{"id":"W2937606532","doi":"10.1002/etc.4416","title":"Development and Validation of an Efficient Method for Processing Microplastics in Biota Samples","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Microplastics; Biota; Environmental chemistry; Mussel; Environmental science; Chemistry; Fishery; Biology; Ecology","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":[0.003117096,0.001033343,0.000694854,0.001579329,0.0004820516,0.0006672706,0.0006468343,0.001470804,0.0007428723],"category_scores_gemma":[0.002446448,0.0005011375,0.0006990557,0.0006110563,0.0007976183,0.0007103572,0.0008914563,0.0008918143,0.0008778215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840835,"about_ca_system_score_gemma":0.001356255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196624,"about_ca_topic_score_gemma":0.002609886,"domain_scores_codex":[0.9969873,0.0004984213,0.0002469646,0.0006316585,0.001530198,0.0001055381],"domain_scores_gemma":[0.9985622,0.0002368941,0.0002768226,0.0001351313,0.0007230683,0.00006598675],"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":[0.00002761018,0.00004267878,0.0008663801,0.0002423791,0.00001785902,0.00005976512,0.00004698495,0.00021805,0.9874856,0.00008785834,0.00006309283,0.0108417],"study_design_scores_gemma":[0.00001343803,0.0004008509,0.005113084,0.00006966228,0.00005738346,0.0004300789,0.00008973908,0.005128252,0.9837779,0.0001111273,0.004762168,0.0000462839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3501457,0.005850571,0.6367832,0.0003416396,0.0002854363,0.002003518,0.001034689,0.0009085801,0.00264671],"genre_scores_gemma":[0.3020654,0.003918636,0.6871101,0.0002958696,0.00008248599,0.001402458,0.0008376783,0.0001412253,0.004146035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003117096,"threshold_uncertainty_score":0.01648498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008249419227459233,"score_gpt":0.2251285359284327,"score_spread":0.2168791167009735,"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."}}