{"id":"W108898509","doi":"","title":"Using SPE and HPLC-MS to Quantify and Identify Pharmaceutical Compounds in St. John's University Wastewater","year":2014,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chromatography; Wastewater; High-performance liquid chromatography; Chemistry; Environmental science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000382697,0.0004617058,0.0003603644,0.0006141484,0.0005072656,0.001046946,0.000347264,0.00114208,0.001063564],"category_scores_gemma":[0.0006968988,0.0002368479,0.0003539619,0.0005536869,0.0004829489,0.0005130596,0.0004088253,0.0006694599,0.001131683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088164,"about_ca_system_score_gemma":0.001428393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002923187,"about_ca_topic_score_gemma":0.00707746,"domain_scores_codex":[0.9993111,0.00009618412,0.00006149253,0.0001599275,0.000323673,0.00004771345],"domain_scores_gemma":[0.9997159,0.00009144374,0.0000393037,0.00002169845,0.000105734,0.00002596454],"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":[0.0001041307,0.0001133908,0.002143184,0.0003220794,0.00004867103,0.000139451,0.00006656411,0.0005149274,0.9608738,0.000242512,0.0003145174,0.03511683],"study_design_scores_gemma":[0.00001958429,0.0002880782,0.008858872,0.0000371172,0.00004593238,0.0005115664,0.00009625945,0.002806805,0.9798312,0.0002204021,0.007239115,0.00004518884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953882,0.008570686,0.07495781,0.001170318,0.0003822976,0.0007991702,0.001555365,0.0008574385,0.01631852],"genre_scores_gemma":[0.8088392,0.008309676,0.1510891,0.001521679,0.0001047404,0.0004210687,0.001697375,0.000118646,0.02789862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002923187,"threshold_uncertainty_score":0.005812347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0587417781666707,"score_gpt":0.3189853265050956,"score_spread":0.2602435483384249,"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."}}