{"id":"W2091438346","doi":"10.1002/jssc.200800593","title":"Solid phase extraction of polyhalogenated pollutants from freshwater using chemically modified multi‐walled carbon nanotubes and their determination by gas chromatography","year":2009,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Solid phase extraction; Extraction (chemistry); Adsorption; Carbon nanotube; Chromatography; Desorption; Detection limit; Gas chromatography; Chemistry; Aqueous solution; Analyte; Sample preparation; Solid-phase microextraction; Polyethylene glycol; Pentachlorophenol; Materials science; Environmental chemistry; Nanotechnology; Gas chromatography–mass spectrometry; Mass spectrometry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005516978,0.0001616871,0.0003023673,0.0001508583,0.00009727117,0.00006741947,0.0002342815,0.0001138841,0.00004926716],"category_scores_gemma":[0.0002794061,0.0001281438,0.00007147597,0.0003431789,0.0002308874,0.0004424193,0.00002437903,0.0001646407,1.584961e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344555,"about_ca_system_score_gemma":0.0001674361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439924,"about_ca_topic_score_gemma":0.000001943675,"domain_scores_codex":[0.9983163,0.00002689474,0.0007178847,0.0002395236,0.0004979653,0.0002013932],"domain_scores_gemma":[0.9985361,0.00009602608,0.0006801778,0.000140057,0.0003888342,0.0001587733],"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":[0.0001114472,0.0001555898,0.0001120463,0.000007985971,0.00001854068,0.000004319652,0.0004263051,0.00003079292,0.9958247,9.781799e-7,0.00000309385,0.003304187],"study_design_scores_gemma":[0.0009607578,0.00004042987,0.0002507158,0.00006458793,0.00002680799,0.00005955294,0.0001089938,0.1264501,0.8716987,0.0002120674,0.000009861697,0.0001174563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553841,0.0001429611,0.04416775,0.00006611928,0.00004149319,0.00003919495,0.00002670742,0.00001027468,0.0001214373],"genre_scores_gemma":[0.9736269,0.00004030292,0.02623485,0.00002700206,0.00004401547,5.041662e-7,0.000004751231,0.00000606039,0.0000156211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264193,"threshold_uncertainty_score":0.5225554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700593774917751,"score_gpt":0.387977151349579,"score_spread":0.3509712136004015,"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."}}