{"id":"W1614010799","doi":"10.1023/a:1022119909546","title":"Drag Partition for Regularly-Arrayed Rough Surfaces","year":2003,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drag; Surface roughness; Wind tunnel; Surface finish; Roughness length; Shear stress; Drag coefficient; Mechanics; Partition (number theory); Surface stress; Shear (geology); Materials science; Wind speed; Geology; Geotechnical engineering; Mathematics; Physics; Surface (topology); Meteorology; Geometry; Wind profile power law; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000740625,0.0002288286,0.0003322795,0.00007135714,0.000451953,0.0001279504,0.0002037152,0.00020362,0.002457492],"category_scores_gemma":[0.0002602894,0.0001896422,0.0001174139,0.0002111828,0.0002097346,0.0003577758,0.000007012548,0.0001433801,0.0003275955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007293682,"about_ca_system_score_gemma":0.0001600214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003320829,"about_ca_topic_score_gemma":0.00150949,"domain_scores_codex":[0.9982069,0.0002252618,0.0002857175,0.0004517298,0.0001823215,0.0006481022],"domain_scores_gemma":[0.999032,0.0003352766,0.000121955,0.0002633113,0.00008567453,0.0001618509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003936173,0.0004877655,0.6002912,0.001228075,0.00102711,0.0002610919,0.003494992,0.05005835,0.007426282,0.0569969,0.1256389,0.1491532],"study_design_scores_gemma":[0.001725526,0.001526992,0.07094275,0.00001535235,0.0001153153,0.0001381706,0.0001365333,0.01486719,0.004010655,0.07488889,0.8310118,0.0006208163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690048,0.003724608,0.009975858,0.001142044,0.001601363,0.0006406826,0.0001157503,0.0001401796,0.01365478],"genre_scores_gemma":[0.9925505,0.00005275967,0.005012187,0.0009863332,0.0001458421,0.00001709847,0.0001611023,0.00001117657,0.001063019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7053729,"threshold_uncertainty_score":0.9984544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087498266565437,"score_gpt":0.2412719051214914,"score_spread":0.220396922455837,"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."}}