{"id":"W2318274477","doi":"10.1021/es202780r","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":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Chemistry; Reactivity (psychology); Environmental chemistry; Chemical reaction; Chemical transformation; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002079241,0.0002662064,0.0001318817,0.0001313247,0.0001204821,0.0002290806,0.0001936793,0.0003714671,0.0005754865],"category_scores_gemma":[0.0002080005,0.0001006183,0.0001894013,0.0001103996,0.0002602338,0.0002659936,0.0001569485,0.0003257674,0.0001612177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812229,"about_ca_system_score_gemma":0.0001439016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007939825,"about_ca_topic_score_gemma":0.001634959,"domain_scores_codex":[0.9998819,0.00001987246,0.0000051775,0.00003297741,0.00004154162,0.00001852123],"domain_scores_gemma":[0.999895,0.00003791848,0.00002720624,0.000008753747,0.00002456892,0.000006653189],"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":[0.00003255195,0.000009498649,0.0005687845,0.00003272642,0.000004976749,0.00003215605,0.00001814453,0.0001155712,0.9968329,0.00008844968,0.00001239046,0.002251915],"study_design_scores_gemma":[0.00000171603,0.00008368496,0.001723313,0.000001552241,0.000005771097,0.0000814024,0.00001283506,0.0007237684,0.9967699,0.00004846073,0.0005446199,0.000003037998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767259,0.001287646,0.01917395,0.0001553666,0.00001652083,0.00003692857,0.0001335705,0.00007819649,0.002391879],"genre_scores_gemma":[0.9865661,0.0005869525,0.01154181,0.00006247678,0.000003616477,0.000008896266,0.00009090092,0.000007003713,0.001132206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007939825,"threshold_uncertainty_score":0.00192517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009847323319572415,"score_gpt":0.1983041312927638,"score_spread":0.1884568079731914,"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."}}