{"id":"W1614336078","doi":"10.3233/cbm-2009-0134","title":"Positive identification of CA215 pan cancer biomarker from serum specimens of cancer patients","year":2009,"lang":"en","type":"article","venue":"Cancer Biomarkers","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Cancer; Biomarker; Medicine; Identification (biology); Oncology; Internal medicine; Cancer research; Biology; Genetics","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":[0.0006167993,0.0002933547,0.0002523409,0.0009190237,0.0002231103,0.0004320942,0.0002124939,0.0003775501,0.00143389],"category_scores_gemma":[0.001469524,0.0001017506,0.0001647236,0.0005834678,0.0002331219,0.000233527,0.0002465286,0.0002052612,0.0003370516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754243,"about_ca_system_score_gemma":0.00014829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007523728,"about_ca_topic_score_gemma":0.0008663479,"domain_scores_codex":[0.9995275,0.00008944499,0.0000647706,0.000117098,0.0001451969,0.00005592197],"domain_scores_gemma":[0.99932,0.0001799419,0.0001954801,0.00005667828,0.0001561649,0.000091662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009371195,0.00005965981,0.906432,0.0002021095,0.0001112211,0.000818914,0.000176298,0.0001347254,0.0747266,0.0000756532,0.000463936,0.01586171],"study_design_scores_gemma":[0.00003527537,0.0006852034,0.9057483,0.00003659155,0.0001953465,0.01190289,0.0002166797,0.001531615,0.07401299,0.00009088076,0.005527521,0.00001668077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952692,0.002232255,0.0007561314,0.00004170145,0.00001519867,0.00002990854,0.0002599812,0.00004616308,0.001349491],"genre_scores_gemma":[0.9985299,0.0002690359,0.0006353233,0.00003614549,0.00001069618,0.00001032199,0.0003332739,0.00000265171,0.0001726519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143389,"threshold_uncertainty_score":0.004796803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277414132818069,"score_gpt":0.3117386746002762,"score_spread":0.2989645332720955,"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."}}