{"id":"W6938914214","doi":"10.6068/dp14d6f67f7467","title":"TREND: World Bank. Climate Change Data: GHG Emissions and Energy Use | Country: Afghanistan, Australia, Barbados, Brazil, Canada, Central African Republic, Costa Rica, Cuba, Egypt, Iran, Iraq, Israel, Nigeria, Russia, United Kingdom, United States | Socioeconomic Indicator: CO2 emissions per capita, 1998 - 2008. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 051-005-004","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Global warming; Population; Energy intensity; Climate change mitigation; Efficient energy use; Environmental data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361764,0.001795662,0.001380833,0.004507323,0.0008794084,0.00224666,0.002556419,0.001342057,0.0600838],"category_scores_gemma":[0.009647492,0.0009914865,0.001215097,0.01628927,0.0003505467,0.002683843,0.001303946,0.002889086,0.07027129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002357626,"about_ca_system_score_gemma":0.004132712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09352743,"about_ca_topic_score_gemma":0.07214326,"domain_scores_codex":[0.9985433,0.0002136722,0.0002485088,0.0003597187,0.00043694,0.0001978788],"domain_scores_gemma":[0.9934078,0.001068274,0.0009313414,0.0006878661,0.003554047,0.0003505871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001933311,0.000009128005,0.0008518739,0.000210577,0.00001460507,0.000006481367,0.00000998327,0.0001269219,0.00001501547,0.0002099812,0.9974378,0.001088205],"study_design_scores_gemma":[0.0001825307,0.00001278721,0.01246646,0.0003986895,0.00003395211,0.00002560294,0.0001848984,0.0003761004,0.0001508858,0.0007414966,0.9853918,0.00003483066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006396006,0.00002433803,0.00002492172,0.00006694078,0.00002250595,0.000009264388,0.9993716,0.00004951486,0.0003669476],"genre_scores_gemma":[0.0003047411,0.00004731818,0.0001256547,0.00003689085,0.00001024121,0.0000943745,0.9988719,0.0000318344,0.0004771421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9064726,"threshold_uncertainty_score":0.2010003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484658212962492,"score_gpt":0.2894649752725051,"score_spread":0.2409991539762559,"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."}}