{"id":"W6996389116","doi":"","title":"Salmon with a Side of Plastic: Microplastics are Contaminating Vancouver Aquaculture","year":2019,"lang":"en","type":"article","venue":"Digital WPI","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microplastics; Aquaculture; Aquatic animal; Fishing; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640292,0.0003142084,0.0001469728,0.0007302253,0.002084817,0.001828952,0.0002851208,0.0006591275,0.004804604],"category_scores_gemma":[0.0008518439,0.000237259,0.0001943362,0.001376835,0.0005876228,0.0003206383,0.001115168,0.0006422343,0.001037484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003440161,"about_ca_system_score_gemma":0.004640833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4151531,"about_ca_topic_score_gemma":0.7849851,"domain_scores_codex":[0.9993355,0.00002929225,0.00002719112,0.00008011083,0.0004373838,0.00009057044],"domain_scores_gemma":[0.9987783,0.00008403043,0.0002999538,0.00003099971,0.0006133956,0.0001933479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003785231,0.0000738755,0.7496036,0.0004662706,0.00006324574,0.00135396,0.003245354,0.0004269692,0.09469192,0.0004872716,0.006311785,0.1428973],"study_design_scores_gemma":[0.000009531191,0.0004051278,0.916733,0.0002041708,0.00007656727,0.0009391176,0.01488347,0.0004513273,0.02505237,0.0002462446,0.04094944,0.00004954079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97832,0.0008260586,0.0006801599,0.0008532407,0.00005117195,0.00002876024,0.0005200544,0.00005767415,0.01866292],"genre_scores_gemma":[0.9607592,0.001551684,0.002263184,0.0005810586,0.00001999401,0.00001601592,0.0004544222,0.00002601183,0.03432842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5848469,"threshold_uncertainty_score":0.8254734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376312209499999,"score_gpt":0.1660280621262833,"score_spread":0.1626517499167833,"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."}}