{"id":"W4388125678","doi":"10.7554/elife.92819","title":"Endogenous tagging using split mNeonGreen in human iPSCs for live imaging studies","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Induced pluripotent stem cell; Live cell imaging; Endogeny; Neuroscience; Biology; Computational biology; Genetics; Embryonic stem cell; Cell; Gene; 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":[0.0008715533,0.0004058896,0.0005762834,0.0004255394,0.0003826403,0.0007605256,0.000676243,0.0007407742,0.001605769],"category_scores_gemma":[0.0003159967,0.0002952897,0.0004609386,0.0004430964,0.0005617499,0.0004789444,0.0006117731,0.001574536,0.001473852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303153,"about_ca_system_score_gemma":0.0005141238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240612,"about_ca_topic_score_gemma":0.002095677,"domain_scores_codex":[0.9995677,0.00003504334,0.000048759,0.0001125725,0.0001783052,0.00005765435],"domain_scores_gemma":[0.9997854,0.00004603305,0.00003803205,0.00005526996,0.00004734212,0.00002800596],"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":[0.0000310484,0.00001692044,0.0001008631,0.00005256146,0.000005379307,0.00007072419,0.00004367271,0.000237172,0.9961962,0.0005777151,0.0002161036,0.002451725],"study_design_scores_gemma":[0.00001008233,0.00002975732,0.0007822007,0.00001133543,0.00001296181,0.0001629201,0.0000298143,0.002443242,0.986382,0.0002120844,0.009915376,0.000008231839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005863,0.002596445,0.4677817,0.0009825949,0.0004648597,0.0007953225,0.01158036,0.003513836,0.01169859],"genre_scores_gemma":[0.7527004,0.003528451,0.2100433,0.000607379,0.00004268868,0.00123518,0.00996336,0.001424693,0.0204546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001605769,"threshold_uncertainty_score":0.005371869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171441331523052,"score_gpt":0.340521462973769,"score_spread":0.2233773298214638,"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."}}