{"id":"W3041672851","doi":"10.1039/d0ob01222j","title":"A novel clickable MSAP agent for dual fluorescence/nuclear labeling of biovectors","year":2020,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"Erasmus Medisch Centrum","keywords":"Chemistry; Fluorescence; Imaging agent; Combinatorial chemistry; Click chemistry; Modality (human–computer interaction); Biomolecule; Computer science; Artificial intelligence; Biochemistry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008187404,0.0003072467,0.0003451825,0.00001082155,0.0001422322,0.00004455787,0.0005189067,0.0002824201,0.002134306],"category_scores_gemma":[0.0002781301,0.0003465035,0.0002592177,0.0003502386,0.0001383609,0.00004327638,0.0002100407,0.0002297298,0.00003370522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006901329,"about_ca_system_score_gemma":0.0001197413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009018092,"about_ca_topic_score_gemma":3.198878e-7,"domain_scores_codex":[0.9981599,0.000003510468,0.0004981553,0.0006409584,0.0002899712,0.0004074768],"domain_scores_gemma":[0.9987486,0.00005217176,0.0002479399,0.0005725682,0.000125225,0.0002534735],"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":[0.00003737695,0.000206928,0.00003068677,0.001049107,0.0001015185,0.000006557231,0.0001556417,0.00000114912,0.9968974,0.0000365354,0.001285822,0.0001912593],"study_design_scores_gemma":[0.0009314802,0.00001153426,0.000001726883,0.00007733081,0.00009875273,0.00002779638,0.0003033588,0.000511603,0.9731392,0.00001916287,0.02452922,0.0003488707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262947,0.0008611903,0.05414665,0.006089798,0.0001042166,0.0005924399,0.001455615,0.0008360473,0.009619322],"genre_scores_gemma":[0.9943282,0.00003422162,0.004115833,0.000311618,0.0003286957,0.00003692209,0.0002931751,0.00009797662,0.0004533867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06803345,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987486178288862,"score_gpt":0.2377838791399166,"score_spread":0.217909017357028,"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."}}