{"id":"W4362649845","doi":"10.1007/978-3-031-25906-7_122","title":"Emphatic Designs: Reclaiming Imagination in Architectural ‘Thinking’","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Intuition; Design thinking; Vertical thinking; Critical systems thinking; Parallel thinking; Architecture; Perception; Imagination; Lateral thinking; Epistemology; Thinking processes; Meaning (existential); Creative thinking; Psychology; Critical thinking; Aesthetics; Cognitive science; Convergent thinking; Computer science; Creativity; Social psychology; Visual arts; Mathematics education; Art; Philosophy; Human–computer interaction","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":[0.0003652067,0.0004167692,0.0005265357,0.0004797884,0.0001068369,0.0000911889,0.0001608663,0.0004175471,0.000005578886],"category_scores_gemma":[0.00003332158,0.0003902351,0.00007069194,0.0001492165,0.00004211472,0.00004997558,0.00005552835,0.0008281344,0.000006697097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323032,"about_ca_system_score_gemma":0.00002119921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005985527,"about_ca_topic_score_gemma":0.0003247956,"domain_scores_codex":[0.9984543,0.00006105455,0.0005160393,0.0003623325,0.0002621467,0.0003441315],"domain_scores_gemma":[0.9987968,0.0008544396,0.00008719751,0.0001784296,0.00002854793,0.00005459164],"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":[0.0000090626,0.000001681767,0.00008683456,0.0002244502,0.00003509305,0.00007166307,0.0007298974,0.9461201,0.000006082913,0.002731737,0.00004834523,0.0499351],"study_design_scores_gemma":[0.0002297748,0.00003193758,0.0002096879,0.001646615,0.00002019136,0.00006839177,0.000005118417,0.8799814,0.000002182438,0.1167601,0.0005900524,0.0004545493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008330423,0.0208076,0.9629367,0.0001207238,0.001731494,0.0009583673,0.000009592556,0.0003717472,0.01223076],"genre_scores_gemma":[0.9960302,0.000455792,0.0007118888,0.00008261971,0.0007863273,0.00006002449,0.0001134071,0.0001683032,0.001591451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951971,"threshold_uncertainty_score":0.999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165087285190197,"score_gpt":0.2210915003568186,"score_spread":0.1994406275049166,"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."}}