{"id":"W2053968386","doi":"10.1016/j.energy.2014.03.012","title":"Investigation on a hydrogel based passive thermal management system for lithium ion batteries","year":2014,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Battery pack; Materials science; Nuclear engineering; Automotive engineering; Range (aeronautics); Depth of discharge; Thermal management of electronic devices and systems; Thermal; Process engineering; Energy storage; Lithium (medication); Environmental science; Mechanical engineering; Engineering; Composite material; 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":[0.00006648346,0.0001206262,0.000105113,0.0001279045,0.00005704277,0.00002102678,0.0001618663,0.00007012733,0.000006245195],"category_scores_gemma":[0.00001954903,0.0001115744,0.00003215575,0.0001066683,0.00003830124,0.00006324124,0.00003380159,0.00006741918,0.00001428337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297581,"about_ca_system_score_gemma":0.000003583266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004186645,"about_ca_topic_score_gemma":0.000003577851,"domain_scores_codex":[0.999321,0.00001884169,0.0001203383,0.0001658233,0.000141699,0.0002322801],"domain_scores_gemma":[0.999554,0.0000836737,0.00002324905,0.0002828279,0.00002083536,0.00003535557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007317491,0.00001987376,0.00008661428,0.0009161475,0.00009741381,0.00001403935,0.00007315132,0.5658272,0.1009063,0.1248989,0.004184267,0.202903],"study_design_scores_gemma":[0.0004128277,0.0001201131,0.0001201676,0.0001102719,0.00000611479,7.184212e-7,0.00008234647,0.2517708,0.6956224,0.001045223,0.05052827,0.0001807425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2108253,0.00003541284,0.7738729,0.000732775,0.0005641682,0.0003546048,0.00001520044,0.0020095,0.0115902],"genre_scores_gemma":[0.9952253,0.000003262094,0.003735281,0.000144424,0.00008486965,0.0004276543,0.00002802777,0.00003756146,0.0003136517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7844,"threshold_uncertainty_score":0.4549872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524200640033173,"score_gpt":0.2174594032073628,"score_spread":0.202217396807031,"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."}}