{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001222882,0.0005704545,0.0004173359,0.000112461,0.0001728185,0.0002295909,0.0003685059,0.000454671,0.0231723],"category_scores_gemma":[0.00001812285,0.0004488925,0.0001654496,0.0000294514,0.0002415835,0.0001581456,0.0007075841,0.0005931018,0.06142632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324068,"about_ca_system_score_gemma":0.00002172293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003091404,"about_ca_topic_score_gemma":0.0004983151,"domain_scores_codex":[0.9974752,0.00001919631,0.0004432207,0.0008465047,0.0005342294,0.0006816297],"domain_scores_gemma":[0.998977,0.0001437023,0.0001326725,0.0004898265,0.00001332437,0.0002434679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009540275,0.0005373909,0.003793873,0.0007960061,0.003721437,0.003928843,0.01622224,0.01785979,0.5838181,0.01127411,0.2179597,0.1391345],"study_design_scores_gemma":[0.0006151245,0.0001207692,0.0004976825,0.0007905037,0.000352968,0.00001396303,0.00004728289,0.0006210149,0.009071612,0.01810729,0.9683285,0.001433273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1049796,0.002079447,0.007293347,0.004392732,0.05885385,0.003523931,0.004514351,0.002155575,0.8122072],"genre_scores_gemma":[0.04246668,0.001455802,0.0004519765,0.0003266552,0.0008313252,0.00001448084,0.0004662317,0.0002766381,0.9537102],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7503688,"threshold_uncertainty_score":0.9997963,"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."}}