{"id":"W3034542110","doi":"10.1002/ieam.4300","title":"A Mystery Tale: Nickel Is Fickle When Snails Fail—Investigating the Variability in Ni Toxicity to the Great Pond Snail","year":2020,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Wilfrid Laurier University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Nickel Producers Environmental Research Association","keywords":"Lymnaea stagnalis; Freshwater snail; Snail; Toxicity; Population; Chronic toxicity; Environmental chemistry; Bioavailability; Toxicology; Biology; Environmental toxicology; Biotic Ligand Model; Ecotoxicology; Ecology; Zoology; Chemistry; Environmental health; Medicine; Pharmacology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001200208,0.0004616017,0.0003642478,0.00004807008,0.0005407919,0.0001260485,0.000750396,0.0001632509,0.007179329],"category_scores_gemma":[0.00002787259,0.0003054241,0.00009847005,0.0003490227,0.0007596553,0.00031467,0.001665266,0.0005856911,0.0006594864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008313782,"about_ca_system_score_gemma":0.000009854079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001822876,"about_ca_topic_score_gemma":0.0003775688,"domain_scores_codex":[0.9966732,0.0005121136,0.0005776379,0.001014625,0.0004760278,0.0007464229],"domain_scores_gemma":[0.9987954,0.0001635378,0.000152148,0.0005653324,0.000001361926,0.0003222269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001962695,0.0009617929,0.80437,0.00009790754,0.0003496452,0.0001409688,0.01134257,0.003110288,0.03885086,0.0006887705,0.09587437,0.04401656],"study_design_scores_gemma":[0.0022303,0.001041502,0.7730921,0.00008000264,0.000225256,0.00003556677,0.01410975,0.01409424,0.006814444,0.002446578,0.1845032,0.001327103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561643,0.0000491169,0.001554435,0.02619084,0.0001882168,0.00209854,0.0000664585,0.00005402924,0.01363408],"genre_scores_gemma":[0.9749756,0.0001496716,0.001686872,0.01929222,0.0000436574,0.0004496015,0.00004021892,0.00003201922,0.003330112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08862878,"threshold_uncertainty_score":0.9999398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603723506727952,"score_gpt":0.2394435835634855,"score_spread":0.223406348496206,"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."}}