{"id":"W3199200056","doi":"10.1139/cjfas-2021-0121","title":"Microlitter in the water, sediments, and mussels of the Saint John River (Wolastoq) watershed, Atlantic Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Tributary; Environmental science; Watershed; Sediment; Surface water; STREAMS; Aquatic ecosystem; Water quality; Hydrology (agriculture); Fishery; Ecology; Geography; Biology; Geology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001791851,0.0001871741,0.0002289898,0.001091534,0.002044146,0.000881854,0.000267766,0.0002224111,0.0006262601],"category_scores_gemma":[0.0004402028,0.0002097786,0.0001490832,0.001367373,0.0006173537,0.0001918962,0.0005515747,0.0002238629,0.00009340387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005868373,"about_ca_system_score_gemma":0.006375781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9590583,"about_ca_topic_score_gemma":0.9902695,"domain_scores_codex":[0.9997234,0.00001214646,0.00001217766,0.00005081172,0.0001355178,0.00006594194],"domain_scores_gemma":[0.9995562,0.00002755427,0.00007213236,0.000009114224,0.0002677595,0.00006724116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007211966,0.00002099641,0.9782521,0.00003136979,0.00004175144,0.0002274261,0.00269191,0.0001598167,0.01168884,0.00007120043,0.0002245909,0.006518051],"study_design_scores_gemma":[0.000001171111,0.00001622042,0.9971395,0.000004970357,0.000008380319,0.00004303277,0.00152568,0.0001601938,0.0005633252,0.00001046862,0.0005223209,0.000004923576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989139,0.00005873324,0.00005667443,0.00002663245,8.127936e-7,0.000009838345,0.0002659789,0.000003791685,0.0006636794],"genre_scores_gemma":[0.9973537,0.0001791807,0.0003319836,0.00004136725,0.000001246069,0.000009312057,0.0004467103,0.000004944559,0.001631738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04094166,"threshold_uncertainty_score":0.08236551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007657580400968467,"score_gpt":0.1654804587401024,"score_spread":0.1578228783391339,"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."}}