{"id":"W2466300307","doi":"10.3390/s16071037","title":"Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal; Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Orientation (vector space); Joint (building); Inertial measurement unit; Inertial frame of reference; Quality (philosophy); Engineering; Computer science; Aerospace engineering; Physics; Structural engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002012453,0.000154843,0.000255571,0.00007531475,0.00003350545,0.00000774683,0.00004914838,0.00008464168,0.00004328549],"category_scores_gemma":[0.00009284492,0.0001026125,0.00006499442,0.0001436817,0.00006616827,0.00009307815,0.000004218943,0.00007045281,0.00003476704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009184016,"about_ca_system_score_gemma":0.00001654743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282971,"about_ca_topic_score_gemma":0.00004363726,"domain_scores_codex":[0.998886,0.00008414206,0.0003786733,0.0001625589,0.0002703203,0.0002183353],"domain_scores_gemma":[0.9994042,0.00007713379,0.00008961229,0.0002043743,0.0001539392,0.00007077068],"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":[0.0003024598,0.00003057006,0.003238425,0.00005853918,0.0001023302,0.000007404067,0.0006674364,0.05071878,0.9379176,0.0006234312,0.000077517,0.006255472],"study_design_scores_gemma":[0.003558815,0.0001749977,0.05913368,0.00009833813,0.00006713506,0.00001348365,0.0001499888,0.01082865,0.924904,0.00006726633,0.0005906558,0.000412909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934145,0.00001557379,0.004393481,0.0001379849,0.0002781861,0.000205734,0.00003359647,0.000229922,0.00129104],"genre_scores_gemma":[0.9994577,0.000006014649,0.0002276302,0.00001488004,0.0001231484,0.000006238541,0.00000655821,0.00003142323,0.0001264694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05589525,"threshold_uncertainty_score":0.4184415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404295454167457,"score_gpt":0.2255732830414255,"score_spread":0.211530328499751,"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."}}