{"id":"W4402679242","doi":"10.1007/978-981-97-6461-7_10","title":"The Advancements and Detection Methodologies for Microplastic Detection in Environmental Samples","year":2024,"lang":"en","type":"book-chapter","venue":"Microplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Environmental science","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"],"consensus_categories":[],"category_scores_codex":[0.000360693,0.0004832844,0.0003308011,0.0001231247,0.0003917275,0.0001276123,0.0001849026,0.0003595733,0.0001517688],"category_scores_gemma":[0.0001869705,0.0003903221,0.0001086696,0.00004925558,0.000502405,0.00006990398,0.0003254049,0.0004798022,0.0003328705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492572,"about_ca_system_score_gemma":0.00001532113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113083,"about_ca_topic_score_gemma":0.001644607,"domain_scores_codex":[0.9980626,0.00003205816,0.0005163429,0.0006846403,0.0002321967,0.0004721709],"domain_scores_gemma":[0.9978576,0.001595974,0.0002114719,0.0002406207,0.000006936148,0.00008744833],"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":[0.0007414622,0.00005573731,0.0001723949,0.0002893154,0.000227754,0.00002997638,0.0002953525,0.00200587,0.630761,0.003511104,0.00224253,0.3596675],"study_design_scores_gemma":[0.0006849206,0.0004524803,0.0006734754,0.0001781769,0.0003142175,0.0001048574,0.00006883487,0.004429822,0.01567563,0.03199395,0.9446073,0.0008162942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05460415,0.01303365,0.8639439,0.0002433669,0.02904642,0.005610482,0.005205819,0.0004273987,0.02788483],"genre_scores_gemma":[0.7036102,0.01274676,0.01603528,0.0001523715,0.001486821,0.0002961359,0.0002810984,0.0005281512,0.2648631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9423648,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347387930347403,"score_gpt":0.2358736893255072,"score_spread":0.2123998100220332,"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."}}