{"id":"W2027214208","doi":"10.3390/e11040798","title":"Exergy as a Useful Variable for Quickly Assessing the Theoretical Maximum Power of Salinity Gradient Energy Systems","year":2009,"lang":"en","type":"article","venue":"Entropy","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Exergy; Salinity; Work (physics); Environmental science; Context (archaeology); Computer science; Energy transformation; Electricity; Reversed electrodialysis; Process engineering; Power (physics); Electricity generation; Hydrology (agriculture); Thermodynamics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009368079,0.0007060896,0.0005721917,0.001860245,0.0003390475,0.0009423089,0.0006150338,0.0005083566,0.004832434],"category_scores_gemma":[0.002828823,0.0002322291,0.0006440348,0.00103615,0.001357498,0.002940213,0.0007745473,0.0008905942,0.0005778843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005706828,"about_ca_system_score_gemma":0.0003178256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004842045,"about_ca_topic_score_gemma":0.000409367,"domain_scores_codex":[0.9996984,0.00008277734,0.0000247112,0.00003432565,0.0001371631,0.00002269109],"domain_scores_gemma":[0.9992918,0.0005457693,0.00005208067,0.00004118714,0.00005546661,0.00001366695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001640739,0.0001211029,0.00562886,0.0009461308,0.00008080134,0.0005228075,0.0005383281,0.2678941,0.06304276,0.535256,0.001653254,0.1241517],"study_design_scores_gemma":[0.00002572943,0.000452803,0.00841332,0.0001881694,0.00005233254,0.0005122792,0.0004121376,0.5376952,0.08294162,0.3363799,0.03277255,0.0001540618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076705,0.003179834,0.8543615,0.0005546162,0.0002288516,0.0001904798,0.0006168014,0.000511991,0.03268545],"genre_scores_gemma":[0.8391219,0.00275466,0.1468073,0.00009144501,0.00008819478,0.0003269866,0.0004374608,0.0003675561,0.01000449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004832434,"threshold_uncertainty_score":0.01616615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009253113681365676,"score_gpt":0.2582223932063626,"score_spread":0.2489692795249969,"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."}}