{"id":"W2810105318","doi":"10.1002/cjce.23292","title":"Experimental investigation on pressure drop of a laboratory‐scale random packing column under roll and heave motion","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Collaborative Innovation Center of Major Machine Manufacturing in Liaoning; Ministry of Industry and Information Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Drop (telecommunication); Pressure drop; Mechanics; Tilt (camera); Ambient pressure; Liquid drop; Materials science; Geology; Structural engineering; Physics; Engineering; Meteorology; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170033,0.00009394039,0.0001494587,0.00008647393,0.00003908944,0.00003210472,0.0000864938,0.00006343995,0.000008526952],"category_scores_gemma":[0.0000387714,0.0000822636,0.00003337003,0.0001070839,0.00007150494,0.00007979189,0.000006348977,0.0001841095,5.496212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009972444,"about_ca_system_score_gemma":0.00005569726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551154,"about_ca_topic_score_gemma":0.00009853412,"domain_scores_codex":[0.9994721,0.000009578661,0.0002036233,0.00005528909,0.0001058351,0.0001536156],"domain_scores_gemma":[0.9995693,0.00003799563,0.00004303672,0.00007921923,0.00007106118,0.0001994015],"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":[0.00001276173,0.000003233264,0.0001015866,0.00003235976,0.00004895555,0.00000246613,0.0008666046,0.06563898,0.9327146,0.0003948185,0.0001017571,0.00008181139],"study_design_scores_gemma":[0.0006680133,0.00004634953,0.0001549889,0.000153501,0.00002436387,0.00002091885,0.00003556382,0.2695971,0.7289762,0.00008713911,0.0001343128,0.000101469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965661,0.0006927591,0.002290817,0.00007593799,0.0002209097,0.00006092282,0.00000755774,0.00001306058,0.0000719059],"genre_scores_gemma":[0.9994455,0.000002175255,0.00031191,0.00003272553,0.0001796632,0.000001378393,0.000001012461,0.00002197881,0.000003654118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2039581,"threshold_uncertainty_score":0.3354612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005817393116432587,"score_gpt":0.1727305571216267,"score_spread":0.1669131640051942,"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."}}