{"id":"W4387957867","doi":"10.1007/978-3-031-34455-8_16","title":"Microplastics: What Can We Learn from Clastic Sediments?","year":2023,"lang":"en","type":"book-chapter","venue":"Springer water","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Microplastics; Environmental science; Sediment; Natural (archaeology); Sampling (signal processing); Ecology; Environmental resource management; Engineering; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007445074,0.001097529,0.000732077,0.001070802,0.0007404587,0.004105809,0.0009959385,0.002525631,0.02013156],"category_scores_gemma":[0.001197192,0.0003044951,0.0003807875,0.00128634,0.002572284,0.007467617,0.001689728,0.002939046,0.008856848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343485,"about_ca_system_score_gemma":0.001792522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003878919,"about_ca_topic_score_gemma":0.008392183,"domain_scores_codex":[0.9998124,0.00003394641,0.000009106064,0.0000303512,0.00008873013,0.0000256215],"domain_scores_gemma":[0.9995808,0.0001809924,0.0000186922,0.00003367595,0.0001058221,0.00008005182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000291907,0.00006145865,0.0004278454,0.001767345,0.0000221151,0.0001869856,0.0009357104,0.0004769152,0.001145008,0.07521667,0.4253593,0.4943715],"study_design_scores_gemma":[0.000002555598,0.00001418774,0.000325861,0.0005229327,0.000005135501,0.0001311333,0.0003859241,0.00007594142,0.0002526844,0.03175716,0.9665155,0.00001083821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001485498,0.8253686,0.002382649,0.05731434,0.0156756,0.00001301829,0.0001685974,0.0001067736,0.09748481],"genre_scores_gemma":[0.01316258,0.7291617,0.00291892,0.02148323,0.01349644,0.00002912098,0.0002358119,0.0001247342,0.2193874],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02013156,"threshold_uncertainty_score":0.06734675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417341315834728,"score_gpt":0.1907523416486589,"score_spread":0.1765789284903116,"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."}}