{"id":"W2190899333","doi":"10.1016/j.chemosphere.2015.11.049","title":"Quantitative proteomic analysis of Dunaliella salina upon acute arsenate exposure","year":2015,"lang":"en","type":"article","venue":"Chemosphere","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dunaliella salina; Arsenate; Chemistry; Environmental chemistry; Biology; Botany; Algae; Arsenic","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":[0.0001027132,0.0003923639,0.0002950446,0.0003267964,0.0003957523,0.000388436,0.0001721878,0.0002850664,0.000725882],"category_scores_gemma":[0.0001369537,0.0001330087,0.000305282,0.000379158,0.0001984001,0.0002025035,0.0002754274,0.0003614424,0.0002526129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803828,"about_ca_system_score_gemma":0.0002799944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004307234,"about_ca_topic_score_gemma":0.00543408,"domain_scores_codex":[0.9998951,0.000007488591,0.000006292702,0.0000281765,0.00003863086,0.00002426507],"domain_scores_gemma":[0.9999046,0.00001347294,0.00001856193,0.000007809012,0.00003826664,0.00001720226],"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":[0.0000675714,0.000006509415,0.0002232588,0.00002243221,0.000004585671,0.00002069146,0.0000286373,0.00001442742,0.9991648,0.000009779752,0.00002201204,0.0004153123],"study_design_scores_gemma":[0.00001060529,0.0002456132,0.1087304,0.00001000826,0.00004738042,0.0002519293,0.0005208525,0.0007056132,0.8859795,0.00006898974,0.00340669,0.00002246321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944468,0.0004816841,0.001315128,0.0001154901,0.00004431381,0.00002273099,0.001813423,0.00006139785,0.001699015],"genre_scores_gemma":[0.9879452,0.0007059592,0.002760091,0.0001370176,0.00002076083,0.0000575107,0.002972711,0.00002497516,0.005375853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004307234,"threshold_uncertainty_score":0.008564353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945637780247294,"score_gpt":0.262887852159935,"score_spread":0.2434314743574621,"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."}}