{"id":"W4388214118","doi":"10.26508/lsa.202302045","title":"CRISPR/Cas9 bioluminescence-based assay for monitoring CFTR trafficking to the plasma membrane","year":2023,"lang":"en","type":"article","venue":"Life Science Alliance","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Institut de recherche, Centre universitaire de santé McGill; University of North Carolina at Chapel Hill; Canadian Institutes of Health Research; McGill University Health Centre; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Cystic Fibrosis Foundation Therapeutics","keywords":"CRISPR; Cas9; Genome editing; Luciferase; Molecular biology; Bioluminescence; Biology; HEK 293 cells; Transfection; Chemistry; Cell biology; Gene; Genetics; Biochemistry","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":[0.0006679431,0.0007237438,0.0006503914,0.0006456763,0.000432293,0.0005665387,0.0008302713,0.0007901867,0.001713113],"category_scores_gemma":[0.0003802255,0.0003514552,0.0004938448,0.0003906921,0.0003902852,0.0003345786,0.0006057575,0.001576947,0.001137316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000574023,"about_ca_system_score_gemma":0.000397501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007647681,"about_ca_topic_score_gemma":0.001089278,"domain_scores_codex":[0.9990577,0.0001674572,0.0001068644,0.0002600439,0.000327169,0.00008079527],"domain_scores_gemma":[0.9996171,0.000105532,0.00009688711,0.0000619776,0.00006625021,0.00005218181],"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":[0.00002057282,0.00001895859,0.00009500202,0.00003626254,0.000005397275,0.0000255354,0.00001476108,0.00007287476,0.9985806,0.0001226333,0.00009085997,0.000916678],"study_design_scores_gemma":[0.000005829646,0.00007532753,0.0006096376,0.000004796904,0.00001055446,0.0001490966,0.00001415705,0.002019504,0.9947997,0.00005081656,0.002248931,0.00001162622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4436695,0.001491797,0.5368332,0.0004434503,0.0002215572,0.0005514618,0.004459756,0.004253474,0.008075772],"genre_scores_gemma":[0.611121,0.001804111,0.3682012,0.0002187471,0.00002917326,0.000971371,0.005337555,0.0004196795,0.0118972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001713113,"threshold_uncertainty_score":0.005730987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506300335222427,"score_gpt":0.3343769760716804,"score_spread":0.3093139727194562,"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."}}