{"id":"W4408466506","doi":"10.5194/egusphere-egu25-16529","title":"Groundwater temperature variations in the Turin metropolitan area (Piedmont, NW Italy): what is the future?","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Groundwater; Geography; Hydrology (agriculture); Physical geography; Archaeology; Water resource management; Geology; Environmental 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":[],"category_scores_codex":[0.0008869566,0.0003626579,0.0004221035,0.0001969871,0.0003576921,0.0008855906,0.001193787,0.0005188463,0.003346448],"category_scores_gemma":[0.00001304544,0.0001628048,0.0002340566,0.0003464593,0.0001135298,0.0002774186,0.0001149542,0.001114854,0.0001343755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002856584,"about_ca_system_score_gemma":0.0001468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03564134,"about_ca_topic_score_gemma":0.1445505,"domain_scores_codex":[0.9976515,0.0004862839,0.0004670498,0.0005758713,0.0003598912,0.0004594086],"domain_scores_gemma":[0.9984471,0.0003410924,0.0001281678,0.000964158,0.00005744172,0.00006199416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001495631,0.0003981531,0.575456,0.0006924064,0.00147933,0.000234617,0.04069228,0.004377763,0.00001479198,0.1269519,0.2356345,0.01391872],"study_design_scores_gemma":[0.000652682,0.0001638883,0.4678243,0.0003353464,0.000272402,0.0001359992,0.03869604,0.006191291,0.00003430197,0.06084403,0.4236586,0.001191072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4201661,0.05107335,0.0002462367,0.2199668,0.01847474,0.004504506,0.001142431,0.0002370346,0.2841889],"genre_scores_gemma":[0.9817768,0.001105152,0.0001312911,0.006840558,0.0008803653,0.00003189745,0.0004984813,0.000004372866,0.008731112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5616107,"threshold_uncertainty_score":0.9975646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163950427556394,"score_gpt":0.2226449806861077,"score_spread":0.2110054764105438,"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."}}