{"id":"W2105905480","doi":"10.5539/ass.v11n2p111","title":"Identification and Prioritization of the Factors Impacting the Social Responsibility of the Extractive Oil and Gas Industries","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prioritization; Greenhouse gas; Identification (biology); Fossil fuel; Social responsibility; Test (biology); Business; Environmental economics; Economics; Political science; Engineering; Public relations; Waste management; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003730088,0.00004400563,0.00005433597,0.000009119367,0.0005267791,0.00001901438,0.0001019171,0.00002754905,5.057051e-7],"category_scores_gemma":[0.0002442223,0.00002480976,0.00001485463,0.0002306159,0.0007508059,0.00009778034,0.00005644756,0.00008202338,5.135785e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004251575,"about_ca_system_score_gemma":0.000009393913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002662667,"about_ca_topic_score_gemma":0.00001229671,"domain_scores_codex":[0.9995841,0.00003253365,0.00008645534,0.00006751508,0.0001511017,0.00007833752],"domain_scores_gemma":[0.9998065,0.0000577185,0.00004997442,0.00006293086,0.00001323796,0.000009649488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006572489,0.00001735802,0.09151342,0.00006330409,0.00002303116,1.998296e-8,0.06725938,0.00008219916,0.2605656,0.002519333,0.00004300568,0.5779068],"study_design_scores_gemma":[0.00002620752,0.000002696681,0.9775417,0.000006428311,0.00000595477,1.646858e-7,0.004297929,0.00007325666,0.017769,0.0002142458,0.00003530086,0.00002711226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955403,0.00002470409,0.00008123145,0.0003735119,0.00008578336,0.00003079648,0.000003616462,0.000009195422,0.003850874],"genre_scores_gemma":[0.9999359,0.00001105512,0.000004553678,0.000002171707,0.00002306119,0.000001356797,8.091182e-8,0.000002725951,0.00001905699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8860283,"threshold_uncertainty_score":0.4051612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957787543922527,"score_gpt":0.233487610315488,"score_spread":0.2239097348762627,"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."}}