{"id":"W2998053728","doi":"10.2514/6.2020-0311","title":"Design and Testing of 3-D Riblets","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017575,0.0005345984,0.0003663532,0.0004246878,0.0002795721,0.0005909658,0.001229399,0.001113697,0.002839246],"category_scores_gemma":[0.002220714,0.0004379153,0.0005379097,0.0002564956,0.0004559607,0.0004786441,0.0007058817,0.0005382749,0.001035613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002646367,"about_ca_system_score_gemma":0.0004180109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711257,"about_ca_topic_score_gemma":0.0004497373,"domain_scores_codex":[0.998982,0.000139712,0.00006796281,0.0001683699,0.0005031402,0.0001387639],"domain_scores_gemma":[0.998032,0.0003831985,0.0002612758,0.0006166592,0.0005058503,0.0002010075],"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":[0.0008226263,0.0007376181,0.009105232,0.0007379477,0.00007744168,0.001570184,0.0004590403,0.2590592,0.6489468,0.004770748,0.002910049,0.07080302],"study_design_scores_gemma":[0.0002297767,0.007142603,0.01811355,0.0001062367,0.00006753612,0.0008005051,0.0002386332,0.3539588,0.5906503,0.001294578,0.02721521,0.0001823134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771323,0.0002888238,0.2060383,0.0002084626,0.0003342777,0.0009193132,0.001396451,0.002515356,0.01116675],"genre_scores_gemma":[0.8557802,0.0001668281,0.1382216,0.0001293897,0.00002071772,0.0005131572,0.0007096527,0.0001928545,0.004265614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002839246,"threshold_uncertainty_score":0.009498179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886440951718335,"score_gpt":0.2382534548163168,"score_spread":0.1993890452991334,"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."}}