{"id":"W4398177609","doi":"10.1016/j.powtec.2024.119902","title":"Applicability of low dielectric strength gases in reducing degree of electrostatic charge generation and conveying tube fouling","year":2024,"lang":"en","type":"article","venue":"Powder Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Univation Technologies","keywords":"Argon; Fouling; Volume (thermodynamics); Nitrogen; Dielectric; Chemistry; Tube (container); Suspension (topology); Materials science; Analytical Chemistry (journal); Composite material; Chromatography; Thermodynamics; Optoelectronics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003649053,0.000389482,0.000168927,0.0002380516,0.0001624713,0.0003947577,0.0002970253,0.0004287159,0.0005861466],"category_scores_gemma":[0.0005149068,0.0001495255,0.0002661574,0.0002061807,0.0003687534,0.0005030645,0.0002172948,0.0003747628,0.0001461388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628589,"about_ca_system_score_gemma":0.0002543637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003837991,"about_ca_topic_score_gemma":0.0003935382,"domain_scores_codex":[0.9998081,0.0000477944,0.00001685732,0.00004152553,0.00005980691,0.0000259402],"domain_scores_gemma":[0.9997779,0.00007044008,0.00006599593,0.00002263409,0.00004743143,0.00001561776],"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":[0.00009375689,0.00002020541,0.0002108814,0.00009135193,0.000004712686,0.00005203682,0.00001927106,0.0001306091,0.9955778,0.0001886574,0.00002951827,0.003581116],"study_design_scores_gemma":[0.00000353183,0.0001278156,0.0003872573,0.000002510157,0.00000883235,0.00006595072,0.00001230109,0.0003577563,0.9984081,0.00002203425,0.0006017037,0.000002174893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777544,0.004128213,0.01604412,0.0002201089,0.00008806609,0.00003675141,0.00005991376,0.000102587,0.001565658],"genre_scores_gemma":[0.9865679,0.001875001,0.01016137,0.00007200193,0.00003346138,0.00001985234,0.00006317936,0.00001820958,0.001188908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005861466,"threshold_uncertainty_score":0.001960874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161829629192752,"score_gpt":0.2247663835963973,"score_spread":0.2131480873044698,"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."}}