{"id":"W1590409685","doi":"10.1002/0471142956.cy1018s61","title":"Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) Compliant Manuscript Using the International Society for Advancement of Cytometry (ISAC) FCS File Repository (FlowRepository.org)","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Cancer Agency","funders":"Terry Fox Research Institute; Terry Fox Foundation; Michael Smith Health Research BC; International Society for Advancement of Cytometry; Wallace H. Coulter Foundation","keywords":"Flow cytometry; Computer science; Cytometry; Data sharing; Annotation; World Wide Web; Information retrieval; Biology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006736289,0.0003499417,0.0003535909,0.00025061,0.0002187755,0.0001002305,0.0006387372,0.0001923025,0.00002779332],"category_scores_gemma":[0.0001442321,0.0003074823,0.0004194561,0.0004346862,0.0001437569,0.0001134536,0.0003020299,0.000248032,0.00000269937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376621,"about_ca_system_score_gemma":0.0001726769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001380483,"about_ca_topic_score_gemma":0.000001581737,"domain_scores_codex":[0.9974486,0.00006606326,0.001000102,0.0003945886,0.0005351789,0.0005554681],"domain_scores_gemma":[0.9984531,0.00007315951,0.0005040599,0.000591056,0.0002484037,0.0001302348],"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":[0.000822581,0.001307972,0.07298922,0.0009703461,0.0002414919,6.994007e-7,0.001458113,0.0005002468,0.9053808,0.00002764509,0.006173509,0.0101273],"study_design_scores_gemma":[0.003254626,0.0003527722,0.007560588,0.0007702773,0.00006284557,0.00003255659,0.0009385982,0.01657148,0.7510895,0.000007006192,0.2187219,0.0006378837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630731,0.003651032,0.184156,0.0000461306,0.004824905,0.0427081,0.0006786837,0.00007512044,0.000786917],"genre_scores_gemma":[0.9520251,0.00007521343,0.01611506,0.000157107,0.001156419,0.02973925,0.0005811094,0.00005433674,0.00009645616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125484,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305698441978573,"score_gpt":0.3455540268343657,"score_spread":0.29249704241458,"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."}}