{"id":"W2131331408","doi":"10.1186/1757-2215-2-8","title":"Characterization of the tumor marker muc16 (ca125) expressed by murine ovarian tumor cell lines and identification of a panel of cross-reactive monoclonal antibodies","year":2009,"lang":"en","type":"article","venue":"Journal of Ovarian Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institutes of Health; National Cancer Institute; Ovarian Cancer Research Fund; U.S. Department of Defense","keywords":"Monoclonal antibody; Tumor marker; Identification (biology); Immunohistochemistry; Medicine; Antibody; Pathology; Reproductive medicine; Ovarian cancer; Ovarian tumor; Cancer research; Molecular biology; Biology; Immunology; Internal medicine; Cancer; Genetics; Pregnancy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176646,0.0007059366,0.0002309947,0.0004449838,0.0001599537,0.0002480905,0.0002660504,0.0003255178,0.001633919],"category_scores_gemma":[0.0001982902,0.0001881753,0.0003607176,0.0002867228,0.0001610808,0.0001806922,0.0002179649,0.0005788479,0.0006977381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004047146,"about_ca_system_score_gemma":0.0001668792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006694389,"about_ca_topic_score_gemma":0.0009433833,"domain_scores_codex":[0.9997665,0.00002589182,0.00002869321,0.00005727722,0.00007166736,0.00004991631],"domain_scores_gemma":[0.9998195,0.00002633287,0.00005502671,0.00002964431,0.00003824059,0.0000313138],"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":[0.00002014263,0.00001126179,0.000167571,0.00001497129,0.000002093832,0.00001764921,0.000006224331,0.00002582124,0.9990914,0.00003044494,0.0000170875,0.0005952381],"study_design_scores_gemma":[0.00001983544,0.0003085422,0.005522436,0.00001472339,0.000027657,0.0005319177,0.00001557525,0.0009165374,0.9869469,0.00002816964,0.005662712,0.000004941562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774016,0.003008535,0.01505769,0.000137771,0.00003761827,0.0001919644,0.0009644048,0.0001556102,0.00304475],"genre_scores_gemma":[0.9578236,0.004053344,0.02656594,0.0001241094,0.00003202834,0.0003775689,0.004594756,0.00006325889,0.006365274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001633919,"threshold_uncertainty_score":0.005465984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296711643060855,"score_gpt":0.3341229200605378,"score_spread":0.3044517557544523,"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."}}