{"id":"W2520141928","doi":"","title":"Synthesis and pre-clinical evaluation of an (18)F-labeled single-chain antibody fragment for PET imaging of epithelial ovarian cancer.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Antibody; Ovarian cancer; Flow cytometry; In vivo; Antigen; Molecular biology; Monoclonal antibody; Medicine; Immunohistochemistry; Single-chain variable fragment; Cancer; Recombinant DNA; Cancer research; Pathology; Chemistry; Immunology; Biology; Biochemistry; Gene; Internal medicine","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":[0.0004147817,0.000292344,0.0002465566,0.0002134487,0.0001173148,0.0002298529,0.0002388394,0.0003863276,0.001500331],"category_scores_gemma":[0.0003780795,0.0001740625,0.0002163981,0.0002066174,0.000177795,0.000176184,0.0001211301,0.0004151299,0.0005999028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455733,"about_ca_system_score_gemma":0.000452049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008123326,"about_ca_topic_score_gemma":0.0008533612,"domain_scores_codex":[0.9998977,0.00002482229,0.000005221376,0.0000175156,0.00003736052,0.00001737704],"domain_scores_gemma":[0.9998333,0.00002022254,0.00003893853,0.00001754302,0.00004964282,0.00004022691],"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":[0.0003571729,0.0001199219,0.0002768026,0.0001246587,0.00001255226,0.0001384617,0.00002370923,0.0003751715,0.9823681,0.0001094338,0.0002553695,0.0158386],"study_design_scores_gemma":[0.000233137,0.006618947,0.003402431,0.00002634662,0.00007029271,0.001827876,0.00002464421,0.001968002,0.9685273,0.00006962063,0.01721547,0.00001590969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919222,0.01362711,0.08094823,0.0005367152,0.0001676152,0.002499088,0.00191899,0.0003539477,0.008026104],"genre_scores_gemma":[0.9289637,0.005925574,0.05722192,0.0002995004,0.00004868449,0.0005275328,0.002249152,0.000105196,0.004658717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001500331,"threshold_uncertainty_score":0.005019128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09834984456485005,"score_gpt":0.3968659904897111,"score_spread":0.2985161459248611,"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."}}