{"id":"W2794325696","doi":"10.1080/02508060.2017.1416444","title":"Water option contracts for climate change adaptation in Santiago, Chile","year":2018,"lang":"en","type":"article","venue":"Water International","topic":"Water resources management and optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Climate change; Natural resource economics; Business; Agriculture; Ex-ante; Water use; Consumption (sociology); Environmental science; Water resource management; Economics; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422706,0.00009539366,0.00007163944,0.0001711151,0.00004595205,0.00007230986,0.0001081161,0.00004496437,0.0002254441],"category_scores_gemma":[0.000002609787,0.00006996465,0.00003015503,0.0000255504,0.00001891483,0.0003462012,0.00003249829,0.000038277,0.0001990732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004304787,"about_ca_system_score_gemma":5.687972e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001362123,"about_ca_topic_score_gemma":0.00003577047,"domain_scores_codex":[0.9993385,0.000008379407,0.0001754723,0.0001312183,0.0001093876,0.0002370336],"domain_scores_gemma":[0.9998623,0.000005647636,0.00001297488,0.00005708391,0.00004470361,0.00001732081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009439213,0.0004234295,0.01181204,0.0005104627,0.0005140818,0.00002594241,0.04847046,0.8054864,0.06360102,0.0122492,0.005671133,0.05029187],"study_design_scores_gemma":[0.001091026,0.00006227886,0.0026267,0.00004064168,0.00001116988,0.000001759659,0.00004597914,0.8802502,0.06487488,0.000668462,0.05013153,0.0001953347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042463,0.00002389543,0.07441912,0.001150279,0.002299368,0.000910054,0.00004111478,0.0003384376,0.0165714],"genre_scores_gemma":[0.9969097,0.00002477513,0.00135685,0.0001312564,0.0007124374,0.0001206108,0.0005739831,0.0000241138,0.0001462294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09266341,"threshold_uncertainty_score":0.2853076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555671947487082,"score_gpt":0.2296470127853066,"score_spread":0.2040902933104358,"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."}}