{"id":"W2156073862","doi":"10.1007/s10646-005-0010-z","title":"Cholinesterases in Aquatic Biomonitoring: Assay Optimization and Species-Specific Characterization for a California Native Fish","year":2005,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Davis; U.S. Geological Survey; U.S. Environmental Protection Agency","keywords":"Biomonitoring; Pesticide; Contamination; Diazinon; Water quality; Aquatic ecosystem; Chlorpyrifos; Invertebrate; Environmental science; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000399269,0.0002123101,0.0002817305,0.0001384173,0.0001958295,0.00003037903,0.0001550361,0.0002778678,0.002475695],"category_scores_gemma":[0.00009834059,0.0002225915,0.00004079337,0.000241446,0.000317591,0.0003207833,0.0001315089,0.0001629978,0.00015138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271416,"about_ca_system_score_gemma":0.00000864006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000342339,"about_ca_topic_score_gemma":0.0003947243,"domain_scores_codex":[0.9983919,0.0001686202,0.0003991023,0.0005087993,0.00009809872,0.0004334868],"domain_scores_gemma":[0.9992965,0.0002803485,0.0001566975,0.0001613134,0.00000428245,0.000100869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003494722,0.001600022,0.5147559,0.00003024189,0.00004454226,0.00002460065,0.001146251,0.03751284,0.4254087,0.0002046365,0.002980498,0.01594232],"study_design_scores_gemma":[0.004940353,0.001111239,0.5542164,0.00002860318,0.00003801535,0.00009314289,0.0001857795,0.09949377,0.08229638,0.0003672209,0.2562011,0.001028017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876758,0.00002125458,0.007388388,0.001934284,0.0003330586,0.0009835497,0.00007114423,0.00004255969,0.001549957],"genre_scores_gemma":[0.9903101,0.000194786,0.00556145,0.001481664,0.0002833121,0.0004419197,0.0001832056,0.00003119489,0.001512422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3431123,"threshold_uncertainty_score":0.9984362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657214383488469,"score_gpt":0.2427999409244234,"score_spread":0.2262277970895387,"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."}}