{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002086445,0.0004253758,0.0003723231,0.0002372559,0.0001889249,0.00009925669,0.0002462994,0.000220844,0.00004014916],"category_scores_gemma":[0.00001143657,0.0003642834,0.00007727952,0.000158505,0.00004911314,0.00009477227,0.00003635208,0.000696248,0.0002156134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168246,"about_ca_system_score_gemma":0.0002731059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001787631,"about_ca_topic_score_gemma":0.00000381343,"domain_scores_codex":[0.9986592,0.00007139049,0.0002306543,0.0003330881,0.0004095139,0.0002961893],"domain_scores_gemma":[0.999299,0.0002796417,0.00007062448,0.0001942985,0.00009402461,0.00006242034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000063408,0.000006821487,0.000001043448,0.0002535968,0.000769691,0.0002638202,0.005720522,0.904251,0.00008416516,0.01794597,0.05794893,0.01269104],"study_design_scores_gemma":[0.0005783954,0.0004485649,0.00003289522,0.002521601,0.0002424032,0.00007228281,0.00005235572,0.2200089,0.001696559,0.7335908,0.03895431,0.001800965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000001905377,0.000337925,0.8199716,0.00004063618,0.0001455648,0.00107884,0.00001031595,0.001073446,0.1773398],"genre_scores_gemma":[0.000921293,0.0001125957,0.1557933,0.001203852,0.002079649,0.001293306,0.0004556651,0.0009727587,0.8371676],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7156448,"threshold_uncertainty_score":0.9998809,"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."}}