{"id":"W2776230948","doi":"10.14288/1.0362387","title":"Getting to zero : a field-level perspective on organizational transitions towards carbon neutrality","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Neutrality; Field (mathematics); Zero (linguistics); Political science; Mathematics; Computer science; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01738005,0.0004138105,0.0003993713,0.006491196,0.02040001,0.01992349,0.00241657,0.003189037,0.004329125],"category_scores_gemma":[0.01239549,0.000455396,0.0003896096,0.005087289,0.04455326,0.009658387,0.005867975,0.004992533,0.0003207787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0422115,"about_ca_system_score_gemma":0.03389819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1762024,"about_ca_topic_score_gemma":0.1762362,"domain_scores_codex":[0.9844806,0.009360175,0.0002829495,0.001274673,0.0009904802,0.003611087],"domain_scores_gemma":[0.9828173,0.008774377,0.001416244,0.0009677474,0.002960625,0.003063652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007679337,0.0003133885,0.04328569,0.0002652224,0.00002895625,0.0005588539,0.5118353,0.0009628671,0.001117296,0.4056495,0.00400439,0.03190178],"study_design_scores_gemma":[0.00002000295,0.000128904,0.04061641,0.0003295281,0.00001419402,0.00009486849,0.8278864,0.0005428652,0.0004016082,0.06958883,0.06033149,0.00004487946],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6266181,0.003319907,0.01328873,0.08064661,0.0004029032,0.0003460622,0.000230153,0.0000717561,0.2750758],"genre_scores_gemma":[0.991617,0.0007615708,0.00163261,0.002443738,0.00004055342,0.0000807664,0.00005830688,0.00001260995,0.003352849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1762024,"threshold_uncertainty_score":0.3503535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119507813067481,"score_gpt":0.1965361987343482,"score_spread":0.1845854174276001,"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."}}