{"id":"W4405713496","doi":"10.2139/ssrn.5069716","title":"Energetic and Techno-Economic Analysis of Harvesting Energy from Low-Grade Heat by Thermo-Osmotic Energy Conversion","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy (signal processing); Heat energy; Economic analysis; Energy harvesting; Low energy; Environmental science; Thermodynamics; Materials science; Chemistry; Economics; Nuclear engineering; Physics; Agricultural economics; Mathematics; Engineering; Atomic physics; Statistics","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":[0.00072008,0.0004634773,0.0006505811,0.0008496552,0.0005791548,0.0017958,0.0006996688,0.0009794791,0.009164642],"category_scores_gemma":[0.001492896,0.0003866619,0.001124932,0.0008796083,0.001171368,0.001573093,0.0005892565,0.001112684,0.000484208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901301,"about_ca_system_score_gemma":0.0008956233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879212,"about_ca_topic_score_gemma":0.002257295,"domain_scores_codex":[0.9997924,0.00007003859,0.000006661484,0.00002208204,0.00006210546,0.00004669943],"domain_scores_gemma":[0.9993721,0.0004983163,0.00003225401,0.00002282859,0.00004910683,0.00002546424],"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":[0.0002618394,0.0002257711,0.002217739,0.0003398963,0.00007990435,0.0003503477,0.00006411653,0.7134405,0.01496165,0.2462433,0.002147803,0.01966717],"study_design_scores_gemma":[0.00002109238,0.00007262044,0.003474283,0.00002830469,0.00003712186,0.0001085283,0.0001072406,0.9146371,0.002353278,0.07748399,0.001652266,0.00002417842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6032445,0.006691625,0.1914324,0.005257579,0.0005256924,0.000206818,0.001006973,0.0001073033,0.1915271],"genre_scores_gemma":[0.9817377,0.0009782313,0.002946697,0.00006877084,0.00007427608,0.00005478635,0.0001012372,0.00003518016,0.01400302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009164642,"threshold_uncertainty_score":0.03065872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044035499708936,"score_gpt":0.2037989676570579,"score_spread":0.1987549321573489,"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."}}