{"id":"W3217007057","doi":"10.1016/j.resourpol.2021.102465","title":"Supply risk evolution of raw materials for batteries and fossil fuels for selected OECD countries (2000–2018)","year":2021,"lang":"en","type":"article","venue":"Resources Policy","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Bordeaux; Kyoto University; HORIZON EUROPE European Institute of Innovation and Technology; European Institute of Innovation and Technology; European Commission","keywords":"Fossil fuel; Raw material; Natural resource economics; Energy supply; Renewable energy; Production (economics); Supply and demand; Business; Environmental science; Waste management; Economics; Energy (signal processing); 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":[],"consensus_categories":[],"category_scores_codex":[0.0001197095,0.0001147818,0.0002047388,0.0001057654,0.0001216365,0.00008917036,0.00004902513,0.00008547246,0.0001040332],"category_scores_gemma":[0.000271057,0.0001166561,0.00003194648,0.0001324299,0.00005403643,0.0001532066,0.00001038981,0.00003438853,0.000005191058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007647513,"about_ca_system_score_gemma":0.0001323258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009483421,"about_ca_topic_score_gemma":0.0001324627,"domain_scores_codex":[0.9992957,0.00002478093,0.0002599455,0.0001299909,0.00009879042,0.000190758],"domain_scores_gemma":[0.9993476,0.0001711817,0.00008255587,0.0001057116,0.000247203,0.00004578788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004426253,0.00006528287,0.002537175,0.003283556,0.0002454834,0.000001102386,0.006983835,0.002009331,0.9045333,0.007731644,0.06872482,0.003441796],"study_design_scores_gemma":[0.0006899293,0.0000850444,0.005432718,0.00003125491,0.00004360986,0.00001298348,0.00030181,0.0005298237,0.5696134,0.001443238,0.4216388,0.0001773708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838084,0.003047084,0.01052455,0.0004769238,0.000165063,0.0003058284,0.0009259895,0.0001681421,0.000578002],"genre_scores_gemma":[0.9965461,0.0004859468,0.0006788697,0.00004190358,0.0003178784,0.00007887011,0.00005274815,0.00002664289,0.001770966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.352914,"threshold_uncertainty_score":0.4757097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007192013273972405,"score_gpt":0.2444079047472514,"score_spread":0.237215891473279,"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."}}