{"id":"W2590426679","doi":"10.1038/542412a","title":"Water supply: The emptying well","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Water Network","funders":"","keywords":"Groundwater; Resource (disambiguation); Water resource management; Environmental science; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001283485,0.0001034944,0.00007868538,0.000006534594,0.0009777326,0.00007556872,0.0006680689,0.0002754612,0.001087302],"category_scores_gemma":[0.00002399475,0.00004819542,0.0000438086,0.00001684115,0.0002151843,0.0001716349,0.0007571185,0.000647617,0.001086889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003798724,"about_ca_system_score_gemma":0.000001318085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002361458,"about_ca_topic_score_gemma":0.0005179407,"domain_scores_codex":[0.999213,0.00002010109,0.00006565543,0.0002048442,0.0002271639,0.0002692193],"domain_scores_gemma":[0.9993299,0.00001629831,0.00003256151,0.0005837431,0.000004220902,0.00003324575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006072288,0.0001208625,0.1185864,0.00001674547,0.0001231231,0.0001235862,0.003623694,0.0001195804,0.09338152,0.01290567,0.7556261,0.01531201],"study_design_scores_gemma":[0.0002053994,0.00002222611,0.1334092,0.000008937563,0.00001534385,0.000009461821,0.00008710603,0.00003903357,0.1154786,0.02434524,0.7261921,0.0001874294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2237322,0.000257395,0.000005133801,0.0282853,0.0008073934,0.000109593,0.000009425898,0.00005183791,0.7467417],"genre_scores_gemma":[0.9861647,0.000006450645,0.00008049722,0.00164271,0.0001397445,0.000008396649,0.000002348125,0.0000108336,0.0119443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7624325,"threshold_uncertainty_score":0.9998258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007636753133054831,"score_gpt":0.2245880476241259,"score_spread":0.216951294491071,"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."}}