{"id":"W2095021205","doi":"10.1021/mp8002418","title":"Noninvasive Monitoring of the Fate of <sup>111</sup>In-Labeled Block Copolymer Micelles by High Resolution and High Sensitivity MicroSPECT/CT Imaging","year":2009,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Biodistribution; Micelle; Chemistry; In vivo; Amphiphile; Copolymer; Organic chemistry; Biochemistry; Polymer; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000210982,0.0003578276,0.0001815687,0.0001419738,0.00007853661,0.0002550585,0.0001940084,0.0002774111,0.0004243032],"category_scores_gemma":[0.0002335296,0.0001594571,0.00008449952,0.00009081227,0.0001931163,0.0002592932,0.0001390617,0.0002670306,0.0003017868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700622,"about_ca_system_score_gemma":0.0001819579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005231689,"about_ca_topic_score_gemma":0.0004460878,"domain_scores_codex":[0.9999183,0.00001703838,0.000004167498,0.00001669257,0.00002849777,0.00001520815],"domain_scores_gemma":[0.9998432,0.00003573229,0.00005726348,0.00001053723,0.00003177323,0.00002140315],"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":[0.00001855173,0.000002822617,0.00009287149,0.000006657293,5.880128e-7,0.00001137441,0.000003406597,0.00005155283,0.999355,0.00001827942,0.000007503128,0.0004313042],"study_design_scores_gemma":[0.00000203584,0.00006497542,0.0008691058,9.83163e-7,0.000003784534,0.0000891022,0.000004075388,0.001798484,0.9968189,0.00001024237,0.0003363682,0.000001947532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609736,0.001523033,0.03586433,0.00007370413,0.0000125462,0.00005753802,0.0002016346,0.0002027542,0.00109083],"genre_scores_gemma":[0.9648085,0.001281048,0.03097928,0.00005295579,0.00001355651,0.00007202791,0.0003059591,0.00006852341,0.002418058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005231689,"threshold_uncertainty_score":0.001959503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186872852125061,"score_gpt":0.2934848212908968,"score_spread":0.2816160927696462,"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."}}