{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473856,0.0000854461,0.0001018624,0.0001236629,0.0003442912,0.00009487505,0.0001945864,0.00005626096,0.0001930223],"category_scores_gemma":[0.0004077842,0.00008182155,0.00001496278,0.0004587441,0.0006377866,0.0001762337,0.0003055674,0.0001440849,0.0000662577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309649,"about_ca_system_score_gemma":0.00002058196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001460076,"about_ca_topic_score_gemma":0.00002313437,"domain_scores_codex":[0.9984178,0.00002581713,0.0002823158,0.0003229993,0.0006410111,0.0003100608],"domain_scores_gemma":[0.999392,0.00008220447,0.0001292146,0.00009980774,0.0002110473,0.0000856847],"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":[0.00002840801,0.00005291056,0.04473033,0.00002729145,0.000007121669,3.087314e-7,0.001463069,0.00001086169,0.9509333,0.0008803236,0.001323607,0.0005425148],"study_design_scores_gemma":[0.0007662777,0.0007227728,0.4194894,0.0001917663,0.00004771124,0.00002368813,0.004566018,0.03398071,0.531286,0.002473697,0.006051992,0.0003999904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934368,0.00001459671,0.004366983,0.0000537627,0.00008866591,0.0002556948,0.000007321352,0.00001381423,0.001762341],"genre_scores_gemma":[0.9984269,0.00002765187,0.001144765,0.000004472437,0.00007799477,0.000007650318,0.000002371645,0.00001058155,0.0002976159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196472,"threshold_uncertainty_score":0.3336586,"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."}}