{"id":"W3041964193","doi":"10.1139/bcb-2019-0336","title":"MiR-448 targets BLC2 and inhibits the growth of pituitary adenoma cells","year":2020,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Pituitary adenoma; Adenoma; Apoptosis; Cell growth; Cancer research; Biology; microRNA; Pituitary gland; Pituitary tumors; Internal medicine; Endocrinology; Pathology; Medicine; Gene; Biochemistry; Hormone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645605,0.0004294714,0.0003799676,0.0004806249,0.0003637466,0.0004648531,0.0002105712,0.0003659438,0.002272481],"category_scores_gemma":[0.0002230715,0.0001675062,0.0003385718,0.0002510477,0.0001948783,0.0001471836,0.0003104622,0.0007018927,0.0009223656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760676,"about_ca_system_score_gemma":0.0005116877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673732,"about_ca_topic_score_gemma":0.002129022,"domain_scores_codex":[0.999798,0.00002482488,0.00001489681,0.00003152731,0.00008404389,0.00004671069],"domain_scores_gemma":[0.9999061,0.00001818465,0.00001600968,0.00001246929,0.00001786333,0.00002942525],"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":[0.0003166419,0.0001222932,0.0006307166,0.0001549791,0.00002046922,0.0001878172,0.00002868751,0.0003066653,0.9899594,0.0002330565,0.000889051,0.00715031],"study_design_scores_gemma":[0.00009582622,0.0004912756,0.008537511,0.00001930578,0.0000380296,0.0006535915,0.00007381033,0.004358538,0.9463652,0.000179772,0.03917073,0.00001652333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560312,0.01461814,0.008631858,0.001019704,0.0004663322,0.0001846508,0.001925036,0.001146668,0.01597646],"genre_scores_gemma":[0.9812412,0.003794267,0.003638589,0.0004635187,0.00004710592,0.0001175824,0.0022664,0.00009207959,0.008339288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002272481,"threshold_uncertainty_score":0.007602215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005791867095338269,"score_gpt":0.1959925332275505,"score_spread":0.1902006661322122,"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."}}