{"id":"W2184423667","doi":"10.22329/csw.v14i1.5870","title":"Gender and Climate Change in Rural Australia","year":2019,"lang":"en","type":"article","venue":"Critical Social Work","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Redress; Disadvantaged; Political economy of climate change; Disadvantage; Political science; Economic growth; Socioeconomics; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001504542,0.00008030426,0.0001255604,0.00001317757,0.0001266507,0.00002629532,0.00005541647,0.00009595248,0.007639403],"category_scores_gemma":[0.00002869566,0.0000766569,0.00002135199,0.0001954758,0.0001336025,0.0001359527,0.0001095868,0.0001323489,0.002058959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008059743,"about_ca_system_score_gemma":0.00000137048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311921,"about_ca_topic_score_gemma":0.00005153319,"domain_scores_codex":[0.9990633,0.00003041228,0.0001154449,0.0001446388,0.0001307667,0.0005154297],"domain_scores_gemma":[0.9997216,0.00005864001,0.00001137311,0.00005642785,0.000002441686,0.0001495591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002906498,0.00004847069,0.9808748,0.00005701586,7.125753e-7,0.0000129234,0.002916192,1.502859e-7,0.00008696826,0.006933522,0.001308949,0.007731263],"study_design_scores_gemma":[0.0001979952,0.00002466297,0.9961915,0.00002773231,0.000003621197,0.000001484037,0.0003402757,0.00001111386,0.000004390371,0.001873362,0.001216144,0.0001077292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898667,0.00005109065,4.969543e-7,0.003732786,0.0001855722,0.0001739668,0.000007088141,0.00001682306,0.005965528],"genre_scores_gemma":[0.9981658,0.00003103246,0.00005398015,0.001479306,0.0001844609,0.00001558614,0.000002920369,0.000008104722,0.00005876224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531672,"threshold_uncertainty_score":0.9987181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138973676957701,"score_gpt":0.3947099372403651,"score_spread":0.2557362602826641,"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."}}