{"id":"W1582978567","doi":"10.1109/intmag.1997.597679","title":"Variable Inductance Using A Magnetic Fluid And A DC Magnetic Bias Field","year":2005,"lang":"en","type":"article","venue":"1997 IEEE International Magnetics Conference (INTERMAG'97)","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Magnetic field; Inductance; Variable (mathematics); Physics; Electrical engineering; Materials science; Condensed matter physics; Voltage; Engineering; Mathematics; Mathematical analysis","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":[0.0002804398,0.0003438096,0.0004039936,0.000412684,0.0005078522,0.0007489613,0.0008276303,0.0003353815,0.001729421],"category_scores_gemma":[0.0005813201,0.0002469344,0.0002430291,0.0003325184,0.0007466616,0.0008134689,0.0006479381,0.000410821,0.0005637938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068423,"about_ca_system_score_gemma":0.0004063865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004262991,"about_ca_topic_score_gemma":0.0007809313,"domain_scores_codex":[0.9998193,0.00003373722,0.00001414991,0.00004508021,0.00006027677,0.00002742456],"domain_scores_gemma":[0.9997447,0.00008123192,0.00005705212,0.00004644276,0.00004304336,0.00002748134],"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":[0.0004159333,0.0001307951,0.0005064319,0.0002717936,0.00002338912,0.0001623242,0.000197891,0.002792537,0.9428766,0.01898142,0.00141853,0.03222244],"study_design_scores_gemma":[0.0001673309,0.0004384364,0.0004816829,0.00003449076,0.00007343166,0.0003708233,0.00004170477,0.03637907,0.9219474,0.002685272,0.0373303,0.00004995713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392899,0.003037222,0.4234492,0.001216045,0.001192614,0.0002180787,0.0001839007,0.002483762,0.02892928],"genre_scores_gemma":[0.9282847,0.0004043671,0.06332075,0.0001546678,0.0001142262,0.00004546628,0.00009031216,0.000184208,0.00740134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001729421,"threshold_uncertainty_score":0.005785525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932175559964117,"score_gpt":0.2769259082261373,"score_spread":0.2076041526264962,"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."}}