{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008158067,0.0003935949,0.0006135956,0.0004093664,0.0002657426,0.00101359,0.0005566378,0.0005050983,0.003136991],"category_scores_gemma":[0.001305226,0.0002028867,0.0005018507,0.0005311799,0.0002269174,0.0006439188,0.0003777254,0.000413166,0.0002819007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663646,"about_ca_system_score_gemma":0.0006707535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568595,"about_ca_topic_score_gemma":0.01675647,"domain_scores_codex":[0.9998063,0.00006745146,0.00001237743,0.00002873426,0.00006519855,0.00001988484],"domain_scores_gemma":[0.9991424,0.0005631203,0.00003579651,0.00005729149,0.0001716945,0.00002950401],"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":[0.0009060429,0.0008040059,0.008362408,0.0005882539,0.0001470607,0.00008629682,0.0005016681,0.8565647,0.02402605,0.002446654,0.003289103,0.1022777],"study_design_scores_gemma":[0.0000961674,0.000465784,0.007831481,0.00003671308,0.0000769792,0.00002247286,0.0003093576,0.9770811,0.009802281,0.0003720237,0.003865816,0.00003976989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284496,0.0005085419,0.04152611,0.0004548257,0.0001572224,0.000190328,0.001047071,0.001844674,0.02582157],"genre_scores_gemma":[0.9746636,0.0004189925,0.02226727,0.00003057167,0.00001758576,0.00007955108,0.0003982813,0.0001449444,0.001979281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568595,"threshold_uncertainty_score":0.03118926,"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."}}