{"id":"W3129148592","doi":"10.7492/ijaec.2015.023","title":"Initiatives in Climate Responsive and Energy Efficient Architecture","year":2015,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Architecture; Efficient energy use; Computer science; Environmental science; Environmental resource management; Computer architecture; Architectural engineering; Geography; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165925,0.00013803,0.0001618382,0.0005472386,0.00001649091,0.00003613703,0.00009219245,0.00005273387,0.000001548774],"category_scores_gemma":[0.00007822165,0.0001231325,0.00003539933,0.0001119868,0.00005199801,0.00006890148,0.00003220395,0.0002742627,2.771501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004848003,"about_ca_system_score_gemma":0.00003117981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003094237,"about_ca_topic_score_gemma":0.000002869685,"domain_scores_codex":[0.9992182,0.00003430664,0.0002753331,0.00009871919,0.0002428639,0.0001305376],"domain_scores_gemma":[0.9995356,0.000137663,0.00006454324,0.00004135849,0.0001158872,0.000104899],"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":[0.0001257317,0.000007127684,0.0003180839,0.00001208997,0.00006473976,0.0000558333,0.001154102,0.9195282,0.001031506,0.002547217,0.00001176887,0.07514364],"study_design_scores_gemma":[0.009012016,0.001090039,0.073102,0.001433957,0.0001355324,0.03111651,0.00215188,0.8070469,0.008513405,0.043511,0.02106015,0.001826532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7570398,0.001171456,0.2401101,0.0003425635,0.0008726939,0.00003026104,0.000008515519,0.00004537687,0.0003791703],"genre_scores_gemma":[0.9816548,0.0001419527,0.01789978,0.00004115792,0.0002397861,0.000002338995,0.000002670425,0.00001530196,0.000002188809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224615,"threshold_uncertainty_score":0.5021196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004344346246780179,"score_gpt":0.196559254248955,"score_spread":0.1922149080021748,"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."}}