{"id":"W4398181710","doi":"10.1002/adem.202400515","title":"MXene‐Cobalt Hybrid Electrodes for Electroactive Artificial Muscle","year":2024,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Materials science; Cobalt; Artificial muscle; Electrode; Nanotechnology; Metallurgy; Actuator; Artificial intelligence; Computer science; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001068001,0.0002721837,0.0001833536,0.0002439396,0.0001243745,0.0003257428,0.0003497511,0.0004428981,0.001428789],"category_scores_gemma":[0.0001084628,0.0001253977,0.0001138926,0.0001949133,0.0001150645,0.0004084333,0.0003256491,0.0002726218,0.0005481711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303347,"about_ca_system_score_gemma":0.00007479877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133689,"about_ca_topic_score_gemma":0.0005342112,"domain_scores_codex":[0.9998944,0.000008976522,0.000007449708,0.00002710191,0.00004686834,0.00001526709],"domain_scores_gemma":[0.9999616,0.000009153782,0.00000977315,0.000003138598,0.000009333737,0.000006981265],"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":[0.00002454396,0.00001013317,0.00003941018,0.0000996907,0.000004852255,0.00006940139,0.00001204498,0.0000629082,0.9961905,0.0004384945,0.000145835,0.002902042],"study_design_scores_gemma":[0.000006543134,0.00009441169,0.0004585178,0.000009471312,0.000005854889,0.0001654313,0.0000170784,0.001167794,0.9911091,0.00007207336,0.006888408,0.000005206075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245585,0.01901656,0.03661955,0.0005858236,0.0004261925,0.0001230411,0.0005621172,0.000522241,0.01758598],"genre_scores_gemma":[0.9733262,0.003877632,0.01338198,0.0001401629,0.00004649192,0.00006695552,0.0002367433,0.00002694994,0.00889678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428789,"threshold_uncertainty_score":0.004779756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008752979819218732,"score_gpt":0.2480858267990413,"score_spread":0.2393328469798226,"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."}}