{"id":"W2122033835","doi":"10.1109/tim.2007.904485","title":"Observability Analysis for INS Alignment in Horizontal Drilling","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Observability; Inertial measurement unit; Azimuth; Accelerometer; Gyroscope; Inertial navigation system; Directional drilling; Acceleration; Control theory (sociology); Computer science; Measurement while drilling; Engineering; Simulation; Aerospace engineering; Control engineering; Inertial frame of reference; Artificial intelligence; Drilling; Mechanical engineering; Physics; Mathematics; Optics","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":[0.001713437,0.0007747038,0.0005453382,0.0007482176,0.0004479284,0.0007910934,0.0005922461,0.0004338883,0.001631185],"category_scores_gemma":[0.009529378,0.0003556545,0.000648139,0.0004290941,0.001062565,0.001034281,0.001429771,0.001341122,0.0001742206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007288053,"about_ca_system_score_gemma":0.0009262653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005438819,"about_ca_topic_score_gemma":0.002367824,"domain_scores_codex":[0.9989923,0.0002429002,0.00005676516,0.0001992644,0.0003643113,0.0001445012],"domain_scores_gemma":[0.9949936,0.003337502,0.0008240738,0.0002201302,0.0005047301,0.0001198992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002492933,0.00005113768,0.00518142,0.0001776051,0.00008034812,0.0003566953,0.0003105009,0.8793869,0.009893611,0.05583774,0.0005520297,0.04792282],"study_design_scores_gemma":[0.000003244153,0.00003729386,0.001486414,0.000007762852,0.000007926727,0.00002860966,0.00001963738,0.9897932,0.001113816,0.007248822,0.0002431907,0.00001016561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03123059,0.0001070289,0.9667063,0.00007392114,0.00001315303,0.00002008604,0.00004290984,0.00009263073,0.001713451],"genre_scores_gemma":[0.9746181,0.0002218293,0.02346973,0.00003017331,0.00004134509,0.0000566526,0.0001692215,0.00004083033,0.001352099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005438819,"threshold_uncertainty_score":0.01081431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414439182165657,"score_gpt":0.2377941945408105,"score_spread":0.2036498027191539,"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."}}