{"id":"W4392760235","doi":"10.5194/egusphere-egu24-13616","title":"Hydrological implications of the Chile Megadrought in high mountain basins and lessons for climate adaptation.","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"","keywords":"Adaptation (eye); Climate change adaptation; Climate change; Geography; Environmental resource management; Environmental science; Climatology; Geology; Psychology; 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":[0.0003043256,0.0001628479,0.0002075638,0.0002221,0.0003260713,0.0008947367,0.0005309995,0.0005948781,0.001385032],"category_scores_gemma":[0.0005412416,0.0001876474,0.0004486846,0.0004860128,0.0004104723,0.0005624726,0.0005727111,0.0003505886,0.00007555401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397582,"about_ca_system_score_gemma":0.001200236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05497022,"about_ca_topic_score_gemma":0.064767,"domain_scores_codex":[0.999933,0.00003055608,0.00000385395,0.00001006545,0.000007063369,0.00001554938],"domain_scores_gemma":[0.9998506,0.00004102736,0.00003302485,0.00001260784,0.00001613275,0.00004655042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002458353,0.0002972086,0.342335,0.0002362568,0.0002805165,0.001625736,0.001012403,0.6211643,0.006494605,0.007865667,0.004509702,0.01393272],"study_design_scores_gemma":[0.0001695292,0.0001215071,0.3831136,0.00007031443,0.00008620636,0.0001755079,0.003372043,0.6001251,0.0009648814,0.005133082,0.006585448,0.00008294505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954141,0.0003152655,0.0004638454,0.001119778,0.00001501277,0.00001017057,0.0003961368,0.00002668653,0.002238916],"genre_scores_gemma":[0.9992266,0.0001284418,0.0002082948,0.00003642406,0.00000443222,0.00000821075,0.00008877841,0.000006096971,0.0002927658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05497022,"threshold_uncertainty_score":0.1093005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525296473738576,"score_gpt":0.2671833479748222,"score_spread":0.2419303832374364,"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."}}