{"id":"W2144633594","doi":"10.5897/jmer11.065","title":"Transient and dynamic performance of solar driven multiple effect distillation","year":2012,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass flow rate; Transient (computer programming); Mechanics; Environmental science; Bundle; Volumetric flow rate; Multiple-effect distillation; Distillation; Thermal; Brine; Mass flow; Dynamic simulation; Water flow; Materials science; Thermodynamics; Simulation; Chemistry; Environmental engineering; Engineering; Physics; Computer science","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":[0.001169093,0.00009459595,0.0001873514,0.00008992697,0.000053658,0.00001026107,0.0001030469,0.00009047162,0.00003040619],"category_scores_gemma":[0.0002911202,0.00007804713,0.00004015714,0.0001855335,0.00002257212,0.00008225325,0.00005036928,0.0002501767,0.00002035914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004689195,"about_ca_system_score_gemma":0.000005833784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185179,"about_ca_topic_score_gemma":0.00001026697,"domain_scores_codex":[0.9988725,0.0001069864,0.0001667818,0.0001288652,0.0003321701,0.0003926496],"domain_scores_gemma":[0.9991793,0.0004484708,0.00002123666,0.0001733524,0.00004253282,0.0001351133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001417907,0.00005202421,0.008923084,0.0005795118,0.00004402242,0.000001405021,0.0004162851,0.01043776,0.9622399,0.001104561,0.000007262011,0.01605237],"study_design_scores_gemma":[0.000514749,0.0002951623,0.02963703,0.0001141687,0.000008078282,0.000009377853,0.00001568983,0.8623261,0.104534,0.000009550494,0.002410975,0.000125067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968603,0.0002428195,0.002355291,0.00001049788,0.0001698893,0.0001918837,0.000003533061,0.00004756984,0.0001182735],"genre_scores_gemma":[0.999585,0.00002459449,0.0001847175,0.00000129046,0.00009484904,0.00003291408,0.000005995943,0.00002277697,0.00004791124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8577059,"threshold_uncertainty_score":0.318267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077258530359815,"score_gpt":0.2717345129033322,"score_spread":0.2509619275997341,"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."}}