{"id":"W4394112812","doi":"10.6084/m9.figshare.22599170","title":"Additional file 6 of FZD1/KLF10-hsa-miR-4762-5p/miR-224-3p-circular RNAs axis as prognostic biomarkers and therapeutic targets for glioblastoma: a comprehensive report","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Kruppel-like factors research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Glioblastoma; Cancer research; microRNA; Biology; Computational biology; Gene; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006607557,0.0005887916,0.0006030581,0.0002654448,0.0001702144,0.00007844865,0.0006313796,0.0008557247,0.728062],"category_scores_gemma":[0.00808042,0.0005955184,0.0003891823,0.0002570941,0.000121651,0.000008437844,0.0006528469,0.0003709154,0.001988459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006054333,"about_ca_system_score_gemma":0.0008790258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005472608,"about_ca_topic_score_gemma":0.000101971,"domain_scores_codex":[0.9967594,0.0001318378,0.000596165,0.001177964,0.0006505589,0.0006840385],"domain_scores_gemma":[0.9961164,0.001161416,0.000554976,0.001000866,0.0008999956,0.0002663493],"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":[0.0001635264,0.0001117481,0.000001552776,0.001432962,0.0007724142,0.0002881286,0.000007641946,0.00000141913,0.001118412,8.344721e-8,0.9957987,0.000303394],"study_design_scores_gemma":[0.0004705062,0.0007544784,0.0002905421,0.001420332,0.00006642468,0.0002895984,0.00004370409,0.00002608407,0.001701127,0.00002834994,0.9943298,0.0005790619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003177451,0.001159079,8.012458e-7,0.00003932207,0.00009257492,0.001592356,0.9970067,0.00003642498,0.00004099248],"genre_scores_gemma":[0.00003660021,0.00003333327,0.0001007459,0.0001362462,0.0003264738,0.004400916,0.9939783,0.0001157203,0.000871628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7260736,"threshold_uncertainty_score":0.9996496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079181891281725,"score_gpt":0.3030465720121637,"score_spread":0.2722547530993464,"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."}}