{"id":"W4410635984","doi":"10.1016/j.talanta.2025.128370","title":"Enhanced abscisic acid detection via SERS-active single crystal MAPbCl3 nanofiber-based Self-CoAptaNano (SCAN) substrate","year":2025,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; State Key Laboratory of Wheat and Maize Crop Science; King Saud University; National Natural Science Foundation of China","keywords":"Chemistry; Abscisic acid; Substrate (aquarium); Nanofiber; Single crystal; Crystal violet; Nanotechnology; Crystallography; Biochemistry","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":[0.00016771,0.0003531621,0.0002361194,0.0002308487,0.0001548556,0.0003052261,0.0005663405,0.0005185913,0.0007895104],"category_scores_gemma":[0.000188321,0.0002108567,0.0001774835,0.000185278,0.000197711,0.0002958725,0.0002259894,0.0003221679,0.0003816199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959551,"about_ca_system_score_gemma":0.0001333166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005965189,"about_ca_topic_score_gemma":0.00143265,"domain_scores_codex":[0.9997372,0.00002612386,0.00001461686,0.0000943601,0.00008610015,0.00004157338],"domain_scores_gemma":[0.9998344,0.00002889596,0.00005309847,0.00001843316,0.00004131292,0.00002377022],"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":[0.00002076566,0.000003092424,0.00002602599,0.00001205133,0.000001092227,0.00001824108,0.00000440229,0.00001848071,0.9994859,0.00001881098,0.00001491059,0.0003762917],"study_design_scores_gemma":[0.00000247085,0.00001638981,0.000219946,7.238842e-7,0.000001826539,0.0000329062,0.000003803322,0.0006973,0.9988158,0.000005838267,0.0002012478,0.000001882276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843369,0.0006193907,0.01191057,0.00013244,0.0000413853,0.00001768825,0.0001866646,0.0003039837,0.002451036],"genre_scores_gemma":[0.9881305,0.0002666245,0.009324668,0.00004578815,0.00001421255,0.00001427397,0.0001214964,0.00002626357,0.00205622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007895104,"threshold_uncertainty_score":0.002872884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006000494352018304,"score_gpt":0.2393202827185746,"score_spread":0.2333197883665563,"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."}}