{"id":"W7011700382","doi":"","title":"A Multi-Class Cyanobacterial Toxin Screening Method using Hydrophilic Interaction Liquid Chromatography with Tandem Mass Spectrometry (HILIC-MS/MS)","year":2022,"lang":"en","type":"article","venue":"ScholarWorks@BGSU (Bowling Green State University)","topic":"Globalization, Historical Perspectives, and International Relations","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyanobacteria; Microcystin; Domoic acid; Marine toxin; Tandem mass spectrometry; Formic acid; Mass spectrometry; Cyanotoxin; Liquid chromatography–mass spectrometry; Detection limit","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":[0.001259796,0.001623015,0.0006759424,0.001963413,0.0008480189,0.0007031728,0.0007005683,0.0009326715,0.001195271],"category_scores_gemma":[0.0008222504,0.0005458476,0.0006072072,0.0008085897,0.0006724563,0.0008368978,0.001141901,0.00100038,0.00121197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007028924,"about_ca_system_score_gemma":0.001245073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000794059,"about_ca_topic_score_gemma":0.002138889,"domain_scores_codex":[0.9980287,0.0002308315,0.0001124196,0.0004868481,0.001029959,0.0001112515],"domain_scores_gemma":[0.9993312,0.0001356694,0.0001548979,0.00005354689,0.0002581686,0.00006654295],"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":[0.00005275702,0.00005270441,0.001416607,0.0001333869,0.00003702088,0.00005527606,0.00002468277,0.0001349418,0.9849666,0.0001058569,0.0003242308,0.01269604],"study_design_scores_gemma":[0.0000165213,0.0003047541,0.003607576,0.00002065329,0.0000542236,0.0006757104,0.00003049622,0.00430503,0.9870754,0.000100639,0.003769319,0.00003974385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3768479,0.007760986,0.5926927,0.0009530066,0.0003658338,0.002043476,0.003073682,0.008147992,0.008114474],"genre_scores_gemma":[0.4598283,0.005076668,0.5205307,0.002153292,0.0001237932,0.001201429,0.003132231,0.0002806566,0.007672927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001963413,"threshold_uncertainty_score":0.006662488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794442468519166,"score_gpt":0.2852071295124634,"score_spread":0.2572627048272717,"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."}}