{"id":"W4379095321","doi":"10.1111/acel.13890","title":"Geroscience and climate science: Oppositional or complementary?","year":2023,"lang":"en","type":"article","venue":"Aging Cell","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Climate change; Environmental ethics; Humanity; Perception; Public health; Population; Narrative; Global warming; Political science; Development economics; Sociology; Biology; Ecology; Economics; Medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005971174,0.00007296887,0.00006540447,0.00006609276,0.0006467858,0.00007320472,0.0001747854,0.0000124675,0.001652796],"category_scores_gemma":[0.00001022394,0.00005899771,0.000009763625,0.000657996,0.0003987412,0.0002942995,0.0004290775,0.00005142183,0.0009546674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008623487,"about_ca_system_score_gemma":0.00001893813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200166,"about_ca_topic_score_gemma":0.00006112709,"domain_scores_codex":[0.9987047,0.00001056081,0.0001089692,0.0002860794,0.0003392814,0.0005504455],"domain_scores_gemma":[0.999616,0.0000500114,0.00003423143,0.0001205692,0.000004410138,0.000174796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006469254,0.0001835432,0.5916914,0.0002321849,0.000002350348,0.0001681189,0.00898075,0.0002944322,0.2886884,0.0005520873,0.08375154,0.02539046],"study_design_scores_gemma":[0.0008437918,0.0002671599,0.9339027,0.00007234677,0.00001108391,0.00004742199,0.001166627,0.01011916,0.009555583,0.0005792704,0.04301231,0.0004225602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873059,0.00001509861,0.000007799823,0.002871856,0.0001463744,0.0001190173,0.00002630437,0.00007691785,0.009430707],"genre_scores_gemma":[0.9951782,0.000427726,0.0005754027,0.003329696,0.000037662,0.000006354484,0.00001426986,0.000007240557,0.0004234842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3422112,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07863070466428176,"score_gpt":0.3519206764155383,"score_spread":0.2732899717512566,"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."}}