{"id":"W4285149996","doi":"10.1007/978-1-0716-1979-7_36","title":"Designing Genetically Engineered Mouse Models (GEMMs) Using CRISPR Mediated Genome Editing","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"CRISPR; Genome editing; Cas9; Biology; Computational biology; Genome; Embryonic stem cell; Genetics; Gene","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":[0.001573718,0.0009569364,0.0006137108,0.001268261,0.0004859542,0.001095896,0.00157154,0.001386996,0.003151183],"category_scores_gemma":[0.0009278472,0.0008407131,0.0008709183,0.0004277827,0.0007121745,0.0007757731,0.0009284109,0.002209325,0.001675837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006180689,"about_ca_system_score_gemma":0.0006293062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006378639,"about_ca_topic_score_gemma":0.001471009,"domain_scores_codex":[0.9991768,0.0001571963,0.00009897345,0.0001725328,0.0002786978,0.0001157229],"domain_scores_gemma":[0.9994044,0.0001200205,0.0001643597,0.0001105032,0.00007525891,0.0001253731],"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":[0.0001148911,0.00006146948,0.0002661479,0.0001133988,0.00002701078,0.0001543095,0.00004613917,0.0007868871,0.9882633,0.003958961,0.0005937886,0.005613777],"study_design_scores_gemma":[0.00007653483,0.0003051079,0.0006984847,0.00005336963,0.00006739904,0.0005106078,0.00004597938,0.00356555,0.9642157,0.0009997111,0.02943416,0.0000273957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3081606,0.003536503,0.6634474,0.001380687,0.001231126,0.002084596,0.00480186,0.005357658,0.009999544],"genre_scores_gemma":[0.5052664,0.004684823,0.4517828,0.0007286139,0.00007195891,0.002843636,0.00443259,0.001350202,0.02883902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003151183,"threshold_uncertainty_score":0.01054174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619001547295293,"score_gpt":0.388640501076041,"score_spread":0.3624504856030881,"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."}}