{"id":"W2062406142","doi":"10.5539/jsd.v6n7p1","title":"Identifying Effective Management Instruments and Human Behavioural Changes to Manage Energy Use and Abate Emissions at Firm Level","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Control (management); Environmental economics; Business; Work (physics); Natural resource economics; Psychological intervention; Efficient energy use; Environmental resource management; Economics; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005912904,0.00060856,0.0003763956,0.001378669,0.0006540078,0.00236033,0.0009025743,0.001036303,0.001992254],"category_scores_gemma":[0.01041613,0.0002437801,0.0003485353,0.0009556809,0.001264839,0.002707664,0.001164066,0.0006862136,0.0003887402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002385597,"about_ca_system_score_gemma":0.006279738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004419505,"about_ca_topic_score_gemma":0.008396653,"domain_scores_codex":[0.9943888,0.00310762,0.000218843,0.0005237311,0.001311725,0.0004493057],"domain_scores_gemma":[0.9923885,0.003105872,0.002480361,0.00056745,0.001154852,0.0003028735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000201776,0.004177416,0.142036,0.002151697,0.0002076275,0.00009047939,0.003363531,0.03596363,0.01024067,0.03970473,0.002116543,0.7597457],"study_design_scores_gemma":[0.0002841341,0.005549544,0.5419025,0.004062643,0.0005378546,0.000256633,0.03537388,0.1516352,0.03759724,0.1464009,0.07600746,0.000391996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403469,0.002456703,0.2860026,0.009285612,0.0001256987,0.002784041,0.0003676166,0.0004095904,0.05822123],"genre_scores_gemma":[0.8739552,0.001062119,0.1216658,0.0004776524,0.00002854181,0.000628616,0.0001197454,0.0000133052,0.002049125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005912904,"threshold_uncertainty_score":0.0312708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597995965659853,"score_gpt":0.2352139165441965,"score_spread":0.209233956887598,"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."}}