{"id":"W2334899099","doi":"10.2514/6.2005-6303","title":"Pre and Post Pilot Model Analysis Compared to Experimental Simulator Results.","year":2005,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003574365,0.0007644697,0.0004392272,0.0009535626,0.0005739464,0.001055765,0.0007775471,0.0004217005,0.01834157],"category_scores_gemma":[0.01781414,0.0002599268,0.000886545,0.0006046855,0.0005890673,0.001623704,0.0009990913,0.0009880479,0.00279557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008598243,"about_ca_system_score_gemma":0.0008043599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039618,"about_ca_topic_score_gemma":0.004785229,"domain_scores_codex":[0.996918,0.0007614901,0.000247751,0.0006211141,0.00124524,0.0002064801],"domain_scores_gemma":[0.9827558,0.007615171,0.001139897,0.002462171,0.00558165,0.0004452317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01461079,0.0101579,0.1977604,0.001616817,0.0009714911,0.001497139,0.004924346,0.02528468,0.2244062,0.005205249,0.06039852,0.4531665],"study_design_scores_gemma":[0.0004698498,0.02841805,0.6263593,0.000146672,0.0006554265,0.0008082406,0.00557952,0.08249453,0.2081551,0.003833359,0.04269586,0.0003840498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865352,0.0003694832,0.08014765,0.000469223,0.001508772,0.001405971,0.007477021,0.003331335,0.03993851],"genre_scores_gemma":[0.9774442,0.0001094767,0.01038604,0.00008119726,0.00005793186,0.0005637067,0.003921077,0.0003282405,0.007108162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01834157,"threshold_uncertainty_score":0.06135869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060880971085344,"score_gpt":0.2702408075570265,"score_spread":0.239631997846173,"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."}}