{"id":"W2908654802","doi":"10.1080/10826076.2018.1539673","title":"Development of a method for extraction and determination of 4,4′-methylenedianiline in soils by solid-phase extraction and UPLC-MS-MS","year":2018,"lang":"en","type":"article","venue":"Journal of Liquid Chromatography & Related Technologies","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Chemistry; Solid phase extraction; Extraction (chemistry); Loam; Chromatography; Soil water; Liquid chromatography–mass spectrometry; Soil test; Tandem mass spectrometry; Mass spectrometry; Environmental chemistry; Environmental science; Soil 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092008,0.001293479,0.0009066214,0.001507487,0.0005036787,0.0006733635,0.0009855378,0.001294444,0.001064611],"category_scores_gemma":[0.001249603,0.000780043,0.0006147376,0.0007089366,0.0004647668,0.0007344189,0.0007556198,0.001279632,0.001811604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005805774,"about_ca_system_score_gemma":0.001586602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506473,"about_ca_topic_score_gemma":0.00469158,"domain_scores_codex":[0.9984768,0.0001885836,0.0001257759,0.0004052107,0.0007056164,0.00009798714],"domain_scores_gemma":[0.9993617,0.0001407581,0.0001377951,0.00004578596,0.0002673007,0.00004655181],"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":[0.00003425576,0.00005296899,0.0004447252,0.0001891757,0.00002451546,0.000075676,0.00001867873,0.0002672954,0.9876255,0.0001242968,0.0001553055,0.01098757],"study_design_scores_gemma":[0.00004376224,0.000547377,0.003944718,0.00005014386,0.0000476022,0.0006905296,0.00004599972,0.007050439,0.9760224,0.0002544675,0.01122492,0.00007761236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1893223,0.007008563,0.7851959,0.0004288514,0.0003325614,0.002950688,0.005504595,0.005006413,0.004250033],"genre_scores_gemma":[0.2278612,0.005115959,0.7535901,0.0007286745,0.00009897471,0.003310486,0.003621942,0.0002137707,0.005458813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001507487,"threshold_uncertainty_score":0.005775154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00993288417303549,"score_gpt":0.3171452916829685,"score_spread":0.307212407509933,"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."}}