{"id":"W2334814537","doi":"10.1021/ac102543s","title":"Atmospheric Pressure Laser-Induced Acoustic Desorption Chemical Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry for the Analysis of Complex Mixtures","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Chemistry; Atmospheric-pressure laser ionization; Ambient ionization; Analytical Chemistry (journal); Soft laser desorption; Desorption electrospray ionization; Mass spectrometry; Matrix-assisted laser desorption electrospray ionization; Ionization; Atmospheric pressure; Ion source; Atmospheric-pressure chemical ionization; Photoionization; Ion; Chemical ionization; Desorption; Matrix-assisted laser desorption/ionization; Thermal ionization mass spectrometry; Chromatography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008213385,0.0009404728,0.0004297126,0.0008515323,0.0003904817,0.0005256783,0.0007442615,0.0005642085,0.001888762],"category_scores_gemma":[0.001028787,0.0002985323,0.000256169,0.000722814,0.0004679711,0.0007264644,0.000643789,0.001016743,0.0009076301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212307,"about_ca_system_score_gemma":0.0004793507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004365826,"about_ca_topic_score_gemma":0.001127517,"domain_scores_codex":[0.9992014,0.0001373693,0.00003518485,0.0001659795,0.0004233873,0.00003679461],"domain_scores_gemma":[0.9995946,0.0001699599,0.00007161671,0.00004943738,0.0000831412,0.00003114862],"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":[0.00004556219,0.00002012463,0.0005900323,0.0001638831,0.00001666592,0.00003840078,0.0000135049,0.0001123722,0.9856576,0.000230085,0.0001647946,0.01294694],"study_design_scores_gemma":[0.00001942735,0.0002074814,0.003465334,0.00001612611,0.00004092964,0.0006458426,0.00002255999,0.006042062,0.9783462,0.0004460396,0.01072084,0.00002714065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3786847,0.03401706,0.570142,0.0009322225,0.0003741948,0.0005021071,0.001887325,0.002714435,0.01074601],"genre_scores_gemma":[0.5490158,0.01330341,0.4322894,0.0004014626,0.0001733331,0.0003082739,0.001107552,0.0002086051,0.003192307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001888762,"threshold_uncertainty_score":0.00631851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400011114110038,"score_gpt":0.2615805608661019,"score_spread":0.2375804497250016,"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."}}