{"id":"W4367281187","doi":"10.1109/mnet.2023.10110032","title":"Call for Papers","year":2023,"lang":"en","type":"paratext","venue":"IEEE Network","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer network; Telecommunications","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007394907,0.0002626366,0.0002773442,0.00005301832,0.00004866288,0.00007254349,0.000221495,0.0005336399,0.0001715618],"category_scores_gemma":[0.000004218564,0.0002886606,0.0001475348,0.0002224121,0.00002199124,0.00007849093,0.000006939045,0.0003811831,0.01196656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007926951,"about_ca_system_score_gemma":0.00002909107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002316752,"about_ca_topic_score_gemma":0.000008571572,"domain_scores_codex":[0.9989278,0.000005761981,0.0003037576,0.000162164,0.0001409147,0.0004595535],"domain_scores_gemma":[0.9994788,0.0001601669,0.0000322802,0.0002173731,0.00002699741,0.0000843813],"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":[0.000002403247,0.000001046483,1.261263e-7,0.0001746113,0.00005081592,6.346626e-7,0.00001229626,0.4131303,0.000001737257,0.00001323515,0.585628,0.0009848352],"study_design_scores_gemma":[0.0001363282,0.00001329057,0.000002478101,0.0002362608,0.00001834952,0.000001294567,0.000006382111,0.001199115,0.00003953621,0.0001027323,0.9979349,0.0003093793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001595507,0.0003743257,0.001509429,0.0000234543,0.07233676,0.0003826028,0.0004176079,0.000555158,0.9243847],"genre_scores_gemma":[0.002368389,0.0008989364,0.0002477053,0.0002372367,0.04093889,0.0007859159,0.001566139,0.0005161192,0.9524407],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4123069,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552299717597026,"score_gpt":0.2460512374667944,"score_spread":0.2205282402908241,"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."}}