{"id":"W3089149485","doi":"10.1021/acs.bioconjchem.0c00453","title":"<i>In Vivo</i> Targeting Using Arylboronate/Nopoldiol Click Conjugation","year":2020,"lang":"ca","type":"article","venue":"Bioconjugate Chemistry","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; National Center for Advancing Translational Sciences; National Cancer Institute; University of Alberta; Alberta Innovates; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; North Carolina State University; University of North Carolina","keywords":"Chemistry; Click chemistry; In vivo; Stereochemistry; Combinatorial chemistry; Biotechnology","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":[0.0002859458,0.001017561,0.0009512287,0.00003077211,0.0003734857,0.0002291931,0.0009909201,0.001115841,0.01207632],"category_scores_gemma":[0.000383018,0.001279748,0.0004273136,0.0007650852,0.0004339611,0.0003821895,0.0004357119,0.001310837,0.0002863175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005376135,"about_ca_system_score_gemma":0.000449472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528538,"about_ca_topic_score_gemma":0.00000187273,"domain_scores_codex":[0.9946056,0.00004722842,0.001695949,0.001843424,0.0005649549,0.001242826],"domain_scores_gemma":[0.9969758,0.0001928703,0.000816659,0.0009332123,0.0002046639,0.0008767549],"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":[0.0001435754,0.0002615845,0.0007005737,0.002580945,0.0001039354,0.0001074208,0.0005193506,0.0002800423,0.9836051,0.00007039838,0.01151206,0.0001150142],"study_design_scores_gemma":[0.001847222,0.00001372491,0.000004746127,0.0003550062,0.0001388619,0.0000416784,0.001174637,0.006855664,0.8753251,0.0001539211,0.1129211,0.0011684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553775,0.002424732,0.0001031292,0.005846752,0.0001878124,0.000504652,0.001198902,0.0002885114,0.034068],"genre_scores_gemma":[0.9896629,0.0005281703,0.0005121172,0.001893092,0.003337219,0.0001023366,0.0005020133,0.0001797952,0.003282287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10828,"threshold_uncertainty_score":0.9989652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945301906610041,"score_gpt":0.2707691134823917,"score_spread":0.2413160944162913,"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."}}