{"id":"W4232421561","doi":"10.22215/etd/2015-11190","title":"De-Medicalizing Architecture: Humanizing Design and Intervention for Elderly Care","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Baby boomers; Health care; Psychological intervention; Quality (philosophy); Intervention (counseling); Population; Gerontology; Psychology; Nursing; Medicine; Political science; Environmental health; Geography; Economics","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"],"consensus_categories":[],"category_scores_codex":[0.0003217147,0.0003286618,0.0003156665,0.0002042307,0.0001242757,0.0001073397,0.0001560563,0.0003603126,0.0000272028],"category_scores_gemma":[0.00009407383,0.0003160951,0.0001292456,0.00005476351,0.0000209882,0.00005478042,0.00001352021,0.0003898894,0.000003611815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125447,"about_ca_system_score_gemma":0.00006187835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003643024,"about_ca_topic_score_gemma":0.0002909742,"domain_scores_codex":[0.998818,0.00006348488,0.0002898232,0.000284185,0.0002072774,0.0003372035],"domain_scores_gemma":[0.9993634,0.0001476446,0.00005724857,0.0001651126,0.0001065091,0.0001600894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001970621,0.00002393527,0.00001358633,0.004864593,0.0002269021,0.00001052823,0.03150314,0.02269431,0.002000123,0.0003108268,0.007740629,0.9304144],"study_design_scores_gemma":[0.01346665,0.005165349,0.001025359,0.007997905,0.002773777,0.0002517104,0.05655345,0.3916888,0.05123328,0.3701532,0.09041751,0.009273062],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0148009,0.007442147,0.9708113,0.00000618906,0.0005123194,0.0007461288,0.0000110752,0.0004552804,0.005214667],"genre_scores_gemma":[0.8602458,0.0001519165,0.1343221,0.00007271537,0.0007682176,0.000426465,0.001577284,0.000347757,0.00208775],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9211413,"threshold_uncertainty_score":0.9999291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794340121827982,"score_gpt":0.2805813052211786,"score_spread":0.2526379040028988,"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."}}