{"id":"W4220695330","doi":"10.1101/2022.03.14.484339","title":"Genetic engineering of <i>Acidithiobacillus ferridurans</i> with CRISPR-Cas9/dCas9 systems","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cas9; CRISPR; Gene; Acidithiobacillus ferrooxidans; Subgenomic mRNA; Biology; Genome editing; Guide RNA; Computational biology; Acidithiobacillus; Synthetic biology; Genetics; Chemistry","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":[0.0002930709,0.0007603068,0.0004905853,0.0003853358,0.0002183813,0.0004387184,0.0006154648,0.0003959232,0.0008127305],"category_scores_gemma":[0.0002532904,0.0002508604,0.0005650718,0.0003230103,0.0002195385,0.0002314127,0.0004921952,0.000695462,0.000474344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198764,"about_ca_system_score_gemma":0.000310049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439818,"about_ca_topic_score_gemma":0.001486035,"domain_scores_codex":[0.9996071,0.00004331587,0.00006466478,0.00009445837,0.0001322727,0.00005811658],"domain_scores_gemma":[0.9998183,0.00001839354,0.00007999215,0.00002523511,0.00002597889,0.0000321537],"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":[0.00002268602,0.00001697597,0.0001182972,0.00004481406,0.000007534521,0.00005084868,0.00001363557,0.0001137445,0.9979113,0.0001360542,0.00005849534,0.001505596],"study_design_scores_gemma":[0.00001131802,0.0001008337,0.001256687,0.000007644579,0.0000225083,0.00024926,0.00002391499,0.001905028,0.9910363,0.00005125864,0.005320279,0.00001490636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326807,0.001285712,0.05853463,0.0002508425,0.0001458309,0.000273752,0.001895168,0.001455495,0.003477812],"genre_scores_gemma":[0.9533818,0.000737762,0.03780199,0.00007895147,0.0000180261,0.0001571204,0.002848194,0.000233224,0.004742852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001439818,"threshold_uncertainty_score":0.003046393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009280582321676646,"score_gpt":0.1840885146828518,"score_spread":0.1748079323611752,"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."}}