{"id":"W2971969225","doi":"10.1016/j.talanta.2019.120320","title":"Single-use porous thin film extraction with gas chromatography atmospheric pressure chemical ionization tandem mass spectrometry for high-throughput analysis of 16 PAHs","year":2019,"lang":"en","type":"article","venue":"Talanta","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"School of Graduate Studies, Queen's University; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Atlantic Canada Opportunities Agency; School of Graduate Studies, Utah State University","keywords":"Chemistry; Mass spectrometry; Atmospheric-pressure chemical ionization; Chromatography; Chemical ionization; Extraction (chemistry); Gas Chromatography/Tandem Mass Spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Tandem; Atmospheric pressure; Ionization; Organic chemistry; Ion; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000163125,0.0002009422,0.0003598271,0.0000450018,0.00004961937,0.00003823427,0.0001888359,0.0001312524,0.003901547],"category_scores_gemma":[0.00004962786,0.00016557,0.0001240911,0.001570699,0.0001056784,0.0004645919,0.00004748119,0.0001051463,0.00003969154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012953,"about_ca_system_score_gemma":0.00001603327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002289047,"about_ca_topic_score_gemma":0.00007726019,"domain_scores_codex":[0.9985158,0.00004151954,0.0002790389,0.0004173221,0.0004248239,0.0003215134],"domain_scores_gemma":[0.999074,0.0001114446,0.0002840848,0.000435549,0.000006123536,0.00008873652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001469363,0.0002648266,0.2507158,0.00002016916,0.000878248,0.000004671346,0.0002098316,0.002400835,0.7434329,0.00003050057,0.0006140614,0.001281206],"study_design_scores_gemma":[0.001578799,0.0006597492,0.7231365,0.0000446534,0.00227269,0.0000508042,0.0002065858,0.02326274,0.2472764,0.0002350989,0.0006535161,0.0006223918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898691,0.00004660246,0.008590819,0.00004402117,0.00008568627,0.000383249,0.0001889358,0.0001060528,0.0006855246],"genre_scores_gemma":[0.9925632,0.0000184809,0.006722819,0.0000441593,0.00003066187,0.00000434839,0.00005690684,0.000034139,0.0005253003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4961565,"threshold_uncertainty_score":0.997009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006164526372238999,"score_gpt":0.2091271729580109,"score_spread":0.202962646585772,"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."}}