{"id":"W4230979457","doi":"10.32920/ryerson.14643846","title":"The propelling monument : latent architecture within the existing urban fabric","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Architectural engineering; Built environment; Key (lock); Computer science; Counterpoint; Civil engineering; Engineering; Computer security; Visual arts; Sociology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449026,0.0003471207,0.0003073692,0.00005220563,0.0003015623,0.0005433687,0.0005851255,0.0001502878,0.0000640262],"category_scores_gemma":[0.00004095541,0.0001678532,0.0002812651,0.0002159923,0.00004847087,0.00001963368,0.0003633758,0.001152097,0.00001950146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021734,"about_ca_system_score_gemma":0.00006054424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000479427,"about_ca_topic_score_gemma":0.0006633133,"domain_scores_codex":[0.9984133,0.0001111317,0.0004517034,0.0003428719,0.0003649804,0.0003160308],"domain_scores_gemma":[0.9988931,0.0001314903,0.00009729882,0.0007387038,0.00006757867,0.00007179005],"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":[0.00000354663,0.00001092365,0.000228071,0.0001088268,0.0005232168,0.0000173901,0.002498552,0.9842806,0.0004064783,0.0003164226,0.001434523,0.01017139],"study_design_scores_gemma":[0.0000748583,0.00001161485,0.0001599708,0.0001808424,0.0002326115,0.00000666531,0.000470854,0.9912978,0.001987557,0.0009444871,0.004176246,0.0004565008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1185249,0.02315185,0.8139724,0.002981207,0.003182852,0.002034688,0.0000135126,0.001577258,0.03456135],"genre_scores_gemma":[0.9884859,0.0002454249,0.002517413,0.00008103087,0.0003903785,0.0001028107,0.00002542226,0.0000652475,0.008086322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8699611,"threshold_uncertainty_score":0.6844854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242883497253376,"score_gpt":0.2030264463898945,"score_spread":0.1805976114173608,"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."}}