{"id":"W4404555965","doi":"10.1016/s1474-4422(24)00431-9","title":"Effects of climate change on the brain: an environmental neurology perspective","year":2024,"lang":"en","type":"letter","venue":"The Lancet Neurology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Climate change; Neurology; Environmental change; Environmental ethics; Psychology; Neuroscience; Environmental science; Ecology; Computer science; Philosophy; Biology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009075402,0.0005613827,0.000697329,0.00008339145,0.0002673345,0.00002598596,0.001275788,0.0006418849,0.001029497],"category_scores_gemma":[0.0001300364,0.0003516889,0.000171906,0.0001579798,0.001574539,0.0001033376,0.0009162738,0.004751722,0.002616313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185802,"about_ca_system_score_gemma":0.000009524419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002185023,"about_ca_topic_score_gemma":0.0000438682,"domain_scores_codex":[0.9937539,0.002729717,0.00035601,0.001407522,0.0005335043,0.001219391],"domain_scores_gemma":[0.9955595,0.002680302,0.000311322,0.00136645,0.000002632478,0.00007976857],"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":[0.0009905889,0.0004366682,0.005988295,0.0004096108,0.0002298105,0.005169552,0.007873207,0.0001199832,0.004014773,0.001781216,0.9621398,0.0108465],"study_design_scores_gemma":[0.0006841521,0.00297702,0.09734377,0.00003667697,0.0001810996,0.00025318,0.00004919247,0.0004262762,0.0003197584,0.004496443,0.8926817,0.0005507759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2021994,0.0001801337,0.000003274505,0.7904193,0.0006589627,0.001437866,0.0001248566,0.00007283624,0.004903352],"genre_scores_gemma":[0.1889646,0.000924914,0.000003921614,0.8066603,0.002865347,0.0003352097,0.00002872619,0.0001173017,0.00009973761],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09135547,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686175963370217,"score_gpt":0.2649186760488975,"score_spread":0.2380569164151953,"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."}}