{"id":"W2098234130","doi":"10.1016/j.toxicon.2015.10.010","title":"On-line solid-phase extraction coupled to liquid chromatography tandem mass spectrometry for the analysis of cyanotoxins in algal blooms","year":2015,"lang":"en","type":"article","venue":"Toxicon","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Cylindrospermopsin; Solid phase extraction; Extraction (chemistry); Matrix (chemical analysis); Chemistry; Algal bloom; Detection limit; Mass spectrometry; Tandem mass spectrometry; Sample preparation; Environmental chemistry; Cyanobacteria; Biology; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006362351,0.0001240556,0.000297667,0.0002055707,0.00004710854,0.00001555658,0.0001868459,0.00006989126,0.0002637144],"category_scores_gemma":[0.00007963276,0.00009296719,0.0001333052,0.001132868,0.0000435508,0.00006799345,0.00002982962,0.0000841905,0.00003278867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343847,"about_ca_system_score_gemma":0.00001360829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002705795,"about_ca_topic_score_gemma":0.00165985,"domain_scores_codex":[0.9988904,0.00003464207,0.0003438535,0.0002316771,0.0002849898,0.000214416],"domain_scores_gemma":[0.9991997,0.0002197662,0.0001559771,0.0003004616,0.00001129532,0.0001127567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001534414,0.001764017,0.0479763,0.00003826485,0.0009673659,0.00001750149,0.001662362,0.5708975,0.3702604,0.001973554,0.001244596,0.001663707],"study_design_scores_gemma":[0.001857571,0.001918082,0.01075062,0.00002410365,0.0003051143,0.000002785188,0.0002897963,0.9626973,0.02082202,0.0004999156,0.0005841226,0.0002486012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297638,0.00002362404,0.0688729,0.0001260393,0.0001136673,0.0004775685,0.00005258787,0.00001523118,0.0005546042],"genre_scores_gemma":[0.9988753,0.000006662194,0.0008061951,0.0001127009,0.00003771528,0.00004996496,0.00002309121,0.00001115927,0.00007727092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917998,"threshold_uncertainty_score":0.3791092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253430346314205,"score_gpt":0.3280352513587759,"score_spread":0.3026922167273554,"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."}}