{"id":"W4220946767","doi":"10.1109/mm.2022.3151214","title":"Special Issue on Hot Interconnects","year":2022,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer architecture; Data science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002643368,0.0001095522,0.0001361018,0.0001083508,0.0002761272,0.0001234944,0.0007433014,0.00002827259,0.001070551],"category_scores_gemma":[0.000006936416,0.0001083963,0.00008721658,0.0002407369,0.00001413517,0.0001142355,0.0001762587,0.0002335336,0.0006416657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179172,"about_ca_system_score_gemma":0.00002576811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003561265,"about_ca_topic_score_gemma":0.00001771605,"domain_scores_codex":[0.9989117,0.0001335284,0.0001869316,0.0003330886,0.000198382,0.0002363752],"domain_scores_gemma":[0.9993905,0.00006262607,0.00006507231,0.0004013627,0.00002919023,0.00005122198],"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":[0.00002403188,0.00006835004,0.00001351595,0.000003886207,0.0000142261,0.00005861244,0.001527937,0.000864487,0.004481513,0.007174086,0.9698739,0.01589547],"study_design_scores_gemma":[0.0002223837,0.0002582827,0.00002396196,0.00001005714,0.000001322729,0.00009341623,0.0001205434,0.003028853,0.008990541,0.0002075352,0.98689,0.0001531545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2857438,0.0001975519,0.09253562,0.006408239,0.1963663,0.001022244,0.00003778394,0.0009050777,0.4167834],"genre_scores_gemma":[0.9539333,0.000002994987,0.0005885113,0.004365067,0.02235193,0.0000517331,0.000002558285,0.00001924379,0.01868469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6681895,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571338613231099,"score_gpt":0.2328632775243946,"score_spread":0.2171498913920836,"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."}}