{"id":"W4410759006","doi":"10.1016/j.greeac.2025.100282","title":"Development and validation of a retracted thin film solid phase microextraction device for time weighted average monitoring of artificial sweeteners concentration in surface waters","year":2025,"lang":"en","type":"article","venue":"Green Analytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo","keywords":"Solid-phase microextraction; Chromatography; Materials science; Phase (matter); Analytical Chemistry (journal); Chemistry; Gas chromatography–mass spectrometry; Mass spectrometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005994736,0.0001110668,0.0002072857,0.00002969063,0.00001719708,0.000007487728,0.00006657016,0.0001813607,0.000006067839],"category_scores_gemma":[0.00008390845,0.0001185932,0.00002846092,0.0002025618,0.0000515026,0.00007617602,0.00001530954,0.0001474244,3.906554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134876,"about_ca_system_score_gemma":0.00001211912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005127567,"about_ca_topic_score_gemma":7.078049e-7,"domain_scores_codex":[0.9991978,0.000004345507,0.0003990602,0.0001539931,0.0000918217,0.0001530153],"domain_scores_gemma":[0.9996669,0.00008716583,0.00006365134,0.00009390645,0.00006062774,0.00002773602],"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":[0.00006050347,0.00003673054,0.0004729434,0.0002984333,0.00003680392,0.000001013956,0.0000603875,0.008876088,0.9886357,0.000005706953,0.000008088095,0.00150764],"study_design_scores_gemma":[0.0003662398,0.000005152632,0.0001055977,0.00008650179,0.00001993026,4.077454e-7,0.00008045373,0.1699098,0.8292181,0.00008379546,0.00003985041,0.00008411668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951935,0.00002603345,0.004407661,0.00003688463,0.00002082584,0.0001075444,0.00001368194,0.000080459,0.0001133461],"genre_scores_gemma":[0.9944769,0.000008862466,0.005360404,0.000001535464,0.00001141348,0.000004666069,0.0000637363,0.000008537831,0.0000639956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610337,"threshold_uncertainty_score":0.483609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514144090681285,"score_gpt":0.2814516889883554,"score_spread":0.2663102480815426,"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."}}