{"id":"W2049362212","doi":"10.4028/www.scientific.net/amm.278-280.2308","title":"The Potential of Renewable Energy for the Alleviation of Climate Change in China","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kunming University of Science and Technology; University of Northern British Columbia","keywords":"Renewable energy; Hydropower; Clean Development Mechanism; Climate change; Climate change mitigation; China; Environmental science; Electricity generation; Natural resource economics; Photovoltaic system; Wind power; Environmental impact of the energy industry; Biomass (ecology); Environmental economics; Environmental engineering; Engineering; Energy policy; Power (physics); Ecology; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673506,0.00006779419,0.0001587338,0.00002793688,0.00004410076,0.00001855338,0.00008772902,0.00008373007,0.00003299214],"category_scores_gemma":[0.00001578418,0.00004426974,0.0000141455,0.00004767165,0.000008520698,0.00003218764,0.00004443545,0.00001926783,4.312652e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001582199,"about_ca_system_score_gemma":0.000007771451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026497,"about_ca_topic_score_gemma":0.0001269175,"domain_scores_codex":[0.999464,0.00001286442,0.0002385354,0.00006634396,0.00004259749,0.0001756357],"domain_scores_gemma":[0.9996875,0.0000816665,0.00007884872,0.000115414,0.00002427093,0.00001230407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009436072,0.0000156801,6.436949e-7,0.0001697712,0.00004391154,2.347144e-7,0.0001870956,0.004415735,0.317764,0.6547619,0.0002350112,0.02231171],"study_design_scores_gemma":[0.002650708,0.0002177881,0.0006697112,0.00004322196,0.00009586989,0.000003161126,0.001339564,0.07706006,0.5328534,0.3786058,0.006121546,0.0003392248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128541,0.001067875,0.07425493,0.001070221,0.003646297,0.005541475,0.0001386272,0.000115581,0.001310914],"genre_scores_gemma":[0.9975443,0.00154287,0.0001863151,0.00001644564,0.00008640809,0.0005919676,0.000005989062,0.00001445161,0.00001118322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.276156,"threshold_uncertainty_score":0.1805268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007867631212869404,"score_gpt":0.1945025581090384,"score_spread":0.186634926896169,"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."}}