{"id":"W4231519678","doi":"10.1002/cyto.a.23309","title":"Issue Information – Editorial board &amp; PubSchedule","year":2017,"lang":"en","type":"paratext","venue":"Cytometry Part A","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Editorial board; Citation; Computer science; Information retrieval; Library science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.008225769,0.0005441685,0.001150734,0.00164882,0.0008397957,0.01390793,0.009296206,0.002167037,0.02271374],"category_scores_gemma":[0.03268191,0.0004222456,0.0003661404,0.001474201,0.0002660899,0.01093477,0.001525996,0.002327633,0.451362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183027,"about_ca_system_score_gemma":0.0008205954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807098,"about_ca_topic_score_gemma":0.00001584587,"domain_scores_codex":[0.9910107,0.0003039007,0.001704991,0.0008868534,0.005324341,0.0007692414],"domain_scores_gemma":[0.9916747,0.001170211,0.002435513,0.002805065,0.001429296,0.0004852274],"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":[0.00003833045,0.00001647208,0.0002816168,0.0000208245,0.00003700405,7.661682e-7,0.0001991991,0.00001978109,0.000002633543,0.00001904972,0.9865107,0.01285364],"study_design_scores_gemma":[0.0004087336,0.00002258572,0.0001668505,0.00008795434,0.0000258186,0.000004095772,0.0001212923,0.00002152246,0.0000483987,0.000489839,0.9980742,0.0005287405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000518378,0.0005327797,0.001583634,0.001325084,0.4781104,0.000343686,0.0006105414,0.00006658916,0.5169089],"genre_scores_gemma":[0.002267631,0.0001914257,0.0003140861,0.0007650122,0.2420314,0.00007632298,0.00117673,0.00003927348,0.7531381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4286482,"threshold_uncertainty_score":0.999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849890997506976,"score_gpt":0.4230532463475748,"score_spread":0.3380641465968772,"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."}}