{"id":"W4310736965","doi":"10.1109/uemcon54665.2022.9965627","title":"Renewable Energy and Policy in Bangladesh","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Renewable energy; Natural resource economics; Fossil fuel; Business; Context (archaeology); Energy policy; Electricity generation; Coal; Wind power; Economics; Waste management; Engineering; Power (physics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001046063,0.0004148058,0.000427,0.0002346397,0.001064187,0.0001117299,0.001483161,0.0001542325,0.00268138],"category_scores_gemma":[0.00006800491,0.0004927394,0.00008932505,0.0009386102,0.0003717488,0.0003921522,0.001903084,0.0008542561,0.00007097892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202238,"about_ca_system_score_gemma":0.0002361243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01135898,"about_ca_topic_score_gemma":0.0259525,"domain_scores_codex":[0.9961029,0.0008230194,0.0006138991,0.0007521518,0.0006115405,0.001096515],"domain_scores_gemma":[0.9976221,0.0002684456,0.0003850113,0.001421022,0.00002333759,0.0002800265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001802119,0.001111212,0.01218987,0.00002759937,0.0000774048,0.00001183086,0.008620985,0.8716739,0.01044745,0.008224649,0.03152584,0.05590902],"study_design_scores_gemma":[0.001163717,0.0005230553,0.005118248,0.00003013524,0.00002624058,0.0001093312,0.0009585043,0.009235361,0.001001994,0.005646486,0.9752384,0.0009485403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766724,0.002782269,0.002926637,0.000948888,0.0001996653,0.0005021618,0.00006494181,0.000206911,0.01569612],"genre_scores_gemma":[0.9881644,0.002698853,0.0007603259,0.001295754,0.00007003013,0.0002204129,0.0003149129,0.00005581996,0.006419463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437125,"threshold_uncertainty_score":0.9997524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117311395414672,"score_gpt":0.2487697266798169,"score_spread":0.2370385871383497,"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."}}