{"id":"W1986283831","doi":"10.1002/rob.20418","title":"Field‐oriented developments for LineScout Technology and its deployment on large water crossing transmission lines","year":2011,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Software deployment; Electric power transmission; Field (mathematics); Reliability (semiconductor); Engineering; Transmission (telecommunications); Key (lock); Power transmission; Reliability engineering; Transmission line; Systems engineering; Power (physics); Computer science; Electrical engineering; Telecommunications; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001667773,0.0005092723,0.0002382569,0.0007112774,0.0008435292,0.0004682397,0.0007705538,0.0004953655,0.00234249],"category_scores_gemma":[0.00121369,0.000225998,0.0002368219,0.0004462201,0.0007920366,0.0006431656,0.0004353205,0.000659077,0.0005665735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134576,"about_ca_system_score_gemma":0.001759903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05155376,"about_ca_topic_score_gemma":0.1022837,"domain_scores_codex":[0.9992456,0.0001605579,0.00002253687,0.0001532551,0.0003298789,0.00008816864],"domain_scores_gemma":[0.998341,0.0001821603,0.0001036628,0.0001894182,0.001021013,0.0001627334],"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":[0.0009289365,0.002720559,0.03921502,0.0008992265,0.00005548372,0.002008518,0.003331262,0.03543232,0.4600847,0.003290859,0.009109652,0.4429235],"study_design_scores_gemma":[0.0006355994,0.03304802,0.3562258,0.0004621293,0.0001635472,0.003298568,0.005625316,0.08357214,0.3568855,0.001758213,0.157997,0.0003280786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085568,0.0003764204,0.07433487,0.0006915538,0.0001003905,0.001126143,0.0006007836,0.001106114,0.01310688],"genre_scores_gemma":[0.9056332,0.0003723364,0.08413616,0.00006575006,0.00002627607,0.0002982773,0.0006794195,0.00006835398,0.008720255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05155376,"threshold_uncertainty_score":0.1025074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033954899080075,"score_gpt":0.2552335828146629,"score_spread":0.2348940338238621,"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."}}