{"id":"W2187167030","doi":"10.1101/021121","title":"Genome Editing in <i>Caenorhabditis briggsae</i> using the CRISPR/Cas9 System","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CRISPR; Caenorhabditis elegans; Caenorhabditis; Genome editing; Genetics; Biology; Cas9; Genome; Computational biology; 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":[0.0003261561,0.0003618016,0.0002485207,0.0003761288,0.0003769973,0.0004984706,0.0004712451,0.0005186477,0.002516875],"category_scores_gemma":[0.0002339745,0.0002629177,0.0003485157,0.0001782117,0.0002915301,0.0002203085,0.0005154283,0.0007387619,0.001546913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100406,"about_ca_system_score_gemma":0.000417985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004069092,"about_ca_topic_score_gemma":0.006159255,"domain_scores_codex":[0.9997988,0.00002004856,0.00002189574,0.00005645162,0.00007910431,0.00002362667],"domain_scores_gemma":[0.9998724,0.0000230558,0.00003293869,0.00003785804,0.00001592074,0.00001772761],"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":[0.00002724021,0.00001347644,0.0001634767,0.00006286319,0.000006831408,0.0001525257,0.00002438572,0.0002723472,0.9942198,0.000767809,0.0008607368,0.00342854],"study_design_scores_gemma":[0.00001958689,0.00005521773,0.002242877,0.00002558645,0.00001434013,0.0004932445,0.00002268758,0.001317227,0.9579326,0.0002668814,0.03758766,0.00002202818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.795396,0.006264789,0.1393211,0.001476103,0.0008829155,0.0004884724,0.006998261,0.006097549,0.04307486],"genre_scores_gemma":[0.866588,0.002884943,0.09100651,0.0003931269,0.00004872781,0.000166552,0.004989142,0.0009730954,0.0329499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004069092,"threshold_uncertainty_score":0.008419752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244661740732418,"score_gpt":0.2505378355522415,"score_spread":0.2380912181449173,"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."}}