{"id":"W4386523017","doi":"10.32920/24101496","title":"Convergence of Architectural, Visual and Climate Data","year":2023,"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":"Architectural engineering; Computer science; Architecture; Context (archaeology); Visualization; Renewable energy; Electric light; Technological convergence; Data science; Meteorology; Engineering; Geography; Artificial intelligence; Telecommunications","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":[0.00009926413,0.0001374601,0.0001853761,0.00008081123,0.00001629181,0.00001387266,0.0003057003,0.00006911132,0.00003174345],"category_scores_gemma":[0.00001271321,0.0001232888,0.00002404837,0.00005395535,0.00003759417,0.00002145531,0.001084374,0.0002106016,0.0000240272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004619553,"about_ca_system_score_gemma":0.00001749735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002869069,"about_ca_topic_score_gemma":0.00002403613,"domain_scores_codex":[0.9993013,0.00001472273,0.0001947244,0.0002385436,0.0001220322,0.0001286554],"domain_scores_gemma":[0.9994695,0.0001229133,0.00002779314,0.0003254593,0.00001642868,0.00003785754],"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":[0.00002201151,0.00001501002,0.001257337,0.002491638,0.000306646,0.00001896365,0.0005011619,0.937222,0.001372585,0.001454506,0.00500719,0.05033094],"study_design_scores_gemma":[0.00007254996,0.00001873115,0.01041424,0.0001007782,0.00002751283,0.000008909922,0.00001523126,0.9806666,0.0006270878,0.007588037,0.0002296255,0.0002307423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.468592,0.001256853,0.5232142,0.0002154519,0.001447068,0.0005089051,0.0007072873,0.001316439,0.002741787],"genre_scores_gemma":[0.9915781,0.0003356918,0.007598575,0.00001806446,0.00006993679,0.000006782177,0.0003157447,0.00002972701,0.00004734963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5229861,"threshold_uncertainty_score":0.502757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451634967820325,"score_gpt":0.2924744258290592,"score_spread":0.237958076150856,"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."}}