{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048456,0.0002666237,0.0003726777,0.00006376928,0.00004186241,0.00002101178,0.00009455407,0.00005179806,0.000006927806],"category_scores_gemma":[0.000006269185,0.0002163241,0.00003845889,0.0001031625,0.0003181676,0.00001647825,0.0000949416,0.0001319488,2.397342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003502128,"about_ca_system_score_gemma":0.00004264168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044654,"about_ca_topic_score_gemma":0.00002008875,"domain_scores_codex":[0.9986976,0.0000553273,0.000272169,0.0005750225,0.00006136304,0.0003384906],"domain_scores_gemma":[0.999533,0.000004746252,0.000103999,0.000152715,0.00006905675,0.0001364556],"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":[0.000233393,0.00002016169,0.1457149,0.00008346472,0.00005044461,0.0001223615,0.0001481951,0.00004057199,0.8476461,0.0000863798,0.00004966601,0.005804359],"study_design_scores_gemma":[0.01741817,0.001062264,0.3475114,0.0005740314,0.0008900992,0.007864803,0.001317532,0.04441234,0.5596697,0.001007233,0.01486111,0.003411315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806823,0.01480304,0.002266362,0.001829657,0.00004194583,0.0001432947,0.00008876866,0.00001382019,0.0001308818],"genre_scores_gemma":[0.9952614,0.002146663,0.0007703598,0.001633508,0.00006221867,0.000009111568,0.00007115996,0.00003160304,0.00001391715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2879764,"threshold_uncertainty_score":0.8821439,"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."}}