{"id":"W3097662743","doi":"10.5194/egusphere-egu2020-15822","title":"Trade-off, vulnerability and power asymmetry in the Senegal River basin","year":2020,"lang":"en","type":"article","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Hydropower; Upstream (networking); Vulnerability (computing); Downstream (manufacturing); Drainage basin; Natural resource economics; Production (economics); Water resource management; Riparian zone; Agriculture; Environmental science; Water resources; Business; Environmental resource management; Geography; Economics; Ecology; Computer science; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006553577,0.0001718015,0.0002912203,0.001335657,0.0008561902,0.001637646,0.0002777922,0.0003671497,0.00261329],"category_scores_gemma":[0.002124125,0.0001455625,0.0002233618,0.00173321,0.001895183,0.001584013,0.001458095,0.0004193798,0.00007590201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269979,"about_ca_system_score_gemma":0.0005466085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03857034,"about_ca_topic_score_gemma":0.04531152,"domain_scores_codex":[0.9996808,0.0001513333,0.00001412755,0.00003945468,0.00003198787,0.00008232925],"domain_scores_gemma":[0.999301,0.0003103927,0.0002150115,0.00004269864,0.00006174418,0.00006915699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008055204,0.000146824,0.5114471,0.0001167729,0.0006958746,0.004881232,0.005554498,0.197305,0.004360715,0.2263672,0.001904855,0.04641439],"study_design_scores_gemma":[0.00005528077,0.0001038174,0.6330422,0.00009468169,0.0001424373,0.001024556,0.01472953,0.1450533,0.001026676,0.198051,0.006560612,0.0001159571],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947918,0.000124614,0.0005604913,0.0003514641,0.000001412015,0.000004224786,0.00008313253,0.00000470778,0.004078081],"genre_scores_gemma":[0.9997706,0.00004354369,0.00004394908,0.000006913003,6.090975e-7,0.000002659913,0.00001113046,0.000001008292,0.0001196539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03857034,"threshold_uncertainty_score":0.07669169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252569846938682,"score_gpt":0.2709915202125407,"score_spread":0.2484658217431539,"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."}}