{"id":"W2120343340","doi":"10.1002/rcm.4939","title":"Matrix‐free mass spectrometric imaging using laser desorption ionisation <scp>F</scp>ourier transform ion cyclotron resonance mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; University of Glasgow; Scottish Funding Council; Bill and Melinda Gates Foundation","keywords":"Chemistry; Fourier transform ion cyclotron resonance; Mass spectrometry; Mass spectrometry imaging; MALDI imaging; Matrix-assisted laser desorption/ionization; Analytical Chemistry (journal); Analyte; Matrix (chemical analysis); Sample preparation; Desorption electrospray ionization; Desorption; Chromatography; Ion; Ionization; Chemical ionization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001565479,0.001043451,0.001054148,0.003665419,0.001048902,0.0003789564,0.004412816,0.0006082138,0.003761834],"category_scores_gemma":[0.0005795666,0.001223677,0.0005736875,0.009382734,0.0005278252,0.001089428,0.0005118652,0.002292424,0.00009946781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002883674,"about_ca_system_score_gemma":0.0002172517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004882999,"about_ca_topic_score_gemma":0.00007146823,"domain_scores_codex":[0.9932806,0.0003203391,0.001906807,0.001501342,0.00119964,0.001791201],"domain_scores_gemma":[0.9909855,0.0008713194,0.0009760188,0.006503562,0.0002772421,0.0003863301],"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":[0.0001370184,0.002252394,0.05202732,0.0004019263,0.0003268142,0.00005300589,0.0009771921,0.0001046371,0.8496707,0.08772614,0.002492746,0.00383012],"study_design_scores_gemma":[0.005297726,0.0004217891,0.0227775,0.00063409,0.0006306361,0.0003306175,0.004273311,0.03092845,0.5345274,0.359237,0.03851426,0.002427221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2684121,0.01466987,0.1876321,0.001506547,0.0003876505,0.002112619,0.0004837236,0.002445803,0.5223497],"genre_scores_gemma":[0.6340932,0.005822788,0.3572301,0.00005739076,0.0002689734,0.0003566217,0.0002553464,0.0002044514,0.001711115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5206386,"threshold_uncertainty_score":0.9990213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077627736197315,"score_gpt":0.2820566376109268,"score_spread":0.2512803602489537,"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."}}