{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001161483,0.0003383007,0.0004627565,0.0001235176,0.002387648,0.00003121347,0.001040877,0.0002898534,0.0004572216],"category_scores_gemma":[0.001025606,0.0002651614,0.0001484505,0.00004016987,0.0003358837,0.0002930006,0.0002773683,0.001392679,0.0003933147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259298,"about_ca_system_score_gemma":0.0005723273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002816532,"about_ca_topic_score_gemma":0.0005520934,"domain_scores_codex":[0.9959612,0.001067432,0.000585272,0.0006035445,0.000479402,0.001303102],"domain_scores_gemma":[0.9968346,0.00048668,0.0004048226,0.001283252,0.0001214111,0.0008691974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002629509,0.00005089561,0.004290852,0.0001915119,0.00004631741,0.0001514838,0.0118236,0.00008943325,0.001318908,0.001441014,0.0218874,0.9584456],"study_design_scores_gemma":[0.006615778,0.002750238,0.641671,0.001759651,0.0001843067,0.0003964626,0.001301437,0.03178244,0.0004666051,0.1730542,0.1371537,0.002864146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923858,0.001341444,0.03150538,0.006349185,0.004603447,0.001758595,0.00001692416,0.0005334284,0.03003355],"genre_scores_gemma":[0.97712,0.00003003458,0.01215373,0.003283656,0.001439593,0.0001438223,0.00001558196,0.00005664935,0.00575687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9555815,"threshold_uncertainty_score":0.99998,"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."}}