{"id":"W4251007538","doi":"10.1016/s1365-6937(16)30012-0","title":"SMS Equipment partners with Pall","year":2016,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartridge; Filtration (mathematics); Filter (signal processing); Business; Chromatography; Engineering; Chemistry; Mathematics; Statistics; Electrical engineering; Mechanical engineering","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":[0.002222725,0.00180995,0.0004460491,0.002491247,0.003473731,0.003774354,0.001515921,0.001888484,0.4054016],"category_scores_gemma":[0.004477961,0.0009499708,0.0005935837,0.002330987,0.0006444781,0.002718125,0.002965787,0.002232613,0.1908593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003816279,"about_ca_system_score_gemma":0.01250253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.136502,"about_ca_topic_score_gemma":0.1598461,"domain_scores_codex":[0.9962783,0.0003254177,0.0001318895,0.0005348729,0.002122882,0.0006064136],"domain_scores_gemma":[0.9902148,0.0005008943,0.0003461031,0.0005256237,0.005838601,0.002573926],"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":[0.000557423,0.0005193946,0.004863886,0.0004077094,0.00001894245,0.0006443617,0.0008331286,0.000202039,0.009083044,0.009030215,0.7186103,0.2552296],"study_design_scores_gemma":[0.00002505297,0.00009350516,0.001862381,0.00004670131,0.000008091228,0.0002713207,0.0003796712,0.0002451669,0.002697332,0.0002192537,0.9941385,0.0000130144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01062608,0.001355721,0.01408921,0.007094521,0.001598418,0.001020507,0.006523375,0.01058329,0.9471089],"genre_scores_gemma":[0.02035234,0.0004306193,0.007973638,0.001032193,0.0001510913,0.00012521,0.005972782,0.0009489961,0.9630132],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4054016,"threshold_uncertainty_score":0.8481225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063495537667019,"score_gpt":0.2667212260503487,"score_spread":0.2460862706736785,"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."}}