{"id":"W3140911851","doi":"10.21203/rs.3.rs-155206/v1","title":"Satellite Imaging of Global Urbanicity relates to Brain and Behavior in Young People","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Satellite; Neuroimaging; Remote sensing; Psychology; Environmental science; Geography; Neuroscience; Engineering; Aerospace engineering","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":[0.0001968047,0.0001584471,0.0001145595,0.0005312582,0.0001536264,0.0003606292,0.00009591848,0.0001860848,0.002266342],"category_scores_gemma":[0.0008442715,0.00008994749,0.0001677975,0.0007929187,0.0002224603,0.0001911018,0.000369891,0.0001564678,0.0001501874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071775,"about_ca_system_score_gemma":0.0001457939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484715,"about_ca_topic_score_gemma":0.02422093,"domain_scores_codex":[0.9999349,0.00002083922,0.00000453215,0.00001567944,0.00001083711,0.00001319752],"domain_scores_gemma":[0.9996368,0.00006538575,0.0001456117,0.00002800198,0.00006828055,0.00005589279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008893792,0.00002361849,0.990723,0.0000413864,0.0000660793,0.00005179323,0.000607483,0.0003966668,0.001266083,0.0001493523,0.0002918343,0.006293731],"study_design_scores_gemma":[0.000001536935,0.00002203939,0.998516,0.000008024543,0.0000111594,0.00004677683,0.0006294142,0.0002396087,0.0001567755,0.000120452,0.0002457137,0.000002493678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979208,0.0001051944,0.0002264123,0.00005590257,0.000003659028,0.000007355718,0.0008891893,0.000006918445,0.0007845496],"genre_scores_gemma":[0.9989088,0.00007167843,0.0002789588,0.00001222461,0.000004076443,0.000007739618,0.0004360212,0.000002560725,0.000278055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484715,"threshold_uncertainty_score":0.02952147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910151433945472,"score_gpt":0.3668935480302898,"score_spread":0.3377920336908351,"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."}}