{"id":"W4410050086","doi":"10.1016/j.buildenv.2025.113117","title":"A framework for evaluating the impact of buildings on inhabitant well-being","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Architectural engineering; Civil engineering; Construction engineering; Engineering; Computer science; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006833165,0.0001463042,0.0001732128,0.00003561656,0.0002914372,0.00002020902,0.0001580347,0.00006866435,0.0002015742],"category_scores_gemma":[0.00006747821,0.00009590718,0.0001017645,0.0001021612,0.0001479664,0.000043377,0.0001546302,0.000150756,0.00001633018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457263,"about_ca_system_score_gemma":0.00001142843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005403219,"about_ca_topic_score_gemma":0.000005938482,"domain_scores_codex":[0.9989454,0.00004092306,0.000214667,0.0003029505,0.0002071891,0.0002888727],"domain_scores_gemma":[0.9992145,0.0003485104,0.0001041897,0.0002700138,0.000001825777,0.00006090584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003300556,0.0002653815,0.7921479,0.00008093772,0.0001226207,0.000001287144,0.00202782,0.03748715,0.03472979,0.02996796,0.00433229,0.09850684],"study_design_scores_gemma":[0.001894882,0.004346325,0.7692245,0.0008325432,0.0002142031,0.000007012468,0.0006735792,0.02792177,0.005816967,0.176112,0.01221538,0.0007408533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727935,0.000151837,0.0241171,0.001221349,0.00004516882,0.0004209795,0.000002970726,0.00001274769,0.001234332],"genre_scores_gemma":[0.9759849,0.0001409775,0.02313145,0.0003246361,0.00002730086,0.00004959198,7.839378e-7,0.00001176622,0.0003285533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146144,"threshold_uncertainty_score":0.3910981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176019584967539,"score_gpt":0.3332078536364893,"score_spread":0.3114476577868139,"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."}}