{"id":"W2127770298","doi":"10.1039/c0an00331j","title":"Desorption electrospray ionization-mass spectrometry for the detection of analytes extracted by thin-film molecularly imprinted polymers","year":2010,"lang":"en","type":"article","venue":"The Analyst","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Edgewood Chemical Biological Center","keywords":"Analyte; Chemistry; Molecularly imprinted polymer; Mass spectrometry; Chromatography; Detection limit; Desorption; Electrospray; Desorption electrospray ionization; Aqueous solution; Electrospray ionization; Extraction (chemistry); Tap water; Analytical Chemistry (journal); Ionization; Chemical ionization; Selectivity; Adsorption; Organic chemistry","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":[0.001028414,0.001735535,0.001054853,0.001624261,0.000447572,0.0005580399,0.001206065,0.001145187,0.006251334],"category_scores_gemma":[0.0009937624,0.0005074595,0.0005844847,0.001443636,0.0003450836,0.001033741,0.0007644428,0.001440044,0.005983917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005604019,"about_ca_system_score_gemma":0.0005678064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004185872,"about_ca_topic_score_gemma":0.0007986934,"domain_scores_codex":[0.9987144,0.0002013261,0.00009293517,0.0002594839,0.0006668545,0.00006494309],"domain_scores_gemma":[0.9996119,0.0001399921,0.0000668205,0.00002724121,0.0001216638,0.00003230821],"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":[0.0001398767,0.00007791873,0.0005932221,0.0009671232,0.00007744593,0.0003240177,0.00003624,0.000338945,0.9304457,0.001171103,0.003610935,0.06221757],"study_design_scores_gemma":[0.00005024013,0.0003804051,0.002423965,0.0000837351,0.00006332393,0.002430325,0.00002967514,0.006255134,0.920894,0.000840232,0.0664873,0.0000614913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09335803,0.1203288,0.7217714,0.002218113,0.002441866,0.001630983,0.005732456,0.01497413,0.03754432],"genre_scores_gemma":[0.2701393,0.07454347,0.6053862,0.003295916,0.0007242991,0.001768831,0.00683067,0.0005607325,0.0367506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006251334,"threshold_uncertainty_score":0.02091283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007704779419520798,"score_gpt":0.2526217400840069,"score_spread":0.2449169606644861,"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."}}