{"id":"W4281663611","doi":"10.31586/ojes.2022.296","title":"Theoretical and Experimental Analysis of Miniaturization of Conventional Oscillatory Flow Technology","year":2022,"lang":"en","type":"article","venue":"Trends journal of sciences research","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Mixing (physics); Heat transfer; Mechanics; Mass transfer; Fluidics; Pressure drop; Mechanical engineering; Flow (mathematics); Miniaturization; Materials science; Process engineering; Chemistry; Nanotechnology; Engineering; Electrical engineering; Physics","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":[0.0006233616,0.0005058263,0.0003802668,0.0005461926,0.0003071817,0.0006911281,0.0009768552,0.000652787,0.003731435],"category_scores_gemma":[0.001589727,0.0003286435,0.0005912004,0.0004855796,0.0004926444,0.000971323,0.0002879032,0.0005872667,0.0006757343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726457,"about_ca_system_score_gemma":0.0004277395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724295,"about_ca_topic_score_gemma":0.0002989011,"domain_scores_codex":[0.9996067,0.00005713779,0.00001201235,0.00007714525,0.0002104317,0.00003661362],"domain_scores_gemma":[0.9995383,0.0002339352,0.00005151942,0.00004879338,0.0001166055,0.00001090573],"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":[0.0003125934,0.0002736217,0.003785916,0.001955483,0.00005937534,0.0005514846,0.0003430404,0.2687915,0.3792362,0.2205045,0.00336653,0.1208198],"study_design_scores_gemma":[0.00003029864,0.0007188866,0.006174785,0.0001396311,0.00007759323,0.0003950258,0.0001218099,0.7832519,0.15047,0.02295002,0.03559808,0.00007183541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2193452,0.007751719,0.6698247,0.001043628,0.0002688784,0.0002957502,0.0006761183,0.000797478,0.09999658],"genre_scores_gemma":[0.9200302,0.004452663,0.06763207,0.0001085637,0.00007533094,0.0005126384,0.0005199338,0.00008156923,0.006587001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003731435,"threshold_uncertainty_score":0.01248288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497748568055508,"score_gpt":0.3766049874191374,"score_spread":0.3416275017385823,"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."}}