{"id":"W4385434335","doi":"10.1007/978-1-4842-9579-3","title":"Creative Prototyping with Generative AI","year":2023,"lang":"en","type":"book","venue":"Design Thinking","topic":"Architecture and Computational Design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rapid prototyping; Generative grammar; Computer science; Artificial intelligence; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004953615,0.0005940636,0.0002749405,0.0006038838,0.001111346,0.003709393,0.0007378992,0.0008173263,0.03258767],"category_scores_gemma":[0.001422539,0.0004174441,0.0005569949,0.0005308515,0.002188188,0.003115427,0.001838266,0.00191523,0.009976069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007165215,"about_ca_system_score_gemma":0.0006141397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005769592,"about_ca_topic_score_gemma":0.001163622,"domain_scores_codex":[0.9996283,0.0001016145,0.00001200896,0.00003772199,0.0001926821,0.00002765119],"domain_scores_gemma":[0.9995463,0.0002874511,0.00001231542,0.00007697839,0.00004988776,0.0000269778],"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":[0.00001550397,0.00001723968,0.00005130205,0.000192302,0.000007480491,0.0001278512,0.0008823765,0.001521672,0.001662886,0.8117183,0.062951,0.1208522],"study_design_scores_gemma":[0.000008146684,0.00001308385,0.00004786575,0.0001304063,0.000004560468,0.0003068526,0.0002102551,0.00252186,0.001640245,0.2036912,0.7914137,0.00001177905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001751499,0.006599352,0.1367144,0.001969102,0.001107744,0.00007611474,0.00005854058,0.001214227,0.8505089],"genre_scores_gemma":[0.06996109,0.01074984,0.1496233,0.001378571,0.0003476961,0.0002533227,0.0002362664,0.001095225,0.7663547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03258767,"threshold_uncertainty_score":0.1090167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004774291190052,"score_gpt":0.2212438681746577,"score_spread":0.2011961252627572,"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."}}