{"id":"W2259849752","doi":"10.2967/jnumed.115.167072","title":"Preclinical <sup>89</sup>Zr Immuno-PET of High-Grade Serous Ovarian Cancer and Lymph Node Metastasis","year":2016,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; Commonwealth Foundation","keywords":"Ovarian cancer; Biodistribution; Lymph; Lymph node; Medicine; Pathology; Cancer; Metastasis; Serous fluid; Immunohistochemistry; Ex vivo; Cancer research; Antibody; In vivo; Immunology; Biology; Internal medicine","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":[0.0002543333,0.0004088848,0.0001930016,0.0001205622,0.000094699,0.0002995041,0.000417575,0.0003409409,0.002063642],"category_scores_gemma":[0.0001473972,0.0001938084,0.0001597993,0.0001202568,0.0002542366,0.0002195611,0.0001478237,0.0004252199,0.0006705802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099588,"about_ca_system_score_gemma":0.0002973503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286197,"about_ca_topic_score_gemma":0.0009661309,"domain_scores_codex":[0.999928,0.00001748889,0.000003880433,0.00001267418,0.00001721062,0.00002068583],"domain_scores_gemma":[0.9999396,0.0000123657,0.00001878125,0.000007950705,0.000008482235,0.0000128699],"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":[0.002444724,0.00036836,0.00137009,0.0002050107,0.00002416186,0.0002512965,0.00003286828,0.0007916815,0.9846443,0.0004047669,0.0006105669,0.008852173],"study_design_scores_gemma":[0.0004190558,0.008583028,0.01050226,0.00002565039,0.0001286158,0.002118358,0.0000592708,0.003852671,0.9633566,0.0001264318,0.0108179,0.00001018838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725362,0.007025457,0.01037971,0.0003459019,0.00008306737,0.0002718456,0.0006978839,0.0002817956,0.00837821],"genre_scores_gemma":[0.9919649,0.001626073,0.003219072,0.0001033496,0.00002439093,0.0001228324,0.0006014038,0.00003012481,0.002307858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002063642,"threshold_uncertainty_score":0.006903529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745009446079376,"score_gpt":0.3597692065410634,"score_spread":0.3123191120802696,"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."}}