{"id":"W4301460708","doi":"10.52842/conf.ecaade.2012.1.709","title":"Application of Fuzzy Logic for Optimizing Foldable Freeform Geometries: An example of a practical application – a foldable window shade","year":2012,"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":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Kinematics; Computer science; Focus (optics); Quadrilateral; Folding (DSP implementation); Fuzzy logic; Parametric statistics; Window (computing); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Engineering; Finite element method","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004902056,0.0003733462,0.0003056221,0.0002713964,0.0004005397,0.0006847761,0.0004707991,0.0006608189,0.003346121],"category_scores_gemma":[0.0007847075,0.0001527178,0.0004483417,0.000173271,0.0005185728,0.000477742,0.0005098819,0.000468064,0.0002351753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616734,"about_ca_system_score_gemma":0.0003907391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690161,"about_ca_topic_score_gemma":0.001960088,"domain_scores_codex":[0.9998677,0.00002926947,0.000007427872,0.0000268788,0.00005145831,0.0000172609],"domain_scores_gemma":[0.9997562,0.0001225188,0.00002034803,0.00003907834,0.00004348227,0.00001838078],"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":[0.0001923548,0.0001627572,0.001250008,0.000200547,0.00003589652,0.0006065743,0.0004341934,0.6233376,0.09417658,0.05507438,0.00149863,0.2230305],"study_design_scores_gemma":[0.00002103453,0.0001797064,0.0002648497,0.00001913629,0.00001884691,0.0001348996,0.00006938632,0.9637162,0.02045782,0.01068555,0.004416381,0.00001623097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05214981,0.0001232008,0.9383801,0.0001747704,0.00002797836,0.00005857588,0.00002075603,0.0004252151,0.008639408],"genre_scores_gemma":[0.6715499,0.00016497,0.3244959,0.00005783884,0.000009068119,0.00004249495,0.00002459703,0.0000654468,0.003589866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003346121,"threshold_uncertainty_score":0.01119387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381466701763122,"score_gpt":0.265836337632435,"score_spread":0.2320216706148037,"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."}}