{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001173456,0.001458233,0.001764214,0.002328804,0.0007393175,0.002253953,0.002122597,0.001758195,0.4625556],"category_scores_gemma":[0.01265696,0.0005879177,0.001449178,0.003989013,0.0003005977,0.00127277,0.001321009,0.001217381,0.09855927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117495,"about_ca_system_score_gemma":0.002324911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00788046,"about_ca_topic_score_gemma":0.01602506,"domain_scores_codex":[0.9992893,0.00009609042,0.0001248017,0.0002338297,0.0001417871,0.0001141823],"domain_scores_gemma":[0.994141,0.003929632,0.0004688261,0.0004464083,0.0007559765,0.0002581127],"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":[0.0004081595,0.00005008592,0.00320187,0.007091368,0.0001683793,0.00006943668,0.00004472254,0.000564712,0.000280812,0.0006574434,0.9818457,0.005617269],"study_design_scores_gemma":[0.003466867,0.0001354178,0.02105496,0.004007787,0.0004963259,0.0003752046,0.000174863,0.0008980596,0.001127142,0.005197884,0.962965,0.0001004546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005029051,0.00003116798,0.00003057875,0.00002694443,0.000004619494,0.00001027292,0.9996287,0.00005838872,0.0001590197],"genre_scores_gemma":[0.001143072,0.0001016675,0.000409651,0.0001287086,0.00001023865,0.000273016,0.9968971,0.0001110705,0.0009254811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4625556,"threshold_uncertainty_score":0.7665992,"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."}}