{"id":"W6965035375","doi":"10.3389/fcell.2020.599494.s001","title":"Table_1_An Eight-CircRNA Assessment Model for Predicting Biochemical Recurrence in Prostate Cancer.docx","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Logistic regression; Immune system; Framingham Risk Score; Prostate; Cancer; Cohort; Tumor microenvironment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000756855,0.001882776,0.0007959552,0.0009717497,0.0004663806,0.001148351,0.001344143,0.0008400216,0.1938881],"category_scores_gemma":[0.002903957,0.0003842256,0.001406927,0.0005198697,0.0001326272,0.0004650375,0.0003960172,0.001000469,0.02373335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007235304,"about_ca_system_score_gemma":0.001330415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313749,"about_ca_topic_score_gemma":0.02059929,"domain_scores_codex":[0.9998736,0.00003292255,0.000009983484,0.00004253285,0.00001862308,0.00002225382],"domain_scores_gemma":[0.9991972,0.0005700049,0.00002448511,0.0000228951,0.0001585493,0.0000268405],"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":[0.001123443,0.0003706281,0.04542316,0.002199108,0.0007542515,0.0006325469,0.0000875538,0.1032471,0.002563838,0.004054607,0.7298024,0.1097414],"study_design_scores_gemma":[0.0008607044,0.0005437169,0.03361935,0.0007180109,0.0006562291,0.0006125279,0.0003045473,0.7349068,0.004017001,0.01154701,0.2120197,0.0001943931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02412636,0.0009096954,0.04690747,0.001803818,0.0007447801,0.000685773,0.9115241,0.006922044,0.006376001],"genre_scores_gemma":[0.177053,0.0009821559,0.09019984,0.001476272,0.0004255949,0.00364275,0.6880329,0.001169134,0.03701843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8061119,"threshold_uncertainty_score":0.6486203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014439010916317,"score_gpt":0.2749136563831895,"score_spread":0.2147692662740263,"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."}}