{"id":"W4405109890","doi":"10.46474/jds.1527088","title":"Systems Thinking as a Methodological Approach to Study Infrastructure Space in Architectural Design Education","year":2024,"lang":"en","type":"article","venue":"Journal of Design Studio","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Centre for Applied Research in Cancer Control","keywords":"Design studio; Architecture; Space (punctuation); Conceptual framework; Sociology; Urban design; Acknowledgement; Architectural engineering; Built environment; Management science; Engineering ethics; Urban planning; Computer science; Engineering; Civil engineering; Social science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002171604,0.0002400549,0.0004466424,0.0005847592,0.00006407999,0.0001548662,0.0003120055,0.00007844854,0.000004809373],"category_scores_gemma":[0.0001840581,0.0001735352,0.00009465378,0.0006869925,0.00001488629,0.0001210923,0.00004091774,0.0006571719,0.000009923458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917601,"about_ca_system_score_gemma":0.0002187293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006710949,"about_ca_topic_score_gemma":4.342277e-7,"domain_scores_codex":[0.9975947,0.000900067,0.0005456406,0.0002102795,0.0005091561,0.0002401463],"domain_scores_gemma":[0.9986097,0.0009848655,0.00007358872,0.0001200598,0.00009234603,0.0001194739],"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":[0.0000966355,0.0001089394,0.0001266422,0.00005815006,0.0002310163,0.00009329148,0.01087385,0.9638913,0.0007900943,0.0007072545,0.001489941,0.02153286],"study_design_scores_gemma":[0.003972173,0.01039272,0.1042717,0.002554666,0.001102911,0.01626107,0.02839317,0.6238221,0.002485791,0.2004119,0.003229691,0.00310214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08864751,0.003302295,0.9056955,0.00009797161,0.0008525971,0.0007925851,4.848314e-7,0.00008367707,0.0005274019],"genre_scores_gemma":[0.7628331,0.00001121766,0.2366549,0.000045886,0.0003633453,0.0000397075,3.531123e-7,0.00002733177,0.00002421116],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6741855,"threshold_uncertainty_score":0.7076559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06021676203305353,"score_gpt":0.3151169752691001,"score_spread":0.2549002132360466,"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."}}