{"id":"W4212827160","doi":"10.1002/bse.3017","title":"Comparing the uncomparable? An investigation of car manufacturers' climate performance","year":2022,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique; Université Laval","funders":"","keywords":"Comparability; Sustainability; Ranking (information retrieval); Scope (computer science); Reliability (semiconductor); Performance measurement; Set (abstract data type); Contextualization; Business; Computer science; Environmental economics; Management science; Risk analysis (engineering); Marketing; Economics; Mathematics; Artificial intelligence","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":[0.01858423,0.0002381735,0.0002749709,0.004168674,0.001077243,0.003742278,0.0006446581,0.0005855045,0.001467248],"category_scores_gemma":[0.08037194,0.0001608109,0.000316891,0.0051975,0.001817395,0.002899672,0.002927996,0.0007066907,0.0002569229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555271,"about_ca_system_score_gemma":0.001023528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005226726,"about_ca_topic_score_gemma":0.004034167,"domain_scores_codex":[0.9836074,0.00788529,0.001501352,0.0009173588,0.005372357,0.0007162745],"domain_scores_gemma":[0.8675195,0.07136643,0.03432063,0.005931504,0.01932916,0.001532842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002446204,0.0001615574,0.9261725,0.0001504278,0.0001509897,0.0001790658,0.03685223,0.0008718189,0.0009379888,0.002860716,0.0004206878,0.03099746],"study_design_scores_gemma":[0.000004267345,0.0003831237,0.9294108,0.00007961384,0.00004653632,0.0001216817,0.06358444,0.001311779,0.002023494,0.0006556533,0.002332866,0.00004574917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970751,0.0000814107,0.0003031694,0.0001602339,0.000005838601,0.000008836908,0.00007776009,0.000003223613,0.002284513],"genre_scores_gemma":[0.9996277,0.00003753318,0.0001264405,0.00001767135,0.000008163185,0.000006031153,0.00006345923,0.000001585763,0.0001113467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858423,"threshold_uncertainty_score":0.09828401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569777927163322,"score_gpt":0.187782800850682,"score_spread":0.1720850215790488,"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."}}