{"id":"W2946202260","doi":"","title":"Identification and Quantification of Microplastics Using Nile Red Staining","year":2018,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Microplastics; Nile red; Environmental science; Environmental chemistry; Contamination; Stain; Pollutant; Pulp and paper industry; Staining; Fluorescence; Chemistry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001143538,0.0008846396,0.0004503733,0.002029263,0.0005319141,0.0007263681,0.0006021251,0.0008213088,0.001107685],"category_scores_gemma":[0.0008666431,0.0003699714,0.0004213517,0.0009956468,0.000655666,0.0007656891,0.0007213558,0.0006658159,0.001195784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909508,"about_ca_system_score_gemma":0.0006323463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649492,"about_ca_topic_score_gemma":0.003915274,"domain_scores_codex":[0.9989333,0.0001618777,0.0001094396,0.000267203,0.0004236422,0.0001045611],"domain_scores_gemma":[0.9991934,0.0001731747,0.0002391825,0.00006283612,0.0002928989,0.00003856765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002434131,0.00001770842,0.0004152053,0.0001603373,0.000007087156,0.00007625168,0.00005882851,0.000189078,0.9945286,0.0001502262,0.00007273634,0.004299633],"study_design_scores_gemma":[0.000003478852,0.0001080446,0.002754923,0.00003877953,0.00001498899,0.0002056142,0.0001034819,0.001909117,0.9898263,0.0001592539,0.004853643,0.00002239379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.503403,0.009920245,0.4698052,0.0005803735,0.0001898537,0.001061791,0.001928904,0.001865183,0.01124531],"genre_scores_gemma":[0.4096664,0.01177869,0.5598725,0.0004214547,0.00003802061,0.001072232,0.00212195,0.0002310775,0.01479768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002029263,"threshold_uncertainty_score":0.006047726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0920206702054126,"score_gpt":0.3856727437328882,"score_spread":0.2936520735274756,"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."}}