{"id":"W3049596762","doi":"10.1007/s11307-020-01529-1","title":"PET Imaging of l-Type Amino Acid Transporter (LAT1) and Cystine-Glutamate Antiporter (xc−) with [18F]FDOPA and [18F]FSPG in Breast Cancer Models","year":2020,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Northern Alberta Institute of Technology; University of Alberta","funders":"Alberta Cancer Foundation","keywords":"Amino acid transporter; Cystine; Breast cancer; Chemistry; Amino acid; Cancer cell; Western blot; Transporter; Antiporter; Cancer research; Glutamine; Triple-negative breast cancer; Immunohistochemistry; Molecular biology; Cancer; Biochemistry; Biology; Pathology; Medicine; Internal medicine; Gene; Cysteine","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":[0.0004633392,0.0006959868,0.0003756468,0.0004162177,0.000287033,0.000606743,0.0006645198,0.001086466,0.0009372012],"category_scores_gemma":[0.0001984608,0.0003189663,0.0003950779,0.0003594586,0.0003400973,0.0005374377,0.0001465018,0.0009552275,0.0004402756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839061,"about_ca_system_score_gemma":0.0004321847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004908106,"about_ca_topic_score_gemma":0.003334654,"domain_scores_codex":[0.9998354,0.00004220922,0.000007651456,0.00003446666,0.00002303965,0.00005724889],"domain_scores_gemma":[0.9999088,0.00001906042,0.00001909794,0.00001003041,0.0000208158,0.00002210866],"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":[0.002104987,0.0004478565,0.0006631146,0.0001753037,0.00006112298,0.0004465037,0.00009519169,0.001057341,0.987269,0.0008032286,0.0009557224,0.005920555],"study_design_scores_gemma":[0.000253238,0.002818699,0.002049229,0.00002118628,0.0002959038,0.001979771,0.0001523171,0.008355333,0.9728344,0.0002192431,0.0109966,0.0000239202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699222,0.007464183,0.01487315,0.0009371862,0.0001577733,0.0002117935,0.0009678454,0.0004274635,0.005038331],"genre_scores_gemma":[0.9703339,0.005195551,0.01020384,0.0002043171,0.00004057308,0.0003329832,0.001242235,0.00007532754,0.01237135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004908106,"threshold_uncertainty_score":0.009759068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056611895914268,"score_gpt":0.2286896318546707,"score_spread":0.2206330199587564,"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."}}