{"id":"W4394428291","doi":"10.6084/m9.figshare.8088503","title":"Long non-coding RNA NEAT1 promotes steatosis via enhancement of estrogen receptor alpha-mediated AQP7 expression in HepG2 cells","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Steatosis; Estrogen receptor alpha; Estrogen receptor; Cancer research; Estrogen; Chemistry; Long non-coding RNA; Alpha (finance); Estrogen-related receptor alpha; Non-coding RNA; Cell biology; RNA; Biology; Internal medicine; Endocrinology; Medicine; Biochemistry; Gene; Cancer; Breast cancer","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":[0.0008464414,0.001399323,0.001625256,0.002001846,0.0008827304,0.001522669,0.001525263,0.001227822,0.03134847],"category_scores_gemma":[0.003109684,0.0003284584,0.001785645,0.003155239,0.0002872509,0.0005858656,0.001145441,0.001008132,0.01668713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052211,"about_ca_system_score_gemma":0.001910956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008458767,"about_ca_topic_score_gemma":0.01765024,"domain_scores_codex":[0.999369,0.0001202709,0.00007735835,0.0002437944,0.00009609845,0.00009351368],"domain_scores_gemma":[0.9990228,0.0004991966,0.00009215398,0.0001319124,0.0001757546,0.0000780871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001912051,0.0001783881,0.01485509,0.02322276,0.001335237,0.0004411709,0.0002477865,0.004126483,0.01669549,0.00216502,0.9070869,0.02773366],"study_design_scores_gemma":[0.001916039,0.0002687726,0.04115905,0.001418978,0.001077812,0.000404303,0.0002658415,0.002704532,0.009432722,0.002775096,0.9384285,0.0001483808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00213718,0.0006808444,0.0001669529,0.0001236279,0.00003813837,0.00002736143,0.9956114,0.0004513442,0.0007631414],"genre_scores_gemma":[0.003772949,0.0004166338,0.0008141897,0.0001046956,0.000005577226,0.0002016281,0.993754,0.00008546969,0.0008448756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03134847,"threshold_uncertainty_score":0.1048711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819064164293112,"score_gpt":0.2769084661209402,"score_spread":0.2587178244780091,"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."}}