{"id":"W2129513783","doi":"10.1111/j.1365-2559.2006.02516.x","title":"Increasing EMMPRIN and matriptase expression in hepatocellular carcinoma: tissue microarray analysis of immunohistochemical scores with clinicopathological parameters","year":2006,"lang":"en","type":"article","venue":"Histopathology","topic":"Signaling Pathways in Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"Immunostaining; Tissue microarray; Immunohistochemistry; Pathology; Basigin; Medicine; Hepatocellular carcinoma; Stage (stratigraphy); Grading (engineering); Carcinoma; Internal medicine; Matrix metalloproteinase; Biology","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":[0.0003561635,0.0001501445,0.0002614419,0.0006566388,0.0001606287,0.000288058,0.0001271561,0.0002012072,0.001089929],"category_scores_gemma":[0.0005419248,0.0001344351,0.0001438291,0.0006941828,0.0001011213,0.0002179081,0.000146185,0.0001908437,0.0002540418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154596,"about_ca_system_score_gemma":0.0001184299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004556202,"about_ca_topic_score_gemma":0.0007103758,"domain_scores_codex":[0.9997159,0.00006792872,0.00003186634,0.00007781502,0.00006922854,0.00003732431],"domain_scores_gemma":[0.9996849,0.00008371451,0.0001058559,0.00003626603,0.00005409259,0.0000351357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00106343,0.00007916801,0.7207122,0.00009324723,0.0001722316,0.0002525915,0.0001469681,0.0004658793,0.2577547,0.00006290858,0.0003714544,0.0188253],"study_design_scores_gemma":[0.000005967385,0.0001087659,0.9859245,0.000004042247,0.00005278762,0.0006254408,0.00009426328,0.001582443,0.01106628,0.00003805299,0.0004902864,0.00000702666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979303,0.0003116467,0.001014171,0.00002714628,0.000004322311,0.000008304811,0.0003343117,0.00001426672,0.0003556251],"genre_scores_gemma":[0.998099,0.0001285455,0.000944033,0.00001240896,0.000007330488,0.00002904644,0.0004154389,0.000002881695,0.0003612047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089929,"threshold_uncertainty_score":0.003646195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031342293260623,"score_gpt":0.2422226140273713,"score_spread":0.231909191094765,"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."}}