{"id":"W2140794952","doi":"10.1186/1756-0500-4-50","title":"Flow cytometry data standards","year":2011,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute; BC Cancer Agency","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Hospital for Sick Children; Burroughs Wellcome Fund; Michael Smith Health Research BC; Canadian Child Health Clinician Scientist Program; Children's Health Research Institute","keywords":"Computer science; Context (archaeology); Raw data; Metadata; Flow cytometry; Data publishing; Mass cytometry; Data mining; Information retrieval; World Wide Web; Publishing; Medicine; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05443639,0.002459249,0.002746355,0.01377134,0.003844106,0.01372677,0.009682613,0.006437084,0.08138013],"category_scores_gemma":[0.1310423,0.001761828,0.002012268,0.0133054,0.003000927,0.00946907,0.007896474,0.007942742,0.1170372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007077135,"about_ca_system_score_gemma":0.01725895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003541085,"about_ca_topic_score_gemma":0.001799666,"domain_scores_codex":[0.9453993,0.01382641,0.01645739,0.005683923,0.0164711,0.002161944],"domain_scores_gemma":[0.8396706,0.04553428,0.01006445,0.03747692,0.0640656,0.003188224],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000897547,0.0003351057,0.003503104,0.004724849,0.0001055824,0.0003766511,0.001096423,0.002176901,0.01268142,0.09078704,0.6659279,0.2173875],"study_design_scores_gemma":[0.00008005644,0.00006033567,0.0007762038,0.0009365556,0.00003108742,0.0001986693,0.0001338842,0.001209634,0.006718234,0.01809534,0.9716837,0.00007630337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00375426,0.003649468,0.5041667,0.01159952,0.004334544,0.008405522,0.269004,0.08575486,0.109331],"genre_scores_gemma":[0.01740007,0.004149901,0.3805124,0.00875687,0.001199769,0.02145129,0.5143142,0.0165371,0.03567846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9455636,"threshold_uncertainty_score":0.2878907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4448851930978471,"score_gpt":0.4352822094995189,"score_spread":0.00960298359832823,"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."}}