{"id":"W2294061364","doi":"10.5555/2873021.2873024","title":"Approaching biomimetics: optimization of resource use in buildings using a system dynamics modeling tool","year":2015,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"STELLA (programming language); Biomimetics; Computer science; System dynamics; Software; Systems engineering; Field (mathematics); Resource (disambiguation); Software architecture; Energy (signal processing); Architecture; Architectural engineering; Control engineering; Simulation; Engineering; Artificial intelligence","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":[0.0005086818,0.0007176573,0.0005303563,0.0004797303,0.0005655877,0.0009314527,0.000522352,0.001113099,0.003719501],"category_scores_gemma":[0.001185835,0.0004698864,0.0007965933,0.0004352232,0.0006104177,0.0007755772,0.0008710785,0.0008252678,0.000269209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008375312,"about_ca_system_score_gemma":0.001211613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247201,"about_ca_topic_score_gemma":0.01026888,"domain_scores_codex":[0.9998839,0.00005063932,0.000005153303,0.00001704369,0.00002862115,0.00001463533],"domain_scores_gemma":[0.9995937,0.0002993876,0.00003008359,0.00001958658,0.00003680772,0.00002054187],"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":[0.000006056905,0.00000735726,0.000193387,0.0000169627,0.000006155686,0.00001096909,0.00002476463,0.9921274,0.0004533141,0.005349013,0.00010407,0.001700465],"study_design_scores_gemma":[0.000004386116,0.00000824208,0.0000742592,0.000004330492,0.000003534225,0.000004750344,0.000012918,0.9959097,0.0002373237,0.002963703,0.000773746,0.000003114531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09304663,0.0002522054,0.8813533,0.0006212562,0.00004312513,0.0001077302,0.0003184702,0.0004802881,0.02377705],"genre_scores_gemma":[0.7817947,0.0005192914,0.2085749,0.0001081866,0.00002773187,0.0005347084,0.0002616673,0.0002238355,0.007954974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01247201,"threshold_uncertainty_score":0.02479881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755981468996574,"score_gpt":0.2332429006712116,"score_spread":0.2056830859812458,"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."}}