{"id":"W4313446325","doi":"10.1007/978-1-0716-2914-7_1","title":"Imaging Mass Cytometry in Immuno-Oncology","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Multiplex; Mass cytometry; Workflow; Flow cytometry; Pathology; Cytometry; Computational biology; Medicine; Computer science; Biology; Bioinformatics; Immunology; Phenotype","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":[0.001424651,0.0007653937,0.0007976016,0.001218807,0.0006338901,0.001426132,0.001756565,0.001700693,0.004073562],"category_scores_gemma":[0.001009064,0.0008030522,0.0003963422,0.0008928733,0.001294217,0.001711046,0.001175198,0.002340706,0.002906989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358029,"about_ca_system_score_gemma":0.0006627423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006323734,"about_ca_topic_score_gemma":0.00071217,"domain_scores_codex":[0.9993984,0.0001900192,0.00002286414,0.0001263483,0.0001969762,0.00006545355],"domain_scores_gemma":[0.9994791,0.0002257265,0.00007004596,0.00009113986,0.00009371692,0.00004026277],"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":[0.00009129287,0.0001066746,0.0006485892,0.0007671603,0.00002820041,0.0001377226,0.0001653829,0.001722877,0.7597866,0.1255717,0.006546378,0.1044275],"study_design_scores_gemma":[0.00003530247,0.0001829765,0.001897435,0.0002127362,0.00004195761,0.001406239,0.000107283,0.04120808,0.7786455,0.05099679,0.1251866,0.00007923182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0273692,0.0417826,0.9100465,0.003384016,0.0008146015,0.0002089766,0.00037169,0.00173262,0.01428984],"genre_scores_gemma":[0.3064787,0.0365913,0.6197283,0.002286468,0.0009664425,0.001050992,0.0007318832,0.0004820505,0.03168383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004073562,"threshold_uncertainty_score":0.01362741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237785230639043,"score_gpt":0.3925548408378162,"score_spread":0.3687763177739118,"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."}}