{"id":"W4367625200","doi":"10.1016/j.exis.2023.101261","title":"(In)visible fluidities across sandscapes: Sand dredging and local socio-environmental impacts along the Red and Mekong Rivers","year":2023,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; University of Ottawa","keywords":"Dredging; Riparian zone; Sand mining; Geography; Climate change; Ecology; Environmental resource management; Environmental science; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007923986,0.0001474721,0.0001621278,0.00001074372,0.002086487,0.0002491905,0.0001330209,0.0001988374,0.00004071306],"category_scores_gemma":[0.00004729464,0.00009305206,0.00004787149,0.0001911136,0.002311993,0.0007153263,0.0001516844,0.0004490518,0.000001651504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008452,"about_ca_system_score_gemma":0.0000690232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320173,"about_ca_topic_score_gemma":0.0002229732,"domain_scores_codex":[0.9988225,0.0001137886,0.000139363,0.0002234359,0.0002625673,0.0004383235],"domain_scores_gemma":[0.9993651,0.0003541135,0.00008898092,0.0001002326,0.00001220365,0.0000793938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005375185,0.00001708265,0.1668499,0.00002017169,0.0001394167,0.0000157676,0.7599466,0.00003830605,0.001436597,0.0008933483,0.05511553,0.01547356],"study_design_scores_gemma":[0.0004091178,0.0000255156,0.3367593,0.00002879142,0.00001842943,0.00000607578,0.6463115,0.00008408905,0.0004973995,0.00173113,0.01398733,0.0001414002],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917209,0.0007916165,0.00001104255,0.006568328,0.0001116034,0.0002013191,0.00006054508,0.00002487304,0.0005098137],"genre_scores_gemma":[0.9908944,0.00789139,0.000007168919,0.0003076832,0.000238055,0.000008477322,0.00000450419,0.00001003007,0.0006383324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1699094,"threshold_uncertainty_score":0.9992127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582077727703582,"score_gpt":0.270169141660377,"score_spread":0.2543483643833412,"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."}}