{"id":"W4396996201","doi":"10.1681/asn.20213210s118","title":"Single-Cell Profiling Reveals Sex-Based Transcriptional Programs in Healthy Human Kidney","year":2021,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network","funders":"","keywords":"Profiling (computer programming); Computational biology; Gene expression profiling; Biology; Kidney; Cell; Cell biology; Medicine; Bioinformatics; Endocrinology; Genetics; Gene expression; Computer science; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964269,0.00009901818,0.0002827567,0.0004755852,0.0002441688,0.0004188676,0.00009748701,0.0001830174,0.001781826],"category_scores_gemma":[0.0002576564,0.00008889051,0.0001809254,0.0004014074,0.0001763267,0.0001423766,0.0002168666,0.0002009771,0.000450113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100183,"about_ca_system_score_gemma":0.000123889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004579059,"about_ca_topic_score_gemma":0.0006527151,"domain_scores_codex":[0.9997985,0.00001682543,0.00001363522,0.00007731473,0.00005987133,0.00003393063],"domain_scores_gemma":[0.9998472,0.00003443917,0.00003093125,0.00001608191,0.00004209254,0.00002921708],"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":[0.0004572234,0.00002630003,0.05867954,0.00006049113,0.00003049696,0.0001233291,0.0002186699,0.0001315852,0.9318704,0.00009276186,0.0001433722,0.008165707],"study_design_scores_gemma":[0.00001089489,0.0002951397,0.8311278,0.00001265405,0.00005175404,0.001043171,0.0004002877,0.001549021,0.1629335,0.0002357366,0.002320674,0.00001929644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937961,0.0007691615,0.003316402,0.00003085167,0.000007676014,0.00001449664,0.001459643,0.00003330984,0.0005724856],"genre_scores_gemma":[0.9947698,0.0003442686,0.002420777,0.00005074558,0.00001078646,0.0000360558,0.001532783,0.00002533023,0.0008095035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001781826,"threshold_uncertainty_score":0.005960763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09118096657184649,"score_gpt":0.3389399713755137,"score_spread":0.2477590048036672,"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."}}