{"id":"W2542007037","doi":"10.1109/icise.2009.430","title":"Control Algorithm of an Autonomous Obstacles Negotiating Inspection Robot for Power Transmission Lines","year":2009,"lang":"en","type":"article","venue":"","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Shanghai for Science and Technology; Hydro-Québec","keywords":"Electric power transmission; Robot; Engineering; Simulation; Remote control; Computer science; Embedded system; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099948,0.0001642687,0.0002295769,0.000131439,0.00006964581,0.00003009307,0.00009330878,0.0001025644,0.00003603517],"category_scores_gemma":[0.00001906063,0.0001575465,0.00008727676,0.0001410864,0.00001446504,0.0003004627,0.000002317641,0.00009970501,0.000002974399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005860369,"about_ca_system_score_gemma":0.00001685421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003229344,"about_ca_topic_score_gemma":0.000005299313,"domain_scores_codex":[0.9991055,0.00001397592,0.0003724261,0.0001746464,0.0001150125,0.0002184835],"domain_scores_gemma":[0.9995509,0.00004928629,0.00005171091,0.0001596807,0.00009888443,0.00008952997],"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":[0.00002521701,0.0001318504,0.0000258237,0.00002041834,0.0000363252,0.000001288121,0.0002451909,0.796135,0.09005893,0.0006821631,0.0003109446,0.1123268],"study_design_scores_gemma":[0.001022234,0.0003125943,0.003075664,0.00001743082,0.00001940789,0.000008606998,0.00007999483,0.9633461,0.02950372,0.0003034599,0.002112576,0.0001982049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0170167,0.0002112408,0.979063,0.0001534497,0.0005390394,0.0003324751,0.00001357923,0.00124478,0.001425692],"genre_scores_gemma":[0.8845289,0.00001165562,0.1150895,0.00005643744,0.0001821133,0.00001228057,0.00001214727,0.00002978998,0.00007722196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8675122,"threshold_uncertainty_score":0.6424559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006737818493688857,"score_gpt":0.2321057553240996,"score_spread":0.2253679368304108,"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."}}