{"id":"W6921847688","doi":"10.1021/es202780r.s001","title":"Using Chemical Reactivity To Provide Insights into Environmental Transformations of Priority Organic Substances: The Fe<sup>0</sup>-Mediated Reduction of Acid Blue 129","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reactivity (psychology); Chemical reaction; Organic chemicals; Chemical transformation; Human health; Oxidation reduction; Decomposition; Redox","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008848594,0.0002187972,0.000274564,0.00008562746,0.00006630189,0.0000148503,0.0002327338,0.0001538981,0.005145835],"category_scores_gemma":[0.0002577942,0.0001606354,0.00007185672,0.0002149489,0.00004398324,0.0005468353,0.00005823585,0.00009575951,0.0002222988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748621,"about_ca_system_score_gemma":0.00003789151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003114693,"about_ca_topic_score_gemma":0.00001499137,"domain_scores_codex":[0.998606,0.00006226914,0.0005092311,0.0002231465,0.0003733822,0.0002259499],"domain_scores_gemma":[0.9992677,0.0001007284,0.000166125,0.0003374805,0.00002194977,0.0001060321],"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":[0.00002342038,0.00005192451,0.00003160153,0.0001374338,0.00002874545,5.998966e-7,0.002275397,0.0003661824,0.995678,0.000001350498,0.0005153792,0.0008899854],"study_design_scores_gemma":[0.0003952326,0.00002951091,0.001587493,0.0004154173,0.00002237667,0.000005607688,0.0001206108,0.00070793,0.9919431,0.00001550247,0.004559339,0.0001978412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853954,0.0002064537,0.0001658575,0.00005168879,0.00007944761,0.0006967846,0.01327442,0.00008678573,0.00004321986],"genre_scores_gemma":[0.9962402,0.00005297095,0.0003152822,0.000008163922,0.00008977293,0.00009860704,0.003143352,0.00004236081,0.000009277091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084487,"threshold_uncertainty_score":0.9957636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517198182313433,"score_gpt":0.2071940880737491,"score_spread":0.1920221062506147,"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."}}