{"id":"W4401053693","doi":"10.1007/978-3-031-63917-3_4","title":"Novel Genomic Techniques and Applications on the Horizon","year":2024,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in environmental science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"CRISPR; Genome editing; Pipeline (software); Computer science; Cas9; Emerging technologies; Sustainability; Biology; Gene; Operating system; Genetics; Ecology; Artificial intelligence","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":[0.0001650863,0.0001584172,0.00007554261,0.00005828677,0.00007615298,0.00003207211,0.0002607778,0.00009713262,0.00001864821],"category_scores_gemma":[0.000002512284,0.0001308315,0.00003290284,0.0000238501,0.0004952414,0.00000194539,0.0003501553,0.0001716422,0.0000261139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006808521,"about_ca_system_score_gemma":0.00001689055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000372739,"about_ca_topic_score_gemma":0.000005275596,"domain_scores_codex":[0.9991236,0.000001295633,0.0001139242,0.0004603158,0.0001454939,0.0001553408],"domain_scores_gemma":[0.9995916,0.000006789035,0.00002697216,0.0003281938,0.000001623168,0.00004480424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003283695,0.00001153752,0.00002259649,0.00001141622,0.00000666565,0.000002292044,0.00001452055,0.00003930762,0.9532,0.0256096,0.00002430502,0.02105444],"study_design_scores_gemma":[0.00006347881,0.0001604264,0.0006447494,0.00006861648,0.0000121914,0.00003459056,0.00001577857,0.00002886681,0.2204902,0.001388093,0.7767695,0.0003234931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08884343,0.01328826,0.003772738,0.0004681734,0.0003922068,0.002240375,0.0001801906,0.00008086896,0.8907338],"genre_scores_gemma":[0.9213682,0.004049785,0.001039081,0.0001415311,0.0005150778,0.0001463841,0.00002055656,0.00007377435,0.07264558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8325248,"threshold_uncertainty_score":0.5335153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005702088016728166,"score_gpt":0.2360382414832685,"score_spread":0.2303361534665403,"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."}}