{"id":"W7074258876","doi":"","title":"Implications of Spatial Variability in Heat Flow for Geothermal Resource Evaluation in Large Foreland Basins: The Case of the Western Canada Sedimentary Basin","year":2014,"lang":"","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Foreland basin; Geothermal gradient; Spatial variability; Structural basin; Resource (disambiguation); Heat flow; Sedimentary rock","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03466023,0.0002173917,0.0004811017,0.0005199434,0.000850927,0.0001656499,0.001315021,0.00009568466,0.0008216054],"category_scores_gemma":[0.005267209,0.0001837542,0.0001503007,0.001394801,0.0007722112,0.0006652648,0.0006202715,0.0002842826,0.0000117411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008780645,"about_ca_system_score_gemma":0.001151238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4133802,"about_ca_topic_score_gemma":0.712465,"domain_scores_codex":[0.9952626,0.0007274515,0.001532261,0.001098459,0.0003666715,0.001012586],"domain_scores_gemma":[0.9946097,0.002286095,0.0006300191,0.001561494,0.0007538972,0.0001588682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003234758,0.001751475,0.6770851,0.0007073982,0.0001189304,0.000001163744,0.005699933,0.002569506,0.000017273,0.04849167,0.2422379,0.02099624],"study_design_scores_gemma":[0.002247873,0.0000510226,0.153463,0.00006393163,0.00002516113,0.000004208606,0.001659638,0.5190957,0.00006935617,0.0020727,0.3210258,0.0002216436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6661246,0.000665949,0.008969162,0.06984519,0.002735565,0.01431902,0.2321285,0.00001376878,0.005198197],"genre_scores_gemma":[0.995465,0.00005838152,0.0002694613,0.0004632382,0.0001197022,0.0006171637,0.001387989,0.00001854508,0.001600531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236221,"threshold_uncertainty_score":0.9940205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05259695711506399,"score_gpt":0.3035564687312271,"score_spread":0.2509595116161631,"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."}}