{"id":"W2753282736","doi":"10.1080/09613218.2017.1358032","title":"Effect of green building certification on organizational productivity metrics","year":2017,"lang":"en","type":"article","venue":"Building Research & Information","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Certification; Productivity; Business; Accommodation; Job satisfaction; Facility management; Green building; Marketing; Environmental economics; Operations management; Environmental resource management; Architectural engineering; Management; Engineering; Psychology; Environmental science; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00721811,0.0003395812,0.0003087034,0.0007362296,0.0006210273,0.00134855,0.0006269881,0.0004432411,0.002824791],"category_scores_gemma":[0.05254463,0.0001242615,0.0006201427,0.0008903375,0.001075426,0.0008588458,0.001276608,0.0007558111,0.0002662688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556466,"about_ca_system_score_gemma":0.003764302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05078196,"about_ca_topic_score_gemma":0.08772061,"domain_scores_codex":[0.9941671,0.002834653,0.00019501,0.0004556642,0.001555198,0.0007925339],"domain_scores_gemma":[0.9228662,0.04401553,0.01387658,0.004030926,0.008695785,0.00651506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001428468,0.0005183577,0.9372643,0.00009330777,0.0001997779,0.0001207336,0.0004983631,0.003905921,0.0009042388,0.0003881365,0.0008154383,0.05386307],"study_design_scores_gemma":[0.00001085826,0.0005606053,0.9968177,0.00002478829,0.00004360949,0.00002060428,0.0005433895,0.0007190126,0.0003566887,0.0001344487,0.0007585767,0.000009640607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995805,0.0003272925,0.0004531357,0.0002719272,0.00002493421,0.00002143946,0.0002225522,0.00003228699,0.0028414],"genre_scores_gemma":[0.999326,0.0000418737,0.0001968314,0.00002617737,0.000005362037,0.000006406926,0.0001044346,0.000005536606,0.000287494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05078196,"threshold_uncertainty_score":0.1009728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436393138926913,"score_gpt":0.348421925684108,"score_spread":0.3140579942948389,"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."}}