{"id":"W4391990177","doi":"10.1038/s41467-024-45821-y","title":"Integrating single-cell and spatially resolved transcriptomic strategies to survey the astrocyte response to stroke in male mice","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Centre for Addiction and Mental Health; Canada Research Chairs; University of Toronto","funders":"Branch Out Neurological Foundation; Krembil Foundation; Canada Research Chairs; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Astrocyte; Transcriptome; Cell type; Biology; Neuroscience; Cell; Computational biology; Central nervous system; Cell biology; Gene expression; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008466115,0.0001833985,0.0001469056,0.0001251904,0.0001720961,0.0002302111,0.0008323009,0.000246878,0.000004587705],"category_scores_gemma":[0.0003065631,0.0001518877,0.00006189009,0.0003224595,0.00009527427,0.00001262282,0.0001834095,0.0006837063,0.000006446761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004071766,"about_ca_system_score_gemma":0.000215944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003606467,"about_ca_topic_score_gemma":0.06067992,"domain_scores_codex":[0.9985096,0.0005382015,0.0002711184,0.0003369396,0.0001121625,0.0002319623],"domain_scores_gemma":[0.998481,0.0004029455,0.00002833188,0.0008989229,0.00009988101,0.00008888341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005319502,0.00007145896,0.001396654,0.000014762,0.00002069644,0.000001543763,0.001171316,0.00009608783,0.994578,0.0001827432,0.0008159779,0.001118818],"study_design_scores_gemma":[0.002098913,0.00209804,0.08742131,0.0005736303,0.0001261528,0.00006470741,0.004945599,0.00329785,0.4174857,0.0001060131,0.4802851,0.00149703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810719,0.007844494,0.005035107,0.004170743,0.0002123221,0.0004344944,0.0001929609,0.0000306557,0.001007341],"genre_scores_gemma":[0.99108,0.000258372,0.007119766,0.0006772761,0.00004927908,0.00004715286,0.0001525658,0.00003193557,0.0005836866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5770923,"threshold_uncertainty_score":0.9564602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256146255669939,"score_gpt":0.2800158815540115,"score_spread":0.2574544189973121,"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."}}