{"id":"W2003273826","doi":"10.1007/s11027-015-9635-2","title":"Vulnerability to the health effects of climate variability in rural southwestern Uganda","year":2015,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Adaptive capacity; Vulnerability (computing); Livelihood; Climate change; Environmental planning; Psychological intervention; Geography; Environmental resource management; Environmental health; Vulnerability assessment; Photovoice; Psychological resilience; Agriculture; Business; Natural resource economics; Socioeconomics; Economic growth; Medicine; Ecology; Economics","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":[0.001135484,0.00009711195,0.0001545501,0.00001620077,0.00009215844,0.00003781655,0.00006651817,0.00004067798,0.00001140898],"category_scores_gemma":[0.0001337172,0.00007413741,0.00002274662,0.0002170017,0.00007023147,0.0002819585,0.0000464386,0.00004222391,0.000008186625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048109,"about_ca_system_score_gemma":0.0000404747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387112,"about_ca_topic_score_gemma":0.009164853,"domain_scores_codex":[0.9989635,0.0001487287,0.000283918,0.0001678957,0.0001767679,0.0002591865],"domain_scores_gemma":[0.9994345,0.0001076108,0.0001211215,0.0001181623,0.00002790808,0.0001906606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006106625,0.000309472,0.5435344,0.001308741,0.000009411814,0.000001398285,0.08859137,0.0009028181,0.0001663534,0.01519165,0.001076963,0.3482968],"study_design_scores_gemma":[0.001394395,0.0007627262,0.9494642,0.0001241963,0.000008836886,0.000002541819,0.01973388,0.006766899,0.00003583974,0.02036862,0.001165998,0.0001718813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906937,0.00008202288,0.002989841,0.004099453,0.0001659606,0.00132294,0.0001362377,0.00002013197,0.0004896619],"genre_scores_gemma":[0.9978977,0.00004317507,0.0005075841,0.001293352,0.00004804948,0.0001567763,0.00004613816,0.000003995114,0.000003162967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4059298,"threshold_uncertainty_score":0.5114203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0892434836617066,"score_gpt":0.3460074821486369,"score_spread":0.2567639984869303,"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."}}