{"id":"W3187271403","doi":"10.1016/j.stem.2021.07.005","title":"Know thy neighbor: Modeling spatiotemporal cell-fate patterns in a neural stem cell niche","year":2021,"lang":"en","type":"letter","venue":"Cell stem cell","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neural stem cell; Stem cell; Progenitor cell; Biology; Population; Cell biology; Cell fate determination; Cell; Neuroscience; Genetics; Medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002843641,0.001218587,0.0010752,0.0002192594,0.0001653406,0.0002491684,0.001066175,0.002317139,0.0001001204],"category_scores_gemma":[0.000001891219,0.00128349,0.0007241638,0.000252739,0.00007352571,0.00001822125,0.0003727791,0.002289009,0.00007434346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382339,"about_ca_system_score_gemma":0.0003695747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004466265,"about_ca_topic_score_gemma":0.0002018243,"domain_scores_codex":[0.9944513,0.0004806246,0.001217547,0.001940465,0.000567778,0.001342247],"domain_scores_gemma":[0.99753,0.00005757173,0.0005048859,0.001464393,0.0002038458,0.0002392648],"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":[0.0003530921,0.001397549,0.00939862,0.007271389,0.0001441434,0.002302045,0.001252572,0.01532404,0.7512891,7.769722e-7,0.2069885,0.004278216],"study_design_scores_gemma":[0.00352359,0.0005648803,0.00002839153,0.0002887247,0.0002419906,0.00002225984,0.0004830289,0.03431831,0.6691738,0.000006612365,0.2886581,0.002690366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450319,0.02411628,0.004687573,0.00661548,0.003687211,0.001468614,0.0007626785,0.0001225287,0.01350775],"genre_scores_gemma":[0.927707,0.002160581,0.0002057837,0.03723379,0.002908084,0.00008278705,0.004129038,0.0004163238,0.02515663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08211527,"threshold_uncertainty_score":0.9989781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176360507895405,"score_gpt":0.2096105080301208,"score_spread":0.1878469029511667,"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."}}