{"id":"W4248597360","doi":"10.32920/ryerson.14648517.v1","title":"Choreographing architecture","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":"Kinesthetic learning; Architecture; Motion (physics); Movement (music); Empathy; Space (punctuation); Cognitive science; Computer science; Human–computer interaction; Psychology; Aesthetics; Artificial intelligence; Visual arts; Social psychology; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761593,0.0006018523,0.0001689844,0.0009601979,0.002353289,0.003741673,0.0004797674,0.0008111596,0.02017844],"category_scores_gemma":[0.002260682,0.0002911629,0.0003605194,0.0006163465,0.008104164,0.004722664,0.0051374,0.0008605571,0.001699427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384814,"about_ca_system_score_gemma":0.001142203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006079706,"about_ca_topic_score_gemma":0.00934868,"domain_scores_codex":[0.9992842,0.0003983254,0.00002241438,0.0001211116,0.00009451237,0.0000795405],"domain_scores_gemma":[0.999465,0.0001654757,0.0000487953,0.0001803193,0.00005614221,0.00008419228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004449304,0.00001208606,0.001721858,0.0001421951,0.00001992639,0.0004458561,0.04486001,0.003875404,0.00400776,0.914941,0.005467393,0.02446198],"study_design_scores_gemma":[0.00001969846,0.00004591265,0.004473811,0.0002663719,0.00002447017,0.000865222,0.04065384,0.008891369,0.003006927,0.34151,0.6001832,0.00005921254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1421596,0.001544623,0.2133471,0.003438619,0.0002982826,0.0001979039,0.0003086369,0.0008318266,0.6378734],"genre_scores_gemma":[0.8640277,0.001102093,0.06459659,0.0001728033,0.00004896541,0.0001176906,0.0003211215,0.0004557323,0.06915738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02017844,"threshold_uncertainty_score":0.06750357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00658548412635637,"score_gpt":0.1910760070501887,"score_spread":0.1844905229238324,"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."}}