{"id":"W2009471830","doi":"10.1016/j.autcon.2015.03.006","title":"Optimization-based excavator pose estimation using real-time location systems","year":2015,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"WorkSafeBC","keywords":"Excavator; Earthworks; Identification (biology); Engineering; Computer science; Estimation; Real-time computing; Reliability engineering; Systems engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001765402,0.000152983,0.0002407495,0.0005519734,0.0004708341,0.00003301171,0.00009988678,0.0002848224,0.0002022597],"category_scores_gemma":[0.001076414,0.000163535,0.00002568911,0.00107405,0.00007582244,0.0006361246,0.00002335846,0.0002844685,0.0003835833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444482,"about_ca_system_score_gemma":0.002598239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893689,"about_ca_topic_score_gemma":0.0000267737,"domain_scores_codex":[0.9967449,0.0009761025,0.0009906094,0.0002921382,0.0006073907,0.0003888036],"domain_scores_gemma":[0.9971821,0.0006146323,0.0004840277,0.0002741379,0.001220723,0.0002243545],"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":[0.0001218921,0.000034408,0.04287644,0.0002606649,0.000004445949,8.55143e-7,0.0002880476,0.9510481,0.00007106222,0.002158633,0.0003631696,0.002772263],"study_design_scores_gemma":[0.001372408,0.00004788927,0.01944474,0.0003053115,0.000008671876,0.000005866013,0.0005906631,0.9776843,0.000012545,0.0002944427,0.00009263546,0.0001405653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.422354,0.00007987221,0.559088,0.0009692041,0.004140454,0.003892651,0.00004278389,0.0006700539,0.008763018],"genre_scores_gemma":[0.9192882,0.00001292244,0.07909645,0.00009193725,0.000378619,0.0003849019,0.0005781658,0.00003548925,0.0001333644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4969342,"threshold_uncertainty_score":0.6668763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09144097384116828,"score_gpt":0.4455720961876607,"score_spread":0.3541311223464925,"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."}}