{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002585091,0.0001730002,0.0004356621,0.001063968,0.001725819,0.001841818,0.0003827906,0.0006182182,0.0043659],"category_scores_gemma":[0.004413114,0.0001616984,0.0003765578,0.001908154,0.001712456,0.001472487,0.002183458,0.0007729495,0.0001873916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077196,"about_ca_system_score_gemma":0.004852163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04961895,"about_ca_topic_score_gemma":0.0915124,"domain_scores_codex":[0.9986855,0.0006898905,0.00005506645,0.000111933,0.0003274207,0.000130162],"domain_scores_gemma":[0.9981351,0.0008177796,0.0003826579,0.00004985606,0.0004454479,0.0001691356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001847449,0.0001521333,0.09090067,0.01501463,0.0002935706,0.003579982,0.2825437,0.001273981,0.003776567,0.07734648,0.02187498,0.5030586],"study_design_scores_gemma":[0.00001181156,0.0003108394,0.3436302,0.006416632,0.0001862645,0.001641348,0.1072772,0.0005277441,0.0005130811,0.01701775,0.5223835,0.00008365594],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.467948,0.3759707,0.002932885,0.03832582,0.001945994,0.0001646283,0.0003935291,0.00003180427,0.1122866],"genre_scores_gemma":[0.8609049,0.1223675,0.001166285,0.003481493,0.0002866058,0.00008687507,0.00007371796,0.00001574902,0.01161673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04961895,"threshold_uncertainty_score":0.09866029,"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."}}