{"id":"W1978037786","doi":"10.1145/1391469.1391632","title":"Keeping hot chips cool","year":2008,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Worry; Computer science; Risk analysis (engineering); Power (physics); Computer security; Business; Psychology","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":[0.002691426,0.000737618,0.00055598,0.0005750224,0.002939643,0.006024353,0.001258234,0.002980456,0.03160831],"category_scores_gemma":[0.006657595,0.0005265782,0.0005400533,0.0005936453,0.002738749,0.008660325,0.002782745,0.005188241,0.02109012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076749,"about_ca_system_score_gemma":0.001412314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009499377,"about_ca_topic_score_gemma":0.002201522,"domain_scores_codex":[0.9981796,0.000333171,0.00007561229,0.0003197087,0.0008075709,0.0002844688],"domain_scores_gemma":[0.996776,0.0007484965,0.0002370606,0.0007025722,0.001130333,0.0004054049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001414689,0.00008595298,0.00124857,0.0008526075,0.00007863245,0.0002942274,0.004222652,0.0008708979,0.03522279,0.1211872,0.4380038,0.3977912],"study_design_scores_gemma":[0.00000880466,0.00007150827,0.0007410733,0.000141069,0.00002653113,0.0002689532,0.001111933,0.0001876558,0.005422742,0.01871471,0.9732735,0.00003155468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03602276,0.1045238,0.1054273,0.2651673,0.0756712,0.0001793487,0.0003819331,0.004656884,0.4079695],"genre_scores_gemma":[0.1659516,0.04824496,0.05254321,0.1108348,0.0148245,0.0001993114,0.0004114539,0.002849744,0.6041404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03160831,"threshold_uncertainty_score":0.1057404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932341795813834,"score_gpt":0.1827839683728635,"score_spread":0.1634605504147251,"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."}}