{"id":"W4378086025","doi":"10.5539/eer.v13n1p16","title":"A Water Stewardship Evaluation Model for Oil and Gas Operators","year":2023,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Fossil fuel; Computer science; Corporate governance; Environmental economics; Greenhouse gas; Environmental science; Stewardship (theology); Stakeholder; Business; Environmental resource management; Accounting; Geology; Engineering; Economics","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":[0.001586803,0.0001504834,0.0001203975,0.00002320792,0.0004465352,0.00004125418,0.0001284707,0.0001007961,0.0005573096],"category_scores_gemma":[0.00001605721,0.0001152805,0.00003001246,0.00009443528,0.0004789794,0.0001611389,0.0005500924,0.0001082022,0.0001077422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148619,"about_ca_system_score_gemma":0.000005921132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000149786,"about_ca_topic_score_gemma":0.00003198836,"domain_scores_codex":[0.9979835,0.0001169783,0.0001496259,0.0004958654,0.0006911256,0.0005629608],"domain_scores_gemma":[0.9995188,0.00006361993,0.00001481333,0.0002203351,0.000002799555,0.0001796916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006520678,0.00007561204,0.004666885,0.00001756256,0.0000205311,0.000004062125,0.001092724,0.6340346,0.009179841,0.0003800708,0.00115114,0.3493117],"study_design_scores_gemma":[0.0005241091,0.0001088774,0.003009526,0.000005127824,0.00001405798,0.000002892722,0.000288805,0.9700505,0.0007868201,0.006446853,0.01857159,0.0001908149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993192,0.0001040692,0.002762844,0.001213757,0.00002705985,0.0001193843,0.000003702262,0.00002951318,0.002547664],"genre_scores_gemma":[0.9671977,0.004316992,0.002054422,0.0001092302,0.00003556653,0.0003826556,0.00004597128,0.00003395039,0.02582356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3491209,"threshold_uncertainty_score":0.6102149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763308910695768,"score_gpt":0.295849771374545,"score_spread":0.2482166822675874,"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."}}