{"id":"W1974294304","doi":"10.1002/cyto.a.22106","title":"FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications","year":2012,"lang":"en","type":"letter","venue":"Cytometry Part A","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; BC Cancer Agency","funders":"Terry Fox Research Institute; Terry Fox Foundation; International Society for Advancement of Cytometry; Wallace H. Coulter Foundation","keywords":"Computer science; Flow cytometry; Resource (disambiguation); Peer review; Information retrieval; Data science; Computational biology; World Wide Web; Medicine; Biology; Immunology; Computer network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01240989,0.003368581,0.0042913,0.03087855,0.003847661,0.01108249,0.008171194,0.004284526,0.3171783],"category_scores_gemma":[0.03736965,0.002714588,0.001463008,0.03176025,0.001026031,0.008026727,0.008488714,0.004919933,0.3148388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003670405,"about_ca_system_score_gemma":0.01247343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803989,"about_ca_topic_score_gemma":0.004756274,"domain_scores_codex":[0.9912556,0.001149306,0.002342378,0.001419659,0.003052392,0.0007806202],"domain_scores_gemma":[0.9582532,0.01260036,0.005780056,0.009400262,0.01024285,0.003723221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002528333,0.00004730072,0.0004756869,0.003672232,0.0000481343,0.0001240602,0.0001328139,0.0001777327,0.003661606,0.003239153,0.9673434,0.02082488],"study_design_scores_gemma":[0.0001122373,0.00002465984,0.0015517,0.000706962,0.00004842417,0.0001397017,0.0000750192,0.0002360038,0.001698597,0.003309179,0.9920195,0.00007811961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.000241715,0.0005773208,0.005481839,0.0003878629,0.0004309705,0.0003169729,0.9761068,0.01135152,0.005105015],"genre_scores_gemma":[0.0009133513,0.0007556915,0.01380027,0.0003817127,0.0001870986,0.001185411,0.9763357,0.003464784,0.002975914],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9918288,"threshold_uncertainty_score":0.9739622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821854413470257,"score_gpt":0.2520464578469725,"score_spread":0.2238279137122699,"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."}}