{"id":"W1971693907","doi":"10.2202/1542-6580.1153","title":"A Parametric Study of the Oxygen Elimination Process in a Packed Bed","year":2004,"lang":"en","type":"article","venue":"International Journal of Chemical Reactor Engineering","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Packed bed; Parametric statistics; Materials science; Jet (fluid); Oxygen; Work (physics); Polymer; Polymerization; Helium; Process (computing); Nitrogen; Mechanics; Monomer; Process engineering; Chemical engineering; Nuclear engineering; Mechanical engineering; Chemistry; Composite material; Engineering; Computer science; Organic chemistry; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647734,0.00006731263,0.00012767,0.0001593874,0.000002646966,0.00002258634,0.0004471813,0.00002838536,0.000005114597],"category_scores_gemma":[0.0004714006,0.0000482064,0.00004937523,0.0002100674,0.0000124842,0.0001319567,0.00003870247,0.0001345018,8.49379e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244053,"about_ca_system_score_gemma":0.00004462089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002165782,"about_ca_topic_score_gemma":8.824431e-7,"domain_scores_codex":[0.9989948,0.00001024279,0.0003484572,0.00006994826,0.0004897144,0.00008678694],"domain_scores_gemma":[0.9994358,0.0000892845,0.000208521,0.00006828962,0.0001659159,0.00003220853],"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":[0.00003761659,0.0002800557,0.0009533915,0.000005971671,0.0000173385,0.000008592119,0.0007811454,0.00100534,0.9966564,0.00005524468,7.988461e-7,0.0001981534],"study_design_scores_gemma":[0.0007907745,0.00005162001,0.004775893,0.0001358143,0.000009349079,0.00003589379,0.0001059121,0.0002530276,0.9936252,0.0001627021,0.000004336297,0.00004950713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993274,0.00005295295,0.00007983457,0.0001381751,0.0003296292,0.00005044167,0.000001503034,0.000007024118,0.00001308014],"genre_scores_gemma":[0.9997247,0.000001695175,0.0001778497,0.000008323187,0.0000776723,0.000002830603,3.446064e-7,0.000006218022,3.62521e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003822501,"threshold_uncertainty_score":0.19658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007578170533456127,"score_gpt":0.2492940960992298,"score_spread":0.2417159255657737,"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."}}