{"id":"W4224227769","doi":"10.3390/mi13040585","title":"Development of an Electromagnetic Micromanipulator Levitation System for Metal Additive Manufacturing Applications","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Levitation; Micromanipulator; Magnetic levitation; Electromagnetic coil; Mechanical engineering; Engineering; Concentric; Magnetic field; Electrodynamic suspension; Materials science; Magnet; Electrical engineering; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003170572,0.0004096114,0.0003388647,0.0003300158,0.0004159416,0.0003662425,0.0006688696,0.0006489615,0.001576359],"category_scores_gemma":[0.0002780066,0.0002577035,0.0003000125,0.0002559103,0.0001998021,0.0005613112,0.0003464327,0.0004627892,0.001128774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975541,"about_ca_system_score_gemma":0.0006131343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005498139,"about_ca_topic_score_gemma":0.000893968,"domain_scores_codex":[0.9996804,0.00002456096,0.00002018265,0.00005616893,0.0001845905,0.00003414422],"domain_scores_gemma":[0.9998268,0.00002095717,0.00003119099,0.00001473903,0.00008756353,0.00001868518],"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":[0.00003837496,0.0000488011,0.0002268914,0.0002183716,0.000009961174,0.0001643339,0.00007179512,0.001751102,0.9578177,0.001297107,0.000809973,0.0375456],"study_design_scores_gemma":[0.00002616801,0.0008474931,0.001857143,0.00002493852,0.00002756506,0.0006213693,0.00004042605,0.02123892,0.9423465,0.0001892859,0.03273236,0.00004793136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.264058,0.002385622,0.7027404,0.001076762,0.0004135361,0.0008782402,0.0003322929,0.003252763,0.02486251],"genre_scores_gemma":[0.45366,0.0009378969,0.5279033,0.0002283477,0.00007855644,0.0003708022,0.0003263878,0.0001207884,0.01637389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001576359,"threshold_uncertainty_score":0.005273461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009271459953021635,"score_gpt":0.2170630128083492,"score_spread":0.2077915528553276,"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."}}