{"id":"W2095491927","doi":"10.1111/j.1440-1770.2009.00387.x","title":"The Chalan <i>beel</i> in Bangladesh: Habitat and biodiversity degradation, and implications for future management","year":2009,"lang":"en","type":"article","venue":"Lakes & Reservoirs Science Policy and Management for Sustainable Use","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Siltation; Fishery; Geography; Habitat; Livelihood; Fishing; Biodiversity; Watershed; Fisheries management; Agriculture; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006299266,0.0001149988,0.0001110102,0.00006973393,0.002450945,0.0002255214,0.0002566841,0.00004998138,5.258501e-7],"category_scores_gemma":[0.00009397984,0.00005055456,0.00002387631,0.000501307,0.0005295069,0.0004266129,0.0002582934,0.00004362486,2.285271e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004073026,"about_ca_system_score_gemma":0.000006657684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001319264,"about_ca_topic_score_gemma":0.002977365,"domain_scores_codex":[0.9988709,0.00002101732,0.0001264162,0.0003726336,0.00006302344,0.0005460038],"domain_scores_gemma":[0.9995025,0.0002023629,0.00005080682,0.0000808187,0.00009093629,0.00007252835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001703507,0.00009031076,0.1020371,0.000133863,0.00003880866,0.000005156594,0.0004515362,0.000005808365,0.0001653824,0.841083,0.01113427,0.04468444],"study_design_scores_gemma":[0.0003184848,0.0002270447,0.7957638,0.00000571592,0.00001928795,0.000001740691,0.008656803,0.00003417273,0.00001327847,0.03484888,0.1599945,0.0001162351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8840073,0.0004551272,0.00001451752,0.1133733,0.00002954165,0.001330969,0.00003204657,0.0000251796,0.0007319635],"genre_scores_gemma":[0.9848335,0.007749629,0.0005112368,0.002527086,0.00008719373,0.0002873532,0.00003884431,8.835282e-7,0.003964316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8062341,"threshold_uncertainty_score":0.9988477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528165977830667,"score_gpt":0.2448455109567503,"score_spread":0.2295638511784436,"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."}}