{"id":"W2168873555","doi":"10.3189/2012jog11j186","title":"Glacier recession and water resources in Peru’s Cordillera Blanca","year":2012,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":338,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; Ohio State University; Duke Energy; National Science Foundation","keywords":"Hydrograph; Glacier; Geology; Watershed; Hydrology (agriculture); Dry season; Series (stratigraphy); Physical geography; Discharge; Climatology; Geomorphology; Geography; Drainage basin; Paleontology; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124183,0.0001501708,0.0001417858,0.000744273,0.0003590048,0.0006139688,0.0002187055,0.0002562897,0.001478037],"category_scores_gemma":[0.001708209,0.00008216741,0.0001264486,0.001129639,0.0004343957,0.0003402431,0.0006604651,0.0002230269,0.00009625292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280342,"about_ca_system_score_gemma":0.0004818332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07471471,"about_ca_topic_score_gemma":0.1109753,"domain_scores_codex":[0.9998823,0.00003848035,0.000005408936,0.00002198329,0.00001773568,0.00003409925],"domain_scores_gemma":[0.9993216,0.0001481639,0.0002946767,0.00002619905,0.0001125135,0.0000968836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008359194,0.00004791066,0.9937201,0.00002188382,0.0000374694,0.0003185677,0.0005691641,0.0004881053,0.0007118633,0.0001724331,0.0002613595,0.00356767],"study_design_scores_gemma":[0.000004298773,0.00002242243,0.9988196,0.000004552458,0.000005810162,0.00003505036,0.0003809027,0.0003814004,0.00004026319,0.00003461064,0.0002691748,0.000001803115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989886,0.0001071534,0.00001868537,0.0001467964,7.965639e-7,0.000002846529,0.0001283305,0.00000457926,0.0006021707],"genre_scores_gemma":[0.9995393,0.00008026683,0.00003135833,0.00001302585,0.000002604996,0.000004674608,0.0002139594,0.000001266812,0.0001135634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07471471,"threshold_uncertainty_score":0.1485597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899628289714249,"score_gpt":0.2319605511445501,"score_spread":0.2129642682474076,"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."}}