{"id":"W3110151170","doi":"10.1016/j.hal.2020.101955","title":"Stability issues of microcystins, anabaenopeptins, anatoxins, and cylindrospermopsin during short-term and long-term storage of surface water and drinking water samples","year":2020,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Génome Québec; Genome Canada","keywords":"Cyanotoxin; Cylindrospermopsin; Ultrapure water; Environmental chemistry; Surface water; Water quality; Environmental science; Contamination; Chemistry; Water treatment; Microcystin; Cyanobacteria; Environmental engineering; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008579399,0.0003287989,0.0002342419,0.0003469495,0.0007454413,0.000693653,0.0003001278,0.0006132711,0.0008359342],"category_scores_gemma":[0.001447932,0.0001545369,0.0003978126,0.0004435183,0.0004116685,0.000666954,0.0003592479,0.0004729496,0.0002130104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006974722,"about_ca_system_score_gemma":0.0005393642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006209346,"about_ca_topic_score_gemma":0.008070125,"domain_scores_codex":[0.9995081,0.00008083424,0.00006542667,0.0001207773,0.0001572436,0.00006751242],"domain_scores_gemma":[0.9992177,0.0001270257,0.0001258109,0.00006246745,0.0004221242,0.00004476592],"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":[0.001474504,0.0000795384,0.02291901,0.00008734177,0.00008360098,0.0001664374,0.0005193846,0.0004147764,0.9649331,0.0001039934,0.0002096915,0.009008526],"study_design_scores_gemma":[0.00001778563,0.0007297581,0.06795894,0.00002127862,0.0001323601,0.0002766098,0.0007167829,0.002347682,0.9257126,0.0001093634,0.001936184,0.00004065891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997386,0.000584315,0.001056772,0.00007746919,0.0000418657,0.00001433304,0.000433442,0.0000184961,0.0003872666],"genre_scores_gemma":[0.9980472,0.0002028895,0.0005906946,0.0000446879,0.00001471416,0.00001803964,0.0004116102,0.000008936283,0.000661128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006209346,"threshold_uncertainty_score":0.01234639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728501853261616,"score_gpt":0.2255923616310145,"score_spread":0.2083073430983983,"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."}}