{"id":"W4385837901","doi":"10.1101/2023.08.14.553307","title":"Intein-based thermoregulated meganucleases for biocontainment of genetic material","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Intein; Homing endonuclease; Plasmid; Escherichia coli; Biology; Endonuclease; Synthetic biology; DNA; Genetics; Computational biology; Gene; RNA splicing","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":[0.0002426149,0.0004401816,0.0001776247,0.0002057695,0.0001033528,0.0003150384,0.0003148915,0.0002735383,0.0007175615],"category_scores_gemma":[0.0001800591,0.0001818323,0.0001926567,0.0001450581,0.0002667895,0.0002206219,0.0004018929,0.0007262608,0.0004001472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069203,"about_ca_system_score_gemma":0.000173982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000214461,"about_ca_topic_score_gemma":0.0005319663,"domain_scores_codex":[0.9998158,0.00003662774,0.00002336664,0.00003560311,0.0000655909,0.0000231265],"domain_scores_gemma":[0.9998698,0.00002724258,0.0000482261,0.00002912174,0.0000102318,0.00001532095],"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":[0.00001687874,0.000009217084,0.00006905737,0.00001782579,0.00000310309,0.00001395252,0.000005868504,0.0000946112,0.9984345,0.0001644978,0.00002423323,0.00114627],"study_design_scores_gemma":[0.000002074393,0.0000182201,0.0003853084,0.000002257071,0.000003202867,0.00004843633,0.000002835911,0.0005910908,0.9975801,0.00002568397,0.001339065,0.000001788612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955417,0.001321943,0.09971629,0.0002363385,0.00008157062,0.0001056928,0.0005534366,0.0005690908,0.001873964],"genre_scores_gemma":[0.9415166,0.0009050237,0.05088871,0.0000734955,0.00001121989,0.00007772717,0.0009131241,0.000135673,0.0054784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007175615,"threshold_uncertainty_score":0.002400458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032451702818336,"score_gpt":0.2457063878139977,"score_spread":0.2353818707858144,"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."}}