{"id":"W4246399131","doi":"10.1016/s0958-2118(13)70192-7","title":"BluMetric signs agreement to represent LG Electronics' water and wastewater treatment membranes in Canada","year":2013,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Wastewater; Electronics; Sewage treatment; Engineering; Membrane; Water treatment; Environmental engineering; Environmental science; Electrical engineering; Law; Political science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001232977,0.0003474658,0.0004574654,0.001090341,0.00004974534,0.00003684413,0.000271058,0.0001837893,0.0007761389],"category_scores_gemma":[0.00002040377,0.0002705624,0.00003494944,0.0006760233,0.00003938345,0.000122755,0.00008757629,0.0002162998,0.0001697452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060446,"about_ca_system_score_gemma":0.0001062228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1717076,"about_ca_topic_score_gemma":0.3126239,"domain_scores_codex":[0.997995,0.00003829085,0.0005058597,0.0004630139,0.0002250917,0.0007727781],"domain_scores_gemma":[0.9991024,0.00004554259,0.0000288366,0.0006290658,0.00004829229,0.0001459354],"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":[0.00001585014,0.00005103715,0.0008004985,0.0001104532,0.00006710036,0.00004910666,0.0001949356,0.005927905,0.9795914,0.0001447753,0.00155975,0.01148713],"study_design_scores_gemma":[0.0005328962,0.0002362297,0.00009122745,0.00001421246,0.00001196084,0.00002781295,0.0001285915,0.002868711,0.9697948,0.0002579739,0.02570075,0.0003348124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927909,0.0006521321,0.0001608308,0.003477217,0.0001234837,0.00121079,0.00000568875,0.000611269,0.0009676439],"genre_scores_gemma":[0.9971118,0.0005275827,0.0006021027,0.0001592142,0.00002167299,0.0009005113,0.00002218701,0.00004898221,0.0006059383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409163,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007688880359678374,"score_gpt":0.2035267944110981,"score_spread":0.1958379140514197,"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."}}