{"id":"W2122537391","doi":"10.4000/vertigo.10323","title":"Enjeux sanitaires, socio-économiques et environnementaux liés à la réutilisation des eaux usées dans le maraîchage urbain : cas du bassin versant de l’Abiergué (Yaoundé-Cameroun)","year":2010,"lang":"fr","type":"article","venue":"VertigO","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009016858,0.0005463802,0.0004597542,0.0002119016,0.0009586539,0.0006424282,0.0004891405,0.0005414975,0.001256868],"category_scores_gemma":[0.0002674708,0.0006304888,0.0003088105,0.0001962111,0.001296391,0.001374575,0.0001797913,0.0008639091,0.0002037722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014653,"about_ca_system_score_gemma":0.0003480911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301815,"about_ca_topic_score_gemma":0.0133401,"domain_scores_codex":[0.9965327,0.0009419179,0.0006478144,0.0007033809,0.0002823824,0.0008918525],"domain_scores_gemma":[0.9982695,0.0004757947,0.0002297959,0.0005724931,0.00009248928,0.0003599475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001090146,0.003666525,0.5859985,0.0008869224,0.0004369328,0.0002481527,0.06354975,0.0001184356,0.1167365,0.1388521,0.04641294,0.04200303],"study_design_scores_gemma":[0.005322791,0.0003943489,0.5071814,0.0006296251,0.0003453507,0.0002869546,0.004965975,0.002333839,0.1371933,0.03478427,0.3052183,0.001343837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531264,0.002499588,0.005122007,0.03218905,0.001923157,0.0005295901,0.0001974616,0.0002225951,0.004190182],"genre_scores_gemma":[0.9899635,0.0008825906,0.005033521,0.001888593,0.0009437353,0.00005459638,0.0002069146,0.0001279343,0.0008986029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2588054,"threshold_uncertainty_score":0.9996561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747457852406917,"score_gpt":0.2755245276036126,"score_spread":0.2580499490795434,"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."}}