{"id":"W4231892722","doi":"10.1016/s1365-6937(18)30263-6","title":"Porvair sees strong order intake in Q3","year":2018,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Order (exchange); Aerospace; Filtration (mathematics); Environmental science; Engineering; Aeronautics; Mathematics; Business; Geography; Statistics; Aerospace engineering; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001028953,0.0001262639,0.0001377442,0.0001410337,0.00005399392,0.00004771275,0.00009571292,0.0002796838,0.0007003188],"category_scores_gemma":[0.00002155699,0.0001338711,0.0000312064,0.0006438659,0.00004052441,0.0002128588,0.00001157476,0.0003984922,0.00009262755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006835151,"about_ca_system_score_gemma":0.00003154117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006978495,"about_ca_topic_score_gemma":0.00102459,"domain_scores_codex":[0.9992532,0.00001815879,0.0002691711,0.0001474261,0.0001163272,0.0001957366],"domain_scores_gemma":[0.9996486,0.00001306027,0.00002755689,0.0001911273,0.00005855047,0.00006110836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004447138,0.0002038425,0.51813,0.00008368018,0.0002965739,0.00005353552,0.002093765,0.3849935,0.02068071,0.008281359,0.05567375,0.009464805],"study_design_scores_gemma":[0.0004702031,0.00006772349,0.1055575,0.00004703578,0.00003218377,0.00001196005,0.0006689582,0.8703905,0.003099749,0.0001309449,0.01905097,0.0004722626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702959,0.00003318864,0.007091404,0.00009579102,0.0003197446,0.00008814973,0.00002351734,0.0001563655,0.02189592],"genre_scores_gemma":[0.9985462,0.000005417786,0.0003599008,0.00004579872,0.000386918,0.000008989971,0.00007480855,0.0000176148,0.0005543223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.485397,"threshold_uncertainty_score":0.7668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135318973892074,"score_gpt":0.2398707866738476,"score_spread":0.2285175969349269,"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."}}