{"id":"W4284888426","doi":"10.1186/s43591-022-00037-z","title":"Risk characterization of microplastics in San Francisco Bay, California","year":2022,"lang":"en","type":"article","venue":"Microplastics and Nanoplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wageningen University and Research; California State Water Resources Control Board","keywords":"Environmental science; Microplastics; Bay; Confidence interval; Risk assessment; Range (aeronautics); Abundance (ecology); Statistics; Ecology; Geography; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004435749,0.0003656237,0.0004526433,0.0002518716,0.0004450089,0.00003887946,0.0002799633,0.0001320956,0.001922563],"category_scores_gemma":[0.0003083287,0.0003835792,0.00006129685,0.0007017119,0.0003140362,0.00008303779,0.0006943183,0.0005617805,0.00008605002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348499,"about_ca_system_score_gemma":0.00006980318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001967742,"about_ca_topic_score_gemma":0.0003334766,"domain_scores_codex":[0.9973672,0.000175149,0.0008097421,0.0005635967,0.0005038089,0.0005804826],"domain_scores_gemma":[0.9985439,0.0004808501,0.0004733224,0.0002842143,0.00003155147,0.0001861825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002643964,0.0004021931,0.2278119,0.00005367622,0.00002950311,0.0000421913,0.0004802375,0.01424186,0.7536097,0.0002076289,0.0008482838,0.002008506],"study_design_scores_gemma":[0.006712388,0.002377074,0.5570532,0.0001621744,0.0004772022,0.0004649363,0.0004505498,0.1889185,0.04905905,0.0009751352,0.1907503,0.002599482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592134,0.00006085617,0.03618991,0.00002236637,0.000824736,0.0002684816,0.003186662,0.00002722849,0.0002063584],"genre_scores_gemma":[0.996749,0.0002034884,0.002486796,0.0000692768,0.00005698501,0.00002224657,0.0001861473,0.00005081171,0.0001752329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7045506,"threshold_uncertainty_score":0.9998616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003612961770206796,"score_gpt":0.1696778469647772,"score_spread":0.1660648851945704,"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."}}