{"id":"W4224062735","doi":"10.1016/j.xgen.2022.100120","title":"Genetic perturbations go spatial","year":2022,"lang":"en","type":"article","venue":"Cell Genomics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canada Research Chairs; Cancer Research Society","keywords":"CRISPR; Interactivity; Transcriptome; Computational biology; Biology; Cell; Tumor cells; Cell biology; Computer science; Genetics; Cancer research; Gene; Gene expression; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000220069,0.001020944,0.0004645473,0.000590912,0.0004579035,0.001063534,0.000492313,0.00100726,0.006101733],"category_scores_gemma":[0.0005228497,0.0004895068,0.0005724301,0.0003978281,0.001085257,0.0007453418,0.001104964,0.001874702,0.002867523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038657,"about_ca_system_score_gemma":0.0007543201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285809,"about_ca_topic_score_gemma":0.003637603,"domain_scores_codex":[0.9995499,0.00004206253,0.0000297197,0.0001502297,0.0001578941,0.00007026041],"domain_scores_gemma":[0.9995582,0.00008228509,0.0001216632,0.0001328099,0.00006538279,0.00003971309],"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":[0.00008510632,0.00004032533,0.0004210371,0.0001318815,0.00002910369,0.0002122562,0.00004494164,0.0009329338,0.9828955,0.005759567,0.0006587111,0.008788663],"study_design_scores_gemma":[0.00002608161,0.0003503991,0.005196556,0.00006237012,0.00006210018,0.001042875,0.000148715,0.002774571,0.9404111,0.004752287,0.04512746,0.00004553267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.711365,0.01231596,0.1736863,0.005819395,0.001464653,0.0004786436,0.007252625,0.00737979,0.0802376],"genre_scores_gemma":[0.9551342,0.004673558,0.01936309,0.001854738,0.00003924563,0.0001980972,0.001315406,0.0005052815,0.01691647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006101733,"threshold_uncertainty_score":0.02041233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009090170193315716,"score_gpt":0.1912992724606769,"score_spread":0.1822091022673612,"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."}}