{"id":"W2767643505","doi":"10.3390/w9110872","title":"Compound-Specific Isotope Analysis (CSIA) Application for Source Apportionment and Natural Attenuation Assessment of Chlorinated Benzenes","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental chemistry; Isotope analysis; Chlorobenzene; Isotopic signature; Biodegradation; Benzene; Environmental science; Soil water; Contamination; Chemistry; Isotope; Environmental engineering; Geology; Soil science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001087537,0.0009645885,0.0006884506,0.003229372,0.0005426759,0.0008067322,0.0004671684,0.0009113564,0.001193304],"category_scores_gemma":[0.00120903,0.0004665785,0.001023215,0.00225038,0.0003512453,0.0004529762,0.0008522738,0.0007640288,0.0005174231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051539,"about_ca_system_score_gemma":0.001250216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007845824,"about_ca_topic_score_gemma":0.01665545,"domain_scores_codex":[0.9992321,0.00009111559,0.00004185695,0.0002436467,0.0003421666,0.00004920341],"domain_scores_gemma":[0.9994636,0.00008201017,0.0000837625,0.0000390034,0.000296153,0.0000354007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002247173,0.00007456325,0.01289387,0.0003065092,0.0001252892,0.0001632975,0.0001630058,0.001995416,0.9436797,0.0004330242,0.0004191364,0.03952131],"study_design_scores_gemma":[0.0000354293,0.000463568,0.04896838,0.00007827568,0.0003175458,0.0007121916,0.0004188246,0.1024401,0.8313451,0.001109675,0.01393367,0.0001772432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.611683,0.007244674,0.3562976,0.0002790218,0.0003670696,0.0005966062,0.00719419,0.002818218,0.01351965],"genre_scores_gemma":[0.7610331,0.003354837,0.2285337,0.0002596548,0.00006260462,0.0004663595,0.001605777,0.0002963324,0.004387609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007845824,"threshold_uncertainty_score":0.01560032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470552640029047,"score_gpt":0.2753725710338965,"score_spread":0.260667044633606,"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."}}