{"id":"W3171960238","doi":"10.1016/j.molp.2021.06.003","title":"Imaging Mass Cytometry: A promising multiplex detection tool for plant science research","year":2021,"lang":"en","type":"article","venue":"Molecular Plant","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fluidigm (Canada)","funders":"Universiteit Gent; Fonds Wetenschappelijk Onderzoek","keywords":"Multiplex; Autofluorescence; Biology; Immunofluorescence; Computational biology; Fluorophore; Fluorescence; MALDI imaging; Computer science; Pathology; Bioinformatics; Optics; Chemistry; Genetics; Physics; Medicine","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":[0.00121632,0.001448512,0.000827512,0.001627151,0.0005908081,0.001714003,0.001472871,0.001461297,0.003215052],"category_scores_gemma":[0.0008296295,0.0005627617,0.0004682516,0.0009525679,0.0006976022,0.001960785,0.0009619339,0.001639367,0.001941629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145518,"about_ca_system_score_gemma":0.0004774361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003695997,"about_ca_topic_score_gemma":0.0005377828,"domain_scores_codex":[0.9994732,0.0000774624,0.00001780772,0.000183958,0.0001853359,0.00006232927],"domain_scores_gemma":[0.9994642,0.0001939858,0.00009584583,0.00004920526,0.00008848547,0.0001083412],"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":[0.00006750477,0.00002970095,0.0002071515,0.0001017666,0.00001428105,0.00004017941,0.00002067691,0.0001411764,0.9795966,0.003842347,0.0007516706,0.01518701],"study_design_scores_gemma":[0.00001906035,0.0001562608,0.0006936436,0.00002180476,0.0000416569,0.0004878371,0.00002662423,0.007605435,0.9710826,0.003109383,0.01672027,0.00003531675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05318086,0.01311489,0.9215631,0.001851406,0.0005762837,0.0002598965,0.001053705,0.002176577,0.006223262],"genre_scores_gemma":[0.2703157,0.01614812,0.6930128,0.001525971,0.0008586741,0.0007010123,0.001250767,0.0004078595,0.01577908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003215052,"threshold_uncertainty_score":0.01075542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264049450130972,"score_gpt":0.3025677582935682,"score_spread":0.2699272637922585,"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."}}