{"id":"W4388881907","doi":"10.2139/ssrn.4639805","title":"Thermodynamic Analysis of a Multiple Energy Production System Based on Geothermal Energy for Commissioning in Canada and Optimization by Response Surface Method","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geothermal energy; Energy (signal processing); Geothermal gradient; Production (economics); Process engineering; Project commissioning; Environmental science; Response surface methodology; Computer science; Engineering; Petroleum engineering; Geology; Mathematics; Statistics; Economics; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002287701,0.0003476454,0.0006523753,0.0007782979,0.0000931889,0.00003856843,0.0002141899,0.000269085,0.000002219156],"category_scores_gemma":[0.0001430242,0.0003458979,0.0001366726,0.0007552379,0.00001186981,0.00006427399,0.00002864416,0.0008649697,3.609147e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007415104,"about_ca_system_score_gemma":0.003349979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5804234,"about_ca_topic_score_gemma":0.810833,"domain_scores_codex":[0.9969986,0.0006464648,0.000735648,0.0003853152,0.0003130724,0.0009208778],"domain_scores_gemma":[0.9986351,0.0003865573,0.0004057737,0.000307999,0.0001992752,0.00006536336],"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":[0.0004427804,0.00001350453,0.0002196007,0.00009227313,0.0008846316,0.000001542372,0.00005037224,0.9951383,0.002088118,0.0004494088,0.00002843751,0.0005910682],"study_design_scores_gemma":[0.0004503016,0.00005635204,0.00007582689,0.0003455853,0.0002743516,0.00000978444,0.0005468761,0.9967081,0.001164897,0.00006813859,0.00001923526,0.0002805567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09146284,0.000581446,0.9070836,0.00006290426,0.0004450577,0.0001708433,0.00008409965,0.00009232027,0.00001688087],"genre_scores_gemma":[0.9945898,0.0004350194,0.00415239,0.000006848682,0.00004342559,0.00006047166,0.0003405255,0.0001285049,0.0002430242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.903127,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005594718700509854,"score_gpt":0.207665799778548,"score_spread":0.2020710810780381,"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."}}