{"id":"W2342053069","doi":"","title":"Designed Overflow For Flood Recession Agriculture Against Flow Control For Hydroelectric Production In An African Context","year":2014,"lang":"en","type":"article","venue":"CUNY Academic Works (City University of New York)","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Laval","keywords":"Context (archaeology); Hydroelectricity; Flood control; Production (economics); Recession; Agriculture; Flood myth; Environmental science; Agricultural productivity; Hydrology (agriculture); Water resource management; Business; Engineering; Geography; Economics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002884402,0.0001731864,0.0002695733,0.0001986031,0.0001322225,0.0000199134,0.0002921461,0.0002998936,0.000008705511],"category_scores_gemma":[0.00005907597,0.0001850914,0.00008362003,0.000402661,0.00002826223,0.0003976142,0.00002107002,0.0002687149,0.000001330682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230126,"about_ca_system_score_gemma":0.00001149525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002296102,"about_ca_topic_score_gemma":0.0001158626,"domain_scores_codex":[0.9990475,0.00005336811,0.000188702,0.0002835732,0.0001193216,0.0003075695],"domain_scores_gemma":[0.9995247,0.00006597071,0.0001076543,0.0001479191,0.00005507613,0.00009870636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006201022,0.00005991984,0.00113659,0.0001416842,0.00005739267,4.147576e-7,0.002597627,0.8756278,0.005422161,0.00005463716,0.01693659,0.09734511],"study_design_scores_gemma":[0.004752136,0.0002070365,0.001040941,0.0002805959,0.0001253695,4.819878e-7,0.001055218,0.9692612,0.002686255,0.0002583998,0.01992645,0.0004059802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4599562,0.0002617769,0.5370756,0.0004426208,0.0002361887,0.001398852,0.00001050621,0.0002131415,0.0004050983],"genre_scores_gemma":[0.9944525,0.0001047583,0.004205876,0.00004193738,0.000252778,0.000003782422,0.0001079682,0.00002074292,0.0008096174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5344963,"threshold_uncertainty_score":0.7547808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552131002066185,"score_gpt":0.1902673244138275,"score_spread":0.1747460143931656,"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."}}