{"id":"W3076032935","doi":"10.1097/cmr.0000000000000692","title":"Tissue microRNA expression profiling in hepatic and pulmonary metastatic melanoma","year":2020,"lang":"en","type":"article","venue":"Melanoma Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. National Library of Medicine; National Cancer Institute","keywords":"Melanoma; microRNA; Medicine; Metastasis; Cancer research; Downregulation and upregulation; Metastatic melanoma; Lung; Lung cancer; Pathology; Differential diagnosis; Cancer; Gene expression; Oncology; Gene; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005118927,0.000136629,0.000163029,0.0001076555,0.00008810232,0.00004281312,0.0002039765,0.00009575434,0.00004580262],"category_scores_gemma":[0.0002670098,0.000130134,0.00003031482,0.0002440497,0.0001054227,0.000009069201,0.0003081985,0.0002015249,0.00004225329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002720618,"about_ca_system_score_gemma":0.00009435292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003021224,"about_ca_topic_score_gemma":0.0000105919,"domain_scores_codex":[0.9982416,0.0003837275,0.0002372932,0.0004892548,0.0002815774,0.0003665722],"domain_scores_gemma":[0.9993758,0.00004620279,0.00004212719,0.000260438,0.00008346508,0.0001920048],"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":[0.0001784375,0.00004963887,0.01901918,0.0001514089,0.00001193293,0.00008258455,0.00008656302,0.00001318126,0.9772087,0.00002225228,0.000331216,0.002844936],"study_design_scores_gemma":[0.0004741595,0.0002503249,0.01645836,0.00004595966,0.000006173409,0.00002338939,0.0001552976,0.001044128,0.9775438,0.000119927,0.003719167,0.0001592559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946776,0.003309909,0.0002739006,0.0006021068,0.00002402574,0.0005282303,0.00001595304,0.00001112261,0.0005571659],"genre_scores_gemma":[0.9973749,0.00009984184,0.001951136,0.0000601054,0.0001360717,0.0000681899,0.0001310804,0.00002993228,0.0001487219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003387951,"threshold_uncertainty_score":0.5306711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513375953789898,"score_gpt":0.3340667104892315,"score_spread":0.2889329509513325,"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."}}