{"id":"W4409368431","doi":"10.3390/en18081957","title":"The Strategic Selection of Concentrated Solar Thermal Power Technologies in Developing Countries Using a Fuzzy Decision Framework","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; Concordia University","funders":"Islamic University of Madinah","keywords":"Selection (genetic algorithm); Concentrated solar power; Fuzzy logic; Power (physics); Solar power; Thermal; Environmental economics; Computer science; Business; Engineering; Renewable energy; Economics; Artificial intelligence; Electrical engineering; Geography; Physics; Meteorology; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002462844,0.00009003507,0.0001127289,0.0001294682,0.0002069563,0.0001743794,0.000416912,0.0001163814,0.000002264038],"category_scores_gemma":[0.0001327384,0.00006679176,0.00002488422,0.001024525,0.00008998915,0.000210011,0.0001005736,0.0001433807,0.000001050224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007701178,"about_ca_system_score_gemma":0.0003079552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004543954,"about_ca_topic_score_gemma":0.00005900971,"domain_scores_codex":[0.9992357,0.00005487643,0.0002264457,0.0001580414,0.0001462432,0.0001786888],"domain_scores_gemma":[0.99916,0.0004095146,0.00008648546,0.0002032668,0.0001329458,0.000007790175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002727086,0.00001381924,0.01178872,0.00001009178,0.00002273484,0.00000217692,0.0006462869,0.02440386,0.004781232,0.9551545,0.00006268588,0.003086583],"study_design_scores_gemma":[0.0008267865,0.0001003005,0.03595762,0.0007150775,0.00001398457,0.000007470281,0.005999182,0.2417229,0.4162934,0.2851718,0.01263113,0.0005603213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179794,0.001002764,0.07965977,0.0003736737,0.000446271,0.00008219822,5.877627e-7,0.0001566605,0.0002987402],"genre_scores_gemma":[0.9772097,0.0003414986,0.02231593,0.0001060015,0.000006110675,0.000005574751,3.371464e-7,0.000003334065,0.00001147382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6699827,"threshold_uncertainty_score":0.2723689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553973190931472,"score_gpt":0.2725152817391411,"score_spread":0.2569755498298264,"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."}}