{"id":"W2103202883","doi":"10.1109/ceidp.1997.641170","title":"Removal of nitrobenzene and volatile organic compounds using electron radiation","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nitrobenzene; Cathode ray; Analytical Chemistry (journal); Chemistry; Toluene; Materials science; Benzene; Electron; Chromatography; Organic chemistry; Nuclear physics","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":[0.0001175338,0.0004773662,0.0003333693,0.0001492233,0.0002598669,0.0002231147,0.0002164217,0.0002257682,0.001387346],"category_scores_gemma":[0.0001757561,0.00009829379,0.000176992,0.0002037539,0.0001860279,0.0001960942,0.0002504696,0.0002110476,0.00040249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013239,"about_ca_system_score_gemma":0.0001564007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479265,"about_ca_topic_score_gemma":0.002977083,"domain_scores_codex":[0.9998222,0.00002371915,0.000008658321,0.00003789963,0.00006619565,0.00004134584],"domain_scores_gemma":[0.9999101,0.00002547941,0.00001667984,0.000007843291,0.00002717204,0.00001264949],"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":[0.00003687834,0.000006444207,0.0001981603,0.00005794148,0.000002956431,0.00001693934,0.00001667925,0.00004713875,0.9970639,0.00001306522,0.00001684234,0.002523036],"study_design_scores_gemma":[0.000002596367,0.0001323448,0.002002682,0.000003763707,0.000008013093,0.00007794058,0.00002061764,0.0001080265,0.9960316,0.0000113899,0.001598267,0.000002790912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981502,0.003755747,0.01201427,0.00005945399,0.00001994293,0.00003519815,0.0001894149,0.0001046185,0.002319515],"genre_scores_gemma":[0.9750347,0.003221388,0.01048043,0.00006031433,0.000007424745,0.00002796362,0.0005443497,0.00006393438,0.01055944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001479265,"threshold_uncertainty_score":0.004641175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169500182539088,"score_gpt":0.2154132708077191,"score_spread":0.2037182689823282,"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."}}