{"id":"W2046865337","doi":"10.1021/bc900066j","title":"Radiolabeling of Biodegradable Polymeric Microspheres with [<sup>99m</sup>Tc(CO)<sub>3</sub>]<sup>+</sup> and <i>in Vivo</i> Biodistribution Evaluation using MicroSPECT/CT Imaging","year":2009,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodistribution; Chemistry; In vivo; Microparticle; Microsphere; Ligand (biochemistry); Spleen; Radiochemistry; Nuclear chemistry; In vitro; Chemical engineering; Biochemistry; Medicine","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":[0.0002215277,0.0003433152,0.0002354654,0.0001501787,0.0001096281,0.0002687123,0.0002355642,0.000399795,0.0006293692],"category_scores_gemma":[0.0002503822,0.0001905114,0.0001760411,0.0001457077,0.0002279587,0.0002732969,0.0001203433,0.0002495811,0.000261621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645094,"about_ca_system_score_gemma":0.0003233647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268473,"about_ca_topic_score_gemma":0.001318897,"domain_scores_codex":[0.9999007,0.00001918363,0.000006091585,0.000022643,0.0000247479,0.00002663076],"domain_scores_gemma":[0.9998395,0.00003863682,0.00005339438,0.00001182553,0.0000270313,0.00002947458],"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":[0.0001030678,0.00001033256,0.00006637978,0.00001738316,0.00000245436,0.00002976912,0.000007216167,0.0001141682,0.9983526,0.00005077307,0.00001952921,0.00122627],"study_design_scores_gemma":[0.00001608788,0.0002188032,0.0004836955,0.00000200578,0.00001187656,0.0001456582,0.000005353115,0.0008332833,0.997431,0.00001826352,0.0008293269,0.000004614488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777898,0.002684881,0.01742424,0.0001102803,0.00003016171,0.00008748264,0.0001240198,0.0001900148,0.001559103],"genre_scores_gemma":[0.9637789,0.001234608,0.03132582,0.00008553439,0.00002300588,0.00009048148,0.0002470259,0.00007974583,0.003134886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268473,"threshold_uncertainty_score":0.003370285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704004641775867,"score_gpt":0.2841814738189349,"score_spread":0.2671414274011762,"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."}}