{"id":"W2090449760","doi":"10.1007/bf03181734","title":"Enhanced visualization methods for interpretation of wind tunnel data","year":2003,"lang":"en","type":"article","venue":"Journal of Visualization","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Boeing (Canada)","funders":"","keywords":"Visualization; Interpretation (philosophy); Wind tunnel; Computer science; Data visualization; Geology; Marine engineering; Aerospace engineering; Data mining; Engineering","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":[0.001339825,0.0009636336,0.0007408603,0.001666347,0.0003825801,0.002350911,0.001018188,0.0007935695,0.007147409],"category_scores_gemma":[0.005660553,0.0005700554,0.0006441502,0.001111215,0.0003550833,0.001609476,0.001544709,0.00146041,0.0007643292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261612,"about_ca_system_score_gemma":0.000521604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460857,"about_ca_topic_score_gemma":0.001602251,"domain_scores_codex":[0.9995064,0.0002174729,0.00004631321,0.00004302022,0.0001519106,0.00003483837],"domain_scores_gemma":[0.9967712,0.002031201,0.0001440831,0.0003933075,0.0005590576,0.0001011321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009393133,0.0002691043,0.002089121,0.001114874,0.0002850685,0.0008096441,0.001375207,0.08063242,0.1403694,0.02827599,0.0195218,0.724318],"study_design_scores_gemma":[0.0001488463,0.00008601083,0.001636734,0.0001445353,0.00008684445,0.0005891916,0.0002193797,0.9111053,0.04272022,0.0222932,0.02087539,0.00009427506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01196788,0.0003730427,0.981556,0.0001514708,0.0000656286,0.0000477814,0.000287464,0.004898656,0.0006521315],"genre_scores_gemma":[0.1325365,0.0006867382,0.8631855,0.00006350033,0.00006759085,0.0001632506,0.0005927482,0.001314271,0.001389911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007147409,"threshold_uncertainty_score":0.02391046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353488724622881,"score_gpt":0.392299704263834,"score_spread":0.3587648170176052,"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."}}