{"id":"W4409184319","doi":"10.1080/13504509.2025.2487793","title":"Policy implications of technological innovations, domestic material consumption and renewable energy consumption for achieving sustainable development goals in G7 economies","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development & World Ecology","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Consumption (sociology); Sustainable development; Natural resource economics; Economics; Energy consumption; Environmental economics; Business; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00129734,0.0002060534,0.0005791079,0.003516856,0.000166345,0.00009386344,0.0004546057,0.0001612384,0.0001824155],"category_scores_gemma":[0.0005251284,0.0002501918,0.00005921322,0.0003766213,0.0002005183,0.0004694078,0.0003214948,0.0001376116,0.000005500476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423307,"about_ca_system_score_gemma":0.0005744677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681915,"about_ca_topic_score_gemma":0.0003540649,"domain_scores_codex":[0.997125,0.00003265381,0.001969664,0.0003556082,0.0000497947,0.0004672815],"domain_scores_gemma":[0.9979383,0.0002752083,0.001300894,0.0001557144,0.0002737289,0.00005618393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001153311,0.0001669524,0.3144982,0.0001190952,0.0002057857,0.00001535896,0.0001212998,0.00153017,0.0001096956,0.6817817,0.0002637292,0.001072609],"study_design_scores_gemma":[0.002136365,0.00005983045,0.7497755,0.00007755533,0.00001292792,0.00003502848,0.0008791056,0.00008138943,0.002537405,0.1463395,0.09775756,0.000307813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811896,0.000510651,0.01133524,0.003789959,0.0003002525,0.0004227842,0.00002264184,0.00001862663,0.002410249],"genre_scores_gemma":[0.9847088,0.000425797,0.008323094,0.0003076481,0.00004557235,0.0002240713,0.00005375937,0.00001735228,0.005893842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5354422,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155239670799526,"score_gpt":0.2559616209517059,"score_spread":0.2404376538717533,"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."}}