{"id":"W3186565908","doi":"10.24018/ejgeo.2021.2.4.133","title":"Coastal and Marine Pollution in Bangladesh: Pathways, Hotspots and Adaptation Strategies","year":2021,"lang":"en","type":"article","venue":"European Journal of Environment and Earth Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Krishi Gobeshona Foundation","keywords":"Environmental science; Pollution; Sewage; Effluent; Environmental protection; Agriculture; Environmental engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001049781,0.00007478061,0.00009140892,0.00004175732,0.0001223103,0.000105716,0.00005231657,0.00001132719,0.0002911852],"category_scores_gemma":[0.000009847366,0.00006039102,0.00001423325,0.0000807526,0.0004149462,0.0004738845,0.0001370663,0.00008278241,0.00000839724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007717012,"about_ca_system_score_gemma":0.00001300703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003111962,"about_ca_topic_score_gemma":0.0001227823,"domain_scores_codex":[0.9990164,0.0002410473,0.0002383909,0.0001516097,0.0002300801,0.000122487],"domain_scores_gemma":[0.9997332,0.00001910796,0.0001205389,0.00004030489,0.000002228148,0.00008460779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001038043,0.0002722869,0.6635628,0.00003553659,0.00002481626,0.0005719513,0.01156522,0.01538685,0.05500075,0.002256375,0.0001654983,0.2510542],"study_design_scores_gemma":[0.0003816914,0.0002316416,0.9917818,0.00001888679,0.000005690308,0.0001092129,0.002505322,0.0007560587,0.0003254382,0.0004459667,0.003355578,0.00008270297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995108,0.0002363758,0.000377215,0.0008961624,0.00004143483,0.00003028834,0.000003048943,0.000002192309,0.003305289],"genre_scores_gemma":[0.9950044,0.001009962,0.0037195,0.0001208928,0.00002274912,1.573662e-7,0.000001075521,0.000002661792,0.0001186016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3282191,"threshold_uncertainty_score":0.3188274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507409102289491,"score_gpt":0.2218756484917488,"score_spread":0.1868015574688539,"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."}}