{"id":"W4389223802","doi":"10.1088/1742-6596/2600/17/172001","title":"Veggies and PV: Optimization of Building-Integrated Agriculture in an Energy Hub","year":2023,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eidgenössische Technische Hochschule Zürich; Nanyang Technological University; Singapore-ETH Centre; National University of Singapore; Branco Weiss Fellowship – Society in Science; Singapore University of Technology and Design; National Research Foundation","keywords":"Renewable energy; Agricultural engineering; Photovoltaic system; Environmental science; Environmental economics; Electricity; Solar energy; Zero-energy building; Multi-objective optimization; Computer science; Engineering; Economics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005646306,0.0008211883,0.0009808948,0.0005484745,0.0004656117,0.00143199,0.0007866304,0.001429508,0.00535598],"category_scores_gemma":[0.001096704,0.0005836958,0.0007523029,0.0007488475,0.0006286429,0.0006810497,0.0008985376,0.0008956391,0.0003090694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284042,"about_ca_system_score_gemma":0.001157521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251858,"about_ca_topic_score_gemma":0.01523764,"domain_scores_codex":[0.9997686,0.0000841826,0.00000498505,0.00003445321,0.00003463031,0.00007314461],"domain_scores_gemma":[0.9995437,0.0002722003,0.00004513966,0.00001708694,0.00005260788,0.00006914278],"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":[0.00001714324,0.00001427905,0.0001517958,0.000005794052,0.000004540588,0.00002164927,0.000002498082,0.998541,0.0001383088,0.0003570062,0.00008604414,0.0006600283],"study_design_scores_gemma":[0.000009038537,0.00003072061,0.0001633386,0.00000260002,0.000003916679,0.00000390164,0.00001451951,0.999155,0.0000754152,0.0003835737,0.0001556897,0.000002290386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601262,0.0007589877,0.1935209,0.0008918847,0.00009413744,0.0001889811,0.0008124762,0.0003586363,0.04324778],"genre_scores_gemma":[0.9862809,0.0001086228,0.009048117,0.00005052643,0.000005885474,0.00005816621,0.0001073063,0.00003261708,0.004307815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02251858,"threshold_uncertainty_score":0.04477501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787764371733971,"score_gpt":0.2196449129949958,"score_spread":0.2017672692776561,"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."}}