{"id":"W4381185133","doi":"10.1017/pds.2023.100","title":"COMPARING ACADEMICS AND PRACTITIONERS Q & A TUTORING IN THE ENGINEERING DESIGN STUDIO","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Design Education and Practice","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Studio; Design studio; Generative grammar; Style (visual arts); Psychology; Mathematics education; Pedagogy; Engineering design process; Computer science; Engineering; Visual arts","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":[0.002373176,0.0001425837,0.0001545203,0.00005312946,0.0001153324,0.00008473474,0.0003159066,0.00009062829,0.000002106423],"category_scores_gemma":[0.0003755304,0.000107316,0.00006382399,0.0008696859,0.0000381377,0.0003915835,0.00005595017,0.0005003752,0.000007193227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007816381,"about_ca_system_score_gemma":0.00002087055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000496636,"about_ca_topic_score_gemma":1.873314e-7,"domain_scores_codex":[0.9991314,0.00002446748,0.0002243799,0.0001435721,0.0002286857,0.0002474622],"domain_scores_gemma":[0.999068,0.0006655967,0.00008374488,0.00008774768,0.00005981198,0.0000350539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005835753,0.0001184583,0.01576842,0.001292193,0.0004586093,0.000001079303,0.1707856,0.2875735,0.3202659,0.006391515,0.1957328,0.001553475],"study_design_scores_gemma":[0.001548054,0.00005594222,0.04334852,0.0006625412,0.0002907787,0.0001027526,0.03019566,0.8348115,0.03042414,0.002313163,0.05505723,0.001189707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969538,0.0008710392,0.09258476,0.003230579,0.0009626003,0.001883076,0.000002510426,0.0009346057,0.002577084],"genre_scores_gemma":[0.9804795,0.000570722,0.01849534,0.0001153316,0.0000937115,0.00009969854,6.775043e-7,0.00003413391,0.0001108254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5472379,"threshold_uncertainty_score":0.437622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032191563458525,"score_gpt":0.2830752763995128,"score_spread":0.1798561200536603,"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."}}