{"id":"W2887355442","doi":"10.1002/anie.201805482","title":"A Green BODIPY‐Based, Super‐Fluorogenic, Protein‐Specific Labelling Agent","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":41,"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; University of Ottawa","keywords":"BODIPY; Labelling; Chemistry; Combinatorial chemistry; Biochemistry; Fluorescence; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581774,0.0004085285,0.0002854777,0.0002975171,0.0002237078,0.0003409355,0.0005402513,0.000467986,0.001087181],"category_scores_gemma":[0.0001506727,0.0002731507,0.000255556,0.0002608837,0.0003239049,0.0004299011,0.0002938778,0.0008299529,0.0008568721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008352944,"about_ca_system_score_gemma":0.0004414826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266569,"about_ca_topic_score_gemma":0.001578686,"domain_scores_codex":[0.999845,0.00001458454,0.000007634204,0.00003840885,0.00005181905,0.00004247003],"domain_scores_gemma":[0.9999201,0.00001081189,0.00001812002,0.0000100865,0.0000131089,0.00002777392],"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":[0.00001809932,0.000008261308,0.0000468314,0.00005524664,0.00000244892,0.00005751808,0.00001318613,0.0001020192,0.9968715,0.000379779,0.0001521197,0.00229296],"study_design_scores_gemma":[0.00000224661,0.00002197934,0.0001729685,0.000002136593,0.000003013866,0.0001544256,0.000002990087,0.0002865929,0.9943314,0.00001601713,0.005002482,0.000003775947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971786,0.01265823,0.1710524,0.001166435,0.0001990085,0.0003288887,0.001640492,0.001277843,0.01449807],"genre_scores_gemma":[0.8312152,0.008838827,0.1396354,0.0003484939,0.00006047547,0.0003016671,0.001854578,0.0001803034,0.01756515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001266569,"threshold_uncertainty_score":0.006060541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768158162612727,"score_gpt":0.2700021708151579,"score_spread":0.2423205891890307,"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."}}