{"id":"W2766140838","doi":"10.1080/10255842.2017.1382855","title":"Comparison of rotation tensor extracted from affine approximation and least square optimization","year":2017,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Affine transformation; Rotation (mathematics); Tensor (intrinsic definition); Square (algebra); Mathematics; Affine combination; Geometry; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352714,0.0001941849,0.0003667309,0.0002960759,0.00006526712,0.00006874949,0.0002030247,0.0002325627,0.0000167164],"category_scores_gemma":[0.0001503219,0.0002041241,0.00004166875,0.0002392448,0.00003911773,0.0002337434,0.00007515648,0.0002161484,0.00000110041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006303309,"about_ca_system_score_gemma":0.000005578937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003720539,"about_ca_topic_score_gemma":0.000001549408,"domain_scores_codex":[0.9987769,0.00004980049,0.0005323582,0.0002330889,0.0002006834,0.000207129],"domain_scores_gemma":[0.9992812,0.0001437923,0.0001357419,0.0002845706,0.00006160051,0.00009310672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001255754,0.00005768062,0.0001121618,0.0001778606,0.00002842523,0.000002258564,0.0003886539,0.1819452,0.5224252,0.0002295614,0.00001216561,0.2946083],"study_design_scores_gemma":[0.0005049547,0.00004824331,0.001913953,0.0001726097,0.00001646161,0.00000195463,0.00001835687,0.941107,0.05574158,0.0001278414,0.0001554545,0.0001915872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08171132,0.0001786076,0.9167999,0.00004005239,0.0008848989,0.0001923135,0.00001675397,0.0001599411,0.00001619703],"genre_scores_gemma":[0.4947265,0.00002879644,0.5049594,0.000003083095,0.0001475907,0.00000868442,0.0001014452,0.0000236415,8.823612e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7591618,"threshold_uncertainty_score":0.8323938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744797174006057,"score_gpt":0.3396565222802371,"score_spread":0.3122085505401765,"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."}}