{"id":"W3159979590","doi":"","title":"De Guangzhou à Naples : exportations françaises de déchets plastiques","year":2021,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Forestry; Political science; Geography; Philosophy","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":[0.0003101533,0.0002611946,0.0001309686,0.0005056192,0.0007733768,0.0007577239,0.0001990952,0.0001548025,0.004129455],"category_scores_gemma":[0.0002906933,0.0001024037,0.0002200803,0.001043932,0.0004806373,0.0003172939,0.0005869734,0.0002083146,0.0002271859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610548,"about_ca_system_score_gemma":0.001003015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.135547,"about_ca_topic_score_gemma":0.300895,"domain_scores_codex":[0.9998661,0.00001605794,0.000005402699,0.00003715603,0.00003361053,0.00004172102],"domain_scores_gemma":[0.999816,0.00003884866,0.00004920841,0.00002025821,0.0000467065,0.00002901937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007265566,0.00007972452,0.790649,0.0003868217,0.0001847354,0.002890365,0.03628713,0.001551949,0.04857284,0.005910168,0.001665952,0.1110948],"study_design_scores_gemma":[0.000006506626,0.00007296765,0.9712619,0.00002430242,0.00002663799,0.0001576558,0.006912644,0.0002544425,0.001301346,0.0001375592,0.01983238,0.0000116126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938471,0.0002166346,0.000191926,0.00008574624,0.000004642006,0.000008297279,0.0002214657,0.0000062871,0.005417998],"genre_scores_gemma":[0.9909642,0.0003239997,0.0003495256,0.00002507983,0.000002647552,0.000008036232,0.0003173214,0.000006090192,0.008003118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.135547,"threshold_uncertainty_score":0.2695161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080442785861485,"score_gpt":0.2642080817567204,"score_spread":0.2534036538981055,"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."}}