{"id":"W1982553537","doi":"10.1038/labinvest.2014.65","title":"Superficial scrapings from breast tumors is a source for biobanking and research purposes","year":2014,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Cancerfonden; Cancer Research Society","keywords":"Biobank; Breast cancer; Progesterone receptor; Cancer; Epigenetics; Pathology; Estrogen receptor; Biomarker; Epidermal growth factor receptor; Tissue microarray; Biology; Immunohistochemistry; Medicine; Cancer research; Oncology; Bioinformatics; Internal medicine; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001949373,0.0006873037,0.0008909391,0.002932174,0.001102644,0.00190021,0.0006704016,0.001091117,0.01098915],"category_scores_gemma":[0.002016997,0.0003837984,0.000583677,0.001808171,0.0006294795,0.0006077822,0.001225756,0.0009799574,0.009567705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184869,"about_ca_system_score_gemma":0.0008455543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000573598,"about_ca_topic_score_gemma":0.001152779,"domain_scores_codex":[0.9983214,0.0004302036,0.0002071647,0.0002180097,0.0006315929,0.0001916447],"domain_scores_gemma":[0.9979209,0.0004026972,0.0002282138,0.0005562538,0.0006183477,0.0002735699],"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":[0.001261735,0.0005801529,0.05122289,0.001308202,0.0001580366,0.006831202,0.001064271,0.000128659,0.7638487,0.001947956,0.01428544,0.1573628],"study_design_scores_gemma":[0.0002755291,0.002625639,0.211032,0.001448162,0.0008419342,0.05655586,0.006285193,0.001216953,0.4381392,0.006099899,0.2753397,0.0001399263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447647,0.03837899,0.1195214,0.005788843,0.003195409,0.003585661,0.01334701,0.002554975,0.06886303],"genre_scores_gemma":[0.7608379,0.0197656,0.1339536,0.005675151,0.002558828,0.002652332,0.0161233,0.0007307954,0.05770255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098915,"threshold_uncertainty_score":0.03676242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223490463443093,"score_gpt":0.3115700704839908,"score_spread":0.2693351658495599,"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."}}