{"id":"W4394071789","doi":"10.6084/m9.figshare.20222618","title":"Additional file 5 of APEX1 regulates alternative splicing of key tumorigenesis genes in non-small-cell lung cancer","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Carcinogenesis; Gene; Biology; Lung cancer; Alternative splicing; Key (lock); Genetics; Cancer research; RNA splicing; Computational biology; Medicine; Oncology; RNA; Exon","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001031194,0.001736282,0.001700474,0.002062249,0.0008145754,0.002070426,0.001981273,0.001818094,0.411108],"category_scores_gemma":[0.008898103,0.000602002,0.001536769,0.003197568,0.000323389,0.001137538,0.001152305,0.00127178,0.1037606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028969,"about_ca_system_score_gemma":0.001545335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007468726,"about_ca_topic_score_gemma":0.0147388,"domain_scores_codex":[0.9992957,0.00009883515,0.0000849647,0.0002701656,0.0001343427,0.0001159351],"domain_scores_gemma":[0.9950855,0.003379147,0.000321669,0.000468592,0.0005004718,0.0002444735],"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":[0.0003781623,0.00006862516,0.004894117,0.003377292,0.0001444562,0.00009395248,0.00004913553,0.0007496516,0.0004893979,0.0005691674,0.9846513,0.004534649],"study_design_scores_gemma":[0.003611415,0.0001779261,0.03650257,0.001729822,0.0004114958,0.0005735086,0.0001669206,0.001752053,0.002040078,0.00585652,0.9470572,0.0001204088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009637687,0.0000279525,0.00004702515,0.00002449553,0.000006120302,0.000006063623,0.9995143,0.0001178829,0.0001598045],"genre_scores_gemma":[0.001423401,0.00005514967,0.0003956746,0.0000915537,0.00001083752,0.0001278274,0.9969711,0.0001273968,0.0007970486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.411108,"threshold_uncertainty_score":0.8399829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013476396206781,"score_gpt":0.2426902518738306,"score_spread":0.2325554879117628,"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."}}