{"id":"W4225161347","doi":"10.1145/3530815","title":"Heterogeneous Network Access and Fusion in Smart Factory: A Survey","year":2022,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Heterogeneous network; Quality of service; Factory (object-oriented programming); Computer network; Wireless network; Telecommunications; Wireless","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","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.013297,0.0008354231,0.002225735,0.0005056462,0.0006734391,0.0009186437,0.005597258,0.0003352765,0.00001732466],"category_scores_gemma":[0.0009657498,0.0008181351,0.0003280689,0.002466123,0.00006520037,0.0002978867,0.01433806,0.0013057,0.0000244361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734549,"about_ca_system_score_gemma":0.0004160469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335252,"about_ca_topic_score_gemma":0.0002530467,"domain_scores_codex":[0.9861238,0.009102439,0.001259956,0.001683937,0.0005756135,0.001254268],"domain_scores_gemma":[0.9901665,0.006839592,0.0007690212,0.00194287,0.00007115515,0.0002108028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001143701,0.00003860806,0.009707583,0.001031971,0.0000495321,0.0001029542,0.0001158729,0.0002308804,9.132942e-9,0.00001000453,0.001354823,0.9873566],"study_design_scores_gemma":[0.0003672183,0.0001210246,0.03173514,0.003941521,0.00005396627,0.0002467837,0.000001292678,0.01585329,1.412654e-7,0.0004276637,0.9454964,0.001755488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001036805,0.9625286,0.01913763,0.00001572994,0.01593322,0.0007671968,0.000005043162,0.0003863847,0.000189423],"genre_scores_gemma":[0.001580111,0.9934888,0.002548526,0.0001197361,0.001803111,0.00002300279,0.0002699423,0.0001283943,0.00003840973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9856011,"threshold_uncertainty_score":0.9997829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713181553265604,"score_gpt":0.362840517313567,"score_spread":0.1915223619870067,"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."}}