{"id":"W4394128610","doi":"10.6084/m9.figshare.13637168.v1","title":"miR-202-3p negatively regulates MMP-1 to inhibit the proliferation, migration and invasion of lung adenocarcinoma cells","year":2021,"lang":"en","type":"dataset","venue":"OPAL (Open@LaTrobe) (La Trobe University)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Matrix metalloproteinase; Cancer research; Adenocarcinoma; Lung; Cell biology; Biology; Internal medicine; Medicine; Cancer; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002838772,0.0004131478,0.0004428425,0.0002351816,0.000309615,0.0002851306,0.001068847,0.0004669148,0.00007739102],"category_scores_gemma":[0.0001001672,0.0003946343,0.0001500422,0.0004760945,0.0001856024,0.00005956633,0.001876086,0.0002400889,0.000007738641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083545,"about_ca_system_score_gemma":0.0004607823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005469251,"about_ca_topic_score_gemma":0.002338552,"domain_scores_codex":[0.9977323,0.0004738166,0.0003859226,0.0008753782,0.0002480418,0.0002845383],"domain_scores_gemma":[0.998094,0.00005675008,0.0004417898,0.000865713,0.0003571587,0.0001845729],"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":[0.0004587097,0.0001386668,0.0004740886,0.0001887016,0.0001908662,0.00002996236,0.00009501997,0.0002225033,0.2509765,0.0001366929,0.7469702,0.0001180322],"study_design_scores_gemma":[0.001314224,0.0002689518,0.004252107,0.0002831121,0.0003979692,0.00002351721,0.0001700127,0.00005354696,0.1505248,0.00002924859,0.8421398,0.0005427207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3733233,0.002171259,0.0004805844,0.001358885,0.0003675975,0.004645763,0.6167496,0.00002530875,0.0008776381],"genre_scores_gemma":[0.08955047,0.0008013361,0.001251606,0.0003524983,0.0003295512,0.00002298231,0.9041108,0.00006976323,0.00351095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2873612,"threshold_uncertainty_score":0.9998506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009614371111537273,"score_gpt":0.2208868507347594,"score_spread":0.2112724796232221,"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."}}