{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798729,0.0004040027,0.0002556684,0.0003043515,0.0002096015,0.000321144,0.0004712247,0.000457462,0.001196566],"category_scores_gemma":[0.0001784255,0.0002530167,0.0002389804,0.0002433294,0.0003289739,0.0004076709,0.0002912159,0.0008109157,0.0008495132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007855888,"about_ca_system_score_gemma":0.0004142294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009797744,"about_ca_topic_score_gemma":0.001268157,"domain_scores_codex":[0.9998556,0.00001716093,0.000006986639,0.00003569558,0.00004577597,0.00003872177],"domain_scores_gemma":[0.9998977,0.00001589936,0.00002104563,0.00001344508,0.00001572489,0.00003604756],"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":[0.00001636272,0.000007636563,0.00003706036,0.00004471083,0.000002232931,0.00004237091,0.000009249137,0.00007382967,0.9978131,0.0002855484,0.0001228741,0.001544934],"study_design_scores_gemma":[0.000002407495,0.00001970118,0.0001590085,0.000001997769,0.000002762846,0.0001196647,0.000002516699,0.0002252551,0.9957162,0.0000146489,0.003732764,0.000003201768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089269,0.01000025,0.1640056,0.0009675341,0.0001856495,0.0003377812,0.001633375,0.001125137,0.01281785],"genre_scores_gemma":[0.8606797,0.005898408,0.1157093,0.0003402588,0.00005169574,0.0002689956,0.001780233,0.0001730432,0.01509837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001196566,"threshold_uncertainty_score":0.005699873,"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."}}