{"id":"W2091013873","doi":"10.3997/2214-4609.20144204","title":"Developing Engineered Geothermal Systems (EGS) in Alberta, Canada","year":2011,"lang":"en","type":"article","venue":"Proceedings","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geothermal gradient; Geothermal energy; Context (archaeology); Asphalt; Geothermal heating; Oil sands; Environmental science; Thermal energy; Fossil fuel; Geology; Earth science; Mining engineering; Waste management; Archaeology; Engineering; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.00007347281,0.0001247986,0.0001618943,0.0001257263,0.0000231483,0.00002530425,0.0001359274,0.00005465511,0.00003822961],"category_scores_gemma":[0.00002065493,0.0001210389,0.00002257376,0.0003442891,0.000007003414,0.0001585265,0.00001395738,0.0001084609,0.00001762807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858492,"about_ca_system_score_gemma":0.0000672426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.409476,"about_ca_topic_score_gemma":0.3447832,"domain_scores_codex":[0.999267,0.000002218015,0.0002211601,0.000122027,0.0001403821,0.0002471678],"domain_scores_gemma":[0.9998071,0.000008447658,0.00002013436,0.00005098874,0.00004099056,0.00007233087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000148849,0.000276911,0.2371545,0.007105176,0.002373711,0.0003183496,0.1115258,0.4227711,0.02595994,0.1487722,0.03651374,0.007079751],"study_design_scores_gemma":[0.0005866739,0.0000151378,0.007831684,0.0001824616,0.00003204602,0.00001664472,0.002515865,0.9475533,0.0114346,0.00013573,0.02883015,0.0008656888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391509,0.0002460221,0.001258482,0.0001636158,0.0003962876,0.0001848429,0.000001766665,0.0002125879,0.05838546],"genre_scores_gemma":[0.9992667,0.00002768094,0.0002057581,0.00003891053,0.00004614677,0.00003806709,0.000002559574,0.00002750877,0.0003466981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5247822,"threshold_uncertainty_score":0.6671728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664845727426915,"score_gpt":0.183192913272686,"score_spread":0.1665444559984169,"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."}}