{"id":"W2001020067","doi":"10.3747/co.v17i1.356","title":"Microrna Let-7: An Emerging Next-Generation Cancer Therapeutic","year":2010,"lang":"en","type":"article","venue":"Current Oncology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Cancer; Medicine; Cancer research; Breast cancer; Cancer stem cell; Estrogen receptor; Cancer cell; Bioinformatics; Lung cancer; Computational biology; Biology; Oncology; Internal medicine; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260302,0.0001387539,0.0001169116,0.00004491725,0.00009886674,0.00002708198,0.0001706996,0.000184701,0.0002192835],"category_scores_gemma":[0.0000238089,0.0001382283,0.00006247619,0.00006081007,0.0000790976,0.00001026626,0.00005210116,0.0001726478,0.00001874103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003948809,"about_ca_system_score_gemma":0.0001996525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001346573,"about_ca_topic_score_gemma":0.0004641257,"domain_scores_codex":[0.9990718,0.00009014007,0.0001845704,0.0003505496,0.0000780219,0.0002249175],"domain_scores_gemma":[0.9993583,0.000005432536,0.0001059691,0.000315603,0.0001109003,0.0001037853],"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":[0.00002217909,0.000136327,0.002204663,0.000008063053,0.00001892337,5.331763e-7,0.00005257419,0.00002565164,0.8408703,0.0001211525,0.002019556,0.1545201],"study_design_scores_gemma":[0.0005047548,0.0001516393,0.00578833,0.000004727641,0.00004032969,0.00001134933,0.00002457992,0.001490811,0.2836244,0.00007093027,0.7080731,0.0002150257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921275,0.003449064,0.0007554257,0.0003824536,0.002896421,0.0001895528,0.00001405589,0.00002080954,0.000164712],"genre_scores_gemma":[0.9963112,0.0003186009,0.0003282222,0.0002072116,0.002257739,0.00006630679,0.0004207687,0.00002411767,0.00006583109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7060536,"threshold_uncertainty_score":0.5636785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169849901646274,"score_gpt":0.4025961407083621,"score_spread":0.2856111505437348,"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."}}