{"id":"W2885642869","doi":"10.1109/ectc.2018.00308","title":"2D Magnetic Inductors for DC-DC Converters on Glass Interposer","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inductor; Inductance; Materials science; Converters; Electrical engineering; Silicon; Magnetic core; Voltage; Optoelectronics; Interposer; Chip; Electromagnetic coil; Engineering; Nanotechnology; Layer (electronics)","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":[0.0001720529,0.0003117527,0.0002264458,0.0002693633,0.0002063178,0.0006975065,0.0005525168,0.0003871123,0.002530664],"category_scores_gemma":[0.0003118886,0.0002621656,0.0002487717,0.0003018533,0.0002289721,0.0005903361,0.0002531339,0.0003537563,0.001174385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008056958,"about_ca_system_score_gemma":0.0003396162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009763504,"about_ca_topic_score_gemma":0.004231343,"domain_scores_codex":[0.9998817,0.00001223756,0.000006984077,0.00002953821,0.00004382743,0.00002561861],"domain_scores_gemma":[0.9998409,0.00003505603,0.00003391537,0.00003788053,0.00003776576,0.00001448424],"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":[0.00005888384,0.00004306223,0.0003117169,0.0002337448,0.00001859729,0.0002152454,0.00009355744,0.002831532,0.9709353,0.006294156,0.00163748,0.01732665],"study_design_scores_gemma":[0.0000253122,0.0001351354,0.000924018,0.00001435203,0.00001777166,0.0001580416,0.00005163255,0.0151197,0.9590261,0.000754713,0.0237489,0.00002445247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6133975,0.004618681,0.3255706,0.001049696,0.001267726,0.0003792663,0.001626131,0.005493118,0.0465972],"genre_scores_gemma":[0.8366303,0.001054678,0.1484762,0.0001773467,0.00007398912,0.0001651705,0.000413868,0.0002516567,0.01275683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530664,"threshold_uncertainty_score":0.008465886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295373189383887,"score_gpt":0.2444253376378695,"score_spread":0.2214716057440307,"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."}}