{"id":"W4223419651","doi":"10.3390/nano12071223","title":"Supramolecular Nanostructures Based on Perylene Diimide Bioconjugates: From Self-Assembly to Applications","year":2022,"lang":"en","type":"review","venue":"Nanomaterials","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Regroupement Québécois sur les Matériaux de Pointe; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation","keywords":"Diimide; Perylene; Supramolecular chemistry; Nanotechnology; Materials science; Self-assembly; Nanostructure; Context (archaeology); Conjugated system; Molecule; Combinatorial chemistry; Chemistry; Polymer; 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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001862046,0.001993806,0.004582159,0.0007162242,0.0007590232,0.001542496,0.003457418,0.0009827056,0.01209277],"category_scores_gemma":[0.0005308949,0.00179888,0.0009773647,0.001020628,0.00009952728,0.0002164895,0.001060867,0.0003447546,0.005411142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009938994,"about_ca_system_score_gemma":0.001244014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231039,"about_ca_topic_score_gemma":0.000006141912,"domain_scores_codex":[0.9880688,0.003087446,0.002698431,0.003006568,0.001643234,0.001495558],"domain_scores_gemma":[0.9925367,0.001429611,0.001512828,0.003757102,0.0001547469,0.0006090188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001502388,0.0005730226,0.000001605526,0.006334874,0.0003120264,0.0002831789,0.0001603237,0.00008214702,0.9529436,0.0004997709,0.002149888,0.03650934],"study_design_scores_gemma":[0.00039942,0.0002867765,0.000002333965,0.001334438,0.0009293478,0.00003542819,0.00001775111,0.000003153891,0.2069674,0.0001337866,0.7883622,0.001527931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02375699,0.9331955,0.0006806912,0.000119258,0.01019177,0.01426285,0.01426698,0.002790734,0.0007352229],"genre_scores_gemma":[0.002042555,0.9346784,0.02618563,0.002337963,0.002561936,0.0241746,0.006636527,0.001288847,0.00009349837],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7862123,"threshold_uncertainty_score":0.999494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576208490397789,"score_gpt":0.3078554729593993,"score_spread":0.2820933880554214,"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."}}