{"id":"W4386222423","doi":"10.1142/s0129183124500475","title":"Computational analysis of preheating cylindrical lithium-ion batteries with fin-assisted phase change material","year":2023,"lang":"en","type":"article","venue":"International Journal of Modern Physics C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; Environmental science; Combustion; Phase-change material; Materials science; Fossil fuel; Thermal; Process engineering; Nuclear engineering; Computer science; Power (physics); Waste management; Engineering; 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":[0.0001195159,0.0001273345,0.0002965642,0.0005452327,0.00002742253,0.00004543218,0.000384987,0.00005181204,0.00003181611],"category_scores_gemma":[0.00003280024,0.0001113876,0.0001205821,0.0006591015,0.00007917543,0.0003565739,0.00009111096,0.0002091194,0.000003915811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146315,"about_ca_system_score_gemma":0.0000286395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003266262,"about_ca_topic_score_gemma":0.000001780121,"domain_scores_codex":[0.9984997,0.0000233817,0.0004230328,0.0001137363,0.0007711304,0.0001690547],"domain_scores_gemma":[0.9990056,0.0001428003,0.0002144475,0.0001123575,0.0004839779,0.00004083224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002995515,0.0001637899,0.001709454,0.00003622397,0.002238902,0.00009558687,0.0006550806,0.7946807,0.04738072,0.0002567733,0.000130708,0.1523525],"study_design_scores_gemma":[0.001360377,0.0002930328,0.01038599,0.0001136666,0.000166039,0.00003703307,0.00008699157,0.9495586,0.03193544,0.005742632,0.0001243974,0.0001957595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965094,0.00001620204,0.2025567,0.0003188808,0.0002426203,0.00005988793,0.0001513064,0.00008970995,0.00005520323],"genre_scores_gemma":[0.9954135,0.00002045412,0.004111532,0.00002465901,0.0002525974,0.00001013589,0.0001330424,0.00002445187,0.00000965233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198904,"threshold_uncertainty_score":0.4542254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645236069671448,"score_gpt":0.332649994095568,"score_spread":0.2861976333988535,"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."}}