{"id":"W2901061712","doi":"10.25071/10315/35363","title":"Thermal Management of Electrical and Electronic Systems Using PCM","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermal management of electronic devices and systems; Thermal; Computer science; Mechanical engineering; Engineering; Physics; Thermodynamics","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":[0.0001420286,0.0002222828,0.0001997409,0.0001597875,0.0002599724,0.0002905575,0.0003178738,0.000160143,0.001788137],"category_scores_gemma":[0.0003445462,0.00007721212,0.0001151834,0.0002239609,0.0001650462,0.0004485304,0.0002117729,0.0001521942,0.000231608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696916,"about_ca_system_score_gemma":0.0001274225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003780433,"about_ca_topic_score_gemma":0.000385745,"domain_scores_codex":[0.9998091,0.00003643299,0.000008493732,0.00003134475,0.00008293775,0.00003172515],"domain_scores_gemma":[0.9998865,0.00003003795,0.00001504169,0.00002727928,0.00003306779,0.00000817666],"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":[0.0004088938,0.0001194966,0.002082101,0.0002573584,0.000014811,0.0001922442,0.0001377094,0.01134979,0.9342584,0.000635444,0.0004037295,0.05014014],"study_design_scores_gemma":[0.00003278215,0.0009884167,0.007878487,0.00001383115,0.00002609964,0.0002311911,0.0001139298,0.05599457,0.9299821,0.0003300363,0.004395935,0.00001258779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604134,0.0004084382,0.03430394,0.00004928634,0.0000363123,0.00005628157,0.00007134565,0.0004400895,0.004220943],"genre_scores_gemma":[0.9960737,0.00007585956,0.002826282,0.000007012715,0.00000548212,0.00001328054,0.00002789286,0.00001188971,0.0009585652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001788137,"threshold_uncertainty_score":0.005981922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079447164603421,"score_gpt":0.2502130651645975,"score_spread":0.2394185935185633,"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."}}