{"id":"W4247019444","doi":"10.1002/cyto.a.23695","title":"Issue Information – Publication schedule","year":2018,"lang":"en","type":"paratext","venue":"Cytometry Part A","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Schedule; Information retrieval; Library science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007338021,0.0002844673,0.0006387147,0.001148367,0.0002380306,0.0005326093,0.0005114619,0.0003495585,0.2917084],"category_scores_gemma":[0.0002866419,0.0003412002,0.0001797774,0.0007591743,0.000179942,0.001226787,0.0002382115,0.0002144224,0.9453468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309697,"about_ca_system_score_gemma":0.00004895577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003728144,"about_ca_topic_score_gemma":0.000001159272,"domain_scores_codex":[0.9979929,0.000009565189,0.0009592225,0.0005476197,0.0000612453,0.0004294436],"domain_scores_gemma":[0.9980496,0.00002736634,0.0009416271,0.0006817976,0.0001777048,0.0001219473],"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":[0.000004852171,0.00002529595,0.0001426731,0.00006392633,0.0001006738,9.890289e-8,0.0002153825,0.000003216486,2.12899e-7,0.004137921,0.9949425,0.0003632082],"study_design_scores_gemma":[0.0002660789,0.00002868545,0.00009734576,0.00002500999,0.000008631994,0.00000102668,0.000147498,0.000135476,0.00002579462,0.0001990297,0.9986843,0.0003810831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001501501,0.001790126,0.0006072497,0.0003747605,0.02921721,0.0002711443,0.003550549,0.00005176737,0.9639871],"genre_scores_gemma":[0.001173202,0.0005936251,0.0003003722,0.00084141,0.001684152,0.00008108214,0.001701857,0.00002577969,0.9935985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6536384,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901769625446093,"score_gpt":0.2410413200141962,"score_spread":0.2020236237597353,"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."}}