{"id":"W2029410023","doi":"10.2174/1874471011104020090","title":"Radiotracers Based on Technetium-94m","year":2011,"lang":"en","type":"review","venue":"Current Radiopharmaceuticals","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Positron emission tomography; Molecular imaging; Pet imaging; Technetium; Solvent extraction; Chemistry; Radiochemistry; Technetium-99m; Nuclear medicine; Medical physics; Nanotechnology; Materials science; Extraction (chemistry); Medicine; Nuclear chemistry; Scintigraphy; Organic chemistry; In vivo","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":[0.0003142722,0.0007363282,0.0008428491,0.001161587,0.0001757964,0.0005352846,0.0007158615,0.0007723899,0.001728857],"category_scores_gemma":[0.0002453059,0.0002692144,0.0003197238,0.00102014,0.0003127234,0.0005907622,0.0003957747,0.0007102116,0.002504586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000523737,"about_ca_system_score_gemma":0.0003898755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004849258,"about_ca_topic_score_gemma":0.0005378802,"domain_scores_codex":[0.9998491,0.00002154992,0.000009895239,0.00003233718,0.00006653312,0.00002057543],"domain_scores_gemma":[0.9999508,0.00001753607,0.00001141454,0.00000298113,0.0000116518,0.000005601097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002454993,0.0001162363,0.000469777,0.00811796,0.0001081704,0.001321908,0.00009196687,0.001008629,0.3369144,0.01267248,0.008327799,0.6306052],"study_design_scores_gemma":[0.00003579675,0.0004314403,0.0009766353,0.0004397446,0.0001187336,0.006639764,0.00004559637,0.000489838,0.23639,0.001314395,0.7530717,0.0000463842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01034357,0.9581506,0.01288384,0.0003765722,0.000370404,0.00009689392,0.0001198791,0.0001648249,0.01749339],"genre_scores_gemma":[0.06711639,0.8996113,0.01615637,0.000730623,0.0003423906,0.0001926321,0.000342197,0.00004270478,0.01546547],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001728857,"threshold_uncertainty_score":0.005783617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2620344838239292,"score_gpt":0.4948166403647032,"score_spread":0.232782156540774,"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."}}