{"id":"W4403121690","doi":"10.4050/f-0072-2016-11429","title":"The Bell 525's Smooth Ride","year":2016,"lang":"en","type":"article","venue":"","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Computer science","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":[0.000437832,0.0005381264,0.0002262785,0.0003485793,0.001642584,0.001177118,0.0005660467,0.0006869134,0.07471382],"category_scores_gemma":[0.0005771311,0.000243541,0.0002640779,0.0001198125,0.0003523691,0.000508204,0.001146661,0.0008145707,0.01611373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009144673,"about_ca_system_score_gemma":0.001307877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02633076,"about_ca_topic_score_gemma":0.07863235,"domain_scores_codex":[0.9997037,0.00001805911,0.000006079498,0.00005761613,0.0001491774,0.000065341],"domain_scores_gemma":[0.9997049,0.00001121424,0.00000738884,0.00002895312,0.0001327067,0.0001147447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009179355,0.0003164553,0.007993711,0.0002161289,0.0000336822,0.0008142127,0.0009939121,0.002046825,0.03795803,0.01564621,0.4811694,0.4518934],"study_design_scores_gemma":[0.0001379396,0.001767507,0.02562582,0.0000980476,0.00003270899,0.0007219121,0.0008331089,0.005497164,0.005270552,0.0008098383,0.9591236,0.00008202784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1790425,0.0009694445,0.0308394,0.003665576,0.001956803,0.0005247356,0.001687463,0.005986357,0.7753276],"genre_scores_gemma":[0.3292116,0.0003610622,0.02091449,0.0009881455,0.0001128431,0.00008922558,0.00199565,0.0004432184,0.6458838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07471382,"threshold_uncertainty_score":0.2499427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009011509260216623,"score_gpt":0.2134952510147358,"score_spread":0.2044837417545191,"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."}}