{"id":"W2910933689","doi":"10.1109/oceans.2018.8604729","title":"Characterization of a 3D Underwater Magneto-Inductive Transmitter Coil Array","year":2018,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transmitter; Electromagnetic coil; Sensitivity (control systems); Inductive coupling; Underwater; Magneto; Inductive sensor; Coupling (piping); Acoustics; Channel (broadcasting); Electrical conductor; Characterization (materials science); Electrical engineering; Electronic engineering; Computer science; Physics; Engineering; Optics; Geology; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005945077,0.00009096233,0.0001227763,0.00005103743,0.00003015496,0.00001987226,0.0001405662,0.0000560107,0.0004510516],"category_scores_gemma":[1.89035e-7,0.00007519483,0.00002918217,0.00009706543,0.00005109139,0.0001401397,0.00001005192,0.00005308461,0.0001233845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001778364,"about_ca_system_score_gemma":0.000005136264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823128,"about_ca_topic_score_gemma":0.00002544594,"domain_scores_codex":[0.9994563,0.00002619133,0.0002191199,0.00008826347,0.00008804136,0.0001221125],"domain_scores_gemma":[0.9996108,0.000007227643,0.00002554103,0.000255983,0.00007063598,0.00002983644],"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":[0.000004325062,0.00001251495,0.000199107,0.00002369429,0.00002505285,9.527501e-8,0.001584123,0.000003595423,0.9934413,0.00005721933,0.00002413102,0.004624777],"study_design_scores_gemma":[0.0002161406,0.00005248212,0.00208884,0.00002022446,0.000008778876,0.00000304187,0.0001385466,0.00119558,0.9638448,0.00009040227,0.03221323,0.0001279074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6948522,0.000008818924,0.289001,0.0001456634,0.00007385201,0.0001075805,0.000005274737,0.0001364743,0.01566918],"genre_scores_gemma":[0.996476,0.00001350444,0.002299291,0.00009209449,0.00009858738,0.00001341671,0.00001568874,0.0000211602,0.0009702825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3016238,"threshold_uncertainty_score":0.4938699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510743266939816,"score_gpt":0.2056899654730166,"score_spread":0.1905825328036184,"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."}}