{"id":"W2155052377","doi":"10.1109/aim.2008.4601695","title":"Development of a Mobile Robotic Platform for the Underground Distribution Lines","year":2008,"lang":"en","type":"article","venue":"","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Chassis; Kinematics; Mobile robot; Teleoperation; Image stitching; Engineering; Computer science; Simulation; Robot; Embedded system; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005330687,0.00007230209,0.00008739532,0.00001919345,0.0001013957,0.000005323986,0.0000737061,0.00003165229,0.00003114637],"category_scores_gemma":[0.0000130863,0.00005092177,0.00003661573,0.00009955319,0.00002269448,0.0000679572,0.00001226415,0.00004044669,0.0000122506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007979442,"about_ca_system_score_gemma":0.00003106765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005940808,"about_ca_topic_score_gemma":0.00005169514,"domain_scores_codex":[0.9995366,0.000001104441,0.0002046788,0.00006111298,0.00008035719,0.0001161665],"domain_scores_gemma":[0.9997337,0.0000780441,0.0000204482,0.000105229,0.00004105191,0.0000214733],"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":[0.00001558772,0.00008352251,0.0002707437,0.0000996806,0.0001758265,0.000001030944,0.0009486058,0.972919,0.00365195,0.004309577,0.01111309,0.006411355],"study_design_scores_gemma":[0.001330845,0.00009476765,0.01821994,0.00004446111,0.0000499204,0.00007312945,0.0009002829,0.6936603,0.1103992,0.000662823,0.1740089,0.000555495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08607616,0.0001398952,0.912324,0.00003280252,0.0003493057,0.0002500098,0.000004457427,0.0001827055,0.0006406881],"genre_scores_gemma":[0.9881443,0.00003468409,0.01119861,0.000008253037,0.0000603257,0.00009343308,0.00002636932,0.00001194692,0.0004220615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9020681,"threshold_uncertainty_score":0.2076529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063156389854759,"score_gpt":0.2428084650088182,"score_spread":0.2121769011102706,"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."}}