{"id":"W2018550573","doi":"10.2514/6.2009-5661","title":"Temperature Variation of Optical Sensors on a wing during wind tunnel tests","year":2009,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; École de Technologie Supérieure","funders":"National Research Council Canada","keywords":"Variation (astronomy); Wind tunnel; Wing; Environmental science; Aerospace engineering; Atmospheric sciences; Geology; Engineering; Physics; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001182962,0.0001829758,0.0002487422,0.00007714296,0.0000915989,0.0000681188,0.00009271925,0.0001235641,0.00000674247],"category_scores_gemma":[0.00004082465,0.0001778666,0.00004224788,0.000160999,0.00003875225,0.0001492145,0.000006069919,0.0001826291,0.00000395792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003142401,"about_ca_system_score_gemma":0.00002670897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005618032,"about_ca_topic_score_gemma":0.000003107809,"domain_scores_codex":[0.9990648,0.00002158669,0.0003249997,0.0002154158,0.000167623,0.0002056003],"domain_scores_gemma":[0.9994745,0.00006127141,0.00005128252,0.0001863468,0.0001593187,0.00006722689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009438567,0.00006628775,0.002771282,0.0001327353,0.00008363747,0.00001197812,0.0005657655,0.0895688,0.8429487,0.06103379,0.00003795152,0.002684679],"study_design_scores_gemma":[0.001655406,0.00009930431,0.7286922,0.0003689602,0.00003535657,0.000007561215,0.0000179083,0.2647724,0.001976731,0.002092823,0.00005015959,0.0002312064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964896,0.0002556955,0.0007930021,0.0002094202,0.0001440534,0.0002002687,0.00001551866,0.00009494935,0.001797423],"genre_scores_gemma":[0.9994581,0.00006287725,0.0002168535,0.00008267375,0.0000797555,0.000006026963,0.00001335054,0.00001358133,0.00006680654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8409719,"threshold_uncertainty_score":0.725319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004494296541960846,"score_gpt":0.1947690862279888,"score_spread":0.190274789686028,"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."}}