{"id":"W2470329500","doi":"10.1002/cyto.b.21393","title":"Use FlowRepository to share your clinical data upon study publication","year":2016,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data sharing; Computer science; Publishing; Data publishing; Data science; Open data; Data quality; World Wide Web; Medicine; Political science; Business; Pathology","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01397904,0.00140026,0.002518459,0.0110775,0.002211262,0.009268123,0.003754128,0.005315948,0.6385567],"category_scores_gemma":[0.08447374,0.001289725,0.001508215,0.007245275,0.001580845,0.006857147,0.006348886,0.005460352,0.4885566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002985946,"about_ca_system_score_gemma":0.006987352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338411,"about_ca_topic_score_gemma":0.001389577,"domain_scores_codex":[0.9912066,0.001889447,0.001797317,0.001263853,0.002814849,0.001027951],"domain_scores_gemma":[0.9337376,0.01697597,0.006068186,0.02457604,0.01187514,0.006767097],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005831575,0.0001385183,0.00103949,0.0004302432,0.00003855849,0.0001742815,0.00009043743,0.00007687266,0.001567379,0.002875511,0.9144837,0.07850181],"study_design_scores_gemma":[0.0004070482,0.000121047,0.002294991,0.0004032547,0.00002830248,0.0003703902,0.00006467668,0.000567489,0.003866777,0.005909077,0.9858736,0.00009330875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00712517,0.003588726,0.04954912,0.06535515,0.02398675,0.01457396,0.352405,0.1222066,0.3612096],"genre_scores_gemma":[0.06813973,0.006315483,0.08990106,0.06392237,0.01637139,0.03815081,0.2936984,0.04165689,0.3818438],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9962459,"threshold_uncertainty_score":0.515555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2957658866390204,"score_gpt":0.4364505748038122,"score_spread":0.1406846881647918,"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."}}