{"id":"W2509549946","doi":"","title":"Information Access Survey: Vietnam","year":2021,"lang":"en","type":"book","venue":"AquaDocs  (United Nations Educational, Scientific and Cultural Organization)","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan International Research Center for Agricultural Sciences; Medical Research Council; International Development Research Centre; Kementerian Sumber Asli dan Alam Sekitar; Danish International Development Agency; Ministry of Agriculture and Rural Development; Direktoratet for Utviklingssamarbeid; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Business; Government (linguistics); Poverty; Water resources; Water sector; Vietnamese; Environmental resource management; Aquaculture; Economic growth; Environmental planning; Fishery; Geography; Fish <Actinopterygii>; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440232,0.0003037172,0.0002542919,0.002301934,0.000630689,0.001027177,0.0006230851,0.0003293659,0.07272624],"category_scores_gemma":[0.002393306,0.0002311211,0.0001806048,0.006297301,0.0001345698,0.001211215,0.0006059057,0.000536416,0.02485995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162699,"about_ca_system_score_gemma":0.003215066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.173215,"about_ca_topic_score_gemma":0.1641654,"domain_scores_codex":[0.9995497,0.00005925604,0.00005604879,0.00006423011,0.0001796359,0.00009110293],"domain_scores_gemma":[0.9970187,0.0004358107,0.0002618405,0.00007424646,0.001808439,0.0004009598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000030576,0.00004614104,0.02491931,0.0006428133,0.000007090508,0.0001078976,0.0008635113,0.00008101899,0.00009007438,0.001070146,0.9437402,0.02840129],"study_design_scores_gemma":[0.00002377392,0.00004961256,0.2247311,0.0005429839,0.000009625247,0.0002354144,0.002626541,0.0002494171,0.0001593303,0.0002609749,0.7710896,0.0000215875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01950206,0.001097408,0.0002553572,0.002292486,0.0002055254,0.0005914074,0.8289389,0.0002114312,0.1469055],"genre_scores_gemma":[0.08592501,0.003859365,0.0009703875,0.002543208,0.0001819299,0.002106837,0.6044281,0.0002367162,0.2997485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.173215,"threshold_uncertainty_score":0.3444136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812177804812378,"score_gpt":0.2493432890962788,"score_spread":0.2312215110481551,"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."}}