{"id":"W4416612198","doi":"10.1016/j.ensm.2025.104765","title":"Flexible MXene–hydrogel mechatronics for next-generation energy storage applications: A review","year":2025,"lang":"en","type":"article","venue":"Energy storage materials","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Mechatronics; Energy storage; Energy (signal processing); Computer data storage; Energy density","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001544436,0.0005455638,0.001044106,0.0002516079,0.000499543,0.0005096006,0.0007317993,0.0002727837,0.00231152],"category_scores_gemma":[0.0001295858,0.000521533,0.0001952707,0.0004069142,0.00008911511,0.0004419014,0.0002622028,0.00005046429,0.000112607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465154,"about_ca_system_score_gemma":0.000352403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106636,"about_ca_topic_score_gemma":0.00006182249,"domain_scores_codex":[0.9963055,0.0003272069,0.001248281,0.001005552,0.0003762469,0.0007372309],"domain_scores_gemma":[0.9977101,0.0001237829,0.0005493856,0.001171348,0.0002872511,0.0001581358],"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":[0.00005575442,0.00007939282,8.551429e-8,0.0006669686,0.00003266806,0.0000025493,0.00001264262,0.0001327941,0.745614,0.2254162,0.02633195,0.001655059],"study_design_scores_gemma":[0.0004072493,0.00005176979,2.098212e-7,0.00026103,0.00009585521,0.00000390405,0.000007819543,0.0000792345,0.5890647,0.005199173,0.4045178,0.0003112633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08885753,0.06612474,0.8191475,0.002302011,0.01150667,0.003766352,0.002395564,0.001638173,0.004261468],"genre_scores_gemma":[0.8739866,0.02540604,0.01763676,0.02168473,0.005273078,0.02232417,0.005015894,0.0003709781,0.02830174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8015108,"threshold_uncertainty_score":0.9997236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757974894510071,"score_gpt":0.2911150076871141,"score_spread":0.2535352587420134,"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."}}