{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619017,0.0004413657,0.0008737185,0.001098478,0.0003651983,0.0006557817,0.00100306,0.001122372,0.0006150529],"category_scores_gemma":[0.001480859,0.0004116397,0.0003688559,0.0005861036,0.0004247238,0.0009812317,0.000772487,0.0006284081,0.0006236255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516541,"about_ca_system_score_gemma":0.000411297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006715425,"about_ca_topic_score_gemma":0.0007438645,"domain_scores_codex":[0.9986663,0.0001854684,0.00004403479,0.0002642065,0.0007684951,0.00007152803],"domain_scores_gemma":[0.9984824,0.000433169,0.0002900332,0.0001645969,0.0005605705,0.00006919385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000541646,0.0001492152,0.01248016,0.0003632249,0.00007459066,0.0006173468,0.0004314398,0.01829525,0.527587,0.002332711,0.001851535,0.4352759],"study_design_scores_gemma":[0.0001178612,0.00119857,0.0231025,0.0000712217,0.00009567189,0.002175824,0.0001877199,0.6010508,0.361193,0.001899,0.008697801,0.000210105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09355474,0.0005773526,0.9025281,0.00005812533,0.00007186671,0.00003405629,0.00003106644,0.001626579,0.001518093],"genre_scores_gemma":[0.6831239,0.0003553652,0.3133073,0.00009394028,0.00004318449,0.00006804969,0.0001213781,0.00008125071,0.002805642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001122372,"threshold_uncertainty_score":0.002971709,"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."}}