{"id":"W2313897792","doi":"10.3183/npprj-2008-23-04-p420-425","title":"Wood pulp based filters for removal of sub-micrometer aerosol particles","year":2008,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerosol; Pulp (tooth); Pulp and paper industry; Micrometer; Materials science; Industrial chemistry; Composite material; Chemistry; Biochemical engineering; Engineering; Mechanical engineering; Organic chemistry; Dentistry","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":[0.0002163346,0.0003105534,0.0003571036,0.0002519269,0.0004164056,0.0004153041,0.0002975766,0.000393464,0.001413068],"category_scores_gemma":[0.000188744,0.0001754419,0.0003477703,0.0001054595,0.0001274065,0.0003529147,0.0001789595,0.0004033127,0.0004661455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718279,"about_ca_system_score_gemma":0.0003129617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252421,"about_ca_topic_score_gemma":0.004956557,"domain_scores_codex":[0.9998192,0.00001677347,0.000009924068,0.00003657864,0.00007085987,0.00004660911],"domain_scores_gemma":[0.9998438,0.00005960883,0.00001764351,0.000006937914,0.00005059409,0.0000214044],"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":[0.00007655009,0.00003900765,0.0002601282,0.00007998713,0.000007965353,0.00003584821,0.00002931448,0.00008972302,0.991528,0.00005716728,0.0001054328,0.007690755],"study_design_scores_gemma":[0.000002860582,0.0001331632,0.001570946,0.000003712001,0.00001356057,0.00006131279,0.00002392694,0.0006902455,0.9965681,0.00001441458,0.0009140387,0.00000371657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745272,0.00388359,0.01782011,0.00009241457,0.0001221981,0.00005815094,0.0001248211,0.0001846669,0.003186838],"genre_scores_gemma":[0.9762583,0.001835296,0.01146892,0.00009690526,0.00003336848,0.00002452,0.0001843131,0.00002870464,0.0100696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00252421,"threshold_uncertainty_score":0.005019009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06144467344798034,"score_gpt":0.31222824942483,"score_spread":0.2507835759768496,"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."}}