{"id":"W2058433544","doi":"10.1021/bc900404y","title":"Synthesis and Evaluation of a Stable Bacteriochlorophyll-Analog and Its Incorporation into High-Density Lipoprotein Nanoparticles for Tumor Imaging","year":2009,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Fluorescence; Bacteriochlorophyll; Fluorophore; Absorbance; Conjugated system; Quantum yield; Nanoparticle; Biophysics; Scavenger receptor; Fluorescence-lifetime imaging microscopy; Combinatorial chemistry; Photochemistry; Lipoprotein; Biochemistry; Cholesterol; Nanotechnology; Chromatography; Organic chemistry; Polymer","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":[0.0002733959,0.0002404734,0.0001959271,0.0001319598,0.0001729608,0.0003042609,0.000244878,0.0004927891,0.0003062539],"category_scores_gemma":[0.000229622,0.0001459111,0.0002183549,0.0001225785,0.0001546996,0.0002102055,0.0002008766,0.000296236,0.0002173481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026754,"about_ca_system_score_gemma":0.0002410611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009241047,"about_ca_topic_score_gemma":0.0009020646,"domain_scores_codex":[0.99983,0.00003240553,0.00001572012,0.00003537938,0.00006719162,0.00001922152],"domain_scores_gemma":[0.999893,0.00001543032,0.00002742027,0.00001171243,0.00003047268,0.00002191591],"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":[0.00002493402,0.00002338709,0.0000382572,0.00002902017,0.000002422303,0.00002341282,0.00001139786,0.000150778,0.9984067,0.00004165913,0.00001555463,0.001232565],"study_design_scores_gemma":[0.000007484844,0.0002060754,0.0002647676,0.000001763601,0.000005159986,0.00005036417,0.000006799175,0.0008279333,0.9974467,0.00001011968,0.00116885,0.000004116227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796362,0.002237666,0.01535025,0.0001419477,0.00004589246,0.0002024318,0.0001854551,0.00009201819,0.002108193],"genre_scores_gemma":[0.9794176,0.001082014,0.01675045,0.00005715278,0.00001087284,0.0001086093,0.0001986873,0.00002804756,0.002346518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009241047,"threshold_uncertainty_score":0.002921641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462644335650286,"score_gpt":0.2728672187945161,"score_spread":0.2582407754380132,"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."}}