{"id":"W2967573320","doi":"10.1109/icra.2019.8794397","title":"LineRanger: Analysis and Field Testing of an Innovative Robot for Efficient Assessment of Bundled High-Voltage Powerlines","year":2019,"lang":"en","type":"article","venue":"","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstacle; Software deployment; Robot; Computer science; Field (mathematics); Key (lock); Grid; Real-time computing; Control engineering; Simulation; Engineering; Artificial intelligence; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367806,0.0005114292,0.0003123817,0.0004686597,0.0002838866,0.0003324613,0.0004944003,0.0005523786,0.00199243],"category_scores_gemma":[0.0008096317,0.0001685621,0.0002353926,0.000196028,0.000445495,0.0003565905,0.0002679616,0.0002530265,0.000470127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566065,"about_ca_system_score_gemma":0.0006599589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006305547,"about_ca_topic_score_gemma":0.00641785,"domain_scores_codex":[0.9997652,0.00003764737,0.000008000564,0.00004160937,0.0001190448,0.00002851274],"domain_scores_gemma":[0.9995068,0.000133231,0.00009577701,0.00005747308,0.0001744543,0.0000322551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005544462,0.0004116807,0.01116601,0.0009341708,0.00006133167,0.0007517266,0.0003412221,0.606249,0.2527983,0.004655126,0.003576309,0.1185006],"study_design_scores_gemma":[0.00006355654,0.002227897,0.01339578,0.00004305198,0.00002857387,0.0001942187,0.0001536412,0.9344624,0.04533989,0.0005403563,0.003510965,0.00003971687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6105927,0.0003487947,0.3751844,0.0002624565,0.0000507239,0.0005548769,0.0004312791,0.002372905,0.01020197],"genre_scores_gemma":[0.9615142,0.000111772,0.03480525,0.00001660472,0.000004497344,0.0001179081,0.0001601293,0.00003892596,0.003230685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006305547,"threshold_uncertainty_score":0.01253766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093371877550289,"score_gpt":0.2728067843046991,"score_spread":0.2618730655291963,"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."}}