{"id":"W7132511933","doi":"","title":"Bell 412 system identification: comparing methods and tools","year":2019,"lang":"en","type":"article","venue":"NPARC","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); System identification; Point (geometry); Flight test; Data modeling; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009612397,0.00105484,0.0008793331,0.00449269,0.0006142412,0.002135485,0.001295891,0.001316511,0.004010331],"category_scores_gemma":[0.02307222,0.000432414,0.0008972474,0.002342963,0.0005661662,0.002450592,0.001991983,0.000938758,0.001354619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523136,"about_ca_system_score_gemma":0.000954557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004530279,"about_ca_topic_score_gemma":0.00258619,"domain_scores_codex":[0.9917556,0.003188305,0.000652472,0.0007828611,0.003351068,0.0002697316],"domain_scores_gemma":[0.9846039,0.01026849,0.0004284803,0.001683598,0.002848011,0.0001674241],"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":[0.001489551,0.0003291681,0.009348134,0.002377294,0.0007879425,0.0001444484,0.0007112669,0.1238038,0.005247174,0.0163708,0.005878648,0.8335117],"study_design_scores_gemma":[0.0004093261,0.002683951,0.04006416,0.001690496,0.0007398074,0.0008363305,0.002371722,0.8243093,0.0249955,0.02816148,0.07326126,0.0004766867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1256283,0.02640192,0.804032,0.001058397,0.0006756704,0.0007640506,0.001698726,0.007835007,0.0319059],"genre_scores_gemma":[0.5022925,0.009498452,0.4791786,0.0002522027,0.0001722899,0.0006449055,0.002417442,0.001152737,0.004390962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009612397,"threshold_uncertainty_score":0.05083585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673960927022375,"score_gpt":0.2630013476842865,"score_spread":0.2462617384140628,"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."}}