{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005148013,0.00100885,0.0007338068,0.001320324,0.0009109786,0.008224301,0.002248245,0.00265528,0.01556579],"category_scores_gemma":[0.01314361,0.0004825704,0.000834176,0.001366795,0.004355193,0.01085249,0.00347072,0.003979234,0.002664603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609544,"about_ca_system_score_gemma":0.003048863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003975163,"about_ca_topic_score_gemma":0.003036046,"domain_scores_codex":[0.996554,0.001615076,0.0001465743,0.0003262162,0.00120312,0.0001549942],"domain_scores_gemma":[0.9942911,0.003680117,0.0002390734,0.000743843,0.0007033181,0.00034253],"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":[0.00005084896,0.00005981914,0.0007123974,0.0004695789,0.00002514816,0.00007662157,0.001018067,0.03803542,0.0004549363,0.8277724,0.01385872,0.117466],"study_design_scores_gemma":[0.00002767669,0.00007494111,0.0003625445,0.0006877563,0.00002291192,0.0001396357,0.0008765561,0.06286476,0.000847423,0.4597526,0.4742796,0.00006368107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01933951,0.07523867,0.4884457,0.04939988,0.005600308,0.0001138093,0.0004018724,0.001663706,0.3597966],"genre_scores_gemma":[0.5838334,0.1372948,0.2141691,0.003438899,0.003408785,0.0004555763,0.0009031818,0.001119746,0.0553765],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01556579,"threshold_uncertainty_score":0.0520727,"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."}}