{"id":"W6991405252","doi":"","title":"Gestão de risco climático corporativo : ligação entre emissões de carbono e operações de fusão e aquisição","year":2024,"lang":"en","type":"dissertation","venue":"Repositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa)","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Católica Lisbon School of Business and Economics, Universidade Católica Portuguesa","keywords":"Carbon fibers; Subject (documents); Duration (music); Carbon market; Greenhouse gas; Sustainability; Risk assessment","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":[0.001624585,0.0002167932,0.0003458892,0.001051205,0.000519465,0.002141823,0.00048949,0.0007802396,0.005241722],"category_scores_gemma":[0.01306101,0.0002252419,0.0005558962,0.001528354,0.0007659719,0.00107121,0.001124491,0.0006620901,0.0004857451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009217422,"about_ca_system_score_gemma":0.0008414913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144181,"about_ca_topic_score_gemma":0.01314835,"domain_scores_codex":[0.9987181,0.0003636242,0.00008712211,0.0003485083,0.0003049985,0.0001775753],"domain_scores_gemma":[0.9796637,0.01011574,0.007882162,0.0004310289,0.001035573,0.000871859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001244416,0.00005726435,0.9861405,0.00006776202,0.0001967881,0.0001873287,0.001027739,0.001116182,0.0007315353,0.001354921,0.0003386398,0.008656932],"study_design_scores_gemma":[0.000004697202,0.00008361416,0.9933123,0.00003681703,0.00007800716,0.0001236928,0.001224863,0.001787123,0.0003574654,0.0006826391,0.002292889,0.0000158918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850361,0.0009481317,0.001106411,0.0005419791,0.0000205749,0.00001883538,0.0003786616,0.00002435393,0.01192494],"genre_scores_gemma":[0.9987815,0.0002340211,0.0002116581,0.00002767887,0.00002345019,0.000007201822,0.0001116125,0.00000551566,0.0005974029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144181,"threshold_uncertainty_score":0.02866834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859990758973537,"score_gpt":0.2524677500563168,"score_spread":0.2338678424665815,"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."}}