{"id":"W3185225190","doi":"10.1002/etc.5179","title":"Microwave-Assisted Extraction for Quantification of Microplastics Using Pyrolysis–Gas Chromatography/Mass Spectrometry","year":2021,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Herbert W. Hoover Foundation; Georgia Aquarium","keywords":"Microplastics; Detection limit; Chromatography; Extraction (chemistry); Polypropylene; Gas chromatography–mass spectrometry; Gas chromatography; Polycarbonate; Mass spectrometry; Polystyrene; Chemistry; Environmental chemistry; Polymer; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007681743,0.001129205,0.0006126334,0.001385383,0.0003196345,0.0003392011,0.0004799439,0.0007275552,0.0009190553],"category_scores_gemma":[0.0008574867,0.000514623,0.0007954191,0.0009267565,0.0003537599,0.0007287338,0.0005272097,0.0009642903,0.0007029223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780476,"about_ca_system_score_gemma":0.0004904947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007009452,"about_ca_topic_score_gemma":0.001489483,"domain_scores_codex":[0.999081,0.0001151137,0.00006378945,0.0002178311,0.0004685917,0.00005367616],"domain_scores_gemma":[0.9996437,0.0001185646,0.0000724655,0.00003313412,0.0001184768,0.00001371726],"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":[0.00002908305,0.00001834633,0.0003146684,0.0001619712,0.00002122816,0.0000503333,0.0000116247,0.0002291524,0.9907952,0.00008139703,0.00006080743,0.00822628],"study_design_scores_gemma":[0.000007490775,0.0001094963,0.002254146,0.00002221347,0.00003089787,0.0002911426,0.00001591685,0.005700717,0.9886944,0.0001248811,0.002722479,0.00002630213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3434874,0.01423962,0.6344085,0.0002456373,0.0002222715,0.0005916306,0.001460188,0.001720659,0.003624103],"genre_scores_gemma":[0.536068,0.01231346,0.4447676,0.0003987293,0.00009116491,0.0007340108,0.001120432,0.0001674672,0.0043391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001385383,"threshold_uncertainty_score":0.004062533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129229805238413,"score_gpt":0.2258191988896383,"score_spread":0.2145269008372541,"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."}}