{"id":"W4411068530","doi":"10.1007/978-3-031-93819-1_4","title":"A User Study on Task-Tool Matching for Simplifying Design Space Exploration in Generative Design","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Generative Design; Human–computer interaction; Task (project management); Matching (statistics); Generative grammar; Space (punctuation); Artificial intelligence; Systems engineering; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001390528,0.000378471,0.0003358633,0.0007541758,0.0001533274,0.0003372128,0.0004648006,0.0001725231,0.000009812772],"category_scores_gemma":[0.0002255818,0.0003779162,0.00004467778,0.0003984674,0.00004949651,0.0005391854,0.00006631385,0.0005758231,0.00001483745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143687,"about_ca_system_score_gemma":0.0003270566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007138205,"about_ca_topic_score_gemma":0.00004399407,"domain_scores_codex":[0.9981687,0.0001162788,0.0003697292,0.0006591754,0.0003448802,0.0003412305],"domain_scores_gemma":[0.9969594,0.002361969,0.0001075154,0.0004148866,0.0001052653,0.00005097635],"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":[0.00003225221,0.00004093147,0.00000829706,0.00003394746,0.00001448751,0.000008791528,0.005261139,0.9425485,0.0004791264,0.000833697,0.00016274,0.05057613],"study_design_scores_gemma":[0.000702692,0.0004326475,0.00007081955,0.0005466885,0.00002768295,0.000005407334,0.0000288044,0.9372669,0.004096064,0.05475172,0.001224693,0.0008458671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009831873,0.00009275708,0.9957761,0.0003079456,0.001235276,0.001921267,0.000003229886,0.000113972,0.0004511877],"genre_scores_gemma":[0.2955197,0.00003270467,0.7020416,0.00102847,0.0004196119,0.0002850409,0.000008734341,0.00008066491,0.0005834367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2954214,"threshold_uncertainty_score":0.9998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678905848557448,"score_gpt":0.3091680262495469,"score_spread":0.2412774413938021,"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."}}