{"id":"W2746711239","doi":"10.13034/jsst.v10i1.129","title":"A Parametric Study Of The Parameters Governing Flow Incidence Angle Tolerance For Turbomachine Blades","year":2017,"lang":"en","type":"article","venue":"Journal of Student Science and Technology","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbomachinery; Mathematics; Blade (archaeology); Turbine blade; Geometry; Physics; Humanities; Structural engineering; Engineering; Mechanical engineering; Turbine; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000512927,0.00008240108,0.0001884389,0.0002873693,0.0003809098,0.00007949778,0.0008937595,0.00004186845,6.776602e-7],"category_scores_gemma":[0.0003185295,0.0000525076,0.00002827913,0.0005229868,0.0003245572,0.0004792332,0.0001425188,0.0001764695,2.122022e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004482585,"about_ca_system_score_gemma":0.00003326253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005120962,"about_ca_topic_score_gemma":0.00001920698,"domain_scores_codex":[0.9991085,0.00000536038,0.0002665686,0.0001007789,0.0003643679,0.0001544342],"domain_scores_gemma":[0.9991585,0.00003458153,0.0003112392,0.0002687152,0.0001995233,0.00002745345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001729827,0.0001370852,0.8628818,0.00002578097,0.00003706657,0.000003998473,0.0007244246,0.1090256,0.004487093,0.00004910362,0.00005221395,0.02255844],"study_design_scores_gemma":[0.001241832,0.0009050487,0.7989107,0.00008274593,0.00004706464,0.00005550237,0.001141016,0.1915241,0.005637323,0.000225478,0.00009364209,0.0001354814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983227,0.0002691124,0.0006368521,0.0001804962,0.0003482591,0.0001945676,0.000001368363,0.00001471067,0.00003199003],"genre_scores_gemma":[0.9977959,0.0001127585,0.002041624,0.00001207088,0.00002099451,0.000006176973,3.363096e-8,0.000005025833,0.000005438607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08249845,"threshold_uncertainty_score":0.2929689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169901855027528,"score_gpt":0.2681923521590012,"score_spread":0.2564933336087259,"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."}}