{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004420541,0.000833351,0.0007047384,0.0006770774,0.0005783637,0.0003087602,0.0007305723,0.00069564,0.0009462865],"category_scores_gemma":[0.0005558053,0.0004010629,0.0003709734,0.0003329853,0.0004532732,0.0004545451,0.0005036295,0.0008211014,0.0008897472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005243024,"about_ca_system_score_gemma":0.0004113398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403123,"about_ca_topic_score_gemma":0.003005415,"domain_scores_codex":[0.9990729,0.00008289265,0.00004825619,0.0003338243,0.0004079092,0.00005414703],"domain_scores_gemma":[0.9995627,0.0001643022,0.00005113691,0.00006572186,0.0001319896,0.00002412178],"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":[0.00003046735,0.00001219154,0.0002186198,0.00004791857,0.000006537806,0.00002493222,0.00001624219,0.00008538166,0.9945849,0.00005292097,0.00006017166,0.004859818],"study_design_scores_gemma":[0.000007601313,0.0001782626,0.002202179,0.000004839399,0.00001322027,0.0002232015,0.00001498476,0.003048826,0.9901932,0.0001040861,0.003990617,0.00001899864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3871572,0.002328556,0.6008917,0.000209296,0.0002150781,0.001369679,0.001600049,0.002486652,0.003741843],"genre_scores_gemma":[0.3922734,0.001745736,0.5928937,0.0003410598,0.0001107582,0.001868046,0.001470236,0.0002594811,0.009037626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001403123,"threshold_uncertainty_score":0.003804088,"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."}}