{"id":"W6940200939","doi":"10.6084/m9.figshare.c.5928275.v1","title":"Supervised promoter recognition: a benchmark framework","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Benchmark (surveying); Benchmarking; Deep learning; Process (computing); Reliability (semiconductor); Supervised learning","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":[],"consensus_categories":[],"category_scores_codex":[0.00412861,0.001542888,0.000899084,0.001855947,0.0005319544,0.001486402,0.003218645,0.001866771,0.001951255],"category_scores_gemma":[0.007353748,0.0003206946,0.001212409,0.001701106,0.0009048471,0.001485428,0.001405649,0.00141949,0.001175723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558914,"about_ca_system_score_gemma":0.001611485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008477889,"about_ca_topic_score_gemma":0.008405149,"domain_scores_codex":[0.9976152,0.000817084,0.0001315672,0.0007900422,0.0004753911,0.0001707823],"domain_scores_gemma":[0.995804,0.001510938,0.0003296987,0.0008551396,0.001280164,0.0002200825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006302205,0.0005299708,0.007634864,0.0006051043,0.0002230773,0.0002083506,0.00006232755,0.7802678,0.008988581,0.01278742,0.0219324,0.1661299],"study_design_scores_gemma":[0.00002707762,0.0001072144,0.0008591478,0.00002661321,0.00001457418,0.00004871179,0.00002647363,0.9789004,0.008202467,0.008480128,0.003289967,0.00001714046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2547081,0.008102005,0.6775919,0.001853986,0.0004735767,0.0004384286,0.02236521,0.01887029,0.01559653],"genre_scores_gemma":[0.6150841,0.001357052,0.3198955,0.0004360214,0.0001482692,0.0006067634,0.05657939,0.0007005988,0.005192281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008477889,"threshold_uncertainty_score":0.02183443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356546185065686,"score_gpt":0.22249066170228,"score_spread":0.1889251998516231,"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."}}