00001727815],"category_scores_gemma":[0.00008326621,0.000337454,0.0001713556,0.001206935,0.00003942103,0.0004419767,0.0002510812,0.0003267497,0.000007238802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400861,"about_ca_system_score_gemma":0.0002879557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044727,"about_ca_topic_score_gemma":0.00002814577,"domain_scores_codex":[0.9962738,0.0006325788,0.001190958,0.0003946988,0.0009241264,0.0005838346],"domain_scores_gemma":[0.997607,0.0003639089,0.0008704741,0.0006057323,0.0003662747,0.0001866278],"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":[0.0003138689,0.0008360583,0.0002860566,0.00004405579,0.00003861136,0.0001402562,0.001255789,0.1690651,0.820626,0.006987436,0.00005371494,0.0003529824],"study_design_scores_gemma":[0.002346901,0.0007854268,0.002991719,0.0002557109,0.0001629432,0.0001969292,0.0007361197,0.01229542,0.9637864,0.01562006,0.00004865351,0.0007737658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632142,0.00004703016,0.03594218,0.00002830125,0.000152097,0.0005079191,0.00001220572,0.00002963644,0.00006639265],"genre_scores_gemma":[0.9870415,0.0000496106,0.01141913,0.0004859758,0.000894846,0.0000231522,0.00001716801,0.00006837725,2.517921e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1567697,"threshold_uncertainty_score":0.9999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093116556544301,"score_gpt":0.2383166670151409,"score_spread":0.2273855014496979,"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."}}