{"id":"W2098460332","doi":"10.1177/0013916511420560","title":"Linking Lighting Appraisals to Work Behaviors","year":2011,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Public Works and Government Services Canada; Technische Universiteit Eindhoven","keywords":"Structural equation modeling; Mood; Psychology; Work (physics); Work engagement; Applied psychology; Conceptual model; Social psychology; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001989397,0.0001783516,0.000151679,0.00003754928,0.0002006498,0.00002109384,0.0001601031,0.00008520792,0.005090799],"category_scores_gemma":[0.000002532817,0.0001640318,0.00004289984,0.0001049084,0.0001059907,0.0001385892,0.0002833399,0.000144868,0.001820469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007487508,"about_ca_system_score_gemma":0.000002494846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002970542,"about_ca_topic_score_gemma":0.00008110426,"domain_scores_codex":[0.9987059,0.00002572287,0.0002076206,0.0004083629,0.0002578022,0.0003946116],"domain_scores_gemma":[0.9993753,0.00001302945,0.00006199916,0.0002593434,8.424555e-7,0.0002895027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008699575,0.0001703478,0.9731134,0.000001948486,0.000001454007,0.00001693726,0.001866111,0.000001877099,0.003127622,0.00001063244,0.0005154075,0.02116557],"study_design_scores_gemma":[0.0001430972,0.0001365094,0.9865196,0.00001401393,0.0000624669,0.000004197432,0.0001318101,0.000001311279,0.0009662094,0.00000778605,0.01177282,0.0002401178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970609,0.00005798406,0.0001983617,0.0001039447,0.0000914667,0.0003569226,0.000002348669,0.00004519918,0.00208286],"genre_scores_gemma":[0.9896988,0.00004271597,0.007698858,0.0002691706,0.0000556327,0.0001063503,0.000004199203,0.00002642627,0.002097898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02092545,"threshold_uncertainty_score":0.9989567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329233758160883,"score_gpt":0.2505914321639917,"score_spread":0.2176680563479034,"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."}}