{"id":"W3203431299","doi":"10.1007/s12555-020-0595-2","title":"Integrative Tracking Control Strategy for Robotic Excavation","year":2021,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Excavator; Controller (irrigation); Tracking (education); Position (finance); Control theory (sociology); Control engineering; Actuator; Computer science; Resistive touchscreen; Impedance control; Excavation; Engineering; Track (disk drive); Robot; Control (management); Artificial intelligence; Computer vision; 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":[0.0003065919,0.0008206688,0.0008300712,0.0004847169,0.0008788381,0.0008252556,0.001137804,0.0005749489,0.002460615],"category_scores_gemma":[0.0003757777,0.0002813498,0.0004640024,0.0004471114,0.0005019784,0.0007635025,0.001319331,0.0004647922,0.0004487998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681344,"about_ca_system_score_gemma":0.0006214915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959653,"about_ca_topic_score_gemma":0.002571274,"domain_scores_codex":[0.9997528,0.00002726439,0.00001317452,0.00008446861,0.00007868107,0.0000435197],"domain_scores_gemma":[0.9997941,0.00003410684,0.00003553592,0.00002451867,0.00008926422,0.00002259701],"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":[0.0006325233,0.0002532739,0.001336526,0.0005145555,0.0001740232,0.0005912773,0.0007918385,0.4635047,0.1138809,0.05803828,0.004049972,0.356232],"study_design_scores_gemma":[0.00004025484,0.0004324618,0.000800694,0.00001890132,0.00004954557,0.0001903976,0.00007759486,0.9812804,0.008774155,0.005331311,0.002975974,0.00002840611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06016123,0.0003895956,0.9245222,0.0001195715,0.00009847672,0.00005441862,0.00002313804,0.0004081436,0.01422318],"genre_scores_gemma":[0.9691767,0.0001731368,0.02373412,0.00004617106,0.0000318595,0.00006209222,0.0000366057,0.00002540231,0.006713975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002959653,"threshold_uncertainty_score":0.00823164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935241656053952,"score_gpt":0.2682659344783271,"score_spread":0.2489135179177876,"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."}}