{"id":"W6894221450","doi":"10.5683/sp2/ld8jkj","title":"RPmirDIP Predictions of ~6 Million miRNA-Gene Pairs","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Percentile; Cutoff; Set (abstract data type); Data set; Perspective (graphical); Value (mathematics); Reciprocal","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":[],"category_scores_codex":[0.000274062,0.000512087,0.0007665069,0.0004735909,0.0001066879,0.00003551115,0.0008397378,0.0005440793,0.0002299879],"category_scores_gemma":[0.0004066182,0.0005193113,0.0003831608,0.0007982407,0.0002133718,0.0001053028,0.0002442753,0.0005272254,0.001220399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893634,"about_ca_system_score_gemma":0.0002735394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08399233,"about_ca_topic_score_gemma":0.01850869,"domain_scores_codex":[0.9970384,0.0002145163,0.0007615191,0.0006594866,0.0009053539,0.0004206986],"domain_scores_gemma":[0.9971649,0.00009375451,0.0006578754,0.001528847,0.0002245862,0.0003300566],"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":[0.00008276567,0.0001654879,0.0000138816,0.0002103531,0.0003253895,0.00006042367,0.00003987439,0.00004801914,0.0002300339,0.000009503803,0.9987637,0.00005055152],"study_design_scores_gemma":[0.0004334904,0.0001615396,0.001049926,0.0001349654,0.0006615691,0.00002246093,0.00002496497,0.00002964337,0.0005767088,0.00004067962,0.996462,0.0004019775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003033977,0.0002866703,0.00002108876,0.0001705402,0.000275877,0.000545699,0.9979037,0.000276615,0.000516797],"genre_scores_gemma":[0.00002067738,0.0006394564,0.0002188981,0.0001315083,0.0006777128,0.0001213149,0.9979924,0.0001644254,0.00003359902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06548364,"threshold_uncertainty_score":0.9997258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610833380724039,"score_gpt":0.2638733129455689,"score_spread":0.2377649791383285,"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."}}