{"id":"W2800928018","doi":"10.20944/preprints201805.0041.v1","title":"Energy-Based Performance Analysis of a Sustainable Farming Compartment with Evaporative Cooling System","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Relative humidity; Environmental science; Evaporative cooler; Abu dhabi; Air conditioning; Environmental engineering; Water cooling; Energy consumption; Hydrology (agriculture); Meteorology; Engineering; Mechanical engineering; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003165407,0.0003846865,0.0004303833,0.0003941485,0.0003094935,0.0004708397,0.0003716277,0.0003576142,0.001963419],"category_scores_gemma":[0.0003384736,0.0001392104,0.0003981406,0.0003432118,0.0001862611,0.0004016077,0.0002718126,0.0001645039,0.0003316547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006882417,"about_ca_system_score_gemma":0.0003162436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004816662,"about_ca_topic_score_gemma":0.005002135,"domain_scores_codex":[0.9998178,0.00002737753,0.00001135044,0.00003775203,0.0000769891,0.00002884089],"domain_scores_gemma":[0.9998069,0.00005939991,0.00002357541,0.00001537934,0.00008380445,0.00001089674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001848914,0.0004090212,0.0213579,0.0006405907,0.000145469,0.0004962021,0.0001631156,0.4310466,0.5031007,0.0007330811,0.0008097458,0.0392487],"study_design_scores_gemma":[0.00005863235,0.001907533,0.02495002,0.00002172844,0.0001420557,0.0001084116,0.000220696,0.7104537,0.2601784,0.0001999165,0.001715692,0.00004312786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918118,0.0001818617,0.006000157,0.00002804435,0.000009504076,0.0000306564,0.000174533,0.00008236392,0.00168115],"genre_scores_gemma":[0.9985828,0.00005045338,0.0006879216,0.000003734544,8.671195e-7,0.00001206347,0.00006155035,0.000005374293,0.0005952014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004816662,"threshold_uncertainty_score":0.009577215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09601783557886165,"score_gpt":0.3441455275473865,"score_spread":0.2481276919685249,"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."}}