{"id":"W2611405039","doi":"10.1002/ieam.1905","title":"Microplastics in the context of regulation of commercial shellfish aquaculture operations","year":2017,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Fishery; Aquaculture; Shellfish; Environmental science; Context (archaeology); Biota; Fish <Actinopterygii>; Oceanography; Aquatic animal; Ecology; Geography; Biology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002102153,0.0001232409,0.0001401581,0.00003198483,0.0001932653,0.00004509361,0.0002522738,0.00004857091,0.0003641361],"category_scores_gemma":[0.000006529169,0.0000864744,0.00003233944,0.00004212329,0.0003425425,0.0001284892,0.0001828559,0.0001030755,0.00001057686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009389123,"about_ca_system_score_gemma":0.000003868175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005555781,"about_ca_topic_score_gemma":0.001059943,"domain_scores_codex":[0.9991534,0.00004975886,0.0002755609,0.0001716562,0.0002250277,0.0001245436],"domain_scores_gemma":[0.9995435,0.00003104412,0.0001376532,0.0002594927,0.000002441254,0.00002589467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000195306,0.001969451,0.559501,0.000128504,0.0002078516,0.00002670049,0.003775561,0.004830806,0.2843964,0.02638622,0.008198851,0.1103834],"study_design_scores_gemma":[0.0006193063,0.00009528119,0.9857872,0.00004068719,0.00005160162,0.000002608805,0.001471037,0.004658334,0.002094314,0.0001396567,0.004931296,0.0001087034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894511,0.00001657568,0.003281658,0.0002834464,0.000105439,0.0004008302,0.00009422089,0.000003405486,0.006363304],"genre_scores_gemma":[0.9976481,0.0002524366,0.001739612,0.00007357485,0.000007776909,0.0000145473,0.00006246061,0.000005461309,0.0001960006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4262862,"threshold_uncertainty_score":0.3987035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009889579327931951,"score_gpt":0.2395570151641996,"score_spread":0.2296674358362676,"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."}}