{"id":"W2364692954","doi":"10.1177/1086026616650437","title":"Big Data, Management, and Sustainability","year":2016,"lang":"en","type":"article","venue":"Organization & Environment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Big data; Sustainability; Affordance; Sustainability organizations; Knowledge management; Business; Process (computing); Field (mathematics); Process management; Computer science; Data science; Ecology","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":[0.0161779,0.0004876737,0.0006367332,0.002868893,0.00554627,0.01888221,0.001316609,0.005733015,0.003390492],"category_scores_gemma":[0.01861389,0.000314286,0.000541797,0.007193257,0.02582203,0.02275961,0.007433135,0.007747233,0.0006095312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004986619,"about_ca_system_score_gemma":0.007904259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003588559,"about_ca_topic_score_gemma":0.005145332,"domain_scores_codex":[0.9844701,0.01061553,0.0005841626,0.0008374213,0.002678105,0.0008145396],"domain_scores_gemma":[0.9727753,0.02098253,0.001890765,0.001578365,0.001445936,0.001327102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000861461,0.0000218809,0.001451448,0.0002874207,0.00002459308,0.0000693817,0.003673682,0.0003790647,0.00008572547,0.9183856,0.04732164,0.02829104],"study_design_scores_gemma":[0.000003816472,0.00001488317,0.0006832252,0.0007608904,0.000006667088,0.0001068128,0.005487883,0.0004137913,0.0001205324,0.6559605,0.3364214,0.00001963807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005556346,0.08487783,0.01125754,0.8291995,0.005291419,0.00006243755,0.0001529063,0.00007058394,0.0635315],"genre_scores_gemma":[0.4651533,0.2253729,0.03120047,0.2249765,0.02433408,0.0004993227,0.0003206141,0.0002113372,0.0279315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01888221,"threshold_uncertainty_score":0.08555788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210345855213866,"score_gpt":0.1898820540160941,"score_spread":0.1777785954639555,"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."}}