{"id":"W2266432716","doi":"","title":"Discuter les approches conventionnelles de gestion de l?utilisation des eaux usees en agriculture. In FrenchChallenging conventional approaches to managing wastewater use in agriculture","year":2011,"lang":"fr","type":"other","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Wastewater; Irrigation; Irrigated agriculture; Political science; Water resource management; Geography; Forestry; Environmental protection; Environmental science; Environmental engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004259579,0.0009003612,0.0009379747,0.001135862,0.001163231,0.0007440471,0.001765805,0.001199702,0.000292115],"category_scores_gemma":[0.004417223,0.0005687051,0.0005495709,0.002168974,0.002274861,0.002051317,0.0006797287,0.002461731,0.00006425796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005136678,"about_ca_system_score_gemma":0.0003009004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02691203,"about_ca_topic_score_gemma":0.04523804,"domain_scores_codex":[0.9884454,0.003765882,0.001310354,0.001594791,0.002674871,0.002208683],"domain_scores_gemma":[0.9925882,0.00258537,0.0006457476,0.0002898641,0.003271075,0.0006197208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001557318,0.002837787,0.08016873,0.002419108,0.001724674,0.0001577936,0.2985016,0.004625754,0.275623,0.2550536,0.07190368,0.005426928],"study_design_scores_gemma":[0.00149648,0.0005014006,0.8493811,0.004478275,0.00005916506,0.00005580884,0.1027621,0.00008816983,0.01321925,0.004841332,0.0221968,0.0009200927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688467,0.001646194,0.0003791361,0.008115775,0.0007828915,0.004208814,0.000348985,0.00007879094,0.01559267],"genre_scores_gemma":[0.8193485,0.001020985,0.004853181,0.00001869575,0.001492702,0.00117214,0.0007025427,0.00008397178,0.1713073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7692124,"threshold_uncertainty_score":0.9998396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183740065817569,"score_gpt":0.3169510977650482,"score_spread":0.1985770911832913,"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."}}