{"id":"W3196194138","doi":"10.1038/s41467-021-25279-y","title":"Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Cancer Institute; Ragon Institute of MGH, MIT and Harvard; National Institute of General Medical Sciences; Hertz Foundation; Searle Scholars Program; National Science Foundation; Damon Runyon Cancer Research Foundation; National Institutes of Health; U.S. Department of Health and Human Services; Howard Hughes Medical Institute","keywords":"Phenotype; Transcriptome; Cell; Cell biology; Biology; Function (biology); Computational biology; Gene; Genetics; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000938304,0.0001438377,0.0001388845,0.00003640993,0.0003808983,0.00007298648,0.0002737415,0.0003268951,0.00000632013],"category_scores_gemma":[0.00005091736,0.0001646849,0.00009216771,0.00008885642,0.000063189,0.00001574558,0.00008346036,0.0003412399,5.265541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002123683,"about_ca_system_score_gemma":0.0001163155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007328187,"about_ca_topic_score_gemma":0.0004142487,"domain_scores_codex":[0.9992194,0.00007094083,0.0001915742,0.0002717635,0.00006121398,0.0001851712],"domain_scores_gemma":[0.9989359,0.00007172619,0.00008449537,0.0006495909,0.0002121108,0.0000461824],"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":[0.00003453354,0.0001376815,0.001658797,0.00004343911,0.00002169917,2.471792e-7,0.0002432507,0.00007752793,0.9967378,0.00006063163,0.0001784227,0.000805987],"study_design_scores_gemma":[0.0009217347,0.00005456215,0.0005607534,0.00002952958,0.00008623576,0.000009174507,0.0003287652,0.01316173,0.9370323,0.00005140365,0.04751093,0.0002528234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8697397,0.03037882,0.09639541,0.0005901838,0.0005072295,0.0005926521,0.0002924519,0.00003984575,0.001463706],"genre_scores_gemma":[0.9640086,0.001340871,0.03329328,0.0003625951,0.00009495054,0.00001794282,0.000700502,0.00003296723,0.0001483492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09426885,"threshold_uncertainty_score":0.6715656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617038921833141,"score_gpt":0.2765614337336516,"score_spread":0.2503910445153201,"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."}}