{"id":"W2561416246","doi":"10.2495/sdp-v12-n1-176-184","title":"Influence of underground structures and infrastructures on the groundwater level in the urban area of milan, italy","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Civil engineering; Environmental science; Water resource management; Geology; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564799,0.0001781651,0.0002058203,0.0005639145,0.000187371,0.0008075043,0.0002279179,0.0002492763,0.001199797],"category_scores_gemma":[0.0006779288,0.0001577953,0.0002962851,0.0008252839,0.0005044453,0.0002929268,0.000489212,0.0001203417,0.0001375323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450133,"about_ca_system_score_gemma":0.0005542281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04845551,"about_ca_topic_score_gemma":0.06411272,"domain_scores_codex":[0.9998081,0.00007352448,0.000007506559,0.00003834459,0.00002602569,0.0000465086],"domain_scores_gemma":[0.9997039,0.0001203702,0.00007598349,0.00002466872,0.00003658266,0.00003836858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003243737,0.0001579205,0.8078191,0.00009919593,0.0001442105,0.001722654,0.00105526,0.1616064,0.003471226,0.003030763,0.001649985,0.01891897],"study_design_scores_gemma":[0.00002034205,0.00009958266,0.9455158,0.00001850639,0.00007013688,0.0001395164,0.0007658593,0.05115611,0.0003218417,0.0004506039,0.001417041,0.0000246392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977455,0.00007499904,0.0001917359,0.00005892662,0.000002274955,0.000002997753,0.0001058564,0.00001833556,0.001799418],"genre_scores_gemma":[0.9996152,0.00003776664,0.00006208135,0.000002337699,0.00000195706,0.00000203103,0.00005803087,0.000002580694,0.0002181148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04845551,"threshold_uncertainty_score":0.09634691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378055315720025,"score_gpt":0.2291417669001249,"score_spread":0.1913362353281224,"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."}}