{"id":"W2366481909","doi":"","title":"FI-CHEMILUMINESCENCE DETERMINATION OF GLUTAMIC ACID","year":2004,"lang":"en","type":"article","venue":"Physical Testing and Chemical Analysis","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemiluminescence; Glutamic acid; Luminol; Detection limit; Chemistry; Potassium thiocyanate; Linear range; Chromatography; Linear relationship; Amino acid; Inorganic chemistry; Biochemistry; Mathematics","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":[0.00008667338,0.0001092225,0.0002723894,0.00003662729,0.00005200995,0.0000138789,0.0001197253,0.0000328402,0.00001306411],"category_scores_gemma":[0.0002115919,0.0000919837,0.0001440425,0.001024781,0.0001859702,0.0000696895,0.00009907782,0.00007967524,0.00001297031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004295823,"about_ca_system_score_gemma":0.000002898516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005656785,"about_ca_topic_score_gemma":0.000001259845,"domain_scores_codex":[0.9991241,0.00001473538,0.0001822483,0.0002833038,0.0002382944,0.0001573571],"domain_scores_gemma":[0.9995489,0.0001040677,0.00008765492,0.0001576806,0.00001684565,0.00008483548],"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":[0.000002050517,0.000119575,0.03009532,0.00001171656,0.00004571038,0.000001120406,0.0001773465,0.0004170407,0.9624521,0.000007667692,0.000001268214,0.006669128],"study_design_scores_gemma":[0.0001300513,0.0000204684,0.009374184,0.00001735886,0.0005947038,9.968791e-7,0.00002517944,0.01412497,0.9718431,0.003719619,0.00000211944,0.0001472681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979653,0.000008553726,0.001663268,0.00008389167,0.000004623045,0.00001691744,0.000001946051,0.00003189434,0.000223551],"genre_scores_gemma":[0.9944338,0.000001510883,0.005463527,0.000009390887,0.00005203788,0.000003289882,0.00000519094,0.000004697727,0.00002658711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072114,"threshold_uncertainty_score":0.3750986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173199997565895,"score_gpt":0.2473747383932549,"score_spread":0.2300547386366654,"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."}}