{"id":"W4297965189","doi":"10.1007/s11356-022-23179-2","title":"Nexus between environmental vulnerability and agricultural productivity in BRICS: what are the roles of renewable energy, environmental policy stringency, and technology?","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nexus (standard); Productivity; Economics; Agriculture; Agricultural productivity; Vulnerability (computing); Renewable energy; Natural resource economics; Environmental pollution; Technological change; Economic growth; Environmental protection; Macroeconomics; Environmental science; Geography; 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":[],"category_scores_codex":[0.003153018,0.0001990812,0.0003156689,0.0006212504,0.001129433,0.0001117406,0.0004587817,0.00008627377,0.0001237823],"category_scores_gemma":[0.00007240907,0.0001900876,0.00003277083,0.0006221139,0.003836938,0.0008890646,0.001667984,0.0004356491,0.000007472711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241145,"about_ca_system_score_gemma":0.00003061081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009754125,"about_ca_topic_score_gemma":0.000162179,"domain_scores_codex":[0.9974608,0.0001587001,0.0004747937,0.000960251,0.0003377549,0.0006076467],"domain_scores_gemma":[0.9990944,0.00006791304,0.000256351,0.000425307,0.00000186401,0.0001541442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001696279,0.000265917,0.9639461,0.000009119576,0.00001759725,0.000001986414,0.0008962665,0.0005345267,0.02072434,0.002691237,0.00002801355,0.0108679],"study_design_scores_gemma":[0.0004321826,0.0001932914,0.9685437,0.00000681706,0.000003689397,0.00002017995,0.01484184,0.0002924856,0.004742494,0.007809106,0.002880242,0.0002339535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989674,0.006453604,0.000005582497,0.002852135,0.00004723699,0.0003314164,0.0003559044,0.000007955433,0.0002721665],"genre_scores_gemma":[0.9959661,0.003479502,0.00002548792,0.0000497206,0.00005506969,0.00009601418,0.00001759813,0.00001337052,0.000297114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01598185,"threshold_uncertainty_score":0.9988741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692924455058262,"score_gpt":0.2451653086467842,"score_spread":0.2182360640962016,"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."}}