{"id":"W2095273987","doi":"10.1021/pr0700798","title":"Identification of Candidate Biomarker Proteins Released by Human Endometrial and Cervical Cancer Cells Using Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; St. Michael's Hospital; Mount Sinai Hospital","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"HeLa; Proteome; Chemistry; Biomarker; Mass spectrometry; Tandem mass spectrometry; Proteomics; Chromatography; Biomarker discovery; Cervical cancer; Endometrial cancer; Liquid chromatography–mass spectrometry; Cancer; Molecular biology; Biochemistry; Biology; Cell; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.005731076,0.0001393421,0.000288541,0.0009270149,0.0002197105,0.00006180594,0.0002906462,0.0001580118,0.00005078857],"category_scores_gemma":[0.0003310299,0.0001173574,0.0001401968,0.0008792788,0.0002964581,0.00002165773,0.0001287096,0.0004749983,8.524356e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047327,"about_ca_system_score_gemma":0.0003334648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991137,"about_ca_topic_score_gemma":0.00003395942,"domain_scores_codex":[0.9968846,0.0003423938,0.0007395776,0.0002814154,0.00119541,0.0005565385],"domain_scores_gemma":[0.9981734,0.00008043826,0.0003895227,0.0002314435,0.0008058379,0.0003193461],"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":[0.001666429,0.0001225293,0.002851997,0.00008763278,0.0001508767,0.0000279896,0.00001089466,0.00001058702,0.9946584,0.00000682311,0.0002078137,0.0001979886],"study_design_scores_gemma":[0.00202917,0.001165655,0.003295731,0.00009727276,0.00001457707,0.0000416783,0.0000391746,0.0001657862,0.9928984,0.00005366216,0.0000849513,0.0001139271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945943,0.001903816,0.002681324,0.0001016193,0.00006060541,0.0006020682,0.00002772099,0.000002461113,0.00002613853],"genre_scores_gemma":[0.9977196,0.0001920084,0.001580638,0.000007412892,0.0003267582,0.00001142099,0.000008509525,0.00002421719,0.0001294754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005400047,"threshold_uncertainty_score":0.4785694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364023089808249,"score_gpt":0.3770531699578509,"score_spread":0.3434129390597684,"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."}}