{"id":"W1933150272","doi":"10.1039/c5tx00122f","title":"In vitro toxicological characterisation of arsenic-containing fatty acids and three of their metabolites","year":2015,"lang":"en","type":"article","venue":"Toxicology Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"Westfälische Wilhelms-Universität Münster; Austrian Science Fund; Deutsche Forschungsgemeinschaft","keywords":"Arsenic; Arsenite; Toxicity; Chemistry; In vitro; Thio-; Biochemistry; Fatty acid; Environmental chemistry; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.002117833,0.00006696878,0.0002035017,0.000118606,0.00003536959,0.000005382632,0.0001368267,0.0001217298,0.0004249174],"category_scores_gemma":[0.0003124751,0.00005587109,0.00002194735,0.0002654375,0.0005487705,0.0001755492,0.0002348789,0.000197457,0.00001688012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009909729,"about_ca_system_score_gemma":0.00004458519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009665979,"about_ca_topic_score_gemma":0.0003172439,"domain_scores_codex":[0.9987258,0.0003358275,0.0002580115,0.0001946679,0.0002604295,0.0002252519],"domain_scores_gemma":[0.9993942,0.0002645154,0.000080235,0.0001331096,0.00004700924,0.00008087874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001680828,0.00009438526,0.1422105,0.000004328715,0.000005234914,0.000002743178,0.002081773,0.000003647468,0.8239009,0.0009037439,0.00003103892,0.03059364],"study_design_scores_gemma":[0.0006601692,0.0003358078,0.6815721,0.00000336835,0.000002660829,0.000005323557,0.001477302,0.0007600703,0.3117688,0.002802717,0.0005576125,0.00005409651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962941,0.00006086778,0.00007758399,0.0007148951,0.00003680764,0.0002629899,0.000004793492,0.00000680711,0.002541088],"genre_scores_gemma":[0.9993665,0.00001718763,0.0004026431,0.0000593325,0.00001426501,0.000030807,0.00000539399,0.000004263607,0.00009959373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5393617,"threshold_uncertainty_score":0.4652547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040910206174888,"score_gpt":0.3525126829830194,"score_spread":0.2484216623655306,"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."}}