{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477673,0.0006077793,0.0004663926,0.000775837,0.0002218578,0.0007319702,0.0003844878,0.0003265578,0.0004691574],"category_scores_gemma":[0.005953682,0.0001656299,0.0002450943,0.0007170502,0.0004781637,0.0004925574,0.0003919698,0.0002496611,0.0002558795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862137,"about_ca_system_score_gemma":0.0002892731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917921,"about_ca_topic_score_gemma":0.002128895,"domain_scores_codex":[0.9986047,0.0003826896,0.0001068813,0.0002461126,0.0005859092,0.00007372678],"domain_scores_gemma":[0.9968739,0.0009142137,0.0007279514,0.0003691751,0.001041429,0.00007323749],"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":[0.001444403,0.0004373567,0.1794371,0.0004522972,0.0002207236,0.0001569614,0.0008600495,0.02434474,0.2752336,0.0007955045,0.001200289,0.515417],"study_design_scores_gemma":[0.0001074469,0.002028592,0.5663872,0.00007990981,0.0002051345,0.0004904403,0.0005399761,0.2831477,0.1424631,0.001348281,0.003081253,0.0001209117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6029494,0.0006014782,0.3930524,0.0000989457,0.00008919081,0.0001643942,0.0003177648,0.0007682732,0.001958115],"genre_scores_gemma":[0.9541247,0.0001711388,0.04483227,0.00003248846,0.00004195164,0.00006013515,0.0002652472,0.0000488816,0.000423082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917921,"threshold_uncertainty_score":0.007814765,"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."}}