{"id":"W6999998066","doi":"","title":"Environmental analysis and design anticipation for urban resilience and human health","year":2023,"lang":"en","type":"book-chapter","venue":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","topic":"Healthcare Facilities Design and Sustainability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat Politècnica de Catalunya; Università di Catania; Consiglio Nazionale delle Ricerche; Università degli Studi di Firenze; Université Moulay Ismaïl; Sapienza Università di Roma; Horizon 2020 Framework Programme; Università degli Studi di Trento; Università di Bologna; Innovation, Science and Economic Development Canada; World Health Organization; U.S. Department of Energy; Syddansk Universitet; Al Akhawayn University in Ifrane; Karlsruhe Institute of Technology; Università degli Studi di Milano; Macquarie University","keywords":"Anticipation (artificial intelligence); Human health; Relation (database); Resilience (materials science); Psychological resilience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006424987,0.0007044855,0.0001854162,0.0006909272,0.0009069722,0.003182893,0.0005607989,0.0007453546,0.01309804],"category_scores_gemma":[0.001212623,0.0002302686,0.0004113682,0.0005887244,0.003096916,0.001811801,0.001362975,0.001215313,0.001304595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002253508,"about_ca_system_score_gemma":0.001846134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002382918,"about_ca_topic_score_gemma":0.005974457,"domain_scores_codex":[0.9995015,0.00026585,0.00001379349,0.00005509305,0.0001286359,0.00003506405],"domain_scores_gemma":[0.9995833,0.0002717685,0.00002347936,0.000037638,0.00005881185,0.00002498426],"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":[0.00002310619,0.00002628105,0.0003506464,0.0002332249,0.00001032389,0.0000977712,0.002302897,0.009202952,0.001134845,0.8705262,0.02380532,0.09228645],"study_design_scores_gemma":[0.000006481825,0.0000461672,0.0006014227,0.0003776288,0.00001629378,0.0001644847,0.002374901,0.009155165,0.001163609,0.4821384,0.503931,0.00002446402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01079987,0.008666642,0.2678393,0.007658642,0.000894628,0.0001172608,0.0001833356,0.0006439009,0.7031965],"genre_scores_gemma":[0.3840432,0.009465738,0.1968789,0.001599796,0.0003467003,0.000345141,0.0003265692,0.0005506448,0.4064433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01309804,"threshold_uncertainty_score":0.04381728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07190157420233947,"score_gpt":0.3169075958865446,"score_spread":0.2450060216842051,"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."}}