{"id":"W4409879789","doi":"10.1016/j.hal.2025.102869","title":"Analysis of ciguatoxins in fish with a single-step sandwich immunoassay","year":2025,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; Indiana Retired Teachers Association; European Commission","keywords":"Ciguatoxin; Fish <Actinopterygii>; Immunoassay; Fishery; Biology; Zoology; Immunology; Antibody","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003892138,0.0001105643,0.000269546,0.0002697327,0.00004123234,0.00001723564,0.0001660405,0.00004871599,0.003968658],"category_scores_gemma":[0.00004715779,0.00009186495,0.00008962246,0.002395832,0.00009175718,0.00007647216,0.0001397353,0.0001089012,0.00001517908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000967933,"about_ca_system_score_gemma":0.00001220317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389506,"about_ca_topic_score_gemma":0.006766834,"domain_scores_codex":[0.9990289,0.0001039302,0.0002592047,0.000265467,0.0001624194,0.0001801212],"domain_scores_gemma":[0.9994673,0.00008138307,0.00008119366,0.0003205181,0.00001057955,0.00003903138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001511294,0.0003060863,0.8665636,0.00001617914,0.0003078458,0.000008726354,0.0001857012,0.003256893,0.02408155,0.00008819085,0.0008805088,0.1041536],"study_design_scores_gemma":[0.0006698164,0.00009858097,0.9563257,0.00001763667,0.0002533599,0.000001577144,0.0001066262,0.009272632,0.01734392,0.00007384545,0.01566829,0.0001680946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685865,0.00001397909,0.01471285,0.0001889952,0.0000532259,0.0001273495,0.00000637077,0.00002822153,0.1162825],"genre_scores_gemma":[0.9910322,0.000008486147,0.005964932,0.0003453611,0.000005016659,0.00001578089,0.000004868171,0.000006629071,0.002616699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1224457,"threshold_uncertainty_score":0.9969419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00851908979823025,"score_gpt":0.2511114307770879,"score_spread":0.2425923409788577,"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."}}