{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122365,0.000163964,0.0002047173,0.00009907947,0.0002883493,0.00002280241,0.0001715848,0.00002490561,0.00007395766],"category_scores_gemma":[0.000002697041,0.000170394,0.00004719794,0.00006124331,0.00001498393,0.00008725061,0.0000432911,0.00006324163,0.000004096496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009709335,"about_ca_system_score_gemma":0.00002385594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005859689,"about_ca_topic_score_gemma":0.0000106462,"domain_scores_codex":[0.9992368,0.00002599561,0.000262026,0.0001896871,0.0001010149,0.0001844584],"domain_scores_gemma":[0.9996822,0.00004477698,0.00008235966,0.0001252978,0.0000294592,0.00003589327],"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":[0.00002315453,0.00003586125,0.000001424989,0.000586647,0.00006821015,8.172514e-7,0.0004781731,0.001029108,0.9858113,0.0001520463,0.00006007525,0.0117532],"study_design_scores_gemma":[0.0002309113,0.00007001168,0.0006708681,0.00001079019,0.00003189007,0.00001901997,0.0002926666,0.0003857991,0.9699388,0.00009899998,0.02805629,0.0001939574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895845,0.000200061,0.008656096,0.000004483079,0.0001504738,0.0005233106,0.0005303461,0.0002250917,0.000125614],"genre_scores_gemma":[0.9756277,0.00000200652,0.02252095,0.000006108831,0.00007822504,0.001030775,0.000654416,0.00004555694,0.00003429603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799622,"threshold_uncertainty_score":0.6948465,"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."}}