{"id":"W6920558572","doi":"10.6084/m9.figshare.19501244.v1","title":"Additional file 1 of Supervised promoter recognition: a benchmark framework","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Benchmark (surveying); File format; Data file; SSH File Transfer Protocol; Key (lock); File system","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":[0.001828095,0.002195674,0.001291576,0.0016524,0.0006457422,0.001766616,0.003783428,0.001883336,0.6271675],"category_scores_gemma":[0.01758042,0.0007492529,0.001053281,0.002827845,0.0003685422,0.001833985,0.001555371,0.00155084,0.2549169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010514,"about_ca_system_score_gemma":0.001500381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004964517,"about_ca_topic_score_gemma":0.007734279,"domain_scores_codex":[0.9988788,0.0001830035,0.0001086771,0.000356454,0.0003687047,0.0001043929],"domain_scores_gemma":[0.9933769,0.004368724,0.0001978099,0.0009168279,0.0009176476,0.0002221406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003306465,0.0000852025,0.000739587,0.001072588,0.00004509045,0.0000546263,0.0000168687,0.002770626,0.0005032389,0.0006763978,0.9793758,0.01432931],"study_design_scores_gemma":[0.002393403,0.000482764,0.006290152,0.000692859,0.0001512368,0.0005271875,0.0001445336,0.04361553,0.01048697,0.02155601,0.9135023,0.0001570624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005182602,0.00007925586,0.004191935,0.0001287107,0.00006108559,0.000111745,0.9797132,0.01266386,0.002531996],"genre_scores_gemma":[0.00505066,0.00007522651,0.01095974,0.0001977069,0.000039539,0.0005063514,0.9752841,0.003890167,0.003996496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6271675,"threshold_uncertainty_score":0.5318004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446807221406854,"score_gpt":0.207790380808213,"score_spread":0.1933223085941445,"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."}}