{"id":"W4403913041","doi":"10.1016/j.greeac.2024.100169","title":"In-bottle thin film solid phase microextraction coupled to flow modulated comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry for monitoring of organic pollutants in environmental waters","year":2024,"lang":"en","type":"article","venue":"Green Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Mass spectrometry; Solid-phase microextraction; Pollutant; Chromatography; Environmental chemistry; Environmental science; Bottle; Gas chromatography–mass spectrometry; Analytical Chemistry (journal); Chemistry; Materials science","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":[0.0007693648,0.00139151,0.0006130809,0.0008054601,0.0004213264,0.0005166597,0.0009378729,0.0010048,0.001462955],"category_scores_gemma":[0.0006471395,0.0004564555,0.0006872198,0.0005144089,0.0002671085,0.0005347841,0.0006219504,0.0008163801,0.001307704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955147,"about_ca_system_score_gemma":0.000738552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009555462,"about_ca_topic_score_gemma":0.003134049,"domain_scores_codex":[0.9989134,0.0001312861,0.00005969051,0.0002761299,0.0005529561,0.00006650986],"domain_scores_gemma":[0.9997199,0.00006831294,0.00004396869,0.00003982409,0.0001084137,0.00001950449],"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":[0.00002147976,0.00001786353,0.0001261061,0.00005746858,0.00001140308,0.00002721508,0.000008038566,0.0000626088,0.9955758,0.00003642336,0.0001428416,0.003912711],"study_design_scores_gemma":[0.000006832483,0.0001027068,0.001016014,0.000007666217,0.00002625213,0.0002066379,0.0000114509,0.002788814,0.9917727,0.00005930944,0.003980658,0.00002094192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.337453,0.007873246,0.6378316,0.000698045,0.0006820309,0.0009543401,0.004835519,0.004536096,0.005136141],"genre_scores_gemma":[0.3644002,0.007003293,0.606195,0.0006755925,0.000128536,0.001265786,0.005911348,0.0004139672,0.01400629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001462955,"threshold_uncertainty_score":0.004894137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540568863366076,"score_gpt":0.3010092200523327,"score_spread":0.2856035314186719,"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."}}