{"id":"W2789278189","doi":"10.1097/pai.0000000000000579","title":"Fresh Cut Versus Stored Cut Paraffin-embedded Tissue: Effect on Immunohistochemical Staining for Common Breast Cancer Markers","year":2018,"lang":"en","type":"article","venue":"Applied immunohistochemistry & molecular morphology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute","keywords":"Staining; Immunohistochemistry; Breast cancer; Pathology; Cytokeratin; Medicine; Estrogen receptor; Human Epidermal Growth Factor Receptor 2; Concordance; Cancer; 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":[0.01214453,0.0005882499,0.0008886585,0.0007295138,0.0003797381,0.001103765,0.000594634,0.0007670852,0.003222671],"category_scores_gemma":[0.009355744,0.0004668005,0.0004712514,0.0008832222,0.00106638,0.0006370974,0.0006387669,0.001079418,0.0005158635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217651,"about_ca_system_score_gemma":0.0004085834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006341768,"about_ca_topic_score_gemma":0.001997134,"domain_scores_codex":[0.989616,0.004396194,0.00142925,0.001850925,0.002290638,0.0004169845],"domain_scores_gemma":[0.9828548,0.009818429,0.002796513,0.001759443,0.002292836,0.0004780096],"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":[0.07543486,0.003099525,0.03503295,0.002047371,0.000744068,0.0008085834,0.001032271,0.0007539044,0.8397673,0.0004252173,0.0006622178,0.04019168],"study_design_scores_gemma":[0.001171155,0.07092058,0.1865328,0.000341729,0.001917782,0.002637296,0.0008929581,0.003415959,0.7227359,0.0004804452,0.008807463,0.0001459745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810917,0.008238099,0.006310515,0.0002147123,0.000615729,0.0007393379,0.000493301,0.00007350454,0.002223001],"genre_scores_gemma":[0.9651948,0.003841724,0.02504401,0.0004852731,0.0002665791,0.001051498,0.0009476058,0.0002293458,0.002939197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214453,"threshold_uncertainty_score":0.06422722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007152888470393754,"score_gpt":0.3082547663978599,"score_spread":0.3011018779274661,"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."}}