{"id":"W3009168977","doi":"10.1080/17480930.2020.1723823","title":"Digging force and power consumption during robotic excavation of cable shovel: experimental study and DEM simulation","year":2020,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Shovel; Digging; Engineering; Excavator; Range (aeronautics); Excavation; Power consumption; Power (physics); Marine engineering; Simulation; Structural engineering; Mechanical engineering; Geotechnical 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":[0.0002552234,0.0003656101,0.0003488551,0.0005926899,0.0002926574,0.0002552538,0.0004894637,0.0005328056,0.001204375],"category_scores_gemma":[0.0005193522,0.0001517881,0.0003479118,0.0004336873,0.0003968921,0.0004298593,0.0002405896,0.0002789257,0.0001603439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910764,"about_ca_system_score_gemma":0.0001810972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900233,"about_ca_topic_score_gemma":0.003396609,"domain_scores_codex":[0.999895,0.00001264006,0.000008351347,0.00002304986,0.00003415572,0.00002678115],"domain_scores_gemma":[0.9996371,0.0001617073,0.00003488265,0.00006736818,0.00006943526,0.00002939676],"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":[0.001416113,0.00135934,0.05800804,0.0008372661,0.00009680544,0.002944794,0.001551406,0.6358825,0.2074165,0.002395251,0.002220019,0.08587197],"study_design_scores_gemma":[0.00006762717,0.001136548,0.04828324,0.00002344354,0.00004278534,0.0003850579,0.0008515961,0.9008195,0.04638507,0.0005119674,0.001428836,0.00006429349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950975,0.00002263861,0.003509907,0.00001619418,0.000005998949,0.00001453496,0.000162216,0.0001058663,0.001065097],"genre_scores_gemma":[0.998128,0.00002369744,0.001360589,0.00000234863,9.05152e-7,0.00001062242,0.00007611844,0.000004371025,0.0003931923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900233,"threshold_uncertainty_score":0.004029036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336668587296892,"score_gpt":0.2516572588955309,"score_spread":0.2282905730225619,"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."}}