{"id":"W2071346135","doi":"10.5004/dwt.2010.1111","title":"Dow™ EDI Modules perform well at bioenergy combines in Scandinavia","year":2010,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Bioenergy; Boiler (water heating); Process engineering; Ion exchange; Environmental science; Waste management; Power consumption; Computer science; Engineering; Chemistry; Ion; Biofuel; Power (physics); Physics","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":[0.00007899795,0.0001406293,0.0001238943,0.0001596159,0.00006115481,0.00003332745,0.000038237,0.00008031749,0.0002334332],"category_scores_gemma":[0.000001522226,0.0000979281,0.0000251648,0.00005289372,0.00002660017,0.0001383741,0.00001410634,0.00004974759,0.00005631762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106846,"about_ca_system_score_gemma":0.000003032333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008758627,"about_ca_topic_score_gemma":0.0002817052,"domain_scores_codex":[0.9994305,0.00001217967,0.0001703015,0.0001399331,0.00008299645,0.0001640454],"domain_scores_gemma":[0.9997658,0.00001207526,0.00001350134,0.0001288623,0.00002422698,0.00005558816],"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":[0.0001269314,0.0006018628,0.03119842,0.0001610604,0.0001119366,0.0000409412,0.003369876,0.003039965,0.8898534,0.01297936,0.002592953,0.05592334],"study_design_scores_gemma":[0.0009061304,0.00008864071,0.003138371,0.000008778262,0.000008382749,0.000008221931,0.00001430022,0.01845042,0.954136,0.0003142103,0.02277812,0.0001484413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971454,0.00004701612,0.0001817781,0.0002379701,0.0001997896,0.0001690892,0.000006664075,0.0002277207,0.00178455],"genre_scores_gemma":[0.9979891,0.0001684387,0.0005450819,0.00003837474,0.00004135534,0.00009815228,0.0001765096,0.00001768569,0.000925327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06428262,"threshold_uncertainty_score":0.3993392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006944413722417151,"score_gpt":0.2167304116688165,"score_spread":0.2097859979463993,"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."}}