{"id":"W2733198448","doi":"10.4050/f-0073-2017-12028","title":"The 505 Low Vibration Solution","year":2017,"lang":"en","type":"article","venue":"","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Vibration; Computer science; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006917588,0.0007425433,0.0003173048,0.0008760109,0.0007582205,0.001252213,0.001373209,0.001375123,0.06926059],"category_scores_gemma":[0.0008629173,0.0004328161,0.0003180717,0.0002669847,0.0004636194,0.0008702882,0.001040776,0.0008145793,0.02121171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006372617,"about_ca_system_score_gemma":0.0007338536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369265,"about_ca_topic_score_gemma":0.002442676,"domain_scores_codex":[0.9987448,0.00008452922,0.00004509162,0.0002324116,0.000754175,0.0001389232],"domain_scores_gemma":[0.9996631,0.00003242114,0.00003917388,0.00005205399,0.0001591689,0.0000539519],"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":[0.0004564357,0.0002488647,0.001144592,0.0007254633,0.00002128013,0.0004400239,0.0005725956,0.00232757,0.4436173,0.03606333,0.04094168,0.4734409],"study_design_scores_gemma":[0.0002061818,0.003458795,0.004361701,0.0002449736,0.00007882676,0.002025233,0.0003659297,0.01234222,0.1898262,0.002866225,0.7841148,0.0001087972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1603979,0.002475863,0.3344317,0.001289013,0.001234387,0.001150262,0.001253344,0.01064171,0.4871258],"genre_scores_gemma":[0.4540283,0.0006729934,0.13583,0.001061059,0.0001229438,0.0004768271,0.001796911,0.0009488077,0.405062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06926059,"threshold_uncertainty_score":0.2316998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087804529226778,"score_gpt":0.2393514792343815,"score_spread":0.2284734339421138,"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."}}