{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856988,0.0002873534,0.0002227408,0.0001754624,0.0002509204,0.0002248417,0.0003093749,0.0003726056,0.01223618],"category_scores_gemma":[0.0001324225,0.00009221592,0.0001012431,0.0001228202,0.0001803127,0.0003066097,0.0001859864,0.0001948063,0.00199256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244274,"about_ca_system_score_gemma":0.0002436792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003453348,"about_ca_topic_score_gemma":0.001892388,"domain_scores_codex":[0.9999371,0.000004225864,0.000001929719,0.00001412454,0.00003696374,0.000005783937],"domain_scores_gemma":[0.999959,0.000006923035,0.000005065092,0.000004551457,0.0000161779,0.000008262888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002533563,0.00005466401,0.0004950872,0.0002757995,0.000008721538,0.0001691752,0.0000537421,0.001749242,0.8522337,0.007452432,0.009706159,0.1275479],"study_design_scores_gemma":[0.0001016884,0.001833681,0.01263123,0.0001155271,0.0000432834,0.001278639,0.000169206,0.1041907,0.4175101,0.004422604,0.457652,0.00005136086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4209669,0.007360187,0.3024238,0.002347965,0.002560647,0.0002888372,0.0005657145,0.002314618,0.2611713],"genre_scores_gemma":[0.6177287,0.00171195,0.1025615,0.0004955682,0.0002241121,0.0001009725,0.0006275752,0.0001434616,0.2764062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01223618,"threshold_uncertainty_score":0.04093409,"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."}}