{"id":"W3014223828","doi":"10.1039/d0dt00437e","title":"Coordination chemistry of [Y(pypa)]<sup>−</sup> and comparison immuno-PET imaging of [<sup>44</sup>Sc]Sc- and [<sup>86</sup>Y]Y-pypa-phenyl-TRC105","year":2020,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia; TRIUMF","funders":"National Cancer Institute; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Square antiprism; Chemistry; In vivo; Ligand (biochemistry); DOTA; Chelation; Crystallography; Conjugated system; Ion; Radiochemistry; Inorganic chemistry; Lanthanide; Biochemistry; Organic chemistry","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":[0.00007869029,0.0002485074,0.0001474021,0.00007233548,0.000131995,0.0001719082,0.0002646433,0.0002347284,0.001528057],"category_scores_gemma":[0.0001086151,0.0001399258,0.00008629927,0.00009753508,0.0001781664,0.00009692778,0.0001402753,0.0002193239,0.0002512639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606724,"about_ca_system_score_gemma":0.0002255662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726849,"about_ca_topic_score_gemma":0.001963199,"domain_scores_codex":[0.9999355,0.000009145078,0.00000238687,0.0000199915,0.00001392864,0.00001904085],"domain_scores_gemma":[0.9999659,0.000005293946,0.00001023096,0.000003945474,0.000006054941,0.000008530175],"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":[0.0001378996,0.000008918939,0.0000746402,0.00004426252,0.000004837314,0.00004279283,0.00002006459,0.0002191621,0.9979814,0.0001910858,0.0001196591,0.001155133],"study_design_scores_gemma":[0.00001388767,0.0001019059,0.0006515631,0.000001863861,0.000006310671,0.00008960419,0.000009370798,0.0007548337,0.9967571,0.00002171257,0.001588033,0.000003818763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897177,0.0005818235,0.004655834,0.00008846053,0.00001552087,0.0000422767,0.0001641235,0.0001174442,0.004616723],"genre_scores_gemma":[0.9919803,0.0003038179,0.004394105,0.00002881507,0.000004827653,0.00003025109,0.0001502221,0.00002950732,0.00307817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002726849,"threshold_uncertainty_score":0.005421937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206054722000505,"score_gpt":0.2959493904312534,"score_spread":0.2738888432112483,"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."}}