{"id":"W4301176186","doi":"10.52842/conf.ecaade.2010.133","title":"Urban Infrastructure &amp; Architectronics","year":2010,"lang":"en","type":"article","venue":"eCAADe proceedings","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechatronics; Scope (computer science); Realm; Architecture; Control (management); Computer science; Engineering; Systems engineering; Engineering management; Artificial intelligence; Geography","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":[0.0004755868,0.0006092013,0.0001935757,0.001420855,0.002434428,0.005744116,0.0005520249,0.00106154,0.03781792],"category_scores_gemma":[0.0007030134,0.000286821,0.0002174142,0.001760912,0.00504292,0.002712719,0.002551227,0.001073579,0.008425704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247901,"about_ca_system_score_gemma":0.001933814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008416192,"about_ca_topic_score_gemma":0.01329598,"domain_scores_codex":[0.999305,0.0002562418,0.00002456307,0.00008659693,0.0002345937,0.00009304388],"domain_scores_gemma":[0.9997674,0.00004117088,0.0000244438,0.00005321144,0.00006314395,0.00005070305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005241283,0.00000498687,0.0002336684,0.00004337118,0.000001940231,0.00006228076,0.0006028821,0.0009345532,0.0001495312,0.9276888,0.03310034,0.03717238],"study_design_scores_gemma":[0.000001966814,0.000005733177,0.0002569151,0.00003967684,0.000001684906,0.0001063516,0.0007220675,0.0005890472,0.0000998735,0.08828963,0.909881,0.000005986898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003347475,0.00338835,0.01663106,0.006773142,0.0006013974,0.00002663436,0.0001544767,0.0002921026,0.9687855],"genre_scores_gemma":[0.3570071,0.009597166,0.02241383,0.001994799,0.0006684052,0.000142198,0.0003763478,0.000301899,0.6074983],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03781792,"threshold_uncertainty_score":0.1265135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003073572104015785,"score_gpt":0.1809672574138664,"score_spread":0.1778936853098506,"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."}}