{"id":"W7014994393","doi":"","title":"Resposta estratégica às mudanças climáticas globais: o caso de duas multinacionais do setor de alumínio","year":2016,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Climate change; Matching (statistics); Work (physics); Subsidiary; Process (computing); Strategic planning; Global warming","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":[0.001578139,0.0001860406,0.0003102039,0.00129467,0.002309027,0.003644622,0.0005714946,0.0008152241,0.00219553],"category_scores_gemma":[0.004827298,0.000174208,0.0003435054,0.002296405,0.00289738,0.001397781,0.00290516,0.0006300771,0.0001187231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00446891,"about_ca_system_score_gemma":0.002947639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1580258,"about_ca_topic_score_gemma":0.2380394,"domain_scores_codex":[0.9989882,0.0003255959,0.00003581964,0.0001468912,0.0001556446,0.0003477413],"domain_scores_gemma":[0.9978764,0.0007255098,0.0006155742,0.0001716697,0.0002942155,0.0003166345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005074,0.0001097394,0.7709063,0.0002981145,0.0001449632,0.009152189,0.1100426,0.004447391,0.00286926,0.06944117,0.002368314,0.03001942],"study_design_scores_gemma":[0.00003350356,0.000122734,0.5602034,0.0003915842,0.0001605871,0.002619899,0.3376598,0.007283176,0.0007928248,0.01367971,0.07697241,0.0000802984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780133,0.0005356711,0.0002778822,0.0009433645,0.00001091878,0.00002141823,0.00006757967,0.0000133201,0.02011646],"genre_scores_gemma":[0.9989802,0.0002496089,0.0001461051,0.00004714547,0.000004106769,0.000007189192,0.00002395193,0.000004822408,0.000536893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580258,"threshold_uncertainty_score":0.3142119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378925137075351,"score_gpt":0.2388871172780605,"score_spread":0.225097865907307,"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."}}