{"id":"W2586074121","doi":"10.5539/jmbr.v7n1p20","title":"miRNA in Cancer Pathology","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Biology Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Biology; Gene; Computational biology; Translation (biology); Gene expression; Regulation of gene expression; Function (biology); Bioinformatics; Genetics; Messenger RNA","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":[0.001675625,0.00009994305,0.0001999099,0.0002323934,0.0001365807,0.00003524679,0.0007211321,0.0002639919,0.00003733315],"category_scores_gemma":[0.0009355685,0.00008729485,0.0001151584,0.00006712157,0.0004236481,0.000006613531,0.0002875185,0.0003672603,0.000006819177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004751686,"about_ca_system_score_gemma":0.0003107642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004204559,"about_ca_topic_score_gemma":0.000067493,"domain_scores_codex":[0.9984384,0.0004696427,0.0003224284,0.0002288749,0.0001813699,0.0003593092],"domain_scores_gemma":[0.9985886,0.00002123333,0.0002767471,0.0005430402,0.0004648051,0.0001055538],"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":[0.0001800021,0.00006908203,0.04010288,0.000009012521,0.00004516235,0.0002044222,0.00001443962,0.00002687371,0.9551153,0.0002086149,0.0006729416,0.003351226],"study_design_scores_gemma":[0.001635692,0.0007186692,0.1298823,0.00006224943,0.00001396188,0.0002472468,0.00003314795,0.00001913672,0.8500375,0.003112667,0.01406177,0.0001756726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925501,0.004658891,0.0005110743,0.00138173,0.0002063235,0.000119018,0.00000702605,0.000001154281,0.0005646895],"genre_scores_gemma":[0.9983073,0.0006963364,0.0005085163,0.00008031345,0.000255159,0.00001105622,0.000007615879,0.00001615237,0.0001175793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1050778,"threshold_uncertainty_score":0.3559781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683641872946418,"score_gpt":0.4521751144264739,"score_spread":0.3953386956970097,"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."}}