{"id":"W2989732077","doi":"10.18280/i2m.180505","title":"End Position Detection of Industrial Robots Based on Laser Tracker","year":2019,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Baoji University of Arts And Sciences","keywords":"Laser tracker; Position (finance); Robot; Artificial intelligence; Computer vision; Laser; Computer science; Optics; Physics; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003827206,0.0001656242,0.0002235671,0.0002533847,0.00004543448,0.000029512,0.00006941467,0.0003298429,0.0002189788],"category_scores_gemma":[0.00003900201,0.0001568872,0.00009355588,0.0002843192,0.00001831783,0.0001938907,0.000006263913,0.0002592964,0.0001255143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465285,"about_ca_system_score_gemma":0.00002716114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002889703,"about_ca_topic_score_gemma":0.000008367343,"domain_scores_codex":[0.9987659,0.0001336039,0.0003941749,0.0001968321,0.0003253528,0.0001840733],"domain_scores_gemma":[0.9994738,0.0001027615,0.000121469,0.000202173,0.0000572416,0.00004255732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009111011,0.0000934277,0.01233125,0.00005953882,0.00008621519,0.000004168329,0.0001039267,0.4785851,0.3510108,0.00006192296,0.0005335828,0.156219],"study_design_scores_gemma":[0.005151852,0.001369011,0.01670767,0.00009046369,0.00004632097,0.000007512215,0.0001324948,0.05239401,0.9229355,0.0000935881,0.0007478992,0.0003236253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906232,0.000008012001,0.004055955,0.00004688626,0.002593998,0.000500951,0.00002235952,0.0002204408,0.001928204],"genre_scores_gemma":[0.9995273,0.000002267902,0.00009510118,0.00005891387,0.0001994573,0.00002920029,0.00003648532,0.00002359703,0.00002762551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5719248,"threshold_uncertainty_score":0.6397675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421029632021503,"score_gpt":0.2453851577711057,"score_spread":0.2211748614508907,"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."}}