{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003330898,0.0004217704,0.0004795156,0.004724825,0.0006040843,0.008204862,0.0006980661,0.0007811576,0.006522335],"category_scores_gemma":[0.01912594,0.0005059473,0.0005186764,0.005255188,0.001312511,0.005485634,0.004523662,0.001481792,0.002392984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096779,"about_ca_system_score_gemma":0.001003745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352834,"about_ca_topic_score_gemma":0.008036912,"domain_scores_codex":[0.9962203,0.000891672,0.0002080114,0.0006549794,0.001803212,0.0002217755],"domain_scores_gemma":[0.991888,0.002369553,0.0003868166,0.002137654,0.002833911,0.0003841399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005420576,0.0003422497,0.05652894,0.001241258,0.000340846,0.0008336945,0.01006367,0.01553814,0.0319541,0.1325753,0.03672193,0.7133179],"study_design_scores_gemma":[0.00005457293,0.0002256095,0.1944585,0.001006865,0.0002740019,0.001405746,0.01572089,0.10986,0.03531969,0.1218817,0.5194159,0.0003764226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2369412,0.004770989,0.4671064,0.008804841,0.001124411,0.0004706965,0.01449157,0.009849642,0.2564403],"genre_scores_gemma":[0.8021878,0.002161306,0.1696907,0.0008442724,0.0003017071,0.0001802679,0.009668007,0.001739503,0.01322647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008204862,"threshold_uncertainty_score":0.02181935,"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."}}