{"id":"W1737443120","doi":"10.82308/34222","title":"Physical layer loading algorithms for indoor wireless multicarrier systems","year":2004,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Subcarrier; Computer science; Multipath propagation; Physical layer; Orthogonal frequency-division multiplexing; Wireless; Computer network; Fading; Electronic engineering; Wireless network; Channel (broadcasting); Telecommunications; Engineering","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":[0.0003704778,0.0005281598,0.0006010081,0.0002173736,0.0006074026,0.00008318838,0.000806206,0.0003066933,0.000007255934],"category_scores_gemma":[0.0001804958,0.0005760363,0.0002424946,0.0004370585,0.00009894305,0.0009262466,0.0001940136,0.0008436394,0.00009285982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009638376,"about_ca_system_score_gemma":0.00001589586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006379476,"about_ca_topic_score_gemma":0.00002527727,"domain_scores_codex":[0.9975988,0.00008758036,0.0006069422,0.000552595,0.0004034807,0.0007506169],"domain_scores_gemma":[0.9979443,0.0003075792,0.0001426732,0.001058627,0.0002453935,0.0003014267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004172599,0.0002450921,0.00001490877,0.0003687266,0.0002244436,0.00001924602,0.00002874675,0.03388553,0.5127288,0.3156507,0.000005842134,0.1367863],"study_design_scores_gemma":[0.001933969,0.0001217736,0.00003789136,0.00036715,0.00007313773,0.00003314897,0.0001370965,0.02686285,0.9168746,0.02117369,0.03120207,0.001182644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837049,0.0003181535,0.003831444,0.00002646866,0.0006581035,0.001609703,0.0007536628,0.003431483,0.005666056],"genre_scores_gemma":[0.9788592,0.0001123689,0.01962811,0.00006597523,0.00008888484,0.0008254045,0.00004701384,0.0002640237,0.0001089625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041458,"threshold_uncertainty_score":0.9996691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544896111411158,"score_gpt":0.265926189514939,"score_spread":0.2404772284008274,"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."}}