{"id":"W6980896417","doi":"","title":"Data Trend Monitering and Level Verification - Tool to Reduce Data Storage in Full Scale Aircraft Fatigue Tests","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Full scale; Scale (ratio); Data collection; Reliability (semiconductor); Data acquisition; Computer data storage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800137,0.0008506523,0.0006485243,0.003027403,0.0006734369,0.001266695,0.00141579,0.0005857956,0.03523102],"category_scores_gemma":[0.0238783,0.0007037752,0.0003432179,0.001329519,0.0002794762,0.002291898,0.0009382202,0.000600099,0.007000958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857725,"about_ca_system_score_gemma":0.0009325485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906084,"about_ca_topic_score_gemma":0.003330969,"domain_scores_codex":[0.997812,0.0004484045,0.0002728262,0.0002004093,0.001163809,0.0001024497],"domain_scores_gemma":[0.9729346,0.009612506,0.001816773,0.004917819,0.01016215,0.0005561705],"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":[0.001581929,0.0003196469,0.02161848,0.0004737333,0.00009036914,0.0003804933,0.0005685881,0.007220714,0.04723713,0.001185686,0.08162446,0.8376988],"study_design_scores_gemma":[0.0004997384,0.001308022,0.05045035,0.0002488745,0.0002320712,0.0009396938,0.0007236611,0.4112502,0.4254562,0.002669003,0.105936,0.0002862487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1471175,0.0003221261,0.5351037,0.0008664769,0.0006532282,0.001125932,0.006632927,0.2925608,0.01561731],"genre_scores_gemma":[0.5751598,0.0001920778,0.3805898,0.0002763377,0.0001950026,0.000588001,0.005158704,0.009320005,0.02852028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03523102,"threshold_uncertainty_score":0.1178595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19093608874431,"score_gpt":0.3742603270916028,"score_spread":0.1833242383472929,"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."}}