{"id":"W2097698296","doi":"10.1504/gber.2010.034892","title":"Dynamic capabilities for strategic green advantage: green electricity purchasing in North American firms, SMEs, NGOs and agencies","year":2010,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"Business; Dynamic capabilities; Purchasing; Industrial organization; Electricity; Marketing; Commerce; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003577575,0.000267689,0.0005298597,0.0001202013,0.0001504796,0.000287139,0.0002199328,0.00004756117,0.00001990855],"category_scores_gemma":[0.00007953082,0.0002482587,0.00005385637,0.0006321672,0.0001565596,0.0009945323,0.0001482884,0.0001246562,0.000007798622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007204111,"about_ca_system_score_gemma":0.00008397918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01048017,"about_ca_topic_score_gemma":0.05427339,"domain_scores_codex":[0.9987081,0.000007484537,0.0004174207,0.0003834667,0.00005795622,0.000425525],"domain_scores_gemma":[0.9993196,0.00002781478,0.0002958754,0.0002026957,0.0001206387,0.00003340526],"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":[0.00009066315,0.0001200439,0.3557268,0.01740865,0.0000907053,0.000007093724,0.00006056058,0.0000181134,0.000039655,0.07443156,0.0004997603,0.5515065],"study_design_scores_gemma":[0.002012831,0.00006314086,0.6362971,0.0006993566,0.0003456271,0.00006897884,0.0003661936,0.01782659,0.000001249603,0.03779029,0.3025941,0.001934561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850223,0.008693681,0.00001849724,0.00354891,0.0001306696,0.0007055253,0.00006800416,0.00004216042,0.00177024],"genre_scores_gemma":[0.970808,0.02542984,0.0002074065,0.002911018,0.0003330293,0.00009023037,0.0001448141,0.00002144915,0.00005415736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5495719,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795756671183859,"score_gpt":0.2514379668789406,"score_spread":0.233480400167102,"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."}}