{"id":"W3105010413","doi":"10.1049/iet-com.2019.0944","title":"Cross‐layer resource allocation for critical MTC coexistent with human‐type communications in LTE: a two‐sided matching approach","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Matching (statistics); Layer (electronics); Resource allocation; Telecommunications; Computer network; Statistics; Mathematics","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":[0.001611265,0.0007547009,0.0007607525,0.0004465177,0.0003355379,0.001035711,0.0007180223,0.0008724145,0.001893624],"category_scores_gemma":[0.002019502,0.0003794558,0.0004993418,0.0006028787,0.0006998889,0.0007953027,0.001085879,0.0006578699,0.0002293706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014518,"about_ca_system_score_gemma":0.001239887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071187,"about_ca_topic_score_gemma":0.001137795,"domain_scores_codex":[0.9994266,0.0002285069,0.00002175585,0.00007654366,0.0001228263,0.0001237317],"domain_scores_gemma":[0.9993031,0.0003939942,0.000107512,0.00003676191,0.0001015756,0.00005698908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001028794,0.0000897818,0.00024557,0.00005071661,0.0000464027,0.00006059872,0.00004200097,0.9561929,0.005454385,0.01483073,0.0005408858,0.02234321],"study_design_scores_gemma":[0.000005449379,0.00003381147,0.00004926816,0.000001806555,0.00000512862,0.00000885092,0.000006349927,0.9974985,0.0004725558,0.001768537,0.0001468888,0.000002837051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03966006,0.0004529074,0.9558448,0.0001959049,0.00006117592,0.00005113253,0.0000185689,0.00006858687,0.003646787],"genre_scores_gemma":[0.9044235,0.0004515532,0.09102626,0.000175219,0.0000941496,0.00007072944,0.00003353692,0.00004006019,0.003684997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002071187,"threshold_uncertainty_score":0.008521259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09895518543852387,"score_gpt":0.3618807525046838,"score_spread":0.2629255670661599,"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."}}