{"id":"W3089796298","doi":"10.5194/egusphere-egu21-589","title":"Long-Term Global Ground Heat Flux and Continental Heat Storage from Geothermal Data","year":2021,"lang":"en","type":"article","venue":"","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Memorial University of Newfoundland","funders":"","keywords":"Geothermal gradient; Climate change; Borehole; Thermal energy storage; Environmental science; Heat flux; Continental shelf; Permafrost; Climatology; Geothermal heating; Global warming; Geothermal energy; Earth science; Geology; Atmospheric sciences; Heat transfer; Geophysics; Oceanography; Physics; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281263,0.0003972915,0.0002780389,0.001521417,0.0001221235,0.0005192324,0.0003607441,0.0003482022,0.002409996],"category_scores_gemma":[0.001088516,0.0001628837,0.0005746484,0.003305236,0.0001658717,0.0006048071,0.0004311023,0.0003034735,0.001300565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179835,"about_ca_system_score_gemma":0.0003440583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627254,"about_ca_topic_score_gemma":0.02349278,"domain_scores_codex":[0.9998105,0.00001892076,0.00002483622,0.00006191077,0.00005850336,0.00002532948],"domain_scores_gemma":[0.9993573,0.0000908873,0.0001563209,0.000152779,0.0002076148,0.00003513192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002927054,0.0001342527,0.7743484,0.0008165198,0.0007191884,0.0004057244,0.0004179744,0.05651259,0.0133126,0.001755586,0.05892969,0.09235485],"study_design_scores_gemma":[0.00003687746,0.00003832215,0.9380699,0.00006080246,0.00009766743,0.0001715654,0.0002125775,0.02322554,0.004922933,0.0005772442,0.03252879,0.00005768784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344911,0.0005171055,0.005113774,0.000135702,0.00005382266,0.00002699146,0.4535807,0.000847602,0.005233191],"genre_scores_gemma":[0.6193318,0.0004137433,0.004801336,0.00003231692,0.00003573151,0.00007095447,0.3739002,0.00009296215,0.001320951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627254,"threshold_uncertainty_score":0.03235567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254968238861949,"score_gpt":0.2562462090281476,"score_spread":0.2336965266395281,"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."}}