{"id":"W2594259635","doi":"10.1002/ad.2148","title":"Decoding Modern Hospitals: An Architectural History","year":2017,"lang":"en","type":"article","venue":"Architectural Design","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Sustainability; Focus (optics); World War II; Health care; Sociology; Architectural engineering; History; Law; Engineering; Political science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003731345,0.0007133642,0.0003045204,0.003625752,0.006100933,0.01046403,0.0010426,0.003449899,0.0116352],"category_scores_gemma":[0.0061853,0.0005163631,0.0002476427,0.004600361,0.03472707,0.008956331,0.005554387,0.00498036,0.001991796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01381676,"about_ca_system_score_gemma":0.005634103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112179,"about_ca_topic_score_gemma":0.01864366,"domain_scores_codex":[0.9964024,0.002102016,0.0001828164,0.0002346713,0.0007064731,0.0003716725],"domain_scores_gemma":[0.9975188,0.001231981,0.0001897118,0.000276255,0.0005098236,0.0002736058],"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":[0.00002213533,0.0000154583,0.0004145744,0.0001297632,0.000005481032,0.0001007816,0.0335683,0.0004154684,0.0001087552,0.8898279,0.03635143,0.03903992],"study_design_scores_gemma":[0.000003377414,0.0000153436,0.0004055667,0.0002781385,0.00000199753,0.0001195058,0.008969919,0.0001239792,0.00009952609,0.05323148,0.9367373,0.00001385688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03248702,0.1328702,0.01455689,0.1674496,0.004744999,0.00006444944,0.0002628345,0.0001631606,0.647401],"genre_scores_gemma":[0.6749969,0.1277465,0.01156289,0.02268865,0.005385486,0.0001703613,0.000339095,0.0006065916,0.1565036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01381676,"threshold_uncertainty_score":0.1002481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204691077032835,"score_gpt":0.4628062259789573,"score_spread":0.2423371182756738,"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."}}