{"id":"W3084016844","doi":"10.1002/cbic.202000369","title":"An Iodinated DAPI‐Based Reagent for Mass Cytometry","year":2020,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Fluidigm (Canada); University of Toronto","funders":"University of Toronto","keywords":"DAPI; Mass cytometry; Reagent; Chemistry; Iodinated contrast media; Chromatography; Biochemistry; Organic chemistry; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001136291,0.001588901,0.000500031,0.002941662,0.0006751611,0.0008187371,0.001462378,0.001195758,0.01955793],"category_scores_gemma":[0.0008940742,0.0008458444,0.0003891538,0.001257367,0.0007252766,0.001006348,0.0009758887,0.00168604,0.01408489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187485,"about_ca_system_score_gemma":0.0006885792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005528637,"about_ca_topic_score_gemma":0.001828389,"domain_scores_codex":[0.9990013,0.000234737,0.00007987498,0.0003167216,0.0002722664,0.00009505174],"domain_scores_gemma":[0.9995822,0.0001425821,0.00006425708,0.00008262166,0.00007987281,0.00004855752],"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":[0.0001147345,0.00005582543,0.0002184468,0.0007728609,0.0000325448,0.00016691,0.00008064423,0.0002065875,0.9465449,0.004788587,0.006946994,0.04007095],"study_design_scores_gemma":[0.00007076095,0.000203995,0.001346903,0.0001223175,0.00006209878,0.001671325,0.00004750964,0.003026813,0.8311909,0.001754794,0.1604409,0.00006168096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03239509,0.01724596,0.8890703,0.0009544353,0.00100373,0.001113234,0.003372085,0.008453399,0.04639183],"genre_scores_gemma":[0.1919666,0.02302945,0.6795408,0.001637974,0.0003454743,0.00368828,0.01397994,0.001425508,0.08438593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01955793,"threshold_uncertainty_score":0.06542778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433482926750462,"score_gpt":0.2676329156304958,"score_spread":0.2332980863629912,"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."}}