{"id":"W2625735129","doi":"10.1061/9780784480847.019","title":"Error Quantification and Visualization in Using Sensors to Position Backhoe Excavator","year":2017,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Drainage Services Department; National Science Council","keywords":"Excavator; Visualization; Computer science; Position (finance); Computer vision; Artificial intelligence; Engineering; Mechanical engineering","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":[0.002603187,0.001095406,0.0006667356,0.001128191,0.000369373,0.001843452,0.00140462,0.001395206,0.001589886],"category_scores_gemma":[0.01282855,0.0006890009,0.0006765508,0.0007397781,0.001402577,0.004490656,0.001862947,0.001047,0.0003739289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005739852,"about_ca_system_score_gemma":0.0007011369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665639,"about_ca_topic_score_gemma":0.001004735,"domain_scores_codex":[0.9975472,0.0007478058,0.0001179797,0.0002953129,0.001204903,0.00008684445],"domain_scores_gemma":[0.9940751,0.003928985,0.0006192507,0.0006060462,0.0007226943,0.00004788638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002063159,0.00006567744,0.001538163,0.0003750517,0.00004447273,0.0002867313,0.0009619756,0.672982,0.04597714,0.09873874,0.0009204152,0.1779033],"study_design_scores_gemma":[0.000009742639,0.0001159625,0.0004436421,0.00006650639,0.00001378973,0.0002503931,0.0001219811,0.9440321,0.03839436,0.01269994,0.003793363,0.00005816633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003914755,0.0001034667,0.9950073,0.00004938535,0.00001658165,0.00001198633,0.00001122313,0.0001956332,0.0006895776],"genre_scores_gemma":[0.4149056,0.0007355013,0.5809937,0.00005930801,0.00005228017,0.0001083544,0.00006269194,0.0002409826,0.002841665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002603187,"threshold_uncertainty_score":0.01376712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605358384542235,"score_gpt":0.3154707510276365,"score_spread":0.2694171671822141,"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."}}