{"id":"W2105980005","doi":"10.1158/1055-9965.epi-08-0713","title":"Sampling Strategies for Tissue Microarrays to Evaluate Biomarkers in Ovarian Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"National Cancer Institute","keywords":"Tissue microarray; Immunohistochemistry; Ovarian cancer; Cancer; Sampling (signal processing); Pathology; DNA microarray; Medicine; Biology; Oncology; Cancer research; Internal medicine; Gene expression; Gene; Computer science; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005571168,0.000412,0.001010289,0.0006204989,0.0001563356,0.00002916163,0.0003247891,0.0004558013,0.0005841829],"category_scores_gemma":[0.001082739,0.0003981294,0.0002706156,0.0007940899,0.0001989496,0.0001988756,0.00005916469,0.0003630014,0.0000332013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134855,"about_ca_system_score_gemma":0.001417074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025142,"about_ca_topic_score_gemma":0.002315417,"domain_scores_codex":[0.9953862,0.000765687,0.001163769,0.001135662,0.0002700813,0.001278622],"domain_scores_gemma":[0.997777,0.0006221771,0.0002987145,0.0005887637,0.0002869202,0.0004263793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006352814,0.0003113674,0.08398841,0.0006894276,0.001321742,0.00002585018,0.0006579036,0.001099171,0.2939742,0.001575926,0.0588472,0.551156],"study_design_scores_gemma":[0.01300433,0.004014009,0.7472987,0.005787276,0.0008798278,0.00006220382,0.00124187,0.003253568,0.01925872,0.06036375,0.1431307,0.001704987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4908724,0.07598966,0.184145,0.2198575,0.005536105,0.01881541,0.0003582638,0.0005015132,0.003924222],"genre_scores_gemma":[0.893752,0.004358287,0.08362607,0.00915886,0.001415572,0.00538007,0.0003871944,0.000159346,0.001762613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6633103,"threshold_uncertainty_score":0.9998471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184711342065521,"score_gpt":0.5129714561115281,"score_spread":0.3282601140460071,"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."}}