{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551323,0.0002889426,0.0001757184,0.001118416,0.0004114912,0.001051205,0.0002113208,0.0003371528,0.00211667],"category_scores_gemma":[0.01501276,0.0001927243,0.000314605,0.0004939935,0.0004425025,0.0003818812,0.0007761572,0.0006369189,0.0002158909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602128,"about_ca_system_score_gemma":0.0002874679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769928,"about_ca_topic_score_gemma":0.003945109,"domain_scores_codex":[0.9989709,0.0004902399,0.000058711,0.000100997,0.0002773101,0.0001017992],"domain_scores_gemma":[0.9860345,0.007736468,0.003706497,0.0005793339,0.001166287,0.0007769915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000160434,0.0005985011,0.9747797,0.00005077841,0.000113533,0.0000695929,0.00223294,0.0007044444,0.00170614,0.000274309,0.0001339199,0.01917572],"study_design_scores_gemma":[0.000003403831,0.0001128179,0.9981065,0.000008425583,0.00001470206,0.00001756791,0.0006343058,0.000383184,0.0002456151,0.0002947597,0.0001713891,0.000007402212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944141,0.00009824518,0.0007032602,0.00007422821,0.000006078484,0.0000247443,0.00005140436,0.00001181474,0.00461621],"genre_scores_gemma":[0.9990923,0.00006955126,0.0004414433,0.00001171872,0.00000472944,0.00001521888,0.00006252332,0.000003328237,0.0002991929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002769928,"threshold_uncertainty_score":0.008204222,"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."}}