{"id":"W2047670198","doi":"10.3390/en7042573","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":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Helmholtz-Alberta Initiative; University of Alberta","keywords":"Geothermal gradient; Aquifer; Foreland basin; Structural basin; Geology; Sedimentary basin; Sedimentary rock; Geothermal heating; Geothermal exploration; Hydrology (agriculture); Geothermal energy; Petrology; Geomorphology; Earth science; Geochemistry; Groundwater; Geophysics; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001375592,0.0001076804,0.0001876986,0.00003718457,0.0001031661,0.000007209155,0.0002116055,0.00005757017,0.00003733062],"category_scores_gemma":[0.0001197928,0.00007024865,0.00005818409,0.0001757779,0.00006023467,0.00004071927,0.00005125808,0.00007160166,1.875692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134584,"about_ca_system_score_gemma":0.0001716072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9157935,"about_ca_topic_score_gemma":0.9750889,"domain_scores_codex":[0.9986023,0.0004615287,0.0004196648,0.0001855202,0.0001486513,0.0001823886],"domain_scores_gemma":[0.9987502,0.0004808383,0.0001191965,0.0005518879,0.00007575892,0.00002213682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002680229,0.00009697951,0.04501306,0.0000358057,0.0000192878,4.039106e-7,0.0005577329,0.930519,0.0005782968,0.01672754,0.0002471891,0.006177824],"study_design_scores_gemma":[0.002069329,0.00004100859,0.5370574,0.00007801156,0.00006045753,0.0000219116,0.0007908154,0.3861809,0.004783022,0.002901048,0.06580469,0.0002114193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995042,0.00004917265,0.0006778102,0.002105535,0.00007721029,0.0004733133,0.0001886834,0.000006901217,0.001379324],"genre_scores_gemma":[0.9990019,0.000001275858,0.0001003848,0.000289506,0.00007031375,0.0003967175,0.00004003927,0.00001495187,0.00008486983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5443382,"threshold_uncertainty_score":0.2864657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009513731161765576,"score_gpt":0.2321023988562755,"score_spread":0.2225886676945099,"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."}}