{"id":"W2974786587","doi":"10.1002/9781119097921.ch6","title":"Near Future Developments: Advances in Simulation and Real‐Time Feedback","year":2018,"lang":"en","type":"other","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Mainstream; Architecture; Computer science; Context (archaeology); Relevance (law); Flourishing; Process (computing); Test (biology); Human–computer interaction; Relation (database); Inclusion (mineral); Architectural engineering; Engineering; Psychology; Visual arts","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002058213,0.0001218332,0.0001108996,0.00008053488,0.00001315465,0.00001323977,0.00004211099,0.0001087375,0.001161395],"category_scores_gemma":[0.00000158126,0.0001076478,0.000009102811,0.00006583796,0.00001519844,0.00002870564,0.00001079772,0.00004654591,0.0003312837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001593809,"about_ca_system_score_gemma":0.00001055813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008255979,"about_ca_topic_score_gemma":0.00007620821,"domain_scores_codex":[0.999638,0.000007874586,0.00008509464,0.0001123454,0.00007114022,0.00008559614],"domain_scores_gemma":[0.9998811,0.00002301917,0.00001571131,0.00005147383,0.000007056121,0.00002164926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001674681,0.00001299445,0.0003093295,0.0002810973,0.00008132149,0.000007778657,0.0004570182,0.4042714,0.00001866487,0.0003783141,0.3602277,0.2339376],"study_design_scores_gemma":[0.0001138774,0.000008548816,0.0009656044,0.00006558111,0.000002895042,7.673017e-7,0.000005158837,0.05154198,0.000002451385,0.0004353035,0.9466922,0.000165655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001674748,0.001165611,0.01130408,0.000009498126,0.0001442338,0.0001316736,0.000002923527,0.0002843935,0.9867901],"genre_scores_gemma":[0.0059522,0.002137676,0.1184974,0.0001233428,0.001632426,0.00002295016,0.0001510932,0.0006275619,0.8708554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5864645,"threshold_uncertainty_score":0.9997517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003835801191844102,"score_gpt":0.2174718351328967,"score_spread":0.2136360339410526,"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."}}