{"id":"W2209344393","doi":"10.1089/zeb.2015.1158","title":"A Guide to Computational Tools and Design Strategies for Genome Editing Experiments in Zebrafish Using CRISPR/Cas9","year":2015,"lang":"en","type":"article","venue":"Zebrafish","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fondation de la recherche en santé du Nouveau-Brunswick; Canadian Imperial Bank of Commerce","keywords":"CRISPR; Cas9; Genome editing; Biology; Computational biology; Genome; Genome engineering; Genetics; Gene","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":[0.001269532,0.001909979,0.001336845,0.001429771,0.0009335223,0.001316567,0.003423231,0.001709006,0.08253016],"category_scores_gemma":[0.002579736,0.002069239,0.001819033,0.001448981,0.0006024681,0.001385029,0.00143169,0.003025382,0.04732877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113203,"about_ca_system_score_gemma":0.002191246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004954026,"about_ca_topic_score_gemma":0.009967676,"domain_scores_codex":[0.9994798,0.00008654041,0.00006990394,0.00008928239,0.0002308484,0.00004346867],"domain_scores_gemma":[0.9991949,0.0003817629,0.0000593969,0.0001056996,0.000180321,0.00007784542],"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":[0.0002422747,0.0002685582,0.00131613,0.00454472,0.0002935427,0.001132581,0.0003409297,0.04032303,0.05686154,0.07273408,0.531952,0.2899905],"study_design_scores_gemma":[0.0001800798,0.00008913227,0.0008192754,0.0005267638,0.00006985685,0.0004618469,0.0000455974,0.05164283,0.01357596,0.03493877,0.8975104,0.0001395413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001814799,0.002457117,0.8564944,0.001047174,0.0005131203,0.0009264263,0.02810863,0.07335934,0.03527903],"genre_scores_gemma":[0.006171363,0.003268557,0.9312028,0.0009746331,0.000100834,0.0034029,0.0153873,0.0135912,0.02590046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08253016,"threshold_uncertainty_score":0.2760909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542883642669236,"score_gpt":0.3639308624834491,"score_spread":0.3085020260567567,"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."}}