{"id":"W2291328397","doi":"10.1007/s12127-016-0191-6","title":"The detection of nicotine in e-liquids using ion mobility spectrometry","year":2016,"lang":"en","type":"article","venue":"International Journal for Ion Mobility Spectrometry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Ion-mobility spectrometry; Nicotine; Mass spectrometry; Chromatography; Chemistry; Explosive material; Analytical Chemistry (journal); 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":[0.0005188514,0.000622757,0.0002836488,0.0007056638,0.0002852578,0.0006053172,0.0007655629,0.001053595,0.000641701],"category_scores_gemma":[0.0007644329,0.0002279135,0.0004385547,0.0003958664,0.0004208171,0.001058718,0.0006507917,0.0006621917,0.000636749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760651,"about_ca_system_score_gemma":0.0004027353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386495,"about_ca_topic_score_gemma":0.001488866,"domain_scores_codex":[0.9995319,0.00008653675,0.00002969936,0.00008686649,0.0002094989,0.00005565205],"domain_scores_gemma":[0.9997893,0.00007282477,0.0000395087,0.00001635746,0.00006365249,0.00001839387],"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":[0.0001527538,0.00002870506,0.001974124,0.00007258749,0.00002510749,0.000120436,0.00003322372,0.0001277442,0.9857045,0.0003156249,0.0001452825,0.01129983],"study_design_scores_gemma":[0.000005339767,0.00009601928,0.001456072,0.000009407418,0.00002069456,0.0002780234,0.00005199099,0.003329334,0.99255,0.0001412732,0.002046927,0.00001488476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8354982,0.01371538,0.1354169,0.0009542928,0.0005681012,0.0002496142,0.0009813235,0.0007055339,0.01191071],"genre_scores_gemma":[0.9152715,0.007274233,0.06889591,0.0004950655,0.0000977419,0.0001059984,0.0004641544,0.00005508694,0.007340272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386495,"threshold_uncertainty_score":0.002756894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413746691431368,"score_gpt":0.2846863490393078,"score_spread":0.2705488821249941,"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."}}