{"id":"W2771661958","doi":"10.1093/carcin/bgx134","title":"MicroRNA-128-3p-mediated depletion of Drosha promotes lung cancer cell migration","year":2017,"lang":"en","type":"article","venue":"Carcinogenesis","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"Aboca S.p.A. Società Agricola; Associazione Italiana per la Ricerca sul Cancro; ArcelorMittal","keywords":"Drosha; Dicer; microRNA; Biology; Downregulation and upregulation; Cancer research; Lung cancer; Cancer; Epithelial–mesenchymal transition; Phenotype; Ribonuclease III; Metastasis; RNA interference; Transfection; Pathology; Cell culture; Small interfering RNA; Genetics; Medicine; Gene; RNA","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":[0.0001482442,0.0002210888,0.0001800199,0.0001611684,0.0001205867,0.0002103814,0.0001441534,0.0001958894,0.001297899],"category_scores_gemma":[0.0001096328,0.0001395029,0.0002167841,0.00007667855,0.0001565907,0.0001234764,0.0001815186,0.0006211125,0.0004162849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001327758,"about_ca_system_score_gemma":0.0002037306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714086,"about_ca_topic_score_gemma":0.0003442483,"domain_scores_codex":[0.9998596,0.00003304722,0.00001605321,0.00002510741,0.00003274083,0.00003334058],"domain_scores_gemma":[0.9999274,0.00001654362,0.000013344,0.00001211239,0.000007134292,0.00002349296],"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":[0.00008633259,0.00003238756,0.0001083966,0.0000239844,0.000003750177,0.00004122963,0.000008124304,0.00003750126,0.9985689,0.00007845214,0.00008464768,0.0009262991],"study_design_scores_gemma":[0.00004052114,0.000479355,0.003568772,0.000007671625,0.00001119593,0.0003184818,0.00002467541,0.002222835,0.989617,0.00008804612,0.003616357,0.000005161313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914433,0.001715641,0.002831232,0.0001604701,0.00007401344,0.00004588837,0.0003307689,0.0001131234,0.003285548],"genre_scores_gemma":[0.9965323,0.0005100909,0.001108657,0.00005232095,0.000008060844,0.00003469398,0.0002934921,0.00000980993,0.001450474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001297899,"threshold_uncertainty_score":0.0043419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050959280417105,"score_gpt":0.2579540075771686,"score_spread":0.2474444147729976,"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."}}