{"id":"W2899491025","doi":"10.1039/c8em00342d","title":"Lab-simulated downhole leaching of formaldehyde from proppants by high performance liquid chromatography (HPLC), headspace gas chromatography-vacuum ultraviolet (HS-GC-VUV) spectroscopy, and headspace gas chromatography-mass spectrometry (HS-GC-MS)","year":2018,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Chromatography; Formaldehyde; Chemistry; Gas chromatography; Mass spectrometry; High-performance liquid chromatography; Gas chromatography–mass spectrometry; Leaching (pedology); Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0009510398,0.001327398,0.001088528,0.0003003032,0.001565426,0.0003167694,0.001752,0.0003846749,0.001116169],"category_scores_gemma":[0.0000608004,0.00122052,0.0002279973,0.004115578,0.008020319,0.003471364,0.001070089,0.0007326568,0.0002186398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007305042,"about_ca_system_score_gemma":0.0001190791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796584,"about_ca_topic_score_gemma":0.00007274371,"domain_scores_codex":[0.991269,0.0001369354,0.001096077,0.002248148,0.00248501,0.002764859],"domain_scores_gemma":[0.9964508,0.0001122782,0.0009190339,0.001201216,0.00002001172,0.001296659],"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":[0.0002323346,0.0005402563,0.2709199,0.0001085301,0.00007183828,0.00001247755,0.001279822,0.001008594,0.7250247,0.000004434178,0.0002528741,0.0005441952],"study_design_scores_gemma":[0.00172983,0.003309292,0.4219817,0.0003213609,0.0001426378,0.0001050814,0.001240065,0.006396258,0.5622911,0.000182946,0.0006642183,0.001635531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944161,0.001168633,0.001185573,0.0002197258,0.0002155428,0.001161866,0.0002245033,0.0002851901,0.00112285],"genre_scores_gemma":[0.9841554,0.004349525,0.01063413,0.0003246853,0.0001256164,0.00004419763,0.0001442314,0.0001366824,0.00008550892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1627336,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003507578100014195,"score_gpt":0.2075805482370025,"score_spread":0.2040729701369883,"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."}}