{"id":"W2127112528","doi":"10.5539/jms.v4n1p96","title":"Using the Technology-Organization-Environment Framework for Analyzing Nike’s “Considered Index” Green Initiative, a Decision Support System-Driven System","year":2014,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Green IT and Sustainability","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Nike; Sustainability; Context (archaeology); Index (typography); Process management; Balanced scorecard; Business; Decision support system; Knowledge management; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763485,0.0002285995,0.0004450766,0.0003460851,0.0003369316,0.00009128221,0.0003047351,0.0001806581,0.000007117863],"category_scores_gemma":[0.0004353351,0.0001715827,0.0001227974,0.0004591378,0.0001413024,0.0002367552,0.0001722851,0.0003184044,5.614739e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137715,"about_ca_system_score_gemma":0.00006430983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011534,"about_ca_topic_score_gemma":0.000003699115,"domain_scores_codex":[0.9982136,0.0001313547,0.0007671687,0.0002345873,0.0003042808,0.0003490412],"domain_scores_gemma":[0.9982806,0.0003397095,0.0002840504,0.0004416558,0.0005586355,0.00009534114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001562527,0.0001058726,0.8232809,0.007222063,0.0005931002,0.00006827029,0.001345029,0.07791639,0.000005867377,0.06373291,0.0002345348,0.02533884],"study_design_scores_gemma":[0.004350877,0.0006848237,0.2091594,0.000952823,0.001444189,0.0002322831,0.1610124,0.4484749,0.0001166572,0.1658185,0.006542151,0.001210954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3299679,0.0001244377,0.6685981,0.0003280025,0.0001428987,0.0006823571,0.000002216157,0.0000696331,0.00008451314],"genre_scores_gemma":[0.9868169,0.00002111355,0.01298949,0.0000180054,0.00009158441,0.00001773003,0.00000133642,0.00002965107,0.0000141699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.656849,"threshold_uncertainty_score":0.699694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015312173145756,"score_gpt":0.2324766677901496,"score_spread":0.222323546058692,"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."}}