{"id":"W2189037970","doi":"","title":"EVALUATION OF THE CONDITION AND THE PERFORMANCE OF UNDERGROUND FLUID FILLED HV LINKS AT HYDRO-QUÉBEC","year":2010,"lang":"en","type":"article","venue":"","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Asset (computer security); Engineering; Computer science; Environmental science; 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":[0.000356207,0.0003181081,0.0002112983,0.0009358534,0.0006552309,0.0007732566,0.0004147589,0.0003077789,0.002162277],"category_scores_gemma":[0.0008871682,0.00009885308,0.0001308832,0.0009006423,0.0004074645,0.0003606444,0.0003289789,0.0002426609,0.0003007872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00566223,"about_ca_system_score_gemma":0.001873719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8019772,"about_ca_topic_score_gemma":0.8899036,"domain_scores_codex":[0.9996266,0.00003283848,0.000009428458,0.00004338054,0.0001986691,0.00008909925],"domain_scores_gemma":[0.999014,0.00008719489,0.0001017471,0.00002813026,0.0006488205,0.0001201646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009371647,0.0003455625,0.6711909,0.0001878142,0.0001768558,0.002083599,0.001707326,0.1183015,0.1003499,0.0012833,0.004947819,0.09848833],"study_design_scores_gemma":[0.00002733656,0.0005251808,0.8906624,0.00004594773,0.00008869969,0.0002596315,0.002207989,0.0711423,0.03003579,0.0001227098,0.004794891,0.00008709665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947731,0.00005668223,0.0006732687,0.00001985527,0.000003419941,0.000015454,0.0006629248,0.00004101279,0.003754196],"genre_scores_gemma":[0.9972438,0.00002997265,0.0002816872,0.000004797362,7.875007e-7,0.000004563482,0.0003974287,0.000007532541,0.002029411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980228,"threshold_uncertainty_score":0.3983779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007063819669260487,"score_gpt":0.215788090493882,"score_spread":0.2087242708246215,"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."}}