{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958025,0.0005009259,0.0002338525,0.0002786657,0.0003259143,0.0003353968,0.0006898896,0.0003656355,0.003155062],"category_scores_gemma":[0.0001971222,0.0002150326,0.0002591491,0.0001181141,0.0003331323,0.0004456757,0.0005003144,0.0004241754,0.0009502971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928909,"about_ca_system_score_gemma":0.001183535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305208,"about_ca_topic_score_gemma":0.004477929,"domain_scores_codex":[0.9998382,0.00001129945,0.000004709809,0.00003194824,0.00008691997,0.00002688906],"domain_scores_gemma":[0.9998844,0.00001077593,0.00001649596,0.0000162606,0.00004869343,0.00002344003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001770118,0.000143946,0.002790395,0.0003578303,0.00004092745,0.001363221,0.0005713367,0.0759417,0.5847568,0.01886632,0.004351377,0.3106392],"study_design_scores_gemma":[0.0002583841,0.003815024,0.01149929,0.0002059057,0.00008873452,0.002438297,0.0005345149,0.3894096,0.3017603,0.003834588,0.2859686,0.0001867624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1471766,0.0002509439,0.8335657,0.0001891515,0.0001367045,0.0004106779,0.0001483195,0.002141372,0.01598051],"genre_scores_gemma":[0.5523206,0.0003547366,0.4215994,0.00006197547,0.00002828318,0.0003146828,0.0003185656,0.0001059154,0.02489573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003305208,"threshold_uncertainty_score":0.01055473,"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."}}