{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006734026,0.0004496595,0.0005931389,0.0004908578,0.0002431192,0.0007289894,0.000474893,0.001058679,0.002254217],"category_scores_gemma":[0.0003409404,0.0001666464,0.0003168311,0.0002430866,0.000497909,0.0007093236,0.0004721255,0.001085482,0.00105801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830198,"about_ca_system_score_gemma":0.000467143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974769,"about_ca_topic_score_gemma":0.000389858,"domain_scores_codex":[0.9998034,0.00006067821,0.00001349035,0.00003025388,0.00006683756,0.000025356],"domain_scores_gemma":[0.9999075,0.00002776764,0.00001480538,0.000004658929,0.00002285947,0.00002236301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007381086,0.0002950101,0.001528798,0.00125935,0.00009454427,0.0009479602,0.0001443931,0.001537912,0.3327224,0.03013119,0.01491815,0.6156821],"study_design_scores_gemma":[0.000242512,0.002468323,0.00159598,0.0002539505,0.0003156286,0.005593888,0.000179786,0.008806034,0.3262848,0.01466135,0.639524,0.00007376081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07473238,0.7277858,0.1283912,0.02504894,0.003841059,0.0002917485,0.0002854172,0.001476229,0.03814724],"genre_scores_gemma":[0.3809368,0.4305579,0.1444879,0.01420834,0.002858351,0.000506287,0.0006120984,0.0001783101,0.02565384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002254217,"threshold_uncertainty_score":0.00754112,"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."}}