{"id":"W4388126015","doi":"10.7554/elife.92819.1.sa1","title":"Reviewer #2 (Public Review): Endogenous tagging using split mNeonGreen in human iPSCs for live imaging studies","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Endogeny; Induced pluripotent stem cell; HEK 293 cells; Computational biology; Biology; Protein engineering; Cytokinesis; Cell culture; Live cell imaging; Cell biology; Cell; Genetics; Cell division; Gene; Embryonic stem cell; Biochemistry; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06303499,0.001819261,0.003818307,0.005380126,0.004170395,0.01020785,0.005980327,0.02045756,0.05353249],"category_scores_gemma":[0.2965971,0.001544553,0.003706552,0.003207331,0.003508226,0.005771618,0.004556555,0.009298941,0.03376649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007526893,"about_ca_system_score_gemma":0.01673973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615513,"about_ca_topic_score_gemma":0.00584473,"domain_scores_codex":[0.9544752,0.01261479,0.007813461,0.003549685,0.0196529,0.001893903],"domain_scores_gemma":[0.471335,0.04735024,0.02250249,0.01235502,0.4308577,0.01559964],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004201953,0.00000734233,0.0001200017,0.001056912,0.00002229396,0.0000503867,0.00004060545,0.00001842163,0.00008554319,0.0001006744,0.9929566,0.005499086],"study_design_scores_gemma":[0.0001978183,0.00004852724,0.00116107,0.003347291,0.00011021,0.000373346,0.0001932492,0.0002138573,0.0004416768,0.0008790999,0.9929503,0.00008345673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004749914,0.009308904,0.002018301,0.4099701,0.5679433,0.001520596,0.002266501,0.00102149,0.005475743],"genre_scores_gemma":[0.009120482,0.01745679,0.004355564,0.5426267,0.3545119,0.006743094,0.002741085,0.00159244,0.06085196],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.936965,"threshold_uncertainty_score":0.3333649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2503760149136717,"score_gpt":0.4257360906005409,"score_spread":0.1753600756868692,"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."}}