{"id":"W4226241100","doi":"10.3389/fninf.2022.753770","title":"LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Health Canada; Canadian Open Neuroscience Platform; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Neocortex; Computational biology; Computer science; Gene expression; Gene; Expression (computer science); Laminar organization; Function (biology); Laminar flow; RNA; Biology; Neuroscience; Genetics","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":[0.001034016,0.001357954,0.001018138,0.002950358,0.0006255055,0.001717785,0.001116686,0.0009959599,0.03596345],"category_scores_gemma":[0.001633349,0.001016535,0.00107919,0.001975989,0.0003318356,0.001145813,0.001852488,0.001229654,0.01236624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411783,"about_ca_system_score_gemma":0.0008357028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623847,"about_ca_topic_score_gemma":0.003793668,"domain_scores_codex":[0.9995987,0.00004916282,0.00003071465,0.0001214757,0.0001488578,0.00005116046],"domain_scores_gemma":[0.9994624,0.0002907257,0.00007178201,0.00006981697,0.00005355044,0.00005180861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00138225,0.0002205848,0.01201377,0.004235185,0.0007863017,0.001159892,0.001611604,0.00649052,0.1690055,0.009128722,0.5911465,0.2028193],"study_design_scores_gemma":[0.000672206,0.0002898217,0.05201299,0.0007925536,0.000349896,0.002692535,0.000499267,0.0810971,0.1433081,0.04192102,0.6758093,0.0005551928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02498031,0.001820173,0.2759795,0.0005521029,0.0003996787,0.0003061595,0.2601857,0.4241932,0.01158324],"genre_scores_gemma":[0.1122189,0.002418952,0.4891029,0.001388066,0.0002265776,0.003501142,0.2836555,0.09365754,0.01383038],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03596345,"threshold_uncertainty_score":0.1203097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008092522347092408,"score_gpt":0.240693390222165,"score_spread":0.2326008678750726,"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."}}