{"id":"W4416949918","doi":"10.1038/d41586-025-03932-6","title":"Geothermal networks let cities warm and cool as one","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Upgrade; Flexibility (engineering); Renewable energy; Geothermal gradient; Heating system; Greenhouse gas","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005789119,0.0003085868,0.0002026074,0.0005708595,0.001886476,0.005060399,0.0005275842,0.001257222,0.01970703],"category_scores_gemma":[0.002534963,0.0002265482,0.0003480203,0.001238177,0.002626797,0.005179666,0.002534105,0.001756369,0.002187259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007858,"about_ca_system_score_gemma":0.002470219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009744963,"about_ca_topic_score_gemma":0.0317515,"domain_scores_codex":[0.9996364,0.0001107047,0.000008070399,0.00005700031,0.0000900728,0.00009763586],"domain_scores_gemma":[0.9991956,0.0001367122,0.0001142747,0.0001724105,0.0001883125,0.0001927151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001651299,0.00008792399,0.01008363,0.0001576917,0.00007902235,0.0001743229,0.002354978,0.01377264,0.001224564,0.8040677,0.1065913,0.06124118],"study_design_scores_gemma":[0.00005426908,0.00006651242,0.007034219,0.000200377,0.00007289246,0.00007541057,0.005954572,0.003405679,0.001372102,0.3347296,0.6469776,0.00005669956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1355574,0.00396064,0.03846851,0.1547651,0.009080321,0.00009436296,0.002023276,0.001110542,0.6549398],"genre_scores_gemma":[0.897696,0.002397919,0.00477439,0.007748114,0.0005134483,0.0001170694,0.0002644054,0.0002626264,0.08622599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01970703,"threshold_uncertainty_score":0.06592655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005023829064436937,"score_gpt":0.2254434640610048,"score_spread":0.2204196349965678,"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."}}