{"id":"W2590827351","doi":"10.24251/hicss.2017.112","title":"Building an Environmental Sustainability Dictionary for the IT Industry","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sustainability; Scope (computer science); Corporate sustainability; Computer science; Context (archaeology); Content analysis; Process (computing); Coding (social sciences); Domain (mathematical analysis); Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.008863404,0.0005826582,0.0006667659,0.0003806028,0.006592347,0.002540809,0.01357767,0.0004403878,0.00006793789],"category_scores_gemma":[0.001145164,0.0003645181,0.0005352705,0.0006191466,0.00761276,0.004040909,0.00137254,0.0007960021,0.00001028686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049486,"about_ca_system_score_gemma":0.001114569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265336,"about_ca_topic_score_gemma":0.00008108571,"domain_scores_codex":[0.9914078,0.0001079313,0.001311779,0.00133479,0.00493021,0.000907472],"domain_scores_gemma":[0.9908232,0.0006056123,0.003067604,0.0004197251,0.004780186,0.0003036493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001953625,0.0001852631,0.01822383,0.0001107839,0.00008830772,4.337005e-7,0.005097953,0.00003563472,0.0001959888,0.9731053,0.001149887,0.001611331],"study_design_scores_gemma":[0.0005225049,0.0005021481,0.01368215,0.00178329,0.00005784669,0.00001858681,0.9693449,0.0004332501,0.0002449899,0.0101722,0.002757804,0.0004802926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1671593,0.00001646906,0.00001741035,0.02304179,0.004700352,0.001392484,0.0006802943,0.0001012432,0.8028907],"genre_scores_gemma":[0.9951215,0.0000271886,0.0001932617,0.000155106,0.001053719,0.0002224175,0.000002627303,0.0000283226,0.003195866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964247,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05669133614472676,"score_gpt":0.3533975013876168,"score_spread":0.29670616524289,"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."}}