{"id":"W4408090193","doi":"10.1038/s44168-025-00228-3","title":"A systematic analysis of disability inclusion in domestic climate policies","year":2025,"lang":"en","type":"article","venue":"npj Climate Action","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Environment and Climate Change Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inclusion (mineral); Harm; Human rights; Political science; Medical model of disability; Action (physics); Face (sociological concept); Climate change; State (computer science); Climate policy; Law and economics; Psychology; Sociology; Law; Social psychology; Social science","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":[0.002580914,0.0001358989,0.0005208761,0.0007141947,0.0006459103,0.00006754832,0.0002009144,0.0001443633,0.0000812139],"category_scores_gemma":[0.001073567,0.000133062,0.0001653425,0.003531399,0.0002317435,0.0004097986,0.0002591114,0.00009815684,0.000009746394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089259,"about_ca_system_score_gemma":0.00007357607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01095983,"about_ca_topic_score_gemma":0.1266696,"domain_scores_codex":[0.9975378,0.000569974,0.0007749083,0.0002747503,0.0004843717,0.0003582188],"domain_scores_gemma":[0.9982988,0.0007767251,0.0003947155,0.0003085613,0.0001743272,0.00004688391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003562036,0.0014639,0.6625438,0.03333483,0.0007705131,0.00000508283,0.1974441,0.005079995,0.01530575,0.07972014,0.00009169759,0.003883989],"study_design_scores_gemma":[0.0008323734,0.00007276463,0.8559989,0.003532781,0.002619298,7.984964e-7,0.09901819,0.03079749,0.000600084,0.00592279,0.000158977,0.0004456003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917932,0.0001401048,0.0001989422,0.0009940746,0.0003322874,0.0007339558,0.00004051732,0.0000985803,0.005668368],"genre_scores_gemma":[0.9983472,0.001265212,0.0000731998,0.00006990718,0.0000301198,0.00008041183,0.00007552966,0.000007281341,0.00005110445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1934551,"threshold_uncertainty_score":0.9956263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07833661523977,"score_gpt":0.4020924012343709,"score_spread":0.3237557859946009,"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."}}