{"id":"W6945283674","doi":"10.24433/co.5961252.v1","title":"CoBE_DESeq2 cfMeDIPseq","year":2022,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Data source; Identification (biology); Natural (archaeology); Order (exchange)","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":[0.0002430959,0.000398285,0.0004323495,0.0004892779,0.00007847339,0.00003684924,0.0007867568,0.0002390226,0.24929],"category_scores_gemma":[0.00009331949,0.000425569,0.0001444753,0.000393977,0.0001314178,0.00002329481,0.0003331105,0.000565554,0.04735129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870098,"about_ca_system_score_gemma":0.0001351151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007097453,"about_ca_topic_score_gemma":0.0001583979,"domain_scores_codex":[0.9979894,0.0001282607,0.000198671,0.0005866511,0.0006458485,0.000451203],"domain_scores_gemma":[0.9984437,0.00003468909,0.00025686,0.001069927,0.0000205145,0.0001743189],"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":[0.00001005198,0.00005306571,0.0003971509,0.00005407095,0.00009469114,0.0001579328,0.00005567987,0.000001722764,0.00001855633,0.001130662,0.9978493,0.0001771028],"study_design_scores_gemma":[0.0003988122,0.00002930834,0.00005058766,0.00004660953,0.00007048198,0.00002260794,0.00004613924,0.00002139343,0.000008371017,0.0001090175,0.9987298,0.0004668694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002499345,0.001999903,0.000005890877,0.00005331992,0.0009162955,0.000387455,0.003487966,0.002107309,0.9910169],"genre_scores_gemma":[0.0004185132,0.00004604997,0.000172808,0.0003039922,0.0008750696,0.00001542772,0.001525513,0.005340095,0.9913025],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2019387,"threshold_uncertainty_score":0.9998196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077219027456684,"score_gpt":0.2647721467596744,"score_spread":0.2439999564851075,"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."}}