{"id":"W1894446440","doi":"10.24908/pceea.v0i0.3827","title":"PRARMETRIC MODELLING AS A DESIGN REPRESENTATION IN ARCHITECTURE: A PROCESS ACCOUNT","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Representation (politics); Architecture; Parametric statistics; Process (computing); Fist; Computer science; Parametric design; Engineering design process; Software engineering; Design process; Parametric model; Artificial intelligence; Engineering; Work in process; Programming language; Mathematics; Operations management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008946952,0.0007212362,0.0003787031,0.001706405,0.002686526,0.009819131,0.001981333,0.003111543,0.005142416],"category_scores_gemma":[0.01001351,0.00069268,0.0008445853,0.001858938,0.01415165,0.01412879,0.004609762,0.004331761,0.001332966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017457,"about_ca_system_score_gemma":0.003749127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115282,"about_ca_topic_score_gemma":0.003213938,"domain_scores_codex":[0.9925741,0.004678738,0.0002063984,0.0004450521,0.001711464,0.0003842726],"domain_scores_gemma":[0.9928281,0.004025601,0.0004435404,0.001798262,0.000716263,0.0001882377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004663009,0.00002252274,0.000235144,0.00002577051,0.000002325118,0.00005973725,0.004516283,0.001781086,0.000380733,0.9836583,0.000275763,0.009037778],"study_design_scores_gemma":[0.00001640176,0.00009243291,0.00056562,0.0001985398,0.00001759407,0.00054553,0.004806764,0.02249223,0.002630622,0.8504615,0.1181304,0.000042292],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0263437,0.001049867,0.7580105,0.005822725,0.00009585778,0.0001973217,0.00004406256,0.0002376049,0.2081984],"genre_scores_gemma":[0.6880679,0.001594649,0.2640497,0.0005101934,0.0001248855,0.000411454,0.0001116069,0.0003195017,0.04481008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009819131,"threshold_uncertainty_score":0.04731661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274221350716129,"score_gpt":0.2349967026161715,"score_spread":0.2075745675445586,"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."}}