{"id":"W4395667942","doi":"10.18280/mmep.110405","title":"Optimisation of Thermal Efficiency in Parabolic Trough Solar Collectors: A Numerical Simulation Study Across Seasonal Variations","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parabolic trough; Environmental science; Thermal; Trough (economics); Atmospheric sciences; Computer simulation; Meteorology; Mechanics; Physics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616993,0.0001562844,0.0002682444,0.000077927,0.00005344722,0.00007409049,0.00007261972,0.0000859289,0.00002202883],"category_scores_gemma":[0.00005446267,0.0001323984,0.00005322237,0.0003703072,0.00001504344,0.0001019891,0.00002311339,0.0001612205,0.00000867728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003607328,"about_ca_system_score_gemma":0.00001663216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000245199,"about_ca_topic_score_gemma":0.000002710433,"domain_scores_codex":[0.9988529,0.00004588313,0.0004265189,0.0002254364,0.0002093354,0.0002398877],"domain_scores_gemma":[0.9993861,0.0003634094,0.00004325448,0.0001224918,0.00002832316,0.00005641435],"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":[0.00001012009,0.0002079365,0.0001321647,0.0003602564,0.00003710473,0.000002406547,0.01186225,0.9821977,0.001651745,0.003052294,2.627103e-7,0.0004857707],"study_design_scores_gemma":[0.0002744421,0.00007721963,0.0001250626,0.0002689222,0.00002090025,0.000003970621,0.0001327048,0.9972638,0.0001485498,0.001500664,0.00004324577,0.0001404685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.553242,0.0001467266,0.4461699,0.000006780724,0.00005508937,0.0002187198,0.000003085661,0.00008512168,0.00007257012],"genre_scores_gemma":[0.9972796,0.000004010556,0.002486818,0.000001942489,0.00005934026,0.00008311896,0.000004224166,0.00003061239,0.00005029961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4440376,"threshold_uncertainty_score":0.5399048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923778460348595,"score_gpt":0.2591741290848397,"score_spread":0.2299363444813537,"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."}}