{"id":"W3044030235","doi":"10.1016/j.cell.2020.06.038","title":"Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":957,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Katolicki Uniwersytet Lubelski Jana Pawla II; Knut och Alice Wallenbergs Stiftelse; EU Joint Programme – Neurodegenerative Disease Research; Alzheimer Society; KU Leuven; Fonds Wetenschappelijk Onderzoek; Medical Research Council; Alzheimer's Association","keywords":"Biology; Alzheimer's disease; Transcriptome; In situ; Computational biology; Disease; Genetics; Evolutionary biology; Gene; Gene expression; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007161191,0.0005899312,0.0005662158,0.0006514926,0.0003703432,0.0007557026,0.0005024464,0.000489032,0.001121087],"category_scores_gemma":[0.0002498666,0.0003478999,0.0004666227,0.000687045,0.0005374205,0.0006204776,0.0004496884,0.001165841,0.0006157315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386024,"about_ca_system_score_gemma":0.0003734268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262693,"about_ca_topic_score_gemma":0.003373464,"domain_scores_codex":[0.9996973,0.00006237643,0.0000218869,0.00009119324,0.00008727625,0.00003991346],"domain_scores_gemma":[0.9997635,0.0000633004,0.00003838467,0.00006752246,0.00004750441,0.00001973196],"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":[0.00003647499,0.00001535064,0.000412217,0.00006158782,0.0000147382,0.00004226507,0.00002902825,0.0004231539,0.9921375,0.001249313,0.0002460711,0.005332376],"study_design_scores_gemma":[0.0000171213,0.0001225819,0.012458,0.00002703424,0.00008716655,0.0007266232,0.0002188403,0.01108739,0.9500532,0.005030264,0.02014551,0.00002616818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3151402,0.01341406,0.6486337,0.001382113,0.0005903309,0.0002560479,0.00666032,0.001717825,0.01220535],"genre_scores_gemma":[0.6239585,0.01321724,0.3428956,0.001027239,0.0002593751,0.0005816477,0.004097076,0.0005031102,0.01346023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001262693,"threshold_uncertainty_score":0.003787279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233070511313044,"score_gpt":0.242091057782616,"score_spread":0.2097603526694856,"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."}}