{"id":"W4243877209","doi":"10.1016/s0958-2118(07)70012-5","title":"Acquisition strengthens GL&amp;V Water Treatment Group","year":2007,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Engineering; Sewage treatment; Business; Group (periodic table); Water treatment; Waste management; Operations management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002210982,0.0007202287,0.0005107226,0.001466035,0.003707545,0.002928056,0.001580196,0.002996816,0.3195661],"category_scores_gemma":[0.004685606,0.0005364527,0.0004725393,0.0005687591,0.0006936643,0.001720063,0.002273148,0.002763511,0.1033283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003873978,"about_ca_system_score_gemma":0.02324118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02446702,"about_ca_topic_score_gemma":0.04336927,"domain_scores_codex":[0.9960145,0.0002283616,0.00008870079,0.0004795035,0.002399861,0.0007891312],"domain_scores_gemma":[0.990104,0.0003031102,0.0003704509,0.0006388428,0.004940664,0.003642746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005303252,0.000491484,0.00320809,0.0001344502,0.00001111339,0.0006002645,0.0001753417,0.000101871,0.01035932,0.006603678,0.8267453,0.1510388],"study_design_scores_gemma":[0.00008353784,0.0002701796,0.00401012,0.00003217646,0.000005593276,0.0003596348,0.0001291918,0.0002327157,0.00301965,0.0003932889,0.9914511,0.00001287052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02782373,0.0009034258,0.003526738,0.0404193,0.00472771,0.00203897,0.005725435,0.003084327,0.9117503],"genre_scores_gemma":[0.02903976,0.00016944,0.00104624,0.002667206,0.0005134388,0.0001571533,0.001993036,0.0001896368,0.9642241],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3195661,"threshold_uncertainty_score":0.9705563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385018722107178,"score_gpt":0.2533507892886132,"score_spread":0.2395006020675414,"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."}}