{"id":"W4394286516","doi":"10.6084/m9.figshare.22599173","title":"Additional file 7 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; microRNA; Medicine; Biology; Cancer research; 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":[0.001466551,0.001406544,0.001734333,0.002155165,0.0007078414,0.002059364,0.002117208,0.001634806,0.4807857],"category_scores_gemma":[0.01561801,0.000590539,0.001545048,0.003724597,0.0003109928,0.001197463,0.001220486,0.001172752,0.09672113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122833,"about_ca_system_score_gemma":0.002288927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006848391,"about_ca_topic_score_gemma":0.01424389,"domain_scores_codex":[0.9991969,0.0001190125,0.0001445541,0.0002574237,0.0001574982,0.0001245101],"domain_scores_gemma":[0.9917428,0.005771757,0.000604712,0.000605357,0.0009550735,0.0003202755],"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":[0.0004716637,0.0000560708,0.003869245,0.005651494,0.0001877256,0.0000648862,0.00004125894,0.000616384,0.0002422705,0.0005621124,0.9824136,0.005823269],"study_design_scores_gemma":[0.005151849,0.0002054005,0.02886895,0.004209545,0.0006768278,0.0004735575,0.0001988952,0.001340376,0.001297441,0.006640707,0.9508104,0.0001259806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006319601,0.00002681796,0.0000406252,0.00002864034,0.000005153761,0.00001181928,0.9996198,0.00006540946,0.0001384802],"genre_scores_gemma":[0.001529135,0.00008795978,0.0005003089,0.0001534217,0.00001415031,0.0003580753,0.9961904,0.0001414517,0.001025055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4807857,"threshold_uncertainty_score":0.7405962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083050490674819,"score_gpt":0.3031138310171923,"score_spread":0.2722833261104441,"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."}}