{"id":"W2968367584","doi":"10.1016/j.envint.2019.105091","title":"Triple functional small-molecule-protein conjugate mediated optical biosensor for quantification of estrogenic activities in water samples","year":2019,"lang":"en","type":"article","venue":"Environment International","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Beijing Municipal Natural Science Foundation; Natural Science Foundation of Beijing Municipality","keywords":"Moiety; Conjugate; Biosensor; Chemistry; Detection limit; Fluorescence; Chromatography; Streptavidin; Estrogen receptor; Biochemistry; Stereochemistry; Biotin; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153484,0.0001118479,0.0001257218,0.0000775109,0.00001888093,0.000009444168,0.0001038568,0.00009682771,0.00003920665],"category_scores_gemma":[0.00003622668,0.00009259539,0.0001031675,0.0000215166,0.0000784624,0.000005996189,0.00005100071,0.00004990125,0.00001070959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003352519,"about_ca_system_score_gemma":0.00001277762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005245221,"about_ca_topic_score_gemma":0.000006536553,"domain_scores_codex":[0.9991515,0.00002663767,0.0002504127,0.0002854819,0.0001483528,0.0001375937],"domain_scores_gemma":[0.9996819,0.00002212564,0.00008427647,0.0001639246,0.00002367802,0.00002404592],"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":[0.0002546563,0.0001097987,0.001855863,0.000006531005,0.0000714335,3.15021e-7,0.000006714645,0.0001139268,0.9969037,0.0003608387,0.00002688079,0.000289341],"study_design_scores_gemma":[0.0005660739,0.000142286,0.001714129,0.000009954696,0.00001069815,0.000002092872,0.00003700176,0.0004196399,0.9923965,0.0000803811,0.004504169,0.0001171263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887186,0.00002440561,0.0104291,0.0002691287,0.00007429814,0.000278809,0.00008889075,0.000009172164,0.0001075475],"genre_scores_gemma":[0.9919642,0.00003921884,0.005226898,0.0000489711,0.00005767188,0.00004212071,0.001851893,0.00001300711,0.0007560267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005202205,"threshold_uncertainty_score":0.3775931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166495659861562,"score_gpt":0.2389904849662123,"score_spread":0.2223409189800561,"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."}}