{"id":"W4392729303","doi":"10.13052/jmm1550-4646.2013","title":"Converging Towards Open Radio Access Networks – A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Journal of Mobile Multimedia","topic":"ICT Impact and Policies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Telecommunications; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005211207,0.0006355927,0.003617781,0.0003521168,0.00004095811,0.0004173905,0.001791277,0.0003114254,0.000304452],"category_scores_gemma":[0.0000619291,0.0004388799,0.001038668,0.0005615972,0.00005515662,0.0004582262,0.000402351,0.001527254,0.0001353778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958613,"about_ca_system_score_gemma":0.0003686321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002191845,"about_ca_topic_score_gemma":0.000001172407,"domain_scores_codex":[0.9973968,0.0001459946,0.001555485,0.0001149028,0.0003377308,0.0004490448],"domain_scores_gemma":[0.9982722,0.000303484,0.0005915949,0.0003580063,0.0001724673,0.0003022779],"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":[0.00000196289,0.00001230176,2.062129e-7,0.06852255,0.0006987619,0.00009028307,0.0002262259,0.0007162132,1.463923e-7,9.156763e-7,0.1350396,0.7946908],"study_design_scores_gemma":[0.0001781545,0.0000491913,0.000001293022,0.1391804,0.002371434,0.0006935907,0.00002670395,0.001275354,6.821882e-7,0.000002128784,0.8558546,0.0003664706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003201963,0.993017,0.0000925343,0.000027504,0.004747173,0.001256228,0.00005032966,0.00007312313,0.0007329696],"genre_scores_gemma":[0.000005513269,0.9972342,0.0001866028,0.0001618631,0.001876462,0.00009819924,0.00003251975,0.0001645376,0.0002401128],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7943244,"threshold_uncertainty_score":0.9998063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07520557084676063,"score_gpt":0.4007119658345362,"score_spread":0.3255063949877756,"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."}}