{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614602,0.0001231301,0.0002297541,0.0005435277,0.0001515763,0.0002633099,0.0000867444,0.0001426677,0.0009697732],"category_scores_gemma":[0.0003771957,0.0001485339,0.0001282872,0.0003637948,0.0001307873,0.00008450088,0.0001343075,0.0002073704,0.000359225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325663,"about_ca_system_score_gemma":0.000143447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005901035,"about_ca_topic_score_gemma":0.001306142,"domain_scores_codex":[0.9998554,0.00002589738,0.00001094823,0.0000319665,0.0000540653,0.00002160842],"domain_scores_gemma":[0.9998294,0.00003741873,0.00004072267,0.00001697033,0.00005112202,0.00002427081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003361671,0.00001310389,0.0101576,0.00006417697,0.00001303603,0.0002597993,0.00004659397,0.00007373169,0.9855418,0.00004285881,0.00003788088,0.003413333],"study_design_scores_gemma":[0.00002734313,0.0007962626,0.3997293,0.00002424224,0.00009967917,0.00522101,0.0003937938,0.002637811,0.588147,0.00013202,0.002777976,0.00001358003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930111,0.001586245,0.00293069,0.00002594325,0.00001017284,0.00003818349,0.0004276366,0.00004789995,0.0019222],"genre_scores_gemma":[0.9935136,0.000870007,0.003297564,0.00003362928,0.000007315951,0.00004922462,0.0006393372,0.00002239343,0.001566914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009697732,"threshold_uncertainty_score":0.003244221,"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."}}