{"id":"W2945859470","doi":"10.1007/s11356-019-05337-1","title":"Renewable energy utilization to promote sustainability in GCC countries: policies, drivers, and barriers","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":141,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sustainability; Renewable energy; Business; Incentive; Greenhouse gas; Natural resource economics; Software deployment; Feed-in tariff; Climate change mitigation; Subsidy; Energy policy; Environmental economics; Economics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003636673,0.00009218426,0.0001187763,0.0003470079,0.001367281,0.0002011909,0.0003017427,0.00009312495,0.0004058774],"category_scores_gemma":[0.000595728,0.00009598098,0.00001324509,0.001506948,0.002744749,0.0007294505,0.0002724204,0.0001044651,0.00001306521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210428,"about_ca_system_score_gemma":0.0008711228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08478013,"about_ca_topic_score_gemma":0.02511571,"domain_scores_codex":[0.996949,0.0002493075,0.0001418553,0.0004823911,0.001409049,0.0007684231],"domain_scores_gemma":[0.9992297,0.00005368481,0.00003131965,0.0001724843,0.00007082056,0.0004420476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002103467,0.0002008372,0.635747,0.00005584633,0.0000132637,0.00001293099,0.09006658,0.003651289,0.03505602,0.1045514,0.005636254,0.1247982],"study_design_scores_gemma":[0.0005554904,0.0002575917,0.1444897,0.00003212474,0.000002617641,0.00000111618,0.1815404,0.000497861,0.003957674,0.007213259,0.6611068,0.0003453491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873848,0.0002007141,0.0000275471,0.004291348,0.00009169442,0.0004398205,0.000008011204,0.00001804188,0.007538022],"genre_scores_gemma":[0.9937633,0.0009087734,0.00005225021,0.0002893514,0.00005141466,0.00002576357,0.000001744368,0.000005992327,0.004901452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554706,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024703608466062,"score_gpt":0.3355843300343872,"score_spread":0.3153372939497266,"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."}}