{"id":"W4319781558","doi":"10.11159/jffhmt.2023.001","title":"Phase Change Materials for Better Thermal Performance of Central Processing Units (CPUs)","year":2023,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Phase (matter); Thermal; Parallel computing; Chemistry; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385123,0.0001237611,0.000257736,0.0001333199,0.00004819954,0.00002634732,0.00006234181,0.00007609354,0.00002680969],"category_scores_gemma":[0.000003583403,0.0001016978,0.00005062455,0.0001809879,0.00002135625,0.0003723095,0.00000169832,0.00007940819,6.494178e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664789,"about_ca_system_score_gemma":0.00002768751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000113509,"about_ca_topic_score_gemma":7.612497e-7,"domain_scores_codex":[0.9991466,0.00001471524,0.0003669194,0.0000652597,0.000156986,0.0002495221],"domain_scores_gemma":[0.9997084,0.000015544,0.00000577433,0.00004561721,0.0001415893,0.00008303498],"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":[0.0003305482,0.00003951829,0.0002305134,0.001224259,0.00005717169,0.000006662242,0.002209444,0.009035723,0.958588,0.000007313768,0.0001361977,0.02813467],"study_design_scores_gemma":[0.004611847,0.0006876445,0.002098367,0.0004384795,0.0001291783,0.00002051044,0.00006497473,0.2536002,0.7371135,0.00000841165,0.001006113,0.0002207819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591877,0.0004553597,0.03952438,0.0001555073,0.0003586794,0.000194041,0.00005804703,0.00003580779,0.00003044178],"genre_scores_gemma":[0.9978636,0.001181674,0.0004929997,0.00004732586,0.0003542984,0.00001126765,0.00001377713,0.00003065714,0.000004414241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2445645,"threshold_uncertainty_score":0.4147117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674805363913,"score_gpt":0.2388018262944401,"score_spread":0.2120537726553101,"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."}}