{"id":"W2904314738","doi":"10.1109/inertialsensors.2018.8577108","title":"The world smallest, most accurate and reliable pure inertial navigator: ONYX™","year":2018,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Artillery; Electronics; Swap (finance); Inertial navigation system; Original equipment manufacturer; Inertial measurement unit; Computer science; Engineering; Aeronautics; Electrical engineering; Aerospace engineering; Inertial frame of reference; Artificial intelligence; Business","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":[0.0009834653,0.001109511,0.000515545,0.001212169,0.0007341558,0.001136761,0.0008428539,0.001013245,0.01350395],"category_scores_gemma":[0.0008207178,0.0003774438,0.0003551554,0.0007600464,0.0007289973,0.002080894,0.00095718,0.0009037757,0.01332075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799518,"about_ca_system_score_gemma":0.001228778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001839759,"about_ca_topic_score_gemma":0.002472942,"domain_scores_codex":[0.9992959,0.0000440977,0.00002351971,0.0001554905,0.0004137497,0.00006720518],"domain_scores_gemma":[0.9989514,0.0000640081,0.00011328,0.0001454774,0.0006164093,0.0001094329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003270816,0.00006411472,0.003275303,0.0005590204,0.00003475818,0.0001802465,0.000201716,0.000725069,0.1077852,0.01304289,0.1391923,0.7346123],"study_design_scores_gemma":[0.00004031416,0.0004455367,0.004200873,0.0001131219,0.00005475686,0.0008802218,0.00006599624,0.002082989,0.05307503,0.001185083,0.9377937,0.0000623378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09686315,0.0363053,0.3317316,0.01298426,0.006817259,0.000620741,0.007623225,0.02107015,0.4859844],"genre_scores_gemma":[0.3400509,0.0106009,0.3147038,0.004142553,0.001507057,0.0002512166,0.01027441,0.002525843,0.3159433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01350395,"threshold_uncertainty_score":0.04517519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007380061983301868,"score_gpt":0.2225471957628137,"score_spread":0.2151671337795118,"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."}}