{"id":"W4401581597","doi":"10.1063/5.0220266","title":"Coarse-graining characterization of the room flow circulations due to a fan-array wind generator","year":2024,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Science and Technology Foundation of Shenzhen City","keywords":"Physics; Generator (circuit theory); Flow (mathematics); Granularity; Characterization (materials science); Mechanics; Aerospace engineering; Optics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000660247,0.00007877511,0.0001142505,0.00001287551,0.00008979111,0.00001597919,0.0001255694,0.00001906989,0.00007480584],"category_scores_gemma":[0.00001250716,0.0000586176,0.00007171307,0.0003460139,0.00006519313,0.0001285156,0.0000876193,0.00004664557,0.00004176603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002601783,"about_ca_system_score_gemma":0.00001238712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001800711,"about_ca_topic_score_gemma":0.000003813164,"domain_scores_codex":[0.9993902,0.0000181037,0.0001427315,0.0001480203,0.0001961398,0.0001048126],"domain_scores_gemma":[0.999753,0.0000197854,0.00002596835,0.0001627484,0.00001123519,0.00002727822],"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":[0.000001121529,0.00002576778,0.003042002,0.00001410183,0.00001757199,3.471283e-7,0.00254569,0.001520523,0.9830119,0.0003387555,0.0002710054,0.009211227],"study_design_scores_gemma":[0.0002138787,0.00008552647,0.2389657,0.0002387616,0.0000822303,0.000002265489,0.0002140274,0.03448473,0.7135754,0.002083665,0.009697313,0.0003564422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851111,0.00002464819,0.01290729,0.0005613151,0.0002518255,0.0001288198,0.00006204548,0.00001909245,0.000933885],"genre_scores_gemma":[0.9989501,0.000002911419,0.0006341912,0.00009647734,0.0001615727,0.000006522803,0.000009376226,0.00001026923,0.0001285285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2694365,"threshold_uncertainty_score":0.2390356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396469895448578,"score_gpt":0.2263064140942478,"score_spread":0.212341715139762,"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."}}