{"id":"W2084450836","doi":"10.4000/vertigo.2319","title":"Gestion integree des ressources en eau et objectifs du millenaire pour le developpement en Afrique : Cas du Cameroun","year":2006,"lang":"fr","type":"article","venue":"VertigO","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007314025,0.0003984938,0.0003244112,0.00004534877,0.0008442301,0.0002176138,0.0004766057,0.0004426493,0.0007551502],"category_scores_gemma":[0.0002394976,0.0001665396,0.0001702509,0.0006002338,0.0002844297,0.0003801595,0.0002453923,0.0004774275,0.0005406123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366345,"about_ca_system_score_gemma":0.0001486197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04468684,"about_ca_topic_score_gemma":0.04108722,"domain_scores_codex":[0.9970304,0.0006726455,0.000448084,0.000561876,0.0005061381,0.0007808806],"domain_scores_gemma":[0.9988673,0.0004427332,0.000118404,0.00008819847,0.0002902535,0.000193086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001879863,0.00112376,0.2694831,0.0001975774,0.0002127992,0.0003367504,0.01290671,0.0003157614,0.0732198,0.02343955,0.4236397,0.1949365],"study_design_scores_gemma":[0.0002417411,0.0002021234,0.7374983,0.0003064049,0.0000201589,0.00009209978,0.002590102,0.00006224784,0.007215591,0.0030562,0.248312,0.0004030002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821018,0.004358687,0.0002084984,0.2049898,0.0003118402,0.0003592554,0.00002460391,0.00009487585,0.007550703],"genre_scores_gemma":[0.9459147,0.005956651,0.001188512,0.0003371347,0.001139354,0.00005299499,0.0001465381,0.000005835898,0.04525831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4680153,"threshold_uncertainty_score":0.9764104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241830492523761,"score_gpt":0.2260594220747647,"score_spread":0.2136411171495271,"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."}}