{"id":"W4417043037","doi":"10.21083/caree.vi.8887","title":"Dual Challenge of Climate Change and Misinformation: How Misinformation Shapes Vulnerability and Adaptation in Rural Communities in Pakistan","year":2025,"lang":"","type":"article","venue":"Canadian Agri-food & Rural Advisory Extension and Education Journal","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Misinformation; Climate change; Vulnerability (computing); Thematic analysis; Focus group; Adaptation (eye); Risk perception; Perception","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035208,0.0002785893,0.0002798281,0.0009109817,0.005497202,0.003739284,0.0004741089,0.0009044015,0.001550236],"category_scores_gemma":[0.004737599,0.0002408247,0.0002138423,0.001013042,0.004729195,0.002730343,0.00367764,0.000982327,0.0001155915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003570569,"about_ca_system_score_gemma":0.004234536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02362826,"about_ca_topic_score_gemma":0.03044845,"domain_scores_codex":[0.9982824,0.0009806626,0.00006275071,0.0001413572,0.000194681,0.0003381975],"domain_scores_gemma":[0.9958687,0.002532112,0.0008076758,0.0001222258,0.000323,0.0003462916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001160009,0.0001668435,0.205398,0.0002097907,0.00003909337,0.002232315,0.7627376,0.0004847004,0.001229031,0.005845518,0.0006210372,0.02092006],"study_design_scores_gemma":[0.000007273484,0.00008648409,0.08651204,0.0001252627,0.00002380634,0.0003385363,0.9030344,0.0006731937,0.0002793245,0.0038642,0.005018665,0.00003689801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955791,0.0001334908,0.0002353235,0.0007616265,0.000006188075,0.00001372357,0.00001534262,0.000001324081,0.003253889],"genre_scores_gemma":[0.9995891,0.0001189954,0.00007909262,0.00005535305,0.000002311486,0.000005855143,0.000004959371,6.167563e-7,0.0001438596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02362826,"threshold_uncertainty_score":0.04698145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1890362609158872,"score_gpt":0.3668619728608218,"score_spread":0.1778257119449346,"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."}}