{"id":"W4402647888","doi":"10.55214/25768484.v8i4.1589","title":"Empirical analysis of electricity demand in Albania. the impact in ecosystem","year":2024,"lang":"en","type":"article","venue":"Edelweiss Applied Science and Technology","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Electricity demand; Electricity; Ecosystem; Natural resource economics; Environmental science; Economics; Business; Environmental economics; Agricultural economics; Electricity generation; Ecology; Engineering; Power (physics); Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001243653,0.000110549,0.0002212106,0.0008071602,0.00009277671,0.00003104546,0.0003863493,0.0001112738,0.0001410737],"category_scores_gemma":[0.00005820877,0.00006895317,0.00002944111,0.009193053,0.0007861099,0.0001274516,0.0002146372,0.0002160783,0.00001842685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756317,"about_ca_system_score_gemma":0.00004417107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003176289,"about_ca_topic_score_gemma":0.001259943,"domain_scores_codex":[0.9987116,0.00001984522,0.0002211994,0.0003992695,0.0002752756,0.0003727439],"domain_scores_gemma":[0.9995586,0.00008339537,0.0000373954,0.0002560505,0.000002805635,0.00006171753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000300688,0.0002089955,0.7588975,0.00001527167,0.00008938361,0.00004257826,0.001299,0.08182409,0.1209744,0.008999178,0.0004340727,0.0271855],"study_design_scores_gemma":[0.0002627989,0.0001340387,0.8718537,0.00001683789,0.00007935013,0.00002136141,0.0004616611,0.1019889,0.01459218,0.008905859,0.001403436,0.0002798914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952281,0.0001689183,0.000181117,0.0009908592,0.00001719959,0.0001171126,0.000002142877,0.00002964378,0.003264878],"genre_scores_gemma":[0.9997854,0.00006894187,0.00004612785,0.00005382492,0.000003808186,0.00001951439,7.33635e-7,0.000003940521,0.000017724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129562,"threshold_uncertainty_score":0.4416957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853339831873044,"score_gpt":0.2639020716312206,"score_spread":0.2560487317993476,"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."}}