{"id":"W2624993069","doi":"10.1002/cjp2.75","title":"A predictive analysis of the SP120 and 10D7G2 antibodies for human equilibrative nucleoside transporter 1 (hENT1) in pancreatic ductal adenocarcinoma treated with adjuvant gemcitabine","year":2017,"lang":"en","type":"article","venue":"The Journal of Pathology Clinical Research","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of Alberta; BC Cancer Agency; Centre for Advancing Health Outcomes; Pancreas Centre (Canada); University of British Columbia","funders":"BC Cancer Foundation","keywords":"Gemcitabine; Oncology; Medicine; Internal medicine; Biomarker; Tissue microarray; Immunohistochemistry; Antibody; Adjuvant; Pancreatic ductal adenocarcinoma; Predictive marker; Adenocarcinoma; Pancreatic cancer; Pathology; Cancer; Biology; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006564914,0.0002270629,0.000277469,0.0006639826,0.00017723,0.0004121118,0.0001695066,0.0003211801,0.0006165457],"category_scores_gemma":[0.001109008,0.0001177672,0.0002374962,0.0004116338,0.0001880981,0.000162517,0.0002934663,0.0003622361,0.0001308465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404028,"about_ca_system_score_gemma":0.0001319199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007557801,"about_ca_topic_score_gemma":0.001122466,"domain_scores_codex":[0.9997364,0.00008832532,0.00002147778,0.00005434295,0.00006259495,0.0000369485],"domain_scores_gemma":[0.9993606,0.0002243063,0.0001625684,0.00003705481,0.0001096174,0.0001057634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001378507,0.00003600674,0.9647877,0.00001648336,0.00006562128,0.0001952535,0.00005034132,0.0005924017,0.02515008,0.00003357759,0.0001410911,0.007552812],"study_design_scores_gemma":[0.00001829512,0.0004005708,0.9833456,0.000006014444,0.00009846555,0.0007458248,0.0001611479,0.006478047,0.008254194,0.00009051644,0.0003947455,0.000006499129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992552,0.000165331,0.0002465225,0.00002175026,0.000004163983,0.000004455835,0.00006011249,0.000005763541,0.0002367068],"genre_scores_gemma":[0.9995525,0.00003669811,0.0002141508,0.000005742237,0.000002858781,0.000003661029,0.0001060169,0.000001434051,0.00007688453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007557801,"threshold_uncertainty_score":0.003471851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1720107011646824,"score_gpt":0.4937055359037421,"score_spread":0.3216948347390597,"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."}}