{"id":"W4387130778","doi":"10.1039/d3ay01182h","title":"Development of indirect competitive ELISA and CLEIA for quantitative analysis of melatonin in health products","year":2023,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Detection limit; Immunoassay; Melatonin; Chemiluminescence; Chromatography; High-performance liquid chromatography; IC50; Enzyme; Medicine; Biochemistry; In vitro; Endocrinology; Immunology; Antibody","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":[0.005559059,0.003265655,0.001359589,0.002484249,0.0008166105,0.001208495,0.002258091,0.002041669,0.005592346],"category_scores_gemma":[0.007437227,0.001333103,0.00126232,0.001023074,0.0008374613,0.001263115,0.00157302,0.00293837,0.004783912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005877578,"about_ca_system_score_gemma":0.001580515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029681,"about_ca_topic_score_gemma":0.003021637,"domain_scores_codex":[0.9949438,0.001738123,0.0003649718,0.00128074,0.001248328,0.0004240205],"domain_scores_gemma":[0.9942907,0.002167884,0.0007300461,0.0007052792,0.001748832,0.000357185],"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":[0.0002660219,0.0001945412,0.001638037,0.0004223971,0.00009169489,0.0001391975,0.0001450689,0.0002126475,0.9637628,0.0008412162,0.0006039346,0.03168247],"study_design_scores_gemma":[0.0001237011,0.001495824,0.00897209,0.0001641541,0.000274135,0.002015475,0.0001010108,0.0147514,0.9455938,0.0008066195,0.02555061,0.0001513151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1000538,0.007163053,0.8702103,0.0004692263,0.0008239526,0.001842585,0.0009797439,0.004691361,0.01376601],"genre_scores_gemma":[0.1688742,0.002936969,0.8041523,0.0005103558,0.0002376173,0.003676763,0.002204855,0.0003492938,0.01705772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005592346,"threshold_uncertainty_score":0.02939945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1667146731427619,"score_gpt":0.4576100639910702,"score_spread":0.2908953908483083,"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."}}