{"id":"W1988551553","doi":"10.1016/j.vascn.2003.10.005","title":"Evaluation of a real-time polymerase chain reaction method for the quantification of CYP1B1 gene expression in MCF-7 human breast carcinoma cells","year":2003,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"CYP1B1; Amplicon; Molecular biology; Complementary DNA; Melting curve analysis; Real-time polymerase chain reaction; Agarose gel electrophoresis; SYBR Green I; Biology; Gene expression; MCF-7; Messenger RNA; Polymerase chain reaction; Breast carcinoma; Chemistry; Gene; Breast cancer; Cancer; Cytochrome P450; Biochemistry; Enzyme; Genetics; Human breast","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":[0.02798624,0.0003077305,0.0008741212,0.0002702732,0.0002245509,0.0000138917,0.000371916,0.0004903326,0.0006150167],"category_scores_gemma":[0.0009743004,0.0001916055,0.000327188,0.0004302161,0.0003330158,0.000121386,0.00008088393,0.0008018502,0.000001112673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031994,"about_ca_system_score_gemma":0.0001828347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082807,"about_ca_topic_score_gemma":0.000001007277,"domain_scores_codex":[0.9868236,0.01030045,0.001535163,0.0003776368,0.0005474525,0.0004156635],"domain_scores_gemma":[0.9927813,0.004452724,0.001472814,0.0001635043,0.0008498175,0.0002797827],"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":[0.0009318888,0.002440365,0.0003861228,0.00003311159,0.0002010051,0.000007514629,0.0001785012,0.00103338,0.8978589,0.000511597,0.0001310039,0.09628665],"study_design_scores_gemma":[0.008743698,0.0006129135,0.01077405,0.00001683918,0.0018034,0.000104796,0.0001297797,0.01762893,0.954565,0.003933126,0.001483678,0.0002037249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770285,0.003684575,0.01615241,0.000417012,0.0009610999,0.001217985,0.0000699,0.0000120077,0.000456434],"genre_scores_gemma":[0.9348059,0.001464018,0.06309409,0.0002293559,0.0002360754,0.0001082711,0.000004240532,0.00001741302,0.00004064672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09608293,"threshold_uncertainty_score":0.9699528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2417497870895355,"score_gpt":0.5317668371579236,"score_spread":0.2900170500683881,"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."}}