{"id":"W4240881451","doi":"10.1002/ange.201805482","title":"A Green BODIPY‐Based, Super‐Fluorogenic, Protein‐Specific Labelling Agent","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Labelling; BODIPY; Peptide; Lysis; Chemistry; Derivative (finance); Combinatorial chemistry; Biochemistry; Biophysics; Fluorescence; Biology","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":[0.0001089394,0.000298619,0.0002389083,0.00002683773,0.0003091997,0.00006523547,0.0004504359,0.0002238266,0.006247543],"category_scores_gemma":[0.00002677415,0.0003070553,0.0001734694,0.0002251445,0.0002311351,0.00008157374,0.0001027529,0.0002669517,0.0005482226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088244,"about_ca_system_score_gemma":0.00006990189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005486276,"about_ca_topic_score_gemma":0.000014685,"domain_scores_codex":[0.9982922,0.000006041022,0.0003420456,0.0005932243,0.0002811222,0.0004853332],"domain_scores_gemma":[0.9985912,0.00005126822,0.0001104829,0.0008713618,0.0001490255,0.0002266965],"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":[0.00003250162,0.0001425362,0.0002189913,0.0001171586,0.0000349987,0.000009818671,0.0001287527,6.329951e-7,0.9924734,0.0001065584,0.005704308,0.001030297],"study_design_scores_gemma":[0.0004303837,0.00001065521,0.000004840848,0.00006248955,0.00002215115,0.000008624153,0.00005358122,0.00002060996,0.6901991,0.0002084703,0.3087209,0.000258153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232733,0.0007554069,0.0001375155,0.0008781371,0.00004145233,0.0001749814,0.0001208867,0.0003308391,0.0742875],"genre_scores_gemma":[0.9859872,0.00004468872,0.0009693129,0.0002472794,0.001466017,0.0002580476,0.0002401343,0.00005881318,0.01072844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030166,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359761272208682,"score_gpt":0.2595553010224188,"score_spread":0.225957688300332,"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."}}