{"id":"W2899008101","doi":"10.1021/acssynbio.8b00339","title":"A Highly Characterized Synthetic Landing Pad System for Precise Multicopy Gene Integration in Yeast","year":2018,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Metabolic engineering; Synthetic biology; Gene; Computational biology; Biology; Genome engineering; CRISPR; Genetics; Saccharomyces cerevisiae; Transformation (genetics); DNA; Cas9","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004352912,0.0006297664,0.0004357028,0.0003885721,0.0003062273,0.0005208652,0.0007025878,0.0004522895,0.001250558],"category_scores_gemma":[0.0003602698,0.0003685338,0.0004364063,0.0002898584,0.0002628406,0.0003014274,0.0005596058,0.001039842,0.00130829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802898,"about_ca_system_score_gemma":0.0003453254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007702836,"about_ca_topic_score_gemma":0.001054491,"domain_scores_codex":[0.9996504,0.00004763298,0.00005289524,0.00007890888,0.0001384271,0.00003172284],"domain_scores_gemma":[0.9997786,0.00004086478,0.00004409401,0.00006188075,0.00002866009,0.00004602233],"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":[0.00004012247,0.00002838556,0.00009281058,0.00004458242,0.000005493139,0.0000462933,0.00002347185,0.0002392045,0.9943383,0.0002111625,0.00008632354,0.004843996],"study_design_scores_gemma":[0.00001345317,0.0001442309,0.0003851821,0.000005459614,0.00001020808,0.0002042051,0.00001270986,0.001838464,0.9893165,0.00006690717,0.007985473,0.00001727851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4779669,0.001447781,0.5057296,0.0003411089,0.0001947693,0.0008913612,0.004353438,0.005742297,0.003332751],"genre_scores_gemma":[0.6333624,0.001375678,0.3469676,0.0001135559,0.00002738824,0.0006724896,0.008685987,0.0008479976,0.007947003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001250558,"threshold_uncertainty_score":0.004183531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545675598342993,"score_gpt":0.2562646184835357,"score_spread":0.2408078625001057,"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."}}