{"id":"W1995344604","doi":"10.1158/1538-7445.am2014-1458","title":"Abstract 1458: The precursor miR-138/2, but not miR-138/1, targets p53 mRNA and contributes to the acquisition of melanoma metastatic phenotype: Are the miRNAs precursors important to direct mature miRNA to mRNA targets","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"microRNA; Biology; Melanoma; Cancer research; Phenotype; Context (archaeology); Metastasis; Cancer; Anoikis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009576732,0.0004245416,0.0002960293,0.0002284838,0.0001955591,0.0003663308,0.0002380065,0.0003731996,0.005114637],"category_scores_gemma":[0.0001426592,0.000185958,0.0003182956,0.0001111112,0.0002107008,0.0003149006,0.0001795227,0.0007447717,0.001581121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307996,"about_ca_system_score_gemma":0.0002469565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004186077,"about_ca_topic_score_gemma":0.0003250352,"domain_scores_codex":[0.9998618,0.00001560493,0.00001138947,0.00004528478,0.0000432625,0.00002258217],"domain_scores_gemma":[0.9998707,0.00001460468,0.00003691943,0.00001007704,0.00001882018,0.0000488709],"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":[0.0001162089,0.00002069366,0.0003034827,0.00004551522,0.000003379445,0.00008460523,0.000006804022,0.00001725747,0.9983662,0.00008592231,0.00007805684,0.0008719724],"study_design_scores_gemma":[0.00003258797,0.0002599313,0.008008682,0.00001181229,0.0000259044,0.001223518,0.00003008192,0.000787606,0.9827278,0.0001384609,0.006747901,0.000005676685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823215,0.003482956,0.007240069,0.0004739227,0.0002305337,0.00006186732,0.001386032,0.0002776355,0.004525518],"genre_scores_gemma":[0.9841177,0.001167185,0.003290531,0.0001288449,0.00005755963,0.00004649546,0.001439628,0.00007930429,0.009672604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005114637,"threshold_uncertainty_score":0.01711017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958311261977476,"score_gpt":0.3155866394336914,"score_spread":0.2960035268139167,"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."}}