{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870224,0.0001149685,0.0001346026,0.00001661087,0.00007782387,0.00003297155,0.00005354278,0.00004655835,0.00001039307],"category_scores_gemma":[0.0001713296,0.0001108959,0.00003017448,0.00004154962,0.00005791571,0.00001202987,0.00004301133,0.00002730801,4.816546e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003075873,"about_ca_system_score_gemma":0.00009498147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171994,"about_ca_topic_score_gemma":0.00004209075,"domain_scores_codex":[0.9992234,0.00002755549,0.0001547719,0.0002926158,0.0001499509,0.000151755],"domain_scores_gemma":[0.9994408,0.00001071407,0.00009879806,0.0001526552,0.000213421,0.00008355693],"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":[0.0002206043,0.00004574193,0.0003285244,0.00008999799,0.00003164866,0.00000116717,0.00001604412,0.000002306502,0.9814575,0.000009539762,0.00002644622,0.01777054],"study_design_scores_gemma":[0.0007783662,0.0001098499,0.004424852,0.00002839479,0.00006168406,0.00000802698,0.00002866001,0.0004147273,0.9932063,0.0007692031,0.00006122264,0.0001086737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978755,0.001424583,0.00002811533,0.000189157,0.000009726919,0.0003861045,0.00004692255,0.000005979286,0.00003390642],"genre_scores_gemma":[0.9993022,0.00008248813,0.0003121978,0.00002727666,0.00005989112,0.0001010013,0.00008251133,0.000008508954,0.00002389659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01766186,"threshold_uncertainty_score":0.4522205,"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."}}