{"id":"W4200313048","doi":"10.1007/978-1-0716-2030-4_7","title":"Metal-Assisted Laser Desorption Ionization Imaging Mass Spectrometry","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mass spectrometry; Mass spectrometry imaging; Ionization; Metal; Materials science; Laser; Atmospheric-pressure laser ionization; Desorption; Analytical Chemistry (journal); Chemistry; Optics; Physics; Ion; Photoionization; Environmental chemistry; Chromatography; Metallurgy; Adsorption","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":[0.0004885091,0.0009755777,0.0005406829,0.00109428,0.0009102716,0.0009749341,0.001497188,0.001023117,0.008714452],"category_scores_gemma":[0.0007318269,0.0003546801,0.0002531472,0.0007015881,0.0004310173,0.0008854083,0.000634692,0.001171178,0.005616528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005207128,"about_ca_system_score_gemma":0.000653038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007580005,"about_ca_topic_score_gemma":0.001565113,"domain_scores_codex":[0.9991709,0.00006742241,0.00002828835,0.000279852,0.0003723084,0.00008129865],"domain_scores_gemma":[0.9996634,0.00006334146,0.00005713956,0.00005052344,0.0001330814,0.00003258953],"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":[0.00008676566,0.00005123854,0.0003162167,0.0001659753,0.00002128761,0.00007762352,0.00003975036,0.00008413492,0.973816,0.002309256,0.004644014,0.01838772],"study_design_scores_gemma":[0.00001871293,0.0000624016,0.001294559,0.00001465479,0.00001450289,0.0006538906,0.00002881858,0.003921144,0.9611713,0.0007140103,0.03207165,0.00003429891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1638415,0.01062845,0.7229428,0.002631851,0.001283162,0.0007668193,0.00755223,0.01461834,0.07573479],"genre_scores_gemma":[0.4457666,0.007212143,0.4546561,0.00274729,0.0003803482,0.001070615,0.008363865,0.001584196,0.07821888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008714452,"threshold_uncertainty_score":0.02915281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709536458419168,"score_gpt":0.3612235836449898,"score_spread":0.3441282190607981,"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."}}