{"id":"W4235416579","doi":"10.32920/ryerson.14644935.v1","title":"The material architect: physically engaging the design process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Architectural engineering; Praxis; Architectural design; Engineering; Design process; Computer science; Work in process; Visual arts; Art; Operations management; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002896567,0.0002565245,0.0001791728,0.000025418,0.0003001912,0.0003976995,0.0006116062,0.00007890137,0.00003579419],"category_scores_gemma":[0.00002970923,0.0001370405,0.0001107621,0.00009147572,0.00008785498,0.00002359589,0.0002383913,0.0007582062,0.00001436858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002998961,"about_ca_system_score_gemma":0.0001160555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001138164,"about_ca_topic_score_gemma":0.000009847176,"domain_scores_codex":[0.9988222,0.0001824995,0.0002152867,0.0002393115,0.0002785952,0.000262133],"domain_scores_gemma":[0.9988848,0.0006038469,0.00003643396,0.0003741494,0.00006241811,0.00003836965],"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":[0.00001148072,0.000006704768,7.483462e-7,0.00007743185,0.0001110031,0.000006163018,0.001491892,0.9623141,0.0006457593,0.0006642299,0.0004392968,0.03423117],"study_design_scores_gemma":[0.0001877889,0.00004448601,0.0003435466,0.000211415,0.00009998685,0.00004241642,0.0008531198,0.8508381,0.03370066,0.1112525,0.001591845,0.0008341197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02832131,0.0002914427,0.9633092,0.0006874663,0.001022773,0.0005166554,0.000006079921,0.0004660049,0.005379123],"genre_scores_gemma":[0.9934439,0.00003093618,0.005306549,0.0001259115,0.0006889882,0.000207852,0.00002345776,0.00005286557,0.0001195335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9651226,"threshold_uncertainty_score":0.5588349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209451122077824,"score_gpt":0.21897978281092,"score_spread":0.2068852715901418,"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."}}