{"id":"W2980987121","doi":"10.1093/nar/gkz916","title":"PADS Arsenal: a database of prokaryotic defense systems related genes","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Development and Reform Commission; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Genome; Annotation; Gene; Computational biology; Function (biology); Archaea; Database; Genetics; Computer science","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":[0.000841764,0.00238313,0.002158491,0.007209338,0.001201897,0.002696138,0.002403536,0.001689388,0.01327711],"category_scores_gemma":[0.003224957,0.001006435,0.001754603,0.00886256,0.0004236382,0.002375142,0.00338429,0.001655778,0.01710357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888187,"about_ca_system_score_gemma":0.002688423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003491421,"about_ca_topic_score_gemma":0.004486023,"domain_scores_codex":[0.9989524,0.0001146801,0.0002089157,0.0003316375,0.0002649621,0.0001273831],"domain_scores_gemma":[0.9990404,0.0002084181,0.0001862498,0.0002214621,0.0001750885,0.0001683224],"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":[0.004035026,0.0003603811,0.02431346,0.02171976,0.000905956,0.002109969,0.001431311,0.004721881,0.1108053,0.01203549,0.65719,0.1603715],"study_design_scores_gemma":[0.0003204794,0.0001496075,0.01972188,0.0008442669,0.0003933553,0.0008544608,0.0003947774,0.0034851,0.02035396,0.006448523,0.9467971,0.0002365091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01178416,0.004853548,0.0121323,0.0002270759,0.0001655423,0.0001519168,0.9293314,0.03542097,0.005933126],"genre_scores_gemma":[0.01068626,0.001626317,0.01384657,0.000139618,0.00002648407,0.000196691,0.9709486,0.001644259,0.0008851338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01327711,"threshold_uncertainty_score":0.04441637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506572659863608,"score_gpt":0.3074087058478278,"score_spread":0.2723429792491917,"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."}}