{"id":"W4391574501","doi":"10.1177/09730052231221332","title":"Between ‘the Technical’ and ‘the Social’? The Case of Farm Ponds for Supplemental Irrigation in Burkina Faso and Mali","year":2024,"lang":"en","type":"article","venue":"International Journal of Rural Management","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Irrigation; Geography; Water resource management; Economic growth; Socioeconomics; Agricultural economics; Business; Political science; Agroforestry; Environmental protection; Environmental science; Economics; Agronomy; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011084,0.0000541046,0.00008884084,0.00006103583,0.000157626,0.0001494299,0.0002696691,0.00002435771,0.00002525307],"category_scores_gemma":[0.00002513081,0.00002688214,0.00006319714,0.000086652,0.0002998427,0.0001548338,0.00009012281,0.0001111832,2.554391e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008464394,"about_ca_system_score_gemma":0.00001689463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005911416,"about_ca_topic_score_gemma":0.0005671341,"domain_scores_codex":[0.9992442,0.00006397547,0.0002675269,0.00005141795,0.0002848308,0.0000880935],"domain_scores_gemma":[0.9995631,0.0001665153,0.0001526423,0.00003529259,0.00006782556,0.00001461817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001679955,0.00001823058,0.004383549,0.00004417981,0.0003907437,0.0001352242,0.01639943,0.00001301926,0.0001057792,0.8190234,0.009101207,0.1502172],"study_design_scores_gemma":[0.005363424,0.0002340585,0.1408744,0.0005073036,0.0004659703,0.0005335049,0.1161489,0.0004340401,0.0003116101,0.4043588,0.3304693,0.0002986148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767816,0.0005216289,0.0007228987,0.1189294,0.0007458468,0.0005021138,0.00006982021,0.000006130142,0.001720462],"genre_scores_gemma":[0.9987862,0.0002238383,0.0001399911,0.0001803764,0.0004012863,0.000009258125,0.00000297257,0.000003570083,0.0002524785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4146646,"threshold_uncertainty_score":0.1440956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053765030957637,"score_gpt":0.3250725264706461,"score_spread":0.3145348761610697,"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."}}