{"id":"W4320083762","doi":"10.5821/conference-9788412322262.1167","title":"Promoting lab engagement in experimental compressible flow modelling","year":2022,"lang":"en","type":"article","venue":"","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic jump; Compressible flow; Supersonic speed; Compressibility; Nozzle; Choked flow; Mechanical engineering; Flow (mathematics); Mechanics; Engineering; Computer science; Aerospace engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009255075,0.00117845,0.0008133883,0.0007456999,0.001219109,0.002436999,0.002688015,0.001674626,0.01187343],"category_scores_gemma":[0.01264208,0.0004731951,0.0006950192,0.000727765,0.001783316,0.002863982,0.00554737,0.002331466,0.004370475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000906273,"about_ca_system_score_gemma":0.001799833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003087057,"about_ca_topic_score_gemma":0.0005703442,"domain_scores_codex":[0.9947628,0.003027105,0.0001438078,0.0006377513,0.000901186,0.000527329],"domain_scores_gemma":[0.9896985,0.003894757,0.0005051395,0.003137012,0.001280522,0.001484048],"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":[0.00370789,0.01609099,0.01427829,0.002514622,0.0001296893,0.002382354,0.01004504,0.0517975,0.3999462,0.06920639,0.0165379,0.4133631],"study_design_scores_gemma":[0.001207734,0.01738011,0.01313835,0.001186148,0.0002583134,0.001210168,0.009975067,0.1549995,0.3877344,0.08647374,0.3259925,0.0004439513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2921529,0.0005235586,0.6605045,0.002732496,0.000435247,0.002400593,0.0008266338,0.003080578,0.03734358],"genre_scores_gemma":[0.5710234,0.0007934325,0.4123623,0.0005525158,0.0002345213,0.005406964,0.0008637696,0.0006104703,0.008152639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187343,"threshold_uncertainty_score":0.04894614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997821131167875,"score_gpt":0.2294382338294971,"score_spread":0.2094600225178184,"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."}}