{"id":"W2111722538","doi":"10.3389/fmicb.2014.00380","title":"Engineering processive DNA polymerases with maximum benefit at minimum cost","year":2014,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; University of Alberta; University of Southern California","keywords":"Polymerase; DNA polymerase; DNA; Chemistry; Computational biology; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007044929,0.001012642,0.0008317829,0.0004517884,0.0002281186,0.001272447,0.0007800355,0.001310385,0.0009649474],"category_scores_gemma":[0.001683214,0.0008262478,0.0007466556,0.0004935382,0.0004750154,0.001305327,0.0006845904,0.001410148,0.001232239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007273805,"about_ca_system_score_gemma":0.000597135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807032,"about_ca_topic_score_gemma":0.0003408117,"domain_scores_codex":[0.9992921,0.0001299356,0.00009193284,0.0001577545,0.0002219508,0.0001063104],"domain_scores_gemma":[0.9993662,0.0001756567,0.0002244574,0.00007764344,0.00008869306,0.00006745064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006878727,0.00005483117,0.0002793096,0.0002878328,0.00002412701,0.0000705261,0.00002692523,0.002236551,0.9832887,0.002641801,0.00008426682,0.01093632],"study_design_scores_gemma":[0.00004722298,0.0003797681,0.0003385727,0.00004117802,0.00005286076,0.0003664858,0.00003049149,0.009061143,0.9754282,0.002216174,0.01200875,0.00002916085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4852742,0.01078633,0.4922352,0.00101403,0.0003175614,0.000524299,0.0003518913,0.001223337,0.008273063],"genre_scores_gemma":[0.6435052,0.009698302,0.3405058,0.0003048544,0.00009837147,0.0005020015,0.0004487983,0.0003125422,0.004624273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001310385,"threshold_uncertainty_score":0.005277574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002643564800917049,"score_gpt":0.1785954922920976,"score_spread":0.1759519274911805,"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."}}