{"id":"W4248996116","doi":"10.1017/9781108989817.032","title":"Integrated Super-Sidelink and Access Link Communication","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Link (geometry); Computer science; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.0005172781,0.000809376,0.0005712822,0.001188523,0.0007135471,0.001957843,0.001684091,0.001626846,0.1015553],"category_scores_gemma":[0.0008593541,0.0004450862,0.0004183843,0.00182492,0.0005822898,0.003162502,0.002209962,0.001806618,0.04076071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622873,"about_ca_system_score_gemma":0.0007967307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009739269,"about_ca_topic_score_gemma":0.001843019,"domain_scores_codex":[0.9994221,0.00005717558,0.00001274473,0.00008439203,0.0003329815,0.000090612],"domain_scores_gemma":[0.9992229,0.0002019359,0.00003202241,0.0002094082,0.0002699291,0.0000638464],"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":[0.0002168676,0.0001040289,0.0002868511,0.0004999636,0.00002812998,0.0002943445,0.0002845619,0.006456084,0.03687605,0.1016229,0.09783202,0.7554982],"study_design_scores_gemma":[0.00003334787,0.0002693752,0.0006075466,0.0002886138,0.00005576139,0.001672876,0.0001652176,0.06025324,0.05023455,0.04944193,0.836891,0.00008654302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007354131,0.005324855,0.4997122,0.000984459,0.001315646,0.0001805747,0.0006629325,0.006015749,0.4784495],"genre_scores_gemma":[0.1276636,0.00535896,0.1170293,0.0009724644,0.0008286512,0.0002740367,0.001124994,0.0009386666,0.7458094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1015553,"threshold_uncertainty_score":0.3397365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06411227795971977,"score_gpt":0.2510649954418441,"score_spread":0.1869527174821243,"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."}}