{"id":"W2141374019","doi":"10.4000/vertigo.14085","title":"Risques potentiels des déchets domestiques sur la santé des populations en milieu rural: cas d’Irhambi Katana (Sud-Kivu, République Démocratique du Congo)","year":2013,"lang":"fr","type":"article","venue":"VertigO","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Forestry; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008845853,0.000369203,0.0002756389,0.0005476077,0.0008795559,0.0009024995,0.0003371807,0.0005762274,0.002536093],"category_scores_gemma":[0.001778006,0.0003381897,0.0002154883,0.0009355298,0.0006556654,0.0004158841,0.0007001134,0.0004047322,0.0002098955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009058059,"about_ca_system_score_gemma":0.0008408157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04312424,"about_ca_topic_score_gemma":0.1015256,"domain_scores_codex":[0.9993179,0.0003496184,0.00002662204,0.00008330698,0.00008421674,0.0001384183],"domain_scores_gemma":[0.9989877,0.0002890162,0.000380613,0.00004708175,0.0001798459,0.000115777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003359841,0.0001123924,0.9821492,0.0002007179,0.00006805957,0.000445851,0.007416592,0.00009501066,0.002555571,0.0001237408,0.0002183559,0.006278561],"study_design_scores_gemma":[0.000007254434,0.0004939733,0.986219,0.0001010487,0.00005248089,0.0002697377,0.01003979,0.0001258657,0.000374297,0.00006557027,0.002239021,0.00001191338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984704,0.0004681983,0.0000536048,0.0001015897,0.000003899822,0.00001620555,0.0001393917,0.000001354563,0.0007453305],"genre_scores_gemma":[0.9980818,0.0006207098,0.0001716777,0.00004430667,0.000005139387,0.00003156373,0.00007713518,0.000001273109,0.0009665233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04312424,"threshold_uncertainty_score":0.08574641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130690269824063,"score_gpt":0.2669338630385547,"score_spread":0.2538648360561483,"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."}}