{"id":"W3209482382","doi":"10.3389/frym.2021.600133","title":"CRISPR: A New Way for Scientists to Edit DNA","year":2021,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; PROTEO; Université Laval; University of Ottawa","funders":"","keywords":"CRISPR; Cas9; Computational biology; DNA; Biology; Human welfare; Computer science; Gene; Genetics; Political science; Welfare; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001066282,0.0001342558,0.0001413397,0.0000473529,0.0000872748,0.00004745616,0.0001571065,0.0001097089,0.00001171523],"category_scores_gemma":[0.000148396,0.0001485206,0.0001575216,0.00010153,0.00001791565,0.000002802356,0.00006278438,0.00003175161,0.000004048785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012006,"about_ca_system_score_gemma":0.000114025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005129164,"about_ca_topic_score_gemma":0.00004875312,"domain_scores_codex":[0.9990244,0.000005358354,0.0001438726,0.0003933617,0.00009387048,0.0003391306],"domain_scores_gemma":[0.999388,0.000005423609,0.00002338214,0.0002894873,0.0001167908,0.0001769599],"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":[0.00005052779,0.00001765564,0.0002921775,0.00002583404,0.00005013536,0.000001451956,0.00008510027,0.0001169098,0.3007126,0.00003506383,0.6914878,0.007124672],"study_design_scores_gemma":[0.000493613,0.0001318665,0.0003004613,0.000006950172,0.00002671122,0.000008682226,0.00008248113,0.0001877872,0.453905,0.00008410568,0.5446218,0.000150469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05076839,0.001724695,0.9420899,0.0004597554,0.004012196,0.0003824004,0.0001080032,0.00001394013,0.0004407587],"genre_scores_gemma":[0.4920385,0.00006838268,0.381715,0.0007559958,0.004796593,0.0003709343,0.001184584,0.0001369596,0.1189331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5603749,"threshold_uncertainty_score":0.6056496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007618934234051389,"score_gpt":0.2924289082096401,"score_spread":0.2848099739755887,"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."}}