{"id":"W4394878380","doi":"10.2139/ssrn.4797246","title":"Surface Water Microplastics in the St. Lawrence River and Estuary in Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Microplastics; Estuary; Oceanography; Environmental science; Surface water; Hydrology (agriculture); Fishery; Geography; Geology; Environmental engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001886718,0.000218659,0.0003555877,0.001412196,0.002417343,0.001595615,0.0006236929,0.0005321697,0.001386685],"category_scores_gemma":[0.0005517167,0.000257792,0.0002732088,0.003605541,0.0007635197,0.000419454,0.0007516386,0.0003129355,0.0002471565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0216014,"about_ca_system_score_gemma":0.02211142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962828,"about_ca_topic_score_gemma":0.9984549,"domain_scores_codex":[0.9996314,0.00001817865,0.00001977712,0.00006795394,0.0001262501,0.0001365021],"domain_scores_gemma":[0.9994522,0.0000351018,0.00005421637,0.00001071688,0.0003630276,0.0000848012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115356,0.00004846277,0.9707917,0.0001222493,0.00009606451,0.0004715564,0.003116317,0.001253098,0.002831716,0.0008712071,0.003107432,0.01707869],"study_design_scores_gemma":[0.000003551283,0.000009938871,0.9948731,0.00001976484,0.00001223261,0.00003191212,0.002205008,0.0007301192,0.0001996377,0.00004129207,0.001864543,0.000008860536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936103,0.0004205836,0.00009993042,0.0001819494,0.000006823334,0.00001136216,0.002346987,0.00001874764,0.00330326],"genre_scores_gemma":[0.9949904,0.0002888946,0.0001632549,0.000045137,0.000002332391,0.000006023423,0.001021076,0.000007873163,0.003474984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216014,"threshold_uncertainty_score":0.1567299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004933746615999677,"score_gpt":0.1857629421367621,"score_spread":0.1808291955207624,"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."}}