{"id":"W2549738548","doi":"10.1139/tcsme-2011-0015","title":"THE CALIBRATION OF AN ARRAY OF ACCELEROMETERS","year":2011,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Accelerometer; Calibration; Rigid body; Kinematics; Acoustics; Computer science; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001157827,0.00006961035,0.0001034772,0.00002348965,0.00008348449,0.000004028348,0.0001802423,0.0000828448,0.00001050563],"category_scores_gemma":[0.00001134662,0.00005341112,0.0002682754,0.0001744886,0.00002954351,0.00008837025,0.000001065166,0.00009271035,5.984063e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006542569,"about_ca_system_score_gemma":0.00003087443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195523,"about_ca_topic_score_gemma":0.01076778,"domain_scores_codex":[0.9995052,0.000005907064,0.0002129393,0.00005370908,0.00008223137,0.0001399655],"domain_scores_gemma":[0.9996338,0.00004777209,0.00003176977,0.000176182,0.00004093748,0.00006957079],"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":[0.00001956521,0.00002265942,0.000006382706,0.0002801744,0.0002435695,3.680035e-8,0.001617667,0.3091149,0.6797575,0.005761237,0.00003270644,0.003143569],"study_design_scores_gemma":[0.0001221928,0.00003866543,0.00009036402,0.00001860825,0.00004641313,5.91409e-7,0.0001122866,0.2790322,0.7202308,0.0001697832,0.0000763883,0.00006165377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2135984,0.00005215762,0.7851697,0.00003594727,0.0005666393,0.0003462247,0.0001062485,0.00005174112,0.00007296116],"genre_scores_gemma":[0.9907451,0.000008674778,0.009184136,0.000004695533,0.00001481498,0.00001312837,0.00000276183,0.00001830936,0.000008387843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7771467,"threshold_uncertainty_score":0.6342404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699222273684132,"score_gpt":0.1911891809377887,"score_spread":0.1741969582009474,"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."}}