{"id":"W1985764527","doi":"10.2166/wst.2012.207","title":"Liquid–gas partitioning of selected volatile organic sulfur compounds in anaerobically digested sludges","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; EnviroSim (Canada)","funders":"","keywords":"Chemistry; Sulfur; Dimethyl disulfide; Dimethyl sulfide; Anaerobic digestion; Hydrogen sulfide; Environmental chemistry; Sulfide; Organic chemistry; Methane","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003522077,0.0001589629,0.0002964945,0.0008676568,0.0001062665,0.00001851477,0.0007303241,0.0002769065,0.00009123323],"category_scores_gemma":[0.0005355211,0.0001191238,0.00002907548,0.002701531,0.0006587349,0.0003482122,0.0003525302,0.0003663474,0.00003389546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169879,"about_ca_system_score_gemma":0.00004944651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002167967,"about_ca_topic_score_gemma":0.00001372042,"domain_scores_codex":[0.9982657,0.00001171815,0.0003704633,0.0002938075,0.0002163583,0.0008419967],"domain_scores_gemma":[0.9992595,0.00003559924,0.00006327437,0.0004113988,0.0001504064,0.00007981199],"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":[0.00001304026,0.00005960676,0.02158814,0.000008538691,0.000003630242,0.000001846151,0.0002069601,0.00005672395,0.9762446,0.001276797,0.00001925234,0.0005208279],"study_design_scores_gemma":[0.0002754138,0.0001060938,0.002219642,0.00003347517,0.000005599406,0.00001241639,0.0001513378,0.001516921,0.994652,0.0004256025,0.0004416049,0.0001599012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956158,0.0001165624,0.001561546,0.001258821,0.0001223366,0.0001022164,0.000001437321,0.0008184878,0.0004028049],"genre_scores_gemma":[0.9988116,0.0000098032,0.001042709,0.00001849469,0.00001769839,0.00002130289,0.000003949456,0.00001463751,0.00005979685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193685,"threshold_uncertainty_score":0.4857726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851584165750224,"score_gpt":0.2281575504709119,"score_spread":0.2183059663051617,"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."}}