{"id":"W2885201462","doi":"10.1002/path.5155","title":"Epithelial‐to‐mesenchymal transition signature assessment in colorectal cancer quantifies tumour stromal content rather than true transition","year":2018,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Public Health Agency; Medical Research Council Canada; Cancer Research UK","keywords":"Epithelial–mesenchymal transition; Stromal cell; Subtyping; Transition (genetics); In silico; Mesenchymal stem cell; Biology; Cancer research; Pathology; Pathological; Cancer; Colorectal cancer; microRNA; Oncology; Medicine; Cell biology; Gene; Genetics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052261,0.0001525437,0.0003911209,0.0002352694,0.00009778232,0.00001229888,0.0001011872,0.0001464364,0.0001217866],"category_scores_gemma":[0.00004464527,0.00009988148,0.0001349471,0.0002550318,0.0001496687,0.00009486744,0.00001114522,0.0006353825,0.000005262953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828916,"about_ca_system_score_gemma":0.0002009803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002243627,"about_ca_topic_score_gemma":0.001261917,"domain_scores_codex":[0.9984791,0.0004037525,0.000432144,0.0001494653,0.0002881666,0.0002473808],"domain_scores_gemma":[0.9992154,0.00008680529,0.0002051971,0.00009513011,0.000300995,0.00009644449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01465663,0.000132064,0.0006560438,0.00001629387,0.00005256223,0.0002534794,0.00799234,0.0003431904,0.9729013,0.00003276927,0.0001101636,0.002853162],"study_design_scores_gemma":[0.005618134,0.02972628,0.5401791,0.0004574132,0.0004180196,0.006351406,0.005801034,0.002171515,0.4085615,0.0002949615,0.000148689,0.0002719349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814152,0.0002446292,0.01044723,0.006598437,0.0007977052,0.0003191172,0.00002056206,0.00001749342,0.0001396334],"genre_scores_gemma":[0.9979296,0.00006139918,0.0004848627,0.0005609244,0.0008855561,0.00001513998,0.000002906246,0.00001769927,0.00004186809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5643398,"threshold_uncertainty_score":0.4073049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970764391609147,"score_gpt":0.312839680465126,"score_spread":0.2831320365490345,"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."}}