{"id":"W4387944309","doi":"10.52843/cassyni.44vfhg","title":"Coding bacterial genetic information into structural attributes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Promoter; Genetics; Biology; Gene; Computational biology; Transcription (linguistics); Coding region; Sigma factor; Transcription factor; DNA; Response element; Gene expression","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":[0.0001918783,0.0005073657,0.0002047395,0.0009548969,0.0001646679,0.0005116143,0.0001946048,0.0002851901,0.004543383],"category_scores_gemma":[0.001450514,0.0001080803,0.0002787407,0.001641434,0.0002406062,0.0004203289,0.0003079215,0.0003810394,0.0017268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691102,"about_ca_system_score_gemma":0.0003237805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004736773,"about_ca_topic_score_gemma":0.0004655888,"domain_scores_codex":[0.9996588,0.00004631683,0.00003691136,0.00008160563,0.0001436545,0.0000327268],"domain_scores_gemma":[0.9994128,0.0001856578,0.00007270776,0.0001823364,0.0001201193,0.00002644732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001503752,0.0003094648,0.02175047,0.001092184,0.00006771342,0.0004964413,0.0003962296,0.02026704,0.5560434,0.04007832,0.005656795,0.3523382],"study_design_scores_gemma":[0.00008290989,0.0009126143,0.08765731,0.0002492733,0.0001381073,0.001478027,0.0004973241,0.09578002,0.5434881,0.07499543,0.194607,0.000113913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6078721,0.001134822,0.2963677,0.0003214053,0.0002990979,0.0002686639,0.06563856,0.004506301,0.02359128],"genre_scores_gemma":[0.797056,0.000932475,0.1321436,0.00009647623,0.00005439234,0.0001930282,0.06080147,0.0005407351,0.008181985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004543383,"threshold_uncertainty_score":0.01519918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008383786202715838,"score_gpt":0.228961440857996,"score_spread":0.2205776546552801,"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."}}