{"id":"W2801504492","doi":"10.1007/s10040-018-1771-9","title":"Re-thinking the unimpeded tube-well growth under the depleting groundwater resources in the Punjab, Pakistan","year":2018,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Groundwater; Hydrogeology; Water resource management; Groundwater resources; Environmental science; Geology; Hydrology (agriculture); Mining engineering; Aquifer; 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":[],"consensus_categories":[],"category_scores_codex":[0.001964165,0.0001903802,0.0001434296,0.0001258401,0.0008498737,0.0003839507,0.0008935175,0.00009555297,0.0001925676],"category_scores_gemma":[0.00002291876,0.00008871847,0.00007727072,0.0003065885,0.0002848505,0.0001613722,0.0001261784,0.0006812117,0.00006073797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005385566,"about_ca_system_score_gemma":0.000005179191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000765458,"about_ca_topic_score_gemma":0.0005013958,"domain_scores_codex":[0.9982743,0.0004211182,0.0003925826,0.0001499295,0.0002817233,0.0004803395],"domain_scores_gemma":[0.9993064,0.0002213787,0.00009790545,0.0002937987,0.00004555059,0.00003490748],"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":[0.0003900563,0.0002603933,0.2063446,0.0001553674,0.001349551,0.0006450479,0.2360728,0.4788499,0.0008531362,0.0266364,0.045201,0.003241735],"study_design_scores_gemma":[0.004817106,0.0007556389,0.06421246,0.0003377869,0.0005984683,0.002512123,0.08330837,0.4336617,0.002265278,0.09745925,0.3082015,0.001870257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690508,0.0003269674,0.006597714,0.007461558,0.0003553177,0.0002054431,2.432226e-7,0.00008839079,0.01591359],"genre_scores_gemma":[0.9970116,0.0000797709,0.0001610105,0.001809113,0.0007094925,0.000009030675,0.000003180305,0.00003222619,0.0001845689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2630005,"threshold_uncertainty_score":0.6536627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009797598177542076,"score_gpt":0.21567209636676,"score_spread":0.205874498189218,"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."}}