{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002320221,0.001078991,0.001291315,0.002264898,0.002330701,0.009276226,0.003074846,0.006392532,0.8359181],"category_scores_gemma":[0.01637086,0.0004178562,0.001206818,0.002237618,0.0007980779,0.005176682,0.002975569,0.003565584,0.7930759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026796,"about_ca_system_score_gemma":0.003448037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064895,"about_ca_topic_score_gemma":0.001501919,"domain_scores_codex":[0.9973959,0.0003215355,0.0001939099,0.000503599,0.00132903,0.0002560263],"domain_scores_gemma":[0.9906381,0.001150382,0.0003470627,0.001225827,0.003917375,0.002721196],"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":[0.00001619844,0.00001969794,0.00004235491,0.0001032352,0.000002178065,0.00004382185,0.00000839918,0.00001900631,0.00005369289,0.001596311,0.9651393,0.03295586],"study_design_scores_gemma":[0.000005687218,0.000005569101,0.00006632593,0.00005854282,0.000001131834,0.00003360956,0.00001949209,0.00001484108,0.00002299164,0.0006506808,0.9991185,0.000002606616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003313897,0.002884538,0.00188455,0.03351028,0.1230627,0.0007889454,0.00557954,0.001313467,0.8306445],"genre_scores_gemma":[0.001504443,0.001612001,0.0006857112,0.01099896,0.01218581,0.0002740315,0.002470719,0.0005882754,0.9696801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1640819,"threshold_uncertainty_score":0.2340429,"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."}}