{"id":"W2898677375","doi":"10.3390/v10110602","title":"CRISPRStudio: A User-Friendly Software for Rapid CRISPR Array Visualization","year":2018,"lang":"en","type":"article","venue":"Viruses","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"CRISPR; Computer science; Trans-activating crRNA; Computational biology; Biology; Genetics; Genome editing; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009928814,0.0001481306,0.0001175645,0.00004275268,0.0001242391,0.00002950587,0.0001362337,0.0001035251,0.0000457696],"category_scores_gemma":[0.000269656,0.0001447361,0.0000652329,0.0001051418,0.00006011217,0.000005158929,0.00004508453,0.00002900446,0.00002495046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007527283,"about_ca_system_score_gemma":0.00003593439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001056449,"about_ca_topic_score_gemma":0.00003498872,"domain_scores_codex":[0.9991913,0.00001694826,0.0001637371,0.0003003522,0.00008743961,0.0002402068],"domain_scores_gemma":[0.9994171,0.00001724862,0.00004223035,0.0002782985,0.0001826949,0.00006238324],"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":[0.00008475516,0.00004478063,0.001422598,0.0000383103,0.00005736441,3.825348e-7,0.00006805764,0.00003690797,0.9295844,0.0001444223,0.06641459,0.002103379],"study_design_scores_gemma":[0.0002563645,0.0003767192,0.0005191167,0.00000762462,0.00001575115,0.000002195295,0.00004021522,0.00001792948,0.576009,0.00001221493,0.4226134,0.000129559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1054564,0.001106384,0.8923319,0.00003412504,0.0004772531,0.0002662676,0.00005906069,0.00006017333,0.0002084399],"genre_scores_gemma":[0.977309,0.0002224648,0.01925941,0.001027069,0.001501011,0.0001081994,0.0001225915,0.00006908554,0.0003811824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8730724,"threshold_uncertainty_score":0.5902166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677456738742944,"score_gpt":0.3459441328392829,"score_spread":0.3291695654518534,"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."}}