{"id":"W4392626997","doi":"10.1016/j.engappai.2024.108158","title":"Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids","year":2024,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Nanofluid; Computer science; Thermal; Artificial intelligence; Thermodynamics; Physics","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":[0.0005174985,0.0001865416,0.0002708248,0.000172941,0.0001553357,0.00003409607,0.0002177628,0.00009520572,0.00003274147],"category_scores_gemma":[0.00006509735,0.0001462291,0.00008412352,0.0004458903,0.00003950509,0.00008763546,0.00003696475,0.000152217,0.000008499519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661072,"about_ca_system_score_gemma":0.0000633376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631662,"about_ca_topic_score_gemma":0.00002742547,"domain_scores_codex":[0.9985915,0.0000226618,0.0006290734,0.0002689371,0.0002125679,0.0002752132],"domain_scores_gemma":[0.9992321,0.0002895572,0.0001074033,0.0001747502,0.0001433475,0.00005283111],"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":[0.00003689783,0.00003090423,0.00001199958,0.00008519645,0.0001135181,3.407283e-7,0.00279517,0.6288116,0.3618831,0.001521655,5.26644e-7,0.004709133],"study_design_scores_gemma":[0.00002933616,0.00003455657,0.000002461599,0.0001164138,0.00002167187,0.000001002396,0.00008103839,0.5446551,0.4544065,0.000084126,0.000466344,0.0001015176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3013401,0.0002429657,0.6975614,0.000005474138,0.00008599269,0.0004331456,0.00001614267,0.0001818489,0.0001329307],"genre_scores_gemma":[0.9826663,0.000004877724,0.01660734,0.000001496858,0.00004904341,0.0004199545,0.00006189434,0.00005037783,0.0001387771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6813262,"threshold_uncertainty_score":0.5963048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542121280179114,"score_gpt":0.2329041741101992,"score_spread":0.2074829613084081,"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."}}