{"id":"W2551996920","doi":"10.1016/j.bmcl.2016.11.058","title":"Squarate-based carbocyclic nucleosides: Syntheses, computational analyses and anticancer/antiviral evaluation","year":2016,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry Letters","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Waterloo","keywords":"Chemistry; Hydroxymethyl; Synthon; Squaric acid; Nucleobase; Stereochemistry; Amino acid; Pyrophosphate; Guanidine; Chemical synthesis; Combinatorial chemistry; Organic chemistry; Biochemistry; Enzyme","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002634521,0.0003362308,0.0003282783,0.00003340428,0.0001850334,0.00004603809,0.0002884437,0.0001620367,0.002687215],"category_scores_gemma":[0.0004461797,0.0002649856,0.0001007517,0.0002159956,0.0005047545,0.00009696592,0.00005232637,0.0001968266,0.00003131286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596911,"about_ca_system_score_gemma":0.0001967171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003329646,"about_ca_topic_score_gemma":0.00000191976,"domain_scores_codex":[0.9977683,0.00002786516,0.0004495649,0.0006673063,0.0007026102,0.0003843459],"domain_scores_gemma":[0.9983974,0.0005759433,0.0002361337,0.0004660175,0.0001203525,0.0002042158],"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":[0.00004005121,0.00006652015,0.001785065,0.0001649036,0.00007295975,0.000009853842,0.00002985505,0.00001335392,0.9930465,0.000011145,0.0009255424,0.003834274],"study_design_scores_gemma":[0.001191184,0.000006346159,0.0007808115,0.0003785187,0.0002534892,0.00003475965,0.0001141547,0.001300449,0.9942636,0.0001193371,0.00118427,0.0003730641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867176,0.0002716128,0.001413891,0.008805735,0.00003496617,0.0001005853,0.0001073298,0.0001434935,0.002404744],"genre_scores_gemma":[0.9983316,0.00002892332,0.0002899495,0.0005592559,0.0004791928,0.00006090116,0.0001295778,0.00003803534,0.00008258018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161394,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04705410892654906,"score_gpt":0.3157979644180268,"score_spread":0.2687438554914777,"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."}}