{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716128,0.000113412,0.000689952,0.0008617333,0.0000532488,0.000007272023,0.0000921008,0.00005169224,0.00001158853],"category_scores_gemma":[0.003540246,0.0001035997,0.00008883205,0.003848778,0.0001918976,0.00005562028,0.00005853499,0.0001014951,0.000002307127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493943,"about_ca_system_score_gemma":0.0002070473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001927416,"about_ca_topic_score_gemma":0.00004389619,"domain_scores_codex":[0.9979911,0.0005001174,0.0006189608,0.0004172283,0.0001866349,0.0002859531],"domain_scores_gemma":[0.9969251,0.002539652,0.0002072939,0.0001590364,0.00007055043,0.00009841289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000175156,0.0002265324,0.01388279,0.0004703309,0.0004924439,0.000008689156,0.01401686,0.0003494397,0.08234259,0.8428264,0.00004062942,0.0451681],"study_design_scores_gemma":[0.0005707816,0.0001673794,0.2807687,0.0001061068,0.0002125428,0.000001423807,0.001278607,0.06308617,0.6504053,0.0007742025,0.002420026,0.0002087912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859805,0.0002054754,0.01216124,0.0005202241,0.00005906636,0.0004298138,0.00005062729,0.00002531547,0.0005678014],"genre_scores_gemma":[0.7075543,0.00007588958,0.2921029,0.00008545457,0.000006687103,0.00002501385,0.000008220566,0.0000116069,0.000129908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8420522,"threshold_uncertainty_score":0.4238261,"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."}}