{"id":"W4382814339","doi":"10.3390/molecules28135120","title":"Synthesis and Evaluation of 99mTc-Labeled PSMA-Targeted Tracers Based on the Lys-Urea-Aad Pharmacophore for Detecting Prostate Cancer with Single Photon Emission Computed Tomography","year":2023,"lang":"en","type":"article","venue":"Molecules","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"LNCaP; Prostate cancer; Biodistribution; Chemistry; Pharmacophore; Urea; In vivo; Positron emission tomography; Glutamate carboxypeptidase II; Prostate; Imaging agent; Cancer; In vitro; Cancer research; Nuclear medicine; Biochemistry; Medicine; Internal medicine; Biology","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":[0.0003959749,0.0003810286,0.0004131125,0.0002800059,0.0001706725,0.0002961889,0.0003866994,0.0006082469,0.0003975188],"category_scores_gemma":[0.0004115271,0.0002474569,0.0002631314,0.0003430474,0.0002537876,0.0004311044,0.0002682451,0.0004903757,0.0002467899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622776,"about_ca_system_score_gemma":0.0004621344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049825,"about_ca_topic_score_gemma":0.001383877,"domain_scores_codex":[0.9998443,0.0000338745,0.00001239509,0.00003093257,0.00005322858,0.00002521818],"domain_scores_gemma":[0.9997817,0.00003182468,0.00005755301,0.00001712814,0.00005194253,0.00005989585],"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":[0.00008610619,0.0000391585,0.0001011204,0.00007516593,0.000006871125,0.00005550417,0.00002713439,0.0004524038,0.9967409,0.0001393462,0.00003075727,0.00224558],"study_design_scores_gemma":[0.00003172588,0.0007749359,0.0005233338,0.000006490495,0.00002229007,0.0001863977,0.00001503681,0.003347637,0.9932325,0.00002213662,0.001820653,0.00001694335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783517,0.002649146,0.01737829,0.00009269756,0.00002688663,0.0002840056,0.0001982259,0.0001059328,0.0009130809],"genre_scores_gemma":[0.9536362,0.00215549,0.04155326,0.00009830916,0.000016171,0.0002441934,0.0004174113,0.00003951632,0.001839512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049825,"threshold_uncertainty_score":0.004805207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820049995256586,"score_gpt":0.3385349241051857,"score_spread":0.2903344241526198,"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."}}