{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008196619,0.0001485285,0.0001371798,0.0001584933,0.0003663294,0.0001647736,0.0002428617,0.0000920181,0.000002936727],"category_scores_gemma":[0.0004444798,0.0001516363,0.00009663917,0.0003954479,0.0001697313,0.000008672242,0.00009490471,0.0001628116,0.000003836537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005832087,"about_ca_system_score_gemma":0.0003049789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000383142,"about_ca_topic_score_gemma":0.00003131893,"domain_scores_codex":[0.9981823,0.00008639993,0.0001975647,0.000613358,0.0003768035,0.000543572],"domain_scores_gemma":[0.9991397,0.00003184477,0.00004094315,0.0003666879,0.0003202911,0.0001004849],"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":[0.0001437149,0.00005389823,0.0006129743,0.00003919194,0.00002027844,0.00008364189,0.00003516093,0.00003994011,0.9955877,0.00005429904,0.00008642433,0.003242795],"study_design_scores_gemma":[0.0006839227,0.0001062245,0.0003816836,0.0000334339,0.00001202492,0.0001154025,0.00005259494,0.005419819,0.9842667,0.0001052273,0.008612688,0.0002102971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395849,0.0003861666,0.1588889,0.0001186072,0.0003330839,0.0003515546,0.000121332,0.00002186204,0.0001936133],"genre_scores_gemma":[0.9937739,0.00003210291,0.005422113,0.0001617519,0.0001643055,0.00005110858,0.000273091,0.00003118956,0.00009037658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541891,"threshold_uncertainty_score":0.6183548,"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."}}