{"id":"W4321116780","doi":"10.1016/j.cub.2023.01.043","title":"Organizing principles of astrocytic nanoarchitecture in the mouse cerebral cortex","year":2023,"lang":"en","type":"article","venue":"Current Biology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; McGill University Health Centre; Montreal General Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; International Development Research Centre; McGill University","keywords":"Biology; Neuroscience; Cerebral cortex; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003406006,0.0001124814,0.0001593974,0.0002667214,0.00012077,0.00001412235,0.0008186355,0.00004594601,0.00003729242],"category_scores_gemma":[0.000736063,0.00007195079,0.00004481841,0.001305849,0.0005711889,0.00004574231,0.0002728197,0.0004493605,0.0001195468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321354,"about_ca_system_score_gemma":0.00008040336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000291971,"about_ca_topic_score_gemma":0.000004696562,"domain_scores_codex":[0.9981369,0.0005669742,0.0002228531,0.0004160024,0.0001706936,0.0004865463],"domain_scores_gemma":[0.9990501,0.000576016,0.00007165706,0.0002400345,0.00001747067,0.000044671],"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":[0.00002593064,0.00006328629,0.009438763,0.00001670854,5.545884e-7,0.00002192173,0.0002545084,0.00001844834,0.9868485,0.001554074,0.0001382123,0.001619146],"study_design_scores_gemma":[0.0005453648,0.0003477399,0.01647803,0.000009326374,0.000003911393,0.00004567228,0.0000753156,0.0006980892,0.97083,0.0002784648,0.01056918,0.0001189307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984395,0.00003829729,0.00000784842,0.0005684004,0.0004883063,0.0002628058,0.00002184181,0.00005599043,0.0001170149],"genre_scores_gemma":[0.9992835,0.0001663874,0.00000223486,0.0003416921,0.00005376714,0.00002257772,0.000002523386,0.000009570443,0.0001177837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601847,"threshold_uncertainty_score":0.2934068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327287608928524,"score_gpt":0.3846355413136858,"score_spread":0.2519067804208334,"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."}}