{"id":"W2005504812","doi":"10.3390/cancers4030821","title":"Characterization of the Tumor-Microenvironment in Patient-Derived Cervix Xenografts (OCICx)","year":2012,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; Princess Margaret Hospital Foundation; University Health Network","keywords":"Stromal cell; Pathology; Tumor microenvironment; Lymphatic system; Medicine; Lymph; Transplantation; Metastasis; Biopsy; Stroma; Cancer research; Hypoxia (environmental); Primary tumor; Chemistry; Immunohistochemistry; Cancer; Internal medicine; Tumor cells","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005118002,0.00008761739,0.00009836884,0.00001862129,0.00002744418,0.000003463093,0.0001042032,0.00004711675,0.00003116364],"category_scores_gemma":[0.000007132546,0.00007240114,0.00005903449,0.00006868644,0.00006719031,0.00000408605,0.00006517498,0.00004743506,0.00000210934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024792,"about_ca_system_score_gemma":0.00008867309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006846055,"about_ca_topic_score_gemma":0.00004422714,"domain_scores_codex":[0.9994062,0.00003554884,0.000145509,0.0001277316,0.00008253975,0.0002025407],"domain_scores_gemma":[0.9996086,0.000001556292,0.0001047073,0.0002254803,0.00001276294,0.00004688108],"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":[0.00002703872,0.00001442962,0.004073584,0.00001044957,0.00001051658,5.736925e-8,0.000319087,0.00004152974,0.9917731,0.000007023068,0.0002279421,0.003495224],"study_design_scores_gemma":[0.0002563835,0.00002405126,0.06975538,0.0000120999,0.000009276619,0.000001927428,0.00008465779,0.000002586992,0.7522413,0.000001081121,0.1775332,0.00007812114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963519,0.001664055,0.00002772596,0.00004120644,0.001456644,0.0001842837,0.00003476728,0.000002108488,0.000237318],"genre_scores_gemma":[0.9980916,0.0007426133,0.00002315935,0.0004477872,0.0005364913,0.00003316116,0.00003638499,0.00001297872,0.00007584241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2395319,"threshold_uncertainty_score":0.2952433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301606762709071,"score_gpt":0.2026193652867034,"score_spread":0.1963177585239943,"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."}}