{"id":"W4405996428","doi":"10.1021/acselectrochem.4c00064","title":"Synergistic Polydopamine/Graphene Oxide Hybrids: Elevating Electrochemical Performance","year":2025,"lang":"en","type":"article","venue":"ACS electrochemistry.","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Ministry of Trade, Industry and Energy; Australia-Korea Foundation","keywords":"Graphene; Oxide; Electrochemistry; Materials science; Hybrid; Nanotechnology; Chemistry; Electrode; Metallurgy; Biology; Botany","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":[0.00010725,0.0003193031,0.0001416271,0.000212864,0.00009289871,0.0003253431,0.0002055344,0.0003442196,0.000506544],"category_scores_gemma":[0.0001558229,0.0001301402,0.0001164445,0.0001532232,0.0001323311,0.0002445884,0.0002146109,0.0002967632,0.0001732459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673761,"about_ca_system_score_gemma":0.0000623809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509383,"about_ca_topic_score_gemma":0.0009941757,"domain_scores_codex":[0.9999126,0.000009204341,0.000005876318,0.00002531678,0.00002851115,0.00001854573],"domain_scores_gemma":[0.9999328,0.00001978807,0.00001458157,0.00000582677,0.00001425473,0.00001271339],"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":[0.000009975314,0.000003349252,0.00002425756,0.00001012386,0.000001411341,0.00001178083,0.000003793601,0.00001642784,0.999226,0.00001084052,0.0000107393,0.0006712821],"study_design_scores_gemma":[0.000001846023,0.00003208263,0.0004028694,0.000001332311,0.000004338,0.00002710389,0.000004980367,0.00055058,0.9986446,0.000006147259,0.00032219,0.000001950533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926746,0.001178471,0.004587321,0.00006747949,0.00003364728,0.00001447843,0.00007939752,0.0001354024,0.001229282],"genre_scores_gemma":[0.9925622,0.0005295116,0.005639079,0.00003369668,0.00000846517,0.00001334558,0.00006223248,0.00001772547,0.001133606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000506544,"threshold_uncertainty_score":0.00169456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006148771301052258,"score_gpt":0.2345170973504242,"score_spread":0.228368326049372,"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."}}