{"id":"W4392545462","doi":"10.1016/j.heliyon.2024.e27334","title":"Data–driven analysis of Romania's renewable energy landscape and investment uncertainties","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science; Universitatea 'Dunărea de Jos' Galați","keywords":"Renewable energy; Procurement; Energy transition; Wind power; Electricity generation; European union; Investment (military); Energy policy; Environmental economics; Business; Production (economics); Electricity; Feed-in tariff; Natural resource economics; Environmental resource management; Economics; Engineering; Economic policy; Political science; Power (physics); Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002675289,0.0002093718,0.0004091536,0.002881095,0.0003103047,0.002350233,0.0005346221,0.0004761722,0.001519584],"category_scores_gemma":[0.01168488,0.0002494593,0.0004559789,0.005562139,0.0003987706,0.0009664352,0.0008121604,0.0007698404,0.0003017713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608886,"about_ca_system_score_gemma":0.001405461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082284,"about_ca_topic_score_gemma":0.01322583,"domain_scores_codex":[0.9982911,0.0007500732,0.000171643,0.0002051257,0.0004445243,0.0001375802],"domain_scores_gemma":[0.9923511,0.004978791,0.001217925,0.0003307821,0.001052678,0.00006875591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002508425,0.0001978,0.4500224,0.001157108,0.0003706875,0.003331568,0.001944171,0.3325665,0.001197795,0.1015499,0.01698523,0.09042608],"study_design_scores_gemma":[0.00004387203,0.0001273744,0.4559196,0.001014258,0.0001424691,0.000770725,0.008398472,0.3839769,0.003793308,0.02776125,0.1178816,0.000170223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266108,0.002853055,0.01089391,0.003816973,0.00004974455,0.0001646606,0.0241437,0.00008506091,0.03138196],"genre_scores_gemma":[0.9847428,0.001126734,0.003740262,0.0001059251,0.00002485762,0.00009606787,0.008736418,0.00002485509,0.001401948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02082284,"threshold_uncertainty_score":0.04140329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658103185752796,"score_gpt":0.2119920873755342,"score_spread":0.1854110555180062,"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."}}