{"id":"W6990878582","doi":"","title":"Enhancing temperature control in greenhouses: A comparative anaylsis of TRNSYS simulation and real time data","year":2023,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"First Nations University of Canada; University of Regina","funders":"University of Regina","keywords":"TRNSYS; Control (management); Degree (music); Temperature control; Control system; Real-time Control System; Real-time simulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002093949,0.0001620432,0.0005412842,0.00008384145,0.0001145894,0.000008540537,0.0004134156,0.0004201115,0.00001110865],"category_scores_gemma":[0.00003430627,0.0001024081,0.00005985102,0.0004138857,0.0001011816,0.0001712284,0.00006696937,0.0002095377,0.000009938066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002668667,"about_ca_system_score_gemma":0.00002220273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005280846,"about_ca_topic_score_gemma":0.1194807,"domain_scores_codex":[0.9991865,0.00008857697,0.00003635788,0.0003651623,0.0001530924,0.0001703831],"domain_scores_gemma":[0.9990671,0.0002990889,0.0003347365,0.0001478584,0.0001124595,0.00003876991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002848678,0.0002512907,0.02915892,0.0006967071,0.000687816,0.0001601287,0.005897619,0.0004687586,0.9028617,0.0005845455,0.03998797,0.01639589],"study_design_scores_gemma":[0.00446047,0.001474874,0.7834687,0.002086649,0.0009329998,0.000005424294,0.1661777,0.01411207,0.001249805,0.0001032119,0.02457296,0.001355133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978807,0.0001349737,0.000001963451,0.02028782,0.00003381507,0.0002860162,0.0002532591,0.00008138746,0.0001137655],"genre_scores_gemma":[0.9909548,0.0003256059,0.00004113821,0.000004994231,0.00001801102,4.699229e-7,0.0008169072,0.000002219557,0.007835864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9016119,"threshold_uncertainty_score":0.8965865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333224475388319,"score_gpt":0.2435588458462651,"score_spread":0.2202266010923819,"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."}}