{"id":"W38172519","doi":"10.1038/s41531-023-00602-0","title":"Power flow analysis and applications to ship vibration and controls","year":2005,"lang":"en","type":"article","venue":"npj Parkinson s Disease","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs; National Institute of Neurological Disorders and Stroke; U.S. Department of Health and Human Services","keywords":"Flow (mathematics); Power (physics); Marine engineering; Vibration; Computer science; Environmental science; Engineering; Acoustics; Mechanics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001013499,0.0007788735,0.0004925763,0.001564372,0.0002795404,0.0008903068,0.0004856993,0.0006462474,0.004539095],"category_scores_gemma":[0.005285785,0.000287091,0.00061466,0.001019053,0.0002963213,0.0005528177,0.0005579505,0.0005962171,0.0006154763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617413,"about_ca_system_score_gemma":0.0004484004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353916,"about_ca_topic_score_gemma":0.002070869,"domain_scores_codex":[0.9996725,0.00008429847,0.00003196019,0.0001018095,0.00008673815,0.00002264098],"domain_scores_gemma":[0.9991916,0.0004597385,0.00007508117,0.00007068563,0.0001710182,0.00003195277],"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":[0.0004586703,0.0001435965,0.008510415,0.0002889731,0.0001285065,0.0002810812,0.0002301799,0.1522767,0.01654084,0.008612676,0.004788017,0.8077404],"study_design_scores_gemma":[0.00005698647,0.0001553053,0.009473868,0.00004761879,0.00003205095,0.0002803804,0.0000613779,0.9640532,0.005530637,0.01385397,0.006410343,0.00004419375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01930607,0.0004410168,0.9763634,0.0001631342,0.0001021602,0.0001273045,0.0004177696,0.001815254,0.001263894],"genre_scores_gemma":[0.4342755,0.0008877527,0.5596449,0.000120274,0.0002975369,0.0004655563,0.001244435,0.0003535212,0.002710508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004539095,"threshold_uncertainty_score":0.01518482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005490015931966096,"score_gpt":0.2160848691716445,"score_spread":0.2105948532396784,"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."}}