{"id":"W4317039212","doi":"10.2139/ssrn.4325941","title":"Generalist CEO and Carbon Emission","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Generalist and specialist species; Carbon fibers; Business; Natural resource economics; Economics; Materials science; Ecology","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":[0.0008696959,0.0001271767,0.0002679175,0.0006660057,0.0005851605,0.001546202,0.000252789,0.001636838,0.02140298],"category_scores_gemma":[0.01185481,0.00009194609,0.0001643274,0.0008052195,0.0004251441,0.0005478815,0.0004610056,0.001564639,0.001161707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352536,"about_ca_system_score_gemma":0.001258875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471151,"about_ca_topic_score_gemma":0.04751698,"domain_scores_codex":[0.9995473,0.0001169185,0.00001574705,0.00004661519,0.0000897175,0.0001836948],"domain_scores_gemma":[0.9840959,0.006254213,0.005255027,0.0002397608,0.0008274001,0.003327661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004146018,0.0005020296,0.9286819,0.00008378386,0.0001024893,0.001017647,0.0004602319,0.001261591,0.0002218461,0.008887831,0.04160568,0.01676037],"study_design_scores_gemma":[0.00008045641,0.0001852472,0.9585852,0.0001260089,0.0001238428,0.0008611541,0.003070498,0.001934959,0.0002177577,0.006473106,0.02830877,0.00003299362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935713,0.006835565,0.0003137237,0.04595732,0.0005253252,0.00001534778,0.001264718,0.00003683711,0.05147982],"genre_scores_gemma":[0.9809424,0.001387097,0.00003185054,0.001211787,0.0004979874,0.000004091724,0.0003480539,0.000008643185,0.01556806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02471151,"threshold_uncertainty_score":0.07160014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05025479836309217,"score_gpt":0.2446338157253501,"score_spread":0.194379017362258,"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."}}