{"id":"W4251742884","doi":"10.1016/s1365-6937(04)00133-9","title":"AFT set to acquire optimum filtration","year":2004,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filtration (mathematics); Set (abstract data type); Mathematics; Computer science; Statistics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.002484237,0.0003848108,0.0004134667,0.001461827,0.005575416,0.007030488,0.0007989755,0.007051322,0.02884168],"category_scores_gemma":[0.01129452,0.0003865066,0.0005234922,0.0005826734,0.0009456952,0.001848681,0.001747528,0.005717627,0.005983553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008622768,"about_ca_system_score_gemma":0.02451254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1542054,"about_ca_topic_score_gemma":0.1966583,"domain_scores_codex":[0.9943886,0.0001861941,0.0001328002,0.0003206722,0.003532162,0.001439584],"domain_scores_gemma":[0.9930514,0.0003191899,0.0002979772,0.0002690926,0.004850939,0.001211484],"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":[0.0003256849,0.0001628728,0.009373689,0.00005677849,0.00003254869,0.002008757,0.000637201,0.0003532764,0.005982669,0.1207577,0.7785356,0.0817733],"study_design_scores_gemma":[0.00006103169,0.0002067943,0.01463499,0.00006957182,0.00001820884,0.001047218,0.0003467628,0.001117997,0.002741848,0.004730236,0.974979,0.00004636631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08515885,0.002854418,0.008106549,0.119804,0.0066347,0.0004313357,0.001709725,0.001180196,0.7741202],"genre_scores_gemma":[0.2179068,0.0006353873,0.006554395,0.01888737,0.001523891,0.00008064297,0.0009610666,0.0001934441,0.7532569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1542054,"threshold_uncertainty_score":0.3066156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123642490657801,"score_gpt":0.3730889138932556,"score_spread":0.3318524889866776,"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."}}