{"id":"W4402829266","doi":"10.1016/j.jhydrol.2024.132043","title":"Fishery and agriculture amidst human activities and climate change in the Mekong River: A review of gaps in data and effective approaches towards sustainable development","year":2024,"lang":"en","type":"review","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mekong river; Climate change; Sustainable development; Agriculture; Fishery; Geography; Water resource management; Environmental science; Oceanography; Ecology; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104455,0.0007170079,0.0014487,0.003052494,0.0002531952,0.00132165,0.0007703247,0.0008944695,0.001741058],"category_scores_gemma":[0.00174716,0.0003232327,0.0007660869,0.005555641,0.0005051079,0.001400123,0.0008485743,0.0007194997,0.000171158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340458,"about_ca_system_score_gemma":0.005428681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385679,"about_ca_topic_score_gemma":0.05797601,"domain_scores_codex":[0.9996716,0.00006071165,0.00009666294,0.00005225627,0.00008736285,0.00003142274],"domain_scores_gemma":[0.9991116,0.0004929392,0.0002051221,0.00001204503,0.0001417656,0.00003654115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001122763,0.00005696245,0.001652235,0.1491524,0.0007353097,0.0001823899,0.0002700931,0.0005632161,0.0005886714,0.002690549,0.01333672,0.8306592],"study_design_scores_gemma":[0.0000503215,0.0002727243,0.02725507,0.1388103,0.003677085,0.001266145,0.001075063,0.000313957,0.0004991711,0.002732454,0.8239464,0.00010129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001325574,0.9996101,0.00001038168,0.0001167349,0.00002893603,0.000001203781,0.0000180202,5.956165e-7,0.00008147157],"genre_scores_gemma":[0.0007728068,0.9990622,0.00003413714,0.00005295766,0.00002427086,0.000001384296,0.00001416656,2.186127e-7,0.00003781809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02385679,"threshold_uncertainty_score":0.04743588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010971080211552,"score_gpt":0.3018647116646894,"score_spread":0.2517550008625739,"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."}}