{"id":"W7066606283","doi":"","title":"Identifying ESG Correlation with Corporate Financial Performance: Research on Exploration & Production Oil and Gas Companies","year":2015,"lang":"en","type":"dissertation","venue":"UEL Research Repository (University of East London)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Explanatory power; Production (economics); Order (exchange); Empirical research; Econometric model; Panel data; Value (mathematics); Construct (python library); Ordinary least squares; Service (business)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008219561,0.0001712811,0.0002003368,0.0003926681,0.0008700441,0.00006918069,0.0001902424,0.0003409268,0.000006629294],"category_scores_gemma":[0.0001306229,0.0001844304,0.00004411408,0.0004016703,0.0003481362,0.00007386929,0.00008074002,0.0006896365,0.00002039662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103982,"about_ca_system_score_gemma":0.0004737554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943013,"about_ca_topic_score_gemma":0.0009763484,"domain_scores_codex":[0.9977095,0.0003604841,0.0001503876,0.0005681611,0.0009284278,0.0002830363],"domain_scores_gemma":[0.9972454,0.00001569008,0.0002498359,0.0003804263,0.001993015,0.00011559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.051913,0.0006439858,0.0107164,0.004147602,0.000571906,0.0001873658,0.01794148,0.003492299,0.6662936,0.001545613,0.05807708,0.1844697],"study_design_scores_gemma":[0.01531029,0.02980748,0.4831279,0.008823046,0.000865538,0.0009016006,0.1618223,0.004307371,0.1239802,0.006042941,0.1598474,0.005163935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930894,0.0003055267,0.00006472532,0.0000721609,0.0004996679,0.0001977757,0.000005063729,0.00001454661,0.005751083],"genre_scores_gemma":[0.9515504,0.0007969806,0.0002288865,0.000001991895,0.0003814663,0.000003564697,0.001014786,0.0000296334,0.04599227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5423134,"threshold_uncertainty_score":0.7520853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09655754633344402,"score_gpt":0.3067688059194716,"score_spread":0.2102112595860276,"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."}}