{"id":"W4393200594","doi":"10.7554/elife.92819.2","title":"Endogenous tagging using split mNeonGreen in human iPSCs for live imaging studies","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Endogeny; Induced pluripotent stem cell; HEK 293 cells; Computational biology; Cytokinesis; Biology; Protein engineering; Cell culture; Cell biology; Cell; Genetics; Cell division; Gene; Embryonic stem cell; Biochemistry; Enzyme","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":[0.0008094219,0.0004049699,0.0005625093,0.000484431,0.0003615783,0.0007292802,0.0005815243,0.0007070157,0.00180166],"category_scores_gemma":[0.0002662361,0.0002547367,0.0004171171,0.0003804484,0.0005094757,0.0003867901,0.0006544284,0.001395879,0.001617254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005946105,"about_ca_system_score_gemma":0.000444496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244216,"about_ca_topic_score_gemma":0.001389631,"domain_scores_codex":[0.9996349,0.00003161441,0.00004200837,0.00009238719,0.000142283,0.0000567399],"domain_scores_gemma":[0.9997546,0.00005104308,0.00003640909,0.00006984364,0.00005197125,0.0000361386],"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":[0.00003336262,0.00001614849,0.0001254558,0.00004487544,0.000005468621,0.00009899943,0.00003903485,0.0002455277,0.9960193,0.0007118197,0.0002310048,0.002428955],"study_design_scores_gemma":[0.000007155615,0.00001839353,0.0005804094,0.000007750697,0.00000921262,0.0001711255,0.00001979082,0.001784451,0.9883735,0.0001724793,0.008849461,0.000006308549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5750853,0.00213722,0.3946428,0.0008750912,0.0004323379,0.0005451396,0.008959685,0.003766243,0.01355608],"genre_scores_gemma":[0.8097854,0.00210236,0.1583758,0.00036199,0.00003324702,0.0005859406,0.006663139,0.001293178,0.02079895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00180166,"threshold_uncertainty_score":0.006027162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05572595536639268,"score_gpt":0.3890586864800756,"score_spread":0.3333327311136829,"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."}}