{"id":"W4362472581","doi":"10.1016/j.labinv.2023.100145","title":"Distinguishing Gastric/Esophageal Adenocarcinoma from Pancreatic Adenocarcinoma Using Methylation-Based Droplet Digital PCR","year":2023,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Government of Ontario","keywords":"Methylation; Adenocarcinoma; Pancreatic cancer; DNA methylation; Immunohistochemistry; CpG site; Stomach; Pathology; Esophagus; Digital polymerase chain reaction; Metastasis; Pancreas; Biology; Cancer research; Cancer; Medicine; Polymerase chain reaction; Internal medicine; Gene; Gene expression; Anatomy; Endocrinology","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":[0.0009569665,0.00028836,0.0003694431,0.00107456,0.0001953656,0.0006303582,0.0004205794,0.0005802031,0.000977274],"category_scores_gemma":[0.001796454,0.0002551263,0.0002568122,0.0004486779,0.0003184571,0.0004088123,0.0003952764,0.0006595181,0.000406815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072482,"about_ca_system_score_gemma":0.000228818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005176871,"about_ca_topic_score_gemma":0.001009085,"domain_scores_codex":[0.999332,0.0001069565,0.00006979515,0.0001867172,0.0002240132,0.00008054645],"domain_scores_gemma":[0.9995289,0.0002047945,0.00008159861,0.0000471193,0.0001010312,0.00003660082],"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":[0.001019604,0.0001276665,0.173558,0.0003320574,0.0001030412,0.001382592,0.0004299661,0.0007317082,0.7040842,0.0007517359,0.0008240031,0.1166554],"study_design_scores_gemma":[0.00007620922,0.0007727204,0.2010098,0.0001114909,0.0003228776,0.01371666,0.0009481136,0.03352587,0.7387129,0.002794477,0.007945805,0.00006301046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416316,0.002811014,0.04936755,0.0005338028,0.00010552,0.0002346851,0.000754549,0.0004611636,0.004100071],"genre_scores_gemma":[0.9488717,0.0006992194,0.04854195,0.0003310245,0.00005573576,0.00007630471,0.0004146805,0.00003672301,0.0009726836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107456,"threshold_uncertainty_score":0.005060971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049266160347893,"score_gpt":0.2425969048520287,"score_spread":0.2221042432485498,"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."}}