{"id":"W2063970132","doi":"10.1007/s10113-012-0333-2","title":"Climate-related hydrological change and human vulnerability in remote mountain regions: a case study from Khumbu, Nepal","year":2012,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Livelihood; Vulnerability (computing); Climate change; Geography; Environmental resource management; Precipitation; Population; Environmental protection; Water resource management; Environmental science; Ecology; Agriculture","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001258724,0.0002594165,0.000290444,0.0001365752,0.0007529704,0.00004408784,0.0001419214,0.0002567242,0.000331022],"category_scores_gemma":[0.00003941726,0.0002651839,0.00006982022,0.000213894,0.0005353358,0.0008211811,0.0001494111,0.000281438,0.00004893923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007464854,"about_ca_system_score_gemma":0.000008805265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07846083,"about_ca_topic_score_gemma":0.05644035,"domain_scores_codex":[0.9971391,0.0007702869,0.0003966502,0.0005312852,0.0005221127,0.0006405754],"domain_scores_gemma":[0.9990652,0.0002167363,0.0001773793,0.0002607304,0.000008205452,0.0002717852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006558013,0.001446022,0.8049647,0.00001067681,0.00002497927,0.0003514501,0.1866879,9.708349e-7,0.0003083303,0.001765602,0.00004253587,0.004331303],"study_design_scores_gemma":[0.00151709,0.0002904689,0.869962,0.00004150358,0.00006228009,0.0001570707,0.1226268,0.0005237531,0.000006199514,0.001341667,0.002977855,0.0004933978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953195,0.001059405,0.000003148924,0.00150438,0.0001199814,0.001638392,0.00006983169,0.00007506258,0.0002102608],"genre_scores_gemma":[0.9974744,0.0007173878,0.00008718893,0.0005118315,0.0006699772,0.0002330901,0.0002312327,0.00002670037,0.00004823643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06499732,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2463208651266456,"score_gpt":0.348682125262267,"score_spread":0.1023612601356214,"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."}}