{"id":"W2902080644","doi":"10.1097/cmr.0000000000000545","title":"Loss of miR-155 upregulates WEE1 in metastatic melanoma","year":2018,"lang":"en","type":"article","venue":"Melanoma Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute","keywords":"Wee1; Melanoma; Gene silencing; Cancer research; microRNA; Suppressor; Phenotype; Medicine; Metastasis; Metastatic melanoma; Population; Oncology; Cancer; Biology; Cell cycle; Internal medicine; Gene; Cyclin-dependent kinase 1; Genetics","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":[0.0007708916,0.0001164521,0.0001728624,0.0001795655,0.00004822428,0.00001586184,0.0003004496,0.00009136846,0.0001244991],"category_scores_gemma":[0.0001531001,0.0001093407,0.00005559367,0.0003029306,0.0002624771,0.000002984151,0.0001954727,0.0001389567,0.00004704043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001647951,"about_ca_system_score_gemma":0.00007412844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101204,"about_ca_topic_score_gemma":0.000257694,"domain_scores_codex":[0.9986061,0.0001316212,0.000241262,0.000306561,0.0002830279,0.0004314175],"domain_scores_gemma":[0.9992332,0.00004674526,0.00002613197,0.0004299328,0.0001807519,0.00008324929],"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":[0.0001704748,0.00012111,0.03658846,0.00009661498,0.00006887905,0.00003442262,0.0002956979,0.00007436555,0.95681,0.0002621734,0.001637459,0.00384033],"study_design_scores_gemma":[0.0006377847,0.0007752809,0.04326386,0.00003379864,0.000005876801,0.00002946513,0.0001822545,0.0004218052,0.9418837,0.0002756384,0.01233548,0.0001549878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951284,0.001276236,0.0005972768,0.0001159266,0.0000862301,0.0001898175,0.00001143681,0.000006069051,0.002588616],"genre_scores_gemma":[0.99756,0.00006659736,0.001079976,0.000009528759,0.0001780435,0.00002419957,0.0000249791,0.00002302411,0.001033666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01492625,"threshold_uncertainty_score":0.4458783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179498572432186,"score_gpt":0.3865553176741381,"score_spread":0.3547603319498162,"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."}}