{"id":"W2163614459","doi":"10.3892/or.2014.2979","title":"Glycan profiling of gestational choriocarcinoma using a lectin microarray","year":2014,"lang":"en","type":"article","venue":"Oncology Reports","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Keio University","keywords":"Choriocarcinoma; Biology; Carcinogenesis; Glycan; Lectin; Microarray analysis techniques; Cancer research; Galectin; Microarray; Trophoblast; Immunology; Molecular biology; Placenta; Glycoprotein; Cancer; Biochemistry; Fetus; Genetics; Gene expression; Pregnancy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532311,0.00009331905,0.0001607631,0.00007219498,0.00007352185,0.000007663627,0.00007131737,0.0001679533,0.00005882818],"category_scores_gemma":[0.0003107884,0.00009241481,0.00006479773,0.00008678321,0.0001050819,0.000003026975,0.00006142417,0.00009994772,0.000003432794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003634966,"about_ca_system_score_gemma":0.000400752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007043973,"about_ca_topic_score_gemma":0.00004913957,"domain_scores_codex":[0.9989064,0.0001185424,0.0003247217,0.0002977056,0.0001507294,0.000201844],"domain_scores_gemma":[0.9992009,0.00002062452,0.000226084,0.0002692681,0.000211229,0.00007190198],"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":[0.0000530563,0.00006379978,0.04874476,0.00001794488,0.00002308157,0.00002833217,0.00002532541,0.0001439198,0.9473136,0.00008871419,0.00029033,0.003207132],"study_design_scores_gemma":[0.0005170426,0.0006696445,0.01754799,0.00001028025,0.00001493059,0.0009238825,0.0000431361,0.0007683779,0.9108307,0.0002432269,0.06829067,0.0001401497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874712,0.00009698344,0.005205845,0.0001163191,0.0002083873,0.000213297,0.000001878317,0.000007702797,0.006678374],"genre_scores_gemma":[0.9877936,0.000005703716,0.01115018,0.00008055315,0.0001779934,0.0000177298,0.0000751464,0.0000147386,0.0006844065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06800034,"threshold_uncertainty_score":0.3768567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120649645125814,"score_gpt":0.3206320014384328,"score_spread":0.2994255049871747,"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."}}