{"id":"W2180305847","doi":"10.1260/1478-0771.13.2.217","title":"Harnessing Design Space: A Similarity-Based Exploration Method for Generative Design","year":2015,"lang":"en","type":"article","venue":"International Journal of Architectural Computing","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Networks of Centres of Excellence of Canada; Mitacs","keywords":"Cluster analysis; Computer science; Generative Design; Similarity (geometry); Data mining; Visualization; Parametric statistics; Parametric design; Space (punctuation); Machine learning; Artificial intelligence; Engineering; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188531,0.0001455582,0.0002080921,0.0003614331,0.0001155523,0.0005494031,0.0009694424,0.00003804616,0.000001827817],"category_scores_gemma":[0.0008567878,0.0001222408,0.0001194814,0.0002341695,0.00002733397,0.0007216402,0.0001298948,0.0001740746,0.000002028092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286405,"about_ca_system_score_gemma":0.0004202909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003924943,"about_ca_topic_score_gemma":9.318505e-7,"domain_scores_codex":[0.997993,0.0004714615,0.0005174143,0.0001981914,0.0006415716,0.000178377],"domain_scores_gemma":[0.996859,0.0007930619,0.0006140784,0.0001274738,0.001465168,0.0001412154],"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":[0.0001053874,0.00004394662,0.00002438698,0.000004626263,0.00007074951,0.00002412401,0.001730502,0.9271863,0.001341668,0.00547426,0.001109732,0.06288438],"study_design_scores_gemma":[0.001060559,0.0002384297,0.00001610934,0.00007626055,0.00001336412,0.0001188405,0.00007636606,0.9685524,0.01438227,0.01452397,0.0008037715,0.0001377144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004279296,0.00003938888,0.9926249,0.005755774,0.0009396054,0.0001458946,0.000003458953,0.00004167769,0.00002132304],"genre_scores_gemma":[0.1653439,8.625357e-7,0.8332731,0.0009050645,0.000444311,0.000001351061,0.000008402689,0.000009643757,0.0000134113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1649159,"threshold_uncertainty_score":0.5297906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626037918793429,"score_gpt":0.4022945369658353,"score_spread":0.2396907450864924,"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."}}