{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001672779,0.0002765328,0.0004612306,0.00003107327,0.0001323462,0.00002602105,0.0004541502,0.0003211951,0.005780974],"category_scores_gemma":[0.000136243,0.0002263568,0.0005315508,0.001261168,0.0001491444,0.00006463765,0.00003894182,0.000302886,0.000001994501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017277,"about_ca_system_score_gemma":0.00003924685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004626964,"about_ca_topic_score_gemma":0.00000459001,"domain_scores_codex":[0.9982126,0.000009780155,0.000526375,0.0004969879,0.0003713556,0.000382854],"domain_scores_gemma":[0.9985242,0.0002409009,0.0002150714,0.0007141592,0.0001799389,0.0001257092],"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":[0.0001456856,0.0002567426,0.001111118,0.0002791749,0.001022387,0.000001123106,0.00004163619,0.000123843,0.9940825,0.001147092,0.0004409512,0.001347758],"study_design_scores_gemma":[0.0003082805,0.00002256553,0.0009969767,0.00002033369,0.003389703,0.000002861238,0.00005854009,0.2714033,0.7207124,0.001439929,0.001388063,0.0002570151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7680133,0.0006350432,0.1917501,0.0005984444,0.00003764101,0.000772673,0.000607591,0.0006168556,0.03696838],"genre_scores_gemma":[0.9851453,0.00007311076,0.01306296,0.00003010073,0.0001523802,0.000140849,0.0002923487,0.00003601024,0.001066944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2733701,"threshold_uncertainty_score":0.9951279,"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."}}