{"id":"W3080987219","doi":"10.1016/j.resconrec.2020.105108","title":"How recycling mitigates supply risks of critical raw materials: Extension of the geopolitical supply risk methodology applied to information and communication technologies in the European Union","year":2020,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Université de Bordeaux","keywords":"Geopolitics; European union; Environmental economics; Raw material; Natural resource economics; Extension (predicate logic); Business; Waste management; Environmental science; Environmental resource management; Engineering; Economics; International trade; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00687504,0.0009042697,0.0006978881,0.003451061,0.001207033,0.005688139,0.001464678,0.002690919,0.003777654],"category_scores_gemma":[0.01016701,0.0004998427,0.001705705,0.002316711,0.002689684,0.004542729,0.002702001,0.001148634,0.0002420246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231386,"about_ca_system_score_gemma":0.004900265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031078,"about_ca_topic_score_gemma":0.008594845,"domain_scores_codex":[0.9967411,0.001857473,0.0001497736,0.0002589302,0.0006845958,0.0003081709],"domain_scores_gemma":[0.9950814,0.002918887,0.0007223174,0.0004312673,0.0007618951,0.00008416328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001682742,0.0005226083,0.02177989,0.0003499156,0.0004247378,0.0007494112,0.001302709,0.4012163,0.003825665,0.4272174,0.00155346,0.1408896],"study_design_scores_gemma":[0.00003655097,0.0003865469,0.007267265,0.0002581213,0.000408144,0.0005210935,0.003732664,0.5553156,0.009611531,0.4108478,0.01149819,0.000116514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3962766,0.0008023455,0.5236006,0.004612789,0.0001045667,0.0004043936,0.0001774676,0.000233276,0.07378788],"genre_scores_gemma":[0.9215827,0.0006572916,0.07248383,0.0002015643,0.00002639187,0.00007305427,0.0000489713,0.00005353881,0.004872638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009031078,"threshold_uncertainty_score":0.03635913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723440503634713,"score_gpt":0.2960988539775212,"score_spread":0.228864448941174,"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."}}