{"id":"W2060600860","doi":"10.1109/glocom.2012.6503589","title":"Interference Alignment for DSL","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Digital subscriber line; Crosstalk; Computer science; Interference (communication); Electronic engineering; Twisted pair; Computer network; Telecommunications; Engineering; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.00004450221,0.00002918077,0.00002823053,0.00001151649,0.00001233279,0.000004403658,0.00007417177,0.00001040349,0.00009690938],"category_scores_gemma":[0.000003923036,0.00002499757,0.00001399574,0.00001773573,0.000003325669,0.0000528665,0.00001757257,0.00001732375,0.00004804229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001343498,"about_ca_system_score_gemma":0.000001058693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001480775,"about_ca_topic_score_gemma":0.000002105367,"domain_scores_codex":[0.9998295,0.000001853363,0.00004789817,0.00001807631,0.00001383327,0.00008878235],"domain_scores_gemma":[0.9997867,0.00002014409,0.000002671886,0.0001547818,0.000005870265,0.00002985299],"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":[0.00001966598,0.0004603847,0.009078776,0.0001879723,0.0002049707,1.687333e-7,0.003389712,0.001370806,0.05210482,0.3268068,0.4286802,0.1776958],"study_design_scores_gemma":[0.0002211868,0.00002315229,0.002453434,0.00001268735,0.00000986711,0.000001403477,0.0001084173,0.02314278,0.03465919,0.0004969349,0.938686,0.0001849127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08304519,0.002198371,0.6948464,0.0003181376,0.0007747791,0.0002646098,0.00001063934,0.0004895287,0.2180524],"genre_scores_gemma":[0.9906685,0.00003888731,0.008577066,0.00003379324,0.0000345252,0.00003340957,0.000003191599,0.000005485853,0.0006051102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9076234,"threshold_uncertainty_score":0.106109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042343125653047,"score_gpt":0.2618240274068211,"score_spread":0.2314005961502907,"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."}}