{"id":"W3005824743","doi":"10.3390/molecules25040857","title":"Telodendrimer-Based Macromolecular Drug Design using 1,3-Dipolar Cycloaddition for Applications in Biology","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Iran National Science Foundation; Centre québécois sur les matériaux fonctionnels; National Science Foundation","keywords":"Isoxazole; Cycloaddition; Macromolecule; 1,3-Dipolar cycloaddition; Dendrimer; Amphiphile; Nitrile; Polyethylene glycol; Combinatorial chemistry; Chemistry; Polymer; Organic chemistry; Biochemistry; Copolymer; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001399374,0.0001568492,0.0002088109,0.00008145322,0.0001207637,0.00004476443,0.0002294468,0.00007422251,0.0001354103],"category_scores_gemma":[0.00003735806,0.0001582086,0.00007829568,0.0002117246,0.00009408457,0.00006459087,0.00003025462,0.00006900007,0.00004612224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514078,"about_ca_system_score_gemma":0.00008436088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009677501,"about_ca_topic_score_gemma":0.00001047635,"domain_scores_codex":[0.9988692,0.0001107147,0.0002282913,0.0003911083,0.00009395619,0.0003067706],"domain_scores_gemma":[0.9995179,0.00008515561,0.00008273609,0.0001772146,0.00003449546,0.0001024963],"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":[0.00003396238,0.00004026085,0.0000875337,0.00002343365,0.000005262762,0.000004472731,0.0001445296,0.002234848,0.9959643,0.0007798134,0.0002266414,0.000454932],"study_design_scores_gemma":[0.0005101264,0.00005449566,0.00004900656,0.0000135637,0.00003040995,0.000001413884,0.0000501235,0.01484984,0.9781815,0.0005406001,0.005507324,0.000211618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.184186,0.001034242,0.8130686,0.0005389525,0.00008539319,0.0006682958,0.0001872224,0.00008185227,0.0001494021],"genre_scores_gemma":[0.9285752,0.000004343267,0.07005744,0.0009252184,0.00007899234,0.0001949367,0.0001191073,0.00003501868,0.000009795301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7443892,"threshold_uncertainty_score":0.6451559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629381653848086,"score_gpt":0.2916604232227213,"score_spread":0.2553666066842404,"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."}}