{"id":"W2475155088","doi":"10.1115/1.4033719","title":"Evaluation of Eight Methods for Aligning Orientation of Two Coordinate Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Orientation (vector space); Computer science; Standard deviation; Artificial intelligence; Robotics; Coordinate system; Variance (accounting); Cluster (spacecraft); Error analysis; Computer vision; Algorithm; Mathematics; Statistics; Robot; Geometry; Applied mathematics","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":[0.006087574,0.001730351,0.001302816,0.002676471,0.0005319574,0.001659006,0.001280764,0.001260918,0.003435042],"category_scores_gemma":[0.02353486,0.0006922056,0.001004467,0.001698414,0.0006286759,0.001423262,0.001574357,0.000687379,0.001017002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124611,"about_ca_system_score_gemma":0.0009850689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043593,"about_ca_topic_score_gemma":0.002033507,"domain_scores_codex":[0.9933825,0.001995043,0.0006549349,0.001023687,0.002684027,0.00025987],"domain_scores_gemma":[0.9840813,0.008574902,0.001401082,0.001354468,0.004181658,0.0004065873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003538766,0.0003900093,0.01590811,0.001284396,0.0006330747,0.0001049162,0.0005810667,0.01691523,0.03844266,0.001296929,0.001359738,0.9195452],"study_design_scores_gemma":[0.002127334,0.0133498,0.20738,0.001011432,0.002027473,0.002825616,0.002419845,0.5638937,0.1699408,0.004633586,0.02955674,0.0008336077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2390371,0.002667623,0.7494204,0.0001622508,0.0004099054,0.001077749,0.000350856,0.002529903,0.004344236],"genre_scores_gemma":[0.3533364,0.001009528,0.6413174,0.000072042,0.00008405936,0.0007004536,0.0007368121,0.0005483346,0.002194951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006087574,"threshold_uncertainty_score":0.03219455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216843906160485,"score_gpt":0.4085913708593804,"score_spread":0.3664229317977756,"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."}}