{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001920329,0.0002007494,0.0003272632,0.00004603749,0.00007973872,0.00001090513,0.0001030214,0.00004564866,0.00000744782],"category_scores_gemma":[0.00004366178,0.0001797979,0.00008783894,0.0003148043,0.0002328705,0.00003848932,0.00005605889,0.0003653705,0.000001165664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006859044,"about_ca_system_score_gemma":0.00004922778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005514079,"about_ca_topic_score_gemma":2.92943e-7,"domain_scores_codex":[0.9986984,0.00008791251,0.0003696354,0.0002943805,0.0002590467,0.0002905985],"domain_scores_gemma":[0.9992259,0.00008681663,0.0001516139,0.0003058274,0.0001017574,0.0001281132],"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":[0.0000881613,0.0002481023,0.005805374,0.0001052879,0.0000529116,0.0001075467,0.00008959857,0.0005037787,0.9919034,0.00008428178,0.00007673454,0.0009348532],"study_design_scores_gemma":[0.00206573,0.00002562244,0.002207403,0.0001463779,0.000271943,0.000182386,0.00006910509,0.006336011,0.9880708,0.00006746217,0.0004091994,0.0001479024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935573,0.003268023,0.0001611483,0.002329469,0.00003570605,0.0003733817,0.00004954549,0.00002307941,0.0002023735],"genre_scores_gemma":[0.9984617,0.0004071716,0.0006349202,0.0003400226,0.00005324059,0.000006783294,0.00001340269,0.00001957215,0.00006314868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832233,"threshold_uncertainty_score":0.7331944,"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."}}