{"id":"W4399897592","doi":"10.1101/2024.06.20.599687","title":"The transcriptomic architecture of the human cerebral cortex","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Architecture; Cerebral cortex; Neuroscience; Transcriptome; Computer science; Computational biology; Biology; Geography; Gene expression; Gene; Genetics","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":[0.00009992327,0.0001080123,0.0001561279,0.0006073395,0.0001694708,0.000406275,0.0001071666,0.0001288268,0.00125568],"category_scores_gemma":[0.0003053195,0.00009094711,0.0002010845,0.0006032829,0.0003056696,0.0001657623,0.0002122653,0.0001720926,0.0003192368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622068,"about_ca_system_score_gemma":0.0002605628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522151,"about_ca_topic_score_gemma":0.004328018,"domain_scores_codex":[0.9998968,0.0000112328,0.000003693214,0.00005126735,0.00001956813,0.00001752223],"domain_scores_gemma":[0.9998738,0.00003770341,0.000030026,0.00001691121,0.00003153292,0.000009955817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001851252,0.00001122312,0.0385013,0.000178741,0.00009875733,0.0002208755,0.000262613,0.003978564,0.9152327,0.002865272,0.00120749,0.03725736],"study_design_scores_gemma":[0.000009954441,0.00006584628,0.8677341,0.00003809746,0.0001048777,0.0007409382,0.0003551372,0.0219415,0.08627801,0.01069821,0.01198651,0.0000467861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394812,0.002076825,0.04381199,0.0005330343,0.00002017936,0.00002298248,0.009377883,0.0003410132,0.00433496],"genre_scores_gemma":[0.9801294,0.0005099643,0.01382883,0.0001122021,0.00002106507,0.00004274939,0.004200359,0.00006741039,0.001087987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003522151,"threshold_uncertainty_score":0.007003307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009079951764631724,"score_gpt":0.2253140548867405,"score_spread":0.2162341031221088,"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."}}