{"id":"W2806460956","doi":"10.11159/ffhmt18.149","title":"Novel Hybrid Cooling Concept for Battery Thermal Management Design","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal management of electronic devices and systems; Battery (electricity); Computer science; Computer cooling; Thermal; Electrical engineering; Automotive engineering; Engineering; Mechanical engineering; Power (physics); Physics; Meteorology; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000138659,0.0001740985,0.0001563688,0.0001129309,0.00007497641,0.00006682675,0.0005846159,0.00005675227,0.00007948972],"category_scores_gemma":[0.00001971929,0.0001367054,0.00005968831,0.00007271444,0.0002047091,0.0001830731,0.00006450329,0.0001504367,0.000004322023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005571083,"about_ca_system_score_gemma":0.000009427305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001273359,"about_ca_topic_score_gemma":2.844844e-7,"domain_scores_codex":[0.999013,0.000002152864,0.0002118513,0.0002327108,0.0002835921,0.0002566649],"domain_scores_gemma":[0.9995401,0.00004660637,0.000009884681,0.0000913109,0.0002746287,0.00003750233],"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":[0.0002550176,0.00003081545,0.0000426438,0.0001081202,0.000143864,4.424534e-7,0.0001445432,0.001321963,0.9624031,0.02546211,0.001005103,0.009082248],"study_design_scores_gemma":[0.0007944903,0.0001401602,0.00009847485,0.0001700197,0.0000194612,0.0000051335,0.0001707273,0.2274664,0.7678915,0.002181278,0.0008790816,0.0001832783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2569126,0.00005880891,0.7247251,0.001946945,0.000725136,0.001091803,0.0001204428,0.0002639669,0.01415526],"genre_scores_gemma":[0.9890453,0.00009795379,0.01025991,0.0001366245,0.0001042916,0.0001159111,0.000003606471,0.0000287793,0.0002075801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7321327,"threshold_uncertainty_score":0.5574684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865741674047426,"score_gpt":0.2618572425885637,"score_spread":0.2231998258480894,"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."}}