{"id":"W4390785841","doi":"","title":"200N Moving Iron Actuator, for high dynamics, and high efficiency, industrial applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Actuator; Computer science; Dynamics (music); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005698903,0.00008700107,0.00008682743,0.00005183603,0.00006585314,0.00001547551,0.00006630915,0.00008053848,0.00003016965],"category_scores_gemma":[0.00003119449,0.00006526153,0.00001327214,0.00005975668,0.00002667313,0.00009070146,0.00001776931,0.00004627606,0.000003028647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005814688,"about_ca_system_score_gemma":0.000007196861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001221958,"about_ca_topic_score_gemma":0.000007249128,"domain_scores_codex":[0.9995689,0.000003659247,0.0001216815,0.000129178,0.00004426435,0.0001323423],"domain_scores_gemma":[0.9996913,0.0001016126,0.00002108031,0.0001220703,0.00002172186,0.00004223387],"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":[0.00001625145,0.00003391596,0.0002797419,0.0000408518,0.00001863108,2.310097e-7,0.00004500768,0.01553224,0.003379503,0.2010078,0.003048937,0.7765969],"study_design_scores_gemma":[0.006454965,0.0004389439,0.0006415587,0.0002073348,0.0001087988,0.000009564909,0.0001712685,0.8113862,0.1061617,0.04619525,0.02614528,0.002079127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005963565,0.00002526849,0.991852,0.0001466105,0.00007853164,0.0002858708,0.00004259991,0.0007726484,0.0008328875],"genre_scores_gemma":[0.9197584,0.00007948696,0.07898637,0.00002150522,0.00009245447,0.0001586334,0.00002040921,0.00002718764,0.0008555506],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9137948,"threshold_uncertainty_score":0.2661288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007174703824615642,"score_gpt":0.2194615158849094,"score_spread":0.2122868120602938,"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."}}