{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003386485,0.0001704888,0.0001970454,0.00002642124,0.0000408595,0.00004608235,0.0001295827,0.00007088543,0.001333589],"category_scores_gemma":[0.0001547165,0.0001269702,0.0000513739,0.000156344,0.0001144183,0.0002292291,0.00009755613,0.0001173523,0.000690073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006756764,"about_ca_system_score_gemma":0.00001396311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000443525,"about_ca_topic_score_gemma":0.0002515897,"domain_scores_codex":[0.9990031,0.000008556976,0.0002043391,0.0002550253,0.0002769731,0.0002520148],"domain_scores_gemma":[0.9992517,0.0003003962,0.0001944322,0.0001496131,0.00001969112,0.00008414216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005988095,0.0006639914,0.7787344,0.0002525277,0.0001782865,0.0001101749,0.001041824,0.01722943,0.121011,0.0005105467,0.0679829,0.01168612],"study_design_scores_gemma":[0.00454999,0.00252048,0.7569945,0.001172307,0.0001775869,0.0001181438,0.002353292,0.01686293,0.01978827,0.0003198493,0.1931247,0.002017992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681331,0.00001266958,0.002594877,0.000007062702,0.0002721031,0.0001583239,0.0008677637,0.00002700982,0.02792713],"genre_scores_gemma":[0.9971529,0.000001326872,0.0005710422,0.00002762006,0.0000203552,0.00000272983,0.00004805301,0.00001764621,0.002158283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251418,"threshold_uncertainty_score":0.9995793,"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."}}