{"id":"W2417171554","doi":"10.3390/s16060854","title":"An IMU Evaluation Method Using a Signal Grafting Scheme","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National High-tech Research and Development Program; China Postdoctoral Science Foundation","keywords":"Inertial measurement unit; Units of measurement; Computer science; Artificial intelligence","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":[0.001336985,0.0011864,0.0005540681,0.001930641,0.0004337142,0.0006910504,0.0007845594,0.0006212202,0.002278173],"category_scores_gemma":[0.003155879,0.0003072101,0.0005612433,0.001066619,0.0005491281,0.001356451,0.001185551,0.0006333047,0.001115485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194727,"about_ca_system_score_gemma":0.0004159077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006342189,"about_ca_topic_score_gemma":0.0006988951,"domain_scores_codex":[0.99834,0.0003241353,0.0001019324,0.0002760282,0.0008782203,0.00007979356],"domain_scores_gemma":[0.9983507,0.0002970383,0.0001657978,0.000370842,0.000756881,0.00005873126],"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":[0.000581403,0.0002511386,0.003599439,0.0002280975,0.0000924653,0.0001101031,0.0002362422,0.01843664,0.2777798,0.004045038,0.001179752,0.6934599],"study_design_scores_gemma":[0.0001167326,0.001821365,0.01247229,0.00005609438,0.0001721977,0.0007692505,0.000205335,0.4885776,0.4826691,0.003056484,0.009856072,0.0002274456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07673834,0.0001228388,0.9182383,0.00005532783,0.0001105316,0.000349662,0.00007335173,0.001623212,0.002688427],"genre_scores_gemma":[0.4267344,0.000143124,0.5695751,0.0000965641,0.00006678697,0.0002914393,0.0002349504,0.0001660497,0.002691522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002278173,"threshold_uncertainty_score":0.007621288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027813726214237,"score_gpt":0.3196858825480292,"score_spread":0.2894077452858869,"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."}}