{"id":"W4246843182","doi":"10.1002/cyto.a.23289","title":"Issue Information – Editorial board & 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; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007178193,0.0023603,0.002909725,0.007755724,0.003541874,0.01936392,0.003325445,0.004483615,0.8390179],"category_scores_gemma":[0.0252352,0.00175689,0.001712929,0.005243048,0.001348473,0.00566922,0.002830242,0.004095985,0.8429801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002851478,"about_ca_system_score_gemma":0.008060486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019808,"about_ca_topic_score_gemma":0.004347318,"domain_scores_codex":[0.9949207,0.0004431065,0.0004658945,0.000535887,0.003093648,0.0005408378],"domain_scores_gemma":[0.9683814,0.004328243,0.001464724,0.002977281,0.01343081,0.009417546],"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":[0.00002606619,0.00005528247,0.00003002968,0.00008420023,0.000002368452,0.00001245177,0.00000427673,0.00002981193,0.0001419776,0.0005371385,0.9839165,0.01515995],"study_design_scores_gemma":[0.0000449316,0.00003327139,0.0002143154,0.0000779642,0.000004047679,0.00002096938,0.00002157765,0.0001630825,0.000370874,0.001241562,0.997793,0.00001448134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008185398,0.00229073,0.003845243,0.0142776,0.2499504,0.00180548,0.02299711,0.008668145,0.6953467],"genre_scores_gemma":[0.0009869041,0.0007427028,0.001163454,0.001461662,0.01856867,0.0002376106,0.005702749,0.002002059,0.9691343],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8390179,"threshold_uncertainty_score":0.2296214,"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."}}