{"id":"W4411251438","doi":"10.1016/j.talanta.2025.128458","title":"Bifunctional MoS2-BiVO4 heterojunction boosts photoelectrochemical and colorimetric dual-mode sialic acid sensing","year":2025,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Shenyang Pharmaceutical University; Scientific Research Fund of Liaoning Provincial Education Department; China Scholarship Council; University of Toronto; National Natural Science Foundation of China","keywords":"Chemistry; Bifunctional; Sialic acid; Heterojunction; Dual (grammatical number); Dual role; Photoelectrochemistry; Inorganic chemistry; Nanotechnology; Combinatorial chemistry; Biochemistry; Optoelectronics; Catalysis; Electrochemistry; Electrode; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001597324,0.0003895392,0.0001783449,0.0002359022,0.00008000701,0.0002683551,0.0002994302,0.0004370225,0.0004316735],"category_scores_gemma":[0.0001400912,0.0002258171,0.000160925,0.0001505772,0.0002160077,0.0002640865,0.000278294,0.0002544226,0.0001737017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135827,"about_ca_system_score_gemma":0.00008634018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002051633,"about_ca_topic_score_gemma":0.0004986122,"domain_scores_codex":[0.999887,0.0000148253,0.000006381111,0.00002729943,0.00004003006,0.0000243929],"domain_scores_gemma":[0.9999574,0.00000808087,0.00001040346,0.000004650027,0.00001174389,0.000007703749],"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":[0.00001267273,0.000005722613,0.000054115,0.000009847313,0.000002491879,0.0000168047,0.000003365947,0.00008115647,0.9989819,0.00003804522,0.00001747016,0.0007765208],"study_design_scores_gemma":[0.000004801183,0.0001036123,0.001130665,0.00000209049,0.000012172,0.00007648494,0.000009469824,0.004338721,0.9936703,0.00003078875,0.0006145146,0.000006226569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876958,0.0005406247,0.009992321,0.00005694525,0.00004979383,0.0000145714,0.00006511345,0.0002121104,0.001372732],"genre_scores_gemma":[0.9921322,0.0003625706,0.005570832,0.00006739119,0.00001650307,0.00001639675,0.00006337122,0.00001334379,0.001757267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004370225,"threshold_uncertainty_score":0.001444161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007947159152329703,"score_gpt":0.2626725255215462,"score_spread":0.2547253663692165,"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."}}