{"id":"W4391328137","doi":"10.20944/preprints202401.1947.v1","title":"Gene Editing, Indiscriminate Degradation And Recyclic Catalytic Events In Crispr Cas Technology","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CRISPR; Genome editing; Degradation (telecommunications); Gene; Computational biology; Genetics; Computer science; Biology; Telecommunications","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":[0.0007534149,0.0006263906,0.000776196,0.0009843591,0.0004945945,0.001651596,0.0009682996,0.001321528,0.001994939],"category_scores_gemma":[0.0006726925,0.0005318411,0.0008484635,0.001074407,0.001667611,0.001853941,0.0009810985,0.003098175,0.001843405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093954,"about_ca_system_score_gemma":0.0005276678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006652685,"about_ca_topic_score_gemma":0.0006210704,"domain_scores_codex":[0.9990699,0.0001225481,0.00008088421,0.0002633928,0.0003926477,0.00007064588],"domain_scores_gemma":[0.9998116,0.00007652482,0.00002581025,0.00002886743,0.00003798397,0.00001919933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002115756,0.0001174138,0.000486071,0.002630533,0.00007944459,0.001103732,0.000673508,0.004228354,0.2130967,0.3874757,0.02341741,0.3664795],"study_design_scores_gemma":[0.00002146881,0.0002503753,0.0005586881,0.0004211241,0.00007906408,0.003094066,0.00008053011,0.006693302,0.1501973,0.05385726,0.7844881,0.0002587531],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01369266,0.1996057,0.6883986,0.003866079,0.004808831,0.0004019019,0.0005086896,0.003713242,0.08500429],"genre_scores_gemma":[0.1780863,0.206375,0.5072441,0.005220984,0.00175938,0.0008316464,0.001161042,0.0009279523,0.09839354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001994939,"threshold_uncertainty_score":0.007937253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376166491740584,"score_gpt":0.3564176421740309,"score_spread":0.3188009929999725,"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."}}