{"id":"W1581334302","doi":"10.3233/cbm-2009-0102","title":"Cancer cell expressions of immunoglobulin heavy chains with unique carbohydrate-associated biomarker","year":2009,"lang":"en","type":"article","venue":"Cancer Biomarkers","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomarker; Antibody; Cancer; Cancer research; Computational biology; Immunology; Medicine; Biology; Internal medicine; Biochemistry","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":[0.0001057892,0.0001480148,0.0001784041,0.000387494,0.0001837578,0.0002873662,0.0001038389,0.0002025697,0.0009662124],"category_scores_gemma":[0.0002052291,0.00007320966,0.0001425348,0.0005753608,0.0001505473,0.0001461671,0.0001565426,0.0001411679,0.0002174204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384208,"about_ca_system_score_gemma":0.0002018534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749481,"about_ca_topic_score_gemma":0.001456818,"domain_scores_codex":[0.9998916,0.0000103525,0.00001235525,0.00001741758,0.0000362909,0.00003200688],"domain_scores_gemma":[0.9998289,0.00003974883,0.00002363547,0.00003324234,0.00004934862,0.00002507288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007682871,0.00001903865,0.004553227,0.00003414342,0.00001102053,0.0001562548,0.00007258266,0.00003291448,0.9929186,0.00009383922,0.00003656318,0.001995036],"study_design_scores_gemma":[0.00002537268,0.000528321,0.1011995,0.000009574002,0.0001023219,0.002353955,0.0003214917,0.001021517,0.8877984,0.0001218453,0.006504649,0.00001307228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967063,0.0009271554,0.0007166155,0.00001780392,0.000006502557,0.00001543065,0.0002402633,0.00001936946,0.001350617],"genre_scores_gemma":[0.9965418,0.0005811853,0.0009533514,0.00001472306,0.00000406229,0.00001695118,0.0007946028,0.000004908205,0.001088397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001749481,"threshold_uncertainty_score":0.003478527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417576585494724,"score_gpt":0.2919089808176259,"score_spread":0.2777332149626787,"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."}}