{"id":"W2195245771","doi":"10.1515/cclm-2015-0773","title":"Glypican-1 as a highly sensitive and specific pancreatic cancer biomarker","year":2015,"lang":"en","type":"letter","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pancreatic cancer; Biomarker; Glypican 3; Medicine; Cancer; Cancer research; Internal medicine; Chemistry; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005373333,0.000656088,0.00120826,0.00002281289,0.0001551421,0.00003873357,0.0003030075,0.001791256,0.0007060321],"category_scores_gemma":[0.0005462923,0.0005627838,0.0001013649,0.00023074,0.001648811,0.00006963976,0.0001924801,0.002898433,0.00001543287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012257,"about_ca_system_score_gemma":0.0003597893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004507924,"about_ca_topic_score_gemma":0.000001130738,"domain_scores_codex":[0.9967667,0.0000709091,0.001031608,0.001242972,0.0004084253,0.0004793587],"domain_scores_gemma":[0.9967468,0.0007832797,0.0006056575,0.000903703,0.0004678407,0.0004926593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001273151,0.00004669599,0.0003273017,0.0009035043,0.0001793173,0.0003532163,0.00005530825,1.084903e-7,0.04089122,0.00002555421,0.9549314,0.002159078],"study_design_scores_gemma":[0.001145861,0.00005339138,0.00003998859,0.0008924685,0.0003009543,0.00005865994,0.0001392223,0.0000141336,0.02182403,0.001275741,0.9736149,0.0006406433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.312555,0.03015894,0.0003103811,0.6075026,0.0005627677,0.001127215,0.003095228,0.0009491225,0.04373867],"genre_scores_gemma":[0.06439306,0.09825687,0.008193185,0.6906227,0.06920853,0.002144139,0.005569021,0.0009734361,0.06063904],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.248162,"threshold_uncertainty_score":0.9996824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552850159656697,"score_gpt":0.3584794137303498,"score_spread":0.3129509121337828,"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."}}