{"id":"W1773030715","doi":"10.1039/c5pp00286a","title":"Photosensitized degradation kinetics of trace halogenated contaminants in natural waters using membrane introduction mass spectrometry as an in situ reaction monitor","year":2015,"lang":"en","type":"article","venue":"Photochemical & Photobiological Sciences","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada; Vancouver Island University; Universities Space Research Association; University of Victoria","keywords":"Chemistry; Mass spectrometry; Chlorobenzene; Kinetics; Degradation (telecommunications); Membrane; Reaction rate constant; Quadrupole mass analyzer; Environmental chemistry; Ion trap; Contamination; Chromatography; Organic chemistry; Catalysis","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":[0.0001852102,0.0002144258,0.0001275485,0.0001326697,0.0001399788,0.0002057771,0.0002155721,0.0003374123,0.0005058648],"category_scores_gemma":[0.0001848272,0.0001372313,0.000185221,0.00009872628,0.0001650365,0.0002292132,0.0001476186,0.000217381,0.0001988986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437393,"about_ca_system_score_gemma":0.0002066682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192098,"about_ca_topic_score_gemma":0.0025569,"domain_scores_codex":[0.9998875,0.00001438569,0.000006454855,0.00004077785,0.00003381844,0.00001702325],"domain_scores_gemma":[0.9999371,0.00001562397,0.00001742909,0.000004829817,0.00001854042,0.000006454794],"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":[0.00004794331,0.000006041689,0.0004028244,0.000007629948,0.00000227669,0.000007526486,0.00001757852,0.00006329398,0.9986379,0.00001611052,0.000009502844,0.0007814717],"study_design_scores_gemma":[0.000002506362,0.00007119165,0.0019369,0.000001088566,0.000005219086,0.00002167092,0.00001718665,0.001491265,0.9961686,0.00001260329,0.0002691145,0.000002749787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969612,0.0001851429,0.002390309,0.00002741279,0.000005902527,0.000005716687,0.00007744875,0.00002972698,0.0003171059],"genre_scores_gemma":[0.9964233,0.0001887556,0.001971868,0.00001715577,0.000003318377,0.000008507993,0.00006312732,0.000005829607,0.001318179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002192098,"threshold_uncertainty_score":0.004358649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824698271473619,"score_gpt":0.2749771748349783,"score_spread":0.2467301921202421,"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."}}