{"id":"W2160621862","doi":"10.5539/mas.v7n11p26","title":"Microtesla Sensitivity and Noise of a Triple Collector Magnetotransistor","year":2013,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Noise (video); Materials science; Substrate (aquarium); Doping; Base (topology); Nuclear magnetic resonance; Electron; Acoustics; Optoelectronics; Analytical Chemistry (journal); Physics; Chemistry; Computer science; Electronic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895476,0.0001003193,0.0001461883,0.0001017219,0.00005191921,0.00003339134,0.0001158914,0.00004887178,0.00006249161],"category_scores_gemma":[0.00001557887,0.0001004514,0.00001632292,0.0002533202,0.0003990279,0.00007339859,0.00003280204,0.00008406146,0.000009599069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002619136,"about_ca_system_score_gemma":0.00002425103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031223,"about_ca_topic_score_gemma":0.00002381328,"domain_scores_codex":[0.9992688,0.00000692604,0.0001354603,0.0001972032,0.0001767799,0.0002148582],"domain_scores_gemma":[0.9996052,0.00003490788,0.00001834278,0.0002193063,0.00004476312,0.00007749208],"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":[0.000002375154,0.000007514474,0.00002081933,0.00003656032,0.000001163006,5.145577e-7,0.0005482558,0.0001002165,0.9936612,0.00009586746,0.0005354923,0.004990057],"study_design_scores_gemma":[0.0001572936,0.00002640334,0.005142509,0.000007365897,0.000004471343,0.000003890519,0.0000228925,0.4025092,0.5911274,0.0006963838,0.00014584,0.0001563621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249209,0.00005279202,0.06000974,0.00004655174,0.00004433331,0.0004541201,0.000004220425,0.0001974003,0.01426998],"genre_scores_gemma":[0.9833479,0.00001014355,0.0163766,0.00003656812,0.000008760067,0.00002679175,2.430239e-7,0.0000104431,0.0001825828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4025337,"threshold_uncertainty_score":0.409629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004541333649579555,"score_gpt":0.172415329210053,"score_spread":0.1678739955604735,"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."}}