{"id":"W2067741472","doi":"10.1021/ac802524w","title":"Investigation of the Effect of the Extraction Phase Geometry on the Performance of Automated Solid-Phase Microextraction","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Solid-phase microextraction; Extraction (chemistry); Chromatography; Phase (matter); Solid phase extraction; Analytical Chemistry (journal); Gas chromatography–mass spectrometry; Organic chemistry; Mass spectrometry","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":[0.0007244247,0.0002862851,0.0004344916,0.00002559589,0.0001292266,0.00001408505,0.0006065163,0.0002839035,0.0004608635],"category_scores_gemma":[0.001404808,0.0001547268,0.0003482973,0.0006577024,0.0005166117,0.00007351168,0.00007770368,0.0006484122,0.000003322801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001647357,"about_ca_system_score_gemma":0.0001244553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005513939,"about_ca_topic_score_gemma":1.22411e-7,"domain_scores_codex":[0.9977921,0.00009026763,0.0008224675,0.0003238272,0.0006960116,0.0002752782],"domain_scores_gemma":[0.9972745,0.0008644802,0.0007067799,0.0008891675,0.0001649763,0.0001000532],"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":[0.00026343,0.0001895367,0.00228166,0.0004958513,0.00009828713,8.88926e-7,0.0000272508,0.00008621749,0.9953908,0.00001976559,0.0002863018,0.0008599957],"study_design_scores_gemma":[0.001053446,0.0001064351,0.00158859,0.0003069623,0.0002428251,0.00001572055,0.00003531855,0.02744948,0.968928,0.00004995459,0.00007746381,0.0001458151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953453,0.00002499785,0.00009601416,0.0006325879,0.00003897182,0.0001226294,0.00002269768,0.00004989623,0.003666934],"genre_scores_gemma":[0.9990061,0.000009542198,0.0001023799,0.00006469618,0.00007345087,0.000007857098,0.00001725415,0.00001574455,0.0007029723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736326,"threshold_uncertainty_score":0.6309577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074218541721809,"score_gpt":0.3465215097765625,"score_spread":0.3257793243593444,"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."}}