{"id":"W4362731267","doi":"10.1142/9789811267390_0001","title":"MicroRNAs (miRNAs) in cancer proliferation: Molecular interactions and possible therapeutic targets","year":2023,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"microRNA; Cancer; Computational biology; Biology; Cancer research; Genetics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002175165,0.0002858216,0.0002107839,0.0004077751,0.0001735568,0.0001876766,0.0001824989,0.0001609459,0.0001453358],"category_scores_gemma":[0.000006543502,0.0003042568,0.0001135067,0.00006451309,0.0002434178,0.000005618112,0.0001498604,0.0002150206,0.00005326675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007153428,"about_ca_system_score_gemma":0.0002363997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007072906,"about_ca_topic_score_gemma":0.00437406,"domain_scores_codex":[0.998426,0.00003234822,0.0003295868,0.000757792,0.0001918653,0.0002623976],"domain_scores_gemma":[0.9991201,0.0000102305,0.0001657261,0.0004897221,0.0001287562,0.00008545179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004964503,0.00002571887,0.0001401964,0.0001037185,0.0001596132,0.00002393365,0.0001469443,0.00006920287,0.9744893,0.007717136,0.01257145,0.004503177],"study_design_scores_gemma":[0.0004856422,0.00003101868,0.0003948965,0.0003840858,0.00009132157,0.0000141159,0.00001118455,0.0000905768,0.1832803,0.004964807,0.8096451,0.0006069985],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08983594,0.03127909,0.0005264393,0.001149578,0.008066702,0.004558473,0.000718272,0.0002605188,0.863605],"genre_scores_gemma":[0.0903575,0.00001699552,0.00008039922,0.0001189684,0.0001385642,0.00009381433,0.0003749546,0.00007712892,0.9087417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7970736,"threshold_uncertainty_score":0.9999409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400141783704454,"score_gpt":0.28007589768,"score_spread":0.2560744798429554,"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."}}