{"id":"W3043460515","doi":"10.22215/etd/2008-08518","title":"Attenuating magnetic interference in a UAV system","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Interference (communication); Physics; Computer science; Telecommunications; Art; Humanities; Channel (broadcasting)","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":[0.0001120402,0.0001672196,0.0002358725,0.0001502685,0.0003312271,0.000327904,0.0002521091,0.0002622486,0.001586327],"category_scores_gemma":[0.0002707271,0.00007765865,0.00008714776,0.0001217431,0.0001449942,0.0001777087,0.0002336102,0.0002082366,0.0003283566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003910148,"about_ca_system_score_gemma":0.0002213383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002871596,"about_ca_topic_score_gemma":0.00361589,"domain_scores_codex":[0.9998987,0.0000226234,0.000003188404,0.00001395478,0.00003693085,0.00002461632],"domain_scores_gemma":[0.9998897,0.00002769809,0.00001092925,0.000009534031,0.00004461078,0.00001749319],"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":[0.002188855,0.0002872731,0.0144393,0.0002541887,0.0001303982,0.003555497,0.00103895,0.2877244,0.4667942,0.01452048,0.0103662,0.1987003],"study_design_scores_gemma":[0.00005733941,0.0005018355,0.004570206,0.00001982137,0.00004497181,0.0003965856,0.0001903287,0.9474576,0.03990538,0.001004787,0.005832617,0.00001853727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80672,0.0005996363,0.1524521,0.0007054918,0.0002097689,0.00007298944,0.00006670642,0.00135039,0.03782299],"genre_scores_gemma":[0.9904832,0.00006331231,0.005308382,0.00003809264,0.00001848352,0.000006608123,0.00001532586,0.000009200599,0.004057284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002871596,"threshold_uncertainty_score":0.005709708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925563285324563,"score_gpt":0.2119083065843491,"score_spread":0.2039827432990245,"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."}}