{"id":"W4376870102","doi":"10.1016/j.enganabound.2023.05.025","title":"Simulation of parabolic trough solar collectors using various discretization approaches: A review","year":2023,"lang":"en","type":"review","venue":"Engineering Analysis with Boundary Elements","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Parabolic trough; Discretization; Trough (economics); Computer science; Turbulence; Applied mathematics; Mechanics; Meteorology; Physics; Mathematics; Thermal; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006590533,0.0006240563,0.002890695,0.0008259992,0.0001465452,0.00007854245,0.0003171523,0.0002165909,0.00007863643],"category_scores_gemma":[0.0001510112,0.0004940957,0.0008299681,0.005648899,0.00003094939,0.0001228592,0.00005931838,0.0002767923,0.0000187443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927839,"about_ca_system_score_gemma":0.0002184497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009421922,"about_ca_topic_score_gemma":0.0001038317,"domain_scores_codex":[0.9966075,0.0002722662,0.001526073,0.0005598913,0.0006284094,0.0004058997],"domain_scores_gemma":[0.9976441,0.0002286909,0.001270648,0.0006561046,0.00009766326,0.0001027521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006057561,0.00004067177,0.00009114789,0.04106184,0.01059574,0.00000791614,0.0001224526,0.9195277,0.000001069065,0.00002331959,0.000007485249,0.02851457],"study_design_scores_gemma":[0.000200475,0.00004464804,0.000008605499,0.02904602,0.02118012,0.000004523671,0.00001342779,0.4234407,0.000001469845,0.000003209715,0.5254678,0.0005890927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007123604,0.9535288,0.04499304,9.007375e-7,0.000134934,0.0009721327,0.00008686452,0.0001632787,0.00004887416],"genre_scores_gemma":[0.001538266,0.9951019,0.0005867007,0.000007173583,0.0001629398,0.000219324,0.001801163,0.0002013893,0.0003811974],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5254603,"threshold_uncertainty_score":0.9997511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07077475076669248,"score_gpt":0.3031233282010365,"score_spread":0.232348577434344,"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."}}