{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001582305,0.0001685938,0.0001837605,0.00007921425,0.0001384433,0.0001088324,0.0001659813,0.0001178144,0.0008795719],"category_scores_gemma":[0.000005550796,0.0001235255,0.00006015348,0.00009635014,0.0000310998,0.0002851599,0.00004778795,0.00009320976,0.0006606256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004971081,"about_ca_system_score_gemma":0.00001101572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03454345,"about_ca_topic_score_gemma":0.0090495,"domain_scores_codex":[0.9988022,0.0001262086,0.0003152486,0.0003057756,0.0001350228,0.000315514],"domain_scores_gemma":[0.9994827,0.00002833185,0.00001867993,0.0003750756,0.00003319119,0.00006202776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002723939,0.0001184583,0.0008491233,0.0000088958,0.0000391653,0.000002391396,0.001324481,0.5611595,0.4138564,0.01493516,0.00008372996,0.007595487],"study_design_scores_gemma":[0.004158836,0.0002190261,0.06104957,0.0001501756,0.00008360465,0.00001439301,0.0008802604,0.1774241,0.269554,0.009387117,0.4753293,0.001749605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740555,0.00003036721,0.002574245,0.0005685742,0.0002068748,0.000140084,0.000008169236,0.00007554641,0.02234067],"genre_scores_gemma":[0.9948459,0.000005296335,0.0001501899,0.0004544235,0.0004644114,0.000120994,0.0002900282,0.0000412157,0.003627498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752455,"threshold_uncertainty_score":0.9718856,"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."}}