{"id":"W6969253186","doi":"10.5683/sp3/waduhe","title":"Polymeric dipicolylamine based mass tags for mass cytometry","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada); University of Toronto","funders":"","keywords":"Mass cytometry; Rhenium; Polymer; Click chemistry; Reagent; Mass spectrometry; Inductively coupled plasma mass spectrometry; Mass spectrum","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":[0.0008344273,0.001113508,0.0008177801,0.002964575,0.0003324334,0.001011705,0.001331626,0.000567299,0.01364515],"category_scores_gemma":[0.002087617,0.0002709303,0.0006644457,0.005382132,0.0001935755,0.0006583808,0.0009907547,0.0009031508,0.01319909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006509272,"about_ca_system_score_gemma":0.0008353804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003666914,"about_ca_topic_score_gemma":0.006731174,"domain_scores_codex":[0.9991776,0.000124165,0.000107254,0.0003280091,0.0001958759,0.00006710328],"domain_scores_gemma":[0.9994653,0.0001900015,0.00007575844,0.0001253433,0.00009981506,0.00004376829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001575161,0.0002373079,0.02627102,0.0159489,0.0009474489,0.0002890255,0.0003078279,0.009357944,0.1196584,0.005556011,0.6599212,0.1599297],"study_design_scores_gemma":[0.0002669825,0.0001447463,0.02298868,0.00024823,0.0001734623,0.0001973128,0.0001023024,0.003355765,0.03002284,0.002211747,0.9402488,0.00003903812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01063895,0.001836935,0.006680971,0.0001657082,0.00006995674,0.0001870396,0.9724406,0.003198092,0.00478182],"genre_scores_gemma":[0.01262673,0.0009282164,0.01252092,0.0001218132,0.00001357838,0.0006564531,0.9711039,0.0002841091,0.001744415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01364515,"threshold_uncertainty_score":0.04564756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167973661667344,"score_gpt":0.2408122778349136,"score_spread":0.2191325412182402,"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."}}