{"id":"W2039871855","doi":"10.1080/00045608.2010.497369","title":"Climate Change and Tropical Andean Glacier Recession: Evaluating Hydrologic Changes and Livelihood Vulnerability in the Cordillera Blanca, Peru","year":2010,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Glacier; Geography; Climate change; Livelihood; Vulnerability (computing); Drainage basin; Glacier mass balance; Physical geography; Water resource management; Environmental science; Geology; Cartography; Archaeology; Oceanography","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":[0.001259592,0.0003589638,0.0002191165,0.001733139,0.0009019657,0.0008911624,0.0004851954,0.0005518003,0.001118803],"category_scores_gemma":[0.003664563,0.0001478872,0.0004118544,0.001890237,0.0006048659,0.0006435991,0.001478818,0.000410211,0.00008724313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387796,"about_ca_system_score_gemma":0.0008908067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06461616,"about_ca_topic_score_gemma":0.08307981,"domain_scores_codex":[0.9993181,0.000382741,0.00003032173,0.00007789036,0.00008228377,0.0001085824],"domain_scores_gemma":[0.9979255,0.0007598947,0.0006770759,0.00006471689,0.0002877087,0.0002850197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006255407,0.0001485311,0.9925686,0.00003216193,0.00007387807,0.0002556702,0.003290156,0.0002709919,0.0004764903,0.00004258005,0.00006923206,0.002709236],"study_design_scores_gemma":[0.00000449037,0.0002419541,0.9904279,0.00001180769,0.00003037805,0.00007605541,0.008144674,0.0006526962,0.0001133629,0.00003047904,0.0002618608,0.000004413748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994276,0.00005750553,0.00003533369,0.00004354922,5.012652e-7,0.00002334221,0.00007763999,0.000001230299,0.0003333195],"genre_scores_gemma":[0.9995085,0.00008000315,0.0001082509,0.00001305591,0.000002710571,0.0000490853,0.0001412722,7.300322e-7,0.00009634643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06461616,"threshold_uncertainty_score":0.1284801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05304244758809541,"score_gpt":0.3026392252990182,"score_spread":0.2495967777109228,"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."}}