{"id":"W4245077531","doi":"10.5383/ijtee.07.02.005","title":"Modeling Triple Solar Still Production Using Jordan Weather Data and Artificial Neural Networks","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solar still; Environmental science; Artificial neural network; Structural basin; Meteorology; Atmospheric sciences; Computer science; Geology; Artificial intelligence; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004142243,0.0006233455,0.000358699,0.0004859218,0.000218563,0.000630768,0.0004079576,0.0006038633,0.0007282482],"category_scores_gemma":[0.001086567,0.0003370885,0.0004215952,0.0006819665,0.0001887753,0.0007534774,0.000271037,0.0004382129,0.0001536025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380451,"about_ca_system_score_gemma":0.0004705422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053236,"about_ca_topic_score_gemma":0.01999784,"domain_scores_codex":[0.9998586,0.00003410273,0.00001308396,0.00004169954,0.00003051409,0.00002188031],"domain_scores_gemma":[0.999534,0.0002645059,0.00006401233,0.00002579846,0.00009088941,0.00002082463],"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":[0.00003691063,0.00003718143,0.005236579,0.00001769048,0.0000192691,0.00004920978,0.00001110938,0.9895288,0.0007501885,0.0001149786,0.00009238828,0.004105586],"study_design_scores_gemma":[0.00000158741,0.000006995356,0.00149831,0.000001199433,0.000001902857,0.000001835633,0.000005384117,0.9981098,0.0002684884,0.0000623641,0.00003990895,0.000002257161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689744,0.0001177507,0.02793145,0.00008671352,0.00002558944,0.00003467487,0.0005707268,0.0001876271,0.002070993],"genre_scores_gemma":[0.9949007,0.00006779457,0.003867041,0.000006640571,0.000006254252,0.00002554531,0.0004520266,0.00001034562,0.0006635365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02053236,"threshold_uncertainty_score":0.04082572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274901341671573,"score_gpt":0.2461994299127645,"score_spread":0.2187092957456072,"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."}}