{"id":"W4406229004","doi":"10.1016/j.jglr.2024.102505","title":"Anthropogenic litter and plastics across size classes on a mechanically groomed Great Lakes urban beach","year":2025,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Litter; Environmental science; Microplastics; Hydrology (agriculture); Ecology; Geology; Biology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00008425258,0.0002444602,0.0001446461,0.0007530761,0.0005098089,0.0005566579,0.0002010494,0.0001969321,0.001985312],"category_scores_gemma":[0.0003356239,0.0001807333,0.0001800378,0.000713539,0.0003985927,0.0003019405,0.0006670748,0.0001372195,0.0001920079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004618973,"about_ca_system_score_gemma":0.0002348963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03827741,"about_ca_topic_score_gemma":0.1500479,"domain_scores_codex":[0.9998926,0.00001151455,0.000008063081,0.00003904456,0.000021453,0.00002732477],"domain_scores_gemma":[0.9996564,0.00003253093,0.0001482842,0.00001899341,0.00005579866,0.00008798493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001151221,0.00002003982,0.9875207,0.00002514368,0.00003907416,0.0001313023,0.001029505,0.0001165923,0.007316198,0.00002186847,0.0001075084,0.00355709],"study_design_scores_gemma":[3.617721e-7,0.00001331902,0.9995226,0.000001287832,0.000002643191,0.00001128035,0.0003212445,0.00003769423,0.00004956099,0.000001862054,0.00003740217,8.277753e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995674,0.0000144242,0.00001676396,0.000006595187,3.675495e-7,0.000002860755,0.0001086658,0.000002567225,0.0002802484],"genre_scores_gemma":[0.9992112,0.0000295018,0.00009517894,0.000009076224,0.000001253777,0.000006985133,0.0001670581,0.000001713208,0.0004779075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9617226,"threshold_uncertainty_score":0.07610923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924562888377004,"score_gpt":0.3283604596256547,"score_spread":0.2991148307418847,"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."}}