{"id":"W4229636704","doi":"10.1109/surv.2014.042914.00000","title":"Editorial: Second Quarter 2014, IEEE Communications Surveys & Tutorials","year":2014,"lang":"en","type":"editorial","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Quarter (Canadian coin); Telecommunications; IEEE 802.11u; Computer network; IEEE 802.11; Wireless; Wireless lan","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":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0222393,0.002001504,0.00327647,0.0009594243,0.001431114,0.0009029115,0.01592492,0.005105447,0.0003414073],"category_scores_gemma":[0.00946725,0.002213007,0.0007281189,0.0012137,0.001746789,0.001373689,0.001913039,0.005452548,0.004882426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114294,"about_ca_system_score_gemma":0.000821208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025881,"about_ca_topic_score_gemma":0.01305834,"domain_scores_codex":[0.978856,0.01215949,0.003743739,0.001494257,0.002031056,0.001715487],"domain_scores_gemma":[0.9434828,0.02328445,0.001468044,0.0287839,0.002526343,0.000454444],"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":[0.00001337765,0.0002222524,0.00001767136,0.0002181576,0.0005381359,5.90505e-7,0.0002230359,0.0002223258,0.003563277,0.0002148865,0.9929448,0.001821461],"study_design_scores_gemma":[0.001147259,0.00006850807,0.00002911933,0.0002589161,0.0002879113,0.000002643674,0.00004250825,0.00006131137,0.0003933329,0.001638543,0.9938673,0.002202626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005103059,0.004133803,0.03408569,0.0002129876,0.9413256,0.00155238,0.01135639,0.003948187,0.003333932],"genre_scores_gemma":[0.001286926,0.02029929,0.01153457,0.00002258991,0.9370449,0.001427037,0.02518049,0.0006523589,0.002551874],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03537315,"threshold_uncertainty_score":0.9998689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279540479117327,"score_gpt":0.3182279542389591,"score_spread":0.2754325494477858,"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."}}