{"id":"W6902273620","doi":"10.6084/m9.figshare.19501244","title":"Additional file 1 of Supervised promoter recognition: a benchmark framework","year":2022,"lang":"en","type":"article","venue":"Open MIND","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":[0.001935551,0.002111405,0.001206964,0.001604419,0.0006173463,0.001699683,0.003698664,0.001936593,0.6017807],"category_scores_gemma":[0.01967491,0.0006730509,0.0009748827,0.002660817,0.0003624455,0.001790452,0.001550995,0.001512022,0.2235343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009988882,"about_ca_system_score_gemma":0.001511947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005385025,"about_ca_topic_score_gemma":0.008221423,"domain_scores_codex":[0.9988517,0.000201036,0.0001176006,0.0003496526,0.0003756975,0.0001042842],"domain_scores_gemma":[0.9922345,0.005228302,0.0002173199,0.001009229,0.001076337,0.0002343898],"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":[0.0003667273,0.0001082513,0.0008972074,0.001070227,0.00004530527,0.00006413467,0.00001863731,0.003132565,0.000494322,0.0007358236,0.9762683,0.01679849],"study_design_scores_gemma":[0.002731238,0.0005660769,0.007088892,0.0007284174,0.000157728,0.0005690273,0.0001729685,0.05702506,0.01078308,0.02340239,0.8966151,0.0001600369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0006430713,0.00008172094,0.004628708,0.0001551048,0.00006747006,0.0001377275,0.9795654,0.01185788,0.00286294],"genre_scores_gemma":[0.006213847,0.00007722133,0.01219422,0.0002022426,0.00004497485,0.0005766578,0.9730918,0.003196706,0.004402312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6017807,"threshold_uncertainty_score":0.5680115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633129642014811,"score_gpt":0.2399060768556913,"score_spread":0.2235747804355432,"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."}}