{"id":"W2612474495","doi":"10.1016/j.jclepro.2017.05.050","title":"Towards integrated sustainability in higher education – Mapping the use of the Accelerator toolset in all dimensions of university practice","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Sustainability in Higher Education","field":"Social Sciences","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sustainability; Terminology; Higher education; Process (computing); Engineering ethics; Process management; Institution; Computer science; Knowledge management; Engineering management; Management science; Political science; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002269419,0.0001825528,0.000228707,0.003302849,0.0007641569,0.004276096,0.0005935096,0.0008301542,0.003018651],"category_scores_gemma":[0.009433161,0.0002368151,0.0003760606,0.005912756,0.001636095,0.004871408,0.004885976,0.0006230236,0.0003778311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582492,"about_ca_system_score_gemma":0.003465159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875522,"about_ca_topic_score_gemma":0.02952977,"domain_scores_codex":[0.9970875,0.001387138,0.0001827461,0.000306271,0.0006297971,0.0004065767],"domain_scores_gemma":[0.9954796,0.001990991,0.001012861,0.0003688098,0.0008635396,0.0002841238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001563382,0.0002200674,0.7118671,0.0003297216,0.000108059,0.0001326264,0.07026923,0.002465509,0.002323618,0.01464371,0.0009017828,0.1965822],"study_design_scores_gemma":[0.000007552558,0.0001890839,0.8427759,0.0003646026,0.00004511837,0.0001391204,0.1266914,0.005272609,0.001177118,0.007093362,0.01620982,0.00003424943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898608,0.0002273964,0.00305291,0.0004580143,0.000004847057,0.00003541149,0.000183436,0.00002138069,0.006155687],"genre_scores_gemma":[0.9953783,0.0001190146,0.003689686,0.00003617342,0.000001912977,0.0000299691,0.000080814,0.000007111038,0.0006571278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875522,"threshold_uncertainty_score":0.03729212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572644606766576,"score_gpt":0.3774026954908401,"score_spread":0.2201382348141825,"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."}}