{"id":"W2064108294","doi":"10.1016/j.renene.2013.12.044","title":"The feasibility and potential of geothermal heat in the deep Alberta foreland basin-Canada for CO2 savings","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Northwestern University","keywords":"Geothermal gradient; Foreland basin; Geothermal energy; Geothermal heating; Structural basin; Fossil fuel; Petroleum engineering; Geology; Environmental science; Range (aeronautics); Thermal energy; Sedimentary basin; Hydrology (agriculture); Waste management; Engineering; Geomorphology; Geotechnical 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":[0.000280843,0.0002387003,0.0001367142,0.0003571128,0.001967722,0.001758592,0.0005546258,0.0004047424,0.002886299],"category_scores_gemma":[0.0005841007,0.0001195384,0.0002428834,0.0005434445,0.0009061162,0.0005919374,0.0004883231,0.000477117,0.0001168696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0175922,"about_ca_system_score_gemma":0.02133706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968506,"about_ca_topic_score_gemma":0.9905657,"domain_scores_codex":[0.9997615,0.00002330804,0.00000364523,0.00002748125,0.00008019139,0.0001037504],"domain_scores_gemma":[0.9997995,0.00003269098,0.000008960182,0.00000665126,0.0001150659,0.00003721753],"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":[0.004044476,0.000377634,0.3793678,0.0007392301,0.0003788871,0.002452645,0.002253851,0.1496901,0.07092876,0.08439682,0.01732527,0.2880447],"study_design_scores_gemma":[0.0003882925,0.000491971,0.6025041,0.0003323694,0.0004612077,0.000442027,0.02499315,0.1550402,0.07151939,0.0216676,0.121939,0.0002208374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497385,0.001251401,0.001611739,0.001937419,0.00005181366,0.00004472256,0.0005658114,0.00004022711,0.04475832],"genre_scores_gemma":[0.9950591,0.0003415741,0.0007281023,0.00004207675,0.000003235526,0.00000499171,0.00007328195,0.000004666588,0.003742935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03149402,"threshold_uncertainty_score":0.1276409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008023521056421987,"score_gpt":0.2022834672171424,"score_spread":0.1942599461607204,"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."}}