{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887937,0.0001479556,0.0001943869,0.0003645875,0.00002526952,0.00002140573,0.0002417426,0.0001268669,0.000009166495],"category_scores_gemma":[0.00001612427,0.0001620846,0.00001905923,0.0005067727,0.0000528245,0.00007600956,0.00006380365,0.000318474,0.000002447454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813343,"about_ca_system_score_gemma":0.00004083317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009728765,"about_ca_topic_score_gemma":0.001329332,"domain_scores_codex":[0.998515,0.000009594948,0.0002217605,0.0001937404,0.0001526312,0.0009072643],"domain_scores_gemma":[0.9995461,0.00002351226,0.00001403652,0.0002128058,0.00002464614,0.0001789285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000553042,0.0000716406,0.006324838,0.002425089,0.0005831687,0.0006258264,0.0001459368,0.327165,0.02749921,0.2706579,0.00003926507,0.3644069],"study_design_scores_gemma":[0.0001878513,0.00006788487,0.0004456301,0.0001306042,0.000006802524,0.00001442533,0.00001598474,0.9930889,0.004985311,0.000112947,0.0007565785,0.0001870682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698184,0.006236696,0.02244443,0.00004912668,0.0002556014,0.0005585883,0.000006721144,0.0003712574,0.0002591796],"genre_scores_gemma":[0.9951346,0.0001061849,0.00462646,0.000003623394,0.00003674336,0.00004531623,8.687818e-7,0.00004303906,0.000003146936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.665924,"threshold_uncertainty_score":0.6609616,"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."}}