{"id":"W2087739741","doi":"10.1002/jssc.200900023","title":"Sampling and analysis of nanoparticles with cold fibre SPME device","year":2009,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Volumetric flow rate; Chemistry; Particle size; Particle (ecology); Nanoparticle; Analytical Chemistry (journal); Coolant; Materials science; Chromatography; Nanotechnology; Mechanics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007628904,0.00006582926,0.0002201317,0.0001300359,0.0000712172,0.00005355342,0.0001684716,0.00002524197,0.00005666826],"category_scores_gemma":[0.0002193966,0.00004850087,0.00003907926,0.001088644,0.0001770142,0.0002998503,0.00001627788,0.00007799254,3.802016e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005678229,"about_ca_system_score_gemma":0.0001874828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001181902,"about_ca_topic_score_gemma":0.000001232945,"domain_scores_codex":[0.9988406,0.00000821752,0.0003811865,0.0001254693,0.0005255454,0.000118958],"domain_scores_gemma":[0.9988924,0.0001092826,0.000374025,0.0001066547,0.0003960977,0.0001215053],"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":[0.00003005894,0.00002257167,0.008199576,0.000008788403,0.00004924872,0.000002701389,0.0001952338,0.0007020278,0.9899087,0.0001288108,0.000002787923,0.0007495122],"study_design_scores_gemma":[0.000149022,0.00004463929,0.03116504,0.00004107787,0.00021212,0.00002228416,0.0001582432,0.003166194,0.9647532,0.0001006675,0.0001188473,0.0000687008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740903,0.00006750047,0.02480773,0.0002011336,0.000005975827,0.00001070123,9.584165e-7,0.000003569754,0.0008121543],"genre_scores_gemma":[0.9388448,0.00001017719,0.06101179,0.00005151747,0.00001498308,1.60505e-7,3.115923e-7,0.000001462302,0.00006477338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03620407,"threshold_uncertainty_score":0.1977808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139933114734935,"score_gpt":0.3762214267775279,"score_spread":0.3248220956301786,"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."}}