{"id":"W4389584827","doi":"10.17118/11143/20940","title":"Dynamic thermal modeling of a commercial greenhouse in Quebec with a newTRNSYS type to estimate evapotranspiration","year":2023,"lang":"en","type":"article","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université de Sherbrooke","keywords":"TRNSYS; Greenhouse; Evapotranspiration; Environmental science; Thermal; Agricultural engineering; Meteorology; Engineering; Agronomy; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001022378,0.000513552,0.0002066793,0.0002414369,0.000734729,0.0004862366,0.0007794508,0.0004229197,0.002976699],"category_scores_gemma":[0.0001458854,0.0001565238,0.0003659246,0.0002718038,0.0003325808,0.0002449884,0.0001964668,0.0002707821,0.0002280174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00421904,"about_ca_system_score_gemma":0.002700445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8056217,"about_ca_topic_score_gemma":0.7837716,"domain_scores_codex":[0.9999487,0.000006440001,0.00000163244,0.00001575804,0.00001409986,0.00001335551],"domain_scores_gemma":[0.9999278,0.00001635163,0.00000679261,0.000004298754,0.0000372135,0.000007632638],"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":[0.00003438037,0.00002984114,0.004103337,0.00002137957,0.00001193677,0.00006237319,0.00003141827,0.9869463,0.003956584,0.000449087,0.0006261466,0.003727256],"study_design_scores_gemma":[0.000009291472,0.00001111711,0.003470124,0.000002983757,0.000004715367,0.000007674122,0.00002334228,0.9949857,0.0006542918,0.0000531707,0.0007711314,0.000006420089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898217,0.0001771335,0.06802878,0.0002147404,0.00004785162,0.0001552539,0.002690353,0.0006819665,0.03818225],"genre_scores_gemma":[0.9889587,0.00006041722,0.004448521,0.00001674104,0.000003743351,0.0000572159,0.0005967915,0.00002222002,0.005835585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943783,"threshold_uncertainty_score":0.391046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271701508144036,"score_gpt":0.2591513112505259,"score_spread":0.2364342961690856,"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."}}