{"id":"W2046539611","doi":"10.1016/j.chroma.2012.08.089","title":"Investigation and optimization of particle dimensions for needle trap device as an exhaustive active sampler","year":2012,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Desorption; Trap (plumbing); Sorbent; Chemistry; Adsorption; Chromatography; Particle (ecology); Extraction (chemistry); Particle size; Process engineering; Analytical Chemistry (journal); Environmental science; Engineering; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002003378,0.0001540474,0.0002998064,0.0001034895,0.00009856852,0.00002109524,0.000106218,0.0001300061,0.0001590716],"category_scores_gemma":[0.00009076641,0.0001353008,0.000225314,0.000343719,0.000208376,0.0006326772,0.00001693428,0.0001422901,3.482679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430671,"about_ca_system_score_gemma":0.00004648009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008884422,"about_ca_topic_score_gemma":7.446026e-7,"domain_scores_codex":[0.9989139,0.00002064548,0.0004753757,0.0001221826,0.0002321025,0.0002357631],"domain_scores_gemma":[0.9985418,0.0001683763,0.0005052974,0.0001374712,0.0002931498,0.0003538681],"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":[0.0008852312,0.001017858,0.1554891,0.0008000155,0.00113616,0.000005001358,0.005416269,0.00110114,0.8281015,0.004804916,0.0004395462,0.000803275],"study_design_scores_gemma":[0.001623151,0.0002683598,0.007286375,0.0002181415,0.0005463476,0.0001309191,0.003643601,0.002663877,0.9811743,0.001966001,0.000215473,0.0002634347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995833,0.0004282494,0.003195128,0.00006268651,0.00003149222,0.00006434722,0.00002377464,0.00001653308,0.0003448102],"genre_scores_gemma":[0.9917001,0.00006373406,0.007988983,0.00005943182,0.000138309,0.000007504118,0.00001616997,0.00001752717,0.000008199039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1530728,"threshold_uncertainty_score":0.5517408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911079442865113,"score_gpt":0.2742839564135158,"score_spread":0.2451731619848646,"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."}}