{"id":"W2014884832","doi":"10.1111/gwat.12196","title":"Geothermal Waste Heat Utilization from In Situ Thermal Bitumen Recovery Operations","year":2014,"lang":"en","type":"article","venue":"Ground Water","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Western University","funders":"","keywords":"Piping; Borehole; Extraction (chemistry); Asphalt; Geothermal gradient; Petroleum engineering; Heat exchanger; Environmental science; Geothermal energy; Thermal energy; Drilling; Energy recovery; Geology; Geotechnical engineering; Materials science; Environmental engineering; Engineering; Energy (signal processing); Chemistry; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002099642,0.0004253115,0.0003494836,0.0003250603,0.0003418444,0.0005176828,0.0003541221,0.0003167502,0.001427849],"category_scores_gemma":[0.0003052645,0.0001896941,0.0004732271,0.000484215,0.000278432,0.0005012536,0.0002747261,0.0003158067,0.0002007339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009092561,"about_ca_system_score_gemma":0.0004998001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313179,"about_ca_topic_score_gemma":0.02625525,"domain_scores_codex":[0.9998913,0.00001260702,0.00000553547,0.00001641306,0.00003914756,0.00003507234],"domain_scores_gemma":[0.9998548,0.00005232135,0.00002097373,0.00001708678,0.00004195603,0.00001278374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001257403,0.0004844762,0.02622486,0.000556646,0.00005959387,0.001125982,0.0003205078,0.4408282,0.4812579,0.0005778336,0.0006757996,0.04663076],"study_design_scores_gemma":[0.00006598306,0.001444909,0.02634058,0.00002688114,0.0000833154,0.000253314,0.0005269905,0.2178789,0.7509362,0.0003545823,0.002043769,0.00004459454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970151,0.00003581529,0.001602279,0.00001625355,0.000003426381,0.00001042642,0.0001547179,0.00004670152,0.001115234],"genre_scores_gemma":[0.9983815,0.00005424069,0.0007835588,0.000003043548,5.446757e-7,0.000006739257,0.0001530417,0.00001038443,0.0006069046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313179,"threshold_uncertainty_score":0.02611071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175847291753335,"score_gpt":0.2180250165937895,"score_spread":0.200440287418456,"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."}}